D: ipacs08
t: md5_checksum 91af0e2cf2bccf719c1fbca8b8cee7e5
H: housing NUMPREC 1 "H" 41269339
t: default_weight (datanum=1)*HHWT
t: weight_1 HHWT
t: weight_2 case(y2k=1970 & (datanum=1 | datanum=2),0.5*HHWT,(y2k<>1970) & (datanum=1),HHWT,0)
l:  Housing Hierarchy  -  40M Housing Level Records
l:  The Housing records contain information that 
l:  applies to physical housing units and every 
l:  person within a given unit.
s: Housing Hierarchy
I: RECTYPE -1 -1 0 0 1 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Record type
s: Record type
c: "." -1 -1 "Not Available for this Year and Data Set"
c: "P" 0 -1 "P' 'Person"
c: "P" 0 -1 "P' 'Person Record"
c: "H" 0 -1 "H"
I: YEAR 1850 2007 1850 2007 2 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Census year
s: Census year
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 1850 -1 "1850"
c: 1860 -1 "1860"
c: 1870 -1 "1870"
c: 1880 -1 "1880"
c: 1900 -1 "1900"
c: 1910 -1 "1910"
c: 1920 -1 "1920"
c: 1930 -1 "1930"
c: 1940 -1 "1940"
c: 1950 -1 "1950"
c: 1960 -1 "1960"
c: 1970 -1 "1970"
c: 1980 -1 "1980"
c: 1990 -1 "1990"
c: 2000 -1 "2000"
c: 2001 -1 "2001"
c: 2002 -1 "2002"
c: 2003 -1 "2003"
c: 2004 -1 "2004"
c: 2005 -1 "2005"
c: 2006 -1 "2006"
c: 2007 -1 "2007"
I: DATANUM -1 -1 0 9 6 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Data set number
s: Data set number
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: DNUM 185001 200702 185001 200702 2 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Year and data set number
s: Year and data set number
c: "......" -1 -1 "Not Available for this Year and Data Set"
c: 185001 -1 "1850 Free Population"
c: 186001 -1 "1860 Unweighted"
c: 186002 -1 "1860 Combined with Black Oversample"
c: 187001 -1 "1870 Unweighted"
c: 187002 -1 "1870 Combined with Black Oversample"
c: 188001 -1 "1880 1% Sample"
c: 188002 -1 "1880 5% Sample with Oversamples"
c: 190001 -1 "1900 1% Sample with Oversamples"
c: 190002 -1 "1900 1% Unweighted Sample"
c: 191001 -1 "1910 1.4% Sample with Oversamples"
c: 191002 -1 "1910 1% Unweighted Sample"
c: 191003 -1 "1910 Puerto Rican Census sample"
c: 192001 -1 "1920 1% Sample"
c: 192002 -1 "1920 Puerto Rican Census sample"
c: 193001 -1 "1930 1% Sample"
c: 194001 -1 "1940 1% Sample"
c: 195001 -1 "1950 1% Sample"
c: 196001 -1 "1960 1% Sample"
c: 197001 -1 "1970 Form 1 State (5% State)"
c: 197002 -1 "1970 Form 2 State (15% State)"
c: 197003 -1 "1970 Form 1 Metro (5% County group)"
c: 197004 -1 "1970 Form 2 Metro (15% County group)"
c: 197005 -1 "1970 Form 1 Neighborhood (5% Neighborhood Characteristics)"
c: 197006 -1 "1970 Form 2 Neighborhood (15% Neighborhood Characteristics)"
c: 197008 -1 "1970 Puerto Rico State sample"
c: 197009 -1 "1970 Puerto Rico Municipio sample"
c: 197000 -1 "1970 Puerto Rico Neighborhood sample"
c: 198001 -1 "1980 State (A, 5% State)"
c: 198002 -1 "1980 Metro (B, 1% County group"
c: 198003 -1 "1980 Urban/Rural (C, 1% Urban/rural)"
c: 198004 -1 "1980 Labor Market Areas ('D,' 1% State)"
c: 198005 -1 "1980 Detailed Metro/Nonmetro ('E,' 1% Urban/rural)"
c: 198006 -1 "1980 Puerto Rico 5% sample"
c: 198007 -1 "1980 Puerto Rico 1% sample"
c: 198008 -1 "1980 Puerto Rico Urban/Rural sample"
c: 199001 -1 "1990 State (5% State PUMA)"
c: 199002 -1 "1990 Metro (1% Metropolitan PUMA)"
c: 199003 -1 "1990 Elderly (3% Elderly)"
c: 199004 -1 "1990 Flat (1%, Derived from State Sample)"
c: 199005 -1 "1990 Labor Market Areas ('L,' 1% State)"
c: 199006 -1 "1990 Puerto Rico 5% sample"
c: 199007 -1 "1990 Puerto Rico 1% sample"
c: 200001 -1 "2000 State (5% State PUMA)"
c: 200002 -1 "2000 State (1% State SuperPUMA)"
c: 200003 -1 "2000 ACS"
c: 200004 -1 "2000 Flat (1%, Derived from State Sample"
c: 200005 -1 "2000 Puerto Rico 5% sample"
c: 200006 -1 "2000 Puerto Rico 1% sample"
c: 200101 -1 "2001 ACS"
c: 200201 -1 "2002 ACS"
c: 200301 -1 "2003 ACS"
c: 200401 -1 "2004 ACS"
c: 200501 -1 "2005 ACS"
c: 200502 -1 "2005 Puerto Rico CS sample"
c: 200601 -1 "2006 ACS"
c: 200602 -1 "2006 Puerto Rico CS sample"
c: 200701 -1 "2007 ACS"
c: 200702 -1 "2007 Puerto Rico CS sample"
I: SERIAL -1 -1 1 54402301 8 8
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Household serial number
s: Household serial number
c: "........" -1 -1 "Not Available for this Year and Data Set"
I: NUMPREC 0 30 0 54 16 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of person records following
s: Number of person records following
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Vacant household"
c: 1 -1 "1 person record"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
I: SUBSAMP 0 99 0 99 18 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Subsample number
s: Subsample number
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "First 1% subsample"
c: 1 -1 "2nd 1% subsample"
c: 2 -1 "02"
c: 3 -1 "03"
c: 4 -1 "04"
c: 5 -1 "05"
c: 6 -1 "06"
c: 7 -1 "07"
c: 8 -1 "08"
c: 9 -1 "09"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 31 -1 "31"
c: 32 -1 "32"
c: 33 -1 "33"
c: 34 -1 "34"
c: 35 -1 "35"
c: 36 -1 "36"
c: 37 -1 "37"
c: 38 -1 "38"
c: 39 -1 "39"
c: 40 -1 "40"
c: 41 -1 "41"
c: 42 -1 "42"
c: 43 -1 "43"
c: 44 -1 "44"
c: 45 -1 "45"
c: 46 -1 "46"
c: 47 -1 "47"
c: 48 -1 "48"
c: 49 -1 "49"
c: 50 -1 "50"
c: 51 -1 "51"
c: 52 -1 "52"
c: 53 -1 "53"
c: 54 -1 "54"
c: 55 -1 "55"
c: 56 -1 "56"
c: 57 -1 "57"
c: 58 -1 "58"
c: 59 -1 "59"
c: 60 -1 "60"
c: 61 -1 "61"
c: 62 -1 "62"
c: 63 -1 "63"
c: 64 -1 "64"
c: 65 -1 "65"
c: 66 -1 "66"
c: 67 -1 "67"
c: 68 -1 "68"
c: 69 -1 "69"
c: 70 -1 "70"
c: 71 -1 "71"
c: 72 -1 "72"
c: 73 -1 "73"
c: 74 -1 "74"
c: 75 -1 "75"
c: 76 -1 "76"
c: 77 -1 "77"
c: 78 -1 "78"
c: 79 -1 "79"
c: 80 -1 "80"
c: 81 -1 "81"
c: 82 -1 "82"
c: 83 -1 "83"
c: 84 -1 "84"
c: 85 -1 "85"
c: 86 -1 "86"
c: 87 -1 "87"
c: 88 -1 "88"
c: 89 -1 "89"
c: 90 -1 "90"
c: 91 -1 "91"
c: 92 -1 "92"
c: 93 -1 "93"
c: 94 -1 "94"
c: 95 -1 "95"
c: 96 -1 "96"
c: 97 -1 "97"
c: 98 -1 "98"
c: 99 -1 "99"
I: HHWT 1 10 0 4331 20 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Household weight
s: Household weight
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 ""
c: 5 -1 ""
c: 10 -1 ""
I: HHTYPE 0 7 -1 7 24 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Household Type
s: Household Type
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Married-couple family household"
c: 2 -1 "Male householder, no wife present"
c: 3 -1 "Female householder, no husband present"
c: 4 -1 "Male householder, living alone"
c: 5 -1 "Male householder, not living alone"
c: 6 -1 "Female householder, living alone"
c: 7 -1 "Female householder, not living alone"
I: HHWTDET -1 -1 -1 27346 25 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxx..xxxx.x.x..........................................
l: Detailed household weight, based on low-level geography
s: Detailed household weight, based on low-level geography
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: DWSIZE -1 -1 -1 9999 31 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Dwelling size
s: Dwelling size
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: NUMHH 0 99 -1 99 35 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Number of households in dwelling
s: Number of households in dwelling
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 ""
c: 1 -1 ""
c: 2 -1 ""
c: 3 -1 ""
c: 4 -1 ""
c: 5 -1 ""
c: 6 -1 ""
c: 7 -1 ""
c: 8 -1 ""
c: 9 -1 ""
c: 10 -1 ""
c: 11 -1 ""
c: 12 -1 ""
c: 13 -1 ""
c: 14 -1 ""
c: 15 -1 ""
c: 16 -1 ""
c: 17 -1 ""
c: 18 -1 ""
c: 19 -1 ""
c: 20 -1 ""
c: 21 -1 ""
c: 22 -1 ""
c: 23 -1 ""
c: 24 -1 ""
c: 25 -1 ""
c: 26 -1 ""
c: 27 -1 ""
c: 28 -1 ""
c: 29 -1 ""
c: 30 -1 ""
c: 31 -1 ""
c: 32 -1 ""
c: 33 -1 ""
c: 34 -1 ""
c: 35 -1 ""
c: 36 -1 ""
c: 37 -1 ""
c: 38 -1 ""
c: 39 -1 ""
c: 40 -1 ""
c: 41 -1 ""
c: 42 -1 ""
c: 43 -1 ""
c: 44 -1 ""
c: 45 -1 ""
c: 46 -1 ""
c: 47 -1 ""
c: 48 -1 ""
c: 49 -1 ""
c: 50 -1 ""
c: 51 -1 ""
c: 52 -1 ""
c: 53 -1 ""
c: 54 -1 ""
c: 55 -1 ""
c: 56 -1 ""
c: 57 -1 ""
c: 58 -1 ""
c: 59 -1 ""
c: 60 -1 ""
c: 61 -1 ""
c: 62 -1 ""
c: 63 -1 ""
c: 64 -1 ""
c: 65 -1 ""
c: 66 -1 ""
c: 67 -1 ""
c: 68 -1 ""
c: 69 -1 ""
c: 70 -1 ""
c: 71 -1 ""
c: 72 -1 ""
c: 73 -1 ""
c: 74 -1 ""
c: 75 -1 ""
c: 76 -1 ""
c: 77 -1 ""
c: 78 -1 ""
c: 79 -1 ""
c: 80 -1 ""
c: 81 -1 ""
c: 82 -1 ""
c: 83 -1 ""
c: 84 -1 ""
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c: 86 -1 ""
c: 87 -1 ""
c: 88 -1 ""
c: 89 -1 ""
c: 90 -1 ""
c: 91 -1 ""
c: 92 -1 ""
c: 93 -1 ""
c: 94 -1 ""
c: 95 -1 ""
c: 96 -1 ""
c: 97 -1 ""
c: 98 -1 ""
c: 99 -1 ""
I: NUMHHTAK -1 -1 -1 9 37 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Number of households sampled from dwelling
s: Number of households sampled from dwelling
c: "." -1 -1 "Not Available for this Year and Data Set"
I: SLPERNUM -1 -1 -1 22 38 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx........................................
l: Sample-line person number
s: Sample-line person number
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: SELFWTHH 1 2 -1 2 40 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx........................................
l: Self-weighting sample identifier
s: Self-weighting sample identifier
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "No, household not in self-weighting sample"
c: 2 -1 "Yes, household in self-weighting sample"
I: REGION 11 99 -1 99 66 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Census region and division
s: Census region and division
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 11 -1 "New England Division"
c: 12 -1 "Middle Atlantic Division"
c: 13 -1 "Mixed Northeast Divisions (1970 Metro)"
c: 21 -1 "East North Central Div."
c: 22 -1 "West North Central Div."
c: 23 -1 "Mixed Midwest Divisions (1970 Metro)"
c: 31 -1 "South Atlantic Division"
c: 32 -1 "East South Central Div."
c: 33 -1 "West South Central Div."
c: 34 -1 "Mixed Southern Divisions (1970 Metro)"
c: 41 -1 "Mountain Division"
c: 42 -1 "Pacific Division"
c: 43 -1 "Mixed Western Divisions (1970 Metro)"
c: 91 -1 "Military/Military reservations"
c: 92 -1 "PUMA boundaries cross state lines-1% sample"
c: 97 -1 "State not identified"
c: 99 -1 "Not identified"
I: STATEICP 1 99 -1 99 68 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxx..xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxx
l: State (ICPSR code)
s: State (ICPSR code)
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Connecticut"
c: 2 -1 "Maine"
c: 3 -1 "Massachusetts"
c: 4 -1 "New Hampshire"
c: 5 -1 "Rhode Island"
c: 6 -1 "Vermont"
c: 11 -1 "Delaware"
c: 12 -1 "New Jersey"
c: 13 -1 "New York"
c: 14 -1 "Pennsylvania"
c: 21 -1 "Illinois"
c: 22 -1 "Indiana"
c: 23 -1 "Michigan"
c: 24 -1 "Ohio"
c: 25 -1 "Wisconsin"
c: 31 -1 "Iowa"
c: 32 -1 "Kansas"
c: 33 -1 "Minnesota"
c: 34 -1 "Missouri"
c: 35 -1 "Nebraska"
c: 36 -1 "North Dakota"
c: 37 -1 "South Dakota"
c: 40 -1 "Virginia"
c: 41 -1 "Alabama"
c: 42 -1 "Arkansas"
c: 43 -1 "Florida"
c: 44 -1 "Georgia"
c: 45 -1 "Louisiana"
c: 46 -1 "Mississippi"
c: 47 -1 "North Carolina"
c: 48 -1 "South Carolina"
c: 49 -1 "Texas"
c: 51 -1 "Kentucky"
c: 52 -1 "Maryland"
c: 53 -1 "Oklahoma"
c: 54 -1 "Tennessee"
c: 56 -1 "West Virginia"
c: 61 -1 "Arizona"
c: 62 -1 "Colorado"
c: 63 -1 "Idaho"
c: 64 -1 "Montana"
c: 65 -1 "Nevada"
c: 66 -1 "New Mexico"
c: 67 -1 "Utah"
c: 68 -1 "Wyoming"
c: 71 -1 "California"
c: 72 -1 "Oregon"
c: 73 -1 "Washington"
c: 81 -1 "Alaska"
c: 82 -1 "Hawaii"
c: 83 -1 "Puerto Rico"
c: 96 -1 "State groupings (1980 Urban/rural sample)"
c: 97 -1 "Military/Mil. Reservations"
c: 98 -1 "District of Columbia"
c: 99 -1 "State not identified"
I: STATEFIP 1 99 -1 99 70 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxx..xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxx
l: State (FIPS code)
s: State (FIPS code)
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Alabama"
c: 2 -1 "Alaska"
c: 4 -1 "Arizona"
c: 5 -1 "Arkansas"
c: 6 -1 "California"
c: 8 -1 "Colorado"
c: 9 -1 "Connecticut"
c: 10 -1 "Delaware"
c: 11 -1 "District of Columbia"
c: 12 -1 "Florida"
c: 13 -1 "Georgia"
c: 15 -1 "Hawaii"
c: 16 -1 "Idaho"
c: 17 -1 "Illinois"
c: 18 -1 "Indiana"
c: 19 -1 "Iowa"
c: 20 -1 "Kansas"
c: 21 -1 "Kentucky"
c: 22 -1 "Louisiana"
c: 23 -1 "Maine"
c: 24 -1 "Maryland"
c: 25 -1 "Massachusetts"
c: 26 -1 "Michigan"
c: 27 -1 "Minnesota"
c: 28 -1 "Mississippi"
c: 29 -1 "Missouri"
c: 30 -1 "Montana"
c: 31 -1 "Nebraska"
c: 32 -1 "Nevada"
c: 33 -1 "New Hampshire"
c: 34 -1 "New Jersey"
c: 35 -1 "New Mexico"
c: 36 -1 "New York"
c: 37 -1 "North Carolina"
c: 38 -1 "North Dakota"
c: 39 -1 "Ohio"
c: 40 -1 "Oklahoma"
c: 41 -1 "Oregon"
c: 42 -1 "Pennsylvania"
c: 44 -1 "Rhode Island"
c: 45 -1 "South Carolina"
c: 46 -1 "South Dakota"
c: 47 -1 "Tennessee"
c: 48 -1 "Texas"
c: 49 -1 "Utah"
c: 50 -1 "Vermont"
c: 51 -1 "Virginia"
c: 53 -1 "Washington"
c: 54 -1 "West Virginia"
c: 55 -1 "Wisconsin"
c: 56 -1 "Wyoming"
c: 61 -1 "Maine-New Hampshire-Vermont"
c: 62 -1 "Massachusetts-Rhode Island"
c: 63 -1 "Minnesota-Iowa-Missouri-Kansas-Nebraska-S.Dakota-N.Dakota"
c: 64 -1 "Maryland-Delaware"
c: 65 -1 "Montana-Idaho-Wyoming"
c: 66 -1 "Utah-Nevada"
c: 67 -1 "Arizona-New Mexico"
c: 68 -1 "Alaska-Hawaii"
c: 72 -1 "Puerto Rico"
c: 97 -1 "Military/Mil. Reservation"
c: 99 -1 "State not identified"
I: COUNTY -1 -1 -1 9999 72 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: County
s: County
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: URBAN 0 2 -1 2 76 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..xxx....x....x.x..xxxxx..................
l: Urban/rural status
s: Urban/rural status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Rural"
c: 2 -1 "Urban"
I: METRO 0 4 -1 4 77 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxx....x..xx...xx.x....xxxxxx.....x.x.x.
l: Metropolitan status
s: Metropolitan status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not identifiable"
c: 1 -1 "Not in metro area"
c: 2 -1 "In metro area, central city"
c: 3 -1 "In metro, area, outside central city"
c: 4 -1 "Central city status unknown"
I: METAREA 0 936 -1 936 78 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxx...xx...x.xx...xxxxxx.xxxxxxx...x.xxxxxx
l: Metropolitan area [general version]
s: Metropolitan area [general version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not identifiable or not in an MSA"
c: 4 -1 "Abilene, TX"
c: 6 -1 "Aguadilla, PR"
c: 8 -1 "Akron, OH"
c: 12 -1 "Albany, GA"
c: 16 -1 "Albany-Schenectady-Troy, NY"
c: 20 -1 "Albuquerque, NM"
c: 22 -1 "Alexandria, LA"
c: 24 -1 "Allentown-Bethlehem-Easton, PA/NJ"
c: 28 -1 "Altoona, PA"
c: 32 -1 "Amarillo, TX"
c: 38 -1 "Anchorage, AK"
c: 40 -1 "Anderson, IN"
c: 44 -1 "Ann Arbor, MI"
c: 45 -1 "Anniston, AL"
c: 46 -1 "Appleton-Oskosh-Neenah, WI"
c: 47 -1 "Arecibo, PR"
c: 48 -1 "Asheville, NC"
c: 50 -1 "Athens, GA"
c: 52 -1 "Atlanta, GA"
c: 56 -1 "Atlantic City, NJ"
c: 58 -1 "Auburn-Opekika, AL"
c: 60 -1 "Augusta-Aiken, GA-SC"
c: 64 -1 "Austin, TX"
c: 68 -1 "Bakersfield, CA"
c: 72 -1 "Baltimore, MD"
c: 73 -1 "Bangor, ME"
c: 74 -1 "Barnstable-Yarmouth, MA"
c: 76 -1 "Baton Rouge, LA"
c: 78 -1 "Battle Creek, MI"
c: 84 -1 "Beaumont-Port Arthur-Orange,TX"
c: 86 -1 "Bellingham, WA"
c: 87 -1 "Benton Harbor, MI"
c: 88 -1 "Billings, MT"
c: 92 -1 "Biloxi-Gulfport, MS"
c: 96 -1 "Binghamton, NY"
c: 100 -1 "Birmingham, AL"
c: 102 -1 "Bloomington, IN"
c: 104 -1 "Bloomington-Normal, IL"
c: 108 -1 "Boise City, ID"
c: 112 -1 "Boston, MA-NH"
c: 114 -1 "Bradenton, FL"
c: 115 -1 "Bremerton, WA"
c: 116 -1 "Bridgeport, CT"
c: 120 -1 "Brockton, MA"
c: 124 -1 "Brownsville-Harlingen-San Benito, TX"
c: 126 -1 "Bryan-College Station, TX"
c: 128 -1 "Buffalo-Niagara Falls, NY"
c: 130 -1 "Burlington, NC"
c: 131 -1 "Burlington, VT"
c: 132 -1 "Canton, OH"
c: 133 -1 "Caguas, PR"
c: 135 -1 "Casper, WY"
c: 136 -1 "Cedar Rapids, IA"
c: 140 -1 "Champaign-Urbana-Rantoul, IL"
c: 144 -1 "Charleston-N.Charleston,SC"
c: 148 -1 "Charleston, WV"
c: 152 -1 "Charlotte-Gastonia-Rock Hill, NC-SC"
c: 154 -1 "Charlottesville, VA"
c: 156 -1 "Chattanooga, TN/GA"
c: 158 -1 "Cheyenne, WY"
c: 160 -1 "Chicago, IL"
c: 162 -1 "Chico, CA"
c: 164 -1 "Cincinnati-Hamilton, OH/KY/IN"
c: 166 -1 "Clarksville- Hopkinsville, TN/KY"
c: 168 -1 "Cleveland, OH"
c: 172 -1 "Colorado Springs, CO"
c: 174 -1 "Columbia, MO"
c: 176 -1 "Columbia, SC"
c: 180 -1 "Columbus, GA/AL"
c: 184 -1 "Columbus, OH"
c: 188 -1 "Corpus Christi, TX"
c: 190 -1 "Cumberland, MD/WV"
c: 192 -1 "Dallas-Fort Worth, TX"
c: 193 -1 "Danbury, CT"
c: 195 -1 "Danville, VA"
c: 196 -1 "Davenport, IA-Rock Island -Moline, IL"
c: 200 -1 "Dayton-Springfield, OH"
c: 202 -1 "Daytona Beach, FL"
c: 203 -1 "Decatur, AL"
c: 204 -1 "Decatur, IL"
c: 208 -1 "Denver-Boulder, CO"
c: 212 -1 "Des Moines, IA"
c: 216 -1 "Detroit, MI"
c: 218 -1 "Dothan, AL"
c: 219 -1 "Dover, DE"
c: 220 -1 "Dubuque, IA"
c: 224 -1 "Duluth-Superior, MN/WI"
c: 228 -1 "Dutchess Co., NY"
c: 229 -1 "Eau Claire, WI"
c: 231 -1 "El Paso, TX"
c: 232 -1 "Elkhart-Goshen, IN"
c: 233 -1 "Elmira, NY"
c: 234 -1 "Enid, OK"
c: 236 -1 "Erie, PA"
c: 240 -1 "Eugene-Springfield, OR"
c: 244 -1 "Evansville, IN/KY"
c: 252 -1 "Fargo-Morehead, ND/MN"
c: 256 -1 "Fayetteville, NC"
c: 258 -1 "Fayetteville-Springdale, AR"
c: 260 -1 "Fitchburg-Leominster, MA"
c: 262 -1 "Flagstaff, AZ-UT"
c: 264 -1 "Flint, MI"
c: 265 -1 "Florence, AL"
c: 266 -1 "Florence, SC"
c: 267 -1 "Fort Collins-Loveland, CO"
c: 268 -1 "Fort Lauderdale-Hollywood-Pompano Beach, FL"
c: 270 -1 "Fort Myers-Cape Coral, FL"
c: 271 -1 "Fort Pierce, FL"
c: 272 -1 "Fort Smith, AR/OK"
c: 275 -1 "Fort Walton Beach, FL"
c: 276 -1 "Fort Wayne, IN"
c: 284 -1 "Fresno, CA"
c: 288 -1 "Gadsden, AL"
c: 290 -1 "Gainesville, FL"
c: 292 -1 "Galveston-Texas City, TX"
c: 297 -1 "Glens Falls, NY"
c: 298 -1 "Goldsboro, NC"
c: 299 -1 "Grand Forks, ND"
c: 300 -1 "Grand Rapids, MI"
c: 301 -1 "Grand Junction, CO"
c: 304 -1 "Great Falls, MT"
c: 306 -1 "Greeley, CO"
c: 308 -1 "Green Bay, WI"
c: 312 -1 "Greensboro-Winston Salem-High Point, NC"
c: 315 -1 "Greenville, NC"
c: 316 -1 "Greenville-Spartanburg-Anderson SC"
c: 318 -1 "Hagerstown, MD"
c: 320 -1 "Hamilton-Middleton, OH"
c: 324 -1 "Harrisburg-Lebanon--Carlisle, PA"
c: 328 -1 "Hartford-Bristol-Middleton- New Britain, CT"
c: 329 -1 "Hickory-Morgantown, NC"
c: 330 -1 "Hattiesburg, MS"
c: 332 -1 "Honolulu, HI"
c: 335 -1 "Houma-Thibodoux, LA"
c: 336 -1 "Houston-Brazoria, TX"
c: 340 -1 "Huntington-Ashland, WV/KY/OH"
c: 344 -1 "Huntsville, AL"
c: 348 -1 "Indianapolis, IN"
c: 350 -1 "Iowa City, IA"
c: 352 -1 "Jackson, MI"
c: 356 -1 "Jackson, MS"
c: 358 -1 "Jackson, TN"
c: 359 -1 "Jacksonville, FL"
c: 360 -1 "Jacksonville, NC"
c: 361 -1 "Jamestown-Dunkirk, NY"
c: 362 -1 "Janesville-Beloit, WI"
c: 366 -1 "Johnson City-Kingsport--Bristol, TN/VA"
c: 368 -1 "Johnstown, PA"
c: 371 -1 "Joplin, MO"
c: 372 -1 "Kalamazoo-Portage, MI"
c: 374 -1 "Kankakee, IL"
c: 376 -1 "Kansas City, MO-KS"
c: 380 -1 "Kenosha, WI"
c: 381 -1 "Kileen-Temple, TX"
c: 384 -1 "Knoxville, TN"
c: 385 -1 "Kokomo, IN"
c: 387 -1 "LaCrosse, WI"
c: 388 -1 "Lafayette, LA"
c: 392 -1 "Lafayette-W. Lafayette, IN"
c: 396 -1 "Lake Charles, LA"
c: 398 -1 "Lakeland-Winterhaven, FL"
c: 400 -1 "Lancaster, PA"
c: 404 -1 "Lansing-E. Lansing, MI"
c: 408 -1 "Laredo, TX"
c: 410 -1 "Las Cruces, NM"
c: 412 -1 "Las Vegas, NV"
c: 415 -1 "Lawrence, KS"
c: 420 -1 "Lawton, OK"
c: 424 -1 "Lewiston-Auburn, ME"
c: 428 -1 "Lexington-Fayette, KY"
c: 432 -1 "Lima, OH"
c: 436 -1 "Lincoln, NE"
c: 440 -1 "Little Rock--North Little Rock, AR"
c: 441 -1 "Long Branch-Asbury Park,NJ"
c: 442 -1 "Longview-Marshall, TX"
c: 444 -1 "Lorain-Elyria, OH"
c: 448 -1 "Los Angeles-Long Beach, CA"
c: 452 -1 "Louisville, KY/IN"
c: 460 -1 "Lubbock, TX"
c: 464 -1 "Lynchburg, VA"
c: 468 -1 "Macon-Warner Robins, GA"
c: 472 -1 "Madison, WI"
c: 476 -1 "Manchester, NH"
c: 480 -1 "Mansfield, OH"
c: 484 -1 "Mayaguez, PR"
c: 488 -1 "McAllen-Edinburg-Pharr-Mission, TX"
c: 489 -1 "Medford, OR"
c: 490 -1 "Melbourne-Titusville-Cocoa-Palm Bay, FL"
c: 492 -1 "Memphis, TN/AR/MS"
c: 494 -1 "Merced, CA"
c: 500 -1 "Miami-Hialeah, FL"
c: 504 -1 "Midland, TX"
c: 508 -1 "Milwaukee, WI"
c: 512 -1 "Minneapolis-St. Paul, MN"
c: 514 -1 "Missoula, MT"
c: 516 -1 "Mobile, AL"
c: 517 -1 "Modesto, CA"
c: 519 -1 "Monmouth-Ocean, NJ"
c: 520 -1 "Monroe, LA"
c: 524 -1 "Montgomery, AL"
c: 528 -1 "Muncie, IN"
c: 532 -1 "Muskegon-Norton Shores-Muskegon Heights, MI"
c: 533 -1 "Myrtle Beach, SC"
c: 534 -1 "Naples, FL"
c: 535 -1 "Nashua, NH"
c: 536 -1 "Nashville, TN"
c: 540 -1 "New Bedford, MA"
c: 546 -1 "New Brunswick-Perth Amboy-Sayreville, NJ"
c: 548 -1 "New Haven-Meriden, CT"
c: 552 -1 "New London-Norwich, CT/RI"
c: 556 -1 "New Orleans, LA"
c: 560 -1 "New York-Northeastern NJ"
c: 564 -1 "Newark, OH"
c: 566 -1 "Newburgh-Middletown, NY"
c: 572 -1 "Norfolk-VA Beach--Newport News, VA"
c: 576 -1 "Norwalk, CT"
c: 579 -1 "Ocala, FL"
c: 580 -1 "Odessa, TX"
c: 588 -1 "Oklahoma City, OK"
c: 591 -1 "Olympia, WA"
c: 592 -1 "Omaha, NE/IA"
c: 595 -1 "Orange, NY"
c: 596 -1 "Orlando, FL"
c: 599 -1 "Owensboro, KY"
c: 601 -1 "Panama City, FL"
c: 602 -1 "Parkersburg-Marietta,WV/OH"
c: 603 -1 "Pascagoula-Moss Point, MS"
c: 608 -1 "Pensacola, FL"
c: 612 -1 "Peoria, IL"
c: 616 -1 "Philadelphia, PA/NJ"
c: 620 -1 "Phoenix, AZ"
c: 628 -1 "Pittsburgh, PA"
c: 632 -1 "Pittsfield, MA"
c: 636 -1 "Ponse, PR"
c: 640 -1 "Portland, ME"
c: 644 -1 "Portland, OR-WA"
c: 645 -1 "Portsmouth-Dover--Rochester, NH/ME"
c: 646 -1 "Poughkeepsie, NY"
c: 648 -1 "Providence-Fall River-Pawtucket, MA/RI"
c: 652 -1 "Provo-Orem, UT"
c: 656 -1 "Pueblo, CO"
c: 658 -1 "Punta Gorda, FL"
c: 660 -1 "Racine, WI"
c: 664 -1 "Raleigh-Durham, NC"
c: 666 -1 "Rapid City, SD"
c: 668 -1 "Reading, PA"
c: 669 -1 "Redding, CA"
c: 672 -1 "Reno, NV"
c: 674 -1 "Richland-Kennewick-Pasco, WA"
c: 676 -1 "Richmond-Petersburg, VA"
c: 678 -1 "Riverside-San Bernadino, CA"
c: 680 -1 "Roanoke, VA"
c: 682 -1 "Rochester, MN"
c: 684 -1 "Rochester, NY"
c: 688 -1 "Rockford, IL"
c: 689 -1 "Rocky Mount, NC"
c: 692 -1 "Sacramento, CA"
c: 696 -1 "Saginaw-Bay City-Midland, MI"
c: 698 -1 "St. Cloud, MN"
c: 700 -1 "St. Joseph, MO"
c: 704 -1 "St. Louis, MO-IL"
c: 708 -1 "Salem, OR"
c: 712 -1 "Salinas-Sea Side-Monterey, CA"
c: 714 -1 "Salisbury-Concord, NC"
c: 716 -1 "Salt Lake City-Ogden, UT"
c: 720 -1 "San Angelo, TX"
c: 724 -1 "San Antonio, TX"
c: 732 -1 "San Diego, CA"
c: 736 -1 "San Francisco-Oakland-Vallejo, CA"
c: 740 -1 "San Jose, CA"
c: 744 -1 "San Juan-Bayamon, PR"
c: 746 -1 "San Luis Obispo-Atascad-P Robles, CA"
c: 747 -1 "Santa Barbara-Santa Maria-Lompoc, CA"
c: 748 -1 "Santa Cruz, CA"
c: 749 -1 "Santa Fe, NM"
c: 750 -1 "Santa Rosa-Petaluma, CA"
c: 751 -1 "Sarasota, FL"
c: 752 -1 "Savannah, GA"
c: 756 -1 "Scranton-Wilkes-Barre, PA"
c: 760 -1 "Seattle-Everett, WA"
c: 761 -1 "Sharon, PA"
c: 762 -1 "Sheboygan, WI"
c: 764 -1 "Sherman-Davidson, TX"
c: 768 -1 "Shreveport, LA"
c: 772 -1 "Sioux City, IA/NE"
c: 776 -1 "Sioux Falls, SD"
c: 780 -1 "South Bend-Mishawaka, IN"
c: 784 -1 "Spokane, WA"
c: 788 -1 "Springfield, IL"
c: 792 -1 "Springfield, MO"
c: 800 -1 "Springfield-Holyoke-Chicopee, MA"
c: 804 -1 "Stamford, CT"
c: 805 -1 "State College, PA"
c: 808 -1 "Steubenville-Weirton,OH/WV"
c: 812 -1 "Stockton, CA"
c: 814 -1 "Sumter, SC"
c: 816 -1 "Syracuse, NY"
c: 820 -1 "Tacoma, WA"
c: 824 -1 "Tallahassee, FL"
c: 828 -1 "Tampa-St. Petersburg-Clearwater, FL"
c: 832 -1 "Terre Haute, IN"
c: 836 -1 "Texarkana, TX/AR"
c: 840 -1 "Toledo, OH/MI"
c: 844 -1 "Topeka, KS"
c: 848 -1 "Trenton, NJ"
c: 852 -1 "Tucson, AZ"
c: 856 -1 "Tulsa, OK"
c: 860 -1 "Tuscaloosa, AL"
c: 864 -1 "Tyler, TX"
c: 868 -1 "Utica-Rome, NY"
c: 873 -1 "Ventura-Oxnard-Simi Valley, CA"
c: 875 -1 "Victoria, TX"
c: 876 -1 "Vineland-Milville-Bridgetown, NJ"
c: 878 -1 "Visalia-Tulare-Porterville, CA"
c: 880 -1 "Waco, TX"
c: 884 -1 "Washington, DC/MD/VA"
c: 888 -1 "Waterbury, CT"
c: 892 -1 "Waterloo-Cedar Falls, IA"
c: 894 -1 "Wausau, WI"
c: 896 -1 "West Palm Beach-Boca Raton-Delray Beach, FL"
c: 900 -1 "Wheeling, WV/OH"
c: 904 -1 "Wichita, KS"
c: 908 -1 "Wichita Falls, TX"
c: 914 -1 "Williamsport, PA"
c: 916 -1 "Wilmington, DE/NJ/MD"
c: 920 -1 "Wilmington, NC"
c: 924 -1 "Worcester, MA"
c: 926 -1 "Yakima, WA"
c: 927 -1 "Yolo, CA"
c: 928 -1 "York, PA"
c: 932 -1 "Youngstown-Warren, OH-PA"
c: 934 -1 "Yuba City, CA"
c: 936 -1 "Yuma, AZ"
I: METAREAD 0 9360 -1 9360 81 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxx...xx...x.xx...xxxxxx.xxxxxxx...x.xxxxxx
l: Metropolitan area [detailed version]
s: Metropolitan area [detailed version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not identifiable or not in an MSA"
c: 40 -1 "Abilene, TX"
c: 60 -1 "Aguadilla, PR"
c: 80 -1 "Akron, OH"
c: 120 -1 "Albany, GA"
c: 160 -1 "Albany-Schenectady-Troy, NY"
c: 200 -1 "Albuquerque, NM"
c: 220 -1 "Alexandria, LA"
c: 240 -1 "Allentown-Bethlehem-Easton, PA/NJ"
c: 280 -1 "Altoona, PA"
c: 320 -1 "Amarillo, TX"
c: 380 -1 "Anchorage, AK"
c: 400 -1 "Anderson, IN"
c: 440 -1 "Ann Arbor, MI"
c: 450 -1 "Anniston, AL"
c: 460 -1 "Appleton-Oskosh-Neenah, WI"
c: 470 -1 "Arecibo, PR"
c: 480 -1 "Asheville, NC"
c: 500 -1 "Athens, GA"
c: 520 -1 "Atlanta, GA"
c: 560 -1 "Atlantic City, NJ"
c: 580 -1 "Auburn-Opelika, AL"
c: 600 -1 "Augusta-Aiken, GA-SC"
c: 640 -1 "Austin, TX"
c: 680 -1 "Bakersfield, CA"
c: 720 -1 "Baltimore, MD"
c: 730 -1 "Bangor, ME"
c: 740 -1 "Barnstable-Yarmouth, MA"
c: 760 -1 "Baton Rouge, LA"
c: 780 -1 "Battle Creek, MI"
c: 840 -1 "Beaumont-Port Arthur-Orange,TX"
c: 860 -1 "Bellingham, WA"
c: 870 -1 "Benton Harbor, MI"
c: 880 -1 "Billings, MT"
c: 920 -1 "Biloxi-Gulfport, MS"
c: 960 -1 "Binghamton, NY"
c: 1000 -1 "Birmingham, AL"
c: 1010 -1 "Bismarck,ND"
c: 1020 -1 "Bloomington, IN"
c: 1040 -1 "Bloomington-Normal, IL"
c: 1080 -1 "Boise City, ID"
c: 1120 -1 "Boston, MA"
c: 1121 -1 "Lawrence-Haverhill, MA/NH"
c: 1122 -1 "Lowell, MA/NH"
c: 1123 -1 "Salem-Gloucester, MA"
c: 1140 -1 "Bradenton, FL"
c: 1150 -1 "Bremerton, WA"
c: 1160 -1 "Bridgeport, CT"
c: 1200 -1 "Brockton, MA"
c: 1240 -1 "Brownsville-Harlingen-San Benito, TX"
c: 1260 -1 "Bryan-College Station, TX"
c: 1280 -1 "Buffalo-Niagara Falls, NY"
c: 1281 -1 "Niagara Falls, NY"
c: 1300 -1 "Burlington, NC"
c: 1310 -1 "Burlington, VT"
c: 1320 -1 "Canton, OH"
c: 1330 -1 "Caguas, PR"
c: 1350 -1 "Casper, WY"
c: 1360 -1 "Cedar Rapids, IA"
c: 1400 -1 "Champaign-Urbana-Rantoul, IL"
c: 1440 -1 "Charleston-N.Charleston,SC"
c: 1480 -1 "Charleston, WV"
c: 1520 -1 "Charlotte-Gastonia-Rock Hill, SC"
c: 1521 -1 "Rock Hill, SC"
c: 1540 -1 "Charlottesville, VA"
c: 1560 -1 "Chattanooga, TN/GA"
c: 1580 -1 "Cheyenne, WY"
c: 1600 -1 "Chicago-Gary-Lake, IL"
c: 1601 -1 "Aurora-Elgin, IL"
c: 1602 -1 "Gary-Hammond-East Chicago, IN"
c: 1603 -1 "Joliet IL"
c: 1604 -1 "Lake County, IL"
c: 1620 -1 "Chico, CA"
c: 1640 -1 "Cincinnati OH/KY/IN"
c: 1660 -1 "Clarksville-Hopkinsville, TN/KY"
c: 1680 -1 "Cleveland, OH"
c: 1720 -1 "Colorado Springs, CO"
c: 1740 -1 "Columbia, MO"
c: 1760 -1 "Columbia, SC"
c: 1800 -1 "Columbus, GA/AL"
c: 1840 -1 "Columbus, OH"
c: 1880 -1 "Corpus Christi, TX"
c: 1900 -1 "Cumberland, MD/WV"
c: 1920 -1 "Dallas-Fort Worth, TX"
c: 1921 -1 "Fort Worth-Arlington, TX"
c: 1930 -1 "Danbury, CT"
c: 1950 -1 "Danville, VA"
c: 1960 -1 "Davenport, IA Rock Island-Moline, IL"
c: 2000 -1 "Dayton-Springfield, OH"
c: 2001 -1 "Springfield, OH"
c: 2020 -1 "Daytona Beach, FL"
c: 2030 -1 "Decatur, AL"
c: 2040 -1 "Decatur, IL"
c: 2080 -1 "Denver-Boulder-Longmont, CO"
c: 2081 -1 "Boulder-Longmont, CO"
c: 2120 -1 "Des Moines, IA"
c: 2121 -1 "Polk, IA"
c: 2160 -1 "Detroit, MI"
c: 2180 -1 "Dothan, AL"
c: 2190 -1 "Dover, DE"
c: 2200 -1 "Dubuque, IA"
c: 2240 -1 "Duluth-Superior, MN/WI"
c: 2281 -1 "Dutchess Co., NY"
c: 2290 -1 "Eau Claire, WI"
c: 2310 -1 "El Paso, TX"
c: 2320 -1 "Elkhart-Goshen, IN"
c: 2330 -1 "Elmira, NY"
c: 2340 -1 "Enid, OK"
c: 2360 -1 "Erie, PA"
c: 2400 -1 "Eugene-Springfield, OR"
c: 2440 -1 "Evansville, IN/KY"
c: 2520 -1 "Fargo-Morehead, ND/MN"
c: 2560 -1 "Fayetteville, NC"
c: 2580 -1 "Fayetteville-Springdale, AR"
c: 2600 -1 "Fitchburg-Leominster, MA"
c: 2620 -1 "Flagstaff, AZ-UT"
c: 2640 -1 "Flint, MI"
c: 2650 -1 "Florence, AL"
c: 2660 -1 "Florence, SC"
c: 2670 -1 "Fort Collins-Loveland, CO"
c: 2680 -1 "Fort Lauderdale-Hollywood-Pompano Beach, FL"
c: 2700 -1 "Fort Myers-Cape Coral, FL"
c: 2710 -1 "Fort Pierce, FL"
c: 2720 -1 "Fort Smith, AR/OK"
c: 2750 -1 "Fort Walton Beach, FL"
c: 2760 -1 "Fort Wayne, IN"
c: 2840 -1 "Fresno, CA"
c: 2880 -1 "Gadsden, AL"
c: 2900 -1 "Gainesville, FL"
c: 2920 -1 "Galveston-Texas City, TX"
c: 2970 -1 "Glens Falls, NY"
c: 2980 -1 "Goldsboro, NC"
c: 2990 -1 "Grand Forks, ND/MN"
c: 3000 -1 "Grand Rapids, MI"
c: 3010 -1 "Grand Junction, CO"
c: 3040 -1 "Great Falls, MT"
c: 3060 -1 "Greeley, CO"
c: 3080 -1 "Green Bay, WI"
c: 3120 -1 "Greensboro-Winston Salem-High Point, NC"
c: 3121 -1 "Winston-Salem, NC"
c: 3150 -1 "Greenville, NC"
c: 3160 -1 "Greenville-Spartanburg-Anderson SC"
c: 3161 -1 "Anderson, SC"
c: 3180 -1 "Hagerstown, MD"
c: 3200 -1 "Hamilton-Middleton, OH"
c: 3240 -1 "Harrisburg-Lebanon-Carlisle, PA"
c: 3280 -1 "Hartford-Bristol-Middleton-New Britain, CT"
c: 3281 -1 "Bristol, CT"
c: 3282 -1 "Middletown, CT"
c: 3283 -1 "New Britain, CT"
c: 3290 -1 "Hickory-Morgantown, NC"
c: 3300 -1 "Hattiesburg, MS"
c: 3320 -1 "Honolulu, HI"
c: 3350 -1 "Houma-Thibodoux, LA"
c: 3360 -1 "Houston-Brazoria, TX"
c: 3361 -1 "Brazoria, TX"
c: 3400 -1 "Huntington-Ashland, WV/KY/OH"
c: 3440 -1 "Huntsville, AL"
c: 3480 -1 "Indianapolis, IN"
c: 3500 -1 "Iowa City, IA"
c: 3520 -1 "Jackson, MI"
c: 3560 -1 "Jackson, MS"
c: 3580 -1 "Jackson, TN"
c: 3590 -1 "Jacksonville, FL"
c: 3600 -1 "Jacksonville, NC"
c: 3610 -1 "Jamestown-Dunkirk, NY"
c: 3620 -1 "Janesville-Beloit, WI"
c: 3660 -1 "Johnson City-Kingsport-Bristol, TN/VA"
c: 3680 -1 "Johnstown, PA"
c: 3710 -1 "Joplin, MO"
c: 3720 -1 "Kalamazoo-Portage, MI"
c: 3740 -1 "Kankakee, IL"
c: 3760 -1 "Kansas City, MO-KS"
c: 3800 -1 "Kenosha, WI"
c: 3810 -1 "Kileen-Temple, TX"
c: 3840 -1 "Knoxville, TN"
c: 3850 -1 "Kokomo, IN"
c: 3870 -1 "LaCrosse, WI"
c: 3880 -1 "Lafayette, LA"
c: 3920 -1 "Lafayette-W. Lafayette, IN"
c: 3960 -1 "Lake Charles, LA"
c: 3980 -1 "Lakeland-Winterhaven, FL"
c: 4000 -1 "Lancaster, PA"
c: 4040 -1 "Lansing-E. Lansing, MI"
c: 4080 -1 "Laredo, TX"
c: 4100 -1 "Las Cruces, NM"
c: 4120 -1 "Las Vegas, NV"
c: 4150 -1 "Lawrence, KS"
c: 4200 -1 "Lawton, OK"
c: 4240 -1 "Lewiston-Auburn, ME"
c: 4280 -1 "Lexington-Fayette, KY"
c: 4320 -1 "Lima, OH"
c: 4360 -1 "Lincoln, NE"
c: 4400 -1 "Little Rock-North Little Rock, AR"
c: 4410 -1 "Long Branch-Asbury Park,NJ"
c: 4420 -1 "Longview-Marshall, TX"
c: 4440 -1 "Lorain-Elyria, OH"
c: 4480 -1 "Los Angeles-Long Beach, CA"
c: 4481 -1 "Anaheim-Santa Ana-Garden Grove, CA"
c: 4482 -1 "Orange County, CA"
c: 4520 -1 "Louisville, KY/IN"
c: 4600 -1 "Lubbock, TX"
c: 4640 -1 "Lynchburg, VA"
c: 4680 -1 "Macon-Warner Robins, GA"
c: 4720 -1 "Madison, WI"
c: 4760 -1 "Manchester, NH"
c: 4800 -1 "Mansfield, OH"
c: 4840 -1 "Mayaguez, PR"
c: 4880 -1 "McAllen-Edinburg-Pharr-Mission, TX"
c: 4890 -1 "Medford, OR"
c: 4900 -1 "Melbourne-Titusville-Cocoa-Palm Bay, FL"
c: 4920 -1 "Memphis, TN/AR/MS"
c: 4940 -1 "Merced, CA"
c: 5000 -1 "Miami-Hialeah, FL"
c: 5040 -1 "Midland, TX"
c: 5080 -1 "Milwaukee, WI"
c: 5120 -1 "Minneapolis-St. Paul, MN"
c: 5140 -1 "Missoula, MT"
c: 5160 -1 "Mobile, AL"
c: 5170 -1 "Modesto, CA"
c: 5190 -1 "Monmouth-Ocean, NJ"
c: 5200 -1 "Monroe, LA"
c: 5240 -1 "Montgomery, AL"
c: 5280 -1 "Muncie, IN"
c: 5320 -1 "Muskegon-Norton Shores-Muskegon Heights, MI"
c: 5330 -1 "Myrtle Beach, SC"
c: 5340 -1 "Naples, FL"
c: 5350 -1 "Nashua, NH"
c: 5360 -1 "Nashville, TN"
c: 5400 -1 "New Bedford, MA"
c: 5460 -1 "New Brunswick-Perth Amboy-Sayreville, NJ"
c: 5480 -1 "New Haven-Meriden, CT"
c: 5481 -1 "Meriden"
c: 5482 -1 "New Haven, CT"
c: 5520 -1 "New London-Norwich, CT/RI"
c: 5560 -1 "New Orleans, LA"
c: 5600 -1 "New York-Northeastern NJ"
c: 5601 -1 "Nassau Co, NY"
c: 5602 -1 "Bergen-Passaic, NJ"
c: 5603 -1 "Jersey City, NJ"
c: 5604 -1 "Middlesex-Somerset-Hunterdon, NJ"
c: 5605 -1 "Newark, NJ"
c: 5640 -1 "Newark, OH"
c: 5660 -1 "Newburgh-Middletown, NY"
c: 5720 -1 "Norfolk-VA Beach-Newport News, VA"
c: 5721 -1 "Newport News-Hampton"
c: 5722 -1 "Norfolk- VA Beach-Portsmouth"
c: 5760 -1 "Norwalk, CT"
c: 5790 -1 "Ocala, FL"
c: 5800 -1 "Odessa, TX"
c: 5880 -1 "Oklahoma City, OK"
c: 5910 -1 "Olympia, WA"
c: 5920 -1 "Omaha, NE/IA"
c: 5950 -1 "Orange, NY"
c: 5960 -1 "Orlando, FL"
c: 5990 -1 "Owensboro, KY"
c: 6010 -1 "Panama City, FL"
c: 6020 -1 "Parkersburg-Marietta,WV/OH"
c: 6030 -1 "Pascagoula-Moss Point, MS"
c: 6080 -1 "Pensacola, FL"
c: 6120 -1 "Peoria, IL"
c: 6160 -1 "Philadelphia, PA/NJ"
c: 6200 -1 "Phoenix, AZ"
c: 6240 -1 "Pine Bluff, AR"
c: 6280 -1 "Pittsburgh-Beaver Valley, PA"
c: 6281 -1 "Beaver County, PA"
c: 6320 -1 "Pittsfield, MA"
c: 6360 -1 "Ponce, PR"
c: 6400 -1 "Portland, ME"
c: 6440 -1 "Portland-Vancouver, OR"
c: 6441 -1 "Vancouver, WA"
c: 6450 -1 "Portsmouth-Dover-Rochester, NH/ME"
c: 6460 -1 "Poughkeepsie, NY"
c: 6480 -1 "Providence-Fall River-Pawtucket, MA/RI"
c: 6481 -1 "Fall River, MA/RI"
c: 6482 -1 "Pawtuckett-Woonsocket-Attleboro, RI/MA"
c: 6520 -1 "Provo-Orem, UT"
c: 6560 -1 "Pueblo, CO"
c: 6580 -1 "Punta Gorda, FL"
c: 6600 -1 "Racine, WI"
c: 6640 -1 "Raleigh-Durham, NC"
c: 6641 -1 "Durham, NC"
c: 6660 -1 "Rapid City, SD"
c: 6680 -1 "Reading, PA"
c: 6690 -1 "Redding, CA"
c: 6720 -1 "Reno, NV"
c: 6740 -1 "Richland-Kennewick-Pasco, WA"
c: 6760 -1 "Richmond-Petersburg, VA"
c: 6761 -1 "Petersburg-Colonial Heights, VA"
c: 6780 -1 "Riverside-San Bernadino, CA"
c: 6781 -1 "San Bernadino, CA"
c: 6800 -1 "Roanoke, VA"
c: 6820 -1 "Rochester, MN"
c: 6840 -1 "Rochester, NY"
c: 6880 -1 "Rockford, IL"
c: 6895 -1 "Rocky Mount, NC"
c: 6920 -1 "Sacramento, CA"
c: 6960 -1 "Saginaw-Bay City-Midland, MI"
c: 6961 -1 "Bay City, MI"
c: 6980 -1 "St. Cloud, MN"
c: 7000 -1 "St. Joseph, MO"
c: 7040 -1 "St. Louis, MO-IL"
c: 7080 -1 "Salem, OR"
c: 7120 -1 "Salinas-Sea Side-Monterey, CA"
c: 7140 -1 "Salisbury-Concord, NC"
c: 7160 -1 "Salt Lake City-Ogden, UT"
c: 7161 -1 "Ogden"
c: 7200 -1 "San Angelo, TX"
c: 7240 -1 "San Antonio, TX"
c: 7320 -1 "San Diego, CA"
c: 7360 -1 "San Francisco-Oakland-Vallejo, CA"
c: 7361 -1 "Oakland, CA"
c: 7362 -1 "Vallejo-Fairfield-Napa, CA"
c: 7400 -1 "San Jose, CA"
c: 7440 -1 "San Juan-Bayamon, PR"
c: 7460 -1 "San Luis Obispo-Atascad-P Robles, CA"
c: 7470 -1 "Santa Barbara-Santa Maria-Lompoc, CA"
c: 7480 -1 "Santa Cruz, CA"
c: 7490 -1 "Santa Fe, NM"
c: 7500 -1 "Santa Rosa-Petaluma, CA"
c: 7510 -1 "Sarasota, FL"
c: 7520 -1 "Savannah, GA"
c: 7560 -1 "Scranton-Wilkes-Barre, PA"
c: 7561 -1 "Wilkes-Barre-Hazelton, PA"
c: 7600 -1 "Seattle-Everett, WA"
c: 7610 -1 "Sharon, PA"
c: 7620 -1 "Sheboygan, WI"
c: 7640 -1 "Sherman-Denison, TX"
c: 7680 -1 "Shreveport, LA"
c: 7720 -1 "Sioux City, IA/NE"
c: 7760 -1 "Sioux Falls, SD"
c: 7800 -1 "South Bend-Mishawaka, IN"
c: 7840 -1 "Spokane, WA"
c: 7880 -1 "Springfield, IL"
c: 7920 -1 "Springfield, MO"
c: 8000 -1 "Springfield-Holyoke-Chicopee, MA"
c: 8040 -1 "Stamford, CT"
c: 8050 -1 "State College, PA"
c: 8080 -1 "Steubenville-Weirton,OH/WV"
c: 8120 -1 "Stockton, CA"
c: 8140 -1 "Sumter, SC"
c: 8160 -1 "Syracuse, NY"
c: 8200 -1 "Tacoma, WA"
c: 8240 -1 "Tallahassee, FL"
c: 8280 -1 "Tampa-St. Petersburg-Clearwater, FL"
c: 8320 -1 "Terre Haute, IN"
c: 8360 -1 "Texarkana, TX/AR"
c: 8400 -1 "Toledo, OH/MI"
c: 8440 -1 "Topeka, KS"
c: 8480 -1 "Trenton, NJ"
c: 8520 -1 "Tucson, AZ"
c: 8560 -1 "Tulsa, OK"
c: 8600 -1 "Tuscaloosa, AL"
c: 8640 -1 "Tyler, TX"
c: 8680 -1 "Utica-Rome, NY"
c: 8730 -1 "Ventura-Oxnard-Simi Valley, CA"
c: 8750 -1 "Victoria, TX"
c: 8760 -1 "Vineland-Milville-Bridgetown, NJ"
c: 8780 -1 "Visalia-Tulare-Porterville, CA"
c: 8800 -1 "Waco, TX"
c: 8840 -1 "Washington, DC/MD/VA"
c: 8880 -1 "Waterbury, CT"
c: 8920 -1 "Waterloo-Cedar Falls, IA"
c: 8940 -1 "Wausau, WI"
c: 8960 -1 "West Palm Beach-Boca Raton-Delray Beach, FL"
c: 9000 -1 "Wheeling, WV/OH"
c: 9040 -1 "Wichita, KS"
c: 9080 -1 "Wichita Falls, TX"
c: 9140 -1 "Williamsport, PA"
c: 9160 -1 "Wilmington, DE/NJ/MD"
c: 9200 -1 "Wilmington, NC"
c: 9240 -1 "Worcester, MA"
c: 9260 -1 "Yakima, WA"
c: 9270 -1 "Yolo, CA"
c: 9280 -1 "York, PA"
c: 9320 -1 "Youngstown-Warren, OH-PA"
c: 9340 -1 "Yuba City, CA"
c: 9360 -1 "Yuma, AZ"
I: CITY 0 7650 -1 7650 85 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxx..........xxx....xxxx...xxx.......x.x.x.
l: City
s: City
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not in identifiable city (or size group)"
c: 1 -1 "Aberdeen, SD"
c: 2 -1 "Aberdeen, WA"
c: 3 -1 "Abilene, TX"
c: 4 -1 "Ada, OK"
c: 5 -1 "Adams, MA"
c: 6 -1 "Adrian, MI"
c: 10 -1 "Akron, OH"
c: 30 -1 "Alameda, CA"
c: 50 -1 "Albany, NY"
c: 51 -1 "Albany, GA"
c: 52 -1 "Albert Lea, MN"
c: 70 -1 "Albuquerque, NM"
c: 90 -1 "Alexandria, VA"
c: 91 -1 "Alexandria, LA"
c: 100 -1 "Alhambra, CA"
c: 101 -1 "Aliquippa, PA"
c: 110 -1 "Allegheny, PA"
c: 120 -1 "Aliquippa, PA"
c: 130 -1 "Allentown, PA"
c: 131 -1 "Alliance, OH"
c: 132 -1 "Alpena, MI"
c: 140 -1 "Alton, IL"
c: 150 -1 "Altoona, PA"
c: 160 -1 "Amarillo, TX"
c: 161 -1 "Ambridge, PA"
c: 162 -1 "Ames, IA"
c: 163 -1 "Amesbury, MA"
c: 170 -1 "Amsterdam, NY"
c: 171 -1 "Anaconda, MT"
c: 190 -1 "Anaheim, CA"
c: 210 -1 "Anchorage, AK"
c: 230 -1 "Anderson, IN"
c: 231 -1 "Anderson, SC"
c: 250 -1 "Andover, MA"
c: 270 -1 "Ann Arbor, MI"
c: 271 -1 "Annapolis, MD"
c: 272 -1 "Anniston, AL"
c: 273 -1 "Ansonia, CT"
c: 280 -1 "Appleton, WI"
c: 281 -1 "Ardmore, OK"
c: 282 -1 "Argenta, AR"
c: 283 -1 "Arkansas, KS"
c: 290 -1 "Arlington, TX"
c: 310 -1 "Arlington, VA"
c: 311 -1 "Arlington, MA"
c: 312 -1 "Arnold, PA"
c: 313 -1 "Asbury Park, NJ"
c: 330 -1 "Asheville, NC"
c: 331 -1 "Ashland, OH"
c: 340 -1 "Ashland, KY"
c: 341 -1 "Ashland, WI"
c: 342 -1 "Ashtabula, OH"
c: 343 -1 "Astoria, OR"
c: 344 -1 "Atchison, KS"
c: 345 -1 "Athens, GA"
c: 346 -1 "Athol, MA"
c: 350 -1 "Atlanta, GA"
c: 370 -1 "Atlantic City, NJ"
c: 371 -1 "Attleboro, MA"
c: 390 -1 "Auburn, NY"
c: 391 -1 "Auburn, ME"
c: 410 -1 "Augusta, GA"
c: 430 -1 "Augusta, ME"
c: 450 -1 "Aurora, CO"
c: 470 -1 "Aurora, IL"
c: 490 -1 "Austin, TX"
c: 491 -1 "Austin, MN"
c: 510 -1 "Bakersfield, CA"
c: 530 -1 "Baltimore, MD"
c: 550 -1 "Bangor, ME"
c: 551 -1 "Barberton, OH"
c: 552 -1 "Barre, VT"
c: 553 -1 "Bartlesville, OK"
c: 554 -1 "Batavia, NY"
c: 570 -1 "Bath, ME"
c: 590 -1 "Baton Rouge, LA"
c: 610 -1 "Battle Creek, MI"
c: 630 -1 "Bay City, MI"
c: 640 -1 "Bayamon, PR"
c: 650 -1 "Bayonne, NJ"
c: 651 -1 "Beacon, NY"
c: 652 -1 "Beatrice, NE"
c: 660 -1 "Belleville, IL"
c: 670 -1 "Beaumont, TX"
c: 671 -1 "Beaver Falls, PA"
c: 672 -1 "Bedford, IN"
c: 673 -1 "Bellaire, OH"
c: 680 -1 "Bellevue, WA"
c: 690 -1 "Bellingham, WA"
c: 700 -1 "Belleville, NJ"
c: 701 -1 "Bellevue, PA"
c: 702 -1 "Belmont, OH"
c: 703 -1 "Belmont, MA"
c: 704 -1 "Beloit, WI"
c: 705 -1 "Bennington, VT"
c: 706 -1 "Benton Harbor, MI"
c: 710 -1 "Berkeley, CA"
c: 711 -1 "Berlin, NH"
c: 712 -1 "Berwick, PA"
c: 720 -1 "Berwyn, IL"
c: 721 -1 "Bessemer, AL"
c: 730 -1 "Bethlehem, PA"
c: 740 -1 "Biddeford, ME"
c: 741 -1 "Big Spring, TX"
c: 742 -1 "Billings, MT"
c: 743 -1 "Biloxi, MS"
c: 750 -1 "Binghamton, NY"
c: 760 -1 "Beverly, MA"
c: 761 -1 "Beverly Hills, CA"
c: 770 -1 "Birmingham, AL"
c: 771 -1 "Birmingham, CT"
c: 772 -1 "Bismarck, ND"
c: 780 -1 "Bloomfield, NJ"
c: 790 -1 "Bloomington, IL"
c: 791 -1 "Bloomington, IN"
c: 792 -1 "Blue Island, IL"
c: 793 -1 "Bluefield, WV"
c: 794 -1 "Blytheville, AR"
c: 795 -1 "Bogalusa, LA"
c: 800 -1 "Boise, ID"
c: 801 -1 "Boone, IA"
c: 810 -1 "Boston, MA"
c: 811 -1 "Boulder, CO"
c: 812 -1 "Bowling Green, KY"
c: 813 -1 "Braddock, PA"
c: 814 -1 "Braden, WA"
c: 815 -1 "Bradford, PA"
c: 816 -1 "Brainerd, MN"
c: 817 -1 "Braintree, MA"
c: 818 -1 "Brawley, CA"
c: 819 -1 "Bremerton, WA"
c: 830 -1 "Bridgeport, CT"
c: 831 -1 "Bridgeton, NJ"
c: 832 -1 "Bristol, CT"
c: 833 -1 "Bristol, PA"
c: 834 -1 "Bristol, VA"
c: 835 -1 "Bristol, TN"
c: 837 -1 "Bristol, RI"
c: 850 -1 "Brockton, MA"
c: 851 -1 "Brookfield, IL"
c: 870 -1 "Brookline, MA"
c: 880 -1 "Brownsville, TX"
c: 881 -1 "Brownwood, TX"
c: 882 -1 "Brunswick, GA"
c: 883 -1 "Bucyrus, OH"
c: 890 -1 "Buffalo, NY"
c: 900 -1 "Burlington, IA"
c: 905 -1 "Burlington, VT"
c: 906 -1 "Burlington, NJ"
c: 907 -1 "Bushkill, PA"
c: 910 -1 "Butte, MT"
c: 911 -1 "Butler, PA"
c: 920 -1 "Burbank, CA"
c: 921 -1 "Burlingame, CA"
c: 926 -1 "Cairo, IL"
c: 927 -1 "Calumet City, IL"
c: 930 -1 "Cambridge, MA"
c: 931 -1 "Cambridge, OH"
c: 950 -1 "Camden, NJ"
c: 951 -1 "Campbell, OH"
c: 952 -1 "Canonsburg, PA"
c: 970 -1 "Camden, NY"
c: 990 -1 "Canton, OH"
c: 991 -1 "Canton, IL"
c: 992 -1 "Cape Girardeau, MO"
c: 993 -1 "Carbondale, PA"
c: 994 -1 "Carlisle, PA"
c: 995 -1 "Carnegie, PA"
c: 996 -1 "Carrick, PA"
c: 997 -1 "Carteret, NJ"
c: 998 -1 "Carthage, MO"
c: 999 -1 "Casper, WY"
c: 1000 -1 "Cape Coral, FL"
c: 1010 -1 "Cedar Rapids, IA"
c: 1020 -1 "Central Falls, RI"
c: 1021 -1 "Centralia, IL"
c: 1023 -1 "Chambersburg, PA"
c: 1024 -1 "Champaign, IL"
c: 1025 -1 "Chanute, KS"
c: 1026 -1 "Charleroi, PA"
c: 1030 -1 "Charlestown, MA"
c: 1050 -1 "Charleston, SC"
c: 1060 -1 "Carolina, PR"
c: 1070 -1 "Charleston, WV"
c: 1090 -1 "Charlotte, NC"
c: 1091 -1 "Charlottesville, VA"
c: 1110 -1 "Chattanooga, TN"
c: 1130 -1 "Chelsea, MA"
c: 1150 -1 "Chesapeake, VA"
c: 1170 -1 "Chester, PA"
c: 1171 -1 "Cheyenne, WY"
c: 1190 -1 "Chicago, IL"
c: 1191 -1 "Chicago Heights, IL"
c: 1192 -1 "Chickasha, OK"
c: 1210 -1 "Chicopee, MA"
c: 1230 -1 "Chillicothe, OH"
c: 1250 -1 "Chula Vista, CA"
c: 1270 -1 "Cicero, IL"
c: 1290 -1 "Cincinnati, OH"
c: 1291 -1 "Clairton, PA"
c: 1292 -1 "Claremont, NH"
c: 1310 -1 "Clarksburg, WV"
c: 1311 -1 "Clarksdale, MS"
c: 1312 -1 "Cleburne, TX"
c: 1330 -1 "Cleveland, OH"
c: 1340 -1 "Cleveland Heights, OH"
c: 1341 -1 "Cliffside Park, NJ"
c: 1350 -1 "Clifton, NJ"
c: 1351 -1 "Clinton, IN"
c: 1370 -1 "Clinton, IA"
c: 1371 -1 "Clinton, MA"
c: 1372 -1 "Coatesville, PA"
c: 1373 -1 "Coffeyville, KS"
c: 1374 -1 "Cohoes, NY"
c: 1375 -1 "Collingswood, NJ"
c: 1390 -1 "Colorado Springs, CO"
c: 1400 -1 "Cohoes, NY"
c: 1410 -1 "Columbia, SC"
c: 1411 -1 "Columbia, PA"
c: 1412 -1 "Columbia, MO"
c: 1420 -1 "Columbia City, IN"
c: 1430 -1 "Columbus, GA"
c: 1450 -1 "Columbus, OH"
c: 1451 -1 "Columbus, MS"
c: 1452 -1 "Compton, CA"
c: 1470 -1 "Concord, CA"
c: 1490 -1 "Concord, NH"
c: 1491 -1 "Concord, NC"
c: 1492 -1 "Connellsville, PA"
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c: 1830 -1 "Duluth, MN"
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c: 1860 -1 ""
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c: 1893 -1 "East Moline, IL"
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c: 1931 -1 "East Providence, RI"
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c: 1974 -1 "El Dorado, AR"
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c: 3052 -1 "Ithaca, NY"
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c: 3071 -1 "Jackson, MN"
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c: 3292 -1 "Kewanee, IL"
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c: 3870 -1 "Madison, WI"
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c: 3912 -1 "Manhattan, KS"
c: 3913 -1 "Manistee, MI"
c: 3914 -1 "Manitowoc, WI"
c: 3915 -1 "Mankato, MN"
c: 3930 -1 "Mansfield, OH"
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c: 3932 -1 "Marietta, OH"
c: 3933 -1 "Marinette, WI"
c: 3934 -1 "Marion, IN"
c: 3940 -1 "Maywood, IL"
c: 3950 -1 "Marion, OH"
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c: 3952 -1 "Marquette, MI"
c: 3953 -1 "Marshall, TX"
c: 3954 -1 "Marshalltown, IA"
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c: 3956 -1 "Martinsburg, WV"
c: 3957 -1 "Mason City, IA"
c: 3958 -1 "Massena, NY"
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c: 3961 -1 "Mattoon, IL"
c: 3962 -1 "Mcalester, OK"
c: 3963 -1 "Mccomb, MS"
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c: 3970 -1 "McKeesport, PA"
c: 3971 -1 "Meadville, PA"
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c: 3991 -1 "Medford, OR"
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c: 3993 -1 "Melrose Park, IL"
c: 4010 -1 "Memphis, TN"
c: 4011 -1 "Menominee, MI"
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c: 4040 -1 "Meridian, MS"
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c: 4050 -1 "Mesa, AZ"
c: 4070 -1 "Mesquite, TX"
c: 4090 -1 "Metairie, LA"
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c: 4121 -1 "Middlesborough, KY"
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c: 4123 -1 "Middletown, NY"
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c: 4126 -1 "Milford, MA"
c: 4127 -1 "Millville, NJ"
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c: 4150 -1 "Minneapolis, MN"
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c: 4213 -1 "Monroe, LA"
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c: 4331 -1 "Muskegon Heights, MI"
c: 4350 -1 "Muskogee, OK"
c: 4351 -1 "Nanticoke, PA"
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c: 4390 -1 "Nashua, NH"
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c: 4416 -1 "Needham, MA"
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c: 4450 -1 "New Bedford, MA"
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c: 4452 -1 "New Brighton, NY"
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c: 4570 -1 "New Orleans, LA"
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c: 4650 -1 "Newark, OH"
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c: 4772 -1 "Newton, KS"
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c: 4792 -1 "Niles, OH"
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c: 4811 -1 "Norfolk, NE"
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c: 4834 -1 "North Braddock, PA"
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c: 4836 -1 "North Haven, CT"
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c: 4838 -1 "North Platte, NE"
c: 4839 -1 "North Providence, RI"
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c: 4842 -1 "North Yakima, WA"
c: 4843 -1 "Northbridge, MA"
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c: 4860 -1 "Norwalk, CA"
c: 4870 -1 "Norwalk, CT"
c: 4890 -1 "Norwich, CT"
c: 4900 -1 "Norwood, OH"
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c: 4970 -1 "Ogden, UT"
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c: 4992 -1 "Old Bennington, VT"
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c: 5040 -1 "Orange, CA"
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c: 5051 -1 "Orange, CT"
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c: 5092 -1 "Ossining, NY"
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c: 5113 -1 "Owensboro, KY"
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c: 5150 -1 "Pasadena, CA"
c: 5170 -1 "Pasadena, TX"
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c: 5190 -1 "Passaic, NJ"
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c: 5231 -1 "Peabody, MA"
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c: 5233 -1 "Pekin, IL"
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c: 5271 -1 "Peoria Heights, IL"
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c: 5335 -1 "Spring Garden"
c: 5341 -1 "Phillipsburg, NJ"
c: 5350 -1 "Phoenix, AZ"
c: 5351 -1 "Phoenixville, PA"
c: 5352 -1 "Pine Bluff, AR"
c: 5353 -1 "Piqua, OH"
c: 5354 -1 "Pittsburg, KS"
c: 5370 -1 "Pittsburgh, PA"
c: 5390 -1 "Pittsfield, MA"
c: 5391 -1 "Pittston, PA"
c: 5410 -1 "Plainfield, NJ"
c: 5411 -1 "Plattsburg, NY"
c: 5412 -1 "Pleasantville, NJ"
c: 5413 -1 "Plymouth, PA"
c: 5414 -1 "Plymouth, MA"
c: 5415 -1 "Pocatello, ID"
c: 5430 -1 "Plano, TX"
c: 5450 -1 "Pomona, CA"
c: 5451 -1 "Ponca City, OK"
c: 5460 -1 "Ponce, PR"
c: 5470 -1 "Pontiac, MI"
c: 5471 -1 "Port Angeles, WA"
c: 5480 -1 "Port Arthur, TX"
c: 5481 -1 "Port Chester, NY"
c: 5490 -1 "Port Huron, MI"
c: 5491 -1 "Port Jervis, NY"
c: 5510 -1 "Portland, ME"
c: 5511 -1 "Portland, IL"
c: 5530 -1 "Portland, OR"
c: 5550 -1 "Portsmouth, NH"
c: 5570 -1 "Portsmouth, OH"
c: 5590 -1 "Portsmouth, VA"
c: 5591 -1 "Pottstown, PA"
c: 5610 -1 "Pottsville, PA"
c: 5630 -1 "Poughkeepsie, NY"
c: 5650 -1 "Providence, RI"
c: 5660 -1 "Provo, UT"
c: 5670 -1 "Pueblo, CO"
c: 5671 -1 "Punxsutawney, PA"
c: 5690 -1 "Quincy, IL"
c: 5710 -1 "Quincy, MA"
c: 5730 -1 "Racine, WI"
c: 5731 -1 "Rahway, NJ"
c: 5750 -1 "Raleigh, NC"
c: 5751 -1 "Ranger, TX"
c: 5752 -1 "Rapid City, SD"
c: 5770 -1 "Rancho Cucamonga, CA"
c: 5790 -1 "Reading, PA"
c: 5791 -1 "Red Bank, NJ"
c: 5792 -1 "Redlands, CA"
c: 5810 -1 "Reno, NV"
c: 5811 -1 "Rensselaer, NY"
c: 5830 -1 "Revere, MA"
c: 5850 -1 "Richmond, IN"
c: 5870 -1 "Richmond, VA"
c: 5871 -1 "Richmond, CA"
c: 5872 -1 "Ridgefield Park, NJ"
c: 5873 -1 "Ridgewood, NJ"
c: 5874 -1 "River Rouge, MI"
c: 5890 -1 "Riverside, CA"
c: 5910 -1 "Roanoke, VA"
c: 5930 -1 "Rochester, NY"
c: 5931 -1 "Rochester, NH"
c: 5932 -1 "Rochester, MN"
c: 5933 -1 "Rock Hill, SC"
c: 5950 -1 "Rock Island, IL"
c: 5970 -1 "Rockford, IL"
c: 5971 -1 "Rockland, ME"
c: 5972 -1 "Rockton, IL"
c: 5973 -1 "Rockville Centre, NY"
c: 5974 -1 "Rocky Mount, NC"
c: 5990 -1 "Rome, NY"
c: 5991 -1 "Rome, GA"
c: 5992 -1 "Roosevelt, NJ"
c: 5993 -1 "Roselle, NJ"
c: 5994 -1 "Roswell, NM"
c: 6010 -1 "Roxbury, MA"
c: 6011 -1 "Royal Oak, MI"
c: 6012 -1 "Rumford Falls, ME"
c: 6013 -1 "Rutherford, NJ"
c: 6014 -1 "Rutland, VT"
c: 6030 -1 "Sacramento, CA"
c: 6050 -1 "Saginaw, MI"
c: 6070 -1 "Saint Joseph, MO"
c: 6090 -1 "Saint Louis, MO"
c: 6110 -1 "Saint Paul, MN"
c: 6130 -1 "Saint Petersburg, FL"
c: 6150 -1 "Salem, MA"
c: 6170 -1 "Salem, OR"
c: 6171 -1 "Salem, OH"
c: 6172 -1 "Salina, KS"
c: 6190 -1 "Salinas, CA"
c: 6191 -1 "Salisbury, NC"
c: 6192 -1 "Salisbury, MD"
c: 6210 -1 "Salt Lake City, UT"
c: 6211 -1 "San Angelo, TX"
c: 6220 -1 "San Angelo, TX"
c: 6230 -1 "San Antonio, TX"
c: 6231 -1 "San Benito, TX"
c: 6250 -1 "San Bernadino, CA"
c: 6260 -1 "San Buenaventura (Ventura), CA"
c: 6270 -1 "San Diego, CA"
c: 6280 -1 "Sandusky, OH"
c: 6281 -1 "Sanford, FL"
c: 6282 -1 "Sanford, ME"
c: 6290 -1 "San Francisco, CA"
c: 6300 -1 "San Juan, PR"
c: 6310 -1 "San Jose, CA"
c: 6311 -1 "San Leandro, CA"
c: 6312 -1 "San Mateo, CA"
c: 6320 -1 "Santa Barbara, CA"
c: 6321 -1 "Santa Cruz, CA"
c: 6322 -1 "Santa Fe, NM"
c: 6330 -1 "Santa Ana, CA"
c: 6340 -1 "Santa Clarita, CA"
c: 6350 -1 "Santa Rosa, CA"
c: 6351 -1 "Sapulpa, OK"
c: 6352 -1 "Saratoga Springs, NY"
c: 6353 -1 "Saugus, MA"
c: 6354 -1 "Sault Ste. Marie, MI"
c: 6360 -1 "Santa Monica, CA"
c: 6370 -1 "Savannah, GA"
c: 6390 -1 "Schenectedy, NY"
c: 6410 -1 "Scranton, PA"
c: 6430 -1 "Seattle, WA"
c: 6431 -1 "Sedalia, MO"
c: 6432 -1 "Selma, AL"
c: 6433 -1 "Seminole, OK"
c: 6434 -1 "Shaker Heights, OH"
c: 6435 -1 "Shamokin, PA"
c: 6437 -1 "Sharpsville, PA"
c: 6438 -1 "Shawnee, OK"
c: 6440 -1 "Sharon, PA"
c: 6450 -1 "Sheboygan, WI"
c: 6451 -1 "Shelby, NC"
c: 6452 -1 "Shelbyville, IN"
c: 6453 -1 "Shelton, CT"
c: 6470 -1 "Shenandoah Borough, PA"
c: 6471 -1 "Sherman, TX"
c: 6472 -1 "Shorewood, WI"
c: 6490 -1 "Shreveport, LA"
c: 6500 -1 "Simi Valley, CA"
c: 6510 -1 "Sioux City, IA"
c: 6530 -1 "Sioux Falls, SD"
c: 6550 -1 "Smithfield, RI (1850)"
c: 6570 -1 "Somerville, MA"
c: 6590 -1 "South Bend, IN"
c: 6591 -1 "South Bethlehem, PA"
c: 6592 -1 "South Boise, ID"
c: 6593 -1 "South Gate, CA"
c: 6594 -1 "South Milwaukee, WI"
c: 6595 -1 "South Norwalk, CT"
c: 6610 -1 "South Omaha, NE"
c: 6611 -1 "South Orange, NJ"
c: 6612 -1 "South Pasadena, CA"
c: 6613 -1 "South Pittsburgh, PA"
c: 6614 -1 "South Portland, ME"
c: 6615 -1 "South River, NJ"
c: 6616 -1 "South St. Paul, MN"
c: 6617 -1 "Southbridge, MA"
c: 6620 -1 "Spartanburg, SC"
c: 6630 -1 "Spokane, WA"
c: 6650 -1 "Springfield, IL"
c: 6670 -1 "Springfield, MA"
c: 6690 -1 "Springfield, MO"
c: 6691 -1 "St. Augustine, FL"
c: 6692 -1 "St. Charles, MO"
c: 6693 -1 "St. Cloud, MN"
c: 6710 -1 "Springfield, OH"
c: 6730 -1 "Stamford, CT"
c: 6731 -1 "Statesville, NC"
c: 6732 -1 "Staunton, VA"
c: 6733 -1 "Steelton, PA"
c: 6734 -1 "Sterling, IL"
c: 6750 -1 "Sterling Heights, MI"
c: 6770 -1 "Steubenville, OH"
c: 6771 -1 "Stevens Point, WI"
c: 6772 -1 "Stillwater, MN"
c: 6790 -1 "Stockton, CA"
c: 6791 -1 "Stoneham, MA"
c: 6792 -1 "Stonington, CT"
c: 6793 -1 "Stratford, CT"
c: 6794 -1 "Streator, IL"
c: 6795 -1 "Struthers, OH"
c: 6796 -1 "Suffolk, VA"
c: 6797 -1 "Summit, NJ"
c: 6798 -1 "Sumter, SC"
c: 6799 -1 "Sunbury, PA"
c: 6810 -1 "Sunnyvale, CA"
c: 6830 -1 "Superior, WI"
c: 6831 -1 "Swampscott, MA"
c: 6832 -1 "Sweetwater, TX"
c: 6833 -1 "Swissvale, PA"
c: 6850 -1 "Syracuse, NY"
c: 6870 -1 "Tacoma, WA"
c: 6871 -1 "Tallahassee, FL"
c: 6872 -1 "Tamaqua, PA"
c: 6890 -1 "Tampa, FL"
c: 6910 -1 "Taunton, MA"
c: 6911 -1 "Taylor, PA"
c: 6912 -1 "Temple, TX"
c: 6930 -1 "Tempe, AZ"
c: 6950 -1 "Terre Haute, IN"
c: 6951 -1 "Texarkana, TX"
c: 6952 -1 "Thomasville, GA"
c: 6953 -1 "Thomasville, NC"
c: 6954 -1 "Tiffin, OH"
c: 6960 -1 "Thousand Oaks, CA"
c: 6970 -1 "Toledo, OH"
c: 6971 -1 "Tonawanda, NY"
c: 6990 -1 "Topeka, KS"
c: 6991 -1 "Torrington, CT"
c: 6992 -1 "Traverse City, MI"
c: 7000 -1 "Torrance, CA"
c: 7010 -1 "Trenton, NJ"
c: 7011 -1 "Trinidad, CO"
c: 7030 -1 "Troy, NY"
c: 7050 -1 "Tucson, AZ"
c: 7070 -1 "Tulsa, OK"
c: 7071 -1 "Turtle Creek, PA"
c: 7072 -1 "Tuscaloosa, AL"
c: 7073 -1 "Two Rivers, WI"
c: 7074 -1 "Tyler, TX"
c: 7080 -1 "Union City, NJ"
c: 7081 -1 "Uniontown, PA"
c: 7082 -1 "University City, MO"
c: 7083 -1 "Urbana, IL"
c: 7090 -1 "Utica, NY"
c: 7091 -1 "Valdosta, GA"
c: 7092 -1 "Vallejo, CA"
c: 7093 -1 "Valley Stream, NY"
c: 7100 -1 "Vancouver, WA"
c: 7110 -1 "Vallejo, CA"
c: 7111 -1 "Vandergrift, PA"
c: 7112 -1 "Venice, CA"
c: 7120 -1 "Vicksburg, MS"
c: 7121 -1 "Vincennes, IN"
c: 7122 -1 "Virginia, MN"
c: 7123 -1 "Virginia City, NV"
c: 7130 -1 "Virginia Beach, VA"
c: 7140 -1 "University City, MO"
c: 7150 -1 "Waco, TX"
c: 7151 -1 "Wakefield, MA"
c: 7152 -1 "Walla Walla, WA"
c: 7153 -1 "Wallingford, CT"
c: 7170 -1 "Waltham, MA"
c: 7180 -1 "Warren, MI"
c: 7190 -1 "Warren, OH"
c: 7191 -1 "Warren, PA"
c: 7210 -1 "Warwick Town, RI"
c: 7230 -1 "Washington, DC"
c: 7231 -1 "Georgetown, DC"
c: 7240 -1 "Waukegan, IL"
c: 7241 -1 "Washington, PA"
c: 7242 -1 "Washington, VA"
c: 7250 -1 "Waterbury, CT"
c: 7270 -1 "Waterloo, IA"
c: 7290 -1 "Waterloo, NY"
c: 7310 -1 "Watertown, NY"
c: 7311 -1 "Watertown, WI"
c: 7312 -1 "Watertown, SD"
c: 7313 -1 "Watertown, MA"
c: 7314 -1 "Waterville, ME"
c: 7315 -1 "Watervliet, NY"
c: 7316 -1 "Waukegan, IL"
c: 7317 -1 "Waukesha, WI"
c: 7318 -1 "Wausau, WI"
c: 7319 -1 "Wauwatosa, WI"
c: 7320 -1 "West Covina, CA"
c: 7321 -1 "Waycross, GA"
c: 7322 -1 "Waynesboro, PA"
c: 7323 -1 "Webb City, MO"
c: 7324 -1 "Webster Groves, MO"
c: 7325 -1 "Webster, MA"
c: 7326 -1 "Wellesley, MA"
c: 7327 -1 "Wenatchee, WA"
c: 7329 -1 "West Bay City, MI"
c: 7330 -1 "West Hoboken, NJ"
c: 7331 -1 "West Bethlehem, PA"
c: 7332 -1 "West Chester, PA"
c: 7333 -1 "West Frankfort, IL"
c: 7334 -1 "West Hartford, CT"
c: 7335 -1 "West Haven, CT"
c: 7340 -1 "West Allis, WI"
c: 7350 -1 "West New York, NJ"
c: 7351 -1 "West Orange, NJ"
c: 7352 -1 "West Palm Beach, FL"
c: 7353 -1 "West Springfield, MA"
c: 7370 -1 "West Troy, NY"
c: 7371 -1 "West Warwick, RI"
c: 7372 -1 "Westbrook, ME"
c: 7373 -1 "Westerly, RI"
c: 7374 -1 "Westfield, MA"
c: 7375 -1 "Westfield, NJ"
c: 7376 -1 "Wewoka, OK"
c: 7377 -1 "Weymouth, MA"
c: 7390 -1 "Wheeling, WV"
c: 7400 -1 "White Plains, NY"
c: 7401 -1 "Whiting, IN"
c: 7402 -1 "Whittier, CA"
c: 7410 -1 "Wichita, KS"
c: 7430 -1 "Wichita Falls, TX"
c: 7450 -1 "Wilkes-Barre, PA"
c: 7451 -1 "Wilkinsburg, PA"
c: 7460 -1 "Wilkinsburg, PA"
c: 7470 -1 "Williamsport, PA"
c: 7471 -1 "Willimantic, CT"
c: 7472 -1 "Wilmette, IL"
c: 7490 -1 "Wilmington, DE"
c: 7510 -1 "Wilmington, NC"
c: 7511 -1 "Wilson, NC"
c: 7512 -1 "Winchester, VA"
c: 7513 -1 "Winchester, MA"
c: 7514 -1 "Windham, CT"
c: 7515 -1 "Winnetka, IL"
c: 7516 -1 "Winona, MN"
c: 7530 -1 "Winston-Salem, NC"
c: 7531 -1 "Winthrop, MA"
c: 7532 -1 "Woburn, MA"
c: 7533 -1 "Woodlawn, PA"
c: 7534 -1 "Woodmont, CT"
c: 7550 -1 "Woonsocket, RI"
c: 7551 -1 "Wooster, OH"
c: 7570 -1 "Worcester, MA"
c: 7571 -1 "Wyandotte, MI"
c: 7572 -1 "Xenia, OH"
c: 7573 -1 "Yakima, WA"
c: 7590 -1 "Yonkers, NY"
c: 7610 -1 "York, PA"
c: 7630 -1 "Youngstown, OH"
c: 7631 -1 "Ypsilanti, MI"
c: 7650 -1 "Zanesville, OH"
I: CITYPOP -1 -1 -2 82144 89 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxx..........xxxxx..xxxx...xxx.......x.x.x.
l: City population
s: City population
c: "....." -1 -1 "Not Available for this Year and Data Set"
c: "ZZZZZ" -2 -1 "ZZZZZ"
I: SIZEPL 0 90 -1 90 94 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxx..........xx.....xxxx...................
l: Size of place
s: Size of place
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not identifiable"
c: 1 -1 "Under 1,000, or unincorporated"
c: 2 -1 "1,000 - 2,499"
c: 3 -1 "2,500 - 3,999"
c: 4 -1 "4,000 - 4,999"
c: 5 -1 "5,000 - 9,999"
c: 6 -1 "10,000 - 24,999"
c: 7 -1 "25,000 - 49,999"
c: 8 -1 "50,000 - 74,999"
c: 9 -1 "75,000 - 99,999"
c: 10 -1 "100,000 - 199,999"
c: 20 -1 "200,000 - 299,999"
c: 30 -1 "300,000 - 399,999"
c: 40 -1 "400,000 - 499,999"
c: 50 -1 "500,000 - 599,999"
c: 60 -1 "600,000 - 749,999"
c: 70 -1 "750,000 - 999,999"
c: 80 -1 "1,000,000 - 1,999,999"
c: 90 -1 "2,000,000+"
I: NENGPOP -1 -1 -1 7811 96 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: New England population in minor civil division
s: New England population in minor civil division
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: URBPOP -1 -1 -1 69304 101 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Population of urban places
s: Population of urban places
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: SEA -1 -1 -1 999 106 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxx........................................
l: State Economic Area
s: State Economic Area
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: MDSTATUS 1 9 -1 4 109 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Metropolitan district status
s: Metropolitan district status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Not Metropolitan District"
c: 2 -1 "Central City"
c: 3 -1 "Urbanized Fringe"
c: 4 -1 "Metropolitan Fringe"
c: 9 -1 "Not Classified"
I: METDIST 0 9999 -1 9320 110 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Metropolitan district
s: Metropolitan district
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not in a metropolitan district"
c: 80 -1 "Akron, Ohio"
c: 160 -1 "Albany-Troy, N.Y."
c: 180 -1 "Schenectady, N.Y."
c: 240 -1 "Allentown-Bethlehem, Pa."
c: 280 -1 "Altoona, Pa."
c: 320 -1 "Amarillo, Tex."
c: 480 -1 "Asheville, N.C."
c: 520 -1 "Atlanta, Ga."
c: 560 -1 "Atlantic City, N.J."
c: 600 -1 "Augusta, Ga."
c: 640 -1 "Austin, Tex."
c: 720 -1 "Baltimore, Md."
c: 840 -1 "Beaumont, Tex."
c: 850 -1 "Port Arthur, Tex."
c: 960 -1 "Binghamton, N.Y."
c: 1000 -1 "Birmingham, Ala."
c: 1120 -1 "Boston, Mass."
c: 1121 -1 "Lawrence-Haverhill, Mass."
c: 1122 -1 "Lowell, Mass."
c: 1160 -1 "Bridgeport, Conn."
c: 1200 -1 "Brockton, Mass."
c: 1280 -1 "Buffalo, N.Y."
c: 1281 -1 "Niagara Falls, N.Y."
c: 1320 -1 "Canton, Ohio"
c: 1360 -1 "Cedar Rapids, Iowa"
c: 1440 -1 "Charleston, S.C."
c: 1480 -1 "Charleston, W.Va."
c: 1520 -1 "Charlotte, N.C."
c: 1560 -1 "Chattanooga, Tenn."
c: 1600 -1 "Chicago, Ill.-Ind."
c: 1640 -1 "Cincinnati, Ohio-Ky."
c: 1680 -1 "Cleveland, Ohio"
c: 1760 -1 "Columbia, S.C."
c: 1800 -1 "Columbus, Ga."
c: 1840 -1 "Columbus, Ohio"
c: 1880 -1 "Corpus Christi, Tex."
c: 1920 -1 "Dallas, Tex."
c: 1921 -1 "Fort Worth, Tex."
c: 1960 -1 "Davenport-Rock Island-Moline, Iowa-Ill."
c: 2000 -1 "Dayton, Ohio"
c: 2001 -1 "Springfield, Ohio"
c: 2040 -1 "Decatur, Ill."
c: 2080 -1 "Denver, Colo."
c: 2120 -1 "Des Moines, Iowa"
c: 2160 -1 "Detroit, Mich."
c: 2161 -1 "Pontiac, Mich."
c: 2240 -1 "Duluth-Superior, Minn.-Wis."
c: 2310 -1 "El Paso, Tex."
c: 2360 -1 "Erie, Pa."
c: 2440 -1 "Evansville, Ind."
c: 2640 -1 "Flint, Mich."
c: 2760 -1 "Fort Wayne, Ind."
c: 2840 -1 "Fresno, Calif."
c: 2920 -1 "Galveston, Tex."
c: 3000 -1 "Grand Rapids, Mich."
c: 3120 -1 "Greensboro, N.C."
c: 3121 -1 "Winston-Salem, N.C."
c: 3200 -1 "Hamilton, Ohio"
c: 3240 -1 "Harrisburg, Pa."
c: 3280 -1 "Hartford, Conn."
c: 3283 -1 "New Britain, Conn."
c: 3360 -1 "Houston, Tex."
c: 3400 -1 "Huntington-Ashland, Ky.-Ohio"
c: 3480 -1 "Indianapolis, Ind."
c: 3520 -1 "Jackson, Mich."
c: 3560 -1 "Jackson, Miss."
c: 3590 -1 "Jacksonville, Fla."
c: 3680 -1 "Johnstown, Pa."
c: 3720 -1 "Kalamazoo, Mich."
c: 3760 -1 "Kansas City, Mo.-Kans."
c: 3800 -1 "Kenosha, Wis."
c: 3840 -1 "Knoxville, Tenn."
c: 4000 -1 "Lancaster, Pa."
c: 4040 -1 "Lansing, Mich."
c: 4360 -1 "Lincoln, Neb."
c: 4400 -1 "Little Rock, Ark."
c: 4480 -1 "Los Angeles, Calif."
c: 4520 -1 "Louisville, Ky."
c: 4680 -1 "Macon, Ga."
c: 4720 -1 "Madison, Wis."
c: 4760 -1 "Manchester, N.H."
c: 4920 -1 "Memphis, Tenn."
c: 5000 -1 "Miami, Fla."
c: 5080 -1 "Milwaukee, Wis."
c: 5120 -1 "Minneapolis-St. Paul, Minn."
c: 5160 -1 "Mobile, Ala."
c: 5240 -1 "Montgomery, Ala."
c: 5320 -1 "Muskegon, Mich."
c: 5360 -1 "Nashville, Tenn."
c: 5400 -1 "New Bedford, Mass."
c: 5480 -1 "New Haven, Conn."
c: 5560 -1 "New Orleans, La."
c: 5600 -1 "New York, N.Y.-Northeastern New Jersey"
c: 5720 -1 "Norfolk-Portsmouth, Va."
c: 5880 -1 "Oklahoma City, Okla."
c: 5920 -1 "Omaha, Neb.-Iowa"
c: 6120 -1 "Peoria, Ill."
c: 6160 -1 "Philadelphia, Pa.-N.J."
c: 6200 -1 "Phoenix, Ariz."
c: 6280 -1 "Pittsburgh, Pa."
c: 6400 -1 "Portland, Maine"
c: 6440 -1 "Portland, Oreg.-Wash."
c: 6480 -1 "Providence, R.I.-Mass."
c: 6481 -1 "Fall River, Mass."
c: 6560 -1 "Pueblo, Colo."
c: 6600 -1 "Racine, Wis."
c: 6641 -1 "Durham, N.C."
c: 6680 -1 "Reading, Pa."
c: 6760 -1 "Richmond, Va."
c: 6781 -1 "San Bernardino, Calif."
c: 6800 -1 "Roanoke, Va."
c: 6840 -1 "Rochester, N.Y."
c: 6880 -1 "Rockford, Ill."
c: 6920 -1 "Sacramento, Calif."
c: 6960 -1 "Saginaw, Mich."
c: 6961 -1 "Bay City, Mich."
c: 7000 -1 "St. Joseph, Mo."
c: 7040 -1 "St. Louis, Mo.-Ill."
c: 7060 -1 "St. Petersburg, Fla."
c: 7160 -1 "Salt Lake City, Utah"
c: 7240 -1 "San Antonio, Tex."
c: 7320 -1 "San Diego, Calif."
c: 7360 -1 "San Francisco-Oakland, Calif."
c: 7400 -1 "San Jose, Calif."
c: 7520 -1 "Savannah, Ga."
c: 7560 -1 "Scranton, Pa."
c: 7561 -1 "Wilkes-Barre, Pa."
c: 7600 -1 "Seattle, Wash."
c: 7680 -1 "Shreveport, La."
c: 7720 -1 "Sioux City, Iowa"
c: 7800 -1 "South Bend, Ind."
c: 7840 -1 "Spokane, Wash."
c: 7880 -1 "Springfield, Ill."
c: 7920 -1 "Springfield, Mo."
c: 8000 -1 "Springfield-Holyoke, Mass."
c: 8120 -1 "Stockton, Calif."
c: 8160 -1 "Syracuse, N.Y."
c: 8200 -1 "Tacoma, Wash."
c: 8280 -1 "Tampa, Fla."
c: 8300 -1 "St. Petersburg, Fla."
c: 8320 -1 "Terre Haute, Ind."
c: 8400 -1 "Toledo, Ohio"
c: 8440 -1 "Topeka, Kans."
c: 8480 -1 "Trenton, N.J."
c: 8560 -1 "Tulsa, Okla."
c: 8680 -1 "Utica, N.Y."
c: 8800 -1 "Waco, Tex."
c: 8840 -1 "Washington, D.C.-Md.-Va."
c: 8880 -1 "Waterbury, Conn."
c: 8920 -1 "Waterloo, Iowa"
c: 9000 -1 "Wheeling, W.Va."
c: 9040 -1 "Wichita, Kans."
c: 9160 -1 "Wilmington, Del."
c: 9240 -1 "Worcester, Mass."
c: 9280 -1 "York, Pa."
c: 9320 -1 "Youngstown, Ohio"
c: 9999 -1 "Not classified"
I: URBAREA 0 9320 -1 9320 114 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..............x...........................
l: Urbanized area
s: Urbanized area
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (household does not reside in an urbanized area)"
c: 80 -1 "Akron, OH"
c: 160 -1 "Albany-Schenectady-Troy, NY"
c: 180 -1 "Schenectady, NY"
c: 240 -1 "Allentown-Bethlehem-Easton, PA/NJ"
c: 280 -1 "Altoona, PA"
c: 380 -1 "Anchorage, AK"
c: 440 -1 "Ann Arbor, MI"
c: 480 -1 "Asheville, NC"
c: 520 -1 "Atlanta, GA"
c: 560 -1 "Atlantic City, NJ"
c: 600 -1 "Augusta-Aiken, GA-SC"
c: 640 -1 "Austin, TX"
c: 680 -1 "Bakersfield, CA"
c: 720 -1 "Baltimore, MD"
c: 760 -1 "Baton Rouge, LA"
c: 840 -1 "Beaumont-Port Arthur-Orange,TX"
c: 850 -1 "Port Arthur, TX"
c: 960 -1 "Binghamton, NY"
c: 1000 -1 "Birmingham, AL"
c: 1120 -1 "Boston, MA"
c: 1121 -1 "Lawrence-Haverhill, MA/NH"
c: 1122 -1 "Lowell, MA/NH"
c: 1160 -1 "Bridgeport, CT"
c: 1200 -1 "Brockton, MA"
c: 1280 -1 "Buffalo, NY"
c: 1281 -1 "Niagara Falls, NY"
c: 1320 -1 "Canton, OH"
c: 1360 -1 "Cedar Rapids, IA"
c: 1440 -1 "Charleston-N.Charleston,SC"
c: 1480 -1 "Charleston, WV"
c: 1520 -1 "Charlotte-Gastonia-Rock Hill, SC"
c: 1560 -1 "Chattanooga, TN/GA"
c: 1600 -1 "Chicago-Gary-Lake, IL"
c: 1640 -1 "Cincinnati, OH/KY/IN"
c: 1680 -1 "Cleveland, OH"
c: 1760 -1 "Columbia, SC"
c: 1800 -1 "Columbus, GA/AL"
c: 1840 -1 "Columbus, OH"
c: 1920 -1 "Dallas-Fort Worth, TX"
c: 1921 -1 "Fort Worth-Arlington, TX"
c: 1960 -1 "Davenport, IA Rock Island-Moline, IL"
c: 2000 -1 "Dayton-Springfield, OH"
c: 2001 -1 "Springfield, OH"
c: 2040 -1 "Decatur, IL"
c: 2080 -1 "Denver-Boulder-Longmont, CO"
c: 2120 -1 "Des Moines, IA"
c: 2160 -1 "Detroit, MI"
c: 2161 -1 "Pontiac, MI"
c: 2240 -1 "Duluth-Superior, MN/WI"
c: 2310 -1 "El Paso, TX"
c: 2360 -1 "Erie, PA"
c: 2440 -1 "Evansville, IN/KY"
c: 2540 -1 "Montgomery, AL"
c: 2640 -1 "Flint, MI"
c: 2680 -1 "Fort Lauderdale-Hollywood-Pompano Beach, FL"
c: 2760 -1 "Fort Wayne, IN"
c: 2840 -1 "Fresno, CA"
c: 2920 -1 "Galveston-Texas City, TX"
c: 3000 -1 "Grand Rapids, MI"
c: 3120 -1 "Greensboro-Winston Salem-High Point, NC"
c: 3121 -1 "Winston-Salem, NC"
c: 3200 -1 "Hamilton-Middleton, OH"
c: 3240 -1 "Harrisburg-Lebanon-Carlisle, PA"
c: 3280 -1 "Hartford-Bristol-Middleton, CT"
c: 3283 -1 "New Britain, CT"
c: 3360 -1 "Houston-Brazoria, TX"
c: 3400 -1 "Huntington-Ashland, WV/KY/OH"
c: 3480 -1 "Indianapolis, IN"
c: 3520 -1 "Jackson, MI"
c: 3590 -1 "Jacksonville, FL"
c: 3680 -1 "Johnstown, PA"
c: 3720 -1 "Kalamazoo-Portage, MI"
c: 3760 -1 "Kansas City, MO-KS"
c: 3800 -1 "Kenosha, WI"
c: 3840 -1 "Knoxville, TN"
c: 4000 -1 "Lancaster, PA"
c: 4040 -1 "Lansing-E. Lansing, MI"
c: 4120 -1 "Las Vegas, NV"
c: 4280 -1 "Lexington-Fayette, KY"
c: 4360 -1 "Lincoln, NE"
c: 4400 -1 "Little Rock-North Little Rock, AR"
c: 4480 -1 "Los Angeles-Long Beach, CA"
c: 4520 -1 "Louisville, KY/IN"
c: 4680 -1 "Macon-Warner Robins, GA"
c: 4720 -1 "Madison, WI"
c: 4760 -1 "Manchester, NH"
c: 4920 -1 "Memphis, TN/AR/MS"
c: 5000 -1 "Miami-Hialeah, FL"
c: 5080 -1 "Milwaukee, WI"
c: 5120 -1 "Minneapolis-St. Paul, MN"
c: 5160 -1 "Mobile, AL"
c: 5320 -1 "Muskegon-Norton Shores-Muskegon Heights, MI"
c: 5360 -1 "Nashville, TN"
c: 5400 -1 "New Bedford, MA"
c: 5480 -1 "New Haven-Meriden, CT"
c: 5560 -1 "New Orleans, LA"
c: 5600 -1 "New York-Northeastern NJ"
c: 5720 -1 "Norfolk-VA Beach-Newport News, VA"
c: 5880 -1 "Oklahoma City, OK"
c: 5920 -1 "Omaha, NE/IA"
c: 5960 -1 "Orlando, FL"
c: 6120 -1 "Peoria, IL"
c: 6160 -1 "Philadelphia, PA/NJ"
c: 6200 -1 "Phoenix, AZ"
c: 6280 -1 "Pittsburgh-Beaver Valley, PA"
c: 6400 -1 "Portland, ME"
c: 6440 -1 "Portland-Vancouver, OR"
c: 6480 -1 "Providence-Fall River-Pawtucket, MA/RI"
c: 6481 -1 "Fall River, MA/RI"
c: 6560 -1 "Pueblo, CO"
c: 6600 -1 "Racine, WI"
c: 6641 -1 "Durham, NC"
c: 6680 -1 "Reading, PA"
c: 6760 -1 "Richmond-Petersburg, VA"
c: 6780 -1 "Riverside-San Bernadino, CA"
c: 6800 -1 "Roanoke, VA"
c: 6840 -1 "Rochester, NY"
c: 6880 -1 "Rockford, IL"
c: 6920 -1 "Sacramento, CA"
c: 6960 -1 "Saginaw-Bay City-Midland, MI"
c: 7000 -1 "St. Joseph, MO"
c: 7040 -1 "St. Louis, MO-IL"
c: 7160 -1 "Salt Lake City-Ogden, UT"
c: 7240 -1 "San Antonio, TX"
c: 7320 -1 "San Diego, CA"
c: 7360 -1 "San Francisco-Oakland-Vallejo, CA"
c: 7400 -1 "San Jose, CA"
c: 7520 -1 "Savannah, GA"
c: 7560 -1 "Scranton-Wilkes-Barre, PA"
c: 7561 -1 "Wilkes-Barre-Hazelton, PA"
c: 7600 -1 "Seattle-Everett, WA"
c: 7680 -1 "Shreveport, LA"
c: 7720 -1 "Sioux City, IA/NE"
c: 7800 -1 "South Bend-Mishawaka, IN"
c: 7840 -1 "Spokane, WA"
c: 7880 -1 "Springfield, IL"
c: 7920 -1 "Springfield, MO"
c: 8000 -1 "Springfield-Holyoke-Chicopee, MA"
c: 8160 -1 "Syracuse, NY"
c: 8200 -1 "Tacoma, WA"
c: 8280 -1 "Tampa-St. Petersburg-Clearwater, FL"
c: 8281 -1 "Tampa, FL"
c: 8282 -1 "St. Petersberg, FL"
c: 8320 -1 "Terre Haute, IN"
c: 8400 -1 "Toledo, OH/MI"
c: 8440 -1 "Topeka, KS"
c: 8480 -1 "Trenton, NJ"
c: 8520 -1 "Tucson, AZ"
c: 8560 -1 "Tulsa, OK"
c: 8680 -1 "Utica-Rome, NY"
c: 8730 -1 "Ventura-Oxnard-Simi Valley, CA"
c: 8800 -1 "Waco, TX"
c: 8840 -1 "Washington, DC/MD/VA"
c: 8880 -1 "Waterbury, CT"
c: 9000 -1 "Wheeling, WV/OH"
c: 9040 -1 "Wichita, KS"
c: 9160 -1 "Wilmington, DE/NJ/MD"
c: 9240 -1 "Worcester, MA"
c: 9280 -1 "York, PA"
c: 9320 -1 "Youngstown-Warren, OH-PA"
I: WARD 0 999 -1 999 118 3
t: convert_all_categories true
t: new_value_offset -1
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l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .xxxx...xxxx.x.x..........................................
l: Ward
s: Ward
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I: MCD -1 -1 -1 91180 121 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Minor Civil Division code
s: Minor Civil Division code
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: INCORP -1 -1 -1 91880 126 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Incorporated municipality code
s: Incorporated municipality code
c: "....." -1 -1 "Not Available for this Year and Data Set"
c: "..............." -1 -1 "Not Available for this Year and Data Set"
I: PRCITYCO -1 -1 -1 7608 146 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Puerto Rican city code
s: Puerto Rican city code
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: PRCOUNTY -1 -1 -1 76 150 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Puerto Rican county code
s: Puerto Rican county code
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: PRDATANU -1 -1 -1 3 187 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Puerto Rican dataset
s: Puerto Rican dataset
c: "." -1 -1 "Not Available for this Year and Data Set"
I: CNTRY 630 840 630 840 188 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Country
s: Country
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 630 -1 "Puerto Rico"
c: 840 -1 "United States"
I: GQ 0 6 0 6 191 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Group quarters status
s: Group quarters status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Vacant unit"
c: 1 -1 "Households under 1970 definition"
c: 2 -1 "Additional households under 1990 definition"
c: 3 -1 "Group quarters--Institutions"
c: 4 -1 "Other group quarters"
c: 5 -1 "Additional households under 2000 definition"
c: 6 -1 "Fragment"
I: GQTYPE 0 9 -1 9 192 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...........
l: Group quarters type [general version]
s: Group quarters type [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "NA (non-group quarters households)"
c: 1 -1 "Institution (1990, 2000)"
c: 2 -1 "Correctional institutions"
c: 3 -1 "Mental institutions"
c: 4 -1 "Institutions for the elderly, handicapped, and poor"
c: 5 -1 "Non-instutional GQ"
c: 6 -1 "Military"
c: 7 -1 "College dormitory"
c: 8 -1 "Rooming house"
c: 9 -1 "Other non-institutional GQ and unknown"
I: GQTYPED 0 999 -1 999 193 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx...........
l: Group quarters type [detailed version]
s: Group quarters type [detailed version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "NA (non-group quarters households)"
c: 10 -1 "Family group, someone related to head"
c: 20 -1 "Unrelated individuals, no one related to head"
c: 100 -1 "Institution (1990, 2000)"
c: 200 -1 "Correctional institution"
c: 210 -1 "Federal/state correctional"
c: 211 -1 "Prison"
c: 212 -1 "Penitentiary"
c: 213 -1 "Military prison"
c: 220 -1 "Local correctional"
c: 221 -1 "Jail"
c: 230 -1 "School juvenile delinquents"
c: 240 -1 "Reformatory"
c: 250 -1 "Camp or chaingang"
c: 260 -1 "House of correction"
c: 300 -1 "Mental institutions"
c: 400 -1 "Institutions for the elderly, handicapped, and poor"
c: 410 -1 "Homes for elderly"
c: 411 -1 "Aged, dependent home"
c: 412 -1 "Nursing/convalescent home"
c: 413 -1 "Old soldiers home"
c: 420 -1 "Other Instits (Not Aged)"
c: 430 -1 "Homes neglected/depend children"
c: 431 -1 "Orphan school"
c: 432 -1 "Orphans home, asylum"
c: 440 -1 "Other instits for children"
c: 441 -1 "Childrens home, asylum"
c: 450 -1 "Homes physically handicapped"
c: 451 -1 "Deaf, blind school"
c: 452 -1 "Deaf, blind, epilepsy"
c: 460 -1 "Mentally handicapped home"
c: 461 -1 "School for feeblemind"
c: 470 -1 "TB and chronic disease hospital"
c: 471 -1 "Chronic hospitals"
c: 472 -1 "Sanataria"
c: 480 -1 "Poor houses and farms"
c: 481 -1 "Poor house, almshouse"
c: 482 -1 "Poor farm, workhouse"
c: 491 -1 "Maternity homes for unmarried mothers"
c: 492 -1 "Homes for widows, single, fallen women"
c: 493 -1 "Detention homes"
c: 494 -1 "Misc asylums"
c: 495 -1 "Home, other dependent"
c: 496 -1 "Instit combo or unknown"
c: 500 -1 "Non-Institutional group quarters"
c: 501 -1 "Family formerly in institutional group quarters"
c: 502 -1 "Unrelated individual residing with family formerly in instit"
c: 600 -1 "Military"
c: 601 -1 "U.S. army installation"
c: 602 -1 "Navy, marine intallation"
c: 603 -1 "Navy ships"
c: 604 -1 "Air service"
c: 700 -1 "College dormitory"
c: 701 -1 "Military service academies"
c: 800 -1 "Rooming house"
c: 801 -1 "Hotel"
c: 802 -1 "House, lodging apartments"
c: 803 -1 "YMCA, YWCA"
c: 804 -1 "Club"
c: 900 -1 "Other Non-Instit GQ"
c: 910 -1 "Schools"
c: 911 -1 "Boarding schools"
c: 912 -1 "Academy, institute"
c: 913 -1 "Industrial training"
c: 914 -1 "Indian school"
c: 920 -1 "Hospitals"
c: 921 -1 "Hospital, charity"
c: 922 -1 "Infirmary"
c: 923 -1 "Maternity hospital"
c: 924 -1 "Childrens hospital"
c: 931 -1 "Church, Abbey"
c: 932 -1 "Convent"
c: 933 -1 "Monastery"
c: 934 -1 "Mission"
c: 935 -1 "Seminary"
c: 936 -1 "Religious commune"
c: 937 -1 "Other religious"
c: 940 -1 "Work sites"
c: 941 -1 "Construction, except rr"
c: 942 -1 "Lumber"
c: 943 -1 "Mining"
c: 944 -1 "Railroad"
c: 945 -1 "Farms, ranches"
c: 946 -1 "Ships, boats"
c: 947 -1 "Other industrial"
c: 948 -1 "Other worksites"
c: 950 -1 "Nurses home, dorm"
c: 955 -1 "Passenger ships"
c: 960 -1 "Other group quarters"
c: 976 -1 "Common or general laborer"
c: 982 -1 "Housework at home"
c: 984 -1 "Retired"
c: 995 -1 "Income from property, farm, pension, etc."
c: 999 -1 "Fragment (boarders and lodgers, 1900)"
I: GQFUNDS 0 99 -1 99 196 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx.x........................................
l: Group quarters funding
s: Group quarters funding
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 11 -1 "Federal support"
c: 12 -1 "Federal and State"
c: 13 -1 "State support"
c: 14 -1 "Local support"
c: 15 -1 "State and Local"
c: 16 -1 "Government, not specified"
c: 21 -1 "Private, Nonprofit"
c: 22 -1 "Private, Commercial"
c: 23 -1 "Religious"
c: 24 -1 "Ethnic, fraternal"
c: 25 -1 "Private, unknown"
c: 99 -1 "Unknown"
I: FARM 0 2 -1 2 198 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxx..xxxxxxxxxxxxxxxxxxxxxxx
l: Farm status
s: Farm status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Non-Farm"
c: 2 -1 "Farm"
I: FARMSCHD 0 9 -1 9 199 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxx..........................................
l: Farm schedule
s: Farm schedule
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes, 1 schedule"
c: 3 -1 "Yes, 2 schedules"
c: 4 -1 "Yes, 3 schedules"
c: 5 -1 "Yes, 4 schedules"
c: 6 -1 "Yes, 5 schedules"
c: 7 -1 "Yes, 6 schedules"
c: 8 -1 "Yes, 7 schedules"
c: 9 -1 "Yes, 8 or more schedules"
I: OWNERSHP 0 2 -1 2 200 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Ownership of dwelling [general version]
s: Ownership of dwelling [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Owned or being bought (loan)"
c: 2 -1 "Rented"
I: OWNERSHD 0 22 -1 22 201 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Ownership of dwelling [detailed version]
s: Ownership of dwelling [detailed version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "Owned or being bought"
c: 11 -1 "Check mark (owns?)"
c: 12 -1 "Owned free and clear"
c: 13 -1 "Owned with mortgage or loan"
c: 20 -1 "Rented"
c: 21 -1 "No cash rent"
c: 22 -1 "With cash rent"
I: MORTGAGE 0 4 -1 4 203 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxx..........xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Mortgage status
s: Mortgage status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, owned free and clear"
c: 2 -1 "Check mark on manuscript (probably yes)"
c: 3 -1 "Yes, mortgaged/ deed of trust or similar debt"
c: 4 -1 "Yes, contract to purchase"
I: COMMUSE 0 4 -1 4 204 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Commercial use
s: Commercial use
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No commerical use"
c: 2 -1 "Yes, used commercially"
c: 3 -1 "Unknown, unit on 10+ acres"
c: 4 -1 "Unknown, unit on 3+ cuerdas"
I: LANDRENT 0 2 -1 2 205 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.......................................
l: Rent includes land used for farming
s: Rent includes land used for farming
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: FARMPROD -1 -1 -1 6 206 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxx...xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Sales of farm products
s: Sales of farm products
c: "." -1 -1 "Not Available for this Year and Data Set"
I: ACREPROP 0 8 -1 8 207 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxx...xxxxxxxxxxxxxxxxxxx...........
l: Acreage of property
s: Acreage of property
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "City or suburban lot"
c: 2 -1 "City or suburban lot or rural lot less than 1 acre"
c: 3 -1 "Non-city, non-surburban, under 10 acres"
c: 4 -1 "Non-city, non-surburban, less than 3 cuerdas (Puerto Rico)"
c: 5 -1 "Non-city, non-surburban, 3 or more cuerdas (Puerto Rico)"
c: 6 -1 "3 to 10 cuerdas (Puerto Rico)"
c: 7 -1 "Non-city, non-surburban, 1-9 acres"
c: 8 -1 "Non-city, non-surburban, 10+ acres (10+ cuerdas, Puerto Rico"
I: ACRENONF 0 2 -1 2 208 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Acreage of nonfarm house
s: Acreage of nonfarm house
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "House on a place of less than 3 acres"
c: 2 -1 "House on a place of 3 acres or more"
I: RENT -1 -1 -1 9999 209 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Monthly contract rent
s: Monthly contract rent
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: RENT30 -1 -1 -1 9999 213 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............x..........................................
l: Monthly contract rent, 1930
s: Monthly contract rent, 1930
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: RENTGRS -1 -1 -1 4558 217 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxx..xxxxxxxxxxxxxxxx
l: Monthly gross rent
s: Monthly gross rent
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: FTOTINC -1 -1 -40244 999999 221 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Total family income
s: Total family income
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: FWAGE1 -1 -1 -1 99999 227 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Family wage and salary income
s: Family wage and salary income
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: FWAGE2 -1 -1 -1 99999 232 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Wage/salary income of other family members
s: Wage/salary income of other family members
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: FBUSINC -1 -1 -1 99999 237 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Business income of other family members
s: Business income of other family members
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: FOTHINC -1 -1 -1 99999 242 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Other income of other family members
s: Other income of other family members
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: VALUEH -1 -1 -1 999999 247 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............xx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: House value
s: House value
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: ACCESS 0 2 -1 2 253 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxx.......................
l: Access to unit
s: Access to unit
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Direct from outside or through common or public hall"
c: 2 -1 "Through someone else''s living quarters"
I: KITCHEN 0 5 -1 5 254 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Kitchen or cooking facilities
s: Kitchen or cooking facilities
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "No, or shared use"
c: 3 -1 "Yes, shared use"
c: 4 -1 "Yes (shared or exclusive use)"
c: 5 -1 "Yes, exclusive use"
I: ROOMS 0 9 -1 9 255 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of rooms
s: Number of rooms
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "1 room"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9+"
I: PLUMBING 0 22 -1 22 256 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Plumbing facilities
s: Plumbing facilities
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "Without complete plumbing"
c: 11 -1 "Lacking only hot water"
c: 12 -1 "Lacking other or all plumbing facilities"
c: 13 -1 "Has some facilities"
c: 14 -1 "Has no facilities"
c: 20 -1 "With complete plumbing"
c: 21 -1 "Used only by household"
c: 22 -1 "Shared with others"
I: HOTWATER 0 3 -1 3 258 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxx.....xx.....xx................
l: Hot and cold piped water
s: Hot and cold piped water
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No piped water"
c: 2 -1 "Cold piped water only"
c: 3 -1 "Hot and cold piped water"
I: SHOWER 0 4 -1 4 259 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxx.....xx.....xx................
l: Bathtub or shower
s: Bathtub or shower
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, no bathtub or shower"
c: 2 -1 "Yes, exclusive use"
c: 3 -1 "Yes, shared use"
c: 4 -1 "Yes (exclusive or shared use)"
I: TOILET 0 4 -1 4 260 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxx.....xx.....xx................
l: Flush toilet
s: Flush toilet
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No indoor flush toilet"
c: 2 -1 "Yes, exclusive use"
c: 3 -1 "Yes, shared use"
c: 4 -1 "Yes (Puerto Rico)"
I: TOILET2 0 7 -2 9 261 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxx.....xx.....xx................
l: Type and location of toilet facilities
s: Type and location of toilet facilities
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No flush toilet"
c: 2 -1 "Privy"
c: 3 -1 "No flush toilet or privy"
c: 4 -1 "Yes, in this house/apartment"
c: 5 -1 "Yes, in this building, shared use"
c: 6 -1 "Yes, outside, exclusive use"
c: 7 -1 "Yes, outside, shared use"
c: "Z" -2 -1 "Z"
I: BASEMENT 0 3 -1 3 262 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxx.................................
l: Basement
s: Basement
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "With a basement"
c: 2 -1 "On a concrete slab"
c: 3 -1 "Built in another way, including mobile homes and trailers"
I: BUILTYR 0 9 -1 9 263 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx..........
l: Age of structure
s: Age of structure
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "0-1 year old"
c: 2 -1 "2-5 years"
c: 3 -1 "6-10 years"
c: 4 -1 "11-20 years"
c: 5 -1 "21-30 years"
c: 6 -1 "31-40 years (31+ in 1960, 1970)"
c: 7 -1 "41-50 years (41+ in 1980)"
c: 8 -1 "51-60 years (51+ in 1990)"
c: 9 -1 "61+ years"
I: HOUSQUAL 0 4 -1 4 264 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x......xxx.....xx.....xx................
l: Condition of housing
s: Condition of housing
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Sound"
c: 2 -1 "Deteriorating"
c: 3 -1 "Dilapidated"
c: 4 -1 "Original construction inadequate (Puerto Rico)"
I: UNITSSTR 0 10 -1 10 265 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Units in structure
s: Units in structure
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Mobile home or trailer"
c: 2 -1 "Boat, tent, van, other"
c: 3 -1 "1-family house, detached"
c: 4 -1 "1-family house, attached"
c: 5 -1 "2-family building"
c: 6 -1 "3-4 family building"
c: 7 -1 "5-9 family building"
c: 8 -1 "10-19 family building"
c: 9 -1 "20-49 family building"
c: 10 -1 "50+ family building"
I: WATERSRC 0 9 -1 9 267 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxxxxxxxxxxxxxxxx................
l: Source of water
s: Source of water
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Public system or private company"
c: 2 -1 "Individual well"
c: 3 -1 "Individual well, drilled"
c: 4 -1 "Individual well, dug"
c: 5 -1 "Other source"
c: 6 -1 "Cistern, tanks, or drums (Puerto Rico)"
c: 7 -1 "Irrigation canal (Puerto Rico)"
c: 8 -1 "Spring or other (Puerto Rico, 1990)"
c: 9 -1 "Other (Puerto Rico, 1970)"
I: SEWAGE 0 3 -1 3 268 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxxxxxxxxxxxxxxxx................
l: Sewage disposal
s: Sewage disposal
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Public sewer"
c: 2 -1 "Septic tank or cesspool"
c: 3 -1 "Other means"
I: BATHRMS 0 9 -1 9 269 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.x...xxxxxxx.....xx................
l: Number of bathrooms
s: Number of bathrooms
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "0 or 1/2 baths"
c: 2 -1 "0"
c: 3 -1 "1/2 bath"
c: 4 -1 "1 complete bathroom"
c: 5 -1 "1 complete bathroom plus 1/2 bath(s)"
c: 6 -1 "2+ complete (1960, 1980, 1990)"
c: 7 -1 "2 (1970)"
c: 8 -1 "2 1/2 (1970)"
c: 9 -1 "3+ (1970)"
I: BEDROOMS 0 6 -1 6 270 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of bedrooms
s: Number of bedrooms
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No bedrooms"
c: 2 -1 "1"
c: 3 -1 "2"
c: 4 -1 "3"
c: 5 -1 "4 (4+ in 1960)"
c: 6 -1 "5+ (1970-2000, ACS, PRCS)"
I: STORIES 0 4 -1 4 271 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x....xxxxx.........................
l: Stories in structure
s: Stories in structure
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "1-3 stories"
c: 2 -1 "4-6 (4+ in 1960)"
c: 3 -1 "7-12 (1970, 1980)"
c: 4 -1 "13+ (1970, 1980)"
I: ELEVATOR 0 2 -1 2 272 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x....xxxxx.........................
l: Elevator in structure
s: Elevator in structure
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, no elevator"
c: 2 -1 "Yes, elevator"
I: PHONE 0 2 -1 2 273 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Telephone availability
s: Telephone availability
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, no phone available"
c: 2 -1 "Yes, phone available"
I: TV 0 3 -1 3 274 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x.xxx..............................
l: Television set
s: Television set
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No TV"
c: 2 -1 "1"
c: 3 -1 "2+"
I: RADIO 0 9 -1 3 275 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x.xxx..............................
l: Radio
s: Radio
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No radio"
c: 2 -1 "1 (1+ in 1970)"
c: 3 -1 "2+"
c: 9 -1 "Missing"
I: RADIO30 1 2 -1 2 276 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............x..........................................
l: Radio, 1930
s: Radio, 1930
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "No radio"
c: 2 -1 "1 radio"
I: WASHER 0 3 -1 3 277 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x..................................
l: Clothes washing machine
s: Clothes washing machine
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No clothes washing machine"
c: 2 -1 "Automatic, semi-automatic, or washer-dryer"
c: 3 -1 "Wringer or separate spinner"
I: DRYER 0 3 -1 3 278 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x..................................
l: Clothes dryer
s: Clothes dryer
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No clothes dryer"
c: 2 -1 "Electrically heated dryer"
c: 3 -1 "Gas heated dryer"
I: FREEZER 0 2 -1 2 279 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x..................................
l: Home food freezer
s: Home food freezer
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No separate freezer"
c: 2 -1 "1 or more"
I: AIRCON 0 4 -1 4 280 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.x...xxxxxxx.......................
l: Air conditioning
s: Air conditioning
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No air conditioning"
c: 2 -1 "1 one-room unit"
c: 3 -1 "2+ one-room units"
c: 4 -1 "Central system"
I: HEATING 0 65 -1 65 281 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxx...xxxxx.........................
l: Heating equipment
s: Heating equipment
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "Not heated"
c: 20 -1 "Steam or hot water system"
c: 30 -1 "Central warm-air furnace (excluding central heat pumps)"
c: 40 -1 "Built-in electric unit (including central heat pumps)"
c: 41 -1 "Electric heat pump"
c: 42 -1 "Other built-in electric units"
c: 50 -1 "Floor, wall, or pipeless furnace"
c: 61 -1 "All Other w/ flue (1960)"
c: 62 -1 "All Other w/out flue (1960)"
c: 63 -1 "Room heater, liquid fuel, with flue (1970-1980)"
c: 64 -1 "Room heater, liquid fuel, without flue (1970-1980)"
c: 65 -1 "Fireplace, coal/wood stove, or portable room heater (1970-19"
I: FUELHEAT 0 9 -1 9 283 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x....xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Home heating fuel
s: Home heating fuel
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No fuel used"
c: 2 -1 "Utility gas from  underground pipes serving neighborhood"
c: 3 -1 "Bottled, tank, or LP gas"
c: 4 -1 "Electricity"
c: 5 -1 "Fuel oil, kerosene, other liquid fuels"
c: 6 -1 "Coal or coke"
c: 7 -1 "Wood"
c: 8 -1 "Solar energy"
c: 9 -1 "Other"
I: AUTOS 0 4 -1 4 284 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxxxxxxxxx.......................
l: Automobiles available
s: Automobiles available
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No automobile"
c: 2 -1 "1"
c: 3 -1 "2"
c: 4 -1 "3+"
I: NFAMS 1 29 0 53 285 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of families in household
s: Number of families in household
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "1 family or N/A"
c: 2 -1 "2 families"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
I: NCOUPLES 0 9 0 9 287 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of married couples in household
s: Number of married couples in household
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "0 couples or N/A"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 9 -1 "9"
I: NMOTHERS 0 6 0 7 288 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of mothers in household
s: Number of mothers in household
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "0 mothers or N/A"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
I: NFATHERS 0 6 0 6 289 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of fathers in household
s: Number of fathers in household
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "0 fathers or N/A"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
I: HIFARM 0 9 -1 9 290 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: Hawaii farm
s: Hawaii farm
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Non-farm"
c: 2 -1 "Farm"
c: 3 -1 "Kuleana"
c: 4 -1 "Homestead lot"
c: 8 -1 "Not classified"
c: 9 -1 "Blank"
I: OWNLAND 0 9 -1 9 291 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Resides on own land, Indian schedules
s: Resides on own land, Indian schedules
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
c: 9 -1 "Blank or unclassifiable"
I: IHOME 0 9 -1 9 292 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Indian home
s: Indian home
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Aboriginal or moveable"
c: 2 -1 "Civilized or fixed"
c: 9 -1 "Blank or unclassifiable"
I: AGENTNUM -1 -1 -1 999 293 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Enumeration agent number
s: Enumeration agent number
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: ENUMYR 0 999 -1 999 296 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: Alaska enumeration year
s: Alaska enumeration year
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable"
c: 899 -1 "1899"
c: 900 -1 "1900"
c: 999 -1 "Blank"
I: ENUMDIST -1 -1 -1 9999 299 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxx..........................................
l: Enumeration district
s: Enumeration district
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: EDSIMIL -1 -1 -1 589745 303 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx........................................
l: Enumeration district match ID
s: Enumeration district match ID
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: SUPDIST -1 -1 -1 999 309 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxx.x.x..........................................
l: Supervisor''s district number
s: Supervisor''s district number
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: SAMPRULE 0 7 -1 7 312 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Sampling rule
s: Sampling rule
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Unoccupied dwelling"
c: 1 -1 "Ordinary dwelling or household"
c: 2 -1 "Household sampled from within large unit"
c: 3 -1 "Related individuals within a large unit"
c: 4 -1 "Individuals within a large unit"
c: 5 -1 "Fragment"
c: 6 -1 "Fragment, entire household located and included in dataset"
c: 7 -1 "All dwellings within a solar"
I: VERIFY 1 2 -1 2 313 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxx..xxxxxxx.xx........................................
l: Verified data record
s: Verified data record
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Unverified data record"
c: 2 -1 "Verified data record"
I: RESPOND 0 7 -1 7 314 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Respondent''s relationship to household  head
s: Respondent''s relationship to household  head
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (Group quarters)"
c: 1 -1 "Household head"
c: 2 -1 "Wife of household head"
c: 3 -1 "Related adult other than spouse"
c: 4 -1 "Related child (under 14 years old)"
c: 5 -1 "Nonrelated adult"
c: 6 -1 "Nonrelated child (under 14 years old)"
c: 7 -1 "No respondent indicated"
I: SUBS4050 -1 -1 -1 20 315 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx........................................
l: Subsample, 1940 and 1950
s: Subsample, 1940 and 1950
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: REEL -1 -1 -1 7011 317 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Microfilm reel number
s: Microfilm reel number
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: PAGENO -1 -1 -1 999 321 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Microfilm page number
s: Microfilm page number
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: LINE -1 -1 -1 104 324 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Line number
s: Line number
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: MICROSEQ -1 -1 -1 9 327 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Microfilm sequence number
s: Microfilm sequence number
c: "." -1 -1 "Not Available for this Year and Data Set"
I: ENUMMO 1 99 -1 99 328 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxx..xxxxxxxx..........................................
l: Month of enumeration
s: Month of enumeration
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "January"
c: 2 -1 "February"
c: 3 -1 "March"
c: 4 -1 "April"
c: 5 -1 "May"
c: 6 -1 "June"
c: 7 -1 "July"
c: 8 -1 "August"
c: 9 -1 "September"
c: 10 -1 "October"
c: 11 -1 "November"
c: 12 -1 "December"
c: 98 -1 "Illegible"
c: 99 -1 "Missing"
I: ENUMDAY 1 99 -1 99 330 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxx..xxxxxxxx..........................................
l: Day of enumeration
s: Day of enumeration
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 31 -1 "31"
c: 98 -1 "Unknown"
c: 99 -1 "Missing"
I: RCVMO 1 99 -1 99 332 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....x....................................................
l: Month census office received form
s: Month census office received form
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "January"
c: 7 -1 "July"
c: 8 -1 "August"
c: 9 -1 "September"
c: 10 -1 "October"
c: 11 -1 "November"
c: 12 -1 "December"
c: 99 -1 "Missing"
I: RCVDAY -1 -1 -1 99 334 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....x....................................................
l: Day census office received form
s: Day census office received form
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: HISP1910 1 9 -1 9 368 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........x..............................................
l: Reason included, Hispanic oversamped cases in 1910
s: Reason included, Hispanic oversamped cases in 1910
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Birthplace"
c: 2 -1 "Language"
c: 3 -1 "Race"
c: 4 -1 "Surname"
c: 5 -1 "Non-Hispanic member of selected household"
c: 9 -1 "Not in the Hispanic oversample"
I: SAMP1900 1 4 -1 4 369 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: Sample components, 1900
s: Sample components, 1900
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "National 1% sample"
c: 2 -1 "Alaskan sample"
c: 3 -1 "Hawaiian sample"
c: 4 -1 "American Indian schedules sample"
I: SAMP1910 1 7 -1 7 370 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Sample components, 1910
s: Sample components, 1910
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "National 1% sample (made by Goeken\Ruggles)"
c: 2 -1 "Alaskan sample"
c: 3 -1 "Hawaiian sample"
c: 4 -1 "American Indian schedules sample"
c: 5 -1 "National 0.4% sample (made by Preston)"
c: 6 -1 "Black oversample"
c: 7 -1 "Hispanic oversample"
I: SAMP1960 0 4 -1 4 371 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.......................................
l: Report form, 1960
s: Report form, 1960
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "20% form, PH3 sample"
c: 2 -1 "20% form, PH4 sample"
c: 3 -1 "5% form, PH3 sample"
c: 4 -1 "5% form, PH4 sample"
I: SOLAR 0 1 -1 1 372 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Solar identifier
s: Solar identifier
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not a solar"
c: 1 -1 "Solar"
I: SOLDWSEQ -1 -1 -1 45 374 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Sequence of dwelling in solar
s: Sequence of dwelling in solar
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: SOLHHSEQ -1 -1 -1 68 377 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Sequence of household in solar
s: Sequence of household in solar
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: SOLRULE 0 4 -1 4 380 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Solares rule
s: Solares rule
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Rejected from the sample using original sampling rules."
c: 1 -1 "Ordinary dwelling or household."
c: 2 -1 "Household sampled from within large unit."
c: 3 -1 "Related individuals within a large unit."
c: 4 -1 "Individuals within a large unit."
I: SOLTOTDW -1 -1 -1 45 381 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Number of dwellings in solar
s: Number of dwellings in solar
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: SOLTOTHH -1 -1 -1 69 384 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Number of households in solar
s: Number of households in solar
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: SOLTOTI -1 -1 -1 278 387 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Number of individuals in solar
s: Number of individuals in solar
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: QCITY -1 -1 -1 2 390 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxx.x...........................................
l: Flag for City, Citypop, Urban, Sizepl, Prcityco
s: Flag for City, Citypop, Urban, Sizepl, Prcityco
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOUNTY -1 -1 -1 2 391 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Flag for Prcounty
s: Flag for Prcounty
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QGQ -1 -1 -1 6 392 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxx.xxxxxxxxxxxxxxxx.......................
l: Flag for Gq
s: Flag for Gq
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QGQTYPE -1 -1 -1 8 393 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxx...xxxxx.xxxx.xxxxxxxxxxxxxxxx.......................
l: Flag for Gqtype
s: Flag for Gqtype
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QGQFUNDS -1 -1 -1 4 394 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx...................................................
l: Flag for Gqfunds
s: Flag for Gqfunds
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QACRENF -1 -1 -1 6 395 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Acrenonf
s: Flag for Acrenonf
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFARM -1 -1 -1 6 396 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxxxx........................................
l: Flag for Farm
s: Flag for Farm
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFBUSINC -1 -1 -1 7 397 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Fbusinc
s: Flag for Fbusinc
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFOTHINC -1 -1 -1 7 398 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Fothinc
s: Flag for Fothinc
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFTOTINC -1 -1 -1 8 399 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xx.......................................
l: Flag for Ftotinc
s: Flag for Ftotinc
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFWAGE1 -1 -1 -1 6 400 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Fwage1
s: Flag for Fwage1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFWAGE2 -1 -1 -1 7 401 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Fwage2
s: Flag for Fwage2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMORTGAG -1 -1 -1 5 402 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxx.x..........xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Mortgage
s: Flag for Mortgage
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QOWNERSH -1 -1 -1 9 403 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxxx..xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Ownershp
s: Flag for Ownershp
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRENT -1 -1 -1 9 404 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x..xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Rent, Rent30
s: Flag for Rent, Rent30
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVALUEH -1 -1 -1 6 405 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x..xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Valueh
s: Flag for Valueh
c: "." -1 -1 "Not Available for this Year and Data Set"
I: CNTYGP97 15101 15500 -1 15500 406 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....................xx...x...............................
l: County group, 1970
s: County group, 1970
c: "....." -1 -1 "Not Available for this Year and Data Set"
c: 15101 -1 ""
c: 15102 -1 ""
c: 15103 -1 ""
c: 15200 -1 ""
c: 15300 -1 ""
c: 15400 -1 ""
c: 15500 -1 ""
I: CNTYGP98 -1 -1 -1 998 411 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xx...xx.......................
l: County group, 1980
s: County group, 1980
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: CONSPUMA -1 -1 -1 542 414 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................x......x.x....x.x.......x.x.x.
l: Consistent Public Use Microdata Area
s: Consistent Public Use Microdata Area
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: LMA -1 -1 -1 394 417 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................x.......x..................
l: Labor Market Area
s: Labor Market Area
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: COMZONE -1 -1 -1 38200 420 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................x..........................
l: Commuting Zone within Labor Market Area
s: Commuting Zone within Labor Market Area
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: URBTYPE 0 4 -1 4 425 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..............................x...........................
l: Urbanized area type
s: Urbanized area type
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Central City"
c: 2 -1 "Urban fringe"
c: 3 -1 "Urban"
c: 4 -1 "Rural"
I: URBSIZE 0 9 -1 9 426 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Size of urbanized area
s: Size of urbanized area
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Outside place 1,000+ (in Puerto Rico:  Rural, size of place "
c: 1 -1 "In places of 1,000+"
c: 2 -1 "In place of 2,500 - 9,999 (in Puerto Rico:  Urban, size of p"
c: 3 -1 "In place of 10,000 - 49,999"
c: 4 -1 "50,000 - 499,999 (in Puerto Rico:  50,000-250,000)"
c: 5 -1 "500,000 - 999,999 (in Puerto Rico:  250,000+)"
c: 6 -1 "1,000,000+"
c: 7 -1 "50,000 - 499,999 (in Puerto Rico:  50,000+)"
c: 8 -1 "500,000 - 999,999"
c: 9 -1 "1,000,000+"
I: URBRURAL 1 13 -1 13 427 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................................x.........................
l: Detailed Urban/Rural Classification
s: Detailed Urban/Rural Classification
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "In SMSA greater than 500,000, Central City"
c: 2 -1 "In SMSA greater than 500,000, Urban Fringe or Other Urban"
c: 3 -1 "In SMSA greater than 500,000, Rural"
c: 4 -1 "In SMSA less than 500,000, Central City"
c: 5 -1 "In SMSA less than 500,000, Urban Fringe"
c: 6 -1 "In SMSA less than 500,000, Other Urban"
c: 7 -1 "In SMSA less than 500,000, Rural"
c: 8 -1 "Outside any SMSA, In Urbanized Area or Places 25,000+"
c: 9 -1 "Outside any SMSA, In Places 10,000 - 24,999"
c: 10 -1 "Outside any SMSA, In Places 5,000 - 9,999"
c: 11 -1 "Outside any SMSA, In places 2,500 - 4,999"
c: 12 -1 "Outside any SMSA, In places less than 2,500"
c: 13 -1 "Outside any SMSA, Other Rural places"
I: URBFRYN 0 2 -1 2 429 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................................x.........................
l: Urban Fringe
s: Urban Fringe
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Yes"
c: 2 -1 "No"
I: OTHURBYN 0 2 -1 2 430 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................................x.........................
l: Urbanized Area
s: Urbanized Area
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Yes"
c: 2 -1 "No"
I: RURALYN 0 2 -1 2 431 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................................x.........................
l: Size of Nonmetropolitan Place
s: Size of Nonmetropolitan Place
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (New England census region)"
c: 1 -1 "In place less than 1000 outside any SMSA"
c: 2 -1 "Not in nonmetropolitan place less than 1000"
I: LANDOWN 0 3 -1 3 432 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx.....xx.......................
l: Own or rent the land, Puerto Rico
s: Own or rent the land, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Owned or in the process of being bought"
c: 2 -1 "Rented for cash rent"
c: 3 -1 "Does not pay rent for use of the land"
I: LANDRNPR -1 -1 -1 500 433 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx.....xx.......................
l: Amount paid for land rent, Puerto Rico
s: Amount paid for land rent, Puerto Rico
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: MORTGAG2 0 5 -1 5 436 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Second mortgage status
s: Second mortgage status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
c: 3 -1 "Yes, 2nd mortgage"
c: 4 -1 "Yes, home equity loan"
c: 5 -1 "Yes, 2nd mortgage and home equity loan"
I: GROWNPR 0 2 -1 2 437 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Produce fruits, vegetables, or livestock for home consumptio
s: Produce fruits, vegetables, or livestock for home consumptio
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A."
c: 1 -1 "No"
c: 2 -1 "Yes"
I: ACREHOUS 0 6 -1 6 438 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.....xxxxx.xxxxxxxxxxxx
l: House acreage
s: House acreage
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "House on less than 10 acres"
c: 2 -1 "House on 10 acres or more"
c: 3 -1 "House on less than 3 cuerdas (1980-1990)"
c: 4 -1 "House on 3+ cuerdas (1980-1990)"
c: 5 -1 "House on less than 10 cuerdas (2000 and PRCS)"
c: 6 -1 "House on 10 or more cuerdas (2000 and PRCS)"
I: MORTOTAL -1 -1 -1 1500 439 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.......................
l: Total monthly mortgage payment
s: Total monthly mortgage payment
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: TAXINCL 0 2 -1 2 443 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Mortgage payment includes property taxes
s: Mortgage payment includes property taxes
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: INSINCL 0 2 -1 2 444 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxx.xxxxxxxxxxxx
l: Mortgage payment includes property insurance
s: Mortgage payment includes property insurance
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes, payment includes insurance premiums"
I: PROPTXIN -1 -1 -1 3000 445 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.......................
l: Annual property tax and insurance cost
s: Annual property tax and insurance cost
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: OWNCSTPR -1 -1 -1 1200 449 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.......................
l: Selected monthly owner costs, Puerto Rico
s: Selected monthly owner costs, Puerto Rico
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: CONDO 0 2 -1 2 453 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxxxxxxxxxxxxxxxx...........
l: Condominium status
s: Condominium status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Not a condominium unit"
c: 2 -1 "Condominium unit"
I: COSTELEC -1 -1 -1 9998 454 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Annual electricity cost
s: Annual electricity cost
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: COSTGAS -1 -1 -1 9998 458 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Annual gas cost
s: Annual gas cost
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: COSTWATR -1 -1 -1 9998 462 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Annual water cost
s: Annual water cost
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: COSTFUEL -1 -1 -1 9998 466 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Annual home heating fuel cost
s: Annual home heating fuel cost
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: HHINCOME -1 -1 -40244 999999 470 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Total household income
s: Total household income
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: VACANCY 0 9 -1 9 476 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Vacancy status
s: Vacancy status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "For rent or sale"
c: 2 -1 "For sale only"
c: 3 -1 "Rented or sold but not (yet) occupied"
c: 4 -1 "For seasonal, recreational or other occasional use"
c: 5 -1 "For occasional use"
c: 6 -1 "For seasonal use"
c: 7 -1 "For migrant farm workers"
c: 8 -1 "For seasonal use or migratory"
c: 9 -1 "Other vacant"
I: VACELSE 0 4 -1 4 477 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxx................
l: Vacant, usual home elsewhere
s: Vacant, usual home elsewhere
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Usual home elsewhere (1980)"
c: 2 -1 "Usual home elsewhere, owns unit presently occupied"
c: 3 -1 "Usual home elsewhere, rent unit presently occupied"
c: 4 -1 "Usual home elsewhere, ownership undetermined"
I: VACBOARD 0 2 -1 2 478 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxx................
l: Boarded-up status
s: Boarded-up status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, not boarded up"
c: 2 -1 "Yes, boarded up"
I: VACDUR 0 6 -1 6 479 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxx................
l: Duration of vacancy
s: Duration of vacancy
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Less than 1 month"
c: 2 -1 "1-2 months"
c: 3 -1 "2-6 months"
c: 4 -1 "6-12 months"
c: 5 -1 "12-24 months"
c: 6 -1 "More than 24 months"
I: SECHOME 0 2 -1 2 480 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x..................................
l: Second home
s: Second home
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, does not own a second home"
c: 2 -1 "Yes, owns a second home"
I: KITPIPPR 0 2 -1 2 481 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Kitchen sink with piped water, Puerto Rico
s: Kitchen sink with piped water, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A."
c: 1 -1 "No"
c: 2 -1 "Yes"
I: COOKLOPR 0 4 -1 4 482 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Location of cooking facilities, Puerto Rico
s: Location of cooking facilities, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "n/a"
c: 1 -1 "In this structure"
c: 2 -1 "In another structure"
c: 3 -1 "Outdoors"
c: 4 -1 "No cooking facilities"
I: COOKTYPR 0 3 -1 3 483 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Type of cooking facilities, Puerto Rico
s: Type of cooking facilities, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Range or cookstove"
c: 2 -1 "Portable cooking facilities"
c: 3 -1 "No cooking facilities"
I: ELECTRPR 0 2 -1 2 484 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx.....xx.......................
l: Electric Lighting, Puerto Rico
s: Electric Lighting, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: PIPLOCPR 0 4 -1 4 485 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Location of Piped Water, Puerto Rico
s: Location of Piped Water, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A."
c: 1 -1 "In this structure"
c: 2 -1 "Outside structure, on property"
c: 3 -1 "Outside structure, on street, road, or highway"
c: 4 -1 "No piped water"
I: HOTWTRPR 0 5 -1 5 486 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....xx................
l: Type of water heater, Puerto Rico
s: Type of water heater, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "None / No tank type water heater"
c: 2 -1 "Electric, tank type"
c: 3 -1 "Shower"
c: 4 -1 "Solar"
c: 5 -1 "Other"
I: CONSTYPR 0 6 -1 6 487 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx.....xx.....xx................
l: Type of construction material, Puerto Rico
s: Type of construction material, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Masonry or concrete walls - concrete slab roof"
c: 2 -1 "Masonry or concrete walls - wood frame roof"
c: 3 -1 "Wood frame walls - masonry foundation"
c: 4 -1 "Wood frame walls - wood base or wood stilt foundation"
c: 5 -1 "Mixed concrete and wood walls"
c: 6 -1 "Other type of construction"
I: UNITSADD 0 11 -1 11 488 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxx.........................
l: Units at address
s: Units at address
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "1 unit (apartment or living quarters)"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10+"
c: 11 -1 "Mobile home or trailer"
I: OFFICEPR 0 4 -1 4 490 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....xx................
l: Medical, professional or other office use of property, Puert
s: Medical, professional or other office use of property, Puert
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A."
c: 1 -1 "No medical or other office use"
c: 2 -1 "Medical office only"
c: 3 -1 "Other type of office only"
c: 4 -1 "Both medical and other offices on property"
I: UHF 0 2 -1 2 491 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x..................................
l: UHF-equipped television set
s: UHF-equipped television set
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: DISHWSHR 0 2 -1 2 492 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x..................................
l: Dishwasher
s: Dishwasher
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No dishwasher"
c: 2 -1 "Built-in or portable dishwasher"
I: FRIGTYPR 0 3 -1 3 493 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Type of Refrigerator, Puerto Rico
s: Type of Refrigerator, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "n/a"
c: 1 -1 "Mechanical (electric or gas)"
c: 2 -1 "Ice"
c: 3 -1 "No refrigerator"
I: FUELCOOK 0 10 -1 9 494 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x.xxxxxxxxxx.....xx................
l: Cooking fuel
s: Cooking fuel
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No fuel used"
c: 2 -1 "Utility gas from  underground pipes serving neighborhood"
c: 3 -1 "Bottled, tank, or LP gas"
c: 4 -1 "Gas, type not specified"
c: 5 -1 "Electricity"
c: 6 -1 "Fuel oil, kerosene, and other liquid fuels"
c: 7 -1 "Coal or coke"
c: 8 -1 "Charcoal"
c: 9 -1 "Wood"
c: 10 -1 "Other"
I: FUELWATR 0 8 -1 8 495 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x....xxxxx.........................
l: Water heating fuel
s: Water heating fuel
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No fuel used"
c: 2 -1 "Utility gas from underground pipes serving neighborhood"
c: 3 -1 "Bottled, tank, or LP gas"
c: 4 -1 "Electricity"
c: 5 -1 "Fuel oil, kerosene, and other liquid fuels"
c: 6 -1 "Coal or coke"
c: 7 -1 "Wood"
c: 8 -1 "Other"
I: TRUCKS 0 4 -1 4 496 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.......................
l: Trucks and vans available
s: Trucks and vans available
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No trucks or vans"
c: 2 -1 "1 available"
c: 3 -1 "2"
c: 4 -1 "3+"
I: NPOP17 -1 -1 -1 91 497 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Population age 0-17 (total population)
s: Population age 0-17 (total population)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NPOP65 -1 -1 -1 94 499 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Population age 65+ (total population)
s: Population age 65+ (total population)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NPOPHH -1 -1 -1 93 501 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Population in households (total households)
s: Population in households (total households)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NPOPIND -1 -1 -1 91 503 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Primary individuals (total households)
s: Primary individuals (total households)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NPOPGQ -1 -1 -1 99 505 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Population in group quarters, including inmates (total popul
s: Population in group quarters, including inmates (total popul
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NFAMFEMH -1 -1 -1 98 507 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Families with female head (total families)
s: Families with female head (total families)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: N17HWFAM -1 -1 -1 99 509 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 0-17 in husband-wife families (total persons age
s: Persons age 0-17 in husband-wife families (total persons age
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NSEPDIV -1 -1 -1 97 511 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Separated and divorced population (married population)
s: Separated and divorced population (married population)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NCHBORN -1 -1 -1 92 513 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Children ever born to ever-married females age 35-44 (total 
s: Children ever born to ever-married females age 35-44 (total 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NBLACK -1 -1 -1 99 515 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Black population (total population)
s: Black population (total population)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NSPANISH -1 -1 -1 99 517 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Persons of Spanish heritage (total population)
s: Persons of Spanish heritage (total population)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NFOREIGN -1 -1 -1 93 519 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons of foreign stock (total population)
s: Persons of foreign stock (total population)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NNOSCHL -1 -1 -1 91 521 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 16-21 not enrolled in school and not high school
s: Persons age 16-21 not enrolled in school and not high school
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NPOP1621 -1 -1 -1 99 523 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Population age 16-21 (total population)
s: Population age 16-21 (total population)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NCOLL -1 -1 -1 99 525 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 3-34 enrolled in college (persons age 18-21)
s: Persons age 3-34 enrolled in college (persons age 18-21)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NEDUC7 -1 -1 -1 98 527 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 25-54 with 0-7 years of school completed (total 
s: Persons age 25-54 with 0-7 years of school completed (total 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NEDUC12 -1 -1 -1 99 529 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 25-54 with 12+ years of school completed (total 
s: Persons age 25-54 with 12+ years of school completed (total 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NCOLL4 -1 -1 -1 91 531 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 25-64 with 4+ years of college completed (total 
s: Persons age 25-64 with 4+ years of college completed (total 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NEDUCMED -1 -1 -1 97 533 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Median years of school completed for persons age 25-54
s: Median years of school completed for persons age 25-54
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NSAMHOUS -1 -1 -1 98 535 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 5+ living in same house 5 years ago (total perso
s: Persons age 5+ living in same house 5 years ago (total perso
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NDIFCNTY -1 -1 -1 98 537 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 5+ living in different county (or municipio) 5 y
s: Persons age 5+ living in different county (or municipio) 5 y
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NLFPM -1 -1 -1 98 539 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Male civilian labor force age 16+ (total civilian males age 
s: Male civilian labor force age 16+ (total civilian males age 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NLFPF -1 -1 -1 99 541 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Female civilian labor force age 16+ (total civilian females 
s: Female civilian labor force age 16+ (total civilian females 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NNOWORK -1 -1 -1 99 543 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons age 16-21 not in school, not employed or not in labo
s: Persons age 16-21 not in school, not employed or not in labo
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NUNEMP -1 -1 -1 93 545 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Unemployed persons age 16+ (total civilian labor force age 1
s: Unemployed persons age 16+ (total civilian labor force age 1
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NPROFMGR -1 -1 -1 95 547 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Employed professional and kindred workers, and managers and 
s: Employed professional and kindred workers, and managers and 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NAGRIC -1 -1 -1 96 549 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Employed farmers, farm managers, farm laborers, and farm for
s: Employed farmers, farm managers, farm laborers, and farm for
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NBLUE -1 -1 -1 95 551 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Employed blue collar workers -- crafts, operatives, nonfarm 
s: Employed blue collar workers -- crafts, operatives, nonfarm 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NFINC5 -1 -1 -1 86 553 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Families with less than $5,000 family income (total families
s: Families with less than $5,000 family income (total families
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NFINC15 -1 -1 -1 92 555 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Families with $15,000 or more family income (total families)
s: Families with $15,000 or more family income (total families)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NMEDINC -1 -1 -1 95 557 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Median family income, in thousands of dollars
s: Median family income, in thousands of dollars
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NGINI -1 -1 -1 99 559 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Gini index of income concentration
s: Gini index of income concentration
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NFAMPOV -1 -1 -1 99 561 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Families with income below the poverty level (total families
s: Families with income below the poverty level (total families
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NPOPPOV -1 -1 -1 99 563 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Persons with income below the poverty level (total populatio
s: Persons with income below the poverty level (total populatio
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NOWNEROC -1 -1 -1 99 565 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Owner-occupied units (total occupied units)
s: Owner-occupied units (total occupied units)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NOCCUP -1 -1 -1 93 567 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Occupied units with 1.01 or more persons per room (total occ
s: Occupied units with 1.01 or more persons per room (total occ
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NOCCPLUM -1 -1 -1 98 569 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Occupied units with all plumbing facilities and with 1.01 or
s: Occupied units with all plumbing facilities and with 1.01 or
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NOCCNOPL -1 -1 -1 98 571 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Occupied units lacking some or all plumbing facilities (tota
s: Occupied units lacking some or all plumbing facilities (tota
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NVALUE10 -1 -1 -1 99 573 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Owner-occupied units valued at less than $10,000 (total owne
s: Owner-occupied units valued at less than $10,000 (total owne
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NVALUE25 -1 -1 -1 99 575 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Owner-occupied units valued at $25,000 and over (total owner
s: Owner-occupied units valued at $25,000 and over (total owner
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NRENT40 -1 -1 -1 91 577 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Renter-occupied units with gross monthly rent less than $40 
s: Renter-occupied units with gross monthly rent less than $40 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NRENT60 -1 -1 -1 98 579 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Renter-occupied units with gross monthly rent less than $60 
s: Renter-occupied units with gross monthly rent less than $60 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NRENT150 -1 -1 -1 99 581 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Renter-occupied units with gross monthly rent $150 or more (
s: Renter-occupied units with gross monthly rent $150 or more (
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NRATIO25 -1 -1 -1 97 583 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Units with gross rent-income ratio of .25 or more (total ren
s: Units with gross rent-income ratio of .25 or more (total ren
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NRATIO35 -1 -1 -1 93 585 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Units with gross rent-income ratio of .35 or more (total ren
s: Units with gross rent-income ratio of .35 or more (total ren
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NVACANT -1 -1 -1 92 587 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Vacant units -- year round (total units -- year round)
s: Vacant units -- year round (total units -- year round)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NVACRENT -1 -1 -1 99 589 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Vacant for rent and vacant for sale (total units -- year rou
s: Vacant for rent and vacant for sale (total units -- year rou
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NUNITS1 -1 -1 -1 99 591 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Units in one-unit structures (total units -- year round)
s: Units in one-unit structures (total units -- year round)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NUNITS5 -1 -1 -1 99 593 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Units in structures of 5 or more units (total units -- year 
s: Units in structures of 5 or more units (total units -- year 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: N12ROOMS -1 -1 -1 97 595 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: 1- and 2-room units (total units -- year round)
s: 1- and 2-room units (total units -- year round)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NTOTROOM -1 -1 -1 99 597 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Total rooms in all units (total units -- year round) --  ran
s: Total rooms in all units (total units -- year round) --  ran
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NBUILT60 -1 -1 -1 99 599 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Units built 1960 or later (total units -- year round)
s: Units built 1960 or later (total units -- year round)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NBUILT39 -1 -1 -1 99 601 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Units built 1939 or earlier (total units -- year round)
s: Units built 1939 or earlier (total units -- year round)
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NHEAT -1 -1 -1 99 603 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx.................................
l: Units with steam or hot water, central warm-air furnace, bui
s: Units with steam or hot water, central warm-air furnace, bui
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NAUTO -1 -1 -1 99 605 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Households with one or more cars (total number of households
s: Households with one or more cars (total number of households
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NSERIAL -1 -1 -1 49932 607 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .......................xx..x..............................
l: Serial number of first household in the neighborhood
s: Serial number of first household in the neighborhood
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: N5OFFPR -1 -1 -1 93 612 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Population living outside of Puerto Rico 5 years ago
s: Population living outside of Puerto Rico 5 years ago
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NDILAPPR -1 -1 -1 98 614 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Proportion of owner-occupied units deteriorating, dilapidate
s: Proportion of owner-occupied units deteriorating, dilapidate
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NFINC1PR -1 -1 -1 96 616 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Proportion of families with less than $1,000 family income, 
s: Proportion of families with less than $1,000 family income, 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NFINC6PR -1 -1 -1 99 618 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Proportion of families with $6,000 or more family income, Pu
s: Proportion of families with $6,000 or more family income, Pu
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NILLITPR -1 -1 -1 91 620 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Population 10 Years Old and over unable to read and write, P
s: Population 10 Years Old and over unable to read and write, P
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NRN20PR -1 -1 -1 98 622 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Proportion of renter-occupied units with gross monthly rent 
s: Proportion of renter-occupied units with gross monthly rent 
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NRN40PR -1 -1 -1 95 624 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Proportion of renter-occupied units with gross  monthly rent
s: Proportion of renter-occupied units with gross  monthly rent
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NRN100PR -1 -1 -1 96 626 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Proportion of renter-occupied units with gross  monthly rent
s: Proportion of renter-occupied units with gross  monthly rent
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NVAL2PR -1 -1 -1 98 628 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Proportion of owner-occupied units valued at less than $2,00
s: Proportion of owner-occupied units valued at less than $2,00
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: NVAL15PR -1 -1 -1 93 630 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........................x..............................
l: Proportion of owner-occupied units valued at $15,000 and ove
s: Proportion of owner-occupied units valued at $15,000 and ove
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: QCLOSEOU -1 -1 -1 6 632 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx..............................
l: Flag for closeout household record
s: Flag for closeout household record
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSUBSTIH -1 -1 -1 6 633 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx............xxxxxxx...........
l: Flag for substituted household
s: Flag for substituted household
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QACREHOU -1 -1 -1 5 634 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.....xxxxxxxxxxxxx.x.x.
l: Flag for Acrehous
s: Flag for Acrehous
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QACREPRO -1 -1 -1 5 635 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxxxxxxxxxxxxxxxx...........
l: Flag for Acreprop, Farm
s: Flag for Acreprop, Farm
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOMMUSE -1 -1 -1 5 636 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Commuse
s: Flag for Commuse
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCONDO -1 -1 -1 9 637 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxxxxxxxxxxxxxxxx...........
l: Flag for Condo
s: Flag for Condo
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOSTEL2 -1 -1 -1 5 638 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx..............................
l: Flag for Costelec
s: Flag for Costelec
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOSTELE -1 -1 -1 9 639 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Costelec
s: Flag for Costelec
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOSTFU2 -1 -1 -1 5 640 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx..............................
l: Data quality flag for COSTFUEL
s: Data quality flag for COSTFUEL
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOSTFUE -1 -1 -1 9 641 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Costfuel
s: Flag for Costfuel
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOSTGAS -1 -1 -1 9 642 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Costgas
s: Flag for Costgas
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOSTWA2 -1 -1 -1 5 643 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx..............................
l: Flag for Costwatr
s: Flag for Costwatr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOSTWAT -1 -1 -1 9 644 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Costwatr
s: Flag for Costwatr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFARMPRO -1 -1 -1 5 645 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Farmprod, Farm
s: Flag for Farmprod, Farm
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QGROWNPR -1 -1 -1 5 646 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Data Quality Flag for GROWNPR (Produce fruits, vegetables, o
s: Data Quality Flag for GROWNPR (Produce fruits, vegetables, o
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QINSINCL -1 -1 -1 5 647 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Insrincl
s: Flag for Insrincl
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QLANDOWN -1 -1 -1 4 648 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........................xxxx.....xx.......................
l: First Data Quality Flag for LANDOWN
s: First Data Quality Flag for LANDOWN
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QLANDOW2 -1 -1 -1 5 649 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx.....xx.......................
l: Second Data Quality Flag for LANDOWN
s: Second Data Quality Flag for LANDOWN
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QLANDRNP -1 -1 -1 5 650 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Data Quality Flag for LANDRNPR (Amount paid in landrent, Pue
s: Data Quality Flag for LANDRNPR (Amount paid in landrent, Pue
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMORTGA2 -1 -1 -1 4 651 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Mortgag2
s: Flag for Mortgag2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMORTOTA -1 -1 -1 4 652 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.......................
l: Flag for Mortotal
s: Flag for Mortotal
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QPROPTX2 -1 -1 -1 4 653 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.......................
l: Flag for Proptxin
s: Flag for Proptxin
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QPROPTXI -1 -1 -1 4 654 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxx.x.......................
l: Flag for Proptxin
s: Flag for Proptxin
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRENTGRS -1 -1 -1 3 655 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx..............................
l: Flag for Rentgrs
s: Flag for Rentgrs
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QTAXINCL -1 -1 -1 5 656 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Taxincl
s: Flag for Taxincl
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSECHOME -1 -1 -1 4 657 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x..................................
l: Flag for Sechome
s: Flag for Sechome
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVACANC2 -1 -1 -1 5 658 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.......................
l: Flag for Vacancy
s: Flag for Vacancy
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVACANCY -1 -1 -1 5 659 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Vacancy
s: Flag for Vacancy
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVACBOAR -1 -1 -1 5 660 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxx................
l: Flag for Vacboard
s: Flag for Vacboard
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVACDUR -1 -1 -1 5 661 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxx................
l: Flag for Vacdur
s: Flag for Vacdur
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QACCESS -1 -1 -1 5 662 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxx.......................
l: Flag for Access
s: Flag for Access
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBASEMEN -1 -1 -1 4 663 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx.................................
l: Flag for Basement
s: Flag for Basement
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBATHRMS -1 -1 -1 5 664 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................x.x.x...xxxxxxx.......................
l: Flag for Bathrms
s: Flag for Bathrms
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBEDROOM -1 -1 -1 5 665 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Bedrooms
s: Flag for Bedrooms
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBUILTYR -1 -1 -1 6 666 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxx..........
l: Flag for Builtyr
s: Flag for Builtyr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCONSTYP -1 -1 -1 4 667 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....x.................
l: Data Quality Flag for CONSTYPR (Type of construction materia
s: Data Quality Flag for CONSTYPR (Type of construction materia
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOOKLOP -1 -1 -1 4 668 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Data Quality Flag for COOKLOPR (Location of cooking faciliti
s: Data Quality Flag for COOKLOPR (Location of cooking faciliti
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCOOKTYP -1 -1 -1 4 669 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Data quality flag for COOKTYP, Puerto Rico samples
s: Data quality flag for COOKTYP, Puerto Rico samples
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QELECTRP -1 -1 -1 5 670 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.......................
l: Data Quality Flag for ELECTRPR (Electric lights, Puerto Rico
s: Data Quality Flag for ELECTRPR (Electric lights, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QELEVATO -1 -1 -1 5 671 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x....xxxxx.........................
l: Flag for Elevator
s: Flag for Elevator
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFRIGTYP -1 -1 -1 3 672 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Data Quality Flag for FRIGTYPR (Type of refrigerator, Puerto
s: Data Quality Flag for FRIGTYPR (Type of refrigerator, Puerto
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFREEZER -1 -1 -1 5 673 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x..................................
l: Flag for Freezer
s: Flag for Freezer
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QHOTWATE -1 -1 -1 5 674 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx.....xx.....xx................
l: Flag for Hotwater
s: Flag for Hotwater
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QKITCHEN -1 -1 -1 5 675 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Kitchen
s: Flag for Kitchen
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QKITPIPP -1 -1 -1 5 676 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Data Quality Flag for KITPIPPR (Kitchen sink with piped wate
s: Data Quality Flag for KITPIPPR (Kitchen sink with piped wate
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QOFFICEP -1 -1 -1 6 677 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....xx................
l: Data Quality Flag for OFFICEPR (Medical or other professiona
s: Data Quality Flag for OFFICEPR (Medical or other professiona
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QPLUMBIN -1 -1 -1 4 678 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Flag for Plumbing
s: Flag for Plumbing
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QROOMS -1 -1 -1 4 679 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Rooms
s: Flag for Rooms
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSEWAGE -1 -1 -1 5 680 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................x.x.xxxxxxxxxxxxxxxxxx................
l: Flag for Sewage
s: Flag for Sewage
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSHOWER -1 -1 -1 5 681 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx..............................
l: Flag for Shower
s: Flag for Shower
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSHOWRPR -1 -1 -1 5 682 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....xx................
l: Data quality flag for SHOWER, Puerto Rico samples
s: Data quality flag for SHOWER, Puerto Rico samples
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSTORIES -1 -1 -1 5 683 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x....xxxxx.........................
l: Flag for Stories
s: Flag for Stories
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QTOILET -1 -1 -1 5 684 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxx..............................
l: Flag for Toilet
s: Flag for Toilet
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QTOILET2 -1 -1 -1 4 685 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Data Quality Flag for TOILET2 (Type and location of toilet)
s: Data Quality Flag for TOILET2 (Type and location of toilet)
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QTOILEPR -1 -1 -1 5 686 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....xx................
l: Data quality flag for TOILETPR, Puerto Rico samples
s: Data quality flag for TOILETPR, Puerto Rico samples
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QUNITSAD -1 -1 -1 5 687 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxx.........................
l: Flag for Unitsadd
s: Flag for Unitsadd
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QUNITSST -1 -1 -1 5 688 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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I: QWATERSR -1 -1 -1 5 689 1
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c: "." -1 -1 "Not Available for this Year and Data Set"
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c: 55200 -1 ""
c: 55300 -1 ""
c: 55400 -1 ""
c: 55500 -1 ""
c: 55600 -1 ""
c: 55700 -1 ""
c: 55800 -1 ""
c: 55900 -1 ""
c: 56100 -1 ""
c: 72100 -1 ""
c: 72200 -1 ""
c: 72300 -1 ""
c: 72400 -1 ""
c: 72500 -1 ""
c: 72600 -1 ""
c: 72700 -1 ""
c: 72800 -1 ""
I: PUMATYPE 10 82 -1 82 715 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxx...................
l: PUMA type
s: PUMA type
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 10 -1 "Central city"
c: 11 -1 "Central city part"
c: 20 -1 "MSA/PMSA - outside central city"
c: 21 -1 "MSA/PMSA - outside central city part 21"
c: 22 -1 "Central city (part) and outside central city (part)"
c: 30 -1 "Entire MSA"
c: 31 -1 "2 or more MSAs/PMSAs"
c: 40 -1 "Mixed MSA/PMSA/non-MSA/PMSA"
c: 50 -1 "Outside MSA/PMSA"
c: 60 -1 "Census designated place"
c: 61 -1 "Place - part"
c: 70 -1 "Minor Civil Divisions/towns"
c: 80 -1 "Counties/independent cities (2 or more)"
c: 81 -1 "County/independent city - part"
c: 82 -1 "County/independent city"
I: PUMATY00 11 90 -1 90 717 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........................................xxxxx...........
l: PUMA type, 2000
s: PUMA type, 2000
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 11 -1 "Inside central city, fully-identified MSA"
c: 12 -1 "Outside central city, fully-identified MSA"
c: 13 -1 "Inside and outside central city, fully-identified MSA"
c: 14 -1 "Contains entire MSA only"
c: 21 -1 "Inside central city, partially-identified MSA"
c: 22 -1 "Outside central city, partially-identified MSA"
c: 23 -1 "Inside and outside central city, partially-identified MSA"
c: 31 -1 "Inside central city, fully-identified PMSA and CMSA"
c: 32 -1 "Outside central city, fully-identified PMSA and CMSA"
c: 33 -1 "Inside and outside central city, fully-identified PMSA and C"
c: 34 -1 "Contains entire PMSA only, fully-identified PMSA and CMSA"
c: 41 -1 "Inside central city, fully-identified PMSA, partial CMSA"
c: 42 -1 "Outside central city, fully-identified PMSA, partial CMSA"
c: 43 -1 "Inside and outside central city, fully-identified PMSA, part"
c: 44 -1 "Contains an entire PMSA only, fully-identified PMSA, partial"
c: 51 -1 "Inside central city, partially-identified PMSA and CMSA"
c: 52 -1 "Outside central city, partially-identified PMSA and CMSA"
c: 53 -1 "Both inside and outside central city, partially-identified P"
c: 70 -1 "Contains both metro and non-metro territory"
c: 80 -1 "Contains only metro territory in 2 or more metros"
c: 90 -1 "Contains only nonmetro territory"
I: MORTAMT1 -1 -1 -1 9076 747 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: First mortgage monthly payment
s: First mortgage monthly payment
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: MORTAMT2 -1 -1 -1 8619 752 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Second mortgage monthly payment
s: Second mortgage monthly payment
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: PROPINSR -1 -1 -1 9861 756 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Annual property insurance cost
s: Annual property insurance cost
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: PROPTX99 0 69 -1 69 760 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Annual property taxes, 1990
s: Annual property taxes, 1990
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (GQ/vacant/not owned  or being bought/not a one-family h"
c: 1 -1 "None"
c: 2 -1 "$1-49  ($2-49 in 1990 PR Samples)"
c: 3 -1 "$ 50 - 99"
c: 4 -1 "$ 100 - 149"
c: 5 -1 "$ 150 - 199"
c: 6 -1 "$ 200 - 249"
c: 7 -1 "$ 250 - 299"
c: 8 -1 "$ 300 - 349"
c: 9 -1 "$ 350 - 399"
c: 10 -1 "$ 400 - 449"
c: 11 -1 "$ 450 - 499"
c: 12 -1 "$ 500 - 549"
c: 13 -1 "$ 550 - 599"
c: 14 -1 "$ 600 - 649"
c: 15 -1 "$ 650 - 699"
c: 16 -1 "$ 700 - 749"
c: 17 -1 "$ 750 - 799"
c: 18 -1 "$ 800 - 849"
c: 19 -1 "$ 850 - 899"
c: 20 -1 "$ 900 - 949"
c: 21 -1 "$ 950 - 999"
c: 22 -1 "$ 1,000 - 1,099"
c: 23 -1 "$ 1,100 - 1,199"
c: 24 -1 "$ 1,200 - 1,299"
c: 25 -1 "$ 1,300 - 1,399"
c: 26 -1 "$ 1,400 - 1,499"
c: 27 -1 "$ 1,500 - 1,599"
c: 28 -1 "$ 1,600 - 1,699"
c: 29 -1 "$ 1,700 - 1,799"
c: 30 -1 "$ 1,800 - 1,899"
c: 31 -1 "$ 1,900 - 1,999"
c: 32 -1 "$ 2,000 - 2,099"
c: 33 -1 "$2100-2199  ($2199+ 1990 PR Samples)"
c: 34 -1 "$ 2,200 - 2,299"
c: 35 -1 "$ 2,300 - 2,399"
c: 36 -1 "$ 2,400 - 2,499"
c: 37 -1 "$ 2,500 - 2,599"
c: 38 -1 "$ 2,600 - 2,699"
c: 39 -1 "$ 2,700 - 2,799"
c: 40 -1 "$ 2,800 - 2,899"
c: 41 -1 "$ 2,900 - 2,999"
c: 42 -1 "$ 3,000 - 3,099"
c: 43 -1 "$ 3,100 - 3,199"
c: 44 -1 "$ 3,200 - 3,299"
c: 45 -1 "$ 3,300 - 3,399"
c: 46 -1 "$ 3,400 - 3,499"
c: 47 -1 "$ 3,500 - 3,599"
c: 48 -1 "$ 3,600 - 3,699"
c: 49 -1 "$ 3,700 - 3,799"
c: 50 -1 "$ 3,800 - 3,899"
c: 51 -1 "$ 3,900 - 3,999"
c: 52 -1 "$ 4,000 - 4,099"
c: 53 -1 "$ 4,100 - 4,199"
c: 54 -1 "$ 4,200 - 4,299"
c: 55 -1 "$ 4,300 - 4,399"
c: 56 -1 "$ 4,400 - 4,499"
c: 57 -1 "$4500 (1990 U.S. Samples)"
c: 58 -1 "$4500-4599 ($4501+ 1990 U.S. Samples)"
c: 59 -1 "$4600 - 4699"
c: 60 -1 "$4700 - 4799"
c: 61 -1 "$4800 - 4899"
c: 62 -1 "$4900 - 4999"
c: 63 -1 "$5000 - 5499"
c: 64 -1 "$5500 - 5999"
c: 65 -1 "$6000 - 6999"
c: 66 -1 "$7000 - 7999"
c: 67 -1 "$8000-8999 ($8000-9099 in 2000)"
c: 68 -1 "$9000-9999 ($9100+ in 2000)"
c: 69 -1 "$10,000+"
I: RENTMEAL 0 2 -1 2 762 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxx..xxxxxxxxxxxxxxxx
l: Meals included in rent
s: Meals included in rent
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, meals not included"
c: 2 -1 "Yes"
I: CONDOFEE -1 -1 -1 1720 763 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Monthly condominium fee
s: Monthly condominium fee
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: MOBLHOME -1 -1 -1 9999 767 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxx..........xxxxxxxx
l: Annual mobile home costs
s: Annual mobile home costs
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: MOBLHOM2 -1 -1 -1 9999 771 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........................................xxxxxxxx........
l: Annual mobile home costs including loan payments
s: Annual mobile home costs including loan payments
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: MOBLOAN 0 2 -1 2 775 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........................................xxxxxxxx........
l: Mobile home loan
s: Mobile home loan
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: LINGISOL 0 2 -1 2 776 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxx..xxxxxxxxxxxxxxxx
l: Linguistic isolation
s: Linguistic isolation
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (group quarters/vacant)"
c: 1 -1 "Not linguistically isolated"
c: 2 -1 "Linguistically isolated"
I: VEHICLES 0 9 -1 9 777 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Vehicles available
s: Vehicles available
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "1 available"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6 (6+, 2000, ACS and PRCS)"
c: 7 -1 "7+"
c: 9 -1 "No vehicles available"
I: QAUGMENH -1 -1 -1 4 778 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........................................xxx.............
l: Flag for household augmentation
s: Flag for household augmentation
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QACREPR2 -1 -1 -1 4 779 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxx..................
l: Flag for Acreprop
s: Flag for Acreprop
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCONDOFE -1 -1 -1 4 780 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Condofee
s: Flag for Condofee
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMOBLHOM -1 -1 -1 4 781 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxx..xxxxxxxxxxxxxxxx
l: Flag for Moblhome, Moblhom2
s: Flag for Moblhome, Moblhom2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMOBLOAN -1 -1 -1 4 782 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........................................xxx.............
l: Flag for Mobloan
s: Flag for Mobloan
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMORTAM1 -1 -1 -1 4 783 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Mortamt1
s: Flag for Mortamt1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMORTAM2 -1 -1 -1 4 784 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Mortamt2
s: Flag for Mortamt2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QPROPINS -1 -1 -1 4 785 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Propinsr
s: Flag for Propinsr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QPROTX99 -1 -1 -1 4 786 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Proptx99
s: Flag for Proptx99
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRENTMEA -1 -1 -1 4 787 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxx..xxxxxxxxxxxxxxxx
l: Flag for Rentmeal
s: Flag for Rentmeal
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBATHPR2 -1 -1 -1 4 788 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........................................xx................
l: Data quality flag for BATHRPR2, Puerto Rico samples
s: Data quality flag for BATHRPR2, Puerto Rico samples
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVEHICLE -1 -1 -1 4 789 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................................xxxxxxxxxxxxxxxxxxxxxxx
l: Data quality flag for VEHICLE
s: Data quality flag for VEHICLE
c: "." -1 -1 "Not Available for this Year and Data Set"
I: REPWT 0 1 -1 1 790 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weights
s: Household replicate weights
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Repwt not available"
c: 1 -1 "Repwt available"
I: MET2003 0 9320 -1 9320 791 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................................................x.......
l: Metropolitan area, 2003 ACS
s: Metropolitan area, 2003 ACS
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not identifiable"
c: 160 -1 "Albany-Schenectady-Troy, NY"
c: 200 -1 "Albuquerque, NM"
c: 220 -1 "Alexandria, LA"
c: 240 -1 "Allentown-Bethlehem-Easton, PA/NJ"
c: 320 -1 "Amarillo, TX"
c: 450 -1 "Anniston, AL"
c: 520 -1 "Atlanta, GA"
c: 600 -1 "Augusta-Aiken, GA-SC"
c: 640 -1 "Austin, TX"
c: 680 -1 "Bakersfield, CA"
c: 760 -1 "Baton Rouge, LA"
c: 840 -1 "Beaumont-Port Arthur-Orange,TX"
c: 870 -1 "Benton Harbor, MI"
c: 880 -1 "Billings, MT"
c: 960 -1 "Binghamton, NY"
c: 1000 -1 "Birmingham, AL"
c: 1010 -1 "Bismarck,ND"
c: 1080 -1 "Boise City, ID"
c: 1120 -1 "Boston, MA"
c: 1240 -1 "Brownsville-Harlingen-San Benito, TX"
c: 1280 -1 "Buffalo-Niagara Falls, NY"
c: 1320 -1 "Canton, OH"
c: 1360 -1 "Cedar Rapids, IA"
c: 1440 -1 "Charleston-N.Charleston,SC"
c: 1560 -1 "Chattanooga, TN/GA"
c: 1580 -1 "Cheyenne, WY"
c: 1600 -1 "Chicago-Gary-Lake, IL"
c: 1620 -1 "Chico, CA"
c: 1640 -1 "Cincinnati OH/KY/IN"
c: 1680 -1 "Cleveland, OH"
c: 1720 -1 "Colorado Springs, CO"
c: 1740 -1 "Columbia, MO"
c: 1760 -1 "Columbia, SC"
c: 1840 -1 "Columbus, OH"
c: 1880 -1 "Corpus Christi, TX"
c: 1920 -1 "Dallas-Fort Worth, TX"
c: 1950 -1 "Danville, VA"
c: 1960 -1 "Davenport, IA Rock Island-Moline, IL"
c: 2000 -1 "Dayton-Springfield, OH"
c: 2020 -1 "Daytona Beach, FL"
c: 2030 -1 "Decatur, AL"
c: 2120 -1 "Des Moines, IA"
c: 2160 -1 "Detroit, MI"
c: 2180 -1 "Dothan, AL"
c: 2190 -1 "Dover, DE"
c: 2310 -1 "El Paso, TX"
c: 2360 -1 "Erie, PA"
c: 2400 -1 "Eugene-Springfield, OR"
c: 2520 -1 "Fargo-Morehead, ND/MN"
c: 2560 -1 "Fayetteville, NC"
c: 2580 -1 "Fayetteville-Springdale, AR"
c: 2650 -1 "Florence, AL"
c: 2710 -1 "Fort Pierce, FL"
c: 2840 -1 "Fresno, CA"
c: 3040 -1 "Great Falls, MT"
c: 3240 -1 "Harrisburg-Lebanon-Carlisle, PA"
c: 3280 -1 "Hartford-Bristol-Middleton-New Britain, CT"
c: 3290 -1 "Hickory-Morgantown, NC"
c: 3300 -1 "Hattiesburg, MS"
c: 3320 -1 "Honolulu, HI"
c: 3350 -1 "Houma-Thibodoux, LA"
c: 3360 -1 "Houston-Brazoria, TX"
c: 3400 -1 "Huntington-Ashland, WV/KY/OH"
c: 3440 -1 "Huntsville, AL"
c: 3480 -1 "Indianapolis, IN"
c: 3580 -1 "Jackson, TN"
c: 3590 -1 "Jacksonville, FL"
c: 3610 -1 "Jamestown-Dunkirk, NY"
c: 3660 -1 "Johnson City-Kingsport-Bristol, TN/VA"
c: 3710 -1 "Joplin, MO"
c: 3760 -1 "Kansas City, MO-KS"
c: 3960 -1 "Lake Charles, LA"
c: 3980 -1 "Lakeland-Winterhaven, FL"
c: 4000 -1 "Lancaster, PA"
c: 4040 -1 "Lansing-E. Lansing, MI"
c: 4080 -1 "Laredo, TX"
c: 4100 -1 "Las Cruces, NM"
c: 4360 -1 "Lincoln, NE"
c: 4400 -1 "Little Rock-North Little Rock, AR"
c: 4480 -1 "Los Angeles-Long Beach, CA"
c: 4600 -1 "Lubbock, TX"
c: 4640 -1 "Lynchburg, VA"
c: 4800 -1 "Mansfield, OH"
c: 4880 -1 "McAllen-Edinburg-Pharr-Mission, TX"
c: 4920 -1 "Memphis, TN/AR/MS"
c: 5080 -1 "Milwaukee-Waukesha-West Allis, WI MSA"
c: 5120 -1 "Minneapolis-St. Paul, MN"
c: 5140 -1 "Missoula, MT MSA"
c: 5160 -1 "Mobile, AL"
c: 5170 -1 "Modesto, CA"
c: 5200 -1 "Monroe, LA"
c: 5240 -1 "Montgomery, AL"
c: 5330 -1 "Myrtle Beach, SC"
c: 5360 -1 "Nashville, TN"
c: 5560 -1 "New Orleans, LA"
c: 5600 -1 "New York-Northeastern NJ"
c: 5720 -1 "Norfolk-VA Beach-Newport News, VA"
c: 5880 -1 "Oklahoma City, OK"
c: 5960 -1 "Orlando, FL"
c: 6020 -1 "Parkersburg-Marietta,WV/OH"
c: 6120 -1 "Peoria, IL"
c: 6160 -1 "Philadelphia, PA/NJ"
c: 6200 -1 "Phoenix, AZ"
c: 6280 -1 "Pittsburgh, PA Partial MSA"
c: 6520 -1 "Provo-Orem, UT"
c: 6680 -1 "Reading, PA"
c: 6720 -1 "Reno, NV"
c: 6760 -1 "Richmond-Petersburg, VA"
c: 6800 -1 "Roanoke, VA"
c: 6820 -1 "Rochester, MN"
c: 6840 -1 "Rochester, NY"
c: 6920 -1 "Sacramento, CA"
c: 6980 -1 "St. Cloud, MN"
c: 7000 -1 "St. Joseph, MO"
c: 7040 -1 "St. Louis, MO-IL"
c: 7120 -1 "Salinas-Sea Side-Monterey, CA"
c: 7240 -1 "San Antonio, TX"
c: 7320 -1 "San Diego, CA"
c: 7360 -1 "San Francisco-Oakland-Vallejo, CA"
c: 7460 -1 "San Luis Obispo-Atascad-P Robles, CA"
c: 7470 -1 "Santa Barbara-Santa Maria-Lompoc, CA"
c: 7510 -1 "Sarasota, FL"
c: 7520 -1 "Savannah, GA"
c: 7600 -1 "Seattle-Everett, WA"
c: 7720 -1 "Sioux City, IA/NE"
c: 7760 -1 "Sioux Falls, SD"
c: 7840 -1 "Spokane, WA"
c: 7880 -1 "Springfield, IL"
c: 8120 -1 "Stockton, CA"
c: 8160 -1 "Syracuse, NY"
c: 8280 -1 "Tampa-St. Petersburg-Clearwater, FL"
c: 8400 -1 "Toledo, OH/MI"
c: 8440 -1 "Topeka, KS"
c: 8520 -1 "Tucson, AZ"
c: 8560 -1 "Tulsa, OK"
c: 8680 -1 "Utica-Rome, NY"
c: 8780 -1 "Visalia-Tulare-Porterville, CA"
c: 8840 -1 "Washington, DC/MD/VA"
c: 9040 -1 "Wichita, KS"
c: 9260 -1 "Yakima, WA"
c: 9280 -1 "York, PA"
c: 9320 -1 "Youngstown-Warren, OH-PA"
I: SECRES 0 2 -1 2 795 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xx....
l: Second residence status
s: Second residence status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Not a second residence"
c: 2 -1 "Second residence"
I: SECRESMO 0 11 -1 11 796 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xx....
l: Months living in second residence
s: Months living in second residence
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
I: SECRESRE 0 6 -1 6 798 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xx....
l: Reason for second residence
s: Reason for second residence
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Permanent address"
c: 2 -1 "Seasonal or vacation address"
c: 3 -1 "To be close to work"
c: 4 -1 "Attend school or college"
c: 5 -1 "Looking for permanent housing"
c: 6 -1 "Other reason"
I: PUBHOUS 0 2 -1 2 799 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Public housing
s: Public housing
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: RENTSUB 0 4 -1 4 800 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Government rental subsidy
s: Government rental subsidy
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes, section 8 program"
c: 3 -1 "Yes, some other government program"
c: 4 -1 "Yes, not sure which government program"
I: HEATSUB 0 2 -1 2 801 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Federal heating/cooling subsidy
s: Federal heating/cooling subsidy
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: LUNCHSUB 0 2 -1 2 802 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Government school food subsidy
s: Government school food subsidy
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: FOODSTMP 0 2 -1 2 803 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxxxxxxxxxx
l: Food stamp recipiency
s: Food stamp recipiency
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: FDSTPAMT -1 -1 -1 99999 804 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Food stamp amount
s: Food stamp amount
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: BUILTYR2 0 10 -1 10 809 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxxxxxxxxxx
l: Age of structure, decade
s: Age of structure, decade
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "2005 or later"
c: 2 -1 "2000-2004 (1999-2002 in the 2000-2002 ACS)"
c: 3 -1 "1995-1999 (1995-1998 in the 2000-2002 ACS)"
c: 4 -1 "1990-1994 (1990-1999 in the 2005-2006 ACS and the PRCS)"
c: 5 -1 "1980-1989"
c: 6 -1 "1970-1979"
c: 7 -1 "1960-1969"
c: 8 -1 "1950-1959"
c: 9 -1 "1940-1949"
c: 10 -1 "1939 or earlier"
I: QFOODSTM -1 -1 -1 4 811 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxxxxxxxxxx
l: Flag for Foodstmp and Fdstpamt
s: Flag for Foodstmp and Fdstpamt
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QHEATSUB -1 -1 -1 4 812 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Flag for Heatsub
s: Flag for Heatsub
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QLUNCHSU -1 -1 -1 4 813 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Flag for Lunchsub
s: Flag for Lunchsub
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMORTG2A -1 -1 -1 0 814 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxxxxxxx.x.
l: Flag for Mortgag2
s: Flag for Mortgag2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QPUBHOUS -1 -1 -1 4 815 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Flag for Pubhous
s: Flag for Pubhous
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRENTSU1 -1 -1 -1 4 816 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Flag for Rentsub
s: Flag for Rentsub
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRENTSU2 -1 -1 -1 4 817 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxx........
l: Flag for Rentsub (section 8 program)
s: Flag for Rentsub (section 8 program)
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBUILTY2 -1 -1 -1 4 818 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................................xxxxxxxxxxx
l: Flag for Builtyr2
s: Flag for Builtyr2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: REPWT1 -1 -1 -20 1974 819 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 1
s: Household replicate weight 1
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT2 -1 -1 -98 3057 823 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 2
s: Household replicate weight 2
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT3 -1 -1 -72 3115 827 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 3
s: Household replicate weight 3
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT4 -1 -1 -94 2791 831 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 4
s: Household replicate weight 4
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT5 -1 -1 -52 2820 835 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 5
s: Household replicate weight 5
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT6 -1 -1 -11 3014 839 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 6
s: Household replicate weight 6
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT7 -1 -1 -59 2928 843 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 7
s: Household replicate weight 7
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT8 -1 -1 -26 2931 847 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 8
s: Household replicate weight 8
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT9 -1 -1 -145 2703 851 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 9
s: Household replicate weight 9
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT10 -1 -1 -88 3163 855 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 10
s: Household replicate weight 10
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT11 -1 -1 -15 3101 859 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 11
s: Household replicate weight 11
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT12 -1 -1 -13 2849 863 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 12
s: Household replicate weight 12
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT13 -1 -1 -1 2903 867 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 13
s: Household replicate weight 13
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT14 -1 -1 -47 2812 871 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 14
s: Household replicate weight 14
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT15 -1 -1 -1 2980 875 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 15
s: Household replicate weight 15
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT16 -1 -1 -1 3034 879 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 16
s: Household replicate weight 16
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT17 -1 -1 -20 2916 883 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 17
s: Household replicate weight 17
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT18 -1 -1 -8 2760 887 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 18
s: Household replicate weight 18
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT19 -1 -1 -2 3141 891 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 19
s: Household replicate weight 19
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT20 -1 -1 -4 3034 895 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 20
s: Household replicate weight 20
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT21 -1 -1 -63 3494 899 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 21
s: Household replicate weight 21
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT22 -1 -1 -123 2555 903 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 22
s: Household replicate weight 22
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT23 -1 -1 -71 3185 907 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 23
s: Household replicate weight 23
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT24 -1 -1 -94 3067 911 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 24
s: Household replicate weight 24
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT25 -1 -1 -119 3011 915 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 25
s: Household replicate weight 25
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT26 -1 -1 -15 2943 919 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 26
s: Household replicate weight 26
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT27 -1 -1 -11 3143 923 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 27
s: Household replicate weight 27
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT28 -1 -1 -22 2990 927 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 28
s: Household replicate weight 28
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT29 -1 -1 -135 3323 931 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 29
s: Household replicate weight 29
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT30 -1 -1 -28 3205 935 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 30
s: Household replicate weight 30
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT31 -1 -1 -47 2874 939 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 31
s: Household replicate weight 31
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT32 -1 -1 -10 3215 943 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 32
s: Household replicate weight 32
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT33 -1 -1 -12 2975 947 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 33
s: Household replicate weight 33
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT34 -1 -1 -10 2917 951 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 34
s: Household replicate weight 34
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT35 -1 -1 -6 2831 955 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 35
s: Household replicate weight 35
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT36 -1 -1 -9 2906 959 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 36
s: Household replicate weight 36
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT37 -1 -1 -92 3387 963 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 37
s: Household replicate weight 37
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT38 -1 -1 -8 2991 967 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 38
s: Household replicate weight 38
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT39 -1 -1 -70 2773 971 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 39
s: Household replicate weight 39
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT40 -1 -1 -6 2960 975 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 40
s: Household replicate weight 40
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT41 -1 -1 -32 1984 979 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 41
s: Household replicate weight 41
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT42 -1 -1 -43 3231 983 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 42
s: Household replicate weight 42
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT43 -1 -1 -31 2867 987 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 43
s: Household replicate weight 43
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT44 -1 -1 -24 2632 991 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 44
s: Household replicate weight 44
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT45 -1 -1 -61 3131 995 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 45
s: Household replicate weight 45
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT46 -1 -1 -49 2997 999 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 46
s: Household replicate weight 46
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT47 -1 -1 -53 3512 1003 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 47
s: Household replicate weight 47
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT48 -1 -1 -29 3238 1007 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 48
s: Household replicate weight 48
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT49 -1 -1 -105 2767 1011 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 49
s: Household replicate weight 49
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT50 -1 -1 -59 2928 1015 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 50
s: Household replicate weight 50
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT51 -1 -1 -28 3209 1019 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 51
s: Household replicate weight 51
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT52 -1 -1 -1 3126 1023 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 52
s: Household replicate weight 52
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT53 -1 -1 -46 3116 1027 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 53
s: Household replicate weight 53
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT54 -1 -1 -31 3321 1031 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 54
s: Household replicate weight 54
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT55 -1 -1 -16 2879 1035 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 55
s: Household replicate weight 55
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT56 -1 -1 -4 3077 1039 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 56
s: Household replicate weight 56
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT57 -1 -1 -2 2898 1043 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 57
s: Household replicate weight 57
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT58 -1 -1 -1 3110 1047 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 58
s: Household replicate weight 58
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT59 -1 -1 -20 2661 1051 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l: Household replicate weight 59
s: Household replicate weight 59
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT60 -1 -1 -14 3094 1055 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 60
s: Household replicate weight 60
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT61 -1 -1 -56 3052 1059 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l: Household replicate weight 61
s: Household replicate weight 61
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT62 -1 -1 -84 3405 1063 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 62
s: Household replicate weight 62
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT63 -1 -1 -50 2985 1067 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 63
s: Household replicate weight 63
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT64 -1 -1 -51 2977 1071 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 64
s: Household replicate weight 64
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT65 -1 -1 -65 3204 1075 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 65
s: Household replicate weight 65
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT66 -1 -1 -88 3028 1079 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 66
s: Household replicate weight 66
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT67 -1 -1 -48 3440 1083 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 67
s: Household replicate weight 67
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT68 -1 -1 -25 3110 1087 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 68
s: Household replicate weight 68
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT69 -1 -1 -99 3531 1091 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 69
s: Household replicate weight 69
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT70 -1 -1 -19 2992 1095 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 70
s: Household replicate weight 70
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT71 -1 -1 -60 2908 1099 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 71
s: Household replicate weight 71
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT72 -1 -1 -6 2979 1103 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 72
s: Household replicate weight 72
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT73 -1 -1 -11 3336 1107 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 73
s: Household replicate weight 73
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT74 -1 -1 -23 2710 1111 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 74
s: Household replicate weight 74
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT75 -1 -1 -1 2813 1115 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 75
s: Household replicate weight 75
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT76 -1 -1 -6 3202 1119 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 76
s: Household replicate weight 76
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT77 -1 -1 -6 3513 1123 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 77
s: Household replicate weight 77
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT78 -1 -1 -12 2794 1127 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 78
s: Household replicate weight 78
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT79 -1 -1 -86 2738 1131 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 79
s: Household replicate weight 79
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: REPWT80 -1 -1 -6 3018 1135 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ....................................................xxxxxx
l: Household replicate weight 80
s: Household replicate weight 80
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: Y2K -1 -1 1850 2007 1139 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Census Year
s: Census Year
c: "...." -1 -1 "Not Available for this Year and Data Set"
H: person none 1 "P" 104174913
t: default_weight (datanum=1)*PERWT
t: weight_1 PERWT
t: weight_2 case(y2k=1970 & (datanum=1 | datanum=2),0.5*PERWT,(y2k<>1970) & (datanum=1),PERWT,0)
l:  Person Hierarchy  -  80M Person Level Records
l:  The person records contain information on each 
l:  individual in the housing unit.
s: Person Hierarchy
I: RECTYPEP -1 -1 0 0 1 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Record type
s: Record type
c: "." -1 -1 "Not Available for this Year and Data Set"
c: "P" 0 -1 "P"
I: YEARP -1 -1 1850 2007 2 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Census year
s: Census year
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: DATANUMP -1 -1 0 9 6 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Data set number
s: Data set number
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: SERIALP -1 -1 1 54402301 8 8
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Household serial number
s: Household serial number
c: "........" -1 -1 "Not Available for this Year and Data Set"
I: PERNUM -1 -1 1 54 16 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Person number in sample unit
s: Person number in sample unit
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: PERWT 1 10 0 5419 20 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Person weight
s: Person weight
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 ""
c: 5 -1 ""
c: 10 -1 ""
I: SLWT 1 1 0 5419 24 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Sample-line weight
s: Sample-line weight
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 ""
I: PERWTDET -1 -1 -1 27346 28 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxx..xxxx.x.x..........................................
l: Detailed person weight, based on low-level geography
s: Detailed person weight, based on low-level geography
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: SELFWTSL 0 2 -1 2 34 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx........................................
l: Self-weighting sample-line person
s: Self-weighting sample-line person
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (not sample-line person)"
c: 1 -1 "Not in self-weighting sample"
c: 2 -1 "In self-weighting sample"
I: SLREC 1 2 -1 2 35 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx........................................
l: Sample-line person identifier
s: Sample-line person identifier
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Not a sample-line person"
c: 2 -1 "Sample-line person"
I: RESPONDT 0 2 -1 2 36 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Respondent indicator
s: Respondent indicator
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Respondent is not a member of the household"
c: 1 -1 "Person is not respondent for household or GQ"
c: 2 -1 "Person is respondent"
I: MOMLOC 0 29 0 46 37 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Mother''s location in the household
s: Mother''s location in the household
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "00"
c: 1 -1 "01"
c: 2 -1 "02"
c: 3 -1 "03"
c: 4 -1 "04"
c: 5 -1 "05"
c: 6 -1 "06"
c: 7 -1 "07"
c: 8 -1 "08"
c: 9 -1 "09"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
I: STEPMOM 0 7 0 7 39 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Probable step/adopted mother
s: Probable step/adopted mother
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "No stepmother present"
c: 1 -1 "Improbable age difference"
c: 2 -1 "Spouse of father"
c: 3 -1 "Identified stepmother"
c: 4 -1 "No surviving children"
c: 5 -1 "Identified as adopted"
c: 6 -1 "Birthplace/marriage duration mismatch"
c: 7 -1 "Number of children born/children surviving check"
I: MOMRULE 0 7 0 7 40 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Rule for linking mother
s: Rule for linking mother
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "No mother link"
c: 1 -1 "Unambiguous mother link"
c: 2 -1 "Daughter/grandchild link"
c: 3 -1 "Preceding female (no intervening person)"
c: 4 -1 "Preceding female (surname similarity)"
c: 5 -1 "Daughter/grandchild (child surviving status)"
c: 6 -1 "Preceding female (child surviving status)"
c: 7 -1 "Spouse of father becomes stepmother"
I: IMPMOM 0 29 -1 29 41 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Imputed location of mother
s: Imputed location of mother
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "00"
c: 1 -1 "01"
c: 2 -1 "02"
c: 3 -1 "03"
c: 4 -1 "04"
c: 5 -1 "05"
c: 6 -1 "06"
c: 7 -1 "07"
c: 8 -1 "08"
c: 9 -1 "09"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
I: POPLOC 0 29 0 28 43 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Father''s location in the household
s: Father''s location in the household
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "00"
c: 1 -1 "01"
c: 2 -1 "02"
c: 3 -1 "03"
c: 4 -1 "04"
c: 5 -1 "05"
c: 6 -1 "06"
c: 7 -1 "07"
c: 8 -1 "08"
c: 9 -1 "09"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
I: STEPPOP 0 7 0 7 45 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Probable step/adopted father
s: Probable step/adopted father
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "No stepfather present"
c: 1 -1 "Improbable age difference"
c: 2 -1 "Spouse of mother"
c: 3 -1 "Identified stepfather"
c: 5 -1 "Identified as adopted"
c: 6 -1 "Birthplace/marriage duration mismatch"
c: 7 -1 "Surname difference -- male child or never-married female"
I: POPRULE 0 7 0 7 46 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Rule for linking father
s: Rule for linking father
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "No father link"
c: 1 -1 "Unambiguous father link"
c: 2 -1 "Son/granchild link"
c: 3 -1 "Preceding male (no intervening person)"
c: 4 -1 "Preceding male (surname similarity)"
c: 7 -1 "Husband of mother becomes stepfather"
I: IMPPOP 0 29 -1 28 47 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Imputed location of father
s: Imputed location of father
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "00"
c: 1 -1 "01"
c: 2 -1 "02"
c: 3 -1 "03"
c: 4 -1 "04"
c: 5 -1 "05"
c: 6 -1 "06"
c: 7 -1 "07"
c: 8 -1 "08"
c: 9 -1 "09"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
I: SPLOC 0 29 0 30 49 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Spouse''s location in household
s: Spouse''s location in household
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "00"
c: 1 -1 "01"
c: 2 -1 "02"
c: 3 -1 "03"
c: 4 -1 "04"
c: 5 -1 "05"
c: 6 -1 "06"
c: 7 -1 "07"
c: 8 -1 "08"
c: 9 -1 "09"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
I: SPRULE 0 7 0 7 51 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Rule for linking spouse
s: Rule for linking spouse
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "No spouse link"
c: 1 -1 "Wife follows husband"
c: 2 -1 "Wife precedes husband"
c: 3 -1 "Non-adjacent links -- consistent relationship to head/age di"
c: 4 -1 "Adjacent links (wife follows husband -- no age, other relati"
c: 5 -1 "Adjacent links (wife precedes husband -- no age, other relat"
c: 6 -1 "Non-adjacent links -- no age, other relative conflicts"
c: 7 -1 "Previously allocated marital status -- no age, other relativ"
I: IMPSP 0 29 -1 30 52 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Imputed location of spouse
s: Imputed location of spouse
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "00"
c: 1 -1 "01"
c: 2 -1 "02"
c: 3 -1 "03"
c: 4 -1 "04"
c: 5 -1 "05"
c: 6 -1 "06"
c: 7 -1 "07"
c: 8 -1 "08"
c: 9 -1 "09"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
I: FAMSIZE 1 29 1 31 54 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of own family members in household
s: Number of own family members in household
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "1 family member present"
c: 2 -1 "2 family members present"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
I: NCHILD 0 9 0 9 56 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of own children in the household
s: Number of own children in the household
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "0 children present"
c: 1 -1 "1 child present"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9+"
I: NCHLT5 0 9 0 9 57 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of own children under age 5 in household
s: Number of own children under age 5 in household
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "No children under age 5"
c: 1 -1 "1 child under age 5"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9+"
I: FAMUNIT 1 29 1 53 58 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Family unit membership
s: Family unit membership
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "1st family in household or group quarters"
c: 2 -1 "2nd family in household or group quarters"
c: 3 -1 "3rd"
c: 4 -1 "4th"
c: 5 -1 "5th"
c: 6 -1 "6th"
c: 7 -1 "7th"
c: 8 -1 "8th"
c: 9 -1 "9th"
c: 10 -1 "10th"
c: 11 -1 "11th"
c: 12 -1 "12th"
c: 13 -1 "13th"
c: 14 -1 "14th"
c: 15 -1 "15th"
c: 16 -1 "16th"
c: 17 -1 "17th"
c: 18 -1 "18th"
c: 19 -1 "19th"
c: 20 -1 "20th"
c: 21 -1 "21th"
c: 22 -1 "22th"
c: 23 -1 "23th"
c: 24 -1 "24th"
c: 25 -1 "25th"
c: 26 -1 "26th"
c: 27 -1 "27th"
c: 28 -1 "28th"
c: 29 -1 "29th"
I: ELDCH 0 99 -1 99 60 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxx...xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Age of eldest own child in household
s: Age of eldest own child in household
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Less than 1 year old"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 31 -1 "31"
c: 32 -1 "32"
c: 33 -1 "33"
c: 34 -1 "34"
c: 35 -1 "35"
c: 36 -1 "36"
c: 37 -1 "37"
c: 38 -1 "38"
c: 39 -1 "39"
c: 40 -1 "40"
c: 41 -1 "41"
c: 42 -1 "42"
c: 43 -1 "43"
c: 44 -1 "44"
c: 45 -1 "45"
c: 46 -1 "46"
c: 47 -1 "47"
c: 48 -1 "48"
c: 49 -1 "49"
c: 50 -1 "50"
c: 51 -1 "51"
c: 52 -1 "52"
c: 53 -1 "53"
c: 54 -1 "54"
c: 55 -1 "55"
c: 56 -1 "56"
c: 57 -1 "57"
c: 58 -1 "58"
c: 59 -1 "59"
c: 60 -1 "60"
c: 61 -1 "61"
c: 62 -1 "62"
c: 63 -1 "63"
c: 64 -1 "64"
c: 65 -1 "65"
c: 66 -1 "66"
c: 67 -1 "67"
c: 68 -1 "68"
c: 69 -1 "69"
c: 70 -1 "70"
c: 71 -1 "71"
c: 72 -1 "72"
c: 73 -1 "73"
c: 74 -1 "74"
c: 75 -1 "75"
c: 76 -1 "76"
c: 77 -1 "77"
c: 78 -1 "78"
c: 79 -1 "79"
c: 80 -1 "80"
c: 81 -1 "81"
c: 82 -1 "82"
c: 83 -1 "83"
c: 84 -1 "84"
c: 85 -1 "85"
c: 86 -1 "86"
c: 87 -1 "87"
c: 88 -1 "88"
c: 89 -1 "89"
c: 90 -1 "90"
c: 91 -1 "91"
c: 92 -1 "92"
c: 93 -1 "93"
c: 94 -1 "94"
c: 95 -1 "95"
c: 96 -1 "96"
c: 97 -1 "97"
c: 98 -1 "98"
c: 99 -1 "N/A"
I: YNGCH 0 99 0 99 62 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Age of youngest own child in household
s: Age of youngest own child in household
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Less than 1 year old"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 31 -1 "31"
c: 32 -1 "32"
c: 33 -1 "33"
c: 34 -1 "34"
c: 35 -1 "35"
c: 36 -1 "36"
c: 37 -1 "37"
c: 38 -1 "38"
c: 39 -1 "39"
c: 40 -1 "40"
c: 41 -1 "41"
c: 42 -1 "42"
c: 43 -1 "43"
c: 44 -1 "44"
c: 45 -1 "45"
c: 46 -1 "46"
c: 47 -1 "47"
c: 48 -1 "48"
c: 49 -1 "49"
c: 50 -1 "50"
c: 51 -1 "51"
c: 52 -1 "52"
c: 53 -1 "53"
c: 54 -1 "54"
c: 55 -1 "55"
c: 56 -1 "56"
c: 57 -1 "57"
c: 58 -1 "58"
c: 59 -1 "59"
c: 60 -1 "60"
c: 61 -1 "61"
c: 62 -1 "62"
c: 63 -1 "63"
c: 64 -1 "64"
c: 65 -1 "65"
c: 66 -1 "66"
c: 67 -1 "67"
c: 68 -1 "68"
c: 69 -1 "69"
c: 70 -1 "70"
c: 71 -1 "71"
c: 72 -1 "72"
c: 73 -1 "73"
c: 74 -1 "74"
c: 75 -1 "75"
c: 76 -1 "76"
c: 77 -1 "77"
c: 78 -1 "78"
c: 79 -1 "79"
c: 80 -1 "80"
c: 81 -1 "81"
c: 82 -1 "82"
c: 83 -1 "83"
c: 84 -1 "84"
c: 85 -1 "85"
c: 86 -1 "86"
c: 87 -1 "87"
c: 88 -1 "88"
c: 89 -1 "89"
c: 90 -1 "90"
c: 91 -1 "91"
c: 92 -1 "92"
c: 93 -1 "93"
c: 94 -1 "94"
c: 95 -1 "95"
c: 96 -1 "96"
c: 97 -1 "97"
c: 98 -1 "98"
c: 99 -1 "N/A"
I: NSIBS 0 9 0 9 64 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Number of own siblings in household
s: Number of own siblings in household
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "0 siblings"
c: 1 -1 "1 sibling"
c: 2 -1 "2 siblings"
c: 3 -1 "3 siblings"
c: 4 -1 "4 siblings"
c: 5 -1 "5 siblings"
c: 6 -1 "6 siblings"
c: 7 -1 "7 siblings"
c: 8 -1 "8 siblings"
c: 9 -1 "9 or more siblings"
I: RELATE 1 13 0 13 65 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Relationship to household head [general version]
s: Relationship to household head [general version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Head/Householder"
c: 2 -1 "Spouse"
c: 3 -1 "Child"
c: 4 -1 "Child-in-law"
c: 5 -1 "Parent"
c: 6 -1 "Parent-in-Law"
c: 7 -1 "Sibling"
c: 8 -1 "Sibling-in-Law"
c: 9 -1 "Grandchild"
c: 10 -1 "Other relatives"
c: 11 -1 "Partner, friend, visitor"
c: 12 -1 "Other non-relatives"
c: 13 -1 "Institutional inmates"
I: RELATED 101 1301 0 1301 67 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Relationship to household head [detailed version]
s: Relationship to household head [detailed version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 101 -1 "Head/Householder"
c: 201 -1 "Spouse"
c: 202 -1 "2nd/3rd Wife (Polygamous)"
c: 301 -1 "Child"
c: 302 -1 "Adopted Child"
c: 303 -1 "Stepchild"
c: 304 -1 "Adopted, n.s."
c: 401 -1 "Child-in-law"
c: 402 -1 "Step Child-in-law"
c: 501 -1 "Parent"
c: 502 -1 "Stepparent"
c: 601 -1 "Parent-in-Law"
c: 602 -1 "Stepparent-in-law"
c: 701 -1 "Sibling"
c: 702 -1 "Step/Half/Adopted Sibling"
c: 801 -1 "Sibling-in-Law"
c: 802 -1 "Step/Half Sibling-in-law"
c: 901 -1 "Grandchild"
c: 902 -1 "Adopted Grandchild"
c: 903 -1 "Step Grandchild"
c: 904 -1 "Grandchild-in-law"
c: 1000 -1 "Other Relatives:"
c: 1001 -1 "Other Relatives"
c: 1011 -1 "Grandparent"
c: 1012 -1 "Step Grandparent"
c: 1013 -1 "Grandparent-in-law"
c: 1021 -1 "Aunt or Uncle"
c: 1022 -1 "Aunt,Uncle-in-law"
c: 1031 -1 "Nephew, Niece"
c: 1032 -1 "Neph/Niece-in-law"
c: 1033 -1 "Step/Adopted Nephew/Niece"
c: 1034 -1 "Grand Niece/Nephew"
c: 1041 -1 "Cousin"
c: 1042 -1 "Cousin-in-law"
c: 1051 -1 "Great Grandchild"
c: 1061 -1 "Other relatives, nec"
c: 1100 -1 "Partner, Friend, Visitor"
c: 1110 -1 "Partner/friend"
c: 1111 -1 "Friend"
c: 1112 -1 "Partner"
c: 1113 -1 "Partner/roommate"
c: 1114 -1 "Unmarried Partner"
c: 1115 -1 "Housemate/Roomate"
c: 1120 -1 "Relative of partner"
c: 1130 -1 "Concubine/Mistress"
c: 1131 -1 "Visitor"
c: 1132 -1 "Companion and family of companion"
c: 1139 -1 "Allocated partner/friend/visitor"
c: 1200 -1 "Other non-relatives"
c: 1201 -1 "Roomers/boarders/lodgers"
c: 1202 -1 "Boarders"
c: 1203 -1 "Lodgers"
c: 1204 -1 "Roomer"
c: 1205 -1 "Tenant"
c: 1206 -1 "Foster child"
c: 1210 -1 "Employees:"
c: 1211 -1 "Servant"
c: 1212 -1 "Housekeeper"
c: 1213 -1 "Maid"
c: 1214 -1 "Cook"
c: 1215 -1 "Nurse"
c: 1216 -1 "Other probable domestic employee"
c: 1217 -1 "Other employee"
c: 1219 -1 "Relative of employee"
c: 1221 -1 "Military"
c: 1222 -1 "Students"
c: 1223 -1 "Members of religious orders"
c: 1230 -1 "Other non-relatives"
c: 1239 -1 "Allocated other non-relative"
c: 1240 -1 "Roomers/boarders/lodgers and foster children"
c: 1241 -1 "Roomers/boarders/lodgers"
c: 1242 -1 "Foster children"
c: 1250 -1 "Employees"
c: 1251 -1 "Domestic employees"
c: 1252 -1 "Non-domestic employees"
c: 1253 -1 "Relative of employee"
c: 1260 -1 "Other non-relatives (1990 includes employees)"
c: 1270 -1 "Non-inmate 1990"
c: 1281 -1 "Head of group quarters"
c: 1282 -1 "Employees of group quarters"
c: 1283 -1 "Relative of head, staff, or employee group quarters"
c: 1284 -1 "Other non-inmate 1940-1959"
c: 1291 -1 "Military"
c: 1292 -1 "College dormitories"
c: 1293 -1 "Residents of rooming houses"
c: 1294 -1 "Other non-inmate 1980 (includes employees and non-inmates in"
c: 1295 -1 "Other non-inmates 1960-1970 (includes employees)"
c: 1296 -1 "Non-inmates in institutions"
c: 1301 -1 "Institutional inmates"
I: IMPREL 0 13 -1 13 71 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.x..........................................
l: Imputed relationship to household head
s: Imputed relationship to household head
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable (oversamples in 1900-1910)"
c: 1 -1 "Head/Householder"
c: 2 -1 "Spouse"
c: 3 -1 "Child"
c: 4 -1 "Child-in-law"
c: 5 -1 "Parent"
c: 6 -1 "Parent-in-Law"
c: 7 -1 "Sibling"
c: 8 -1 "Sibling-in-Law"
c: 9 -1 "Grandchild"
c: 10 -1 "Other relatives"
c: 11 -1 "Partner, friend, visitor"
c: 12 -1 "Other non-relatives"
c: 13 -1 "Institutional inmates"
I: AGE 0 126 0 133 73 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Age
s: Age
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Less than 1 year old"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 31 -1 "31"
c: 32 -1 "32"
c: 33 -1 "33"
c: 34 -1 "34"
c: 35 -1 "35"
c: 36 -1 "36"
c: 37 -1 "37"
c: 38 -1 "38"
c: 39 -1 "39"
c: 40 -1 "40"
c: 41 -1 "41"
c: 42 -1 "42"
c: 43 -1 "43"
c: 44 -1 "44"
c: 45 -1 "45"
c: 46 -1 "46"
c: 47 -1 "47"
c: 48 -1 "48"
c: 49 -1 "49"
c: 50 -1 "50"
c: 51 -1 "51"
c: 52 -1 "52"
c: 53 -1 "53"
c: 54 -1 "54"
c: 55 -1 "55"
c: 56 -1 "56"
c: 57 -1 "57"
c: 58 -1 "58"
c: 59 -1 "59"
c: 60 -1 "60"
c: 61 -1 "61"
c: 62 -1 "62"
c: 63 -1 "63"
c: 64 -1 "64"
c: 65 -1 "65"
c: 66 -1 "66"
c: 67 -1 "67"
c: 68 -1 "68"
c: 69 -1 "69"
c: 70 -1 "70"
c: 71 -1 "71"
c: 72 -1 "72"
c: 73 -1 "73"
c: 74 -1 "74"
c: 75 -1 "75"
c: 76 -1 "76"
c: 77 -1 "77"
c: 78 -1 "78"
c: 79 -1 "79"
c: 80 -1 "80"
c: 81 -1 "81"
c: 82 -1 "82"
c: 83 -1 "83"
c: 84 -1 "84"
c: 85 -1 "85"
c: 86 -1 "86"
c: 87 -1 "87"
c: 88 -1 "88"
c: 89 -1 "89"
c: 90 -1 "90 (90+ in 1980 and 1990)"
c: 91 -1 "91"
c: 92 -1 "92"
c: 93 -1 "93"
c: 94 -1 "94"
c: 95 -1 "95"
c: 96 -1 "96"
c: 97 -1 "97"
c: 98 -1 "98"
c: 99 -1 "99"
c: 100 -1 "100 (100+ in 1970)"
c: 101 -1 "101"
c: 102 -1 "102"
c: 103 -1 "103"
c: 104 -1 "104"
c: 105 -1 "105"
c: 106 -1 "106"
c: 107 -1 "107"
c: 108 -1 "108"
c: 109 -1 "109"
c: 110 -1 "110"
c: 111 -1 "111"
c: 112 -1 "112 (112+ in the 1980 internal data)"
c: 113 -1 "113"
c: 114 -1 "114"
c: 115 -1 "115 (115+ in the 1990 internal data)"
c: 116 -1 "116"
c: 117 -1 "117"
c: 118 -1 "118"
c: 119 -1 "119"
c: 120 -1 "120"
c: 121 -1 "121"
c: 122 -1 "122"
c: 123 -1 "123"
c: 124 -1 "124"
c: 125 -1 "125"
c: 126 -1 "126"
I: SEX 1 2 1 2 76 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Sex
s: Sex
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Male"
c: 2 -1 "Female"
I: MARST 1 6 -1 6 77 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Marital status
s: Marital status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Married, spouse present"
c: 2 -1 "Married, spouse absent"
c: 3 -1 "Separated"
c: 4 -1 "Divorced"
c: 5 -1 "Widowed"
c: 6 -1 "Never married/single"
I: AGEMONTH 0 99 -1 99 78 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxx.........................................
l: Age in months
s: Age in months
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "0 months old"
c: 1 -1 "1 month old"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 98 -1 "Unknown/illegible"
c: 99 -1 "N/A or blank"
I: BIRTHMO 0 99 -1 99 80 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...xxxx.xxxx.....x........................................
l: Month of birth
s: Month of birth
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "January"
c: 2 -1 "February"
c: 3 -1 "March"
c: 4 -1 "April"
c: 5 -1 "May"
c: 6 -1 "June"
c: 7 -1 "July"
c: 8 -1 "August"
c: 9 -1 "September"
c: 10 -1 "October"
c: 11 -1 "November"
c: 12 -1 "December"
c: 99 -1 "Missing"
I: BIRTHQTR 0 9 -1 9 82 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...xxxx..........xxxxxxxxxxxxxxxxxx.................xxxxxx
l: Quarter of birth
s: Quarter of birth
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Jan-Feb-March"
c: 2 -1 "April-May-June"
c: 3 -1 "July-Aug-Sept"
c: 4 -1 "Oct-Nov-Dec"
c: 9 -1 "Missing"
I: BIRTHYR -1 -1 -1 999 83 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Year of birth
s: Year of birth
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: AGEMARR 0 99 -1 99 86 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............xx.xx.x.x....xxxxx.........................
l: Age at first marriage
s: Age at first marriage
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A and missing"
c: 12 -1 "12 years old"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 31 -1 "31"
c: 32 -1 "32"
c: 33 -1 "33"
c: 34 -1 "34"
c: 35 -1 "35"
c: 36 -1 "36"
c: 37 -1 "37"
c: 38 -1 "38"
c: 39 -1 "39"
c: 40 -1 "40"
c: 41 -1 "41"
c: 42 -1 "42"
c: 43 -1 "43"
c: 44 -1 "44"
c: 45 -1 "45"
c: 46 -1 "46"
c: 47 -1 "47"
c: 48 -1 "48"
c: 49 -1 "49"
c: 50 -1 "50"
c: 51 -1 "51"
c: 52 -1 "52"
c: 53 -1 "53"
c: 54 -1 "54"
c: 55 -1 "55"
c: 56 -1 "56"
c: 57 -1 "57"
c: 58 -1 "58"
c: 59 -1 "59"
c: 60 -1 "60"
c: 61 -1 "61"
c: 62 -1 "62"
c: 63 -1 "63"
c: 64 -1 "64"
c: 65 -1 "65"
c: 66 -1 "66"
c: 67 -1 "67"
c: 68 -1 "68"
c: 69 -1 "69"
c: 70 -1 "70"
c: 71 -1 "71"
c: 72 -1 "72"
c: 73 -1 "73"
c: 74 -1 "74"
c: 75 -1 "75"
c: 76 -1 "76"
c: 77 -1 "77"
c: 78 -1 "78"
c: 79 -1 "79"
c: 80 -1 "80"
c: 81 -1 "81"
c: 82 -1 "82"
c: 83 -1 "83"
c: 84 -1 "84"
c: 85 -1 "85"
c: 86 -1 "86"
c: 87 -1 "87"
c: 88 -1 "88"
c: 89 -1 "89"
c: 90 -1 "90"
c: 91 -1 "91"
c: 92 -1 "92"
c: 93 -1 "93"
c: 94 -1 "94"
c: 95 -1 "95"
c: 96 -1 "96"
c: 97 -1 "97"
c: 98 -1 "98"
c: 99 -1 "99+"
I: DURMARR 0 99 -1 99 88 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxx....x........................................
l: Duration of current marital status
s: Duration of current marital status
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Less than one year"
c: 1 -1 "1 year"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 31 -1 "31"
c: 32 -1 "32"
c: 33 -1 "33"
c: 34 -1 "34"
c: 35 -1 "35"
c: 36 -1 "36"
c: 37 -1 "37"
c: 38 -1 "38"
c: 39 -1 "39"
c: 40 -1 "40"
c: 41 -1 "41"
c: 42 -1 "42"
c: 43 -1 "43"
c: 44 -1 "44"
c: 45 -1 "45"
c: 46 -1 "46"
c: 47 -1 "47"
c: 48 -1 "48"
c: 49 -1 "49"
c: 50 -1 "50"
c: 51 -1 "51"
c: 52 -1 "52"
c: 53 -1 "53"
c: 54 -1 "54"
c: 55 -1 "55"
c: 56 -1 "56"
c: 57 -1 "57"
c: 58 -1 "58"
c: 59 -1 "59"
c: 60 -1 "60"
c: 61 -1 "61"
c: 62 -1 "62"
c: 63 -1 "63"
c: 64 -1 "64"
c: 65 -1 "65"
c: 66 -1 "66"
c: 67 -1 "67"
c: 68 -1 "68"
c: 69 -1 "69"
c: 70 -1 "70"
c: 71 -1 "71"
c: 72 -1 "72"
c: 73 -1 "73"
c: 74 -1 "74"
c: 75 -1 "75"
c: 76 -1 "76"
c: 77 -1 "77"
c: 78 -1 "78"
c: 79 -1 "79"
c: 80 -1 "80"
c: 81 -1 "81"
c: 82 -1 "82"
c: 83 -1 "83"
c: 84 -1 "84"
c: 85 -1 "85"
c: 86 -1 "86"
c: 99 -1 "N/A"
I: MARRNO 0 9 -1 9 90 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxx...xxxx.x.x....xxxxx.........................
l: Times married
s: Times married
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not Applicable"
c: 1 -1 "Married once"
c: 2 -1 "Married twice (or more)"
c: 3 -1 "Three times"
c: 4 -1 "Four times"
c: 5 -1 "Five times"
c: 6 -1 "Six times"
c: 7 -1 "Unknown"
c: 8 -1 "Illegible"
c: 9 -1 "Missing"
I: MARRINYR 1 2 -1 9 91 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx...................................................
l: Married within the past year
s: Married within the past year
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Blank (No)"
c: 2 -1 "Yes"
I: MARMONTH 1 99 -1 99 92 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...xx.....................................................
l: Month married
s: Month married
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "January"
c: 2 -1 "February"
c: 3 -1 "March"
c: 4 -1 "April"
c: 5 -1 "May"
c: 6 -1 "June"
c: 7 -1 "July"
c: 8 -1 "August"
c: 9 -1 "September"
c: 10 -1 "October"
c: 11 -1 "November"
c: 12 -1 "December"
c: 99 -1 "N/A"
I: MARRQTR 0 4 -1 4 94 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xx.x.x....xxxxx.........................
l: Quarter of first marriage
s: Quarter of first marriage
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "January-February-March"
c: 2 -1 "April-May-June"
c: 3 -1 "July-August-September"
c: 4 -1 "October-November-December"
I: CONMARST 0 2 -1 2 95 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x..........xxx.....xx.....xx................
l: Consensual marriage, Puerto Rico
s: Consensual marriage, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not in the universe."
c: 1 -1 "Not consensually  married, or not reported."
c: 2 -1 "Consensually married."
I: CHBORN 0 61 -1 61 96 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxx...xxxxxxxxxxxxxxxxxxxxxxxx..................
l: Children ever born
s: Children ever born
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No children"
c: 2 -1 "1 child"
c: 3 -1 "2 children"
c: 4 -1 "3"
c: 5 -1 "4"
c: 6 -1 "5"
c: 7 -1 "6"
c: 8 -1 "7"
c: 9 -1 "8"
c: 10 -1 "9"
c: 11 -1 "10"
c: 12 -1 "11"
c: 13 -1 "12 (12+ 1960-1990)"
c: 14 -1 "13"
c: 15 -1 "14"
c: 16 -1 "15"
c: 17 -1 "16"
c: 18 -1 "17"
c: 19 -1 "18"
c: 20 -1 "19"
c: 21 -1 "20"
c: 22 -1 "21"
c: 23 -1 "22"
c: 24 -1 "23"
c: 25 -1 "24"
c: 26 -1 "25 (25+ 1950)"
c: 27 -1 "26"
c: 28 -1 "27"
c: 29 -1 "28"
c: 30 -1 "29"
c: 31 -1 "30"
c: 32 -1 "31"
c: 33 -1 "32"
c: 34 -1 "33"
c: 35 -1 "34"
c: 36 -1 "35"
c: 37 -1 "36"
c: 38 -1 "37"
c: 39 -1 "38"
c: 40 -1 "39"
c: 41 -1 "40"
c: 42 -1 "41"
c: 43 -1 "42"
c: 44 -1 "43"
c: 45 -1 "44"
c: 46 -1 "45"
c: 47 -1 "46"
c: 48 -1 "47"
c: 49 -1 "48"
c: 50 -1 "49"
c: 51 -1 "50"
c: 52 -1 "51"
c: 53 -1 "52"
c: 54 -1 "53"
c: 55 -1 "54"
c: 56 -1 "55"
c: 57 -1 "56"
c: 58 -1 "57"
c: 61 -1 "60"
I: CHSURV 0 26 -1 57 98 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxx.............................................
l: Children surviving
s: Children surviving
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No children surviving"
c: 2 -1 "1 child"
c: 3 -1 "2 children"
c: 4 -1 "3"
c: 5 -1 "4"
c: 6 -1 "5"
c: 7 -1 "6"
c: 8 -1 "7"
c: 9 -1 "8"
c: 10 -1 "9"
c: 11 -1 "10"
c: 12 -1 "11"
c: 13 -1 "12"
c: 14 -1 "13"
c: 15 -1 "14"
c: 16 -1 "15"
c: 17 -1 "16"
c: 18 -1 "17"
c: 19 -1 "18 children"
c: 21 -1 "20"
c: 26 -1 "25"
I: RACE 1 9 -1 9 100 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxx...xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Race [general version]
s: Race [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "White"
c: 2 -1 "Black/Negro"
c: 3 -1 "American Indian or Alaska Native"
c: 4 -1 "Chinese"
c: 5 -1 "Japanese"
c: 6 -1 "Other Asian or Pacific Islander"
c: 7 -1 "Other race, nec"
c: 8 -1 "Two major races"
c: 9 -1 "Three or more major races"
I: RACED 100 996 -1 990 101 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxx...xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Race [detailed version]
s: Race [detailed version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 100 -1 "White"
c: 110 -1 "Spanish write-in"
c: 120 -1 "Blank (white) (1850)"
c: 130 -1 "Portuguese"
c: 140 -1 "Mexican (1930)"
c: 150 -1 "Puerto Rican (1910 Hawaii)"
c: 200 -1 "Black/Negro"
c: 210 -1 "Mulatto"
c: 300 -1 "American Indian/Alaska Native"
c: 301 -1 "Alaskan Athabaskan"
c: 302 -1 "Apache"
c: 303 -1 "Blackfoot"
c: 304 -1 "Cherokee"
c: 305 -1 "Cheyenne"
c: 306 -1 "Chickasaw"
c: 307 -1 "Chippewa"
c: 308 -1 "Choctaw"
c: 309 -1 "Comanche"
c: 310 -1 "Creek"
c: 311 -1 "Crow"
c: 312 -1 "Iroquois"
c: 313 -1 "Kiowa"
c: 314 -1 "Lumbee"
c: 315 -1 "Navajo"
c: 316 -1 "Osage"
c: 317 -1 "Paiute"
c: 318 -1 "Pima"
c: 319 -1 "Potawatomi"
c: 320 -1 "Pueblo"
c: 321 -1 "Seminole"
c: 322 -1 "Shoshone"
c: 323 -1 "Sioux"
c: 324 -1 "Tlingit (Tlingit-Haida, 2000/ACS)"
c: 325 -1 "Tohono O Odham"
c: 326 -1 "All other tribes (1990)"
c: 327 -1 "Tribe not specified"
c: 330 -1 "Aleut"
c: 340 -1 "Eskimo"
c: 341 -1 "Alaskan mixed"
c: 350 -1 "Delaware"
c: 351 -1 "Latin American Indian"
c: 352 -1 "Puget Sound Salish"
c: 353 -1 "Yakama"
c: 354 -1 "Yaqui"
c: 355 -1 "Colville"
c: 356 -1 "Houma"
c: 357 -1 "Menominee"
c: 358 -1 "Yuman"
c: 390 -1 "Other Amer. Indian tribe (2000,ACS)"
c: 391 -1 "2+ Amer. Indian tribes (2000,ACS)"
c: 392 -1 "Other Alaska Native tribe(s) (2000,ACS)"
c: 393 -1 "Both Am. Ind. and Alaska Native (2000,ACS)"
c: 400 -1 "Chinese"
c: 410 -1 "Taiwanese"
c: 420 -1 "Chinese and Taiwanese"
c: 500 -1 "Japanese"
c: 600 -1 "Filipino"
c: 610 -1 "Asian Indian (Hindu 1920-1940)"
c: 620 -1 "Korean"
c: 630 -1 "Hawaiian"
c: 631 -1 "Hawaiian and Asian (1900,1920)"
c: 632 -1 "Hawaiian and European (1900,1920)"
c: 634 -1 "Hawaiian mixed"
c: 640 -1 "Vietnamese"
c: 650 -1 "Other Asian or Pacific Islander (1920,1980)"
c: 651 -1 "Asian only (CPS)"
c: 652 -1 "Pacific Islander only (CPS)"
c: 653 -1 "Asian or Pacific Islander, n.s. (1990 Internal Census files)"
c: 660 -1 "Cambodian"
c: 661 -1 "Hmong"
c: 662 -1 "Laotian"
c: 663 -1 "Thai"
c: 664 -1 "Bangladeshi"
c: 665 -1 "Burmese"
c: 666 -1 "Indonesian"
c: 667 -1 "Malaysian"
c: 668 -1 "Okinawan"
c: 669 -1 "Pakistani"
c: 670 -1 "Sri Lankan"
c: 671 -1 "Other Asian, n.e.c."
c: 672 -1 "Asian, not specified"
c: 673 -1 "Chinese and Japanese"
c: 674 -1 "Chinese and Filipino"
c: 675 -1 "Chinese and Vietnamese"
c: 676 -1 "Chinese and Asian write-in"
c: 677 -1 "Japanese and Filipino"
c: 678 -1 "Asian Indian and Asian write-in"
c: 679 -1 "Other Asian race combinations"
c: 680 -1 "Samoan"
c: 681 -1 "Tahitian"
c: 682 -1 "Tongan"
c: 683 -1 "Other Polynesian (1990)"
c: 684 -1 "1+ other Polynesian races (2000,ACS)"
c: 685 -1 "Guamanian/Chamorro"
c: 686 -1 "Northern Mariana Islander"
c: 687 -1 "Palauan"
c: 688 -1 "Other Micronesian (1990)"
c: 689 -1 "1+ other Micronesian races (2000,ACS)"
c: 690 -1 "Fijian"
c: 691 -1 "Other Melanesian (1990)"
c: 692 -1 "1+ other Melanesian races (2000,ACS)"
c: 698 -1 "2+ PI races from 2+ PI regions"
c: 699 -1 "Pacific Islander, n.s."
c: 700 -1 "Other race, n.e.c."
c: 801 -1 "White and Black"
c: 802 -1 "White and AIAN"
c: 810 -1 "White and Asian"
c: 811 -1 "White and Chinese"
c: 812 -1 "White and Japanese"
c: 813 -1 "White and Filipino"
c: 814 -1 "White and Asian Indian"
c: 815 -1 "White and Korean"
c: 816 -1 "White and Vietnamese"
c: 817 -1 "White and Asian write-in"
c: 818 -1 "White and other Asian race(s)"
c: 819 -1 "White and two or more Asian groups"
c: 820 -1 "White and PI"
c: 821 -1 "White and Native Hawaiian"
c: 822 -1 "White and Samoan"
c: 823 -1 "White and Guamanian"
c: 824 -1 "White and PI write-in"
c: 825 -1 "White and other PI race(s)"
c: 826 -1 "White and other race write-in"
c: 827 -1 "White and other race, n.e.c."
c: 830 -1 "Black and AIAN"
c: 831 -1 "Black and Asian"
c: 832 -1 "Black and Chinese"
c: 833 -1 "Black and Japanese"
c: 834 -1 "Black and Filipino"
c: 835 -1 "Black and Asian Indian"
c: 836 -1 "Black and Korean"
c: 837 -1 "Black and Asian write-in"
c: 838 -1 "Black and other Asian race(s)"
c: 840 -1 "Black and PI"
c: 841 -1 "Black and PI write-in"
c: 842 -1 "Black and other PI race(s)"
c: 845 -1 "Black and other race write-in"
c: 850 -1 "AIAN and Asian"
c: 851 -1 "AIAN and Filipino (2000 1%)"
c: 852 -1 "AIAN and Asian Indian"
c: 853 -1 "AIAN and Asian write-in (2000 1%)"
c: 854 -1 "AIAN and other Asian race(s)"
c: 855 -1 "AIAN and PI"
c: 856 -1 "AIAN and other race write-in"
c: 860 -1 "Asian and PI"
c: 861 -1 "Chinese and Hawaiian"
c: 862 -1 "Chinese, Filipino, Hawaiian (2000 1%)"
c: 863 -1 "Japanese and Hawaiian (2000 1%)"
c: 864 -1 "Filipino and Hawaiian"
c: 865 -1 "Filipino and PI write-in"
c: 866 -1 "Asian Indian and PI write-in (2000 1%)"
c: 867 -1 "Asian write-in and PI write-in"
c: 868 -1 "Other Asian race(s) and PI race(s)"
c: 880 -1 "Asian and other race write-in"
c: 881 -1 "Chinese and other race write-in"
c: 882 -1 "Japanese and other race write-in"
c: 883 -1 "Filipino and other race write-in"
c: 884 -1 "Asian Indian and other race write-in"
c: 885 -1 "Asian write-in and other race write-in"
c: 886 -1 "Other Asian race(s) and other race write-in"
c: 890 -1 "PI and other race write-in:"
c: 891 -1 "PI write-in and other race write-in"
c: 892 -1 "Other PI race(s) and other race write-in"
c: 899 -1 "API and other race write-in"
c: 901 -1 "White, Black, AIAN"
c: 902 -1 "White, Black, Asian"
c: 903 -1 "White, Black, PI"
c: 904 -1 "White, Black, other race write-in"
c: 905 -1 "White, AIAN, Asian"
c: 906 -1 "White, AIAN, PI"
c: 907 -1 "White, AIAN, other race write-in"
c: 910 -1 "White, Asian, PI"
c: 911 -1 "White, Chinese, Hawaiian"
c: 912 -1 "White, Chinese, Filipino, Hawaiian (2000 1%)"
c: 913 -1 "White, Japanese, Hawaiian (2000 1%)"
c: 914 -1 "White, Filipino, Hawaiian"
c: 915 -1 "Other White, Asian race(s), PI race(s)"
c: 920 -1 "White, Asian, other race write-in"
c: 921 -1 "White, Filipino, other race write-in (2000 1%)"
c: 922 -1 "White, Asian write-in, other race write-in (2000 1%)"
c: 923 -1 "Other White, Asian race(s), other race write-in (2000 1%)"
c: 925 -1 "White, PI, other race write-in"
c: 930 -1 "Black, AIAN, Asian"
c: 931 -1 "Black, AIAN, PI"
c: 932 -1 "Black, AIAN, other race write-in"
c: 933 -1 "Black, Asian, PI"
c: 934 -1 "Black, Asian, other race write-in"
c: 935 -1 "Black, PI, other race write-in"
c: 940 -1 "AIAN, Asian, PI"
c: 941 -1 "AIAN, Asian, other race write-in"
c: 942 -1 "AIAN, PI, other race write-in"
c: 943 -1 "Asian, PI, other race write-in"
c: 949 -1 "2 or 3 races (CPS)"
c: 950 -1 "White, Black, AIAN, Asian"
c: 951 -1 "White, Black, AIAN, PI"
c: 952 -1 "White, Black, AIAN, other race write-in"
c: 953 -1 "White, Black, Asian, PI"
c: 954 -1 "White, Black, Asian, other race write-in"
c: 955 -1 "White, Black, PI, other race write-in"
c: 960 -1 "White, AIAN, Asian, PI"
c: 961 -1 "White, AIAN, Asian, other race write-in"
c: 962 -1 "White, AIAN, PI, other race write-in"
c: 963 -1 "White, Asian, PI, other race write-in"
c: 970 -1 "Black, AIAN, Asian, PI"
c: 971 -1 "Black, AIAN, Asian, other race write-in"
c: 972 -1 "Black, AIAN, PI, other race write-in"
c: 973 -1 "Black, Asian, PI, other race write-in"
c: 974 -1 "AIAN, Asian, PI, other race write-in"
c: 975 -1 "AIAN, Asian, PI, Hawaiian other race write-in"
c: 980 -1 "White, Black, AIAN, Asian, PI"
c: 981 -1 "White, Black, AIAN, Asian, other race write-in"
c: 982 -1 "White, Black, AIAN, PI, other race write-in"
c: 983 -1 "White, Black, Asian, PI, other race write-in"
c: 984 -1 "White, AIAN, Asian, PI, other race write-in"
c: 985 -1 "Black, AIAN, Asian, PI, other race write-in"
c: 986 -1 "Black, AIAN, Asian, PI, Hawaiian, other race write-in"
c: 989 -1 "4 or 5 races (CPS)"
c: 990 -1 "White, Black, AIAN, Asian, PI, other race write-in"
c: 991 -1 "White race; Some other race; Black or African American race "
c: 996 -1 "2+ races, n.e.c. (CPS)"
I: BPL 1 999 1 999 104 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Birthplace [general version]
s: Birthplace [general version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Alabama"
c: 2 -1 "Alaska"
c: 4 -1 "Arizona"
c: 5 -1 "Arkansas"
c: 6 -1 "California"
c: 8 -1 "Colorado"
c: 9 -1 "Connecticut"
c: 10 -1 "Delaware"
c: 11 -1 "District of Columbia"
c: 12 -1 "Florida"
c: 13 -1 "Georgia"
c: 15 -1 "Hawaii"
c: 16 -1 "Idaho"
c: 17 -1 "Illinois"
c: 18 -1 "Indiana"
c: 19 -1 "Iowa"
c: 20 -1 "Kansas"
c: 21 -1 "Kentucky"
c: 22 -1 "Louisiana"
c: 23 -1 "Maine"
c: 24 -1 "Maryland"
c: 25 -1 "Massachusetts"
c: 26 -1 "Michigan"
c: 27 -1 "Minnesota"
c: 28 -1 "Mississippi"
c: 29 -1 "Missouri"
c: 30 -1 "Montana"
c: 31 -1 "Nebraska"
c: 32 -1 "Nevada"
c: 33 -1 "New Hampshire"
c: 34 -1 "New Jersey"
c: 35 -1 "New Mexico"
c: 36 -1 "New York"
c: 37 -1 "North Carolina"
c: 38 -1 "North Dakota"
c: 39 -1 "Ohio"
c: 40 -1 "Oklahoma"
c: 41 -1 "Oregon"
c: 42 -1 "Pennsylvania"
c: 44 -1 "Rhode Island"
c: 45 -1 "South Carolina"
c: 46 -1 "South Dakota"
c: 47 -1 "Tennessee"
c: 48 -1 "Texas"
c: 49 -1 "Utah"
c: 50 -1 "Vermont"
c: 51 -1 "Virginia"
c: 53 -1 "Washington"
c: 54 -1 "West Virginia"
c: 55 -1 "Wisconsin"
c: 56 -1 "Wyoming"
c: 90 -1 "Native American"
c: 99 -1 "United States, ns"
c: 100 -1 "American Samoa"
c: 105 -1 "Guam"
c: 110 -1 "Puerto Rico"
c: 115 -1 "U.S. Virgin Islands"
c: 120 -1 "Other US Possessions"
c: 150 -1 "Canada"
c: 155 -1 "St. Pierre and Miquelon"
c: 160 -1 "Atlantic Islands"
c: 199 -1 "North America, ns"
c: 200 -1 "Mexico"
c: 210 -1 "Central America"
c: 250 -1 "Cuba"
c: 260 -1 "West Indies"
c: 300 -1 "SOUTH AMERICA"
c: 400 -1 "Denmark"
c: 401 -1 "Finland"
c: 402 -1 "Iceland"
c: 403 -1 "Lapland, n.s."
c: 404 -1 "Norway"
c: 405 -1 "Sweden"
c: 410 -1 "England"
c: 411 -1 "Scotland"
c: 412 -1 "Wales"
c: 413 -1 "United Kingdom, ns"
c: 414 -1 "Ireland"
c: 419 -1 "Northern Europe, ns"
c: 420 -1 "Belgium"
c: 421 -1 "France"
c: 422 -1 "Liechtenstein"
c: 423 -1 "Luxembourg"
c: 424 -1 "Monaco"
c: 425 -1 "Netherlands"
c: 426 -1 "Switerland"
c: 429 -1 "Western Europe, ns"
c: 430 -1 "Albania"
c: 431 -1 "Andorra"
c: 432 -1 "Gibraltar"
c: 433 -1 "Greece"
c: 434 -1 "Italy"
c: 435 -1 "Malta"
c: 436 -1 "Portugal"
c: 437 -1 "San Marino"
c: 438 -1 "Spain"
c: 439 -1 "Vatican City"
c: 440 -1 "Southern Europe, ns"
c: 450 -1 "Austria"
c: 451 -1 "Bulgaria"
c: 452 -1 "Czechoslovakia"
c: 453 -1 "Germany"
c: 454 -1 "Hungary"
c: 455 -1 "Poland"
c: 456 -1 "Romania"
c: 457 -1 "Yugoslavia"
c: 458 -1 "Central Europe, ns"
c: 459 -1 "Eastern Europe, ns"
c: 460 -1 "Estonia"
c: 461 -1 "Latvia"
c: 462 -1 "Lithuania"
c: 463 -1 "Baltic States, ns"
c: 465 -1 "Other USSR/Russia"
c: 499 -1 "Europe, ns"
c: 500 -1 "China"
c: 501 -1 "Japan"
c: 502 -1 "Korea"
c: 509 -1 "East Asia, ns"
c: 510 -1 "Brunei"
c: 511 -1 "Cambodia (Kampuchea)"
c: 512 -1 "Indonesia"
c: 513 -1 "Laos"
c: 514 -1 "Malaysia"
c: 515 -1 "Philippines"
c: 516 -1 "Singapore"
c: 517 -1 "Thailand"
c: 518 -1 "Vietnam"
c: 519 -1 "Southeast Asia, ns"
c: 520 -1 "Afghanistan"
c: 521 -1 "India"
c: 522 -1 "Iran"
c: 523 -1 "Maldives"
c: 524 -1 "Nepal"
c: 530 -1 "Bahrain"
c: 531 -1 "Cyprus"
c: 532 -1 "Iraq"
c: 533 -1 "Iraq/Saudi Arabia"
c: 534 -1 "Israel/Palestine"
c: 535 -1 "Jordan"
c: 536 -1 "Kuwait"
c: 537 -1 "Lebanon"
c: 538 -1 "Oman"
c: 539 -1 "Qatar"
c: 540 -1 "Saudi Arabia"
c: 541 -1 "Syria"
c: 542 -1 "Turkey"
c: 543 -1 "United Arab Emirates"
c: 544 -1 "Yemen Arab Republic (North)"
c: 545 -1 "Yemen, PDR (South)"
c: 546 -1 "Persian Gulf States, n.s."
c: 547 -1 "Middle East, ns"
c: 548 -1 "Southwest Asia, nec/ns"
c: 549 -1 "Asia Minor, ns"
c: 550 -1 "South Asia, nec"
c: 599 -1 "Asia, nec/ns"
c: 600 -1 "AFRICA"
c: 700 -1 "Australia and New Zealand"
c: 710 -1 "Pacific Islands"
c: 800 -1 "Antarctica, ns/nec"
c: 900 -1 "Abroad (unknown) or at sea"
c: 950 -1 "Other, nec"
c: 999 -1 "Missing/blank"
I: BPLD 100 99900 100 99900 107 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Birthplace [detailed version]
s: Birthplace [detailed version]
c: "....." -1 -1 "Not Available for this Year and Data Set"
c: 100 -1 "Alabama"
c: 200 -1 "Alaska"
c: 400 -1 "Arizona"
c: 500 -1 "Arkansas"
c: 600 -1 "California"
c: 800 -1 "Colorado"
c: 900 -1 "Connecticut"
c: 1000 -1 "Delaware"
c: 1100 -1 "District of Columbia"
c: 1200 -1 "Florida"
c: 1300 -1 "Georgia"
c: 1500 -1 "Hawaii"
c: 1600 -1 "Idaho"
c: 1610 -1 "Idaho Territory"
c: 1700 -1 "Illinois"
c: 1800 -1 "Indiana"
c: 1900 -1 "Iowa"
c: 2000 -1 "Kansas"
c: 2100 -1 "Kentucky"
c: 2200 -1 "Louisiana"
c: 2300 -1 "Maine"
c: 2400 -1 "Maryland"
c: 2500 -1 "Massachusetts"
c: 2600 -1 "Michigan"
c: 2700 -1 "Minnesota"
c: 2800 -1 "Mississippi"
c: 2900 -1 "Missouri"
c: 3000 -1 "Montana"
c: 3100 -1 "Nebraska"
c: 3200 -1 "Nevada"
c: 3300 -1 "New Hampshire"
c: 3400 -1 "New Jersey"
c: 3500 -1 "New Mexico"
c: 3510 -1 "New Mexico Territory"
c: 3600 -1 "New York"
c: 3700 -1 "North Carolina"
c: 3800 -1 "North Dakota"
c: 3900 -1 "Ohio"
c: 4000 -1 "Oklahoma"
c: 4010 -1 "Indian Territory"
c: 4100 -1 "Oregon"
c: 4200 -1 "Pennsylvania"
c: 4400 -1 "Rhode Island"
c: 4500 -1 "South Carolina"
c: 4600 -1 "South Dakota"
c: 4610 -1 "Dakota Territory"
c: 4700 -1 "Tennessee"
c: 4800 -1 "Texas"
c: 4900 -1 "Utah"
c: 4910 -1 "Utah Territory"
c: 5000 -1 "Vermont"
c: 5100 -1 "Virginia"
c: 5300 -1 "Washington"
c: 5400 -1 "West Virginia"
c: 5500 -1 "Wisconsin"
c: 5600 -1 "Wyoming"
c: 5610 -1 "Wyoming Territory"
c: 9000 -1 "Native American"
c: 9900 -1 "United States, ns"
c: 10000 -1 "American Samoa"
c: 10010 -1 "Samoa, 1940-1950"
c: 10500 -1 "Guam"
c: 11000 -1 "Puerto Rico"
c: 11500 -1 "U.S. Virgin Islands"
c: 11510 -1 "St. Croix"
c: 11520 -1 "St. John"
c: 11530 -1 "St. Thomas"
c: 12000 -1 "Other US Possessions:"
c: 12010 -1 "Johnston Atoll"
c: 12020 -1 "Midway Islands"
c: 12030 -1 "Wake Island"
c: 12040 -1 "Other US Caribbean Islands"
c: 12041 -1 "Navassa Island"
c: 12050 -1 "Other US Pacific Islands"
c: 12051 -1 "Baker Island"
c: 12052 -1 "Howland Island"
c: 12053 -1 "Jarvis Island"
c: 12054 -1 "Kingman Reef"
c: 12055 -1 "Palmyra Atoll"
c: 12060 -1 "Marshall Islands"
c: 12090 -1 "US outlying areas, ns"
c: 12091 -1 "US possessions, ns"
c: 12092 -1 "US territory, ns"
c: 15000 -1 "Canada"
c: 15010 -1 "English Canada"
c: 15011 -1 "British Columbia"
c: 15013 -1 "Alberta"
c: 15015 -1 "Saskatchewan"
c: 15017 -1 "Northwest"
c: 15019 -1 "Ruperts Land"
c: 15020 -1 "Manitoba"
c: 15021 -1 "Red River"
c: 15030 -1 "Ontario/Upper Canada"
c: 15031 -1 "Upper Canada"
c: 15032 -1 "Canada West"
c: 15040 -1 "New Brunswick"
c: 15050 -1 "Nova Scotia"
c: 15051 -1 "Cape Breton"
c: 15052 -1 "Halifax"
c: 15060 -1 "Prince Edward Island"
c: 15070 -1 "Newfoundland"
c: 15080 -1 "French Canada"
c: 15081 -1 "Quebec"
c: 15082 -1 "Lower Canada"
c: 15083 -1 "Canada East"
c: 15500 -1 "St. Pierre and Miquelon"
c: 16000 -1 "Atlantic Islands"
c: 16010 -1 "Bermuda"
c: 16020 -1 "Cape Verde"
c: 16030 -1 "Falkland Islands"
c: 16040 -1 "Greenland"
c: 16050 -1 "St. Helena and Ascension"
c: 16060 -1 "Canary Islands"
c: 19900 -1 "North America, ns"
c: 20000 -1 "Mexico"
c: 21000 -1 "Central America"
c: 21010 -1 "Belize/British Honduras"
c: 21020 -1 "Costa Rica"
c: 21030 -1 "El Salvador"
c: 21040 -1 "Guatemala"
c: 21050 -1 "Honduras"
c: 21060 -1 "Nicaragua"
c: 21070 -1 "Panama"
c: 21071 -1 "Canal Zone"
c: 21090 -1 "Central America, ns"
c: 25000 -1 "Cuba"
c: 26000 -1 "West Indies"
c: 26010 -1 "Dominican Republic"
c: 26020 -1 "Haiti"
c: 26030 -1 "Jamaica"
c: 26040 -1 "British West Indies"
c: 26041 -1 "Anguilla"
c: 26042 -1 "Antigua-Barbuda"
c: 26043 -1 "Bahamas"
c: 26044 -1 "Barbados"
c: 26045 -1 "British Virgin Islands"
c: 26046 -1 "Anegada"
c: 26047 -1 "Cooper"
c: 26048 -1 "Jost Van Dyke"
c: 26049 -1 "Peter"
c: 26050 -1 "Tortola"
c: 26051 -1 "Virgin Gorda"
c: 26052 -1 "Br. Virgin Islands, ns"
c: 26053 -1 "Cayman Islands"
c: 26054 -1 "Dominica"
c: 26055 -1 "Grenada"
c: 26056 -1 "Montserrat"
c: 26057 -1 "St. Kitts-Nevis"
c: 26058 -1 "St. Lucia"
c: 26059 -1 "St. Vincent"
c: 26060 -1 "Trinidad and Tobago"
c: 26061 -1 "Turks and Caicos"
c: 26069 -1 "British West Indies, ns"
c: 26070 -1 "Other West Indies"
c: 26071 -1 "Aruba"
c: 26072 -1 "Netherlands Antilles"
c: 26073 -1 "Bonaire"
c: 26074 -1 "Curacao"
c: 26075 -1 "Dutch St. Maarten"
c: 26076 -1 "Saba"
c: 26077 -1 "St. Eustatius"
c: 26079 -1 "Dutch Caribbean, ns"
c: 26080 -1 "French St. Maarten"
c: 26081 -1 "Guadeloupe"
c: 26082 -1 "Martinique"
c: 26083 -1 "St. Barthelemy"
c: 26089 -1 "French Caribbean, ns"
c: 26090 -1 "Antilles, n.s."
c: 26091 -1 "Caribbean, ns"
c: 26092 -1 "Latin America, ns"
c: 26093 -1 "Leeward Islands, ns"
c: 26094 -1 "West Indies, ns"
c: 26095 -1 "Windward Islands, ns"
c: 29999 -1 "Americas, ns"
c: 30000 -1 "South America"
c: 30005 -1 "Argentina"
c: 30010 -1 "Bolivia"
c: 30015 -1 "Brazil"
c: 30020 -1 "Chile"
c: 30025 -1 "Colombia"
c: 30030 -1 "Ecuador"
c: 30035 -1 "French Guiana"
c: 30040 -1 "Guyana/British Guiana"
c: 30045 -1 "Paraguay"
c: 30050 -1 "Peru"
c: 30055 -1 "Suriname"
c: 30060 -1 "Uruguay"
c: 30065 -1 "Venezuela"
c: 30090 -1 "South America, ns"
c: 30091 -1 "South and Central America, n.s."
c: 40000 -1 "Denmark"
c: 40010 -1 "Faeroe Islands"
c: 40100 -1 "Finland"
c: 40200 -1 "Iceland"
c: 40300 -1 "Lapland, ns"
c: 40400 -1 "Norway"
c: 40410 -1 "Svalbard and Jan Meyen"
c: 40411 -1 "Svalbard"
c: 40412 -1 "Jan Meyen"
c: 40500 -1 "Sweden"
c: 41000 -1 "England"
c: 41010 -1 "Channel Islands"
c: 41011 -1 "Guernsey"
c: 41012 -1 "Jersey"
c: 41020 -1 "Isle of Man"
c: 41100 -1 "Scotland"
c: 41200 -1 "Wales"
c: 41300 -1 "United Kingdom, ns"
c: 41400 -1 "Ireland"
c: 41410 -1 "Northern Ireland"
c: 41900 -1 "Northern Europe, ns"
c: 42000 -1 "Belgium"
c: 42100 -1 "France"
c: 42110 -1 "Alsace-Lorraine"
c: 42111 -1 "Alsace"
c: 42112 -1 "Lorraine"
c: 42200 -1 "Liechtenstein"
c: 42300 -1 "Luxembourg"
c: 42400 -1 "Monaco"
c: 42500 -1 "Netherlands"
c: 42600 -1 "Switzerland"
c: 42900 -1 "Western Europe, ns"
c: 43000 -1 "Albania"
c: 43100 -1 "Andorra"
c: 43200 -1 "Gibraltar"
c: 43300 -1 "Greece"
c: 43310 -1 "Dodecanese Islands"
c: 43320 -1 "Turkey Greece"
c: 43330 -1 "Macedonia"
c: 43400 -1 "Italy"
c: 43500 -1 "Malta"
c: 43600 -1 "Portugal"
c: 43610 -1 "Azores"
c: 43620 -1 "Madeira Islands"
c: 43630 -1 "Cape Verde Islands"
c: 43640 -1 "St. Miguel"
c: 43700 -1 "San Marino"
c: 43800 -1 "Spain"
c: 43900 -1 "Vatican City"
c: 44000 -1 "Southern Europe, ns"
c: 45000 -1 "Austria"
c: 45010 -1 "Austria-Hungary"
c: 45020 -1 "Austria-Graz"
c: 45030 -1 "Austria-Linz"
c: 45040 -1 "Austria-Salzburg"
c: 45050 -1 "Austria-Tyrol"
c: 45060 -1 "Austria-Vienna"
c: 45070 -1 "Austria-Kaernsten"
c: 45080 -1 "Austria-Neustadt"
c: 45100 -1 "Bulgaria"
c: 45200 -1 "Czechoslovakia"
c: 45210 -1 "Bohemia"
c: 45211 -1 "Bohemia-Moravia"
c: 45212 -1 "Slovakia"
c: 45213 -1 "Czech Republic"
c: 45300 -1 "Germany"
c: 45301 -1 "Berlin"
c: 45302 -1 "West Berlin"
c: 45303 -1 "East Berlin"
c: 45310 -1 "West Germany"
c: 45311 -1 "Baden"
c: 45312 -1 "Bavaria"
c: 45313 -1 "Braunshweig"
c: 45314 -1 "Bremen"
c: 45315 -1 "Hamburg"
c: 45316 -1 "Hanover"
c: 45317 -1 "Hessen"
c: 45318 -1 "Hessen Nassau"
c: 45319 -1 "Holstein"
c: 45320 -1 "Lippe"
c: 45321 -1 "Lubeck"
c: 45322 -1 "Oldenburg"
c: 45323 -1 "Rhine Province"
c: 45324 -1 "Schleswig"
c: 45325 -1 "Schleswig-Holstein"
c: 45327 -1 "Waldeck"
c: 45328 -1 "West Berlin"
c: 45329 -1 "Waldecker"
c: 45330 -1 "Wittenberg"
c: 45331 -1 "Frankfurt"
c: 45333 -1 "Nordheim-Westfalen"
c: 45340 -1 "East Germany"
c: 45341 -1 "Anhalt"
c: 45342 -1 "Brandenburg"
c: 45344 -1 "Mecklenburg"
c: 45345 -1 "Sachsen-Altenburg"
c: 45346 -1 "Sachsen-Coburg"
c: 45347 -1 "Sachsen-Gotha"
c: 45350 -1 "Probable Saxony"
c: 45351 -1 "Schwerin"
c: 45353 -1 "Probably Thuringian States"
c: 45360 -1 "Prussia, nec"
c: 45361 -1 "Hohenzollern"
c: 45362 -1 "Niedersachsen"
c: 45400 -1 "Hungary"
c: 45500 -1 "Poland"
c: 45510 -1 "Austrian Poland"
c: 45511 -1 "Galicia"
c: 45520 -1 "German Poland"
c: 45521 -1 "East Prussia"
c: 45522 -1 "Pomerania"
c: 45523 -1 "Posen"
c: 45524 -1 "Prussian Poland"
c: 45525 -1 "Silesia"
c: 45526 -1 "West Prussia"
c: 45530 -1 "Russian Poland"
c: 45600 -1 "Romania"
c: 45610 -1 "Transylvania"
c: 45700 -1 "Yugoslavia"
c: 45710 -1 "Croatia"
c: 45720 -1 "Montenegro"
c: 45730 -1 "Serbia"
c: 45740 -1 "Bosnia"
c: 45750 -1 "Dalmatia"
c: 45760 -1 "Slovonia"
c: 45770 -1 "Carniola"
c: 45780 -1 "Slovenia"
c: 45790 -1 "Kosovo"
c: 45800 -1 "Central Europe, ns"
c: 45900 -1 "Eastern Europe, ns"
c: 46000 -1 "Estonia"
c: 46100 -1 "Latvia"
c: 46200 -1 "Lithuania"
c: 46300 -1 "Baltic States, ns"
c: 46500 -1 "Other USSR/Russia"
c: 46510 -1 "Byelorussia"
c: 46520 -1 "Moldavia"
c: 46521 -1 "Bessarabia"
c: 46530 -1 "Ukraine"
c: 46540 -1 "Armenia"
c: 46541 -1 "Azerbaijan"
c: 46542 -1 "Georgia"
c: 46543 -1 "Kazakhstan"
c: 46544 -1 "Kirghizia"
c: 46545 -1 "Tadzhik"
c: 46546 -1 "Turkmenistan"
c: 46547 -1 "Uzbekistan"
c: 46548 -1 "Siberia"
c: 46590 -1 "USSR, ns"
c: 49900 -1 "Europe, ns."
c: 50000 -1 "China"
c: 50010 -1 "Hong Kong"
c: 50020 -1 "Macau"
c: 50030 -1 "Mongolia"
c: 50040 -1 "Taiwan"
c: 50100 -1 "Japan"
c: 50200 -1 "Korea"
c: 50210 -1 "North Korea"
c: 50220 -1 "South Korea"
c: 50900 -1 "East Asia, ns"
c: 51000 -1 "Brunei"
c: 51100 -1 "Cambodia (Kampuchea)"
c: 51200 -1 "Indonesia"
c: 51210 -1 "East Indies"
c: 51220 -1 "East Timor"
c: 51300 -1 "Laos"
c: 51400 -1 "Malaysia"
c: 51500 -1 "Philippines"
c: 51600 -1 "Singapore"
c: 51700 -1 "Thailand"
c: 51800 -1 "Vietnam"
c: 51900 -1 "Southeast Asia, ns"
c: 51910 -1 "Indochina, ns"
c: 52000 -1 "Afghanistan"
c: 52100 -1 "India"
c: 52110 -1 "Bangladesh"
c: 52120 -1 "Bhutan"
c: 52130 -1 "Burma (Myanmar)"
c: 52140 -1 "Pakistan"
c: 52150 -1 "Sri Lanka (Ceylon)"
c: 52200 -1 "Iran"
c: 52300 -1 "Maldives"
c: 52400 -1 "Nepal"
c: 53000 -1 "Bahrain"
c: 53100 -1 "Cyprus"
c: 53200 -1 "Iraq"
c: 53210 -1 "Mesopotamia"
c: 53300 -1 "Iraq/Saudi Arabia"
c: 53400 -1 "Israel/Palestine"
c: 53410 -1 "Gaza Strip"
c: 53420 -1 "Palestine"
c: 53430 -1 "West Bank"
c: 53440 -1 "Israel"
c: 53500 -1 "Jordan"
c: 53600 -1 "Kuwait"
c: 53700 -1 "Lebanon"
c: 53800 -1 "Oman"
c: 53900 -1 "Qatar"
c: 54000 -1 "Saudi Arabia"
c: 54100 -1 "Syria"
c: 54200 -1 "Turkey"
c: 54210 -1 "European Turkey"
c: 54220 -1 "Asian Turkey"
c: 54300 -1 "United Arab Emirates"
c: 54400 -1 "Yemen Arab Republic (North)"
c: 54500 -1 "Yemen, PDR (South)"
c: 54600 -1 "Persian Gulf States, ns"
c: 54700 -1 "Middle East, ns"
c: 54800 -1 "Southwest Asia, nec/ns"
c: 54900 -1 "Asia Minor, ns"
c: 55000 -1 "South Asia, nec"
c: 59900 -1 "Asia, nec/ns"
c: 60000 -1 "Africa"
c: 60010 -1 "Northern Africa"
c: 60011 -1 "Algeria"
c: 60012 -1 "Egypt/United Arab Rep."
c: 60013 -1 "Libya"
c: 60014 -1 "Morocco"
c: 60015 -1 "Sudan"
c: 60016 -1 "Tunisia"
c: 60017 -1 "Western Sahara"
c: 60019 -1 "North Africa, ns"
c: 60020 -1 "Benin"
c: 60021 -1 "Burkina Faso"
c: 60022 -1 "Gambia"
c: 60023 -1 "Ghana"
c: 60024 -1 "Guinea"
c: 60025 -1 "Guinea-Bissau"
c: 60026 -1 "Ivory Coast"
c: 60027 -1 "Liberia"
c: 60028 -1 "Mali"
c: 60029 -1 "Mauritania"
c: 60030 -1 "Niger"
c: 60031 -1 "Nigeria"
c: 60032 -1 "Senegal"
c: 60033 -1 "Sierra Leone"
c: 60034 -1 "Togo"
c: 60038 -1 "Western Africa, ns"
c: 60039 -1 "French West Africa, ns"
c: 60040 -1 "British Indian Ocean Territory"
c: 60041 -1 "Burundi"
c: 60042 -1 "Comoros"
c: 60043 -1 "Djibouti"
c: 60044 -1 "Ethiopia"
c: 60045 -1 "Kenya"
c: 60046 -1 "Madagascar"
c: 60047 -1 "Malawi"
c: 60048 -1 "Mauritius"
c: 60049 -1 "Mozambique"
c: 60050 -1 "Reunion"
c: 60051 -1 "Rwanda"
c: 60052 -1 "Seychelles"
c: 60053 -1 "Somalia"
c: 60054 -1 "Tanzania"
c: 60055 -1 "Uganda"
c: 60056 -1 "Zambia"
c: 60057 -1 "Zimbabwe"
c: 60058 -1 "Bassas de India"
c: 60059 -1 "Europa"
c: 60060 -1 "Gloriosos"
c: 60061 -1 "Juan de Nova"
c: 60062 -1 "Mayotte"
c: 60063 -1 "Tromelin"
c: 60064 -1 "Eastern Africa, nec/ns"
c: 60065 -1 "Eritrea"
c: 60070 -1 "Central Africa"
c: 60071 -1 "Angola"
c: 60072 -1 "Cameroon"
c: 60073 -1 "Central African Republic"
c: 60074 -1 "Chad"
c: 60075 -1 "Congo"
c: 60076 -1 "Equatorial Guinea"
c: 60077 -1 "Gabon"
c: 60078 -1 "Sao Tome and Principe"
c: 60079 -1 "Zaire"
c: 60080 -1 "Central Africa, ns"
c: 60081 -1 "Equatorial Africa, ns"
c: 60082 -1 "French Equatorial Africa, ns"
c: 60090 -1 "Southern Africa:"
c: 60091 -1 "Botswana"
c: 60092 -1 "Lesotho"
c: 60093 -1 "Namibia"
c: 60094 -1 "South Africa (Union of)"
c: 60095 -1 "Swaziland"
c: 60096 -1 "Southern Africa, ns"
c: 60099 -1 "Africa, ns/nec"
c: 70000 -1 "Australia and New Zealand"
c: 70010 -1 "Australia"
c: 70011 -1 "Ashmore and Cartier Islands"
c: 70012 -1 "Coral Sea Islands Territory"
c: 70020 -1 "New Zealand"
c: 71000 -1 "Pacific Islands"
c: 71010 -1 "New Caledonia"
c: 71011 -1 "Norfolk Islands"
c: 71012 -1 "Papua New Guinea"
c: 71013 -1 "Solomon Islands"
c: 71014 -1 "Vanuatu (New Hebrides)"
c: 71019 -1 "Melanesia, ns"
c: 71020 -1 "Cook Islands"
c: 71021 -1 "Fiji"
c: 71022 -1 "French Polynesia"
c: 71023 -1 "Tonga"
c: 71024 -1 "Wallis and Futuna Islands"
c: 71025 -1 "Western Samoa"
c: 71029 -1 "Polynesia, ns"
c: 71030 -1 "Christmas Island"
c: 71031 -1 "Cocos Islands"
c: 71032 -1 "Kiribati"
c: 71033 -1 "Canton and Enderbury"
c: 71034 -1 "Nauru"
c: 71035 -1 "Niue"
c: 71036 -1 "Pitcairn Island"
c: 71037 -1 "Tokelau"
c: 71038 -1 "Tuvalu"
c: 71039 -1 "Micronesia, ns"
c: 71040 -1 "US Pacific Trust Territories"
c: 71041 -1 "Marshall Islands"
c: 71042 -1 "Micronesia"
c: 71043 -1 "Kosrae"
c: 71044 -1 "Pohnpei"
c: 71045 -1 "Truk"
c: 71046 -1 "Yap"
c: 71047 -1 "Northern Mariana Islands"
c: 71048 -1 "Palau"
c: 71049 -1 "Pacific Trust Terr, ns"
c: 71050 -1 "Clipperton Island"
c: 71090 -1 "Oceania, ns/nec"
c: 80000 -1 "Antarctica, ns/nec"
c: 80010 -1 "Bouvet Islands"
c: 80020 -1 "British Antarctic Terr."
c: 80030 -1 "Dronning Maud Land"
c: 80040 -1 "French Southern and Antarctic Lands"
c: 80050 -1 "Heard and McDonald Islands"
c: 90000 -1 "Abroad (unknown) or at sea"
c: 90010 -1 "Abroad, ns"
c: 90011 -1 "Abroad (US citizen)"
c: 90020 -1 "At sea"
c: 90021 -1 "At sea (US citizen)"
c: 90022 -1 "At sea or abroad (U.S. citizen)"
c: 95000 -1 "Other, nec"
c: 99900 -1 "Missing/blank"
I: MBPL 0 999 -1 999 112 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxxx.x.x.xxxx.....xx.....xx................
l: Mother''s birthplace [general version]
s: Mother''s birthplace [general version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not Applicable"
c: 1 -1 "Alabama"
c: 2 -1 "Alaska"
c: 4 -1 "Arizona"
c: 5 -1 "Arkansas"
c: 6 -1 "California"
c: 8 -1 "Colorado"
c: 9 -1 "Connecticut"
c: 10 -1 "Delaware"
c: 11 -1 "District of Columbia"
c: 12 -1 "Florida"
c: 13 -1 "Georgia"
c: 15 -1 "Hawaii"
c: 16 -1 "Idaho"
c: 17 -1 "Illinois"
c: 18 -1 "Indiana"
c: 19 -1 "Iowa"
c: 20 -1 "Kansas"
c: 21 -1 "Kentucky"
c: 22 -1 "Louisiana"
c: 23 -1 "Maine"
c: 24 -1 "Maryland"
c: 25 -1 "Massachusetts"
c: 26 -1 "Michigan"
c: 27 -1 "Minnesota"
c: 28 -1 "Mississippi"
c: 29 -1 "Missouri"
c: 30 -1 "Montana"
c: 31 -1 "Nebraska"
c: 32 -1 "Nevada"
c: 33 -1 "New Hampshire"
c: 34 -1 "New Jersey"
c: 35 -1 "New Mexico"
c: 36 -1 "New York"
c: 37 -1 "North Carolina"
c: 38 -1 "North Dakota"
c: 39 -1 "Ohio"
c: 40 -1 "Oklahoma"
c: 41 -1 "Oregon"
c: 42 -1 "Pennsylvania"
c: 44 -1 "Rhode Island"
c: 45 -1 "South Carolina"
c: 46 -1 "South Dakota"
c: 47 -1 "Tennessee"
c: 48 -1 "Texas"
c: 49 -1 "Utah"
c: 50 -1 "Vermont"
c: 51 -1 "Virginia"
c: 53 -1 "Washington"
c: 54 -1 "West Virginia"
c: 55 -1 "Wisconsin"
c: 56 -1 "Wyoming"
c: 90 -1 "Native American"
c: 99 -1 "United States, ns"
c: 100 -1 "American Samoa"
c: 105 -1 "Guam"
c: 110 -1 "Puerto Rico"
c: 115 -1 "U.S. Virgin Islands"
c: 120 -1 "Other US Possessions"
c: 150 -1 "Canada"
c: 155 -1 "St. Pierre and Miquelon"
c: 160 -1 "Atlantic Islands"
c: 199 -1 "North America, n.s."
c: 200 -1 "Mexico"
c: 210 -1 "Central America"
c: 250 -1 "Cuba"
c: 260 -1 "West Indies"
c: 300 -1 "SOUTH AMERICA"
c: 400 -1 "Denmark"
c: 401 -1 "Finland"
c: 402 -1 "Iceland"
c: 403 -1 "Lapland, n.s."
c: 404 -1 "Norway"
c: 405 -1 "Sweden"
c: 410 -1 "England"
c: 411 -1 "Scotland"
c: 412 -1 "Wales"
c: 413 -1 "United Kingdom, ns"
c: 414 -1 "Ireland"
c: 420 -1 "Belgium"
c: 421 -1 "France"
c: 422 -1 "Liechtenstein"
c: 423 -1 "Luxembourg"
c: 425 -1 "Netherlands"
c: 426 -1 "Switerland"
c: 430 -1 "Albania"
c: 432 -1 "Gibraltar"
c: 433 -1 "Greece"
c: 434 -1 "Italy"
c: 435 -1 "Malta"
c: 436 -1 "Portugal"
c: 438 -1 "Spain"
c: 440 -1 "Southern Europe, n.s."
c: 450 -1 "Austria"
c: 451 -1 "Bulgaria"
c: 452 -1 "Czechoslovakia"
c: 453 -1 "Germany"
c: 454 -1 "Hungary"
c: 455 -1 "Poland"
c: 456 -1 "Romania"
c: 457 -1 "Yugoslavia"
c: 458 -1 "Central Europe, ns"
c: 459 -1 "Eastern Europe, n.s."
c: 460 -1 "Estonia"
c: 461 -1 "Latvia"
c: 462 -1 "Lithuania"
c: 463 -1 "Baltic States, n.s."
c: 465 -1 "Other USSR/Russia"
c: 499 -1 "Europe, nec/ns"
c: 500 -1 "China"
c: 501 -1 "Japan"
c: 502 -1 "Korea"
c: 510 -1 "Brunei"
c: 512 -1 "Indonesia"
c: 514 -1 "Malaysia"
c: 515 -1 "Philippines"
c: 517 -1 "Thailand"
c: 518 -1 "Vietnam"
c: 521 -1 "India"
c: 522 -1 "Iran"
c: 531 -1 "Cyprus"
c: 532 -1 "Iraq"
c: 534 -1 "Israel/Palestine"
c: 535 -1 "Jordan"
c: 537 -1 "Lebanon"
c: 540 -1 "Saudi Arabia"
c: 541 -1 "Syria"
c: 542 -1 "Turkey"
c: 545 -1 "Yemen, PDR (South)"
c: 547 -1 "Middle East, n.s."
c: 548 -1 "Southwest Asia, nec/ns"
c: 549 -1 "Asia Minor, n.s."
c: 550 -1 "South Asia, n.e.c."
c: 599 -1 "Asia, nec/ns"
c: 600 -1 "AFRICA"
c: 700 -1 "Australia and New Zealand"
c: 710 -1 "Pacific Islands"
c: 900 -1 "Abroad (unknown) or at sea"
c: 950 -1 "Other n.e.c."
c: 997 -1 "Unknown"
c: 999 -1 "Missing/blank"
I: MBPLD 0 99900 -1 99900 115 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxxx.x.x.xxxx.....xx.....xx................
l: Mother''s birthplace [detailed version]
s: Mother''s birthplace [detailed version]
c: "....." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not Applicable"
c: 100 -1 "Alabama"
c: 200 -1 "Alaska"
c: 400 -1 "Arizona"
c: 500 -1 "Arkansas"
c: 600 -1 "California"
c: 800 -1 "Colorado"
c: 900 -1 "Connecticut"
c: 1000 -1 "Delaware"
c: 1100 -1 "District of Columbia"
c: 1200 -1 "Florida"
c: 1300 -1 "Georgia"
c: 1500 -1 "Hawaii"
c: 1600 -1 "Idaho"
c: 1610 -1 "Idaho Territory"
c: 1700 -1 "Illinois"
c: 1800 -1 "Indiana"
c: 1900 -1 "Iowa"
c: 2000 -1 "Kansas"
c: 2100 -1 "Kentucky"
c: 2200 -1 "Louisiana"
c: 2300 -1 "Maine"
c: 2400 -1 "Maryland"
c: 2500 -1 "Massachusetts"
c: 2600 -1 "Michigan"
c: 2700 -1 "Minnesota"
c: 2800 -1 "Mississippi"
c: 2900 -1 "Missouri"
c: 3000 -1 "Montana"
c: 3100 -1 "Nebraska"
c: 3200 -1 "Nevada"
c: 3300 -1 "New Hampshire"
c: 3400 -1 "New Jersey"
c: 3500 -1 "New Mexico"
c: 3510 -1 "New Mexico Territory"
c: 3600 -1 "New York"
c: 3700 -1 "North Carolina"
c: 3800 -1 "North Dakota"
c: 3900 -1 "Ohio"
c: 4000 -1 "Oklahoma"
c: 4010 -1 "Indian Territory"
c: 4100 -1 "Oregon"
c: 4200 -1 "Pennsylvania"
c: 4400 -1 "Rhode Island"
c: 4500 -1 "South Carolina"
c: 4600 -1 "South Dakota"
c: 4610 -1 "Dakota Territory"
c: 4700 -1 "Tennessee"
c: 4800 -1 "Texas"
c: 4900 -1 "Utah"
c: 4910 -1 "Utah Territory"
c: 5000 -1 "Vermont"
c: 5100 -1 "Virginia"
c: 5300 -1 "Washington"
c: 5400 -1 "West Virginia"
c: 5500 -1 "Wisconsin"
c: 5600 -1 "Wyoming"
c: 5610 -1 "Wyoming Territory"
c: 9000 -1 "Native American"
c: 9900 -1 "United States, n.s."
c: 10000 -1 "American Samoa"
c: 10010 -1 "Samoa, 1940-1950"
c: 10500 -1 "Guam"
c: 11000 -1 "Puerto Rico"
c: 11500 -1 "U.S. Virgin Islands"
c: 11510 -1 "St. Croix"
c: 11520 -1 "St. John"
c: 11530 -1 "St. Thomas"
c: 12000 -1 "Other US Possessions"
c: 12041 -1 "Navassa Island"
c: 12050 -1 "Other US Pacific Is."
c: 12054 -1 "Kingman Island"
c: 12056 -1 "Canton and Enderbury Island"
c: 12091 -1 "US Possessions, n.s."
c: 15000 -1 "Canada"
c: 15010 -1 "English Canada"
c: 15011 -1 "British Columbia"
c: 15013 -1 "Alberta"
c: 15015 -1 "Saskatchewan"
c: 15017 -1 "Northwest"
c: 15019 -1 "Ruperts Land"
c: 15020 -1 "Manitoba"
c: 15021 -1 "Red River"
c: 15030 -1 "Ontario/Upper Canada"
c: 15031 -1 "Upper Canada"
c: 15032 -1 "Canada West"
c: 15040 -1 "New Brunswick"
c: 15050 -1 "Nova Scotia"
c: 15051 -1 "Cape Breton"
c: 15052 -1 "Halifax"
c: 15060 -1 "Prince Edward Island"
c: 15070 -1 "Newfoundland"
c: 15080 -1 "French Canada"
c: 15081 -1 "Quebec"
c: 15082 -1 "Lower Canada"
c: 15083 -1 "Canada East"
c: 15500 -1 "St. Pierre and Miquelon"
c: 16000 -1 "Atlantic Islands"
c: 16010 -1 "Bermuda"
c: 16020 -1 "Cape Verde"
c: 16040 -1 "Greenland"
c: 16050 -1 "St. Helena and Ascension"
c: 16060 -1 "Canary Islands"
c: 19900 -1 "North America, n.s."
c: 20000 -1 "Mexico"
c: 21000 -1 "Central America"
c: 21010 -1 "Belize/British Honduras"
c: 21020 -1 "Costa Rica"
c: 21030 -1 "El Salvador"
c: 21040 -1 "Guatemala"
c: 21050 -1 "Honduras"
c: 21060 -1 "Nicaragua"
c: 21070 -1 "Panama"
c: 21071 -1 "Canal Zone"
c: 21090 -1 "Central America, n.s."
c: 25000 -1 "Cuba"
c: 26000 -1 "West Indies"
c: 26010 -1 "Dominican Republic"
c: 26020 -1 "Haiti"
c: 26030 -1 "Jamaica"
c: 26040 -1 "British West Indies"
c: 26042 -1 "Antigua-Barbuda"
c: 26043 -1 "Bahamas"
c: 26044 -1 "Barbados"
c: 26045 -1 "British Virgin Islands"
c: 26047 -1 "Cooper"
c: 26050 -1 "Tortola"
c: 26051 -1 "Virgin Gorda"
c: 26053 -1 "Cayman Isles"
c: 26054 -1 "Dominica"
c: 26055 -1 "Grenada"
c: 26056 -1 "Montserrat"
c: 26057 -1 "St. Kitts-Nevis"
c: 26058 -1 "St. Lucia"
c: 26059 -1 "St. Vincent"
c: 26060 -1 "Trinidad and Tobago"
c: 26061 -1 "Turks and Caicos"
c: 26069 -1 "British West Indies, n.s."
c: 26070 -1 "Other West Indies"
c: 26071 -1 "Aruba"
c: 26072 -1 "Netherlands Antilles"
c: 26073 -1 "Bonaire"
c: 26074 -1 "Curacao"
c: 26075 -1 "Dutch St. Maarten"
c: 26076 -1 "Saba"
c: 26077 -1 "St. Eustasius"
c: 26079 -1 "Dutch Caribbean, n.s."
c: 26080 -1 "French St. Maarten"
c: 26081 -1 "Guadeloupe"
c: 26082 -1 "Martinique"
c: 26083 -1 "St. Barthelemy"
c: 26089 -1 "French Caribbean, n.s."
c: 26090 -1 "Antilles, n.s."
c: 26091 -1 "Caribbean, n.s. / n.e.c."
c: 26093 -1 "Leeward Islands, n.s."
c: 26094 -1 "West Indies, n.s."
c: 26095 -1 "Winward Islands"
c: 30000 -1 "SOUTH AMERICA"
c: 30005 -1 "Argentina"
c: 30010 -1 "Bolivia"
c: 30015 -1 "Brazil"
c: 30020 -1 "Chile"
c: 30025 -1 "Colombia"
c: 30030 -1 "Ecuador"
c: 30035 -1 "French Guiana"
c: 30040 -1 "Guyana/British Guiana"
c: 30045 -1 "Paraguay"
c: 30050 -1 "Peru"
c: 30055 -1 "Suriname"
c: 30060 -1 "Uruguay"
c: 30065 -1 "Venezuela"
c: 30090 -1 "South America, n.s."
c: 30091 -1 "South and Central America, n.s."
c: 40000 -1 "Denmark"
c: 40010 -1 "Faroe Islands"
c: 40100 -1 "Finland"
c: 40200 -1 "Iceland"
c: 40300 -1 "Lapland, ns"
c: 40400 -1 "Norway"
c: 40500 -1 "Sweden"
c: 41000 -1 "England"
c: 41010 -1 "Channel Islands"
c: 41011 -1 "Guernsey"
c: 41012 -1 "Jersey"
c: 41020 -1 "Isle of Man"
c: 41100 -1 "Scotland"
c: 41200 -1 "Wales"
c: 41300 -1 "United Kingdom, n.s."
c: 41400 -1 "Ireland"
c: 41410 -1 "Northern Ireland"
c: 42000 -1 "Belgium"
c: 42100 -1 "France"
c: 42110 -1 "Alsace-Lorraine"
c: 42111 -1 "Alsace"
c: 42112 -1 "Lorraine"
c: 42200 -1 "Liechtenstein"
c: 42300 -1 "Luxembourg"
c: 42500 -1 "Netherlands"
c: 42600 -1 "Switzerland"
c: 43000 -1 "Albania"
c: 43200 -1 "Gibraltar"
c: 43300 -1 "Greece"
c: 43310 -1 "Dodecanese Islands"
c: 43320 -1 "Turkey Greece"
c: 43330 -1 "Macedonia"
c: 43400 -1 "Italy"
c: 43500 -1 "Malta"
c: 43600 -1 "Portugal"
c: 43610 -1 "Azores"
c: 43620 -1 "Madeira Islands"
c: 43630 -1 "Cape Verde Islands"
c: 43640 -1 "St. Miguel"
c: 43700 -1 "San Marino"
c: 43800 -1 "Spain"
c: 44000 -1 "Southern Europe, ns"
c: 45000 -1 "Austria"
c: 45010 -1 "Austria-Hungary"
c: 45020 -1 "Austria-Graz"
c: 45030 -1 "Austria-Linz"
c: 45040 -1 "Austria-Salzburg"
c: 45050 -1 "Austria-Tyrol"
c: 45060 -1 "Austria-Vienna"
c: 45070 -1 "Austria-Kaernten"
c: 45080 -1 "Austria-Neustadt"
c: 45100 -1 "Bulgaria"
c: 45200 -1 "Czechoslovakia"
c: 45210 -1 "Bohemia"
c: 45211 -1 "Bohemia-Moravia"
c: 45212 -1 "Slovakia"
c: 45300 -1 "Germany"
c: 45301 -1 "Berlin"
c: 45310 -1 "West Germany"
c: 45311 -1 "Baden"
c: 45312 -1 "Bavaria"
c: 45313 -1 "Bremen"
c: 45314 -1 "Brunswick"
c: 45315 -1 "Hamburg"
c: 45316 -1 "Hanover"
c: 45317 -1 "Hessen"
c: 45318 -1 "Hessen Nassau"
c: 45319 -1 "Holstein"
c: 45320 -1 "Lippe"
c: 45321 -1 "Lubeck"
c: 45322 -1 "Oldenburg"
c: 45323 -1 "Rhine Province"
c: 45324 -1 "Schleswig"
c: 45325 -1 "Schleswig-Holstein"
c: 45326 -1 "Schwarzburg"
c: 45327 -1 "Waldeck"
c: 45328 -1 "West Berlin"
c: 45329 -1 "Westphalia"
c: 45330 -1 "Wurttemberg"
c: 45331 -1 "Frankfurt"
c: 45332 -1 "Saarland"
c: 45333 -1 "Nordrheim-Westfalen"
c: 45340 -1 "East Germany"
c: 45341 -1 "Anhalt"
c: 45342 -1 "Brandenburg"
c: 45343 -1 "East Berlin"
c: 45344 -1 "Mecklenburg"
c: 45345 -1 "Sachsen-Altenburg"
c: 45346 -1 "Sachsen-Coburg"
c: 45347 -1 "Sachsen-Gotha"
c: 45348 -1 "Sachsen-Meiningen"
c: 45349 -1 "Sachsen-Weimar-Eisenach"
c: 45350 -1 "Saxony"
c: 45351 -1 "Schwerin"
c: 45352 -1 "Strelitz"
c: 45353 -1 "Thuringian States"
c: 45360 -1 "Prussia, n.e.c."
c: 45361 -1 "Hohenzollern"
c: 45362 -1 "Niedersachsen"
c: 45400 -1 "Hungary"
c: 45500 -1 "Poland"
c: 45510 -1 "Austrian Poland"
c: 45511 -1 "Galicia"
c: 45520 -1 "German Poland"
c: 45521 -1 "East Prussia"
c: 45522 -1 "Pomerania"
c: 45523 -1 "Posen"
c: 45524 -1 "Prussian Poland"
c: 45525 -1 "Silesia"
c: 45526 -1 "West Prussia"
c: 45530 -1 "Russian Poland"
c: 45600 -1 "Romania"
c: 45610 -1 "Transylvania"
c: 45700 -1 "Yugoslavia"
c: 45710 -1 "Croatia"
c: 45720 -1 "Montenegro"
c: 45730 -1 "Serbia"
c: 45740 -1 "Bosnia"
c: 45750 -1 "Dalmatia"
c: 45760 -1 "Slovonia"
c: 45770 -1 "Carniola"
c: 45780 -1 "Slovenia"
c: 45800 -1 "Central Europe, n.s."
c: 45900 -1 "Eastern Europe, n.s."
c: 46000 -1 "Estonia"
c: 46100 -1 "Latvia"
c: 46200 -1 "Lithuania"
c: 46300 -1 "Baltic States, n.s."
c: 46500 -1 "Other USSR/Russia"
c: 46510 -1 "Byelorussia"
c: 46520 -1 "Moldavia"
c: 46521 -1 "Bessarabia"
c: 46530 -1 "Ukraine"
c: 46540 -1 "Armenia"
c: 46543 -1 "Kazakhstan"
c: 46544 -1 "Kirghizia"
c: 46548 -1 "Siberia"
c: 46590 -1 "USSR, n.s."
c: 49900 -1 "Europe, n.e.c./n.s."
c: 50000 -1 "China"
c: 50010 -1 "Hong Kong"
c: 50020 -1 "Macau"
c: 50040 -1 "Taiwan"
c: 50100 -1 "Japan"
c: 50200 -1 "Korea"
c: 50210 -1 "North Korea"
c: 50220 -1 "South Korea"
c: 51000 -1 "Brunei"
c: 51200 -1 "Indonesia"
c: 51210 -1 "East Indies"
c: 51300 -1 "Laos"
c: 51400 -1 "Malaysia"
c: 51500 -1 "Philippines"
c: 51700 -1 "Thailand"
c: 51800 -1 "Vietnam"
c: 52100 -1 "India"
c: 52130 -1 "Burma (Myanmar)"
c: 52140 -1 "Pakistan"
c: 52150 -1 "Sri Lanka (Ceylon)"
c: 52200 -1 "Iran"
c: 53100 -1 "Cyprus"
c: 53200 -1 "Iraq"
c: 53210 -1 "Mesopotamia"
c: 53400 -1 "Israel/Palestine"
c: 53420 -1 "Palestine"
c: 53500 -1 "Jordan"
c: 53700 -1 "Lebanon"
c: 53800 -1 "Oman"
c: 54000 -1 "Saudi Arabia"
c: 54100 -1 "Syria"
c: 54200 -1 "Turkey"
c: 54210 -1 "European Turkey"
c: 54220 -1 "Asian Turkey"
c: 54500 -1 "Yemen, PDR (South)"
c: 54700 -1 "Middle East, n.s."
c: 54800 -1 "Southwest Asia, n.e.c./n.s."
c: 54900 -1 "Asia Minor, n.s."
c: 55000 -1 "South Asia, n.e.c."
c: 59900 -1 "Asia, n.e.c./n.s."
c: 60000 -1 "AFRICA"
c: 60010 -1 "Northern Africa"
c: 60011 -1 "Algeria"
c: 60012 -1 "Egypt/United Arab Rep."
c: 60013 -1 "Libya"
c: 60014 -1 "Morocco"
c: 60015 -1 "Sudan"
c: 60016 -1 "Tunisia"
c: 60020 -1 "Benin"
c: 60021 -1 "Burkina Faso"
c: 60022 -1 "Gambia"
c: 60023 -1 "Ghana"
c: 60024 -1 "Guinea"
c: 60026 -1 "Ivory Coast"
c: 60027 -1 "Liberia"
c: 60028 -1 "Mali"
c: 60030 -1 "Niger"
c: 60031 -1 "Nigeria"
c: 60033 -1 "Sierra Leone"
c: 60038 -1 "Western Africa, n.s."
c: 60040 -1 "British Indian Ocean Territory"
c: 60042 -1 "Comoros"
c: 60044 -1 "Ethiopia"
c: 60046 -1 "Madagascar"
c: 60048 -1 "Mauritius"
c: 60050 -1 "Reunion"
c: 60052 -1 "Seychelles"
c: 60057 -1 "Zimbabwe"
c: 60070 -1 "Central Africa"
c: 60075 -1 "Congo"
c: 60090 -1 "Southern Africa"
c: 60094 -1 "South Africa (Union of)"
c: 60096 -1 "Southern Africa, n.s."
c: 60099 -1 "Africa, n.s./n.e.c."
c: 70000 -1 "Australia and New Zealand"
c: 70010 -1 "Australia"
c: 70020 -1 "New Zealand"
c: 71000 -1 "Pacific Islands"
c: 71012 -1 "Papua New Guinea"
c: 71013 -1 "Solomon Islands"
c: 71020 -1 "Cook Islands"
c: 71021 -1 "Fiji"
c: 71022 -1 "French Polynesia"
c: 71023 -1 "Tonga"
c: 71025 -1 "Western Samoa"
c: 71029 -1 "Polynesia, n.s."
c: 71040 -1 "US Pacific Trust Territories"
c: 71046 -1 "Yap"
c: 71047 -1 "Northern Mariana Islands"
c: 71048 -1 "Palau"
c: 71090 -1 "Oceania, n.s./n.e.c."
c: 90000 -1 "ABROAD (unknown) or at sea"
c: 90010 -1 "Abroad, n.s."
c: 90011 -1 "Abroad (US citizen)"
c: 90020 -1 "At sea"
c: 90021 -1 "At sea (US citizen)"
c: 95000 -1 "Other n.e.c."
c: 99700 -1 "Unknown"
c: 99900 -1 "Missing/blank"
I: FBPL 0 999 -1 999 120 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxxx.x.x.xxxx.....xx.....xx................
l: Father''s birthplace [general version]
s: Father''s birthplace [general version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not Applicable"
c: 1 -1 "Alabama"
c: 2 -1 "Alaska"
c: 4 -1 "Arizona"
c: 5 -1 "Arkansas"
c: 6 -1 "California"
c: 8 -1 "Colorado"
c: 9 -1 "Connecticut"
c: 10 -1 "Delaware"
c: 11 -1 "District of Columbia"
c: 12 -1 "Florida"
c: 13 -1 "Georgia"
c: 15 -1 "Hawaii"
c: 16 -1 "Idaho"
c: 17 -1 "Illinois"
c: 18 -1 "Indiana"
c: 19 -1 "Iowa"
c: 20 -1 "Kansas"
c: 21 -1 "Kentucky"
c: 22 -1 "Louisiana"
c: 23 -1 "Maine"
c: 24 -1 "Maryland"
c: 25 -1 "Massachusetts"
c: 26 -1 "Michigan"
c: 27 -1 "Minnesota"
c: 28 -1 "Mississippi"
c: 29 -1 "Missouri"
c: 30 -1 "Montana"
c: 31 -1 "Nebraska"
c: 32 -1 "Nevada"
c: 33 -1 "New Hampshire"
c: 34 -1 "New Jersey"
c: 35 -1 "New Mexico"
c: 36 -1 "New York"
c: 37 -1 "North Carolina"
c: 38 -1 "North Dakota"
c: 39 -1 "Ohio"
c: 40 -1 "Oklahoma"
c: 41 -1 "Oregon"
c: 42 -1 "Pennsylvania"
c: 44 -1 "Rhode Island"
c: 45 -1 "South Carolina"
c: 46 -1 "South Dakota"
c: 47 -1 "Tennessee"
c: 48 -1 "Texas"
c: 49 -1 "Utah"
c: 50 -1 "Vermont"
c: 51 -1 "Virginia"
c: 53 -1 "Washington"
c: 54 -1 "West Virginia"
c: 55 -1 "Wisconsin"
c: 56 -1 "Wyoming"
c: 90 -1 "Native American"
c: 99 -1 "United States, ns"
c: 100 -1 "American Samoa"
c: 105 -1 "Guam"
c: 110 -1 "Puerto Rico"
c: 115 -1 "US Virgin Islands"
c: 120 -1 "Other US Possessions"
c: 150 -1 "Canada"
c: 155 -1 "St Pierre and Miquelon"
c: 160 -1 "Atlantic Islands"
c: 200 -1 "Mexico"
c: 210 -1 "Central America"
c: 250 -1 "Cuba"
c: 260 -1 "West Indies"
c: 300 -1 "SOUTH AMERICA"
c: 400 -1 "Denmark"
c: 401 -1 "Finland"
c: 402 -1 "Iceland"
c: 404 -1 "Norway"
c: 405 -1 "Sweden"
c: 406 -1 "Svalbard"
c: 410 -1 "England"
c: 411 -1 "Scotland"
c: 412 -1 "Wales"
c: 413 -1 "United Kingdom, ns"
c: 414 -1 "Ireland"
c: 420 -1 "Belgium"
c: 421 -1 "France"
c: 422 -1 "Liechtenstein"
c: 423 -1 "Luxembourg"
c: 425 -1 "Netherlands"
c: 426 -1 "Switzerland"
c: 430 -1 "Albania"
c: 432 -1 "Gibraltar"
c: 433 -1 "Greece"
c: 434 -1 "Italy"
c: 435 -1 "Malta"
c: 436 -1 "Portugal"
c: 438 -1 "Spain"
c: 439 -1 "Vatican City"
c: 450 -1 "Austria"
c: 451 -1 "Bulgaria"
c: 452 -1 "Czechsolovakia"
c: 453 -1 "Germany"
c: 454 -1 "Hungary"
c: 455 -1 "Poland"
c: 456 -1 "Romania"
c: 457 -1 "Yugoslavia"
c: 458 -1 "Central Europe, ns"
c: 459 -1 "Eastern Europe, ns"
c: 460 -1 "Estonia"
c: 461 -1 "Latvia"
c: 462 -1 "Lithuania"
c: 463 -1 "Baltic States, ns"
c: 465 -1 "Other USSR/Russia"
c: 499 -1 "Europe, nec/ns"
c: 500 -1 "China"
c: 501 -1 "Japan"
c: 502 -1 "Korea"
c: 510 -1 "Brunei"
c: 512 -1 "Indonesia"
c: 514 -1 "Malaysia"
c: 515 -1 "Philippines"
c: 516 -1 "Singapore"
c: 517 -1 "Thailand"
c: 518 -1 "Vietnam"
c: 521 -1 "India"
c: 522 -1 "Iran"
c: 531 -1 "Cyprus"
c: 532 -1 "Iraq"
c: 533 -1 "Iraq/Saudi Arabia"
c: 534 -1 "Israel/Palestine"
c: 535 -1 "Jordan"
c: 537 -1 "Lebanon"
c: 540 -1 "Saudi Arabia"
c: 541 -1 "Syria"
c: 542 -1 "Turkey"
c: 545 -1 "Yemen, PDR (South)"
c: 547 -1 "Middle East, ns"
c: 548 -1 "Southwest Asia, nec/ns"
c: 549 -1 "Asia Minor, ns"
c: 550 -1 "South Asia, n.e.c."
c: 599 -1 "Asia, nec/ns"
c: 600 -1 "AFRICA"
c: 700 -1 "Australia and New Zealand"
c: 710 -1 "Pacific Islands"
c: 900 -1 "Abroad (unknown) or at sea"
c: 997 -1 "Unknown"
c: 999 -1 "Missing/blank"
I: FBPLD 0 99900 -1 99900 123 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxxx.x.x.xxxx.....xx.....xx................
l: Father''s birthplace [detailed version]
s: Father''s birthplace [detailed version]
c: "....." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not Applicable"
c: 100 -1 "Alabama"
c: 200 -1 "Alaska"
c: 400 -1 "Arizona"
c: 500 -1 "Arkansas"
c: 600 -1 "California"
c: 800 -1 "Colorado"
c: 900 -1 "Connecticut"
c: 1000 -1 "Delaware"
c: 1100 -1 "District of Columbia"
c: 1200 -1 "Florida"
c: 1300 -1 "Georgia"
c: 1500 -1 "Hawaii"
c: 1600 -1 "Idaho"
c: 1610 -1 "Idaho Territory"
c: 1700 -1 "Illinois"
c: 1800 -1 "Indiana"
c: 1900 -1 "Iowa"
c: 2000 -1 "Kansas"
c: 2100 -1 "Kentucky"
c: 2200 -1 "Louisiana"
c: 2300 -1 "Maine"
c: 2400 -1 "Maryland"
c: 2500 -1 "Massachusetts"
c: 2600 -1 "Michigan"
c: 2700 -1 "Minnesota"
c: 2800 -1 "Mississippi"
c: 2900 -1 "Missouri"
c: 3000 -1 "Montana"
c: 3100 -1 "Nebraska"
c: 3200 -1 "Nevada"
c: 3300 -1 "New Hampshire"
c: 3400 -1 "New Jersey"
c: 3500 -1 "New Mexico"
c: 3510 -1 "New Mexico Territory"
c: 3600 -1 "New York"
c: 3700 -1 "North Carolina"
c: 3800 -1 "North Dakota"
c: 3900 -1 "Ohio"
c: 4000 -1 "Oklahoma"
c: 4010 -1 "Indian Territory"
c: 4100 -1 "Oregon"
c: 4200 -1 "Pennsylvania"
c: 4400 -1 "Rhode Island"
c: 4500 -1 "South Carolina"
c: 4600 -1 "South Dakota"
c: 4610 -1 "Dakota Territory"
c: 4700 -1 "Tennessee"
c: 4800 -1 "Texas"
c: 4900 -1 "Utah"
c: 4910 -1 "Utah Territory"
c: 5000 -1 "Vermont"
c: 5100 -1 "Virginia"
c: 5300 -1 "Washington"
c: 5400 -1 "West Virginia"
c: 5500 -1 "Wisconsin"
c: 5600 -1 "Wyoming"
c: 5610 -1 "Wyoming Territory"
c: 9000 -1 "Native American"
c: 9900 -1 "United States, ns"
c: 10000 -1 "American Samoa"
c: 10010 -1 "Samoa, 1940-1950"
c: 10500 -1 "Guam"
c: 11000 -1 "Puerto Rico"
c: 11500 -1 "US Virgin Islands"
c: 11510 -1 "St Croix"
c: 11520 -1 "St. John"
c: 11530 -1 "St Thomas"
c: 12000 -1 "Other US Possessions"
c: 12010 -1 "Johnston Atoll"
c: 12041 -1 "Navassa Island"
c: 12050 -1 "Other US Pacific Is."
c: 12056 -1 "Canton and Enderbury Island"
c: 12091 -1 "US Possessions, ns"
c: 15000 -1 "Canada"
c: 15010 -1 "English Canada"
c: 15011 -1 "British Columbia"
c: 15013 -1 "Alberta"
c: 15015 -1 "Saskatchewan"
c: 15017 -1 "Northwest"
c: 15019 -1 "Ruperts Land"
c: 15020 -1 "Manitoba"
c: 15021 -1 "Red River"
c: 15030 -1 "Ontario/Upper Canada"
c: 15031 -1 "Upper Canada"
c: 15032 -1 "Canada West"
c: 15040 -1 "New Brunswick"
c: 15050 -1 "Nova Scotia"
c: 15051 -1 "Cape Breton"
c: 15052 -1 "Halifax"
c: 15060 -1 "Prince Edward Island"
c: 15070 -1 "Newfoundland"
c: 15080 -1 "French Canada"
c: 15081 -1 "Quebec"
c: 15082 -1 "Lower Canada"
c: 15083 -1 "Canada East"
c: 15500 -1 "St Pierre and Miquelon"
c: 16000 -1 "Atlantic Islands"
c: 16010 -1 "Bermuda"
c: 16020 -1 "Cape Verde"
c: 16040 -1 "Greenland"
c: 16050 -1 "St Helena and Ascension"
c: 16060 -1 "Canary Islands"
c: 19900 -1 "North America, n.s."
c: 20000 -1 "Mexico"
c: 21000 -1 "Central America"
c: 21010 -1 "Belize/British Honduras"
c: 21020 -1 "Costa Rica"
c: 21030 -1 "El Salvador"
c: 21040 -1 "Guatemala"
c: 21050 -1 "Honduras"
c: 21060 -1 "Nicaragua"
c: 21070 -1 "Panama"
c: 21071 -1 "Canal Zone"
c: 21090 -1 "Central America, ns"
c: 25000 -1 "Cuba"
c: 26000 -1 "West Indies"
c: 26010 -1 "Dominican Republic"
c: 26020 -1 "Haiti"
c: 26030 -1 "Jamaica"
c: 26040 -1 "British West Indies"
c: 26041 -1 "Anguilla"
c: 26042 -1 "Antigua-Barbuda"
c: 26043 -1 "Bahamas"
c: 26044 -1 "Barbados"
c: 26045 -1 "British Virgin Islands"
c: 26046 -1 "Anegada"
c: 26047 -1 "Cooper"
c: 26050 -1 "Tortola"
c: 26051 -1 "Virgin Gorda"
c: 26053 -1 "Cayman Islands"
c: 26054 -1 "Dominica"
c: 26055 -1 "Grenada"
c: 26056 -1 "Montserrat"
c: 26057 -1 "St Kitts-Nevis"
c: 26058 -1 "St Lucia"
c: 26059 -1 "St Vincent"
c: 26060 -1 "Trinidad and Tobago"
c: 26061 -1 "Turks and Caicos"
c: 26069 -1 "British West Indies, ns"
c: 26070 -1 "Other West Indies"
c: 26071 -1 "Aruba"
c: 26072 -1 "Netherlands Antilles"
c: 26073 -1 "Bonaire"
c: 26074 -1 "Curacao"
c: 26075 -1 "Dutch St. Maarten"
c: 26076 -1 "Saba"
c: 26077 -1 "St. Eustabias"
c: 26079 -1 "Dutch Caribbean, ns"
c: 26080 -1 "French St Maarten"
c: 26081 -1 "Guadeloupe"
c: 26082 -1 "Martinique"
c: 26083 -1 "St. Barthelemy"
c: 26089 -1 "French Caribbean, ns"
c: 26090 -1 "Antilles, n.s."
c: 26091 -1 "Caribbean, n.s. / n.e.c."
c: 26094 -1 "West Indies, ns"
c: 26095 -1 "Winward Islands"
c: 30000 -1 "South America"
c: 30005 -1 "Argentina"
c: 30010 -1 "Bolivia"
c: 30015 -1 "Brazil"
c: 30020 -1 "Chile"
c: 30025 -1 "Colombia"
c: 30030 -1 "Ecuador"
c: 30035 -1 "French Guiana"
c: 30040 -1 "Guyana/British Guiana"
c: 30045 -1 "Paraguay"
c: 30050 -1 "Peru"
c: 30055 -1 "Suriname"
c: 30060 -1 "Uruguay"
c: 30065 -1 "Venezuela"
c: 30090 -1 "South America, ns"
c: 30091 -1 "South and Central America, n.s."
c: 40000 -1 "Denmark"
c: 40010 -1 "Faroe Islands"
c: 40100 -1 "Finland"
c: 40200 -1 "Iceland"
c: 40300 -1 "Lapland, ns"
c: 40400 -1 "Norway"
c: 40500 -1 "Sweden"
c: 40600 -1 "Svalbard"
c: 41000 -1 "England"
c: 41010 -1 "Channel Islands"
c: 41011 -1 "Guernsey"
c: 41012 -1 "Jersey"
c: 41020 -1 "Isle of Man"
c: 41100 -1 "Scotland"
c: 41200 -1 "Wales"
c: 41300 -1 "United Kingdom, ns"
c: 41400 -1 "Ireland"
c: 41410 -1 "Northern Ireland"
c: 42000 -1 "Belgium"
c: 42100 -1 "France"
c: 42110 -1 "Alsace-Lorraine"
c: 42111 -1 "Alsace"
c: 42112 -1 "Lorraine"
c: 42200 -1 "Liechtenstein"
c: 42300 -1 "Luxembourg"
c: 42500 -1 "Netherlands"
c: 42600 -1 "Switzerland"
c: 43000 -1 "Albania"
c: 43200 -1 "Gibraltar"
c: 43300 -1 "Greece"
c: 43310 -1 "Dodecanese Islands"
c: 43320 -1 "Turkey Greece"
c: 43330 -1 "Macedonia"
c: 43400 -1 "Italy"
c: 43500 -1 "Malta"
c: 43600 -1 "Portugal"
c: 43610 -1 "Azores"
c: 43620 -1 "Madeira Islands"
c: 43630 -1 "Cape Verde Islands"
c: 43640 -1 "St Miguel"
c: 43800 -1 "Spain"
c: 43900 -1 "Vatican City"
c: 44000 -1 "Southern Europe, ns"
c: 45000 -1 "Austria"
c: 45010 -1 "Austria-Hungary"
c: 45020 -1 "Austria-Graz"
c: 45030 -1 "Austria-Linz"
c: 45040 -1 "Austria-Salzburg"
c: 45050 -1 "Austria-Tyrol"
c: 45060 -1 "Austria-Vienna"
c: 45070 -1 "Austria-Kaernsten"
c: 45080 -1 "Austria-Neustadt"
c: 45100 -1 "Bulgaria"
c: 45200 -1 "Czechsolovakia"
c: 45210 -1 "Bohemia"
c: 45211 -1 "Bohemia-Moravia"
c: 45212 -1 "Slovakia"
c: 45300 -1 "Germany"
c: 45301 -1 "Berlin"
c: 45310 -1 "West Germany"
c: 45311 -1 "Baden"
c: 45312 -1 "Bavaria"
c: 45313 -1 "Bremen"
c: 45314 -1 "Brunswick"
c: 45315 -1 "Hamburg"
c: 45316 -1 "Hanover"
c: 45317 -1 "Hessen"
c: 45318 -1 "Hessen Nassau"
c: 45319 -1 "Holstein"
c: 45320 -1 "Lippe"
c: 45321 -1 "Lubeck"
c: 45322 -1 "Oldenburg"
c: 45323 -1 "Rhine Province"
c: 45324 -1 "Schleswig"
c: 45325 -1 "Schleswig-Holstein"
c: 45326 -1 "Schwarzburg"
c: 45327 -1 "Waldeck"
c: 45328 -1 "West Berlin"
c: 45329 -1 "Westphalia"
c: 45330 -1 "Wurttemberg"
c: 45331 -1 "Frankfurt"
c: 45332 -1 "Saarland"
c: 45333 -1 "Nordheim-Westfalen"
c: 45340 -1 "East Germany"
c: 45341 -1 "Anhalt"
c: 45342 -1 "Brandenburg"
c: 45343 -1 "East Berlin"
c: 45344 -1 "Mecklenburg"
c: 45345 -1 "Sachsen-Altenburg"
c: 45346 -1 "Sachsen-Coburg"
c: 45347 -1 "Sachsen-Gotha"
c: 45348 -1 "Sachsen-Meiningen"
c: 45349 -1 "Sachsen-Weimar-Eisenach"
c: 45350 -1 "Saxony"
c: 45351 -1 "Schwerin"
c: 45352 -1 "Strelitz"
c: 45353 -1 "Thuringian States"
c: 45360 -1 "Prussia, nec"
c: 45361 -1 "Hohenzollern"
c: 45362 -1 "Niedersachsen"
c: 45400 -1 "Hungary"
c: 45500 -1 "Poland"
c: 45510 -1 "Austrian Poland"
c: 45511 -1 "Galacia"
c: 45520 -1 "German Poland"
c: 45521 -1 "East Prussia"
c: 45522 -1 "Pomerania"
c: 45523 -1 "Posen"
c: 45524 -1 "Prussian Poland"
c: 45525 -1 "Silesia"
c: 45526 -1 "West Prussia"
c: 45530 -1 "Russian Poland"
c: 45600 -1 "Romania"
c: 45610 -1 "Transylvania"
c: 45700 -1 "Yugoslavia"
c: 45710 -1 "Croatia"
c: 45720 -1 "Montenegro"
c: 45730 -1 "Serbia"
c: 45740 -1 "Bosnia"
c: 45750 -1 "Dalmatia"
c: 45760 -1 "Slovonia"
c: 45770 -1 "Carniola"
c: 45780 -1 "Slovenia"
c: 45800 -1 "Central Europe, ns"
c: 45900 -1 "Eastern Europe, ns"
c: 46000 -1 "Estonia"
c: 46100 -1 "Latvia"
c: 46200 -1 "Lithuania"
c: 46300 -1 "Baltic States, ns"
c: 46500 -1 "Other USSR/Russia"
c: 46510 -1 "Byelorussia"
c: 46520 -1 "Moldavia"
c: 46521 -1 "Bessarabia"
c: 46530 -1 "Ukraine"
c: 46540 -1 "Armenia"
c: 46543 -1 "Kazakhstan"
c: 46544 -1 "Kirghizia"
c: 46548 -1 "Siberia"
c: 46590 -1 "USSR, ns"
c: 49900 -1 "Europe, nec/ns"
c: 50000 -1 "China"
c: 50010 -1 "Hong Kong"
c: 50020 -1 "Macau"
c: 50040 -1 "Taiwan"
c: 50100 -1 "Japan"
c: 50200 -1 "Korea"
c: 50210 -1 "North Korea"
c: 50220 -1 "South Korea"
c: 51000 -1 "Brunei"
c: 51200 -1 "Indonesia"
c: 51210 -1 "East Indies"
c: 51300 -1 "Laos"
c: 51400 -1 "Malaysia"
c: 51500 -1 "Philippines"
c: 51600 -1 "Singapore"
c: 51700 -1 "Thailand"
c: 51800 -1 "Vietnam"
c: 52100 -1 "India"
c: 52130 -1 "Burma (Myanmar)"
c: 52140 -1 "Pakistan"
c: 52150 -1 "Sri Lanka (Ceylon)"
c: 52200 -1 "Iran"
c: 53100 -1 "Cyprus"
c: 53200 -1 "Iraq"
c: 53210 -1 "Mesopotamia"
c: 53300 -1 "Iraq/Saudi Arabia"
c: 53400 -1 "Israel/Palestine"
c: 53420 -1 "Palestine"
c: 53500 -1 "Jordan"
c: 53700 -1 "Lebanon"
c: 54000 -1 "Saudi Arabia"
c: 54100 -1 "Syria"
c: 54200 -1 "Turkey"
c: 54210 -1 "European Turkey"
c: 54220 -1 "Asian Turkey"
c: 54500 -1 "Yemen, PDR (South)"
c: 54700 -1 "Middle East, ns"
c: 54800 -1 "Southwest Asia, nec/ns"
c: 54900 -1 "Asia Minor, ns"
c: 55000 -1 "South Asia, n.e.c."
c: 59900 -1 "Asia, nec/ns"
c: 60000 -1 "Africa"
c: 60010 -1 "Northern Africa"
c: 60011 -1 "Algeria"
c: 60012 -1 "Egypt/United Arab Rep"
c: 60013 -1 "Libya"
c: 60014 -1 "Morocco"
c: 60015 -1 "Sudan"
c: 60016 -1 "Tunisia"
c: 60020 -1 "Benin"
c: 60021 -1 "Burkina Faso"
c: 60022 -1 "Gambia"
c: 60023 -1 "Ghana"
c: 60024 -1 "Guinea"
c: 60026 -1 "Ivory Coast"
c: 60027 -1 "Liberia"
c: 60028 -1 "Mali"
c: 60030 -1 "Niger"
c: 60031 -1 "Nigeria"
c: 60032 -1 "Senegal"
c: 60033 -1 "Sierra Leone"
c: 60038 -1 "Western Africa, n.s."
c: 60040 -1 "British Indian Ocean Territory"
c: 60042 -1 "Comoros"
c: 60044 -1 "Ethiopia"
c: 60046 -1 "Madagascar"
c: 60048 -1 "Mauritius"
c: 60050 -1 "Reunion"
c: 60052 -1 "Seychelles"
c: 60070 -1 "Central Africa"
c: 60075 -1 "Congo"
c: 60090 -1 "Southern Africa"
c: 60094 -1 "South Africa (Union of)"
c: 60096 -1 "Southern Africa, n.s."
c: 60099 -1 "Africa, ns/nec"
c: 70000 -1 "Australia and New Zealand"
c: 70010 -1 "Australia"
c: 70020 -1 "New Zealand"
c: 71000 -1 "Pacific Islands"
c: 71012 -1 "Papua New Guinea"
c: 71013 -1 "Solomon Islands"
c: 71020 -1 "Cook Islands"
c: 71021 -1 "Fiji"
c: 71022 -1 "French Polynesia"
c: 71023 -1 "Tonga"
c: 71029 -1 "Polynesia, n.s."
c: 71040 -1 "US Pacific Trust Territories"
c: 71041 -1 "Marshall Islands"
c: 71042 -1 "Micronesia"
c: 71043 -1 "Kosrae"
c: 71044 -1 "Pohnpei"
c: 71045 -1 "Truk"
c: 71046 -1 "Yap"
c: 71047 -1 "Northern Mariana Islands"
c: 71048 -1 "Palau"
c: 71049 -1 "Pacific Trust Territories, n.s."
c: 71090 -1 "Oceania, ns/nec"
c: 90000 -1 "Abroad (unknown) or at sea"
c: 90010 -1 "Abroad, ns"
c: 90011 -1 "Abroad (US citizen)"
c: 90020 -1 "At sea"
c: 90021 -1 "At sea (US citizen)"
c: 90022 -1 "At sea or abroad (U.S. citizen)"
c: 95000 -1 "Other n.e.c."
c: 99700 -1 "Unknown"
c: 99900 -1 "Missing/blank"
I: NATIVITY 0 5 -1 5 128 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...xxxx.xxxx.x.xxxx.x.x.x.................................
l: Foreign birthplace or parentage
s: Foreign birthplace or parentage
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Native born, and both parents native born"
c: 2 -1 "Native born, and father foreign, mother native"
c: 3 -1 "Native born, and mother foreign, father native"
c: 4 -1 "Native born, and both parents foreign"
c: 5 -1 "Foreign born"
I: CITIZEN 0 5 -1 5 129 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...xx...xxxxxxxxxx.x.x.x....xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Citizenship status
s: Citizenship status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Born abroad of American parents"
c: 2 -1 "Naturalized citizen"
c: 3 -1 "Not a citizen"
c: 4 -1 "Not a citizen, but has received first papers"
c: 5 -1 "Foreign born, citizenship status not reported"
I: YRNATUR -1 -1 -1 999 130 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .............x............................................
l: Year naturalized
s: Year naturalized
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: YRIMMIG -1 -1 -1 999 133 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxx...x.x.x....xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Year of immigration
s: Year of immigration
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: YRSUSA1 -1 -1 -1 98 136 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx.x.x..........................xxx..xxxxxx.x.x.
l: Years in the United States
s: Years in the United States
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: YRSUSA2 0 9 -1 9 138 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx.x.x...x.x.x....xxxxx..xxxxx..xxxxxxxxxxx.x.x.
l: Years in the United States, intervalled
s: Years in the United States, intervalled
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "0-5 years"
c: 2 -1 "6-10 years"
c: 3 -1 "11-15 years"
c: 4 -1 "16-20 years"
c: 5 -1 "21+ years"
c: 9 -1 "Missing"
I: MTONGUE 0 99 -1 99 139 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx.xxxx.x.x.x.x.................................
l: Mother tongue [general version]
s: Mother tongue [general version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or blank"
c: 1 -1 "English"
c: 2 -1 "German"
c: 3 -1 "Yiddish, Jewish"
c: 4 -1 "Dutch"
c: 5 -1 "Swedish"
c: 6 -1 "Danish"
c: 7 -1 "Norwegian"
c: 8 -1 "Icelandic"
c: 9 -1 "Scandinavian"
c: 10 -1 "Italian"
c: 11 -1 "French"
c: 12 -1 "Spanish"
c: 13 -1 "Portuguese"
c: 14 -1 "Rumanian"
c: 15 -1 "Celtic"
c: 16 -1 "Greek"
c: 17 -1 "Albanian"
c: 18 -1 "Russian"
c: 19 -1 "Ukranian"
c: 20 -1 "Czech"
c: 21 -1 "Polish"
c: 22 -1 "Slovak"
c: 23 -1 "Serbo-Croatian, Yugoslavian"
c: 24 -1 "Slovene"
c: 25 -1 "Lithuanian"
c: 26 -1 "Other Balto-Slavic"
c: 27 -1 "Slavic unknown"
c: 28 -1 "Armenian"
c: 29 -1 "Persian, Iranian, Farssi"
c: 30 -1 "Other Persian dialects"
c: 31 -1 "Hindi and related"
c: 32 -1 "Romany, Gypsy"
c: 33 -1 "Finnish"
c: 34 -1 "Magyar, Hungarian"
c: 35 -1 "Uralic"
c: 36 -1 "Turkish"
c: 37 -1 "Other Altaic"
c: 38 -1 "Caucasian, Gerogian, Avar"
c: 39 -1 "Basque"
c: 40 -1 "Dravidian"
c: 41 -1 "Kurukh"
c: 42 -1 "Burushaski"
c: 43 -1 "Chinese"
c: 44 -1 "Tibetan"
c: 45 -1 "Burmese, Lisu, Lolo"
c: 46 -1 "Kachin"
c: 47 -1 "Thai, Siamese, Lao"
c: 48 -1 "Japanese"
c: 49 -1 "Korean"
c: 50 -1 "Vietnamese"
c: 51 -1 "Other East/Southeast Asian"
c: 52 -1 "Indonesian"
c: 53 -1 "Other Malayan"
c: 54 -1 "Filipino, Tagalog"
c: 55 -1 "Micronesian, Polynesian"
c: 56 -1 "Hawaiian"
c: 57 -1 "Arabic"
c: 58 -1 "Near East Arabic dialect"
c: 59 -1 "Hebrew, Israeli"
c: 60 -1 "Amharic, Ethiopian"
c: 63 -1 "Nilotic"
c: 64 -1 "African, ns"
c: 70 -1 "American Indian (all)"
c: 71 -1 "Aleut, Eskimo"
c: 72 -1 "Algonquian"
c: 73 -1 "Salish, Flathead"
c: 74 -1 "Athapascan"
c: 75 -1 "Navajo"
c: 76 -1 "Penutian-Sahaptin"
c: 77 -1 "Mountain Maidu, Maidu"
c: 78 -1 "Zuni"
c: 79 -1 "Yuman"
c: 80 -1 "Achumawi"
c: 81 -1 "Siouan languages"
c: 82 -1 "Muskogean"
c: 83 -1 "Keres"
c: 84 -1 "Iroquoian"
c: 85 -1 "Caddoan"
c: 86 -1 "Shoshonean/Hopi"
c: 87 -1 "Pima/Papago"
c: 88 -1 "Yaqui"
c: 89 -1 "Aztecan, Nahuatl, Uto-Aztecan"
c: 90 -1 "Tanoan languages"
c: 91 -1 "Wiyot"
c: 92 -1 "Mayan languages"
c: 93 -1 "American Indian, n.s."
c: 94 -1 "Native"
c: 96 -1 "Other"
c: 97 -1 "Unknown"
c: 99 -1 "Not reported, blank"
I: MTONGUED 0 9900 -1 9900 141 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx.xxxx.x.x.x.x.................................
l: Mother tongue [detailed version]
s: Mother tongue [detailed version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or blank"
c: 100 -1 "English"
c: 110 -1 "Jamaican Creole"
c: 120 -1 "Krio, Pidgin Krio"
c: 130 -1 "Hawaiian Pidgin"
c: 140 -1 "Pidgin"
c: 150 -1 "Gullah, Geechee"
c: 160 -1 "Saramacca"
c: 200 -1 "German"
c: 210 -1 "Austrian"
c: 220 -1 "Swiss"
c: 230 -1 "Luxembourgian"
c: 240 -1 "Pennsylvania Dutch"
c: 300 -1 "Yiddish, Jewish"
c: 310 -1 "Jewish"
c: 320 -1 "Yiddish"
c: 400 -1 "Dutch"
c: 410 -1 "Dutch, Flemish, Belgian"
c: 420 -1 "Afrikaans"
c: 430 -1 "Frisian"
c: 440 -1 "Dutch, Afrikaans, Frisian"
c: 450 -1 "Belgian, Flemish"
c: 460 -1 "Belgian"
c: 470 -1 "Flemish"
c: 500 -1 "Swedish"
c: 600 -1 "Danish"
c: 700 -1 "Norwegian"
c: 800 -1 "Icelandic"
c: 810 -1 "Faroese"
c: 900 -1 "Scandinavian"
c: 1000 -1 "Italian"
c: 1010 -1 "Rhaeto-Romanic, Ladin"
c: 1020 -1 "Friulian"
c: 1030 -1 "Romansh"
c: 1100 -1 "French"
c: 1110 -1 "French, Walloon"
c: 1120 -1 "Provencal"
c: 1130 -1 "Patois"
c: 1140 -1 "French or Haitian Creole"
c: 1150 -1 "Cajun"
c: 1200 -1 "Spanish"
c: 1210 -1 "Catalonian, Valencian"
c: 1220 -1 "Ladino, Sefaradit, Spanol"
c: 1230 -1 "Pachuco"
c: 1240 -1 "Papia Mentae"
c: 1250 -1 "Mexican"
c: 1300 -1 "Portuguese"
c: 1400 -1 "Rumanian"
c: 1500 -1 "Celtic"
c: 1510 -1 "Welsh, Breton, Cornish"
c: 1520 -1 "Welsh"
c: 1530 -1 "Breton"
c: 1540 -1 "Irish Gaelic, Gaelic"
c: 1550 -1 "Gaelic"
c: 1560 -1 "Irish"
c: 1570 -1 "Scottish Gaelic"
c: 1580 -1 "Scotch"
c: 1590 -1 "Manx, Manx Gaelic"
c: 1600 -1 "Greek"
c: 1700 -1 "Albanian"
c: 1800 -1 "Russian"
c: 1810 -1 "Russian, Great Russian"
c: 1811 -1 "Great Russian"
c: 1820 -1 "Bielo-, White Russian"
c: 1900 -1 "Ukrainian"
c: 1910 -1 "Ruthenian"
c: 1920 -1 "Little Russian"
c: 1930 -1 "Ukranian"
c: 2000 -1 "Czech"
c: 2010 -1 "Bohemian"
c: 2020 -1 "Moravian"
c: 2100 -1 "Polish"
c: 2110 -1 "Kashubian, Slovincian"
c: 2200 -1 "Slovak"
c: 2300 -1 "Serbo-Croatian, Yugoslavian, Slavonian"
c: 2310 -1 "Croatian"
c: 2320 -1 "Serbian"
c: 2330 -1 "Dalmatian, Montenegrin"
c: 2331 -1 "Dalmatian"
c: 2332 -1 "Montenegrin"
c: 2400 -1 "Slovene"
c: 2500 -1 "Lithuanian"
c: 2510 -1 "Lettish"
c: 2600 -1 "Other Balto-Slavic"
c: 2610 -1 "Bulgarian"
c: 2620 -1 "Lusatian, Sorbian, Wendish"
c: 2621 -1 "Wendish"
c: 2630 -1 "Macedonian"
c: 2700 -1 "Slavic unknown"
c: 2800 -1 "Armenian"
c: 2900 -1 "Persian, Iranian, Farssi"
c: 2910 -1 "Persian"
c: 3000 -1 "Other Persian dialects"
c: 3010 -1 "Pashto, Afghan"
c: 3020 -1 "Kurdish"
c: 3030 -1 "Balochi"
c: 3040 -1 "Tadzhik"
c: 3050 -1 "Ossete"
c: 3100 -1 "Hindi and related"
c: 3101 -1 "Hindi, Hindustani, Indic, Jaipuri, Pali, Urdu"
c: 3102 -1 "Hindi, Hindustani, Urdu"
c: 3103 -1 "Hindu"
c: 3110 -1 "Other Indo-Aryan"
c: 3111 -1 "Sanskrit"
c: 3112 -1 "Bengali"
c: 3113 -1 "Panjabi"
c: 3114 -1 "Marathi"
c: 3115 -1 "Gujarathi"
c: 3116 -1 "Bihari"
c: 3117 -1 "Rajasthani"
c: 3118 -1 "Oriya"
c: 3119 -1 "Assamese"
c: 3120 -1 "Kashmiri"
c: 3121 -1 "Sindhi"
c: 3122 -1 "Maldivian"
c: 3123 -1 "Sinhalese"
c: 3130 -1 "Kannada"
c: 3190 -1 "Georgian"
c: 3200 -1 "Romany, Gypsy"
c: 3210 -1 "Gypsy"
c: 3300 -1 "Finnish"
c: 3400 -1 "Magyar, Hungarian"
c: 3401 -1 "Magyar"
c: 3402 -1 "Hungarian"
c: 3500 -1 "Uralic"
c: 3510 -1 "Estonian, Ingrian, Livonian, Vepsian, Votic"
c: 3511 -1 "Estonian"
c: 3520 -1 "Lapp, Inari, Kola, Lule, Pite, Ruija, Skolt, Ume"
c: 3521 -1 "Lappish"
c: 3530 -1 "Other Uralic"
c: 3600 -1 "Turkish"
c: 3700 -1 "Other Altaic"
c: 3701 -1 "Chuvash"
c: 3702 -1 "Karakalpak"
c: 3703 -1 "Kazakh"
c: 3704 -1 "Kirghiz"
c: 3705 -1 "Karachay, Tatar, Balkar, Bashkir, Kumyk"
c: 3706 -1 "Uzbek, Uighur-40"
c: 3707 -1 "Azerbaijani"
c: 3708 -1 "Turkmen"
c: 3709 -1 "Yakut"
c: 3710 -1 "Mongolian"
c: 3711 -1 "Tungus"
c: 3800 -1 "Caucasian, Georgian, Avar"
c: 3810 -1 "Georgian"
c: 3900 -1 "Basque"
c: 4000 -1 "Dravidian"
c: 4001 -1 "Brahui"
c: 4002 -1 "Gondi"
c: 4003 -1 "Telugu"
c: 4004 -1 "Malayalam"
c: 4005 -1 "Tamil"
c: 4010 -1 "Bhili"
c: 4011 -1 "Nepali"
c: 4100 -1 "Kurukh"
c: 4110 -1 "Munda"
c: 4200 -1 "Burushaski"
c: 4300 -1 "Chinese"
c: 4301 -1 "Chinese, Cantonese, Min, Yueh"
c: 4302 -1 "Cantonese, Yueh"
c: 4303 -1 "Mandarin"
c: 4310 -1 "Other Chinese"
c: 4311 -1 "Hakka, Fukien, Kechia"
c: 4312 -1 "Kan, Nan Chang"
c: 4313 -1 "Hsiang, Chansa, Hunan, Iyan"
c: 4314 -1 "Fuchow, Min Pei"
c: 4315 -1 "Wu"
c: 4400 -1 "Tibetan"
c: 4410 -1 "Miao-Yao"
c: 4420 -1 "Miao, Hmong"
c: 4500 -1 "Burmese, Lisu, Lolo"
c: 4510 -1 "Karen"
c: 4600 -1 "Kachin"
c: 4700 -1 "Thai, Siamese, Lao"
c: 4800 -1 "Japanese"
c: 4900 -1 "Korean"
c: 5000 -1 "Vietnamese"
c: 5100 -1 "Other East/Southeast Asian"
c: 5110 -1 "Ainu"
c: 5120 -1 "Mon-Khmer, Cambodian"
c: 5140 -1 "Yukagir"
c: 5150 -1 "Muong"
c: 5200 -1 "Indonesian"
c: 5210 -1 "Buginese"
c: 5220 -1 "Moluccan"
c: 5230 -1 "Achinese"
c: 5240 -1 "Balinese"
c: 5250 -1 "Cham"
c: 5260 -1 "Madurese"
c: 5270 -1 "Malay"
c: 5280 -1 "Minangkabau"
c: 5300 -1 "Other Malayan"
c: 5310 -1 "Formosan, Taiwanese"
c: 5320 -1 "Javanese"
c: 5330 -1 "Malagasy"
c: 5340 -1 "Sundanese"
c: 5400 -1 "Filipino, Tagalog"
c: 5410 -1 "Bisayan"
c: 5420 -1 "Sebuano"
c: 5430 -1 "Pangasinan"
c: 5440 -1 "Ilocano"
c: 5450 -1 "Bikol"
c: 5460 -1 "Pampangan"
c: 5470 -1 "Gorontalo"
c: 5480 -1 "Palau"
c: 5500 -1 "Miconesian, Polynesian"
c: 5501 -1 "Micronesian"
c: 5502 -1 "Carolinian"
c: 5503 -1 "Chamorro, Guamanian"
c: 5504 -1 "Gilbertese"
c: 5505 -1 "Kusaiean"
c: 5506 -1 "Marshallese"
c: 5507 -1 "Mokilese"
c: 5508 -1 "Mortlockese"
c: 5509 -1 "Nauruan"
c: 5510 -1 "Ponapean"
c: 5511 -1 "Trukese"
c: 5512 -1 "Ulithean, Fais"
c: 5513 -1 "Woleai-Ulithi"
c: 5514 -1 "Yapese"
c: 5520 -1 "Melanesian"
c: 5521 -1 "Polynesian"
c: 5522 -1 "Samoan"
c: 5523 -1 "Tongan"
c: 5524 -1 "Niuean"
c: 5525 -1 "Tokelauan"
c: 5526 -1 "Fijian"
c: 5527 -1 "Marquesan"
c: 5528 -1 "Rarotongan"
c: 5529 -1 "Maori"
c: 5530 -1 "Nukuoro, Kapingarangan"
c: 5600 -1 "Hawaiian"
c: 5700 -1 "Arabic"
c: 5710 -1 "Algerian, Moroccan, Tunisian"
c: 5720 -1 "Egyptian"
c: 5730 -1 "Iraqi, Chaldean-70"
c: 5740 -1 "Libyan"
c: 5750 -1 "Maltese"
c: 5800 -1 "Near East Arabic dialect"
c: 5810 -1 "Syriac, Aramaic, Chaldean-40"
c: 5820 -1 "Syrian"
c: 5900 -1 "Hebrew, Israeli"
c: 6000 -1 "Amharic, Ethiopian, etc."
c: 6100 -1 "Hamitic"
c: 6110 -1 "Berber"
c: 6120 -1 "Chadic, Hamitic, Hausa"
c: 6130 -1 "Cushite, Beja, Somali"
c: 6300 -1 "Nilotic"
c: 6301 -1 "Nilo-Hamitic"
c: 6302 -1 "Nubian"
c: 6303 -1 "Saharan"
c: 6304 -1 "Nilo-Saharan, Fur, Songhai"
c: 6305 -1 "Khoisan"
c: 6306 -1 "Sudanic"
c: 6307 -1 "Bantu (many subheads)"
c: 6308 -1 "Swahili"
c: 6309 -1 "Mande"
c: 6310 -1 "Fulani"
c: 6311 -1 "Gur"
c: 6312 -1 "Kru"
c: 6313 -1 "Efik, Ibibio, Tiv"
c: 6314 -1 "Mbum, Gbaya, Sango, Zande"
c: 6320 -1 "Eastern Sudanic and Khoisan"
c: 6321 -1 "Niger-Congo regions (many subheads)"
c: 6322 -1 "Congo, Kongo, Luba, Ruanda, Rundi, Santali, Swahili"
c: 6400 -1 "African, n.s."
c: 7000 -1 "American Indian (all)"
c: 7100 -1 "Aleut, Eskimo"
c: 7110 -1 "Aleut"
c: 7120 -1 "Pacific Gulf Yupik"
c: 7130 -1 "Eskimo"
c: 7140 -1 "Inupik, Innuit"
c: 7150 -1 "St. Lawrence Isl. Yupik"
c: 7160 -1 "Yupik"
c: 7200 -1 "Algonquian"
c: 7201 -1 "Arapaho"
c: 7202 -1 "Atsina, Gros Ventre"
c: 7203 -1 "Blackfoot"
c: 7204 -1 "Cheyenne"
c: 7205 -1 "Cree"
c: 7206 -1 "Delaware, Lenni-Lenape"
c: 7207 -1 "Fox, Sac"
c: 7208 -1 "Kickapoo"
c: 7209 -1 "Menomini"
c: 7210 -1 "Metis, French Cree"
c: 7211 -1 "Miami"
c: 7212 -1 "Micmac"
c: 7213 -1 "Ojibwa, Chippewa"
c: 7214 -1 "Ottawa"
c: 7215 -1 "Passamaquoddy, Malecite"
c: 7216 -1 "Penobscot"
c: 7217 -1 "Abnaki"
c: 7218 -1 "Potawatomi"
c: 7219 -1 "Shawnee"
c: 7300 -1 "Salish, Flathead"
c: 7301 -1 "Lower Chehalis"
c: 7302 -1 "Upper Chehalis, Chelalis, Satsop"
c: 7303 -1 "Clallam"
c: 7304 -1 "Coeur dAlene, Skitsamish"
c: 7305 -1 "Columbia, Chelan, Wenatchee"
c: 7306 -1 "Cowlitz"
c: 7307 -1 "Nootsack"
c: 7308 -1 "Okanogan"
c: 7309 -1 "Puget Sound Salish"
c: 7310 -1 "Quinault, Queets"
c: 7311 -1 "Tillamook"
c: 7312 -1 "Twana"
c: 7313 -1 "Kalispel"
c: 7314 -1 "Spokane"
c: 7400 -1 "Athapascan"
c: 7401 -1 "Ahtena"
c: 7402 -1 "Han"
c: 7403 -1 "Ingalit"
c: 7404 -1 "Koyukon"
c: 7405 -1 "Kuchin"
c: 7406 -1 "Upper Kuskokwim"
c: 7407 -1 "Tanaina"
c: 7408 -1 "Tanana, Minto"
c: 7409 -1 "Tanacross"
c: 7410 -1 "Upper Tanana, Nabesena, Tetlin"
c: 7411 -1 "Tutchone"
c: 7412 -1 "Chasta Costa, Chetco, Coquille, Smith River Athapascan"
c: 7413 -1 "Hupa"
c: 7420 -1 "Apache"
c: 7421 -1 "Jicarilla, Lipan"
c: 7422 -1 "Chiricahua, Mescalero"
c: 7423 -1 "San Carlos, Cibecue, White Mountain"
c: 7424 -1 "Kiowa-Apache"
c: 7430 -1 "Kiowa"
c: 7440 -1 "Eyak"
c: 7450 -1 "Other Athapascan-Eyak, Cahto, Mattole, Wailaki"
c: 7500 -1 "Navajo"
c: 7600 -1 "Penutian-Sahaptin"
c: 7610 -1 "Klamath, Modoc"
c: 7620 -1 "Nez Perce"
c: 7630 -1 "Sahaptian, Celilo, Klikitat, Palouse, Tenino, Umatilla, Warm"
c: 7700 -1 "Mountain Maidu, Maidu"
c: 7701 -1 "Northwest Maidu, Concow"
c: 7702 -1 "Southern Maidu, Nisenan"
c: 7703 -1 "Coast Miwok, Bodega, Marin"
c: 7704 -1 "Plains Miwok"
c: 7705 -1 "Sierra Miwok, Miwok"
c: 7706 -1 "Nomlaki, Tehama"
c: 7707 -1 "Patwin, Colouse, Suisun"
c: 7708 -1 "Wintun"
c: 7709 -1 "Foothill North Yokuts"
c: 7710 -1 "Tachi"
c: 7711 -1 "Santiam, Calapooya, Wapatu"
c: 7712 -1 "Siuslaw, Coos, Lower Umpqua"
c: 7713 -1 "Tsimshian"
c: 7714 -1 "Upper Chinook, Clackamas, Multnomah, Wasco, Wishram"
c: 7715 -1 "Chinook Jargon"
c: 7800 -1 "Zuni"
c: 7900 -1 "Yuman"
c: 7910 -1 "Upriver Yuman"
c: 7920 -1 "Cocomaricopa"
c: 7930 -1 "Mohave"
c: 7940 -1 "Diegueno"
c: 7950 -1 "Delta River Yuman"
c: 7960 -1 "Upland Yuman"
c: 7970 -1 "Havasupai"
c: 7980 -1 "Walapai"
c: 7990 -1 "Yavapai"
c: 8000 -1 "Achumawi"
c: 8010 -1 "Atsugewi"
c: 8020 -1 "Karok"
c: 8030 -1 "Pomo"
c: 8040 -1 "Shastan"
c: 8050 -1 "Washo"
c: 8060 -1 "Chumash"
c: 8100 -1 "Siouan languages:"
c: 8101 -1 "Crow, Absaroke"
c: 8102 -1 "Hidatsa"
c: 8103 -1 "Mandan"
c: 8104 -1 "Dakota, Lakota, Nakota, Sioux"
c: 8105 -1 "Chiwere"
c: 8106 -1 "Winnebago"
c: 8107 -1 "Kansa, Kaw"
c: 8108 -1 "Omaha"
c: 8109 -1 "Osage"
c: 8110 -1 "Ponca"
c: 8111 -1 "Quapaw, Arkansas"
c: 8120 -1 "Iowa"
c: 8200 -1 "Muskogean"
c: 8210 -1 "Alabama"
c: 8220 -1 "Choctaw, Chickasaw"
c: 8230 -1 "Mikasuki"
c: 8240 -1 "Hichita, Apalachicola"
c: 8250 -1 "Koasati"
c: 8260 -1 "Muskogee, Creek, Seminole"
c: 8300 -1 "Keres"
c: 8400 -1 "Iroquoian"
c: 8410 -1 "Mohawk"
c: 8420 -1 "Oneida"
c: 8430 -1 "Onondaga"
c: 8440 -1 "Cayuga"
c: 8450 -1 "Seneca"
c: 8460 -1 "Tuscarora"
c: 8470 -1 "Wyandot, Huron"
c: 8480 -1 "Cherokee"
c: 8500 -1 "Caddoan"
c: 8510 -1 "Arikara"
c: 8520 -1 "Pawnee"
c: 8530 -1 "Wichita"
c: 8600 -1 "Shoshonean/Hopi:"
c: 8601 -1 "Comanche"
c: 8602 -1 "Mono, Owens Valley Paiute"
c: 8603 -1 "Paiute"
c: 8604 -1 "Northern Paiute, Bannock, Num, Snake"
c: 8605 -1 "Southern Paiute"
c: 8606 -1 "Chemehuevi"
c: 8607 -1 "Kawaiisu"
c: 8608 -1 "Ute"
c: 8609 -1 "Shoshoni"
c: 8610 -1 "Panamint"
c: 8620 -1 "Hopi"
c: 8630 -1 "Cahuilla"
c: 8631 -1 "Cupeno"
c: 8632 -1 "Luiseno"
c: 8633 -1 "Serrano"
c: 8640 -1 "Tubatulabal"
c: 8700 -1 "Pima, Papago"
c: 8800 -1 "Yaqui"
c: 8820 -1 "Tarahumara"
c: 8900 -1 "Aztecan, Nahuatl, Uto-Aztecan"
c: 8910 -1 "Aztecan, Mexicano, Nahua"
c: 9000 -1 "Tanoan languages"
c: 9010 -1 "Picuris, Northern Tiwa, Taos"
c: 9020 -1 "Tiwa, Isleta"
c: 9030 -1 "Sandia"
c: 9040 -1 "Tewa, Hano, Hopi-Tewa, San Ildefonso, San Juan, Santa Clara"
c: 9100 -1 "Wiyot"
c: 9101 -1 "Yurok"
c: 9110 -1 "Kwakiutl"
c: 9111 -1 "Nootka"
c: 9112 -1 "Makah"
c: 9120 -1 "Kutenai"
c: 9130 -1 "Haida"
c: 9131 -1 "Tlingit, Chilkat, Sitka, Tongass, Yakutat"
c: 9140 -1 "Tonkawa"
c: 9150 -1 "Yuchi"
c: 9160 -1 "Chetemacha"
c: 9170 -1 "Yuki"
c: 9171 -1 "Wappo"
c: 9200 -1 "Mayan languages"
c: 9211 -1 "Cakchiquel"
c: 9212 -1 "Mam"
c: 9213 -1 "Maya"
c: 9214 -1 "Quekchi"
c: 9215 -1 "Quiche"
c: 9220 -1 "Tarascan"
c: 9231 -1 "Araucanian"
c: 9241 -1 "Mixtec"
c: 9242 -1 "Zapotec"
c: 9250 -1 "Quechua"
c: 9260 -1 "Aymara"
c: 9271 -1 "Island Carib"
c: 9281 -1 "Cuna"
c: 9282 -1 "Guaymi"
c: 9291 -1 "Tupi"
c: 9292 -1 "Guarani"
c: 9300 -1 "American Indian, n.s."
c: 9400 -1 "Native"
c: 9600 -1 "Other"
c: 9601 -1 "Other (not classified)"
c: 9602 -1 "Other (not specified)"
c: 9700 -1 "Unknown"
c: 9900 -1 "Not reported, blank"
I: MMTONGUE 0 99 -1 96 145 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx.xx...........................................
l: Mother''s mother tongue [general version]
s: Mother''s mother tongue [general version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or blank"
c: 1 -1 "English"
c: 2 -1 "German"
c: 3 -1 "Yiddish, Jewish"
c: 4 -1 "Dutch"
c: 5 -1 "Swedish"
c: 6 -1 "Danish"
c: 7 -1 "Norwegian"
c: 8 -1 "Icelandic"
c: 9 -1 "Scandinavian"
c: 10 -1 "Italian"
c: 11 -1 "French"
c: 12 -1 "Spanish"
c: 13 -1 "Portuguese"
c: 14 -1 "Rumanian"
c: 15 -1 "Celtic"
c: 16 -1 "Greek"
c: 17 -1 "Albanian"
c: 18 -1 "Russian"
c: 19 -1 "Ukranian"
c: 20 -1 "Czech"
c: 21 -1 "Polish"
c: 22 -1 "Slovak"
c: 23 -1 "Serbo-Croatian, Yugoslavian"
c: 24 -1 "Slovene"
c: 25 -1 "Lithuanian"
c: 26 -1 "Other Balto-Slavic"
c: 27 -1 "Slavic unknown"
c: 28 -1 "Armenian"
c: 29 -1 "Persian, Iranian, Farssi"
c: 30 -1 "Other Persian dialects"
c: 31 -1 "Hindi and related"
c: 32 -1 "Romany, Gypsy"
c: 33 -1 "Finnish"
c: 34 -1 "Magyar, Hungarian"
c: 35 -1 "Uralic"
c: 36 -1 "Turkish"
c: 37 -1 "Other Altaic"
c: 38 -1 "Caucasian, Gerogian, Avar"
c: 39 -1 "Basque"
c: 40 -1 "Dravidian"
c: 41 -1 "Kurukh"
c: 42 -1 "Burushaski"
c: 43 -1 "Chinese"
c: 44 -1 "Tibetan"
c: 45 -1 "Burmese, Lisu, Lolo"
c: 46 -1 "Kachin"
c: 47 -1 "Thai, Siamese, Lao"
c: 48 -1 "Japanese"
c: 49 -1 "Korean"
c: 50 -1 "Vietnamese"
c: 51 -1 "Other East/Southeast Asian"
c: 52 -1 "Indonesian"
c: 53 -1 "Other Malayan"
c: 54 -1 "Filipino, Tagalog"
c: 55 -1 "Micronesian, Polynesian"
c: 56 -1 "Hawaiian"
c: 57 -1 "Arabic"
c: 58 -1 "Near East Arabic dialect"
c: 59 -1 "Hebrew, Israeli"
c: 60 -1 "Amharic, Ethiopian"
c: 63 -1 "Nilotic"
c: 64 -1 "African, ns"
c: 70 -1 "American Indian (all)"
c: 71 -1 "Aleut, Eskimo"
c: 72 -1 "Algonquian"
c: 73 -1 "Salish, Flathead"
c: 74 -1 "Athapascan"
c: 75 -1 "Navajo"
c: 76 -1 "Penutian-Sahaptin"
c: 77 -1 "Mountain Maidu, Maidu"
c: 78 -1 "Zuni"
c: 79 -1 "Yuman"
c: 80 -1 "Achumawi"
c: 81 -1 "Siouan languages"
c: 82 -1 "Muskogean"
c: 83 -1 "Keres"
c: 84 -1 "Iroquoian"
c: 85 -1 "Caddoan"
c: 86 -1 "Shoshonean/Hopi"
c: 87 -1 "Pima/Papago"
c: 88 -1 "Yaqui"
c: 89 -1 "Aztecan, Nahuatl, Uto-Aztecan"
c: 90 -1 "Tanoan languages"
c: 91 -1 "Wiyot"
c: 92 -1 "Mayan languages"
c: 93 -1 "American Indian, n.s."
c: 94 -1 "Native"
c: 96 -1 "Other"
c: 97 -1 "Unknown"
c: 99 -1 "Not reported, blank"
I: MMTONGD 0 9900 -1 9600 147 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx.xx...........................................
l: Mother''s mother tongue [detailed version]
s: Mother''s mother tongue [detailed version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or blank"
c: 100 -1 "English"
c: 110 -1 "Jamaican Creole"
c: 120 -1 "Krio, Pidgin Krio"
c: 130 -1 "Hawaiian Pidgin"
c: 140 -1 "Pidgin"
c: 150 -1 "Gullah, Geechee"
c: 160 -1 "Saramacca"
c: 200 -1 "German"
c: 210 -1 "Austrian"
c: 220 -1 "Swiss"
c: 230 -1 "Luxembourgian"
c: 240 -1 "Pennsylvania Dutch"
c: 300 -1 "Yiddish, Jewish"
c: 310 -1 "Jewish"
c: 320 -1 "Yiddish"
c: 400 -1 "Dutch"
c: 410 -1 "Dutch, Flemish, Belgian"
c: 420 -1 "Afrikaans"
c: 430 -1 "Frisian"
c: 440 -1 "Dutch, Afrikaans, Frisian"
c: 450 -1 "Belgian, Flemish"
c: 460 -1 "Belgian"
c: 470 -1 "Flemish"
c: 500 -1 "Swedish"
c: 600 -1 "Danish"
c: 700 -1 "Norwegian"
c: 800 -1 "Icelandic"
c: 810 -1 "Faroese"
c: 900 -1 "Scandinavian"
c: 1000 -1 "Italian"
c: 1010 -1 "Rhaeto-Romanic, Ladin"
c: 1020 -1 "Friulian"
c: 1030 -1 "Romansh"
c: 1100 -1 "French"
c: 1110 -1 "French, Walloon"
c: 1120 -1 "Provencal"
c: 1130 -1 "Patois"
c: 1140 -1 "French or Haitian Creole"
c: 1150 -1 "Cajun"
c: 1200 -1 "Spanish"
c: 1210 -1 "Catalonian, Valencian"
c: 1220 -1 "Ladino, Sefaradit, Spanol"
c: 1230 -1 "Pachuco"
c: 1240 -1 "Papia Mentae"
c: 1250 -1 "Mexican"
c: 1300 -1 "Portuguese"
c: 1400 -1 "Rumanian"
c: 1500 -1 "Celtic"
c: 1510 -1 "Welsh, Breton, Cornish"
c: 1520 -1 "Welsh"
c: 1530 -1 "Breton"
c: 1540 -1 "Irish Gaelic, Gaelic"
c: 1550 -1 "Gaelic"
c: 1560 -1 "Irish"
c: 1570 -1 "Scottish Gaelic"
c: 1580 -1 "Scotch"
c: 1590 -1 "Manx, Manx Gaelic"
c: 1600 -1 "Greek"
c: 1700 -1 "Albanian"
c: 1800 -1 "Russian"
c: 1810 -1 "Russian, Great Russian"
c: 1811 -1 "Great Russian"
c: 1820 -1 "Bielo-, White Russian"
c: 1900 -1 "Ukrainian"
c: 1910 -1 "Ruthenian"
c: 1920 -1 "Little Russian"
c: 1930 -1 "Ukranian"
c: 2000 -1 "Czech"
c: 2010 -1 "Bohemian"
c: 2020 -1 "Moravian"
c: 2100 -1 "Polish"
c: 2110 -1 "Kashubian, Slovincian"
c: 2200 -1 "Slovak"
c: 2300 -1 "Serbo-Croatian, Yugoslavian, Slavonian"
c: 2310 -1 "Croatian"
c: 2320 -1 "Serbian"
c: 2330 -1 "Dalmatian, Montenegrin"
c: 2331 -1 "Dalmatian"
c: 2332 -1 "Montenegrin"
c: 2400 -1 "Slovene"
c: 2500 -1 "Lithuanian"
c: 2510 -1 "Lettish"
c: 2600 -1 "Other Balto-Slavic"
c: 2610 -1 "Bulgarian"
c: 2620 -1 "Lusatian, Sorbian, Wendish"
c: 2621 -1 "Wendish"
c: 2630 -1 "Macedonian"
c: 2700 -1 "Slavic unknown"
c: 2800 -1 "Armenian"
c: 2900 -1 "Persian, Iranian, Farssi"
c: 2910 -1 "Persian"
c: 3000 -1 "Other Persian dialects"
c: 3010 -1 "Pashto, Afghan"
c: 3020 -1 "Kurdish"
c: 3030 -1 "Balochi"
c: 3040 -1 "Tadzhik"
c: 3050 -1 "Ossete"
c: 3100 -1 "Hindi and related"
c: 3101 -1 "Hindi, Hindustani, Indic, Jaipuri, Pali, Urdu"
c: 3102 -1 "Hindi, Hindustani, Urdu"
c: 3103 -1 "Hindu"
c: 3110 -1 "Other Indo-Aryan"
c: 3111 -1 "Sanskrit"
c: 3112 -1 "Bengali"
c: 3113 -1 "Panjabi"
c: 3114 -1 "Marathi"
c: 3115 -1 "Gujarathi"
c: 3116 -1 "Bihari"
c: 3117 -1 "Rajasthani"
c: 3118 -1 "Oriya"
c: 3119 -1 "Assamese"
c: 3120 -1 "Kashmiri"
c: 3121 -1 "Sindhi"
c: 3122 -1 "Maldivian"
c: 3123 -1 "Sinhalese"
c: 3130 -1 "Kannada"
c: 3190 -1 "Georgian"
c: 3200 -1 "Romany, Gypsy"
c: 3210 -1 "Gypsy"
c: 3300 -1 "Finnish"
c: 3400 -1 "Magyar, Hungarian"
c: 3401 -1 "Magyar"
c: 3402 -1 "Hungarian"
c: 3500 -1 "Uralic"
c: 3510 -1 "Estonian, Ingrian, Livonian, Vepsian, Votic"
c: 3511 -1 "Estonian"
c: 3520 -1 "Lapp, Inari, Kola, Lule, Pite, Ruija, Skolt, Ume"
c: 3521 -1 "Lappish"
c: 3530 -1 "Other Uralic"
c: 3600 -1 "Turkish"
c: 3700 -1 "Other Altaic"
c: 3701 -1 "Chuvash"
c: 3702 -1 "Karakalpak"
c: 3703 -1 "Kazakh"
c: 3704 -1 "Kirghiz"
c: 3705 -1 "Karachay, Tatar, Balkar, Bashkir, Kumyk"
c: 3706 -1 "Uzbek, Uighur-40"
c: 3707 -1 "Azerbaijani"
c: 3708 -1 "Turkmen"
c: 3709 -1 "Yakut"
c: 3710 -1 "Mongolian"
c: 3711 -1 "Tungus"
c: 3800 -1 "Caucasian, Georgian, Avar"
c: 3810 -1 "Georgian"
c: 3900 -1 "Basque"
c: 4000 -1 "Dravidian"
c: 4001 -1 "Brahui"
c: 4002 -1 "Gondi"
c: 4003 -1 "Telugu"
c: 4004 -1 "Malayalam"
c: 4005 -1 "Tamil"
c: 4010 -1 "Bhili"
c: 4011 -1 "Nepali"
c: 4100 -1 "Kurukh"
c: 4110 -1 "Munda"
c: 4200 -1 "Burushaski"
c: 4300 -1 "Chinese"
c: 4301 -1 "Chinese, Cantonese, Min, Yueh"
c: 4302 -1 "Cantonese, Yueh"
c: 4303 -1 "Mandarin"
c: 4310 -1 "Other Chinese"
c: 4311 -1 "Hakka, Fukien, Kechia"
c: 4312 -1 "Kan, Nan Chang"
c: 4313 -1 "Hsiang, Chansa, Hunan, Iyan"
c: 4314 -1 "Fuchow, Min Pei"
c: 4315 -1 "Wu"
c: 4400 -1 "Tibetan"
c: 4410 -1 "Miao-Yao"
c: 4420 -1 "Miao, Hmong"
c: 4500 -1 "Burmese, Lisu, Lolo"
c: 4510 -1 "Karen"
c: 4600 -1 "Kachin"
c: 4700 -1 "Thai, Siamese, Lao"
c: 4800 -1 "Japanese"
c: 4900 -1 "Korean"
c: 5000 -1 "Vietnamese"
c: 5100 -1 "Other East/Southeast Asian"
c: 5110 -1 "Ainu"
c: 5120 -1 "Mon-Khmer, Cambodian"
c: 5140 -1 "Yukagir"
c: 5150 -1 "Muong"
c: 5200 -1 "Indonesian"
c: 5210 -1 "Buginese"
c: 5220 -1 "Moluccan"
c: 5230 -1 "Achinese"
c: 5240 -1 "Balinese"
c: 5250 -1 "Cham"
c: 5260 -1 "Madurese"
c: 5270 -1 "Malay"
c: 5280 -1 "Minangkabau"
c: 5300 -1 "Other Malayan"
c: 5310 -1 "Formosan, Taiwanese"
c: 5320 -1 "Javanese"
c: 5330 -1 "Malagasy"
c: 5340 -1 "Sundanese"
c: 5400 -1 "Filipino, Tagalog"
c: 5410 -1 "Bisayan"
c: 5420 -1 "Sebuano"
c: 5430 -1 "Pangasinan"
c: 5440 -1 "Ilocano"
c: 5450 -1 "Bikol"
c: 5460 -1 "Pampangan"
c: 5470 -1 "Gorontalo"
c: 5480 -1 "Palau"
c: 5500 -1 "Miconesian, Polynesian"
c: 5501 -1 "Micronesian"
c: 5502 -1 "Carolinian"
c: 5503 -1 "Chamorro, Guamanian"
c: 5504 -1 "Gilbertese"
c: 5505 -1 "Kusaiean"
c: 5506 -1 "Marshallese"
c: 5507 -1 "Mokilese"
c: 5508 -1 "Mortlockese"
c: 5509 -1 "Nauruan"
c: 5510 -1 "Ponapean"
c: 5511 -1 "Trukese"
c: 5512 -1 "Ulithean, Fais"
c: 5513 -1 "Woleai-Ulithi"
c: 5514 -1 "Yapese"
c: 5520 -1 "Melanesian"
c: 5521 -1 "Polynesian"
c: 5522 -1 "Samoan"
c: 5523 -1 "Tongan"
c: 5524 -1 "Niuean"
c: 5525 -1 "Tokelauan"
c: 5526 -1 "Fijian"
c: 5527 -1 "Marquesan"
c: 5528 -1 "Rarotongan"
c: 5529 -1 "Maori"
c: 5530 -1 "Nukuoro, Kapingarangan"
c: 5600 -1 "Hawaiian"
c: 5700 -1 "Arabic"
c: 5710 -1 "Algerian, Moroccan, Tunisian"
c: 5720 -1 "Egyptian"
c: 5730 -1 "Iraqi, Chaldean-70"
c: 5740 -1 "Libyan"
c: 5750 -1 "Maltese"
c: 5800 -1 "Near East Arabic dialect"
c: 5810 -1 "Syriac, Aramaic, Chaldean-40"
c: 5820 -1 "Syrian"
c: 5900 -1 "Hebrew, Israeli"
c: 6000 -1 "Amharic, Ethiopian, etc."
c: 6100 -1 "Hamitic"
c: 6110 -1 "Berber"
c: 6120 -1 "Chadic, Hamitic, Hausa"
c: 6130 -1 "Cushite, Beja, Somali"
c: 6300 -1 "Nilotic"
c: 6301 -1 "Nilo-Hamitic"
c: 6302 -1 "Nubian"
c: 6303 -1 "Saharan"
c: 6304 -1 "Nilo-Saharan, Fur, Songhai"
c: 6305 -1 "Khoisan"
c: 6306 -1 "Sudanic"
c: 6307 -1 "Bantu (many subheads)"
c: 6308 -1 "Swahili"
c: 6309 -1 "Mande"
c: 6310 -1 "Fulani"
c: 6311 -1 "Gur"
c: 6312 -1 "Kru"
c: 6313 -1 "Efik, Ibibio, Tiv"
c: 6314 -1 "Mbum, Gbaya, Sango, Zande"
c: 6320 -1 "Eastern Sudanic and Khoisan"
c: 6321 -1 "Niger-Congo regions (many subheads)"
c: 6322 -1 "Congo, Kongo, Luba, Ruanda, Rundi, Santali, Swahili"
c: 6400 -1 "African, n.s."
c: 7000 -1 "American Indian (all)"
c: 7100 -1 "Aleut, Eskimo"
c: 7110 -1 "Aleut"
c: 7120 -1 "Pacific Gulf Yupik"
c: 7130 -1 "Eskimo"
c: 7140 -1 "Inupik, Innuit"
c: 7150 -1 "St. Lawrence Isl. Yupik"
c: 7160 -1 "Yupik"
c: 7200 -1 "Algonquian"
c: 7201 -1 "Arapaho"
c: 7202 -1 "Atsina, Gros Ventre"
c: 7203 -1 "Blackfoot"
c: 7204 -1 "Cheyenne"
c: 7205 -1 "Cree"
c: 7206 -1 "Delaware, Lenni-Lenape"
c: 7207 -1 "Fox, Sac"
c: 7208 -1 "Kickapoo"
c: 7209 -1 "Menomini"
c: 7210 -1 "Metis, French Cree"
c: 7211 -1 "Miami"
c: 7212 -1 "Micmac"
c: 7213 -1 "Ojibwa, Chippewa"
c: 7214 -1 "Ottawa"
c: 7215 -1 "Passamaquoddy, Malecite"
c: 7216 -1 "Penobscot"
c: 7217 -1 "Abnaki"
c: 7218 -1 "Potawatomi"
c: 7219 -1 "Shawnee"
c: 7300 -1 "Salish, Flathead"
c: 7301 -1 "Lower Chehalis"
c: 7302 -1 "Upper Chehalis, Chelalis, Satsop"
c: 7303 -1 "Clallam"
c: 7304 -1 "Coeur dAlene, Skitsamish"
c: 7305 -1 "Columbia, Chelan, Wenatchee"
c: 7306 -1 "Cowlitz"
c: 7307 -1 "Nootsack"
c: 7308 -1 "Okanogan"
c: 7309 -1 "Puget Sound Salish"
c: 7310 -1 "Quinault, Queets"
c: 7311 -1 "Tillamook"
c: 7312 -1 "Twana"
c: 7313 -1 "Kalispel"
c: 7314 -1 "Spokane"
c: 7400 -1 "Athapascan"
c: 7401 -1 "Ahtena"
c: 7402 -1 "Han"
c: 7403 -1 "Ingalit"
c: 7404 -1 "Koyukon"
c: 7405 -1 "Kuchin"
c: 7406 -1 "Upper Kuskokwim"
c: 7407 -1 "Tanaina"
c: 7408 -1 "Tanana, Minto"
c: 7409 -1 "Tanacross"
c: 7410 -1 "Upper Tanana, Nabesena, Tetlin"
c: 7411 -1 "Tutchone"
c: 7412 -1 "Chasta Costa, Chetco, Coquille, Smith River Athapascan"
c: 7413 -1 "Hupa"
c: 7420 -1 "Apache"
c: 7421 -1 "Jicarilla, Lipan"
c: 7422 -1 "Chiricahua, Mescalero"
c: 7423 -1 "San Carlos, Cibecue, White Mountain"
c: 7424 -1 "Kiowa-Apache"
c: 7430 -1 "Kiowa"
c: 7440 -1 "Eyak"
c: 7450 -1 "Other Athapascan-Eyak, Cahto, Mattole, Wailaki"
c: 7500 -1 "Navajo"
c: 7600 -1 "Penutian-Sahaptin"
c: 7610 -1 "Klamath, Modoc"
c: 7620 -1 "Nez Perce"
c: 7630 -1 "Sahaptian, Celilo, Klikitat, Palouse, Tenino, Umatilla, Warm"
c: 7700 -1 "Mountain Maidu, Maidu"
c: 7701 -1 "Northwest Maidu, Concow"
c: 7702 -1 "Southern Maidu, Nisenan"
c: 7703 -1 "Coast Miwok, Bodega, Marin"
c: 7704 -1 "Plains Miwok"
c: 7705 -1 "Sierra Miwok, Miwok"
c: 7706 -1 "Nomlaki, Tehama"
c: 7707 -1 "Patwin, Colouse, Suisun"
c: 7708 -1 "Wintun"
c: 7709 -1 "Foothill North Yokuts"
c: 7710 -1 "Tachi"
c: 7711 -1 "Santiam, Calapooya, Wapatu"
c: 7712 -1 "Siuslaw, Coos, Lower Umpqua"
c: 7713 -1 "Tsimshian"
c: 7714 -1 "Upper Chinook, Clackamas, Multnomah, Wasco, Wishram"
c: 7715 -1 "Chinook Jargon"
c: 7800 -1 "Zuni"
c: 7900 -1 "Yuman"
c: 7910 -1 "Upriver Yuman"
c: 7920 -1 "Cocomaricopa"
c: 7930 -1 "Mohave"
c: 7940 -1 "Diegueno"
c: 7950 -1 "Delta River Yuman"
c: 7960 -1 "Upland Yuman"
c: 7970 -1 "Havasupai"
c: 7980 -1 "Walapai"
c: 7990 -1 "Yavapai"
c: 8000 -1 "Achumawi"
c: 8010 -1 "Atsugewi"
c: 8020 -1 "Karok"
c: 8030 -1 "Pomo"
c: 8040 -1 "Shastan"
c: 8050 -1 "Washo"
c: 8060 -1 "Chumash"
c: 8100 -1 "Siouan languages:"
c: 8101 -1 "Crow, Absaroke"
c: 8102 -1 "Hidatsa"
c: 8103 -1 "Mandan"
c: 8104 -1 "Dakota, Lakota, Nakota, Sioux"
c: 8105 -1 "Chiwere"
c: 8106 -1 "Winnebago"
c: 8107 -1 "Kansa, Kaw"
c: 8108 -1 "Omaha"
c: 8109 -1 "Osage"
c: 8110 -1 "Ponca"
c: 8111 -1 "Quapaw, Arkansas"
c: 8120 -1 "Iowa"
c: 8200 -1 "Muskogean"
c: 8210 -1 "Alabama"
c: 8220 -1 "Choctaw, Chickasaw"
c: 8230 -1 "Mikasuki"
c: 8240 -1 "Hichita, Apalachicola"
c: 8250 -1 "Koasati"
c: 8260 -1 "Muskogee, Creek, Seminole"
c: 8300 -1 "Keres"
c: 8400 -1 "Iroquoian"
c: 8410 -1 "Mohawk"
c: 8420 -1 "Oneida"
c: 8430 -1 "Onondaga"
c: 8440 -1 "Cayuga"
c: 8450 -1 "Seneca"
c: 8460 -1 "Tuscarora"
c: 8470 -1 "Wyandot, Huron"
c: 8480 -1 "Cherokee"
c: 8500 -1 "Caddoan"
c: 8510 -1 "Arikara"
c: 8520 -1 "Pawnee"
c: 8530 -1 "Wichita"
c: 8600 -1 "Shoshonean/Hopi:"
c: 8601 -1 "Comanche"
c: 8602 -1 "Mono, Owens Valley Paiute"
c: 8603 -1 "Paiute"
c: 8604 -1 "Northern Paiute, Bannock, Num, Snake"
c: 8605 -1 "Southern Paiute"
c: 8606 -1 "Chemehuevi"
c: 8607 -1 "Kawaiisu"
c: 8608 -1 "Ute"
c: 8609 -1 "Shoshoni"
c: 8610 -1 "Panamint"
c: 8620 -1 "Hopi"
c: 8630 -1 "Cahuilla"
c: 8631 -1 "Cupeno"
c: 8632 -1 "Luiseno"
c: 8633 -1 "Serrano"
c: 8640 -1 "Tubatulabal"
c: 8700 -1 "Pima, Papago"
c: 8800 -1 "Yaqui"
c: 8820 -1 "Tarahumara"
c: 8900 -1 "Aztecan, Nahuatl, Uto-Aztecan"
c: 8910 -1 "Aztecan, Mexicano, Nahua"
c: 9000 -1 "Tanoan languages"
c: 9010 -1 "Picuris, Northern Tiwa, Taos"
c: 9020 -1 "Tiwa, Isleta"
c: 9030 -1 "Sandia"
c: 9040 -1 "Tewa, Hano, Hopi-Tewa, San Ildefonso, San Juan, Santa Clara"
c: 9100 -1 "Wiyot"
c: 9101 -1 "Yurok"
c: 9110 -1 "Kwakiutl"
c: 9111 -1 "Nootka"
c: 9112 -1 "Makah"
c: 9120 -1 "Kutenai"
c: 9130 -1 "Haida"
c: 9131 -1 "Tlingit, Chilkat, Sitka, Tongass, Yakutat"
c: 9140 -1 "Tonkawa"
c: 9150 -1 "Yuchi"
c: 9160 -1 "Chetemacha"
c: 9170 -1 "Yuki"
c: 9171 -1 "Wappo"
c: 9200 -1 "Mayan languages"
c: 9211 -1 "Cakchiquel"
c: 9212 -1 "Mam"
c: 9213 -1 "Maya"
c: 9214 -1 "Quekchi"
c: 9215 -1 "Quiche"
c: 9220 -1 "Tarascan"
c: 9231 -1 "Araucanian"
c: 9241 -1 "Mixtec"
c: 9242 -1 "Zapotec"
c: 9250 -1 "Quechua"
c: 9260 -1 "Aymara"
c: 9271 -1 "Island Carib"
c: 9281 -1 "Cuna"
c: 9282 -1 "Guaymi"
c: 9291 -1 "Tupi"
c: 9292 -1 "Guarani"
c: 9300 -1 "American Indian, n.s."
c: 9400 -1 "Native"
c: 9600 -1 "Other"
c: 9601 -1 "Other (not classified)"
c: 9602 -1 "Other (not specified)"
c: 9700 -1 "Unknown"
c: 9900 -1 "Not reported, blank"
I: FMTONGUE 0 99 -1 96 151 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx.xx...........................................
l: Father''s mother tongue [general version]
s: Father''s mother tongue [general version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or blank"
c: 1 -1 "English"
c: 2 -1 "German"
c: 3 -1 "Yiddish, Jewish"
c: 4 -1 "Dutch"
c: 5 -1 "Swedish"
c: 6 -1 "Danish"
c: 7 -1 "Norwegian"
c: 8 -1 "Icelandic"
c: 9 -1 "Scandinavian"
c: 10 -1 "Italian"
c: 11 -1 "French"
c: 12 -1 "Spanish"
c: 13 -1 "Portuguese"
c: 14 -1 "Rumanian"
c: 15 -1 "Celtic"
c: 16 -1 "Greek"
c: 17 -1 "Albanian"
c: 18 -1 "Russian"
c: 19 -1 "Ukranian"
c: 20 -1 "Czech"
c: 21 -1 "Polish"
c: 22 -1 "Slovak"
c: 23 -1 "Serbo-Croatian, Yugoslavian"
c: 24 -1 "Slovene"
c: 25 -1 "Lithuanian"
c: 26 -1 "Other Balto-Slavic"
c: 27 -1 "Slavic unknown"
c: 28 -1 "Armenian"
c: 29 -1 "Persian, Iranian, Farssi"
c: 30 -1 "Other Persian dialects"
c: 31 -1 "Hindi and related"
c: 32 -1 "Romany, Gypsy"
c: 33 -1 "Finnish"
c: 34 -1 "Magyar, Hungarian"
c: 35 -1 "Uralic"
c: 36 -1 "Turkish"
c: 37 -1 "Other Altaic"
c: 38 -1 "Caucasian, Gerogian, Avar"
c: 39 -1 "Basque"
c: 40 -1 "Dravidian"
c: 41 -1 "Kurukh"
c: 42 -1 "Burushaski"
c: 43 -1 "Chinese"
c: 44 -1 "Tibetan"
c: 45 -1 "Burmese, Lisu, Lolo"
c: 46 -1 "Kachin"
c: 47 -1 "Thai, Siamese, Lao"
c: 48 -1 "Japanese"
c: 49 -1 "Korean"
c: 50 -1 "Vietnamese"
c: 51 -1 "Other East/Southeast Asian"
c: 52 -1 "Indonesian"
c: 53 -1 "Other Malayan"
c: 54 -1 "Filipino, Tagalog"
c: 55 -1 "Micronesian, Polynesian"
c: 56 -1 "Hawaiian"
c: 57 -1 "Arabic"
c: 58 -1 "Near East Arabic dialect"
c: 59 -1 "Hebrew, Israeli"
c: 60 -1 "Amharic, Ethiopian"
c: 63 -1 "Nilotic"
c: 64 -1 "African, ns"
c: 70 -1 "American Indian (all)"
c: 71 -1 "Aleut, Eskimo"
c: 72 -1 "Algonquian"
c: 73 -1 "Salish, Flathead"
c: 74 -1 "Athapascan"
c: 75 -1 "Navajo"
c: 76 -1 "Penutian-Sahaptin"
c: 77 -1 "Mountain Maidu, Maidu"
c: 78 -1 "Zuni"
c: 79 -1 "Yuman"
c: 80 -1 "Achumawi"
c: 81 -1 "Siouan languages"
c: 82 -1 "Muskogean"
c: 83 -1 "Keres"
c: 84 -1 "Iroquoian"
c: 85 -1 "Caddoan"
c: 86 -1 "Shoshonean/Hopi"
c: 87 -1 "Pima/Papago"
c: 88 -1 "Yaqui"
c: 89 -1 "Aztecan, Nahuatl, Uto-Aztecan"
c: 90 -1 "Tanoan languages"
c: 91 -1 "Wiyot"
c: 92 -1 "Mayan languages"
c: 93 -1 "American Indian, n.s."
c: 94 -1 "Native"
c: 96 -1 "Other"
c: 97 -1 "Unknown"
c: 99 -1 "Not reported, blank"
I: FMTONGD 0 9900 -1 9600 153 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx.xx...........................................
l: Father''s mother tongue [detailed version]
s: Father''s mother tongue [detailed version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or blank"
c: 100 -1 "English"
c: 110 -1 "Jamaican Creole"
c: 120 -1 "Krio, Pidgin Krio"
c: 130 -1 "Hawaiian Pidgin"
c: 140 -1 "Pidgin"
c: 150 -1 "Gullah, Geechee"
c: 160 -1 "Saramacca"
c: 200 -1 "German"
c: 210 -1 "Austrian"
c: 220 -1 "Swiss"
c: 230 -1 "Luxembourgian"
c: 240 -1 "Pennsylvania Dutch"
c: 300 -1 "Yiddish, Jewish"
c: 310 -1 "Jewish"
c: 320 -1 "Yiddish"
c: 400 -1 "Dutch"
c: 410 -1 "Dutch, Flemish, Belgian"
c: 420 -1 "Afrikaans"
c: 430 -1 "Frisian"
c: 440 -1 "Dutch, Afrikaans, Frisian"
c: 450 -1 "Belgian, Flemish"
c: 460 -1 "Belgian"
c: 470 -1 "Flemish"
c: 500 -1 "Swedish"
c: 600 -1 "Danish"
c: 700 -1 "Norwegian"
c: 800 -1 "Icelandic"
c: 810 -1 "Faroese"
c: 900 -1 "Scandinavian"
c: 1000 -1 "Italian"
c: 1010 -1 "Rhaeto-Romanic, Ladin"
c: 1020 -1 "Friulian"
c: 1030 -1 "Romansh"
c: 1100 -1 "French"
c: 1110 -1 "French, Walloon"
c: 1120 -1 "Provencal"
c: 1130 -1 "Patois"
c: 1140 -1 "French or Haitian Creole"
c: 1150 -1 "Cajun"
c: 1200 -1 "Spanish"
c: 1210 -1 "Catalonian, Valencian"
c: 1220 -1 "Ladino, Sefaradit, Spanol"
c: 1230 -1 "Pachuco"
c: 1240 -1 "Papia Mentae"
c: 1250 -1 "Mexican"
c: 1300 -1 "Portuguese"
c: 1400 -1 "Rumanian"
c: 1500 -1 "Celtic"
c: 1510 -1 "Welsh, Breton, Cornish"
c: 1520 -1 "Welsh"
c: 1530 -1 "Breton"
c: 1540 -1 "Irish Gaelic, Gaelic"
c: 1550 -1 "Gaelic"
c: 1560 -1 "Irish"
c: 1570 -1 "Scottish Gaelic"
c: 1580 -1 "Scotch"
c: 1590 -1 "Manx, Manx Gaelic"
c: 1600 -1 "Greek"
c: 1700 -1 "Albanian"
c: 1800 -1 "Russian"
c: 1810 -1 "Russian, Great Russian"
c: 1811 -1 "Great Russian"
c: 1820 -1 "Bielo-, White Russian"
c: 1900 -1 "Ukrainian"
c: 1910 -1 "Ruthenian"
c: 1920 -1 "Little Russian"
c: 1930 -1 "Ukranian"
c: 2000 -1 "Czech"
c: 2010 -1 "Bohemian"
c: 2020 -1 "Moravian"
c: 2100 -1 "Polish"
c: 2110 -1 "Kashubian, Slovincian"
c: 2200 -1 "Slovak"
c: 2300 -1 "Serbo-Croatian, Yugoslavian, Slavonian"
c: 2310 -1 "Croatian"
c: 2320 -1 "Serbian"
c: 2330 -1 "Dalmatian, Montenegrin"
c: 2331 -1 "Dalmatian"
c: 2332 -1 "Montenegrin"
c: 2400 -1 "Slovene"
c: 2500 -1 "Lithuanian"
c: 2510 -1 "Lettish"
c: 2600 -1 "Other Balto-Slavic"
c: 2610 -1 "Bulgarian"
c: 2620 -1 "Lusatian, Sorbian, Wendish"
c: 2621 -1 "Wendish"
c: 2630 -1 "Macedonian"
c: 2700 -1 "Slavic unknown"
c: 2800 -1 "Armenian"
c: 2900 -1 "Persian, Iranian, Farssi"
c: 2910 -1 "Persian"
c: 3000 -1 "Other Persian dialects"
c: 3010 -1 "Pashto, Afghan"
c: 3020 -1 "Kurdish"
c: 3030 -1 "Balochi"
c: 3040 -1 "Tadzhik"
c: 3050 -1 "Ossete"
c: 3100 -1 "Hindi and related"
c: 3101 -1 "Hindi, Hindustani, Indic, Jaipuri, Pali, Urdu"
c: 3102 -1 "Hindi, Hindustani, Urdu"
c: 3103 -1 "Hindu"
c: 3110 -1 "Other Indo-Aryan"
c: 3111 -1 "Sanskrit"
c: 3112 -1 "Bengali"
c: 3113 -1 "Panjabi"
c: 3114 -1 "Marathi"
c: 3115 -1 "Gujarathi"
c: 3116 -1 "Bihari"
c: 3117 -1 "Rajasthani"
c: 3118 -1 "Oriya"
c: 3119 -1 "Assamese"
c: 3120 -1 "Kashmiri"
c: 3121 -1 "Sindhi"
c: 3122 -1 "Maldivian"
c: 3123 -1 "Sinhalese"
c: 3130 -1 "Kannada"
c: 3190 -1 "Georgian"
c: 3200 -1 "Romany, Gypsy"
c: 3210 -1 "Gypsy"
c: 3300 -1 "Finnish"
c: 3400 -1 "Magyar, Hungarian"
c: 3401 -1 "Magyar"
c: 3402 -1 "Hungarian"
c: 3500 -1 "Uralic"
c: 3510 -1 "Estonian, Ingrian, Livonian, Vepsian, Votic"
c: 3511 -1 "Estonian"
c: 3520 -1 "Lapp, Inari, Kola, Lule, Pite, Ruija, Skolt, Ume"
c: 3521 -1 "Lappish"
c: 3530 -1 "Other Uralic"
c: 3600 -1 "Turkish"
c: 3700 -1 "Other Altaic"
c: 3701 -1 "Chuvash"
c: 3702 -1 "Karakalpak"
c: 3703 -1 "Kazakh"
c: 3704 -1 "Kirghiz"
c: 3705 -1 "Karachay, Tatar, Balkar, Bashkir, Kumyk"
c: 3706 -1 "Uzbek, Uighur-40"
c: 3707 -1 "Azerbaijani"
c: 3708 -1 "Turkmen"
c: 3709 -1 "Yakut"
c: 3710 -1 "Mongolian"
c: 3711 -1 "Tungus"
c: 3800 -1 "Caucasian, Georgian, Avar"
c: 3810 -1 "Georgian"
c: 3900 -1 "Basque"
c: 4000 -1 "Dravidian"
c: 4001 -1 "Brahui"
c: 4002 -1 "Gondi"
c: 4003 -1 "Telugu"
c: 4004 -1 "Malayalam"
c: 4005 -1 "Tamil"
c: 4010 -1 "Bhili"
c: 4011 -1 "Nepali"
c: 4100 -1 "Kurukh"
c: 4110 -1 "Munda"
c: 4200 -1 "Burushaski"
c: 4300 -1 "Chinese"
c: 4301 -1 "Chinese, Cantonese, Min, Yueh"
c: 4302 -1 "Cantonese, Yueh"
c: 4303 -1 "Mandarin"
c: 4310 -1 "Other Chinese"
c: 4311 -1 "Hakka, Fukien, Kechia"
c: 4312 -1 "Kan, Nan Chang"
c: 4313 -1 "Hsiang, Chansa, Hunan, Iyan"
c: 4314 -1 "Fuchow, Min Pei"
c: 4315 -1 "Wu"
c: 4400 -1 "Tibetan"
c: 4410 -1 "Miao-Yao"
c: 4420 -1 "Miao, Hmong"
c: 4500 -1 "Burmese, Lisu, Lolo"
c: 4510 -1 "Karen"
c: 4600 -1 "Kachin"
c: 4700 -1 "Thai, Siamese, Lao"
c: 4800 -1 "Japanese"
c: 4900 -1 "Korean"
c: 5000 -1 "Vietnamese"
c: 5100 -1 "Other East/Southeast Asian"
c: 5110 -1 "Ainu"
c: 5120 -1 "Mon-Khmer, Cambodian"
c: 5140 -1 "Yukagir"
c: 5150 -1 "Muong"
c: 5200 -1 "Indonesian"
c: 5210 -1 "Buginese"
c: 5220 -1 "Moluccan"
c: 5230 -1 "Achinese"
c: 5240 -1 "Balinese"
c: 5250 -1 "Cham"
c: 5260 -1 "Madurese"
c: 5270 -1 "Malay"
c: 5280 -1 "Minangkabau"
c: 5300 -1 "Other Malayan"
c: 5310 -1 "Formosan, Taiwanese"
c: 5320 -1 "Javanese"
c: 5330 -1 "Malagasy"
c: 5340 -1 "Sundanese"
c: 5400 -1 "Filipino, Tagalog"
c: 5410 -1 "Bisayan"
c: 5420 -1 "Sebuano"
c: 5430 -1 "Pangasinan"
c: 5440 -1 "Ilocano"
c: 5450 -1 "Bikol"
c: 5460 -1 "Pampangan"
c: 5470 -1 "Gorontalo"
c: 5480 -1 "Palau"
c: 5500 -1 "Miconesian, Polynesian"
c: 5501 -1 "Micronesian"
c: 5502 -1 "Carolinian"
c: 5503 -1 "Chamorro, Guamanian"
c: 5504 -1 "Gilbertese"
c: 5505 -1 "Kusaiean"
c: 5506 -1 "Marshallese"
c: 5507 -1 "Mokilese"
c: 5508 -1 "Mortlockese"
c: 5509 -1 "Nauruan"
c: 5510 -1 "Ponapean"
c: 5511 -1 "Trukese"
c: 5512 -1 "Ulithean, Fais"
c: 5513 -1 "Woleai-Ulithi"
c: 5514 -1 "Yapese"
c: 5520 -1 "Melanesian"
c: 5521 -1 "Polynesian"
c: 5522 -1 "Samoan"
c: 5523 -1 "Tongan"
c: 5524 -1 "Niuean"
c: 5525 -1 "Tokelauan"
c: 5526 -1 "Fijian"
c: 5527 -1 "Marquesan"
c: 5528 -1 "Rarotongan"
c: 5529 -1 "Maori"
c: 5530 -1 "Nukuoro, Kapingarangan"
c: 5600 -1 "Hawaiian"
c: 5700 -1 "Arabic"
c: 5710 -1 "Algerian, Moroccan, Tunisian"
c: 5720 -1 "Egyptian"
c: 5730 -1 "Iraqi, Chaldean-70"
c: 5740 -1 "Libyan"
c: 5750 -1 "Maltese"
c: 5800 -1 "Near East Arabic dialect"
c: 5810 -1 "Syriac, Aramaic, Chaldean-40"
c: 5820 -1 "Syrian"
c: 5900 -1 "Hebrew, Israeli"
c: 6000 -1 "Amharic, Ethiopian, etc."
c: 6100 -1 "Hamitic"
c: 6110 -1 "Berber"
c: 6120 -1 "Chadic, Hamitic, Hausa"
c: 6130 -1 "Cushite, Beja, Somali"
c: 6300 -1 "Nilotic"
c: 6301 -1 "Nilo-Hamitic"
c: 6302 -1 "Nubian"
c: 6303 -1 "Saharan"
c: 6304 -1 "Nilo-Saharan, Fur, Songhai"
c: 6305 -1 "Khoisan"
c: 6306 -1 "Sudanic"
c: 6307 -1 "Bantu (many subheads)"
c: 6308 -1 "Swahili"
c: 6309 -1 "Mande"
c: 6310 -1 "Fulani"
c: 6311 -1 "Gur"
c: 6312 -1 "Kru"
c: 6313 -1 "Efik, Ibibio, Tiv"
c: 6314 -1 "Mbum, Gbaya, Sango, Zande"
c: 6320 -1 "Eastern Sudanic and Khoisan"
c: 6321 -1 "Niger-Congo regions (many subheads)"
c: 6322 -1 "Congo, Kongo, Luba, Ruanda, Rundi, Santali, Swahili"
c: 6400 -1 "African, n.s."
c: 7000 -1 "American Indian (all)"
c: 7100 -1 "Aleut, Eskimo"
c: 7110 -1 "Aleut"
c: 7120 -1 "Pacific Gulf Yupik"
c: 7130 -1 "Eskimo"
c: 7140 -1 "Inupik, Innuit"
c: 7150 -1 "St. Lawrence Isl. Yupik"
c: 7160 -1 "Yupik"
c: 7200 -1 "Algonquian"
c: 7201 -1 "Arapaho"
c: 7202 -1 "Atsina, Gros Ventre"
c: 7203 -1 "Blackfoot"
c: 7204 -1 "Cheyenne"
c: 7205 -1 "Cree"
c: 7206 -1 "Delaware, Lenni-Lenape"
c: 7207 -1 "Fox, Sac"
c: 7208 -1 "Kickapoo"
c: 7209 -1 "Menomini"
c: 7210 -1 "Metis, French Cree"
c: 7211 -1 "Miami"
c: 7212 -1 "Micmac"
c: 7213 -1 "Ojibwa, Chippewa"
c: 7214 -1 "Ottawa"
c: 7215 -1 "Passamaquoddy, Malecite"
c: 7216 -1 "Penobscot"
c: 7217 -1 "Abnaki"
c: 7218 -1 "Potawatomi"
c: 7219 -1 "Shawnee"
c: 7300 -1 "Salish, Flathead"
c: 7301 -1 "Lower Chehalis"
c: 7302 -1 "Upper Chehalis, Chelalis, Satsop"
c: 7303 -1 "Clallam"
c: 7304 -1 "Coeur dAlene, Skitsamish"
c: 7305 -1 "Columbia, Chelan, Wenatchee"
c: 7306 -1 "Cowlitz"
c: 7307 -1 "Nootsack"
c: 7308 -1 "Okanogan"
c: 7309 -1 "Puget Sound Salish"
c: 7310 -1 "Quinault, Queets"
c: 7311 -1 "Tillamook"
c: 7312 -1 "Twana"
c: 7313 -1 "Kalispel"
c: 7314 -1 "Spokane"
c: 7400 -1 "Athapascan"
c: 7401 -1 "Ahtena"
c: 7402 -1 "Han"
c: 7403 -1 "Ingalit"
c: 7404 -1 "Koyukon"
c: 7405 -1 "Kuchin"
c: 7406 -1 "Upper Kuskokwim"
c: 7407 -1 "Tanaina"
c: 7408 -1 "Tanana, Minto"
c: 7409 -1 "Tanacross"
c: 7410 -1 "Upper Tanana, Nabesena, Tetlin"
c: 7411 -1 "Tutchone"
c: 7412 -1 "Chasta Costa, Chetco, Coquille, Smith River Athapascan"
c: 7413 -1 "Hupa"
c: 7420 -1 "Apache"
c: 7421 -1 "Jicarilla, Lipan"
c: 7422 -1 "Chiricahua, Mescalero"
c: 7423 -1 "San Carlos, Cibecue, White Mountain"
c: 7424 -1 "Kiowa-Apache"
c: 7430 -1 "Kiowa"
c: 7440 -1 "Eyak"
c: 7450 -1 "Other Athapascan-Eyak, Cahto, Mattole, Wailaki"
c: 7500 -1 "Navajo"
c: 7600 -1 "Penutian-Sahaptin"
c: 7610 -1 "Klamath, Modoc"
c: 7620 -1 "Nez Perce"
c: 7630 -1 "Sahaptian, Celilo, Klikitat, Palouse, Tenino, Umatilla, Warm"
c: 7700 -1 "Mountain Maidu, Maidu"
c: 7701 -1 "Northwest Maidu, Concow"
c: 7702 -1 "Southern Maidu, Nisenan"
c: 7703 -1 "Coast Miwok, Bodega, Marin"
c: 7704 -1 "Plains Miwok"
c: 7705 -1 "Sierra Miwok, Miwok"
c: 7706 -1 "Nomlaki, Tehama"
c: 7707 -1 "Patwin, Colouse, Suisun"
c: 7708 -1 "Wintun"
c: 7709 -1 "Foothill North Yokuts"
c: 7710 -1 "Tachi"
c: 7711 -1 "Santiam, Calapooya, Wapatu"
c: 7712 -1 "Siuslaw, Coos, Lower Umpqua"
c: 7713 -1 "Tsimshian"
c: 7714 -1 "Upper Chinook, Clackamas, Multnomah, Wasco, Wishram"
c: 7715 -1 "Chinook Jargon"
c: 7800 -1 "Zuni"
c: 7900 -1 "Yuman"
c: 7910 -1 "Upriver Yuman"
c: 7920 -1 "Cocomaricopa"
c: 7930 -1 "Mohave"
c: 7940 -1 "Diegueno"
c: 7950 -1 "Delta River Yuman"
c: 7960 -1 "Upland Yuman"
c: 7970 -1 "Havasupai"
c: 7980 -1 "Walapai"
c: 7990 -1 "Yavapai"
c: 8000 -1 "Achumawi"
c: 8010 -1 "Atsugewi"
c: 8020 -1 "Karok"
c: 8030 -1 "Pomo"
c: 8040 -1 "Shastan"
c: 8050 -1 "Washo"
c: 8060 -1 "Chumash"
c: 8100 -1 "Siouan languages:"
c: 8101 -1 "Crow, Absaroke"
c: 8102 -1 "Hidatsa"
c: 8103 -1 "Mandan"
c: 8104 -1 "Dakota, Lakota, Nakota, Sioux"
c: 8105 -1 "Chiwere"
c: 8106 -1 "Winnebago"
c: 8107 -1 "Kansa, Kaw"
c: 8108 -1 "Omaha"
c: 8109 -1 "Osage"
c: 8110 -1 "Ponca"
c: 8111 -1 "Quapaw, Arkansas"
c: 8120 -1 "Iowa"
c: 8200 -1 "Muskogean"
c: 8210 -1 "Alabama"
c: 8220 -1 "Choctaw, Chickasaw"
c: 8230 -1 "Mikasuki"
c: 8240 -1 "Hichita, Apalachicola"
c: 8250 -1 "Koasati"
c: 8260 -1 "Muskogee, Creek, Seminole"
c: 8300 -1 "Keres"
c: 8400 -1 "Iroquoian"
c: 8410 -1 "Mohawk"
c: 8420 -1 "Oneida"
c: 8430 -1 "Onondaga"
c: 8440 -1 "Cayuga"
c: 8450 -1 "Seneca"
c: 8460 -1 "Tuscarora"
c: 8470 -1 "Wyandot, Huron"
c: 8480 -1 "Cherokee"
c: 8500 -1 "Caddoan"
c: 8510 -1 "Arikara"
c: 8520 -1 "Pawnee"
c: 8530 -1 "Wichita"
c: 8600 -1 "Shoshonean/Hopi:"
c: 8601 -1 "Comanche"
c: 8602 -1 "Mono, Owens Valley Paiute"
c: 8603 -1 "Paiute"
c: 8604 -1 "Northern Paiute, Bannock, Num, Snake"
c: 8605 -1 "Southern Paiute"
c: 8606 -1 "Chemehuevi"
c: 8607 -1 "Kawaiisu"
c: 8608 -1 "Ute"
c: 8609 -1 "Shoshoni"
c: 8610 -1 "Panamint"
c: 8620 -1 "Hopi"
c: 8630 -1 "Cahuilla"
c: 8631 -1 "Cupeno"
c: 8632 -1 "Luiseno"
c: 8633 -1 "Serrano"
c: 8640 -1 "Tubatulabal"
c: 8700 -1 "Pima, Papago"
c: 8800 -1 "Yaqui"
c: 8820 -1 "Tarahumara"
c: 8900 -1 "Aztecan, Nahuatl, Uto-Aztecan"
c: 8910 -1 "Aztecan, Mexicano, Nahua"
c: 9000 -1 "Tanoan languages"
c: 9010 -1 "Picuris, Northern Tiwa, Taos"
c: 9020 -1 "Tiwa, Isleta"
c: 9030 -1 "Sandia"
c: 9040 -1 "Tewa, Hano, Hopi-Tewa, San Ildefonso, San Juan, Santa Clara"
c: 9100 -1 "Wiyot"
c: 9101 -1 "Yurok"
c: 9110 -1 "Kwakiutl"
c: 9111 -1 "Nootka"
c: 9112 -1 "Makah"
c: 9120 -1 "Kutenai"
c: 9130 -1 "Haida"
c: 9131 -1 "Tlingit, Chilkat, Sitka, Tongass, Yakutat"
c: 9140 -1 "Tonkawa"
c: 9150 -1 "Yuchi"
c: 9160 -1 "Chetemacha"
c: 9170 -1 "Yuki"
c: 9171 -1 "Wappo"
c: 9200 -1 "Mayan languages"
c: 9211 -1 "Cakchiquel"
c: 9212 -1 "Mam"
c: 9213 -1 "Maya"
c: 9214 -1 "Quekchi"
c: 9215 -1 "Quiche"
c: 9220 -1 "Tarascan"
c: 9231 -1 "Araucanian"
c: 9241 -1 "Mixtec"
c: 9242 -1 "Zapotec"
c: 9250 -1 "Quechua"
c: 9260 -1 "Aymara"
c: 9271 -1 "Island Carib"
c: 9281 -1 "Cuna"
c: 9282 -1 "Guaymi"
c: 9291 -1 "Tupi"
c: 9292 -1 "Guarani"
c: 9300 -1 "American Indian, n.s."
c: 9400 -1 "Native"
c: 9600 -1 "Other"
c: 9601 -1 "Other (not classified)"
c: 9602 -1 "Other (not specified)"
c: 9700 -1 "Unknown"
c: 9900 -1 "Not reported, blank"
I: LANGUAGE 0 96 -1 96 157 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxx...............xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Language spoken [general version]
s: Language spoken [general version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or blank"
c: 1 -1 "English"
c: 2 -1 "German"
c: 3 -1 "Yiddish, Jewish"
c: 4 -1 "Dutch"
c: 5 -1 "Swedish"
c: 6 -1 "Danish"
c: 7 -1 "Norwegian"
c: 8 -1 "Icelandic"
c: 10 -1 "Italian"
c: 11 -1 "French"
c: 12 -1 "Spanish"
c: 13 -1 "Portuguese"
c: 14 -1 "Rumanian"
c: 15 -1 "Celtic"
c: 16 -1 "Greek"
c: 17 -1 "Albanian"
c: 18 -1 "Russian"
c: 19 -1 "Ukrainian, Ruthenian, Little Russian"
c: 20 -1 "Czech"
c: 21 -1 "Polish"
c: 22 -1 "Slovak"
c: 23 -1 "Serbo-Croatian, Yugoslavian, Slavonian"
c: 24 -1 "Slovene"
c: 25 -1 "Lithuanian"
c: 26 -1 "Other Balto-Slavic"
c: 27 -1 "Slavic unknown"
c: 28 -1 "Armenian"
c: 29 -1 "Persian, Iranian, Farssi"
c: 30 -1 "Other Persian dialects"
c: 31 -1 "Hindi and related"
c: 32 -1 "Romany, Gypsy"
c: 33 -1 "Finnish"
c: 34 -1 "Magyar, Hungarian"
c: 35 -1 "Uralic"
c: 36 -1 "Turkish"
c: 37 -1 "Other Altaic"
c: 38 -1 "Caucasian, Georgian, Avar"
c: 39 -1 "Basque"
c: 40 -1 "Dravidian"
c: 41 -1 "Kurukh"
c: 42 -1 "Burushaski"
c: 43 -1 "Chinese"
c: 44 -1 "Tibetan"
c: 45 -1 "Burmese, Lisu, Lolo"
c: 46 -1 "Kachin"
c: 47 -1 "Thai, Siamese, Lao"
c: 48 -1 "Japanese"
c: 49 -1 "Korean"
c: 50 -1 "Vietnamese"
c: 51 -1 "Other East/Southeast Asian"
c: 52 -1 "Indonesian"
c: 53 -1 "Other Malayan"
c: 54 -1 "Filipino, Tagalog"
c: 55 -1 "Miconesian, Polynesian"
c: 56 -1 "Hawaiian"
c: 57 -1 "Arabic"
c: 58 -1 "Syriac, Aramaic, Chaldean"
c: 59 -1 "Hebrew, Israeli"
c: 60 -1 "Amharic, Ethiopian, etc."
c: 61 -1 "Hamitic"
c: 63 -1 "Sub-Saharan Africa"
c: 64 -1 "African, n.s."
c: 70 -1 "American Indian (all)"
c: 71 -1 "Aleut, Eskimo"
c: 72 -1 "Algonquian"
c: 73 -1 "Salish, Flathead"
c: 74 -1 "Athapascan"
c: 75 -1 "Navajo"
c: 76 -1 "Penutian-Sahaptin"
c: 77 -1 "Other Penutian"
c: 78 -1 "Zuni"
c: 79 -1 "Yuman"
c: 80 -1 "Other Hokan languages"
c: 81 -1 "Siouan languages"
c: 82 -1 "Muskogean"
c: 83 -1 "Keres"
c: 84 -1 "Iroquoian"
c: 85 -1 "Caddoan"
c: 86 -1 "Shoshonean, Hopi"
c: 87 -1 "Pima, Papago"
c: 88 -1 "Yaqui and other Sonoran, nec"
c: 89 -1 "Other Uto-Aztecan"
c: 90 -1 "Tanoan languages"
c: 91 -1 "Other Indian languages"
c: 92 -1 "Mayan languages"
c: 93 -1 "American Indian, n.s."
c: 94 -1 "Other specified American Indian languages"
c: 95 -1 "No language"
c: 96 -1 "Other or not reported"
I: LANGUAGD 0 9602 -1 9602 159 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxx...............xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Language spoken [detailed version]
s: Language spoken [detailed version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or blank"
c: 100 -1 "English"
c: 110 -1 "Jamaican Creole"
c: 120 -1 "Krio, Pidgin Krio"
c: 130 -1 "Hawaiian Pidgin"
c: 140 -1 "Pidgin"
c: 150 -1 "Gullah, Geechee"
c: 160 -1 "Saramacca"
c: 200 -1 "German"
c: 210 -1 "Austrian"
c: 220 -1 "Swiss"
c: 230 -1 "Luxembourgian"
c: 240 -1 "Pennsylvania Dutch"
c: 300 -1 "Yiddish, Jewish"
c: 400 -1 "Dutch"
c: 410 -1 "Dutch, Flemish, Belgian"
c: 420 -1 "Afrikaans"
c: 430 -1 "Frisian"
c: 460 -1 "Belgian"
c: 470 -1 "Flemish"
c: 500 -1 "Swedish"
c: 600 -1 "Danish"
c: 700 -1 "Norwegian"
c: 800 -1 "Icelandic"
c: 810 -1 "Faroese"
c: 1000 -1 "Italian"
c: 1010 -1 "Rhaeto-Romanic, Ladin"
c: 1100 -1 "French"
c: 1120 -1 "Provencal"
c: 1130 -1 "Patois"
c: 1140 -1 "French or Haitian Creole"
c: 1150 -1 "Cajun"
c: 1200 -1 "Spanish"
c: 1210 -1 "Catalonian, Valencian"
c: 1220 -1 "Ladino, Sefaradit, Spanol"
c: 1230 -1 "Pachuco"
c: 1250 -1 "Mexican"
c: 1300 -1 "Portuguese"
c: 1310 -1 "Papia Mentae"
c: 1400 -1 "Rumanian"
c: 1500 -1 "Celtic"
c: 1520 -1 "Welsh"
c: 1530 -1 "Breton"
c: 1540 -1 "Irish Gaelic, Gaelic"
c: 1550 -1 "Gaelic"
c: 1560 -1 "Irish"
c: 1570 -1 "Scottish Gaelic"
c: 1600 -1 "Greek"
c: 1700 -1 "Albanian"
c: 1800 -1 "Russian"
c: 1810 -1 "Russian, Great Russian"
c: 1820 -1 "Bielo-, White Russian"
c: 1900 -1 "Ukrainian, Ruthenian, Little Russian"
c: 1910 -1 "Ruthenian"
c: 1920 -1 "Little Russian"
c: 2000 -1 "Czech"
c: 2010 -1 "Bohemian"
c: 2020 -1 "Moravian"
c: 2100 -1 "Polish"
c: 2110 -1 "Kashubian, Slovincian"
c: 2200 -1 "Slovak"
c: 2300 -1 "Serbo-Croatian, Yugoslavian, Slavonian"
c: 2310 -1 "Croatian"
c: 2320 -1 "Serbian"
c: 2331 -1 "Dalmatian"
c: 2332 -1 "Montenegrin"
c: 2400 -1 "Slovene"
c: 2500 -1 "Lithuanian"
c: 2510 -1 "Lettish"
c: 2610 -1 "Bulgarian"
c: 2620 -1 "Lusatian, Sorbian,  Wendish"
c: 2630 -1 "Macedonian"
c: 2700 -1 "Slavic unknown"
c: 2800 -1 "Armenian"
c: 2900 -1 "Persian, Iranian, Farssi"
c: 3010 -1 "Pashto, Afghan"
c: 3020 -1 "Kurdish"
c: 3030 -1 "Balochi"
c: 3040 -1 "Tadzhik"
c: 3050 -1 "Ossete"
c: 3100 -1 "Hindi and related"
c: 3101 -1 "Hindi, Hindustani, Indic, Jaipuri, Pali, Urdu"
c: 3102 -1 "Hindi"
c: 3103 -1 "Urdu"
c: 3111 -1 "Sanskrit"
c: 3112 -1 "Bengali"
c: 3113 -1 "Panjabi"
c: 3114 -1 "Marathi"
c: 3115 -1 "Gujarathi"
c: 3116 -1 "Bihari"
c: 3117 -1 "Rajasthani"
c: 3118 -1 "Oriya"
c: 3119 -1 "Assamese"
c: 3120 -1 "Kashmiri"
c: 3121 -1 "Sindhi"
c: 3122 -1 "Maldivian"
c: 3123 -1 "Sinhalese"
c: 3130 -1 "Kannada"
c: 3140 -1 "India nec"
c: 3150 -1 "Pakistan nec"
c: 3190 -1 "Other Indo-European languages"
c: 3200 -1 "Romany, Gypsy"
c: 3300 -1 "Finnish"
c: 3400 -1 "Magyar, Hungarian"
c: 3500 -1 "Uralic"
c: 3510 -1 "Estonian, Ingrian, Livonian, Vepsian,  Votic"
c: 3520 -1 "Lapp, Inari, Kola, Lule, Pite, Ruija, Skolt, Ume"
c: 3530 -1 "Other Uralic"
c: 3600 -1 "Turkish"
c: 3700 -1 "Other Altaic"
c: 3701 -1 "Chuvash"
c: 3702 -1 "Karakalpak"
c: 3703 -1 "Kazakh"
c: 3704 -1 "Kirghiz"
c: 3705 -1 "Karachay, Tatar, Balkar, Bashkir, Kumyk"
c: 3706 -1 "Uzbek, Uighur"
c: 3707 -1 "Azerbaijani"
c: 3708 -1 "Turkmen"
c: 3709 -1 "Yakut"
c: 3710 -1 "Mongolian"
c: 3711 -1 "Tungus"
c: 3800 -1 "Caucasian, Georgian, Avar"
c: 3900 -1 "Basque"
c: 4000 -1 "Dravidian"
c: 4001 -1 "Brahui"
c: 4002 -1 "Gondi"
c: 4003 -1 "Telugu"
c: 4004 -1 "Malayalam"
c: 4005 -1 "Tamil"
c: 4010 -1 "Bhili"
c: 4011 -1 "Nepali"
c: 4100 -1 "Kurukh"
c: 4110 -1 "Munda"
c: 4200 -1 "Burashaski"
c: 4300 -1 "Chinese"
c: 4301 -1 "Chinese, Cantonese, Min, Yueh"
c: 4302 -1 "Cantonese"
c: 4303 -1 "Mandarin"
c: 4311 -1 "Hakka, Fukien, Kechia"
c: 4312 -1 "Kan, Nan Chang"
c: 4313 -1 "Hsiang, Chansa, Hunan,  Iyan"
c: 4314 -1 "Fuchow, Min Pei"
c: 4315 -1 "Wu"
c: 4400 -1 "Tibetan"
c: 4410 -1 "Miao-Yao, Mien"
c: 4420 -1 "Miao, Hmong"
c: 4500 -1 "Burmese, Lisu, Lolo"
c: 4510 -1 "Karen"
c: 4600 -1 "Kachin"
c: 4700 -1 "Thai, Siamese, Lao"
c: 4710 -1 "Thai"
c: 4720 -1 "Laotian"
c: 4800 -1 "Japanese"
c: 4900 -1 "Korean"
c: 5000 -1 "Vietnamese"
c: 5110 -1 "Ainu"
c: 5120 -1 "Mon-Khmer, Cambodian"
c: 5130 -1 "Siberian, n.e.c."
c: 5140 -1 "Yukagir"
c: 5150 -1 "Muong"
c: 5200 -1 "Indonesian"
c: 5210 -1 "Buginese"
c: 5220 -1 "Moluccan"
c: 5230 -1 "Achinese"
c: 5240 -1 "Balinese"
c: 5250 -1 "Cham"
c: 5260 -1 "Madurese"
c: 5270 -1 "Malay"
c: 5280 -1 "Minangkabau"
c: 5290 -1 "Other Asian languages"
c: 5310 -1 "Formosan, Taiwanese"
c: 5320 -1 "Javanese"
c: 5330 -1 "Malagasy"
c: 5340 -1 "Sundanese"
c: 5400 -1 "Filipino, Tagalog"
c: 5410 -1 "Bisayan"
c: 5420 -1 "Sebuano"
c: 5430 -1 "Pangasinan"
c: 5440 -1 "Llocano, Hocano"
c: 5450 -1 "Bikol"
c: 5460 -1 "Pampangan"
c: 5470 -1 "Gorontalo"
c: 5480 -1 "Palau"
c: 5501 -1 "Micronesian"
c: 5502 -1 "Carolinian"
c: 5503 -1 "Chamorro, Guamanian"
c: 5504 -1 "Gilbertese"
c: 5505 -1 "Kusaiean"
c: 5506 -1 "Marshallese"
c: 5507 -1 "Mokilese"
c: 5508 -1 "Mortlockese"
c: 5509 -1 "Nauruan"
c: 5510 -1 "Ponapean"
c: 5511 -1 "Trukese"
c: 5512 -1 "Ulithean, Fais"
c: 5513 -1 "Woleai-Ulithi"
c: 5514 -1 "Yapese"
c: 5520 -1 "Melanesian"
c: 5521 -1 "Polynesian"
c: 5522 -1 "Samoan"
c: 5523 -1 "Tongan"
c: 5524 -1 "Niuean"
c: 5525 -1 "Tokelauan"
c: 5526 -1 "Fijian"
c: 5527 -1 "Marquesan"
c: 5528 -1 "Rarotongan"
c: 5529 -1 "Maori"
c: 5530 -1 "Nukuoro, Kapingarangan"
c: 5590 -1 "Other Pacific Island languages"
c: 5600 -1 "Hawaiian"
c: 5700 -1 "Arabic"
c: 5750 -1 "Maltese"
c: 5810 -1 "Syriac, Aramaic,  Chaldean"
c: 5900 -1 "Hebrew, Israeli"
c: 6000 -1 "Amharic, Ethiopian, etc."
c: 6110 -1 "Berber"
c: 6120 -1 "Chadic, Hamitic, Hausa"
c: 6130 -1 "Cushite, Beja, Somali"
c: 6300 -1 "Nilotic"
c: 6301 -1 "Nilo-Hamitic"
c: 6302 -1 "Nubian"
c: 6303 -1 "Saharan"
c: 6304 -1 "Nilo-Saharan, Fur, Songhai"
c: 6305 -1 "Khoisan"
c: 6306 -1 "Sudanic"
c: 6307 -1 "Bantu (many subheads)"
c: 6308 -1 "Swahili"
c: 6309 -1 "Mande"
c: 6310 -1 "Fulani"
c: 6311 -1 "Gur"
c: 6312 -1 "Kru"
c: 6313 -1 "Efik, Ibibio, Tiv"
c: 6314 -1 "Mbum, Gbaya, Sango, Zande"
c: 6390 -1 "Other specified African languages"
c: 6400 -1 "African, n.s."
c: 7000 -1 "American Indian (all)"
c: 7100 -1 "Aleut, Eskimo"
c: 7110 -1 "Aleut"
c: 7120 -1 "Pacific Gulf Yupik"
c: 7130 -1 "Eskimo"
c: 7140 -1 "Inupik, Innuit"
c: 7150 -1 "St Lawrence Isl. Yupik"
c: 7160 -1 "Yupik"
c: 7200 -1 "Algonquian"
c: 7201 -1 "Arapaho"
c: 7202 -1 "Atsina, Gros Ventre"
c: 7203 -1 "Blackfoot"
c: 7204 -1 "Cheyenne"
c: 7205 -1 "Cree"
c: 7206 -1 "Delaware, Lenni-Lenape"
c: 7207 -1 "Fox, Sac"
c: 7208 -1 "Kickapoo"
c: 7209 -1 "Menomini"
c: 7210 -1 "Metis, French Cree"
c: 7211 -1 "Miami"
c: 7212 -1 "Micmac"
c: 7213 -1 "Ojibwa, Chippewa"
c: 7214 -1 "Ottawa"
c: 7215 -1 "Passamaquoddy, Malecite"
c: 7216 -1 "Penobscot"
c: 7217 -1 "Abnaki"
c: 7218 -1 "Potawatomi"
c: 7219 -1 "Shawnee"
c: 7300 -1 "Salish, Flathead"
c: 7301 -1 "Lower Chehalis"
c: 7302 -1 "Upper Chehalis, Chehalis, Satsop"
c: 7303 -1 "Clallam"
c: 7304 -1 "Coeur dAlene, Skitsamish"
c: 7305 -1 "Columbia, Chelan, Wenatchee"
c: 7306 -1 "Cowlitz"
c: 7307 -1 "Nootsack"
c: 7308 -1 "Okanogan"
c: 7309 -1 "Puget Sound Salish"
c: 7310 -1 "Quinault, Queets"
c: 7311 -1 "Tillamook"
c: 7312 -1 "Twana"
c: 7313 -1 "Kalispel"
c: 7314 -1 "Spokane"
c: 7400 -1 "Athapascan"
c: 7401 -1 "Ahtena"
c: 7402 -1 "Han"
c: 7403 -1 "Ingalit"
c: 7404 -1 "Koyukon"
c: 7405 -1 "Kuchin"
c: 7406 -1 "Upper Kuskokwim"
c: 7407 -1 "Tanaina"
c: 7408 -1 "Tanana, Minto"
c: 7409 -1 "Tanacross"
c: 7410 -1 "Upper Tanana, Nabesena, Tetlin"
c: 7411 -1 "Tutchone"
c: 7412 -1 "Chasta Costa, Chetco, Coquille, Smith, River Athapascan"
c: 7413 -1 "Hupa"
c: 7420 -1 "Apache"
c: 7421 -1 "Jicarilla, Lipan"
c: 7422 -1 "Chiricahua, Mescalero"
c: 7423 -1 "San Carlos, Cibecue, White Mountain"
c: 7424 -1 "Kiowa-Apache"
c: 7430 -1 "Kiowa"
c: 7440 -1 "Eyak"
c: 7450 -1 "Other Athapascan-Eyak, Cahto, Mattole, Wailaki"
c: 7490 -1 "Other Algonquin languages"
c: 7500 -1 "Navajo"
c: 7610 -1 "Klamath, Modoc"
c: 7620 -1 "Nez Perce"
c: 7630 -1 "Sahaptian, Celilo, Klikitat, Palouse, Tenino, Umatilla, Warm"
c: 7700 -1 "Mountain Maidu, Maidu"
c: 7701 -1 "Northwest Maidu, Concow"
c: 7702 -1 "Southern Maidu, Nisenan"
c: 7703 -1 "Coast Miwok, Bodega, Marin"
c: 7704 -1 "Plains Mowak"
c: 7705 -1 "Sierra Miwok, Miwok"
c: 7706 -1 "Nomlaki, Tehama"
c: 7707 -1 "Patwin, Colouse, Suisun"
c: 7708 -1 "Wintun"
c: 7709 -1 "Foothill North Yokuts"
c: 7710 -1 "Tachi"
c: 7711 -1 "Santiam, Calapooya, Waputa"
c: 7712 -1 "Siuslaw, Coos, Lower Umpqua"
c: 7713 -1 "Tsimshian"
c: 7714 -1 "Upper Chinook, Clackamas, Multnomah, Wasco, Wishram"
c: 7715 -1 "Chinook Jargon"
c: 7800 -1 "Zuni"
c: 7900 -1 "Yuman"
c: 7910 -1 "Upriver Yuman"
c: 7920 -1 "Cocomaricopa"
c: 7930 -1 "Mohave"
c: 7940 -1 "Diegueno"
c: 7950 -1 "Delta River Yuman"
c: 7960 -1 "Upland Yuman"
c: 7970 -1 "Havasupai"
c: 7980 -1 "Walapai"
c: 7990 -1 "Yavapai"
c: 8000 -1 "Achumawi"
c: 8010 -1 "Atsugewi"
c: 8020 -1 "Karok"
c: 8030 -1 "Pomo"
c: 8040 -1 "Shastan"
c: 8050 -1 "Washo"
c: 8060 -1 "Chumash"
c: 8101 -1 "Crow, Absaroke"
c: 8102 -1 "Hidatsa"
c: 8103 -1 "Mandan"
c: 8104 -1 "Dakota, Lakota, Nakota, Sioux"
c: 8105 -1 "Chiwere"
c: 8106 -1 "Winnebago"
c: 8107 -1 "Kansa, Kaw"
c: 8108 -1 "Omaha"
c: 8109 -1 "Osage"
c: 8110 -1 "Ponca"
c: 8111 -1 "Quapaw, Arkansas"
c: 8210 -1 "Alabama"
c: 8220 -1 "Choctaw, Chickasaw"
c: 8230 -1 "Mikasuki"
c: 8240 -1 "Hichita, Apalachicola"
c: 8250 -1 "Koasati"
c: 8260 -1 "Muskogee, Creek, Seminole"
c: 8300 -1 "Keres"
c: 8400 -1 "Iroquoian"
c: 8410 -1 "Mohawk"
c: 8420 -1 "Oneida"
c: 8430 -1 "Onandaga"
c: 8440 -1 "Cayuga"
c: 8450 -1 "Seneca"
c: 8460 -1 "Tuscarora"
c: 8470 -1 "Wyando, Huran"
c: 8480 -1 "Cherokee"
c: 8500 -1 "Caddoan"
c: 8510 -1 "Arikara"
c: 8520 -1 "Pawnee"
c: 8530 -1 "Wichita"
c: 8601 -1 "Comanche"
c: 8602 -1 "Mono, Owens Valley Paiute"
c: 8603 -1 "Paiute"
c: 8604 -1 "Northern Paiute, Bannock, Num, Snake"
c: 8605 -1 "Southern Paiute"
c: 8606 -1 "Chemehuevi"
c: 8607 -1 "Kawaiisu"
c: 8608 -1 "Ute"
c: 8609 -1 "Shoshoni"
c: 8610 -1 "Panamint"
c: 8620 -1 "Hopi"
c: 8630 -1 "Cahuilla"
c: 8631 -1 "Cupeno"
c: 8632 -1 "Luiseno"
c: 8633 -1 "Serrano"
c: 8640 -1 "Tubatulabal"
c: 8700 -1 "Pima, Papago"
c: 8800 -1 "Yaqui"
c: 8810 -1 "Sonoran n.e.c., Cahita, Guassave, Huichole, Nayit, Tarahumar"
c: 8910 -1 "Aztecan, Mexicano, Nahua"
c: 9010 -1 "Picuris, Northern Tiwa, Taos"
c: 9020 -1 "Tiwa, Isleta"
c: 9030 -1 "Sandia"
c: 9040 -1 "Tewa, Hano, Hopi-Tewa, San Ildefonso, San Juan, Santa Clara"
c: 9050 -1 "Towa"
c: 9100 -1 "Wiyot"
c: 9101 -1 "Yurok"
c: 9110 -1 "Kwakiutl"
c: 9111 -1 "Nootka"
c: 9112 -1 "Makah"
c: 9120 -1 "Kutenai"
c: 9130 -1 "Haida"
c: 9131 -1 "Tlingit, Chilkat, Sitka, Tongass, Yakutat"
c: 9140 -1 "Tonkawa"
c: 9150 -1 "Yuchi"
c: 9160 -1 "Chetemacha"
c: 9170 -1 "Yuki"
c: 9171 -1 "Wappo"
c: 9200 -1 "Misumalpan"
c: 9210 -1 "Mayan languages"
c: 9220 -1 "Tarascan"
c: 9230 -1 "Mapuche"
c: 9240 -1 "Oto-Manguen"
c: 9250 -1 "Quechua"
c: 9260 -1 "Aymara"
c: 9270 -1 "Arawakian"
c: 9280 -1 "Chibchan"
c: 9290 -1 "Tupi-Guarani"
c: 9300 -1 "American Indian, n.s."
c: 9410 -1 "Other specified American Indian languages"
c: 9420 -1 "South/Central American Indian"
c: 9500 -1 "No language"
c: 9600 -1 "Other or not reported"
c: 9601 -1 "Other n.e.c."
c: 9602 -1 "Other n.s."
I: SPEAKENG 0 6 -1 9 163 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxx.........xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Speaks English
s: Speaks English
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (Blank)"
c: 1 -1 "Does not speak English"
c: 2 -1 "Yes, speaks English..."
c: 3 -1 "Yes, speaks only English"
c: 4 -1 "Yes, speaks very well"
c: 5 -1 "Yes, speaks well"
c: 6 -1 "Yes, but not well"
I: HISPAN 0 9 -1 4 164 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxxxxxx...xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Hispanic origin [general version]
s: Hispanic origin [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not Hispanic"
c: 1 -1 "Mexican"
c: 2 -1 "Puerto Rican"
c: 3 -1 "Cuban"
c: 4 -1 "Other"
c: 9 -1 "Not Reported"
I: HISPAND 0 900 -1 499 165 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxxxxxx...xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Hispanic origin [detailed version]
s: Hispanic origin [detailed version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not Hispanic"
c: 100 -1 "Mexican"
c: 102 -1 "Mexican American"
c: 103 -1 "Mexicano/Mexicana"
c: 104 -1 "Chicano/Chicana"
c: 105 -1 "La Raza"
c: 106 -1 "Mexican American Indian"
c: 107 -1 "Mexico"
c: 200 -1 "Puerto Rican"
c: 300 -1 "Cuban"
c: 401 -1 "Central American Indian"
c: 402 -1 "Canal Zone"
c: 411 -1 "Costa Rican"
c: 412 -1 "Guatemalan"
c: 413 -1 "Honduran"
c: 414 -1 "Nicaraguan"
c: 415 -1 "Panamanian"
c: 416 -1 "Salvadoran"
c: 417 -1 "Central American, n.e.c."
c: 420 -1 "Argentinean"
c: 421 -1 "Bolivian"
c: 422 -1 "Chilean"
c: 423 -1 "Colombian"
c: 424 -1 "Ecuadorian"
c: 425 -1 "Paraguayan"
c: 426 -1 "Peruvian"
c: 427 -1 "Uruguayan"
c: 428 -1 "Venezuelan"
c: 429 -1 "South American Indian"
c: 430 -1 "Criollo"
c: 431 -1 "South American, n.e.c."
c: 450 -1 "Spaniard"
c: 451 -1 "Andalusian"
c: 452 -1 "Asturian"
c: 453 -1 "Castillian"
c: 454 -1 "Catalonian"
c: 455 -1 "Balearic Islander"
c: 456 -1 "Gallego"
c: 457 -1 "Valencian"
c: 458 -1 "Canarian"
c: 459 -1 "Spanish Basque"
c: 460 -1 "Dominican"
c: 465 -1 "Latin American"
c: 470 -1 "Hispanic"
c: 480 -1 "Spanish"
c: 490 -1 "Californio"
c: 491 -1 "Tejano"
c: 492 -1 "Nuevo Mexicano"
c: 493 -1 "Spanish American"
c: 494 -1 "Spanish American Indian"
c: 495 -1 "Meso American Indian"
c: 496 -1 "Mestizo"
c: 498 -1 "Other, n.s."
c: 499 -1 "Other, n.e.c."
c: 900 -1 "Not Reported"
I: SPANNAME 0 9 -1 9 168 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxxxxxx...xxxxx.........................
l: Spanish surname
s: Spanish surname
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, not Spanish surname"
c: 2 -1 "Yes, Spanish surname"
c: 9 -1 "Not reported"
I: SPAN95 0 3 -1 3 169 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Spanish surname, 1950 basis
s: Spanish surname, 1950 basis
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "White, no Spanish surname"
c: 2 -1 "White, Spanish surname"
c: 3 -1 "Nonwhite"
I: HISPRULE 0 8 -1 8 170 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxxxxxx.................................
l: Hispanic origin rule
s: Hispanic origin rule
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not assigned as Hispanic"
c: 1 -1 "Birthplace is Hispanic"
c: 2 -1 "Parental birthplace is Hispanic"
c: 3 -1 "Grandparental birthplace is Hispanic"
c: 4 -1 "Spouse is Hispanic"
c: 5 -1 "Related HH head is Hispanic"
c: 6 -1 "Spanish surname"
c: 7 -1 "Spouse has Spanish surname"
c: 8 -1 "Related HH head has Spanish surname"
I: TRIBE 0 3002 -1 3002 171 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx.......................xxxxx..xxxx.xxxxxxxxxxx
l: Tribe [general version]
s: Tribe [general version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable or blank"
c: 1001 -1 "Alaskan Indian"
c: 1002 -1 "Alaska Native"
c: 1003 -1 "Alaskan Athabaskan"
c: 1004 -1 "Aleut"
c: 1005 -1 "Eskimo"
c: 1006 -1 "Tlingit-Haida"
c: 1007 -1 "Tshimshian"
c: 1008 -1 "Alaska Native, other or unknown"
c: 2001 -1 "Abenaki"
c: 2002 -1 "Algonquian"
c: 2003 -1 "Apache"
c: 2004 -1 "Arapaho"
c: 2005 -1 "Arikara"
c: 2006 -1 "Assiniboine"
c: 2007 -1 "Bannock"
c: 2008 -1 "Blackfoot"
c: 2009 -1 "Brotherton"
c: 2010 -1 "Caddo"
c: 2011 -1 "Cahuilla"
c: 2012 -1 "California tribes"
c: 2013 -1 "Canadian Indian"
c: 2014 -1 "Catawba"
c: 2015 -1 "Cayuse"
c: 2016 -1 "Chehalis"
c: 2017 -1 "Chemakuan"
c: 2018 -1 "Chemehuevi"
c: 2019 -1 "Cherokee"
c: 2020 -1 "Cheyenne"
c: 2021 -1 "Chickasaw"
c: 2022 -1 "Chinook"
c: 2023 -1 "Chippewa"
c: 2024 -1 "Chitimacha"
c: 2025 -1 "Choctaw"
c: 2026 -1 "Chumash"
c: 2027 -1 "Coeur D''Alene"
c: 2028 -1 "Colville"
c: 2029 -1 "Comanche"
c: 2030 -1 "Coos"
c: 2031 -1 "Coquilles"
c: 2032 -1 "Coushatta"
c: 2033 -1 "Cowlitz"
c: 2034 -1 "Cree"
c: 2035 -1 "Creek"
c: 2036 -1 "Croatan"
c: 2037 -1 "Crow"
c: 2038 -1 "Delaware"
c: 2039 -1 "Diegueno"
c: 2040 -1 "Eastern tribes"
c: 2041 -1 "Grand Ronde"
c: 2042 -1 "Gros Ventres"
c: 2043 -1 "Hawaiian"
c: 2044 -1 "Hoopa"
c: 2046 -1 "Iowa"
c: 2047 -1 "Iroquois"
c: 2048 -1 "Kalispel"
c: 2049 -1 "Karok/Karuk"
c: 2050 -1 "Kaw"
c: 2051 -1 "Kickapoo"
c: 2052 -1 "Kiowa"
c: 2053 -1 "Klallam"
c: 2054 -1 "Klamath"
c: 2055 -1 "Konkow"
c: 2056 -1 "Kootenai"
c: 2057 -1 "Latin American"
c: 2058 -1 "Long Island - Matinecock"
c: 2059 -1 "Luiseno"
c: 2060 -1 "Lumbee"
c: 2061 -1 "Lummi"
c: 2062 -1 "Makah"
c: 2063 -1 "Mailseet/Maliseet"
c: 2064 -1 "Mandan"
c: 2065 -1 "Menominee"
c: 2066 -1 "Miami"
c: 2067 -1 "Micmac"
c: 2068 -1 "Mission Indians"
c: 2069 -1 "Miwok"
c: 2070 -1 "Modoc"
c: 2071 -1 "Mohegan"
c: 2072 -1 "Molala"
c: 2073 -1 "Mono"
c: 2074 -1 "Narragansett"
c: 2075 -1 "Navajo"
c: 2076 -1 "Nez Perce"
c: 2077 -1 "Nomalaki"
c: 2078 -1 "Northwest tribes"
c: 2079 -1 "Omaha"
c: 2080 -1 "Oregon Athabaskan"
c: 2081 -1 "Osage"
c: 2082 -1 "Otoe-Missouria"
c: 2083 -1 "Ottawa"
c: 2084 -1 "Paiute"
c: 2085 -1 "Passamaquoddy"
c: 2086 -1 "Pawnee"
c: 2087 -1 "Penobscot"
c: 2088 -1 "Peoria"
c: 2089 -1 "Pequot"
c: 2090 -1 "Pima"
c: 2091 -1 "Pit River"
c: 2092 -1 "Pomo"
c: 2093 -1 "Ponca"
c: 2094 -1 "Potawatomie"
c: 2095 -1 "Powhatan"
c: 2096 -1 "Pueblo"
c: 2097 -1 "Puget Sound Salish"
c: 2098 -1 "Quapaw"
c: 2099 -1 "Quinault"
c: 2100 -1 "Sac and Fox"
c: 2101 -1 "Salish"
c: 2102 -1 "Seminole"
c: 2103 -1 "Serrano"
c: 2104 -1 "Shasta"
c: 2105 -1 "Shawnee"
c: 2106 -1 "Shinnecock"
c: 2107 -1 "Shoshone"
c: 2108 -1 "Shoshone Paiute/Paiute Shoshone"
c: 2109 -1 "Siletz"
c: 2110 -1 "Sioux"
c: 2111 -1 "Spokane"
c: 2112 -1 "Stockbridge"
c: 2113 -1 "Tohono O''Odham"
c: 2114 -1 "Tolowa"
c: 2115 -1 "Tonkawa"
c: 2116 -1 "Umatilla"
c: 2117 -1 "Umpqua"
c: 2118 -1 "Ute"
c: 2119 -1 "Wailaki"
c: 2120 -1 "Walla-Walla"
c: 2121 -1 "Warm Springs"
c: 2122 -1 "Washo"
c: 2123 -1 "Wichita"
c: 2124 -1 "Winnebago"
c: 2125 -1 "Wintu/Wintun"
c: 2126 -1 "Yakima"
c: 2127 -1 "Yaqui"
c: 2128 -1 "Yokuts"
c: 2129 -1 "Yuchi"
c: 2130 -1 "Yuman"
c: 2131 -1 "Yurok"
c: 2132 -1 "American Indian, other or unknown"
c: 2133 -1 "American Indian, tribe not reported"
c: 2134 -1 "All other specified American Indian tribe combinations"
c: 3001 -1 "American Indian or Alaska Native, other or unknown"
c: 3002 -1 "American Indian or Alaska Native, tribe not reported"
I: TRIBED 0 300200 -1 300200 175 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx.......................xxxxx..xxxx.xxxxxxxxxxx
l: Tribe [detailed version]
s: Tribe [detailed version]
c: "......" -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable or blank"
c: 100100 -1 "Alaska Indian"
c: 100101 -1 "Alaska Indian"
c: 100200 -1 "Alaska Native"
c: 100300 -1 "Alaskan Athabaskan"
c: 100301 -1 "Alaskan Athabaskan - Tanaina"
c: 100400 -1 "Aleut"
c: 100500 -1 "Eskimo"
c: 100601 -1 "Haida"
c: 100602 -1 "Tlingit"
c: 100700 -1 "Tsimshian"
c: 100800 -1 "Alaska Native, other or unknown"
c: 100801 -1 "Alaska Native, tribe not reported"
c: 200100 -1 "Abenaki"
c: 200200 -1 "Algonquian"
c: 200300 -1 "Apache"
c: 200301 -1 "Apache - Jicarilla"
c: 200302 -1 "Apache - Lipan"
c: 200303 -1 "Apache - Mescalero"
c: 200304 -1 "Apache - Payson"
c: 200305 -1 "Apache - White Mountain"
c: 200400 -1 "Arapaho"
c: 200500 -1 "Arikara"
c: 200600 -1 "Assiniboine"
c: 200700 -1 "Bannock"
c: 200800 -1 "Blackfoot"
c: 200900 -1 "Brotherton"
c: 201000 -1 "Caddo"
c: 201100 -1 "Cahuilla"
c: 201101 -1 "Cahuilla - Soboba"
c: 201201 -1 "California tribe - Digger"
c: 201202 -1 "California tribe - Kern River"
c: 201203 -1 "California tribe - Mattole"
c: 201204 -1 "California tribe - Morongo"
c: 201205 -1 "California tribe - Red Wood"
c: 201206 -1 "California tribe - Yuki"
c: 201300 -1 "Canadian Indian"
c: 201301 -1 "Canadian Indian - Canadian Athabaskan"
c: 201302 -1 "Canadian Indian - Tribe not specified, Canadian Indian"
c: 201303 -1 "French American Indian"
c: 201304 -1 "Chippewa - French American Indian"
c: 201305 -1 "Tribe not specified, French American Indian"
c: 201400 -1 "Catawba"
c: 201500 -1 "Cayuse"
c: 201600 -1 "Chehalis"
c: 201701 -1 "Chemakuan - Hoh"
c: 201702 -1 "Chemakuan - Quileute"
c: 201800 -1 "Chemehuevi"
c: 201900 -1 "Cherokee"
c: 202000 -1 "Cheyenne"
c: 202100 -1 "Chickasaw"
c: 202200 -1 "Chinook"
c: 202201 -1 "Chinook - Clatsop"
c: 202202 -1 "Chinook - Upper Chinook"
c: 202203 -1 "Chinook - Wishram"
c: 202300 -1 "Chippewa"
c: 202400 -1 "Chitimacha"
c: 202500 -1 "Choctaw"
c: 202501 -1 "Mississippi Choctaw"
c: 202600 -1 "Chumash"
c: 202700 -1 "Coeur D''Alene"
c: 202800 -1 "Colville"
c: 202900 -1 "Comanche"
c: 203000 -1 "Coos"
c: 203100 -1 "Coquilles"
c: 203200 -1 "Coushatta"
c: 203201 -1 "Alabama Coushatta"
c: 203300 -1 "Cowlitz"
c: 203400 -1 "Cree"
c: 203500 -1 "Creek"
c: 203501 -1 "Creek - Hitchiti"
c: 203600 -1 "Croatan"
c: 203700 -1 "Crow"
c: 203800 -1 "Delaware"
c: 203801 -1 "Deleware - Munsee"
c: 203900 -1 "Diegueno"
c: 203901 -1 "Diegueno - Sycuan"
c: 204001 -1 "Eastern tribe - Georgetown"
c: 204002 -1 "Eastern tribe - Nansemond"
c: 204003 -1 "Eastern tribe - Tunica"
c: 204100 -1 "Grand Ronde"
c: 204200 -1 "Gros Ventres"
c: 204300 -1 "Hawaiian"
c: 204400 -1 "Hoopa"
c: 204401 -1 "Hoopa - Trinity"
c: 204500 -1 "Houma"
c: 204600 -1 "Iowa"
c: 204700 -1 "Iroquois"
c: 204701 -1 "Iroquois - Cayuga"
c: 204702 -1 "Iroquois - Mohawk"
c: 204703 -1 "Iroquois - Oneida"
c: 204704 -1 "Iroquois - Onondaga"
c: 204705 -1 "Iroquois - Seneca"
c: 204706 -1 "Iroquois - Tuscarora"
c: 204707 -1 "Iroquois - Wyandotte"
c: 204708 -1 "Iroquois - Amerind White"
c: 204800 -1 "Kalispel"
c: 204900 -1 "Karok/Karuk"
c: 205000 -1 "Kaw"
c: 205100 -1 "Kickapoo"
c: 205200 -1 "Kiowa"
c: 205301 -1 "Klallam"
c: 205302 -1 "Port Gamble Klallam"
c: 205400 -1 "Klamath"
c: 205500 -1 "Konkow"
c: 205600 -1 "Kootenai"
c: 205701 -1 "Central American Indian"
c: 205702 -1 "Tohono O''Odham - Central American Indian"
c: 205703 -1 "Mexican American Indian"
c: 205704 -1 "Tribe not specified, Mexican American Indian"
c: 205705 -1 "South American Indian"
c: 205706 -1 "Spanish American Indian"
c: 205800 -1 "Long Island - Matinecock"
c: 205900 -1 "Luiseno"
c: 205901 -1 "Luiseno - La Jolla"
c: 206000 -1 "Lumbee"
c: 206100 -1 "Lummi"
c: 206200 -1 "Makah"
c: 206300 -1 "Mailseet/Maliseet"
c: 206400 -1 "Mandan"
c: 206500 -1 "Menominee"
c: 206600 -1 "Miami"
c: 206700 -1 "Micmac"
c: 206800 -1 "Mission Indians"
c: 206900 -1 "Miwok"
c: 207000 -1 "Modoc"
c: 207100 -1 "Mohegan"
c: 207200 -1 "Molala"
c: 207300 -1 "Mono"
c: 207400 -1 "Narragansett"
c: 207500 -1 "Navajo"
c: 207600 -1 "Nez Perce"
c: 207700 -1 "Nomalaki"
c: 207801 -1 "Northweste tribe - Alsea"
c: 207802 -1 "Northweste tribe - Columbia"
c: 207803 -1 "Northweste tribe - Kalapuya"
c: 207804 -1 "Northweste tribe - Tenino"
c: 207805 -1 "Northweste tribe - Tillamook"
c: 207806 -1 "Northweste tribe - Wenatchee"
c: 207900 -1 "Omaha"
c: 208000 -1 "Oregon Athabaskan"
c: 208100 -1 "Osage"
c: 208200 -1 "Otoe-Missouria"
c: 208300 -1 "Ottawa"
c: 208400 -1 "Paiute"
c: 208401 -1 "Paiute - Kaibab"
c: 208500 -1 "Passamaquoddy"
c: 208600 -1 "Pawnee"
c: 208700 -1 "Penobscot"
c: 208800 -1 "Peoria"
c: 208900 -1 "Pequot"
c: 209000 -1 "Pima"
c: 209100 -1 "Pit River"
c: 209200 -1 "Pomo"
c: 209201 -1 "Pomo - Scotts Valley"
c: 209300 -1 "Ponca"
c: 209400 -1 "Potawatomie"
c: 209500 -1 "Powhatan"
c: 209600 -1 "Pueblo"
c: 209601 -1 "Pueblo - Acoma"
c: 209602 -1 "Pueblo - Arizona Tewa"
c: 209603 -1 "Pueblo - Cochiti"
c: 209604 -1 "Pueblo - Hopi"
c: 209605 -1 "Pueblo - Jemez"
c: 209606 -1 "Pueblo - Keres"
c: 209607 -1 "Pueblo - Laguna"
c: 209608 -1 "Pueblo - Taos"
c: 209609 -1 "Pueblo - Tewa"
c: 209610 -1 "Pueblo - Tigua"
c: 209611 -1 "Pueblo - Zuni"
c: 209700 -1 "Puget Sound Salish"
c: 209701 -1 "Puget Sound Salish - Duwamish"
c: 209702 -1 "Puget Sound Salish - Kikiallus"
c: 209703 -1 "Puget Sound Salish - Muckleshoot"
c: 209704 -1 "Puget Sound Salish - Nisqually"
c: 209705 -1 "Puget Sound Salish - Nooksack"
c: 209706 -1 "Puget Sound Salish - Port Madison"
c: 209707 -1 "Puget Sound Salish - Puyallup"
c: 209708 -1 "Puget Sound Salish - Samish"
c: 209709 -1 "Puget Sound Salish - Sauk-Suiattle"
c: 209710 -1 "Puget Sound Salish - Skokomish"
c: 209711 -1 "Puget Sound Salish - Skykomish"
c: 209712 -1 "Puget Sound Salish - Snohomish"
c: 209713 -1 "Puget Sound Salish - Snoqualmie"
c: 209714 -1 "Puget Sound Salish - Steilacoom"
c: 209715 -1 "Puget Sound Salish - Suquamish"
c: 209716 -1 "Puget Sound Salish - Swinomish"
c: 209717 -1 "Puget Sound Salish - Tulalip"
c: 209718 -1 "Puget Sound Salish - Upper Skagit"
c: 209800 -1 "Quapaw"
c: 209900 -1 "Quinault"
c: 210000 -1 "Sac and Fox"
c: 210100 -1 "Salish"
c: 210200 -1 "Seminole"
c: 210300 -1 "Serrano"
c: 210400 -1 "Shasta"
c: 210500 -1 "Shawnee"
c: 210600 -1 "Shinnecock"
c: 210700 -1 "Shoshone"
c: 210701 -1 "Shoshone - Goshute"
c: 210702 -1 "Shoshone - South Fork"
c: 210800 -1 "Shoshone Paiute/Paiute Shoshone"
c: 210900 -1 "Siletz"
c: 211000 -1 "Sioux"
c: 211001 -1 "Sioux - Brule"
c: 211002 -1 "Sioux - Lower Brule"
c: 211003 -1 "Sioux - Mdewakanton"
c: 211004 -1 "Sioux - Miniconjou"
c: 211005 -1 "Sioux - Oglala"
c: 211006 -1 "Sioux - Rosebud"
c: 211007 -1 "Sioux - Sans Arc"
c: 211008 -1 "Sioux - Santee"
c: 211009 -1 "Sioux - Sisseton"
c: 211010 -1 "Sioux - Sisseton-Wahpeton"
c: 211011 -1 "Sioux - Teton"
c: 211012 -1 "Sioux - Two Kettle"
c: 211013 -1 "Sioux - Wahpekute"
c: 211014 -1 "Sioux - Wahpeton"
c: 211015 -1 "Sioux - Wazhaza"
c: 211016 -1 "Sioux - Yankton"
c: 211017 -1 "Sioux - Yanktonai"
c: 211018 -1 "Sioux - Amerind White"
c: 211100 -1 "Spokane"
c: 211200 -1 "Stockbridge"
c: 211300 -1 "Tohono O''Odham"
c: 211400 -1 "Tolowa"
c: 211500 -1 "Tonkawa"
c: 211600 -1 "Umatilla"
c: 211700 -1 "Umpqua"
c: 211800 -1 "Ute"
c: 211801 -1 "Uintah Ute"
c: 211900 -1 "Wailaki"
c: 212000 -1 "Walla-Walla"
c: 212100 -1 "Warm Springs"
c: 212200 -1 "Washo"
c: 212300 -1 "Wichita"
c: 212400 -1 "Winnebago"
c: 212500 -1 "Wintu/Wintun"
c: 212600 -1 "Yakima"
c: 212700 -1 "Yaqui"
c: 212801 -1 "Chukchansi"
c: 212802 -1 "Tule River"
c: 212900 -1 "Yuchi"
c: 213001 -1 "Yuman - Cocopah"
c: 213002 -1 "Yuman - Havasupai"
c: 213003 -1 "Yuman - Hualapai"
c: 213004 -1 "Yuman - Maricopa"
c: 213005 -1 "Yuman - Mohave"
c: 213006 -1 "Yuman - Quechan"
c: 213100 -1 "Yurok"
c: 213200 -1 "American Indian, other or unknown"
c: 213300 -1 "American Indian, tribe not reported"
c: 213400 -1 "All other specified American Indian tribe combinations"
c: 300100 -1 "American Indian or Alaska Native, other or unknown"
c: 300200 -1 "American Indian or Alaska Native, tribe not reported"
I: FTRIBE 0 3002 -1 3002 181 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Father''s tribe [general version]
s: Father''s tribe [general version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable or blank"
c: 1001 -1 "Alaskan Indian"
c: 1002 -1 "Alaska Native"
c: 1003 -1 "Alaskan Athabaskan"
c: 1004 -1 "Aleut"
c: 1005 -1 "Eskimo"
c: 1006 -1 "Tlingit-Haida"
c: 1007 -1 "Tshimshian"
c: 1008 -1 "Alaska Native, other or unknown"
c: 2001 -1 "Abenaki"
c: 2002 -1 "Algonquian"
c: 2003 -1 "Apache"
c: 2004 -1 "Arapaho"
c: 2005 -1 "Arikara"
c: 2006 -1 "Assiniboine"
c: 2007 -1 "Bannock"
c: 2008 -1 "Blackfoot"
c: 2009 -1 "Brotherton"
c: 2010 -1 "Caddo"
c: 2011 -1 "Cahuilla"
c: 2012 -1 "California tribes"
c: 2013 -1 "Canadian Indian"
c: 2014 -1 "Catawba"
c: 2015 -1 "Cayuse"
c: 2016 -1 "Chehalis"
c: 2017 -1 "Chemakuan"
c: 2018 -1 "Chemehuevi"
c: 2019 -1 "Cherokee"
c: 2020 -1 "Cheyenne"
c: 2021 -1 "Chickasaw"
c: 2022 -1 "Chinook"
c: 2023 -1 "Chippewa"
c: 2024 -1 "Chitimacha"
c: 2025 -1 "Choctaw"
c: 2026 -1 "Chumash"
c: 2027 -1 "Coeur D''Alene"
c: 2028 -1 "Colville"
c: 2029 -1 "Comanche"
c: 2030 -1 "Coos"
c: 2031 -1 "Coquilles"
c: 2032 -1 "Coushatta"
c: 2033 -1 "Cowlitz"
c: 2034 -1 "Cree"
c: 2035 -1 "Creek"
c: 2036 -1 "Croatan"
c: 2037 -1 "Crow"
c: 2038 -1 "Delaware"
c: 2039 -1 "Diegueno"
c: 2040 -1 "Eastern tribes"
c: 2041 -1 "Grand Ronde"
c: 2042 -1 "Gros Ventres"
c: 2043 -1 "Hawaiian"
c: 2044 -1 "Hoopa"
c: 2046 -1 "Iowa"
c: 2047 -1 "Iroquois"
c: 2048 -1 "Kalispel"
c: 2049 -1 "Karok/Karuk"
c: 2050 -1 "Kaw"
c: 2051 -1 "Kickapoo"
c: 2052 -1 "Kiowa"
c: 2053 -1 "Klallam"
c: 2054 -1 "Klamath"
c: 2055 -1 "Konkow"
c: 2056 -1 "Kootenai"
c: 2057 -1 "Latin American"
c: 2058 -1 "Long Island - Matinecock"
c: 2059 -1 "Luiseno"
c: 2060 -1 "Lumbee"
c: 2061 -1 "Lummi"
c: 2062 -1 "Makah"
c: 2063 -1 "Mailseet/Maliseet"
c: 2064 -1 "Mandan"
c: 2065 -1 "Menominee"
c: 2066 -1 "Miami"
c: 2067 -1 "Micmac"
c: 2068 -1 "Mission Indians"
c: 2069 -1 "Miwok"
c: 2070 -1 "Modoc"
c: 2071 -1 "Mohegan"
c: 2072 -1 "Molala"
c: 2073 -1 "Mono"
c: 2074 -1 "Narragansett"
c: 2075 -1 "Navajo"
c: 2076 -1 "Nez Perce"
c: 2077 -1 "Nomalaki"
c: 2078 -1 "Northwest tribes"
c: 2079 -1 "Omaha"
c: 2080 -1 "Oregon Athabaskan"
c: 2081 -1 "Osage"
c: 2082 -1 "Otoe-Missouria"
c: 2083 -1 "Ottawa"
c: 2084 -1 "Paiute"
c: 2085 -1 "Passamaquoddy"
c: 2086 -1 "Pawnee"
c: 2087 -1 "Penobscot"
c: 2088 -1 "Peoria"
c: 2089 -1 "Pequot"
c: 2090 -1 "Pima"
c: 2091 -1 "Pit River"
c: 2092 -1 "Pomo"
c: 2093 -1 "Ponca"
c: 2094 -1 "Potawatomie"
c: 2095 -1 "Powhatan"
c: 2096 -1 "Pueblo"
c: 2097 -1 "Puget Sound Salish"
c: 2098 -1 "Quapaw"
c: 2099 -1 "Quinault"
c: 2100 -1 "Sac and Fox"
c: 2101 -1 "Salish"
c: 2102 -1 "Seminole"
c: 2103 -1 "Serrano"
c: 2104 -1 "Shasta"
c: 2105 -1 "Shawnee"
c: 2106 -1 "Shinnecock"
c: 2107 -1 "Shoshone"
c: 2108 -1 "Shoshone Paiute/Paiute Shoshone"
c: 2109 -1 "Siletz"
c: 2110 -1 "Sioux"
c: 2111 -1 "Spokane"
c: 2112 -1 "Stockbridge"
c: 2113 -1 "Tohono O''Odham"
c: 2114 -1 "Tolowa"
c: 2115 -1 "Tonkawa"
c: 2116 -1 "Umatilla"
c: 2117 -1 "Umpqua"
c: 2118 -1 "Ute"
c: 2119 -1 "Wailaki"
c: 2120 -1 "Walla-Walla"
c: 2121 -1 "Warm Springs"
c: 2122 -1 "Washo"
c: 2123 -1 "Wichita"
c: 2124 -1 "Winnebago"
c: 2125 -1 "Wintu/Wintun"
c: 2126 -1 "Yakima"
c: 2127 -1 "Yaqui"
c: 2128 -1 "Yokuts"
c: 2129 -1 "Yuchi"
c: 2130 -1 "Yuman"
c: 2131 -1 "Yurok"
c: 2132 -1 "American Indian, other or unknown"
c: 2133 -1 "American Indian, tribe not reported"
c: 2134 -1 "All other specified American Indian tribe combinations"
c: 3001 -1 "American Indian or Alaska Native, other or unknown"
c: 3002 -1 "American Indian or Alaska Native, tribe not reported"
I: FTRIBED 0 300200 -1 300200 185 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Father''s tribe [detailed version]
s: Father''s tribe [detailed version]
c: "......" -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable or blank"
c: 100100 -1 "Alaska Indian"
c: 100101 -1 "Alaska Indian"
c: 100200 -1 "Alaska Native"
c: 100300 -1 "Alaskan Athabaskan"
c: 100301 -1 "Alaskan Athabaskan - Tanaina"
c: 100400 -1 "Aleut"
c: 100500 -1 "Eskimo"
c: 100601 -1 "Haida"
c: 100602 -1 "Tlingit"
c: 100700 -1 "Tsimshian"
c: 100800 -1 "Alaska Native, other or unknown"
c: 100801 -1 "Alaska Native, tribe not reported"
c: 200100 -1 "Abenaki"
c: 200200 -1 "Algonquian"
c: 200300 -1 "Apache"
c: 200301 -1 "Apache - Jicarilla"
c: 200302 -1 "Apache - Lipan"
c: 200303 -1 "Apache - Mescalero"
c: 200304 -1 "Apache - Payson"
c: 200305 -1 "Apache - White Mountain"
c: 200400 -1 "Arapaho"
c: 200500 -1 "Arikara"
c: 200600 -1 "Assiniboine"
c: 200700 -1 "Bannock"
c: 200800 -1 "Blackfoot"
c: 200900 -1 "Brotherton"
c: 201000 -1 "Caddo"
c: 201100 -1 "Cahuilla"
c: 201101 -1 "Cahuilla - Soboba"
c: 201201 -1 "California tribe - Digger"
c: 201202 -1 "California tribe - Kern River"
c: 201203 -1 "California tribe - Mattole"
c: 201204 -1 "California tribe - Morongo"
c: 201205 -1 "California tribe - Red Wood"
c: 201206 -1 "California tribe - Yuki"
c: 201300 -1 "Canadian Indian"
c: 201301 -1 "Canadian Indian - Canadian Athabaskan"
c: 201302 -1 "Canadian Indian - Tribe not specified, Canadian Indian"
c: 201303 -1 "French American Indian"
c: 201304 -1 "Chippewa - French American Indian"
c: 201305 -1 "Tribe not specified, French American Indian"
c: 201400 -1 "Catawba"
c: 201500 -1 "Cayuse"
c: 201600 -1 "Chehalis"
c: 201701 -1 "Chemakuan - Hoh"
c: 201702 -1 "Chemakuan - Quileute"
c: 201800 -1 "Chemehuevi"
c: 201900 -1 "Cherokee"
c: 202000 -1 "Cheyenne"
c: 202100 -1 "Chickasaw"
c: 202200 -1 "Chinook"
c: 202201 -1 "Chinook - Clatsop"
c: 202202 -1 "Chinook - Upper Chinook"
c: 202203 -1 "Chinook - Wishram"
c: 202300 -1 "Chippewa"
c: 202400 -1 "Chitimacha"
c: 202500 -1 "Choctaw"
c: 202501 -1 "Mississippi Choctaw"
c: 202600 -1 "Chumash"
c: 202700 -1 "Coeur D''Alene"
c: 202800 -1 "Colville"
c: 202900 -1 "Comanche"
c: 203000 -1 "Coos"
c: 203100 -1 "Coquilles"
c: 203200 -1 "Coushatta"
c: 203201 -1 "Alabama Coushatta"
c: 203300 -1 "Cowlitz"
c: 203400 -1 "Cree"
c: 203500 -1 "Creek"
c: 203501 -1 "Creek - Hitchiti"
c: 203600 -1 "Croatan"
c: 203700 -1 "Crow"
c: 203800 -1 "Delaware"
c: 203801 -1 "Deleware - Munsee"
c: 203900 -1 "Diegueno"
c: 203901 -1 "Diegueno - Sycuan"
c: 204001 -1 "Eastern tribe - Georgetown"
c: 204002 -1 "Eastern tribe - Nansemond"
c: 204003 -1 "Eastern tribe - Tunica"
c: 204100 -1 "Grand Ronde"
c: 204200 -1 "Gros Ventres"
c: 204300 -1 "Hawaiian"
c: 204400 -1 "Hoopa"
c: 204401 -1 "Hoopa - Trinity"
c: 204500 -1 "Houma"
c: 204600 -1 "Iowa"
c: 204700 -1 "Iroquois"
c: 204701 -1 "Iroquois - Cayuga"
c: 204702 -1 "Iroquois - Mohawk"
c: 204703 -1 "Iroquois - Oneida"
c: 204704 -1 "Iroquois - Onondaga"
c: 204705 -1 "Iroquois - Seneca"
c: 204706 -1 "Iroquois - Tuscarora"
c: 204707 -1 "Iroquois - Wyandotte"
c: 204708 -1 "Iroquois - Amerind White"
c: 204800 -1 "Kalispel"
c: 204900 -1 "Karok/Karuk"
c: 205000 -1 "Kaw"
c: 205100 -1 "Kickapoo"
c: 205200 -1 "Kiowa"
c: 205301 -1 "Klallam"
c: 205302 -1 "Port Gamble Klallam"
c: 205400 -1 "Klamath"
c: 205500 -1 "Konkow"
c: 205600 -1 "Kootenai"
c: 205701 -1 "Central American Indian"
c: 205702 -1 "Tohono O''Odham - Central American Indian"
c: 205703 -1 "Mexican American Indian"
c: 205704 -1 "Tribe not specified, Mexican American Indian"
c: 205705 -1 "South American Indian"
c: 205706 -1 "Spanish American Indian"
c: 205800 -1 "Long Island - Matinecock"
c: 205900 -1 "Luiseno"
c: 205901 -1 "Luiseno - La Jolla"
c: 206000 -1 "Lumbee"
c: 206100 -1 "Lummi"
c: 206200 -1 "Makah"
c: 206300 -1 "Mailseet/Maliseet"
c: 206400 -1 "Mandan"
c: 206500 -1 "Menominee"
c: 206600 -1 "Miami"
c: 206700 -1 "Micmac"
c: 206800 -1 "Mission Indians"
c: 206900 -1 "Miwok"
c: 207000 -1 "Modoc"
c: 207100 -1 "Mohegan"
c: 207200 -1 "Molala"
c: 207300 -1 "Mono"
c: 207400 -1 "Narragansett"
c: 207500 -1 "Navajo"
c: 207600 -1 "Nez Perce"
c: 207700 -1 "Nomalaki"
c: 207801 -1 "Northweste tribe - Alsea"
c: 207802 -1 "Northweste tribe - Columbia"
c: 207803 -1 "Northweste tribe - Kalapuya"
c: 207804 -1 "Northweste tribe - Tenino"
c: 207805 -1 "Northweste tribe - Tillamook"
c: 207806 -1 "Northweste tribe - Wenatchee"
c: 207900 -1 "Omaha"
c: 208000 -1 "Oregon Athabaskan"
c: 208100 -1 "Osage"
c: 208200 -1 "Otoe-Missouria"
c: 208300 -1 "Ottawa"
c: 208400 -1 "Paiute"
c: 208401 -1 "Paiute - Kaibab"
c: 208500 -1 "Passamaquoddy"
c: 208600 -1 "Pawnee"
c: 208700 -1 "Penobscot"
c: 208800 -1 "Peoria"
c: 208900 -1 "Pequot"
c: 209000 -1 "Pima"
c: 209100 -1 "Pit River"
c: 209200 -1 "Pomo"
c: 209201 -1 "Pomo - Scotts Valley"
c: 209300 -1 "Ponca"
c: 209400 -1 "Potawatomie"
c: 209500 -1 "Powhatan"
c: 209600 -1 "Pueblo"
c: 209601 -1 "Pueblo - Acoma"
c: 209602 -1 "Pueblo - Arizona Tewa"
c: 209603 -1 "Pueblo - Cochiti"
c: 209604 -1 "Pueblo - Hopi"
c: 209605 -1 "Pueblo - Jemez"
c: 209606 -1 "Pueblo - Keres"
c: 209607 -1 "Pueblo - Laguna"
c: 209608 -1 "Pueblo - Taos"
c: 209609 -1 "Pueblo - Tewa"
c: 209610 -1 "Pueblo - Tigua"
c: 209611 -1 "Pueblo - Zuni"
c: 209700 -1 "Puget Sound Salish"
c: 209701 -1 "Puget Sound Salish - Duwamish"
c: 209702 -1 "Puget Sound Salish - Kikiallus"
c: 209703 -1 "Puget Sound Salish - Muckleshoot"
c: 209704 -1 "Puget Sound Salish - Nisqually"
c: 209705 -1 "Puget Sound Salish - Nooksack"
c: 209706 -1 "Puget Sound Salish - Port Madison"
c: 209707 -1 "Puget Sound Salish - Puyallup"
c: 209708 -1 "Puget Sound Salish - Samish"
c: 209709 -1 "Puget Sound Salish - Sauk-Suiattle"
c: 209710 -1 "Puget Sound Salish - Skokomish"
c: 209711 -1 "Puget Sound Salish - Skykomish"
c: 209712 -1 "Puget Sound Salish - Snohomish"
c: 209713 -1 "Puget Sound Salish - Snoqualmie"
c: 209714 -1 "Puget Sound Salish - Steilacoom"
c: 209715 -1 "Puget Sound Salish - Suquamish"
c: 209716 -1 "Puget Sound Salish - Swinomish"
c: 209717 -1 "Puget Sound Salish - Tulalip"
c: 209718 -1 "Puget Sound Salish - Upper Skagit"
c: 209800 -1 "Quapaw"
c: 209900 -1 "Quinault"
c: 210000 -1 "Sac and Fox"
c: 210100 -1 "Salish"
c: 210200 -1 "Seminole"
c: 210300 -1 "Serrano"
c: 210400 -1 "Shasta"
c: 210500 -1 "Shawnee"
c: 210600 -1 "Shinnecock"
c: 210700 -1 "Shoshone"
c: 210701 -1 "Shoshone - Goshute"
c: 210702 -1 "Shoshone - South Fork"
c: 210800 -1 "Shoshone Paiute/Paiute Shoshone"
c: 210900 -1 "Siletz"
c: 211000 -1 "Sioux"
c: 211001 -1 "Sioux - Brule"
c: 211002 -1 "Sioux - Lower Brule"
c: 211003 -1 "Sioux - Mdewakanton"
c: 211004 -1 "Sioux - Miniconjou"
c: 211005 -1 "Sioux - Oglala"
c: 211006 -1 "Sioux - Rosebud"
c: 211007 -1 "Sioux - Sans Arc"
c: 211008 -1 "Sioux - Santee"
c: 211009 -1 "Sioux - Sisseton"
c: 211010 -1 "Sioux - Sisseton-Wahpeton"
c: 211011 -1 "Sioux - Teton"
c: 211012 -1 "Sioux - Two Kettle"
c: 211013 -1 "Sioux - Wahpekute"
c: 211014 -1 "Sioux - Wahpeton"
c: 211015 -1 "Sioux - Wazhaza"
c: 211016 -1 "Sioux - Yankton"
c: 211017 -1 "Sioux - Yanktonai"
c: 211018 -1 "Sioux - Amerind White"
c: 211100 -1 "Spokane"
c: 211200 -1 "Stockbridge"
c: 211300 -1 "Tohono O''Odham"
c: 211400 -1 "Tolowa"
c: 211500 -1 "Tonkawa"
c: 211600 -1 "Umatilla"
c: 211700 -1 "Umpqua"
c: 211800 -1 "Ute"
c: 211801 -1 "Uintah Ute"
c: 211900 -1 "Wailaki"
c: 212000 -1 "Walla-Walla"
c: 212100 -1 "Warm Springs"
c: 212200 -1 "Washo"
c: 212300 -1 "Wichita"
c: 212400 -1 "Winnebago"
c: 212500 -1 "Wintu/Wintun"
c: 212600 -1 "Yakima"
c: 212700 -1 "Yaqui"
c: 212801 -1 "Chukchansi"
c: 212802 -1 "Tule River"
c: 212900 -1 "Yuchi"
c: 213001 -1 "Yuman - Cocopah"
c: 213002 -1 "Yuman - Havasupai"
c: 213003 -1 "Yuman - Hualapai"
c: 213004 -1 "Yuman - Maricopa"
c: 213005 -1 "Yuman - Mohave"
c: 213006 -1 "Yuman - Quechan"
c: 213100 -1 "Yurok"
c: 213200 -1 "American Indian, other or unknown"
c: 213300 -1 "American Indian, tribe not reported"
c: 213400 -1 "All other specified American Indian tribe combinations"
c: 300100 -1 "American Indian or Alaska Native, other or unknown"
c: 300200 -1 "American Indian or Alaska Native, tribe not reported"
I: MTRIBE 0 3002 -1 3002 191 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Mother''s tribe [general version]
s: Mother''s tribe [general version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable or blank"
c: 1001 -1 "Alaskan Indian"
c: 1002 -1 "Alaska Native"
c: 1003 -1 "Alaskan Athabaskan"
c: 1004 -1 "Aleut"
c: 1005 -1 "Eskimo"
c: 1006 -1 "Tlingit-Haida"
c: 1007 -1 "Tshimshian"
c: 1008 -1 "Alaska Native, other or unknown"
c: 2001 -1 "Abenaki"
c: 2002 -1 "Algonquian"
c: 2003 -1 "Apache"
c: 2004 -1 "Arapaho"
c: 2005 -1 "Arikara"
c: 2006 -1 "Assiniboine"
c: 2007 -1 "Bannock"
c: 2008 -1 "Blackfoot"
c: 2009 -1 "Brotherton"
c: 2010 -1 "Caddo"
c: 2011 -1 "Cahuilla"
c: 2012 -1 "California tribes"
c: 2013 -1 "Canadian Indian"
c: 2014 -1 "Catawba"
c: 2015 -1 "Cayuse"
c: 2016 -1 "Chehalis"
c: 2017 -1 "Chemakuan"
c: 2018 -1 "Chemehuevi"
c: 2019 -1 "Cherokee"
c: 2020 -1 "Cheyenne"
c: 2021 -1 "Chickasaw"
c: 2022 -1 "Chinook"
c: 2023 -1 "Chippewa"
c: 2024 -1 "Chitimacha"
c: 2025 -1 "Choctaw"
c: 2026 -1 "Chumash"
c: 2027 -1 "Coeur D''Alene"
c: 2028 -1 "Colville"
c: 2029 -1 "Comanche"
c: 2030 -1 "Coos"
c: 2031 -1 "Coquilles"
c: 2032 -1 "Coushatta"
c: 2033 -1 "Cowlitz"
c: 2034 -1 "Cree"
c: 2035 -1 "Creek"
c: 2036 -1 "Croatan"
c: 2037 -1 "Crow"
c: 2038 -1 "Delaware"
c: 2039 -1 "Diegueno"
c: 2040 -1 "Eastern tribes"
c: 2041 -1 "Grand Ronde"
c: 2042 -1 "Gros Ventres"
c: 2043 -1 "Hawaiian"
c: 2044 -1 "Hoopa"
c: 2046 -1 "Iowa"
c: 2047 -1 "Iroquois"
c: 2048 -1 "Kalispel"
c: 2049 -1 "Karok/Karuk"
c: 2050 -1 "Kaw"
c: 2051 -1 "Kickapoo"
c: 2052 -1 "Kiowa"
c: 2053 -1 "Klallam"
c: 2054 -1 "Klamath"
c: 2055 -1 "Konkow"
c: 2056 -1 "Kootenai"
c: 2057 -1 "Latin American"
c: 2058 -1 "Long Island - Matinecock"
c: 2059 -1 "Luiseno"
c: 2060 -1 "Lumbee"
c: 2061 -1 "Lummi"
c: 2062 -1 "Makah"
c: 2063 -1 "Mailseet/Maliseet"
c: 2064 -1 "Mandan"
c: 2065 -1 "Menominee"
c: 2066 -1 "Miami"
c: 2067 -1 "Micmac"
c: 2068 -1 "Mission Indians"
c: 2069 -1 "Miwok"
c: 2070 -1 "Modoc"
c: 2071 -1 "Mohegan"
c: 2072 -1 "Molala"
c: 2073 -1 "Mono"
c: 2074 -1 "Narragansett"
c: 2075 -1 "Navajo"
c: 2076 -1 "Nez Perce"
c: 2077 -1 "Nomalaki"
c: 2078 -1 "Northwest tribes"
c: 2079 -1 "Omaha"
c: 2080 -1 "Oregon Athabaskan"
c: 2081 -1 "Osage"
c: 2082 -1 "Otoe-Missouria"
c: 2083 -1 "Ottawa"
c: 2084 -1 "Paiute"
c: 2085 -1 "Passamaquoddy"
c: 2086 -1 "Pawnee"
c: 2087 -1 "Penobscot"
c: 2088 -1 "Peoria"
c: 2089 -1 "Pequot"
c: 2090 -1 "Pima"
c: 2091 -1 "Pit River"
c: 2092 -1 "Pomo"
c: 2093 -1 "Ponca"
c: 2094 -1 "Potawatomie"
c: 2095 -1 "Powhatan"
c: 2096 -1 "Pueblo"
c: 2097 -1 "Puget Sound Salish"
c: 2098 -1 "Quapaw"
c: 2099 -1 "Quinault"
c: 2100 -1 "Sac and Fox"
c: 2101 -1 "Salish"
c: 2102 -1 "Seminole"
c: 2103 -1 "Serrano"
c: 2104 -1 "Shasta"
c: 2105 -1 "Shawnee"
c: 2106 -1 "Shinnecock"
c: 2107 -1 "Shoshone"
c: 2108 -1 "Shoshone Paiute/Paiute Shoshone"
c: 2109 -1 "Siletz"
c: 2110 -1 "Sioux"
c: 2111 -1 "Spokane"
c: 2112 -1 "Stockbridge"
c: 2113 -1 "Tohono O''Odham"
c: 2114 -1 "Tolowa"
c: 2115 -1 "Tonkawa"
c: 2116 -1 "Umatilla"
c: 2117 -1 "Umpqua"
c: 2118 -1 "Ute"
c: 2119 -1 "Wailaki"
c: 2120 -1 "Walla-Walla"
c: 2121 -1 "Warm Springs"
c: 2122 -1 "Washo"
c: 2123 -1 "Wichita"
c: 2124 -1 "Winnebago"
c: 2125 -1 "Wintu/Wintun"
c: 2126 -1 "Yakima"
c: 2127 -1 "Yaqui"
c: 2128 -1 "Yokuts"
c: 2129 -1 "Yuchi"
c: 2130 -1 "Yuman"
c: 2131 -1 "Yurok"
c: 2132 -1 "American Indian, other or unknown"
c: 2133 -1 "American Indian, tribe not reported"
c: 2134 -1 "All other specified American Indian tribe combinations"
c: 3001 -1 "American Indian or Alaska Native, other or unknown"
c: 3002 -1 "American Indian or Alaska Native, tribe not reported"
I: MTRIBED 0 300200 -1 300200 195 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Mother''s tribe [detailed version]
s: Mother''s tribe [detailed version]
c: "......" -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable or blank"
c: 100100 -1 "Alaska Indian"
c: 100101 -1 "Alaska Indian"
c: 100200 -1 "Alaska Native"
c: 100300 -1 "Alaskan Athabaskan"
c: 100301 -1 "Alaskan Athabaskan - Tanaina"
c: 100400 -1 "Aleut"
c: 100500 -1 "Eskimo"
c: 100601 -1 "Haida"
c: 100602 -1 "Tlingit"
c: 100700 -1 "Tsimshian"
c: 100800 -1 "Alaska Native, other or unknown"
c: 100801 -1 "Alaska Native, tribe not reported"
c: 200100 -1 "Abenaki"
c: 200200 -1 "Algonquian"
c: 200300 -1 "Apache"
c: 200301 -1 "Apache - Jicarilla"
c: 200302 -1 "Apache - Lipan"
c: 200303 -1 "Apache - Mescalero"
c: 200304 -1 "Apache - Payson"
c: 200305 -1 "Apache - White Mountain"
c: 200400 -1 "Arapaho"
c: 200500 -1 "Arikara"
c: 200600 -1 "Assiniboine"
c: 200700 -1 "Bannock"
c: 200800 -1 "Blackfoot"
c: 200900 -1 "Brotherton"
c: 201000 -1 "Caddo"
c: 201100 -1 "Cahuilla"
c: 201101 -1 "Cahuilla - Soboba"
c: 201201 -1 "California tribe - Digger"
c: 201202 -1 "California tribe - Kern River"
c: 201203 -1 "California tribe - Mattole"
c: 201204 -1 "California tribe - Morongo"
c: 201205 -1 "California tribe - Red Wood"
c: 201206 -1 "California tribe - Yuki"
c: 201300 -1 "Canadian Indian"
c: 201301 -1 "Canadian Indian - Canadian Athabaskan"
c: 201302 -1 "Canadian Indian - Tribe not specified, Canadian Indian"
c: 201303 -1 "French American Indian"
c: 201304 -1 "Chippewa - French American Indian"
c: 201305 -1 "Tribe not specified, French American Indian"
c: 201400 -1 "Catawba"
c: 201500 -1 "Cayuse"
c: 201600 -1 "Chehalis"
c: 201701 -1 "Chemakuan - Hoh"
c: 201702 -1 "Chemakuan - Quileute"
c: 201800 -1 "Chemehuevi"
c: 201900 -1 "Cherokee"
c: 202000 -1 "Cheyenne"
c: 202100 -1 "Chickasaw"
c: 202200 -1 "Chinook"
c: 202201 -1 "Chinook - Clatsop"
c: 202202 -1 "Chinook - Upper Chinook"
c: 202203 -1 "Chinook - Wishram"
c: 202300 -1 "Chippewa"
c: 202400 -1 "Chitimacha"
c: 202500 -1 "Choctaw"
c: 202501 -1 "Mississippi Choctaw"
c: 202600 -1 "Chumash"
c: 202700 -1 "Coeur D''Alene"
c: 202800 -1 "Colville"
c: 202900 -1 "Comanche"
c: 203000 -1 "Coos"
c: 203100 -1 "Coquilles"
c: 203200 -1 "Coushatta"
c: 203201 -1 "Alabama Coushatta"
c: 203300 -1 "Cowlitz"
c: 203400 -1 "Cree"
c: 203500 -1 "Creek"
c: 203501 -1 "Creek - Hitchiti"
c: 203600 -1 "Croatan"
c: 203700 -1 "Crow"
c: 203800 -1 "Delaware"
c: 203801 -1 "Deleware - Munsee"
c: 203900 -1 "Diegueno"
c: 203901 -1 "Diegueno - Sycuan"
c: 204001 -1 "Eastern tribe - Georgetown"
c: 204002 -1 "Eastern tribe - Nansemond"
c: 204003 -1 "Eastern tribe - Tunica"
c: 204100 -1 "Grand Ronde"
c: 204200 -1 "Gros Ventres"
c: 204300 -1 "Hawaiian"
c: 204400 -1 "Hoopa"
c: 204401 -1 "Hoopa - Trinity"
c: 204500 -1 "Houma"
c: 204600 -1 "Iowa"
c: 204700 -1 "Iroquois"
c: 204701 -1 "Iroquois - Cayuga"
c: 204702 -1 "Iroquois - Mohawk"
c: 204703 -1 "Iroquois - Oneida"
c: 204704 -1 "Iroquois - Onondaga"
c: 204705 -1 "Iroquois - Seneca"
c: 204706 -1 "Iroquois - Tuscarora"
c: 204707 -1 "Iroquois - Wyandotte"
c: 204708 -1 "Iroquois - Amerind White"
c: 204800 -1 "Kalispel"
c: 204900 -1 "Karok/Karuk"
c: 205000 -1 "Kaw"
c: 205100 -1 "Kickapoo"
c: 205200 -1 "Kiowa"
c: 205301 -1 "Klallam"
c: 205302 -1 "Port Gamble Klallam"
c: 205400 -1 "Klamath"
c: 205500 -1 "Konkow"
c: 205600 -1 "Kootenai"
c: 205701 -1 "Central American Indian"
c: 205702 -1 "Tohono O''Odham - Central American Indian"
c: 205703 -1 "Mexican American Indian"
c: 205704 -1 "Tribe not specified, Mexican American Indian"
c: 205705 -1 "South American Indian"
c: 205706 -1 "Spanish American Indian"
c: 205800 -1 "Long Island - Matinecock"
c: 205900 -1 "Luiseno"
c: 205901 -1 "Luiseno - La Jolla"
c: 206000 -1 "Lumbee"
c: 206100 -1 "Lummi"
c: 206200 -1 "Makah"
c: 206300 -1 "Mailseet/Maliseet"
c: 206400 -1 "Mandan"
c: 206500 -1 "Menominee"
c: 206600 -1 "Miami"
c: 206700 -1 "Micmac"
c: 206800 -1 "Mission Indians"
c: 206900 -1 "Miwok"
c: 207000 -1 "Modoc"
c: 207100 -1 "Mohegan"
c: 207200 -1 "Molala"
c: 207300 -1 "Mono"
c: 207400 -1 "Narragansett"
c: 207500 -1 "Navajo"
c: 207600 -1 "Nez Perce"
c: 207700 -1 "Nomalaki"
c: 207801 -1 "Northweste tribe - Alsea"
c: 207802 -1 "Northweste tribe - Columbia"
c: 207803 -1 "Northweste tribe - Kalapuya"
c: 207804 -1 "Northweste tribe - Tenino"
c: 207805 -1 "Northweste tribe - Tillamook"
c: 207806 -1 "Northweste tribe - Wenatchee"
c: 207900 -1 "Omaha"
c: 208000 -1 "Oregon Athabaskan"
c: 208100 -1 "Osage"
c: 208200 -1 "Otoe-Missouria"
c: 208300 -1 "Ottawa"
c: 208400 -1 "Paiute"
c: 208401 -1 "Paiute - Kaibab"
c: 208500 -1 "Passamaquoddy"
c: 208600 -1 "Pawnee"
c: 208700 -1 "Penobscot"
c: 208800 -1 "Peoria"
c: 208900 -1 "Pequot"
c: 209000 -1 "Pima"
c: 209100 -1 "Pit River"
c: 209200 -1 "Pomo"
c: 209201 -1 "Pomo - Scotts Valley"
c: 209300 -1 "Ponca"
c: 209400 -1 "Potawatomie"
c: 209500 -1 "Powhatan"
c: 209600 -1 "Pueblo"
c: 209601 -1 "Pueblo - Acoma"
c: 209602 -1 "Pueblo - Arizona Tewa"
c: 209603 -1 "Pueblo - Cochiti"
c: 209604 -1 "Pueblo - Hopi"
c: 209605 -1 "Pueblo - Jemez"
c: 209606 -1 "Pueblo - Keres"
c: 209607 -1 "Pueblo - Laguna"
c: 209608 -1 "Pueblo - Taos"
c: 209609 -1 "Pueblo - Tewa"
c: 209610 -1 "Pueblo - Tigua"
c: 209611 -1 "Pueblo - Zuni"
c: 209700 -1 "Puget Sound Salish"
c: 209701 -1 "Puget Sound Salish - Duwamish"
c: 209702 -1 "Puget Sound Salish - Kikiallus"
c: 209703 -1 "Puget Sound Salish - Muckleshoot"
c: 209704 -1 "Puget Sound Salish - Nisqually"
c: 209705 -1 "Puget Sound Salish - Nooksack"
c: 209706 -1 "Puget Sound Salish - Port Madison"
c: 209707 -1 "Puget Sound Salish - Puyallup"
c: 209708 -1 "Puget Sound Salish - Samish"
c: 209709 -1 "Puget Sound Salish - Sauk-Suiattle"
c: 209710 -1 "Puget Sound Salish - Skokomish"
c: 209711 -1 "Puget Sound Salish - Skykomish"
c: 209712 -1 "Puget Sound Salish - Snohomish"
c: 209713 -1 "Puget Sound Salish - Snoqualmie"
c: 209714 -1 "Puget Sound Salish - Steilacoom"
c: 209715 -1 "Puget Sound Salish - Suquamish"
c: 209716 -1 "Puget Sound Salish - Swinomish"
c: 209717 -1 "Puget Sound Salish - Tulalip"
c: 209718 -1 "Puget Sound Salish - Upper Skagit"
c: 209800 -1 "Quapaw"
c: 209900 -1 "Quinault"
c: 210000 -1 "Sac and Fox"
c: 210100 -1 "Salish"
c: 210200 -1 "Seminole"
c: 210300 -1 "Serrano"
c: 210400 -1 "Shasta"
c: 210500 -1 "Shawnee"
c: 210600 -1 "Shinnecock"
c: 210700 -1 "Shoshone"
c: 210701 -1 "Shoshone - Goshute"
c: 210702 -1 "Shoshone - South Fork"
c: 210800 -1 "Shoshone Paiute/Paiute Shoshone"
c: 210900 -1 "Siletz"
c: 211000 -1 "Sioux"
c: 211001 -1 "Sioux - Brule"
c: 211002 -1 "Sioux - Lower Brule"
c: 211003 -1 "Sioux - Mdewakanton"
c: 211004 -1 "Sioux - Miniconjou"
c: 211005 -1 "Sioux - Oglala"
c: 211006 -1 "Sioux - Rosebud"
c: 211007 -1 "Sioux - Sans Arc"
c: 211008 -1 "Sioux - Santee"
c: 211009 -1 "Sioux - Sisseton"
c: 211010 -1 "Sioux - Sisseton-Wahpeton"
c: 211011 -1 "Sioux - Teton"
c: 211012 -1 "Sioux - Two Kettle"
c: 211013 -1 "Sioux - Wahpekute"
c: 211014 -1 "Sioux - Wahpeton"
c: 211015 -1 "Sioux - Wazhaza"
c: 211016 -1 "Sioux - Yankton"
c: 211017 -1 "Sioux - Yanktonai"
c: 211018 -1 "Sioux - Amerind White"
c: 211100 -1 "Spokane"
c: 211200 -1 "Stockbridge"
c: 211300 -1 "Tohono O''Odham"
c: 211400 -1 "Tolowa"
c: 211500 -1 "Tonkawa"
c: 211600 -1 "Umatilla"
c: 211700 -1 "Umpqua"
c: 211800 -1 "Ute"
c: 211801 -1 "Uintah Ute"
c: 211900 -1 "Wailaki"
c: 212000 -1 "Walla-Walla"
c: 212100 -1 "Warm Springs"
c: 212200 -1 "Washo"
c: 212300 -1 "Wichita"
c: 212400 -1 "Winnebago"
c: 212500 -1 "Wintu/Wintun"
c: 212600 -1 "Yakima"
c: 212700 -1 "Yaqui"
c: 212801 -1 "Chukchansi"
c: 212802 -1 "Tule River"
c: 212900 -1 "Yuchi"
c: 213001 -1 "Yuman - Cocopah"
c: 213002 -1 "Yuman - Havasupai"
c: 213003 -1 "Yuman - Hualapai"
c: 213004 -1 "Yuman - Maricopa"
c: 213005 -1 "Yuman - Mohave"
c: 213006 -1 "Yuman - Quechan"
c: 213100 -1 "Yurok"
c: 213200 -1 "American Indian, other or unknown"
c: 213300 -1 "American Indian, tribe not reported"
c: 213400 -1 "All other specified American Indian tribe combinations"
c: 300100 -1 "American Indian or Alaska Native, other or unknown"
c: 300200 -1 "American Indian or Alaska Native, tribe not reported"
I: YRSPR -1 -1 -1 117 201 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Years in Puerto Rico
s: Years in Puerto Rico
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: RACESING 1 5 -1 5 204 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Race: Single race identification [general version]
s: Race: Single race identification [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "White"
c: 2 -1 "Black"
c: 3 -1 "American Indian/Alaska Native"
c: 4 -1 "Asian and/or Pacific Islander"
c: 5 -1 "Other race, non-Hispanic"
I: RACESINGD 10 50 -1 50 205 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Race: Single race identification [detailed version]
s: Race: Single race identification [detailed version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 10 -1 "White"
c: 12 -1 "'Other race', Hispanic"
c: 20 -1 "Black"
c: 21 -1 "Mulatto"
c: 30 -1 "AI (American Indian)"
c: 31 -1 "AN (Alaskan Native)"
c: 32 -1 "AI/AN (American Indian/Alaskan Native)"
c: 40 -1 "Asian Indian"
c: 41 -1 "Chinese"
c: 42 -1 "Filipino"
c: 43 -1 "Japanese"
c: 44 -1 "Korean"
c: 45 -1 "Asian"
c: 46 -1 "Hawaiian"
c: 47 -1 "PI (Pacific Islander)"
c: 48 -1 "Asian and PI (Pacific Islander)"
c: 50 -1 "Other race, non-Hispanic"
I: SCHOOL 0 9 -1 9 207 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxx.x.x.x...xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: School attendance
s: School attendance
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, not in school"
c: 2 -1 "Yes, in school"
c: 9 -1 "Missing"
I: SCHLMNTH 0 99 -1 99 208 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Months in school
s: Months in school
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "0 months"
c: 1 -1 "1"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 98 -1 "Illegible"
c: 99 -1 "N/A (blank)"
I: EDUCREC 0 9 -1 9 210 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Educational attainment recode
s: Educational attainment recode
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A  or No schooling"
c: 1 -1 "None or preschool"
c: 2 -1 "Grade 1, 2, 3, or 4"
c: 3 -1 "Grade 5, 6, 7, or 8"
c: 4 -1 "Grade 9"
c: 5 -1 "Grade 10"
c: 6 -1 "Grade 11"
c: 7 -1 "Grade 12"
c: 8 -1 "1 to 3 years of college"
c: 9 -1 "4+ years of college"
I: HIGRADE 0 23 -1 23 211 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxxxxxxxxxxxxxxxxxx.......................
l: Highest grade of schooling [general version]
s: Highest grade of schooling [general version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A  (or None, 1980)"
c: 1 -1 "None"
c: 2 -1 "Nursery school"
c: 3 -1 "Kindergarten"
c: 4 -1 "1st grade"
c: 5 -1 "2nd grade"
c: 6 -1 "3rd grade"
c: 7 -1 "4th grade"
c: 8 -1 "5th grade"
c: 9 -1 "6th grade"
c: 10 -1 "7th grade"
c: 11 -1 "8th grade"
c: 12 -1 "9th grade"
c: 13 -1 "10th grade"
c: 14 -1 "11th grade"
c: 15 -1 "12th grade"
c: 16 -1 "1st year"
c: 17 -1 "2nd year"
c: 18 -1 "3rd year"
c: 19 -1 "4th year"
c: 20 -1 "5th year or more (40-50)"
c: 21 -1 "6th year or more (60,70)"
c: 22 -1 "7th year"
c: 23 -1 "8th year or more"
I: HIGRADED 0 230 -1 230 213 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxxxxxxxxxxxxxxxxxx.......................
l: Highest grade of schooling [detailed version]
s: Highest grade of schooling [detailed version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "None"
c: 11 -1 "Did not finish nurs sch"
c: 12 -1 "Attending nurs sch"
c: 20 -1 "Nursery school"
c: 21 -1 "Did not finish kindergart"
c: 22 -1 "Attending kindergarten"
c: 30 -1 "Kindergarten"
c: 31 -1 "Did not finish 1st grade"
c: 32 -1 "Attending 1st grade"
c: 40 -1 "1st grade"
c: 41 -1 "Did not finish 2nd grade"
c: 42 -1 "Attending 2nd grade"
c: 50 -1 "2nd grade"
c: 51 -1 "Did not finish 3rd grade"
c: 52 -1 "Attending 3rd grade"
c: 60 -1 "3rd grade"
c: 61 -1 "Did not finish 4th grade"
c: 62 -1 "Attending 4th grade"
c: 70 -1 "4th grade"
c: 71 -1 "Did not finish 5th grade"
c: 72 -1 "Attending 5th grade"
c: 80 -1 "5th grade"
c: 81 -1 "Did not finish 6th grade"
c: 82 -1 "Attending 6th grade"
c: 90 -1 "6th grade"
c: 91 -1 "Did not finish 7th grade"
c: 92 -1 "Attending 7th grade"
c: 100 -1 "7th grade"
c: 101 -1 "Did not finish 8th grade"
c: 102 -1 "Attending 8th grade"
c: 110 -1 "8th grade"
c: 111 -1 "Did not finish 9th grade"
c: 112 -1 "Attending 9th grade"
c: 120 -1 "9th grade"
c: 121 -1 "Did not finish 10th grade"
c: 122 -1 "Attending 10th grade"
c: 130 -1 "10th grade"
c: 131 -1 "Did not finish 11th grade"
c: 132 -1 "Attending 11th grade"
c: 140 -1 "11th grade"
c: 141 -1 "Did not finish 12th grade"
c: 142 -1 "Attending 12th grade"
c: 150 -1 "12th grade"
c: 151 -1 "Did not finish 1st year college"
c: 152 -1 "Attending 1st yesr college"
c: 160 -1 "1st year of college"
c: 161 -1 "Did not finish 2nd year of college"
c: 162 -1 "Attending 2nd year of college"
c: 170 -1 "2nd year of college"
c: 171 -1 "Did not finish 3rd year of college"
c: 172 -1 "Attending 3rd year of college"
c: 180 -1 "3rd year of college"
c: 181 -1 "Did not finish 4th year of college"
c: 182 -1 "Attending 4th year of college"
c: 190 -1 "4th year of college"
c: 191 -1 "Did not finish 5th year of college"
c: 192 -1 "Attending 5th year of college"
c: 200 -1 "5th year or more of college (1940, 50)"
c: 201 -1 "Did not finish 6th year of college"
c: 202 -1 "Attending 6th year of college"
c: 210 -1 "6th year or more of college (1960,70)"
c: 211 -1 "Did not finish 7th year of college"
c: 212 -1 "Attending 7th year of college"
c: 220 -1 "7th year of college"
c: 221 -1 "Did not finish 8th year of college"
c: 222 -1 "Attending 8th year of college"
c: 230 -1 "8th year or more of college"
I: SCHLTYPE 0 7 -1 7 216 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxxxxxxxxxxxxxx..xxxxxxxxxxxxxxxx
l: Public or private school
s: Public or private school
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Not enrolled"
c: 2 -1 "Public school"
c: 3 -1 "Private school (1960,1990-2000,ACS,PRCS)"
c: 4 -1 "Church-related (1980)"
c: 5 -1 "Parochial (1970)"
c: 6 -1 "Other private, 1980"
c: 7 -1 "Other private, 1970"
I: LIT 0 4 -1 4 217 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxx..........................................
l: Literacy
s: Literacy
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, illiterate (cannot read or write)"
c: 2 -1 "Cannot read, can write"
c: 3 -1 "Cannot write, can read"
c: 4 -1 "Yes, literate (reads and writes)"
I: EMPSTAT 0 3 -1 3 218 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx...xxxxxxxxxx...xxxxx..xxxxxxxxxxxxxxxxxxxxxxx
l: Employment status [general version]
s: Employment status [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Employed"
c: 2 -1 "Unemployed"
c: 3 -1 "Not in labor force"
I: EMPSTATD 0 34 -1 34 219 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx...xxxxxxxxxx...xxxxx..xxxxxxxxxxxxxxxxxxxxxxx
l: Employment status [detailed version]
s: Employment status [detailed version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "At work"
c: 11 -1 "At work, public emerg"
c: 12 -1 "Has job, not working"
c: 13 -1 "Armed forces"
c: 14 -1 "Armed forces--at work"
c: 15 -1 "Armed forces--not at work but with job"
c: 20 -1 "Unemployed"
c: 21 -1 "Unemp, exper worker"
c: 22 -1 "Unemp, new worker"
c: 30 -1 "Not in Labor Force"
c: 31 -1 "NILF, housework"
c: 32 -1 "NILF, unable to work"
c: 33 -1 "NILF, school"
c: 34 -1 "NILF, other"
I: LABFORCE 0 2 -1 2 221 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxx...xxxxxxxxxxxx..xxxxxxxxxxxxxxxx
l: Labor force status
s: Labor force status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, not in the labor force"
c: 2 -1 "Yes, in the labor force"
I: OCC -1 -1 0 999 222 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Occupation
s: Occupation
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: OCC1950 0 999 0 999 225 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Occupation, 1950 basis
s: Occupation, 1950 basis
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Accountants and auditors"
c: 1 -1 "Actors and actresses"
c: 2 -1 "Airplane pilots and navigators"
c: 3 -1 "Architects"
c: 4 -1 "Artists and art teachers"
c: 5 -1 "Athletes"
c: 6 -1 "Authors"
c: 7 -1 "Chemists"
c: 8 -1 "Chiropractors"
c: 9 -1 "Clergymen"
c: 10 -1 "College presidents and deans"
c: 12 -1 "Aricultural sciences-Professors and instructors"
c: 13 -1 "Biological sciences-Professors and instructors"
c: 14 -1 "Chemistry-Professors and instructors"
c: 15 -1 "Economics-Professors and instructors"
c: 16 -1 "Engineering-Professors and instructors"
c: 17 -1 "Geology and geophysics-Professors and instructors"
c: 18 -1 "Mathematics-Professors and instructors"
c: 19 -1 "Medical Sciences-Professors and instructors"
c: 23 -1 "Physics-Professors and instructors"
c: 24 -1 "Psychology-Professors and instructors"
c: 25 -1 "Statistics-Professors and instructors"
c: 26 -1 "Natural science (nec)-Professors and instructors"
c: 27 -1 "Social sciences (nec)-Professors and instructors"
c: 28 -1 "Nonscientific subjects-Professors and instructors"
c: 29 -1 "Subject not specified-Professors and instructors"
c: 31 -1 "Dancers and dancing teachers"
c: 32 -1 "Dentists"
c: 33 -1 "Designers"
c: 34 -1 "Dieticians and nutritionists"
c: 35 -1 "Draftsmen"
c: 36 -1 "Editors and reporters"
c: 41 -1 "Aeronautical-Engineers"
c: 42 -1 "Chemical-Engineers"
c: 43 -1 "Civil-Engineers"
c: 44 -1 "Electrical-Engineers"
c: 45 -1 "Industrial-Engineers"
c: 46 -1 "Mechanical-Engineers"
c: 47 -1 "Metallurgical, metallurgists-Engineers"
c: 48 -1 "Mining-Engineers"
c: 49 -1 "Engineers (nec)"
c: 51 -1 "Entertainers (nec)"
c: 52 -1 "Farm and home management advisors"
c: 53 -1 "Foresters and conservationists"
c: 54 -1 "Funeral directors and embalmers"
c: 55 -1 "Lawyers and judges"
c: 56 -1 "Librarians"
c: 57 -1 "Musicians and music teachers"
c: 58 -1 "Nurses, professional"
c: 59 -1 "Nurses, student professional"
c: 61 -1 "Agricultural scientists"
c: 62 -1 "Biological scientists"
c: 63 -1 "Geologists and geophysicists"
c: 67 -1 "Mathematicians"
c: 68 -1 "Physicists"
c: 69 -1 "Misc. natural scientists"
c: 70 -1 "Optometrists"
c: 71 -1 "Osteopaths"
c: 72 -1 "Personnel and labor relations workers"
c: 73 -1 "Pharmacists"
c: 74 -1 "Photographers"
c: 75 -1 "Physicians and surgeons"
c: 76 -1 "Radio operators"
c: 77 -1 "Recreation and group workers"
c: 78 -1 "Religious workers"
c: 79 -1 "Social and welfare workers, except group"
c: 81 -1 "Economists"
c: 82 -1 "Psychologists"
c: 83 -1 "Statisticians and actuaries"
c: 84 -1 "Misc social scientists"
c: 91 -1 "Sports instructors and officials"
c: 92 -1 "Surveyors"
c: 93 -1 "Teachers (n.e.c.)"
c: 94 -1 "Medical and dental-technicians"
c: 95 -1 "Testing-technicians"
c: 96 -1 "Technicians (nec)"
c: 97 -1 "Therapists and healers (nec)"
c: 98 -1 "Veterinarians"
c: 99 -1 "Professional, technical and kindred workers (nec)"
c: 100 -1 "Farmers (owners and tenants)"
c: 123 -1 "Farm managers"
c: 200 -1 "Buyers and dept heads, store"
c: 201 -1 "Buyers and shippers, farm products"
c: 203 -1 "Conductors, railroad"
c: 204 -1 "Credit men"
c: 205 -1 "Floormen and floor managers, store"
c: 210 -1 "Inspectors, public administration"
c: 230 -1 "Managers and superintendants, building"
c: 240 -1 "Officers, pilots, pursers and engineers, ship"
c: 250 -1 "Officials and administrators (nec), public administration"
c: 260 -1 "Officials, lodge, society, union, etc."
c: 270 -1 "Postmasters"
c: 280 -1 "Purchasing agents and buyers (nec)"
c: 290 -1 "Managers, officials, and proprietors (nec)"
c: 300 -1 "Agents (nec)"
c: 301 -1 "Attendants and assistants, library"
c: 302 -1 "Attendants, physicians and dentists office"
c: 304 -1 "Baggagemen, transportation"
c: 305 -1 "Bank tellers"
c: 310 -1 "Bookkeepers"
c: 320 -1 "Cashiers"
c: 321 -1 "Collectors, bill and account"
c: 322 -1 "Dispatchers and starters, vehicle"
c: 325 -1 "Express messengers and railway mail clerks"
c: 335 -1 "Mail carriers"
c: 340 -1 "Messengers and office boys"
c: 341 -1 "Office machine operators"
c: 342 -1 "Shipping and receiving clerks"
c: 350 -1 "Stenographers, typists, and secretaries"
c: 360 -1 "Telegraph messengers"
c: 365 -1 "Telegraph operators"
c: 370 -1 "Telephone operators"
c: 380 -1 "Ticket, station, and express agents"
c: 390 -1 "Clerical and kindred workers (n.e.c.)"
c: 400 -1 "Advertising agents and salesmen"
c: 410 -1 "Auctioneers"
c: 420 -1 "Demonstrators"
c: 430 -1 "Hucksters and peddlers"
c: 450 -1 "Insurance agents and brokers"
c: 460 -1 "Newsboys"
c: 470 -1 "Real estate agents and brokers"
c: 480 -1 "Stock and bond salesmen"
c: 490 -1 "Salesmen and sales clerks (nec)"
c: 500 -1 "Bakers"
c: 501 -1 "Blacksmiths"
c: 502 -1 "Bookbinders"
c: 503 -1 "Boilermakers"
c: 504 -1 "Brickmasons,stonemasons, and tile setters"
c: 505 -1 "Cabinetmakers"
c: 510 -1 "Carpenters"
c: 511 -1 "Cement and concrete finishers"
c: 512 -1 "Compositors and typesetters"
c: 513 -1 "Cranemen,derrickmen, and hoistmen"
c: 514 -1 "Decorators and window dressers"
c: 515 -1 "Electricians"
c: 520 -1 "Electrotypers and stereotypers"
c: 521 -1 "Engravers, except engravers"
c: 522 -1 "Excavating, grading, and road machinery operators"
c: 523 -1 "Foremen (nec)"
c: 524 -1 "Forgemen and hammermen"
c: 525 -1 "Furriers"
c: 530 -1 "Glaziers"
c: 531 -1 "Heat treaters, annealers, temperers"
c: 532 -1 "Inspectors, scalers, and graders log and lumber"
c: 533 -1 "Inspectors (nec)"
c: 534 -1 "Jewelers, watchmakers, goldsmiths, and silversmiths"
c: 535 -1 "Job setters, metal"
c: 540 -1 "Linemen and servicemen, telegraph, telephone, and power"
c: 541 -1 "Locomotive engineers"
c: 542 -1 "Locomotive firemen"
c: 543 -1 "Loom fixers"
c: 544 -1 "Machinists"
c: 545 -1 "Airplane-mechanics and repairmen"
c: 550 -1 "Automobile-mechanics and repairmen"
c: 551 -1 "Office machine-mechanics and repairmen"
c: 552 -1 "Radio and television-mechanics and repairmen"
c: 553 -1 "Railroad and car shop-mechanics and repairmen"
c: 554 -1 "Mechanics and repairmen (nec)"
c: 555 -1 "Millers, grain, flour, feed, etc"
c: 560 -1 "Millwrights"
c: 561 -1 "Molders, metal"
c: 562 -1 "Motion picture projectionists"
c: 563 -1 "Opticians and lens grinders and polishers"
c: 564 -1 "Painters, construction and maintenance"
c: 565 -1 "Paperhangers"
c: 570 -1 "Pattern and model makers, except paper"
c: 571 -1 "Photoengravers and lithographers"
c: 572 -1 "Piano and organ tuners and repairmen"
c: 573 -1 "Plasterers"
c: 574 -1 "Plumbers and pipe fitters"
c: 575 -1 "Pressmen and plate printers, printing"
c: 580 -1 "Rollers and roll hands, metal"
c: 581 -1 "Roofers and slaters"
c: 582 -1 "Shoemakers and repairers, except factory"
c: 583 -1 "Stationary engineers"
c: 584 -1 "Stone cutters and stone carvers"
c: 585 -1 "Structural metal workers"
c: 590 -1 "Tailors and tailoresses"
c: 591 -1 "Tinsmiths, coppersmiths, and sheet metal workers"
c: 592 -1 "Tool makers, and die makers and setters"
c: 593 -1 "Upholsterers"
c: 594 -1 "Craftsmen and kindred workers (nec)"
c: 595 -1 "Members of the armed services"
c: 600 -1 "Auto mechanics apprentice"
c: 601 -1 "Bricklayers and masons apprentice"
c: 602 -1 "Carpenters apprentice"
c: 603 -1 "Electricians apprentice"
c: 604 -1 "Machinists and toolmakers apprentice"
c: 605 -1 "Mechanics, except auto apprentice"
c: 610 -1 "Plumbers and pipe fitters apprentice"
c: 611 -1 "Apprentices, building trades (nec)"
c: 612 -1 "Apprentices, metalworking trades (nec)"
c: 613 -1 "Apprentices, printing  trades"
c: 614 -1 "Apprentices, other specified trades"
c: 615 -1 "Apprentices, trade not specified"
c: 620 -1 "Asbestos and insulation workers"
c: 621 -1 "Attendants, auto service and parking"
c: 622 -1 "Blasters and powdermen"
c: 623 -1 "Boatmen, canalmen, and lock keepers"
c: 624 -1 "Brakemen, railroad"
c: 625 -1 "Bus drivers"
c: 630 -1 "Chainmen, rodmen, and axmen, surveying"
c: 631 -1 "Conductors, bus and street railway"
c: 632 -1 "Deliverymen and routemen"
c: 633 -1 "Dressmakers and seamstresses except factory"
c: 634 -1 "Dyers"
c: 635 -1 "Filers, grinders, and polishers, metal"
c: 640 -1 "Fruit, nut, and vegetable graders, and packers, except facto"
c: 641 -1 "Furnacemen, smeltermen and pourers"
c: 642 -1 "Heaters, metal"
c: 643 -1 "Laundry and dry cleaning Operatives"
c: 644 -1 "Meat cutters, except slaughter and packing house"
c: 645 -1 "Milliners"
c: 650 -1 "Mine operatives and laborers"
c: 660 -1 "Motormen, mine, factory, logging camp, etc"
c: 661 -1 "Motormen, street, subway, and elevated railway"
c: 662 -1 "Oilers and greaser, except auto"
c: 670 -1 "Painters, except construction or maintenance"
c: 671 -1 "Photographic process workers"
c: 672 -1 "Power station operators"
c: 673 -1 "Sailors and deck hands"
c: 674 -1 "Sawyers"
c: 675 -1 "Spinners, textile"
c: 680 -1 "Stationary firemen"
c: 681 -1 "Switchmen, railroad"
c: 682 -1 "Taxicab drivers and chauffeurs"
c: 683 -1 "Truck and tractor drivers"
c: 684 -1 "Weavers, textile"
c: 685 -1 "Welders and flame cutters"
c: 690 -1 "Operative and kindred workers (nec)"
c: 700 -1 "Housekeepers, private household"
c: 710 -1 "Laundressses, private household"
c: 720 -1 "Private household workers (nec)"
c: 730 -1 "Attendants, hospital and other institution"
c: 731 -1 "Attendants, professional and personal service (nec)"
c: 732 -1 "Attendants, recreation and amusement"
c: 740 -1 "Barbers, beauticians, and manicurists"
c: 750 -1 "Bartenders"
c: 751 -1 "Bootblacks"
c: 752 -1 "Boarding and lodging house keepers"
c: 753 -1 "Charwomen and cleaners"
c: 754 -1 "Cooks, except private household"
c: 760 -1 "Counter and fountain workers"
c: 761 -1 "Elevator operators"
c: 762 -1 "Firemen, fire protection"
c: 763 -1 "Guards, watchmen, and doorkeepers"
c: 764 -1 "Housekeepers and stewards, except private household"
c: 770 -1 "Janitors and sextons"
c: 771 -1 "Marshals and constables"
c: 772 -1 "Midwives"
c: 773 -1 "Policemen and detectives"
c: 780 -1 "Porters"
c: 781 -1 "Practical nurses"
c: 782 -1 "Sheriffs and bailiffs"
c: 783 -1 "Ushers, recreation and amusement"
c: 784 -1 "Waiters and waitresses"
c: 785 -1 "Watchmen (crossing) and bridge tenders"
c: 790 -1 "Service workers, except private household (nec)"
c: 810 -1 "Farm foremen"
c: 820 -1 "Farm laborers, wage workers"
c: 830 -1 "Farm laborers, unpaid family workers"
c: 840 -1 "Farm service laborers, self-employed"
c: 910 -1 "Fishermen and oystermen"
c: 920 -1 "Garage laborers and car washers and greasers"
c: 930 -1 "Gardeners, except farm, and groundskeepers"
c: 940 -1 "Longshoremen and stevedores"
c: 950 -1 "Lumbermen, raftsmen, and woodchoppers"
c: 960 -1 "Teamsters"
c: 970 -1 "Laborers (nec)"
c: 980 -1 "Keeps house/housekeeping at home/housewife"
c: 981 -1 "Imputed keeping house (1850-1900)"
c: 982 -1 "Helping at home/helps parents/housework"
c: 983 -1 "At school/student"
c: 984 -1 "Retired"
c: 985 -1 "Unemployed/without occupation"
c: 986 -1 "Invalid/disabled w/ no occupation reported"
c: 987 -1 "Inmate"
c: 991 -1 "Gentleman/lady/at leisure"
c: 995 -1 "Other non-occupation"
c: 997 -1 "Occupation missing/unknown"
c: 999 -1 "N/A (blank)"
I: OCC1990 3 999 -1 999 228 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Occupation, 1990 basis
s: Occupation, 1990 basis
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 3 -1 "Legislators"
c: 4 -1 "Chief executives and public administrators"
c: 7 -1 "Financial managers"
c: 8 -1 "Human resources and labor relations managers"
c: 13 -1 "Managers and specialists in marketing, advertising, and publ"
c: 14 -1 "Managers in education and related fields"
c: 15 -1 "Managers of medicine and health occupations"
c: 16 -1 "Postmasters and mail superintendents"
c: 17 -1 "Managers of food-serving and lodging establishments"
c: 18 -1 "Managers of properties and real estate"
c: 19 -1 "Funeral directors"
c: 21 -1 "Managers of service organizations, n.e.c."
c: 22 -1 "Managers and administrators, n.e.c."
c: 23 -1 "Accountants and auditors"
c: 24 -1 "Insurance underwriters"
c: 25 -1 "Other financial specialists"
c: 26 -1 "Management analysts"
c: 27 -1 "Personnel, HR, training, and labor relations specialists"
c: 28 -1 "Purchasing agents and buyers, of farm products"
c: 29 -1 "Buyers, wholesale and retail trade"
c: 33 -1 "Purchasing managers, agents and buyers, n.e.c."
c: 34 -1 "Business and promotion agents"
c: 35 -1 "Construction inspectors"
c: 36 -1 "Inspectors and compliance officers, outside construction"
c: 37 -1 "Management support occupations"
c: 43 -1 "Architects"
c: 44 -1 "Aerospace engineer"
c: 45 -1 "Metallurgical and materials engineers, variously phrased"
c: 47 -1 "Petroleum, mining, and geological engineers"
c: 48 -1 "Chemical engineers"
c: 53 -1 "Civil engineers"
c: 55 -1 "Electrical engineer"
c: 56 -1 "Industrial engineers"
c: 57 -1 "Mechanical engineers"
c: 59 -1 "Not-elsewhere-classified engineers"
c: 64 -1 "Computer systems analysts and computer scientists"
c: 65 -1 "Operations and systems researchers and analysts"
c: 66 -1 "Actuaries"
c: 67 -1 "Statisticians"
c: 68 -1 "Mathematicians and mathematical scientists"
c: 69 -1 "Physicists and astronomers"
c: 73 -1 "Chemists"
c: 74 -1 "Atmospheric and space scientists"
c: 75 -1 "Geologists"
c: 76 -1 "Physical scientists, n.e.c."
c: 77 -1 "Agricultural and food scientists"
c: 78 -1 "Biological scientists"
c: 79 -1 "Foresters and conservation scientists"
c: 83 -1 "Medical scientists"
c: 84 -1 "Physicians"
c: 85 -1 "Dentists"
c: 86 -1 "Veterinarians"
c: 87 -1 "Optometrists"
c: 88 -1 "Podiatrists"
c: 89 -1 "Other health and therapy"
c: 95 -1 "Registered nurses"
c: 96 -1 "Pharmacists"
c: 97 -1 "Dietitians and nutritionists"
c: 98 -1 "Respiratory therapists"
c: 99 -1 "Occupational therapists"
c: 103 -1 "Physical therapists"
c: 104 -1 "Speech therapists"
c: 105 -1 "Therapists, n.e.c."
c: 106 -1 "Physicians'' assistants"
c: 113 -1 "Earth, environmental, and marine science instructors"
c: 114 -1 "Biological science instructors"
c: 115 -1 "Chemistry instructors"
c: 116 -1 "Physics instructors"
c: 118 -1 "Psychology instructors"
c: 119 -1 "Economics instructors"
c: 123 -1 "History instructors"
c: 125 -1 "Sociology instructors"
c: 127 -1 "Engineering instructors"
c: 128 -1 "Math instructors"
c: 139 -1 "Education instructors"
c: 145 -1 "Law instructors"
c: 147 -1 "Theology instructors"
c: 149 -1 "Home economics instructors"
c: 150 -1 "Humanities profs/instructors, college, nec"
c: 154 -1 "Subject instructors (HS/college)"
c: 155 -1 "Kindergarten and earlier school teachers"
c: 156 -1 "Primary school teachers"
c: 157 -1 "Secondary school teachers"
c: 158 -1 "Special education teachers"
c: 159 -1 "Teachers , n.e.c."
c: 163 -1 "Vocational and educational counselors"
c: 164 -1 "Librarians"
c: 165 -1 "Archivists and curators"
c: 166 -1 "Economists, market researchers, and survey researchers"
c: 167 -1 "Psychologists"
c: 168 -1 "Sociologists"
c: 169 -1 "Social scientists, n.e.c."
c: 173 -1 "Urban and regional planners"
c: 174 -1 "Social workers"
c: 175 -1 "Recreation workers"
c: 176 -1 "Clergy and religious workers"
c: 178 -1 "Lawyers"
c: 179 -1 "Judges"
c: 183 -1 "Writers and authors"
c: 184 -1 "Technical writers"
c: 185 -1 "Designers"
c: 186 -1 "Musician or composer"
c: 187 -1 "Actors, directors, producers"
c: 188 -1 "Art makers: painters, sculptors, craft-artists, and print-ma"
c: 189 -1 "Photographers"
c: 193 -1 "Dancers"
c: 194 -1 "Art/entertainment performers and related"
c: 195 -1 "Editors and reporters"
c: 198 -1 "Announcers"
c: 199 -1 "Athletes, sports instructors, and officials"
c: 200 -1 "Professionals, n.e.c."
c: 203 -1 "Clinical laboratory technologies and technicians"
c: 204 -1 "Dental hygenists"
c: 205 -1 "Health record tech specialists"
c: 206 -1 "Radiologic tech specialists"
c: 207 -1 "Licensed practical nurses"
c: 208 -1 "Health technologists and technicians, n.e.c."
c: 213 -1 "Electrical and electronic (engineering) technicians"
c: 214 -1 "Engineering technicians, n.e.c."
c: 215 -1 "Mechanical engineering technicians"
c: 217 -1 "Drafters"
c: 218 -1 "Surveyors, cartographers, mapping scientists and technicians"
c: 223 -1 "Biological technicians"
c: 224 -1 "Chemical technicians"
c: 225 -1 "Other science technicians"
c: 226 -1 "Airplane pilots and navigators"
c: 227 -1 "Air traffic controllers"
c: 228 -1 "Broadcast equipment operators"
c: 229 -1 "Computer software developers"
c: 233 -1 "Programmers of numerically controlled machine tools"
c: 234 -1 "Legal assistants, paralegals, legal support, etc"
c: 235 -1 "Technicians, n.e.c."
c: 243 -1 "Supervisors and proprietors of sales jobs"
c: 253 -1 "Insurance sales occupations"
c: 254 -1 "Real estate sales occupations"
c: 255 -1 "Financial services sales occupations"
c: 256 -1 "Advertising and related sales jobs"
c: 258 -1 "Sales engineers"
c: 274 -1 "Salespersons, n.e.c."
c: 275 -1 "Retail sales clerks"
c: 276 -1 "Cashiers"
c: 277 -1 "Door-to-door sales, street sales, and news vendors"
c: 283 -1 "Sales demonstrators / promoters / models"
c: 303 -1 "Office supervisors"
c: 308 -1 "Computer and peripheral equipment operators"
c: 313 -1 "Secretaries"
c: 314 -1 "Stenographers"
c: 315 -1 "Typists"
c: 316 -1 "Interviewers, enumerators, and surveyors"
c: 317 -1 "Hotel clerks"
c: 318 -1 "Transportation ticket and reservation agents"
c: 319 -1 "Receptionists"
c: 323 -1 "Information clerks, nec"
c: 326 -1 "Correspondence and order clerks"
c: 328 -1 "Human resources clerks, except payroll and timekeeping"
c: 329 -1 "Library assistants"
c: 335 -1 "File clerks"
c: 336 -1 "Records clerks"
c: 337 -1 "Bookkeepers and accounting and auditing clerks"
c: 338 -1 "Payroll and timekeeping clerks"
c: 343 -1 "Cost and rate clerks (financial records processing)"
c: 344 -1 "Billing clerks and related financial records processing"
c: 345 -1 "Duplication machine operators / office machine operators"
c: 346 -1 "Mail and paper handlers"
c: 347 -1 "Office machine operators, n.e.c."
c: 348 -1 "Telephone operators"
c: 349 -1 "Other telecom operators"
c: 354 -1 "Postal clerks, excluding mail carriers"
c: 355 -1 "Mail carriers for postal service"
c: 356 -1 "Mail clerks, outside of post office"
c: 357 -1 "Messengers"
c: 359 -1 "Dispatchers"
c: 361 -1 "Inspectors, n.e.c."
c: 364 -1 "Shipping and receiving clerks"
c: 365 -1 "Stock and inventory clerks"
c: 366 -1 "Meter readers"
c: 368 -1 "Weighers, measurers, and checkers"
c: 373 -1 "Material recording, scheduling, production, planning, and ex"
c: 375 -1 "Insurance adjusters, examiners, and investigators"
c: 376 -1 "Customer service reps, investigators and adjusters, except i"
c: 377 -1 "Eligibility clerks for government programs; social welfare"
c: 378 -1 "Bill and account collectors"
c: 379 -1 "General office clerks"
c: 383 -1 "Bank tellers"
c: 384 -1 "Proofreaders"
c: 385 -1 "Data entry keyers"
c: 386 -1 "Statistical clerks"
c: 387 -1 "Teacher''s aides"
c: 389 -1 "Administrative support jobs, n.e.c."
c: 405 -1 "Housekeepers, maids, butlers, stewards, and lodging quarters"
c: 407 -1 "Private household cleaners and servants"
c: 415 -1 "Supervisors of guards"
c: 417 -1 "Fire fighting, prevention, and inspection"
c: 418 -1 "Police, detectives, and private investigators"
c: 423 -1 "Other law enforcement: sheriffs, bailiffs, correctional inst"
c: 425 -1 "Crossing guards and bridge tenders"
c: 426 -1 "Guards, watchmen, doorkeepers"
c: 427 -1 "Protective services, n.e.c."
c: 434 -1 "Bartenders"
c: 435 -1 "Waiter/waitress"
c: 436 -1 "Cooks, variously defined"
c: 438 -1 "Food counter and fountain workers"
c: 439 -1 "Kitchen workers"
c: 443 -1 "Waiter''s assistant"
c: 444 -1 "Misc food prep workers"
c: 445 -1 "Dental assistants"
c: 446 -1 "Health aides, except nursing"
c: 447 -1 "Nursing aides, orderlies, and attendants"
c: 448 -1 "Supervisors of cleaning and building service"
c: 453 -1 "Janitors"
c: 454 -1 "Elevator operators"
c: 455 -1 "Pest control occupations"
c: 456 -1 "Supervisors of personal service jobs, n.e.c."
c: 457 -1 "Barbers"
c: 458 -1 "Hairdressers and cosmetologists"
c: 459 -1 "Recreation facility attendants"
c: 461 -1 "Guides"
c: 462 -1 "Ushers"
c: 463 -1 "Public transportation attendants and inspectors"
c: 464 -1 "Baggage porters"
c: 465 -1 "Welfare service aides"
c: 468 -1 "Child care workers"
c: 469 -1 "Personal service occupations, nec"
c: 473 -1 "Farmers (owners and tenants)"
c: 474 -1 "Horticultural specialty farmers"
c: 475 -1 "Farm managers, except for horticultural farms"
c: 476 -1 "Managers of horticultural specialty farms"
c: 479 -1 "Farm workers"
c: 483 -1 "Marine life cultivation workers"
c: 484 -1 "Nursery farming workers"
c: 485 -1 "Supervisors of agricultural occupations"
c: 486 -1 "Gardeners and groundskeepers"
c: 487 -1 "Animal caretakers except on farms"
c: 488 -1 "Graders and sorters of agricultural products"
c: 489 -1 "Inspectors of agricultural products"
c: 496 -1 "Timber, logging, and forestry workers"
c: 498 -1 "Fishers, hunters, and kindred"
c: 503 -1 "Supervisors of mechanics and repairers"
c: 505 -1 "Automobile mechanics"
c: 507 -1 "Bus, truck, and stationary engine mechanics"
c: 508 -1 "Aircraft mechanics"
c: 509 -1 "Small engine repairers"
c: 514 -1 "Auto body repairers"
c: 516 -1 "Heavy equipment and farm equipment mechanics"
c: 518 -1 "Industrial machinery repairers"
c: 519 -1 "Machinery maintenance occupations"
c: 523 -1 "Repairers of industrial electrical equipment"
c: 525 -1 "Repairers of data processing equipment"
c: 526 -1 "Repairers of household appliances and power tools"
c: 527 -1 "Telecom and line installers and repairers"
c: 533 -1 "Repairers of electrical equipment, n.e.c."
c: 534 -1 "Heating, air conditioning, and refigeration mechanics"
c: 535 -1 "Precision makers, repairers, and smiths"
c: 536 -1 "Locksmiths and safe repairers"
c: 538 -1 "Office machine repairers and mechanics"
c: 539 -1 "Repairers of mechanical controls and valves"
c: 543 -1 "Elevator installers and repairers"
c: 544 -1 "Millwrights"
c: 549 -1 "Mechanics and repairers, n.e.c."
c: 558 -1 "Supervisors of construction work"
c: 563 -1 "Masons, tilers, and carpet installers"
c: 567 -1 "Carpenters"
c: 573 -1 "Drywall installers"
c: 575 -1 "Electricians"
c: 577 -1 "Electric power installers and repairers"
c: 579 -1 "Painters, construction and maintenance"
c: 583 -1 "Paperhangers"
c: 584 -1 "Plasterers"
c: 585 -1 "Plumbers, pipe fitters, and steamfitters"
c: 588 -1 "Concrete and cement workers"
c: 589 -1 "Glaziers"
c: 593 -1 "Insulation workers"
c: 594 -1 "Paving, surfacing, and tamping equipment operators"
c: 595 -1 "Roofers and slaters"
c: 596 -1 "Sheet metal duct installers"
c: 597 -1 "Structural metal workers"
c: 598 -1 "Drillers of earth"
c: 599 -1 "Construction trades, n.e.c."
c: 614 -1 "Drillers of oil wells"
c: 615 -1 "Explosives workers"
c: 616 -1 "Miners"
c: 617 -1 "Other mining occupations"
c: 628 -1 "Production supervisors or foremen"
c: 634 -1 "Tool and die makers and die setters"
c: 637 -1 "Machinists"
c: 643 -1 "Boilermakers"
c: 644 -1 "Precision grinders and filers"
c: 645 -1 "Patternmakers and model makers"
c: 646 -1 "Lay-out workers"
c: 649 -1 "Engravers"
c: 653 -1 "Tinsmiths, coppersmiths, and sheet metal workers"
c: 657 -1 "Cabinetmakers and bench carpenters"
c: 658 -1 "Furniture and wood finishers"
c: 659 -1 "Other precision woodworkers"
c: 666 -1 "Dressmakers and seamstresses"
c: 667 -1 "Tailors"
c: 668 -1 "Upholsterers"
c: 669 -1 "Shoe repairers"
c: 674 -1 "Other precision apparel and fabric workers"
c: 675 -1 "Hand molders and shapers, except jewelers"
c: 677 -1 "Optical goods workers"
c: 678 -1 "Dental laboratory and medical appliance technicians"
c: 679 -1 "Bookbinders"
c: 684 -1 "Other precision and craft workers"
c: 686 -1 "Butchers and meat cutters"
c: 687 -1 "Bakers"
c: 688 -1 "Batch food makers"
c: 693 -1 "Adjusters and calibrators"
c: 694 -1 "Water and sewage treatment plant operators"
c: 695 -1 "Power plant operators"
c: 696 -1 "Plant and system operators, stationary engineers"
c: 699 -1 "Other plant and system operators"
c: 703 -1 "Lathe, milling, and turning machine operatives"
c: 706 -1 "Punching and stamping press operatives"
c: 707 -1 "Rollers, roll hands, and finishers of metal"
c: 708 -1 "Drilling and boring machine operators"
c: 709 -1 "Grinding, abrading, buffing, and polishing workers"
c: 713 -1 "Forge and hammer operators"
c: 717 -1 "Fabricating machine operators, n.e.c."
c: 719 -1 "Molders, and casting machine operators"
c: 723 -1 "Metal platers"
c: 724 -1 "Heat treating equipment operators"
c: 726 -1 "Wood lathe, routing, and planing machine operators"
c: 727 -1 "Sawing machine operators and sawyers"
c: 728 -1 "Shaping and joining machine operator (woodworking)"
c: 729 -1 "Nail and tacking machine operators  (woodworking)"
c: 733 -1 "Other woodworking machine operators"
c: 734 -1 "Printing machine operators, n.e.c."
c: 735 -1 "Photoengravers and lithographers"
c: 736 -1 "Typesetters and compositors"
c: 738 -1 "Winding and twisting textile/apparel operatives"
c: 739 -1 "Knitters, loopers, and toppers textile operatives"
c: 743 -1 "Textile cutting machine operators"
c: 744 -1 "Textile sewing machine operators"
c: 745 -1 "Shoemaking machine operators"
c: 747 -1 "Pressing machine operators (clothing)"
c: 748 -1 "Laundry workers"
c: 749 -1 "Misc textile machine operators"
c: 753 -1 "Cementing and gluing maching operators"
c: 754 -1 "Packers, fillers, and wrappers"
c: 755 -1 "Extruding and forming machine operators"
c: 756 -1 "Mixing and blending machine operatives"
c: 757 -1 "Separating, filtering, and clarifying machine operators"
c: 759 -1 "Painting machine operators"
c: 763 -1 "Roasting and baking machine operators (food)"
c: 764 -1 "Washing, cleaning, and pickling machine operators"
c: 765 -1 "Paper folding machine operators"
c: 766 -1 "Furnace, kiln, and oven operators, apart from food"
c: 768 -1 "Crushing and grinding machine operators"
c: 769 -1 "Slicing and cutting machine operators"
c: 773 -1 "Motion picture projectionists"
c: 774 -1 "Photographic process workers"
c: 779 -1 "Machine operators, n.e.c."
c: 783 -1 "Welders and metal cutters"
c: 784 -1 "Solderers"
c: 785 -1 "Assemblers of electrical equipment"
c: 789 -1 "Hand painting, coating, and decorating occupations"
c: 796 -1 "Production checkers and inspectors"
c: 799 -1 "Graders and sorters in manufacturing"
c: 803 -1 "Supervisors of motor vehicle transportation"
c: 804 -1 "Truck, delivery, and tractor drivers"
c: 808 -1 "Bus drivers"
c: 809 -1 "Taxi cab drivers and chauffeurs"
c: 813 -1 "Parking lot attendants"
c: 823 -1 "Railroad conductors and yardmasters"
c: 824 -1 "Locomotive operators (engineers and firemen)"
c: 825 -1 "Railroad brake, coupler, and switch operators"
c: 829 -1 "Ship crews and marine engineers"
c: 834 -1 "Water transport infrastructure tenders and crossing guards"
c: 844 -1 "Operating engineers of construction equipment"
c: 848 -1 "Crane, derrick, winch, and hoist operators"
c: 853 -1 "Excavating and loading machine operators"
c: 859 -1 "Misc material moving occupations"
c: 865 -1 "Helpers, constructions"
c: 866 -1 "Helpers, surveyors"
c: 869 -1 "Construction laborers"
c: 874 -1 "Production helpers"
c: 875 -1 "Garbage and recyclable material collectors"
c: 876 -1 "Materials movers: stevedores and longshore workers"
c: 877 -1 "Stock handlers"
c: 878 -1 "Machine feeders and offbearers"
c: 883 -1 "Freight, stock, and materials handlers"
c: 885 -1 "Garage and service station related occupations"
c: 887 -1 "Vehicle washers and equipment cleaners"
c: 888 -1 "Packers and packagers by hand"
c: 889 -1 "Laborers outside construction"
c: 905 -1 "Military"
c: 991 -1 "Unemployed"
c: 999 -1 "Unknown"
I: IND -1 -1 -1 999 231 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Industry
s: Industry
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: IND1950 0 998 0 998 234 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Industry, 1950 basis
s: Industry, 1950 basis
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or none reported"
c: 105 -1 "Agriculture"
c: 116 -1 "Forestry"
c: 126 -1 "Fisheries"
c: 206 -1 "Metal mining"
c: 216 -1 "Coal mining"
c: 226 -1 "Crude petroleum and natural gas extraction"
c: 236 -1 "Nonmettalic  mining and quarrying, except fuel"
c: 239 -1 "Mining, not specified"
c: 246 -1 "Construction"
c: 306 -1 "Logging"
c: 307 -1 "Sawmills, planing mills, and mill work"
c: 308 -1 "Misc wood products"
c: 309 -1 "Furniture and fixtures"
c: 316 -1 "Glass and glass products"
c: 317 -1 "Cement, concrete, gypsum and plaster products"
c: 318 -1 "Structural clay products"
c: 319 -1 "Pottery and related prods"
c: 326 -1 "Misc nonmetallic mineral and stone products"
c: 336 -1 "Blast furnaces, steel works, and rolling mills"
c: 337 -1 "Other primary iron and steel industries"
c: 338 -1 "Primary nonferrous industries"
c: 346 -1 "Fabricated steel products"
c: 347 -1 "Fabricated nonferrous metal products"
c: 348 -1 "Not specified metal industries"
c: 356 -1 "Agricultural machinery and tractors"
c: 357 -1 "Office and store machines"
c: 358 -1 "Misc machinery"
c: 367 -1 "Electrical machinery, equipment and supplies"
c: 376 -1 "Motor vehicles and motor vehicle equipment"
c: 377 -1 "Aircraft and parts"
c: 378 -1 "Ship and boat building and repairing"
c: 379 -1 "Railroad and misc transportation equipment"
c: 386 -1 "Professional equipment"
c: 387 -1 "Photographic equipment and supplies"
c: 388 -1 "Watches, clocks, and clockwork-operated devices"
c: 399 -1 "Misc manufacturing industries"
c: 406 -1 "Meat products"
c: 407 -1 "Dairy products"
c: 408 -1 "Canning and preserving fruits, vegetables, and seafoods"
c: 409 -1 "Grain-mill products"
c: 416 -1 "Bakery products"
c: 417 -1 "Confectionary and related products"
c: 418 -1 "Beverage industries"
c: 419 -1 "Misc food preparations and kindred products"
c: 426 -1 "Not specified food industries"
c: 429 -1 "Tobacco manufactures"
c: 436 -1 "Knitting mills"
c: 437 -1 "Dyeing and finishing textiles, except knit goods"
c: 438 -1 "Carpets, rugs, and other floor coverings"
c: 439 -1 "Yarn, thread, and fabric"
c: 446 -1 "Misc textile mill products"
c: 448 -1 "Apparel and accessories"
c: 449 -1 "Misc fabricated textile products"
c: 456 -1 "Pulp, paper, and paper-board mills"
c: 457 -1 "Paperboard containers and boxes"
c: 458 -1 "Misc paper and pulp products"
c: 459 -1 "Printing, publishing, and allied industries"
c: 466 -1 "Synthetic fibers"
c: 467 -1 "Drugs and medicines"
c: 468 -1 "Paints, varnishes, and related products"
c: 469 -1 "Misc chemicals and allied products"
c: 476 -1 "Petroleum refining"
c: 477 -1 "Misc petroleum and coal products"
c: 478 -1 "Rubber products"
c: 487 -1 "Leather: tanned, curried, and finished"
c: 488 -1 "Footwear, except rubber"
c: 489 -1 "Leather products, except footwear"
c: 499 -1 "Not specified manufacturing industries"
c: 506 -1 "Railroads and railway"
c: 516 -1 "Street railways and bus lines"
c: 526 -1 "Trucking service"
c: 527 -1 "Warehousing and storage"
c: 536 -1 "Taxicab service"
c: 546 -1 "Water transportation"
c: 556 -1 "Air transportation"
c: 567 -1 "Petroleum and gasoline pipe lines"
c: 568 -1 "Services incidental to transportation"
c: 578 -1 "Telephone"
c: 579 -1 "Telegraph"
c: 586 -1 "Electric light and power"
c: 587 -1 "Gas and steam supply systems"
c: 588 -1 "Electric-gas utilities"
c: 596 -1 "Water supply"
c: 597 -1 "Sanitary services"
c: 598 -1 "Other and not specified utilities"
c: 606 -1 "Motor vehicles and equipment"
c: 607 -1 "Drugs, chemicals, and allied products"
c: 608 -1 "Dry goods apparel"
c: 609 -1 "Food and related products"
c: 616 -1 "Electrical goods, hardware, and plumbing equipment"
c: 617 -1 "Machinery, equipment, and supplies"
c: 618 -1 "Petroleum products"
c: 619 -1 "Farm prods--raw materials"
c: 626 -1 "Misc wholesale trade"
c: 627 -1 "Not specified wholesale trade"
c: 636 -1 "Food stores, except dairy"
c: 637 -1 "Dairy prods stores and milk retailing"
c: 646 -1 "General merchandise"
c: 647 -1 "Five and ten cent stores"
c: 656 -1 "Apparel and accessories stores, except shoe"
c: 657 -1 "Shoe stores"
c: 658 -1 "Furniture and house furnishings stores"
c: 659 -1 "Household appliance and radio stores"
c: 667 -1 "Motor vehicles and accessories retailing"
c: 668 -1 "Gasoline service stations"
c: 669 -1 "Drug stores"
c: 679 -1 "Eating and drinking  places"
c: 686 -1 "Hardware and farm implement stores"
c: 687 -1 "Lumber and building material retailing"
c: 688 -1 "Liquor stores"
c: 689 -1 "Retail florists"
c: 696 -1 "Jewelry stores"
c: 697 -1 "Fuel and ice retailing"
c: 698 -1 "Misc retail stores"
c: 699 -1 "Not specified retail trade"
c: 716 -1 "Banking and credit"
c: 726 -1 "Security and commodity brokerage and invest companies"
c: 736 -1 "Insurance"
c: 746 -1 "Real estate"
c: 756 -1 "Real estate-insurance-law  offices"
c: 806 -1 "Advertising"
c: 807 -1 "Accounting, auditing, and bookkeeping services"
c: 808 -1 "Misc business services"
c: 816 -1 "Auto repair services and garages"
c: 817 -1 "Misc repair services"
c: 826 -1 "Private households"
c: 836 -1 "Hotels and lodging places"
c: 846 -1 "Laundering, cleaning, and dyeing"
c: 847 -1 "Dressmaking shops"
c: 848 -1 "Shoe repair shops"
c: 849 -1 "Misc personal services"
c: 856 -1 "Radio broadcasting and television"
c: 857 -1 "Theaters and motion pictures"
c: 858 -1 "Bowling alleys, and billiard and pool parlors"
c: 859 -1 "Misc entertainment and recreation services"
c: 868 -1 "Medical and other health services, except hospitals"
c: 869 -1 "Hospitals"
c: 879 -1 "Legal services"
c: 888 -1 "Educational services"
c: 896 -1 "Welfare and religious services"
c: 897 -1 "Nonprofit membership organizs."
c: 898 -1 "Engineering and architectural services"
c: 899 -1 "Misc professional and related"
c: 906 -1 "Postal service"
c: 916 -1 "Federal public administration"
c: 926 -1 "State public administration"
c: 936 -1 "Local public administration"
c: 946 -1 "Public Administration, level not specified"
c: 976 -1 "Common or General laborer"
c: 982 -1 "Housework at home"
c: 983 -1 "School response (students, etc.)"
c: 984 -1 "Retired"
c: 987 -1 "Institution response"
c: 991 -1 "Lady/Man of leisure"
c: 995 -1 "Non-industrial response"
c: 997 -1 "Nonclassifiable"
c: 998 -1 "Industry not reported"
I: IND1990 0 999 -1 999 237 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxxxxxxxxxxxxxxxxx..xxxxxxxxxxxxxxxx
l: Industry, 1990 basis
s: Industry, 1990 basis
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (not applicable) "
c: 10 -1 "Agricultural production, crops"
c: 11 -1 "Agricultural production, livestock"
c: 12 -1 "Veterinary services"
c: 20 -1 "Landscape and horticultural services"
c: 30 -1 "Agricultural services, n.e.c."
c: 31 -1 "Forestry"
c: 32 -1 "Fishing, hunting, and trapping "
c: 40 -1 "Metal mining"
c: 41 -1 "Coal mining"
c: 42 -1 "Oil and gas extraction"
c: 50 -1 "Nonmetallic mining and quarrying, except fuels "
c: 60 -1 "All construction "
c: 100 -1 "Meat products"
c: 101 -1 "Dairy products"
c: 102 -1 "Canned, frozen, and preserved fruits and vegetables"
c: 110 -1 "Grain mill products"
c: 111 -1 "Bakery products"
c: 112 -1 "Sugar and confectionery products"
c: 120 -1 "Beverage industries"
c: 121 -1 "Misc. food preparations and kindred products"
c: 122 -1 "Food industries, n.s."
c: 130 -1 "Tobacco manufactures"
c: 132 -1 "Knitting mills"
c: 140 -1 "Dyeing and finishing textiles, except wool and knit goods"
c: 141 -1 "Carpets and rugs"
c: 142 -1 "Yarn, thread, and fabric mills"
c: 150 -1 "Miscellaneous textile mill products"
c: 151 -1 "Apparel and accessories, except knit"
c: 152 -1 "Miscellaneous fabricated textile products"
c: 160 -1 "Pulp, paper, and paperboard mills"
c: 161 -1 "Miscellaneous paper and pulp products"
c: 162 -1 "Paperboard containers and boxes"
c: 171 -1 "Newspaper publishing and printing"
c: 172 -1 "Printing, publishing, and allied industries, except newspape"
c: 180 -1 "Plastics, synthetics, and resins"
c: 181 -1 "Drugs"
c: 182 -1 "Soaps and cosmetics"
c: 190 -1 "Paints, varnishes, and related products"
c: 191 -1 "Agricultural chemicals"
c: 192 -1 "Industrial and miscellaneous chemicals"
c: 200 -1 "Petroleum refining"
c: 201 -1 "Miscellaneous petroleum and coal products"
c: 210 -1 "Tires and inner tubes"
c: 211 -1 "Other rubber products, and plastics footwear and belting"
c: 212 -1 "Miscellaneous plastics products"
c: 220 -1 "Leather tanning and finishing"
c: 221 -1 "Footwear, except rubber and plastic"
c: 222 -1 "Leather products, except footwear"
c: 230 -1 "Logging"
c: 231 -1 "Sawmills, planing mills, and millwork"
c: 232 -1 "Wood buildings and mobile homes"
c: 241 -1 "Miscellaneous wood products"
c: 242 -1 "Furniture and fixtures"
c: 250 -1 "Glass and glass products"
c: 251 -1 "Cement, concrete, gypsum, and plaster products"
c: 252 -1 "Structural clay products"
c: 261 -1 "Pottery and related products"
c: 262 -1 "Misc. nonmetallic mineral and stone products"
c: 270 -1 "Blast furnaces, steelworks, rolling and finishing mills"
c: 271 -1 "Iron and steel foundries"
c: 272 -1 "Primary aluminum industries"
c: 280 -1 "Other primary metal industries"
c: 281 -1 "Cutlery, handtools, and general hardware"
c: 282 -1 "Fabricated structural metal products"
c: 290 -1 "Screw machine products"
c: 291 -1 "Metal forgings and stampings"
c: 292 -1 "Ordnance"
c: 300 -1 "Miscellaneous fabricated metal products"
c: 301 -1 "Metal industries, n.s."
c: 310 -1 "Engines and turbines"
c: 311 -1 "Farm machinery and equipment"
c: 312 -1 "Construction and material handling machines"
c: 320 -1 "Metalworking machinery"
c: 321 -1 "Office and accounting machines"
c: 322 -1 "Computers and related equipment"
c: 331 -1 "Machinery, except electrical, n.e.c."
c: 332 -1 "Machinery, n.s."
c: 340 -1 "Household appliances"
c: 341 -1 "Radio, TV, and communication equipment"
c: 342 -1 "Electrical machinery, equipment, and supplies, n.e.c."
c: 350 -1 "Electrical machinery, equipment, and supplies, n.s."
c: 351 -1 "Motor vehicles and motor vehicle equipment"
c: 352 -1 "Aircraft and parts"
c: 360 -1 "Ship and boat building and repairing"
c: 361 -1 "Railroad locomotives and equipment"
c: 362 -1 "Guided missiles, space vehicles, and parts"
c: 370 -1 "Cycles and miscellaneous transportation equipment"
c: 371 -1 "Scientific and controlling instruments"
c: 372 -1 "Medical, dental, and optical instruments and supplies"
c: 380 -1 "Photographic equipment and supplies"
c: 381 -1 "Watches, clocks, and clockwork operated devices"
c: 390 -1 "Toys, amusement, and sporting goods"
c: 391 -1 "Miscellaneous manufacturing industries"
c: 392 -1 "Manufacturing industries, n.s. "
c: 400 -1 "Railroads"
c: 401 -1 "Bus service and urban transit"
c: 402 -1 "Taxicab service"
c: 410 -1 "Trucking service"
c: 411 -1 "Warehousing and storage"
c: 412 -1 "U.S. Postal Service"
c: 420 -1 "Water transportation"
c: 421 -1 "Air transportation"
c: 422 -1 "Pipe lines, except natural gas"
c: 432 -1 "Services incidental to transportation"
c: 440 -1 "Radio and television broadcasting and cable"
c: 441 -1 "Telephone communications"
c: 442 -1 "Telegraph and miscellaneous communications services"
c: 450 -1 "Electric light and power"
c: 451 -1 "Gas and steam supply systems"
c: 452 -1 "Electric and gas, and other combinations"
c: 470 -1 "Water supply and irrigation"
c: 471 -1 "Sanitary services"
c: 472 -1 "Utilities, n.s. "
c: 500 -1 "Motor vehicles and equipment"
c: 501 -1 "Furniture and home furnishings"
c: 502 -1 "Lumber and construction materials"
c: 510 -1 "Professional and commercial equipment and supplies"
c: 511 -1 "Metals and minerals, except petroleum"
c: 512 -1 "Electrical goods"
c: 521 -1 "Hardware, plumbing and heating supplies"
c: 530 -1 "Machinery, equipment, and supplies"
c: 531 -1 "Scrap and waste materials"
c: 532 -1 "Miscellaneous wholesale, durable goods"
c: 540 -1 "Paper and paper products"
c: 541 -1 "Drugs, chemicals, and allied products"
c: 542 -1 "Apparel, fabrics, and notions"
c: 550 -1 "Groceries and related products"
c: 551 -1 "Farm-product raw materials"
c: 552 -1 "Petroleum products"
c: 560 -1 "Alcoholic beverages"
c: 561 -1 "Farm supplies"
c: 562 -1 "Miscellaneous wholesale, nondurable goods"
c: 571 -1 "Wholesale trade, n.s. "
c: 580 -1 "Lumber and building material retailing"
c: 581 -1 "Hardware stores"
c: 582 -1 "Retail nurseries and garden stores"
c: 590 -1 "Mobile home dealers"
c: 591 -1 "Department stores"
c: 592 -1 "Variety stores"
c: 600 -1 "Miscellaneous general merchandise stores"
c: 601 -1 "Grocery stores"
c: 602 -1 "Dairy products stores"
c: 610 -1 "Retail bakeries"
c: 611 -1 "Food stores, n.e.c."
c: 612 -1 "Motor vehicle dealers"
c: 620 -1 "Auto and home supply stores"
c: 621 -1 "Gasoline service stations"
c: 622 -1 "Miscellaneous vehicle dealers"
c: 623 -1 "Apparel and accessory stores, except shoe"
c: 630 -1 "Shoe stores"
c: 631 -1 "Furniture and home furnishings stores"
c: 632 -1 "Household appliance stores"
c: 633 -1 "Radio, TV, and computer stores"
c: 640 -1 "Music stores"
c: 641 -1 "Eating and drinking places"
c: 642 -1 "Drug stores"
c: 650 -1 "Liquor stores"
c: 651 -1 "Sporting goods, bicycles, and hobby stores"
c: 652 -1 "Book and stationery stores"
c: 660 -1 "Jewelry stores"
c: 661 -1 "Gift, novelty, and souvenir shops"
c: 662 -1 "Sewing, needlework, and piece goods stores"
c: 663 -1 "Catalog and mail order houses"
c: 670 -1 "Vending machine operators"
c: 671 -1 "Direct selling establishments"
c: 672 -1 "Fuel dealers"
c: 681 -1 "Retail florists"
c: 682 -1 "Miscellaneous retail stores"
c: 691 -1 "Retail trade, n.s. "
c: 700 -1 "Banking"
c: 701 -1 "Savings institutions, including credit unions"
c: 702 -1 "Credit agencies, n.e.c."
c: 710 -1 "Security, commodity brokerage, and investment companies"
c: 711 -1 "Insurance"
c: 712 -1 "Real estate, including real estate-insurance offices "
c: 721 -1 "Advertising"
c: 722 -1 "Services to dwellings and other buildings"
c: 731 -1 "Personnel supply services"
c: 732 -1 "Computer and data processing services"
c: 740 -1 "Detective and protective services"
c: 741 -1 "Business services, n.e.c."
c: 742 -1 "Automotive rental and leasing, without drivers"
c: 750 -1 "Automobile parking and carwashes"
c: 751 -1 "Automotive repair and related services"
c: 752 -1 "Electrical repair shops"
c: 760 -1 "Miscellaneous repair services "
c: 761 -1 "Private households"
c: 762 -1 "Hotels and motels"
c: 770 -1 "Lodging places, except hotels and motels"
c: 771 -1 "Laundry, cleaning, and garment services"
c: 772 -1 "Beauty shops"
c: 780 -1 "Barber shops"
c: 781 -1 "Funeral service and crematories"
c: 782 -1 "Shoe repair shops"
c: 790 -1 "Dressmaking shops"
c: 791 -1 "Miscellaneous personal services "
c: 800 -1 "Theaters and motion pictures"
c: 801 -1 "Video tape rental"
c: 802 -1 "Bowling centers"
c: 810 -1 "Miscellaneous entertainment and recreation services "
c: 812 -1 "Offices and clinics of physicians"
c: 820 -1 "Offices and clinics of dentists"
c: 821 -1 "Offices and clinics of chiropractors"
c: 822 -1 "Offices and clinics of optometrists"
c: 830 -1 "Offices and clinics of health practitioners, n.e.c."
c: 831 -1 "Hospitals"
c: 832 -1 "Nursing and personal care facilities"
c: 840 -1 "Health services, n.e.c."
c: 841 -1 "Legal services"
c: 842 -1 "Elementary and secondary schools"
c: 850 -1 "Colleges and universities"
c: 851 -1 "Vocational schools"
c: 852 -1 "Libraries"
c: 860 -1 "Educational services, n.e.c."
c: 861 -1 "Job training and vocational rehabilitation services"
c: 862 -1 "Child day care services"
c: 863 -1 "Family child care homes"
c: 870 -1 "Residential care facilities, without nursing"
c: 871 -1 "Social services, n.e.c."
c: 872 -1 "Museums, art galleries, and zoos"
c: 873 -1 "Labor unions"
c: 880 -1 "Religious organizations"
c: 881 -1 "Membership organizations, n.e.c."
c: 882 -1 "Engineering, architectural, and surveying services"
c: 890 -1 "Accounting, auditing, and bookkeeping services"
c: 891 -1 "Research, development, and testing services"
c: 892 -1 "Management and public relations services"
c: 893 -1 "Miscellaneous professional and related services "
c: 900 -1 "Executive and legislative offices"
c: 901 -1 "General government, n.e.c."
c: 910 -1 "Justice, public order, and safety"
c: 921 -1 "Public finance, taxation, and monetary policy"
c: 922 -1 "Administration of human resources programs"
c: 930 -1 "Administration of environmental quality and housing programs"
c: 931 -1 "Administration of economic programs"
c: 932 -1 "National security and international affairs "
c: 940 -1 "Army"
c: 941 -1 "Air Force"
c: 942 -1 "Navy"
c: 950 -1 "Marines"
c: 951 -1 "Coast Guard"
c: 952 -1 "Armed Forces, branch not specified"
c: 960 -1 "Military Reserves or National Guard "
c: 992 -1 "Last worked 1984 or earlier"
c: 999 -1 "DID NOT RESPOND"
I: CLASSWKR 0 2 -1 2 240 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Class of worker [general version]
s: Class of worker [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Self-employed"
c: 2 -1 "Works for wages"
I: CLASSWKD 0 29 -1 29 241 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Class of worker [detailed version]
s: Class of worker [detailed version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "Self-employed"
c: 11 -1 "Employer"
c: 12 -1 "Working on own account"
c: 13 -1 "Self-employed, not incorporated"
c: 14 -1 "Self-employed, incorporated"
c: 20 -1 "Works for wages"
c: 21 -1 "Works on salary (1920)"
c: 22 -1 "Wage/salary, private"
c: 23 -1 "Wage/salary at non-profit"
c: 24 -1 "Wage/salary, government"
c: 25 -1 "Federal govt employee"
c: 26 -1 "Armed forces"
c: 27 -1 "State govt employee"
c: 28 -1 "Local govt employee"
c: 29 -1 "Unpaid family worker"
I: OCC1930 -1 -1 -1 9999 243 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............x..........................................
l: Occupation, Unrecoded 1930
s: Occupation, Unrecoded 1930
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: IND1930 -1 -1 -1 9999 247 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............x..........................................
l: Industry, Unrecoded 1930
s: Industry, Unrecoded 1930
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: WKSWORK1 -1 -1 -1 52 251 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx..........xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Weeks worked last year
s: Weeks worked last year
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: WKSWORK2 0 6 -1 6 253 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Weeks worked last year, intervalled
s: Weeks worked last year, intervalled
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "1-13 weeks"
c: 2 -1 "14-26 weeks"
c: 3 -1 "27-39 weeks"
c: 4 -1 "40-47 weeks"
c: 5 -1 "48-49 weeks"
c: 6 -1 "50-52 weeks"
I: HRSWORK1 -1 -1 -1 99 254 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx..........xxxxxxxxxxxxxx................
l: Hours worked last week
s: Hours worked last week
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: HRSWORK2 0 8 -1 8 256 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxxxxxxxxxxxxxxxxxxxxxxxxx................
l: Hours worked last week, intervalled
s: Hours worked last week, intervalled
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "1-14 hours"
c: 2 -1 "15-29 hours"
c: 3 -1 "30-34 hours"
c: 4 -1 "35-39 hours"
c: 5 -1 "40 hours"
c: 6 -1 "41-48 hours"
c: 7 -1 "49-59 hours"
c: 8 -1 "60+ hours"
I: QTRUNEMP 1 9 -1 9 257 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xx..................xxxxx.........................
l: Quarters unemployed last year
s: Quarters unemployed last year
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Not unemployed last year"
c: 2 -1 "Up to one quarter unemployed last year"
c: 3 -1 "Two quarters unemployed"
c: 4 -1 "Three quarters unemployed"
c: 5 -1 "Four quarters unemployed"
c: 9 -1 "N/A"
I: MOUNEMP 0 12 -1 99 258 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xx................................................
l: Months unemployed last year
s: Months unemployed last year
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "0 months"
c: 1 -1 "1 month"
c: 2 -1 "2 months"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
I: WKSUNEMP 0 52 -1 99 260 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx................xxxxxxx.......................
l: Weeks unemployed last year
s: Weeks unemployed last year
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 ""
c: 1 -1 ""
c: 2 -1 ""
c: 3 -1 ""
c: 4 -1 ""
c: 5 -1 ""
c: 6 -1 ""
c: 7 -1 ""
c: 8 -1 ""
c: 9 -1 ""
c: 10 -1 ""
c: 11 -1 ""
c: 12 -1 ""
c: 13 -1 ""
c: 14 -1 ""
c: 15 -1 ""
c: 16 -1 ""
c: 17 -1 ""
c: 18 -1 ""
c: 19 -1 ""
c: 20 -1 ""
c: 21 -1 ""
c: 22 -1 ""
c: 23 -1 ""
c: 24 -1 ""
c: 25 -1 ""
c: 26 -1 ""
c: 27 -1 ""
c: 28 -1 ""
c: 29 -1 ""
c: 30 -1 ""
c: 31 -1 ""
c: 32 -1 ""
c: 33 -1 ""
c: 34 -1 ""
c: 35 -1 ""
c: 36 -1 ""
c: 37 -1 ""
c: 38 -1 ""
c: 39 -1 ""
c: 40 -1 ""
c: 41 -1 ""
c: 42 -1 ""
c: 43 -1 ""
c: 44 -1 ""
c: 45 -1 ""
c: 46 -1 ""
c: 47 -1 ""
c: 48 -1 ""
c: 49 -1 ""
c: 50 -1 ""
c: 51 -1 ""
c: 52 -1 ""
I: DURUNEMP -1 -1 -1 999 262 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx........................................
l: Continuous weeks unemployed
s: Continuous weeks unemployed
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: YRLASTWK 0 50 -1 50 265 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxx................
l: Year last worked
s: Year last worked
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "Worked current yr"
c: 20 -1 "Worked previous yr"
c: 31 -1 "Worked 2 yrs prior"
c: 32 -1 "Worked 2-5 yrs ago"
c: 33 -1 "Worked 3-5 yrs ago"
c: 34 -1 "Worked 3-6 yrs ago"
c: 35 -1 "Worked 6-10 yrs ago"
c: 36 -1 "Worked 7-10 yrs ago"
c: 40 -1 "Worked more than 10 yrs ago"
c: 50 -1 "Never worked"
I: ACTIVITY 0 9 -1 9 267 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Main activity last week
s: Main activity last week
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Working"
c: 2 -1 "Armed forces"
c: 3 -1 "Housekeeping/Worked at least 1 hour"
c: 4 -1 "Housekeeping/Looked for work"
c: 5 -1 "Housekeeping/Did not look for work"
c: 6 -1 "Other activity/Worked at least 1 hour"
c: 7 -1 "Other activity/Looked for work"
c: 8 -1 "Other activity/Did not look for work"
c: 9 -1 "Unable to work"
I: WORKEDYR 0 2 -1 2 268 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Worked last year
s: Worked last year
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: UOCC 1 999 -1 999 269 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Usual occupation
s: Usual occupation
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Artists and art teachers"
c: 2 -1 "Authors"
c: 3 -1 "Editors and reporters"
c: 4 -1 "Chemists, assayers, and metallurgists"
c: 5 -1 "Clergymen"
c: 6 -1 "College presidents, professors, and instructors"
c: 7 -1 "Dentists"
c: 8 -1 "Chemical engineers"
c: 9 -1 "Civil engineers"
c: 10 -1 "Electrical engineers"
c: 11 -1 "Industrial engineers"
c: 12 -1 "Mechanical engineers"
c: 13 -1 "Mining and metallurgical engineers"
c: 14 -1 "Lawyers and judges"
c: 15 -1 "Musicians and music teachers"
c: 16 -1 "Pharmacists"
c: 17 -1 "Physicians and surgeons"
c: 18 -1 "Teachers, n.e.c., excluding college teachers and teachers of"
c: 19 -1 "Trained nurses and student nurses"
c: 20 -1 "Actors and actresses"
c: 21 -1 "Architects"
c: 22 -1 "County agents and farm demonstrators"
c: 23 -1 "Librarians"
c: 24 -1 "Osteopaths"
c: 25 -1 "Social and welfare workers"
c: 26 -1 "Veterinarians"
c: 27 -1 "Professional workers, n.e.c."
c: 28 -1 "Designers"
c: 29 -1 "Draftsmen"
c: 30 -1 "Funeral directors and embalmers"
c: 31 -1 "Photographers"
c: 32 -1 "Religious workers"
c: 33 -1 "Technicians and assistants, laboratory"
c: 34 -1 "Technicians, except laboratory"
c: 35 -1 "Athletes"
c: 36 -1 "Aviators"
c: 37 -1 "Chiropractors"
c: 38 -1 "Dancers, dancing teachers, and chorus girls"
c: 39 -1 "Healers and medical service workers, n.e.c"
c: 40 -1 "Optometrists"
c: 41 -1 "Radio and wireless operators"
c: 42 -1 "Showmen"
c: 43 -1 "Sports instructors and officials"
c: 44 -1 "Surveyors"
c: 45 -1 "Semiprofessional workers, n.e.c."
c: 98 -1 "Farmers owners and tenants"
c: 99 -1 "Farm managers"
c: 100 -1 "Advertising agents"
c: 102 -1 "Conductors--railroad"
c: 104 -1 "Inspectors--United States"
c: 106 -1 "Inspectors--state"
c: 108 -1 "Inspectors--city"
c: 110 -1 "Inspectors--county and local"
c: 112 -1 "Officials--United States"
c: 114 -1 "Officials--state"
c: 116 -1 "Officials--city"
c: 118 -1 "Officials--county and local"
c: 120 -1 "Buyers and department heads--store"
c: 122 -1 "Country buyers and shippers of livestock and other farm prod"
c: 124 -1 "Credit men"
c: 126 -1 "Floormen and floor managers--store"
c: 128 -1 "Managers and superintendents--building"
c: 130 -1 "Officers, pilots, pursers, and engineers--ship"
c: 132 -1 "Officials--lodge, society, union, etc."
c: 134 -1 "Postmasters"
c: 136 -1 "Purchasing agents and buyers, n.e.c."
c: 156 -1 "Proprietors, managers, and officials, n.e.c."
c: 200 -1 "Agents, n.e.c."
c: 210 -1 "Bookkeepers, accountants, and cashiers"
c: 220 -1 "'Clerks' in stores"
c: 222 -1 "Mail carriers"
c: 224 -1 "Messengers, errand, and office boys and girls"
c: 226 -1 "Shipping and receiving clerks"
c: 236 -1 "Stenographers, typists, and secretaries"
c: 240 -1 "Telegraph operators"
c: 242 -1 "Telephone operators"
c: 244 -1 "Ticket, station, and express agents"
c: 246 -1 "Attendants and assistants--library"
c: 248 -1 "Attendants--physicians'' and dentists'' offices"
c: 250 -1 "Baggagemen--transportation"
c: 252 -1 "Collectors--bill and account"
c: 254 -1 "Express messengers and railway mail clerks"
c: 256 -1 "Office machine operators"
c: 258 -1 "Telegraph messengers"
c: 266 -1 "Clerical and kindred workers, n.e.c."
c: 270 -1 "Canvassers and solicitors"
c: 272 -1 "Hucksters and peddlars"
c: 274 -1 "Insurance agents and brokers"
c: 276 -1 "Real estate agents and brokers"
c: 278 -1 "Traveling salesmen and sales agents"
c: 280 -1 "Auctioneers"
c: 282 -1 "Demonstrators"
c: 284 -1 "Newsboys"
c: 286 -1 "Salesmen, finance, brokerage, and commission firms"
c: 298 -1 "Salesmen and saleswomen, n.e.c."
c: 300 -1 "Bakers"
c: 302 -1 "Blacksmiths, forgemen, and hammermen"
c: 304 -1 "Boilermakers"
c: 306 -1 "Brickmasons, stonemasons, and tile setters"
c: 308 -1 "Carpenters"
c: 310 -1 "Compositors and typesetters"
c: 312 -1 "Decorators and window dressers"
c: 314 -1 "Electricians"
c: 316 -1 "Foremen, n.e.c."
c: 318 -1 "Inspectors, n.e.c."
c: 320 -1 "Jewelers, watchmakers, goldsmiths, and silversmiths"
c: 322 -1 "Locomotive engineers"
c: 324 -1 "Locomotive firemen"
c: 326 -1 "Machinists"
c: 327 -1 "Millwrights"
c: 330 -1 "Mechanics and repairmen--airplane"
c: 332 -1 "Mechanics and repairmen--automobile"
c: 334 -1 "Mechanics and repairmen--railroad and car shop"
c: 336 -1 "Mechanics and repairmen, n.e.c."
c: 338 -1 "Molders--metal"
c: 340 -1 "Painters--construction and maintenance"
c: 342 -1 "Paperhangers"
c: 344 -1 "Pattern and model makers, except paper"
c: 346 -1 "Plasterers"
c: 348 -1 "Plumbers and gas and steam fitters"
c: 350 -1 "Roofers and slaters"
c: 352 -1 "Sawyers"
c: 354 -1 "Shoemakers and repairers--not in factory"
c: 356 -1 "Stationary engineers"
c: 358 -1 "Cranemen, hoistmen, and construction machinery operators"
c: 260 -1 "Tailors and tailoresses"
c: 362 -1 "Tinsmiths, coppersmiths, and sheet metal workers"
c: 364 -1 "Upholsterers"
c: 366 -1 "Cabinetmakers"
c: 368 -1 "Cement and concrete finishers"
c: 370 -1 "Electrotypers and stereotypers"
c: 372 -1 "Engravers, except photoengravers"
c: 374 -1 "Furriers"
c: 376 -1 "Glaziers"
c: 378 -1 "Heat treaters, annealers, and temperers"
c: 380 -1 "Inspectors, scalers, and graders--log and lumber"
c: 382 -1 "Loom fixers"
c: 384 -1 "Millers--grain, flour, feed, etc."
c: 386 -1 "Opticians and lens grinders and polishers"
c: 388 -1 "Photoengravers and lithographers"
c: 390 -1 "Piano and organ tuners"
c: 392 -1 "Pressmen and plate printers--printing"
c: 394 -1 "Rollers and roll hands--metal"
c: 396 -1 "Stonecutters and stone carvers"
c: 398 -1 "Structural and ornamental metal workers"
c: 400 -1 "Carpenters'' apprentices"
c: 402 -1 "Electricians'' apprentices"
c: 404 -1 "Machinists'' apprentices"
c: 406 -1 "Plumbers'' apprentices"
c: 408 -1 "Building and hand trade apprentices, n.e.c."
c: 410 -1 "Apprentices--printing trades"
c: 412 -1 "Apprentices--specified trades, n.e.c."
c: 414 -1 "Apprentices--trades n.s."
c: 416 -1 "Attendants--filling station, parking lot, garage, and airpor"
c: 418 -1 "Brakemen--railroad"
c: 420 -1 "Chauffeurs and drivers, bus, taxi, truck, and tractor driver"
c: 430 -1 "Conductors--bus and street railway"
c: 432 -1 "Deliverymen"
c: 434 -1 "Dressmakers and seamstresses--not in factory"
c: 436 -1 "Buffers and polishers"
c: 438 -1 "Filers"
c: 440 -1 "Grinders"
c: 442 -1 "Firemen, except locomotive and fire department"
c: 444 -1 "Furnacemen, smeltermen, and pourers"
c: 446 -1 "Heaters-metal"
c: 448 -1 "Laundry operatives and laundresses --except private family"
c: 450 -1 "Linemen and servicemen--telegraph, telephone, and power"
c: 452 -1 "Meat cutters--except slaughter and packing house"
c: 454 -1 "Mine operatives and laborers, including laborers who extract"
c: 456 -1 "Motormen--street, subway, and elevated railway"
c: 458 -1 "Painters--except construction and maintenance"
c: 460 -1 "Sailors and deck hands--except United States Navy"
c: 462 -1 "Switchmen--railroad"
c: 464 -1 "Welders and flame-cutters"
c: 466 -1 "Asbestos and insulation workers"
c: 468 -1 "Blasters and powdermen"
c: 470 -1 "Boatmen, canalmen, and lock keepers"
c: 472 -1 "Chainmen, rodmen, and axmen--surveying"
c: 474 -1 "Dyers"
c: 476 -1 "Fruit and vegetable graders and packers--except in cannery"
c: 478 -1 "Milliners--not in factory"
c: 480 -1 "Motion picture projectionists"
c: 482 -1 "Motormen, vehicle--mine, factory, logging camp, etc."
c: 484 -1 "Oilers, machinery"
c: 486 -1 "Photographic process workers"
c: 488 -1 "Power station operators"
c: 496 -1 "Operatives and kindred workers, n.e.c."
c: 500 -1 "Housekeepers--private family"
c: 510 -1 "Laundresses--private family"
c: 520 -1 "Servants--private family"
c: 600 -1 "Firemen, fire department"
c: 602 -1 "Guards, watchmen, and doorkeepers"
c: 604 -1 "Policemen and detectives--government"
c: 606 -1 "Policemen and detectives--except government"
c: 608 -1 "Soldiers, sailors, marines, and coast guards"
c: 610 -1 "Marshals and constables"
c: 612 -1 "Sheriffs and bailiffs"
c: 614 -1 "Watchmen, crossing and bridge tenders"
c: 700 -1 "Barbers, beauticians, and manicurists"
c: 710 -1 "Bartenders"
c: 712 -1 "Boarding house and lodging house keepers"
c: 714 -1 "Charwomen and cleaners"
c: 720 -1 "Cooks--except private family"
c: 730 -1 "Elevator operators"
c: 732 -1 "Housekeepers, stewards, and hostesses--except private family"
c: 740 -1 "Janitors and sextons"
c: 750 -1 "Porters"
c: 760 -1 "Practical nurses and midwives"
c: 770 -1 "Servants--except private family"
c: 780 -1 "Waiters and waitresses--except private family"
c: 790 -1 "Attendants--hospital and other institution"
c: 792 -1 "Attendants--professional and personal service, n.e.c."
c: 794 -1 "Attendants--recreation and amusement"
c: 796 -1 "Bootblacks"
c: 798 -1 "Ushers--amusement place or assembly"
c: 844 -1 "Farm foremen"
c: 866 -1 "Farm laborers--wage workers"
c: 888 -1 "Farm laborers--unpaid family workers"
c: 900 -1 "Fishermen and oystermen"
c: 902 -1 "Garage laborers and car washers and greasers"
c: 904 -1 "Gardeners--except farm and groundskeepers"
c: 906 -1 "Longshoremen and stevedores"
c: 908 -1 "Lumbermen, raftsmen, and woodchoppers"
c: 910 -1 "Teamsters"
c: 988 -1 "Laborers, n.e.c."
c: 998 -1 "Nonclassifiable occupation"
c: 999 -1 "N/A"
I: UOCC95 0 999 -1 999 272 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Usual occupation, 1950 basis
s: Usual occupation, 1950 basis
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Accountants and auditors"
c: 1 -1 "Actors and actresses"
c: 2 -1 "Airplane pilots and navigators"
c: 3 -1 "Architects"
c: 4 -1 "Artists and art teachers"
c: 5 -1 "Athletes"
c: 6 -1 "Authors"
c: 7 -1 "Chemists"
c: 8 -1 "Chiropractors"
c: 9 -1 "Clergymen"
c: 10 -1 "College presidents and deans"
c: 12 -1 "Agricultural sciences"
c: 13 -1 "Biological sciences"
c: 14 -1 "Chemistry"
c: 15 -1 "Economics"
c: 16 -1 "Engineering"
c: 17 -1 "Geology and geophysics"
c: 18 -1 "Mathematics"
c: 19 -1 "Medical sciences"
c: 23 -1 "Physics"
c: 24 -1 "Psychology"
c: 25 -1 "Statistics"
c: 26 -1 "Natural science (n.e.c.)"
c: 27 -1 "Social sciences (n.e.c.)"
c: 28 -1 "Nonscientific subjects"
c: 29 -1 "Professors and instructors, subject not specified"
c: 31 -1 "Dancers and dancing teachers"
c: 32 -1 "Dentists"
c: 33 -1 "Designers"
c: 34 -1 "Dieticians and nutritionists"
c: 35 -1 "Draftsmen"
c: 36 -1 "Editors and reporters"
c: 41 -1 "Engineers, aeronautical"
c: 42 -1 "Engineers, chemical"
c: 43 -1 "Engineers, civil"
c: 44 -1 "Engineers, electrical"
c: 45 -1 "Engineers, industrial"
c: 46 -1 "Engineers, mechanical"
c: 47 -1 "Engineers, metallurgical, metallurgists"
c: 48 -1 "Engineers, mining"
c: 49 -1 "Engineers (n.e.c.)"
c: 51 -1 "Entertainers (n.e.c.)"
c: 52 -1 "Farm and home management advisors"
c: 53 -1 "Foresters and conservationists"
c: 54 -1 "Funeral directors and embalmers"
c: 55 -1 "Lawyers and judges"
c: 56 -1 "Librarians"
c: 57 -1 "Musicians and music teachers"
c: 58 -1 "Nurses, professional"
c: 59 -1 "Nurses, student professional"
c: 61 -1 "Agricultural scientists"
c: 62 -1 "Biological scientists"
c: 63 -1 "Geologists and geophysicists"
c: 67 -1 "Mathematicians"
c: 68 -1 "Physicists"
c: 69 -1 "Miscellaneous natural scientists"
c: 70 -1 "Optometrists"
c: 71 -1 "Osteopaths"
c: 72 -1 "Personnel and labor relations workers"
c: 73 -1 "Pharmacists"
c: 74 -1 "Photographers"
c: 75 -1 "Physicians and surgeons"
c: 76 -1 "Radio operators"
c: 77 -1 "Recreation and group workers"
c: 78 -1 "Religious workers"
c: 79 -1 "Social and welfare workers, except group"
c: 81 -1 "Economists"
c: 82 -1 "Psychologists"
c: 83 -1 "Statisticians and actuaries"
c: 84 -1 "Miscellaneous social scientists"
c: 91 -1 "Sports instructors and officials"
c: 92 -1 "Surveyors"
c: 93 -1 "Teachers (n.e.c.)"
c: 94 -1 "Technicians, medical and dental"
c: 95 -1 "Technicians, testing"
c: 96 -1 "Technicians (n.e.c.)"
c: 97 -1 "Therapists and healers (n.e.c.)"
c: 98 -1 "Veterinarians"
c: 99 -1 "Professional, technical and kindred workers (n.e.c.)"
c: 100 -1 "Farmers (owners and tenants)"
c: 123 -1 "Farm managers"
c: 200 -1 "Buyers and department heads, store"
c: 201 -1 "Buyers and shippers, farm products"
c: 203 -1 "Conductors, railroad"
c: 204 -1 "Credit men"
c: 205 -1 "Floormen and floor managers, store"
c: 210 -1 "Inspectors, public administration"
c: 230 -1 "Managers and superintendents, building"
c: 240 -1 "Officers, pilots, pursers and engineers, ship"
c: 250 -1 "Officials and administrators (n.e.c.), public administration"
c: 260 -1 "Officials, lodge, society, union, etc."
c: 270 -1 "Postmasters"
c: 280 -1 "Purchasing agents and buyers (n.e.c.)"
c: 290 -1 "Managers, officials, and proprietors (n.e.c.)"
c: 300 -1 "Agents (n.e.c.)"
c: 301 -1 "Attendants and assistants, library"
c: 302 -1 "Attendants, physician''s and dentist''s office"
c: 304 -1 "Baggagemen, transportation"
c: 305 -1 "Bank tellers"
c: 310 -1 "Bookkeepers"
c: 320 -1 "Cashiers"
c: 321 -1 "Collectors, bill and account"
c: 322 -1 "Dispatchers and starters, vehicle"
c: 325 -1 "Express messengers and railway mail clerks"
c: 335 -1 "Mail carriers"
c: 340 -1 "Messengers and office boys"
c: 341 -1 "Office machine operators"
c: 342 -1 "Shipping and receiving clerks"
c: 350 -1 "Stenographers, typists, and secretaries"
c: 360 -1 "Telegraph messengers"
c: 365 -1 "Telegraph operators"
c: 370 -1 "Telephone operators"
c: 380 -1 "Ticket, station, and express agents"
c: 390 -1 "Clerical and kindred workers (n.e.c.)"
c: 400 -1 "Advertising agents and salesmen"
c: 410 -1 "Auctioneers"
c: 420 -1 "Demonstrators"
c: 430 -1 "Hucksters and peddlers"
c: 450 -1 "Insurance agents and brokers"
c: 460 -1 "Newsboys"
c: 470 -1 "Real estate agents and brokers"
c: 480 -1 "Stock and bond salesmen"
c: 490 -1 "Salesmen and sales clerks (n.e.c.)"
c: 500 -1 "Bakers"
c: 501 -1 "Blacksmiths"
c: 502 -1 "Bookbinders"
c: 503 -1 "Boilermakers"
c: 504 -1 "Brickmasons, stonemasons, and tile setters"
c: 505 -1 "Cabinetmakers"
c: 510 -1 "Carpenters"
c: 511 -1 "Cement and concrete finishers"
c: 512 -1 "Compositors and typesetters"
c: 513 -1 "Cranemen, derrickmen, and hoistmen"
c: 514 -1 "Decorators and window dressers"
c: 515 -1 "Electricians"
c: 520 -1 "Electrotypers and stereotypers"
c: 521 -1 "Engravers, except photoengravers"
c: 522 -1 "Excavating, grading, and road machinery operators"
c: 523 -1 "Foremen (n.e.c.)"
c: 524 -1 "Forgemen and hammermen"
c: 525 -1 "Furriers"
c: 530 -1 "Glaziers"
c: 531 -1 "Heat treaters, annealers, temperers"
c: 532 -1 "Inspectors, scalers, and graders, log and lumber"
c: 533 -1 "Inspectors (n.e.c.)"
c: 534 -1 "Jewelers, watchmakers, goldsmiths, and silversmiths"
c: 535 -1 "Job setters, metal"
c: 540 -1 "Linemen and servicemen, telegraph, telephone, and power"
c: 541 -1 "Locomotive engineers"
c: 542 -1 "Locomotive firemen"
c: 543 -1 "Loom fixers"
c: 544 -1 "Machinists"
c: 545 -1 "Mechanics and repairmen, airplane"
c: 550 -1 "Mechanics and repairmen, automobile"
c: 551 -1 "Mechanics and repairmen, office machine"
c: 552 -1 "Mechanics and repairmen, radio and television"
c: 553 -1 "Mechanics and repairmen, railroad and car shop"
c: 554 -1 "Mechanics and repairmen (n.e.c.)"
c: 555 -1 "Millers, grain, flour, feed, etc."
c: 560 -1 "Millwrights"
c: 561 -1 "Molders, metal"
c: 562 -1 "Motion picture projectionists"
c: 563 -1 "Opticians and lens grinders and polishers"
c: 564 -1 "Painters, construction and maintenance"
c: 565 -1 "Paperhangers"
c: 570 -1 "Pattern and model makers, except paper"
c: 571 -1 "Photoengravers and lithographers"
c: 572 -1 "Piano and organ tuners and repairmen"
c: 573 -1 "Plasterers"
c: 574 -1 "Plumbers and pipe fitters"
c: 575 -1 "Pressmen and plate printers, printing"
c: 580 -1 "Rollers and roll hands, metal"
c: 581 -1 "Roofers and slaters"
c: 582 -1 "Shoemakers and repairers, except factory"
c: 583 -1 "Stationary engineers"
c: 584 -1 "Stone cutters and stone carvers"
c: 585 -1 "Structural metal workers"
c: 590 -1 "Tailors and tailoresses"
c: 591 -1 "Tinsmiths, coppersmiths, and sheet metal workers"
c: 592 -1 "Tool makers, and die makers and setters"
c: 593 -1 "Upholsterers"
c: 594 -1 "Craftsmen and kindred workers (n.e.c.)"
c: 595 -1 "Members of the armed services"
c: 600 -1 "Apprentice auto mechanics"
c: 601 -1 "Apprentice bricklayers and masons"
c: 602 -1 "Apprentice carpenters"
c: 603 -1 "Apprentice electricians"
c: 604 -1 "Apprentice machinists and toolmakers"
c: 605 -1 "Apprentice mechanics, except auto"
c: 610 -1 "Apprentice plumbers and pipe fitters"
c: 611 -1 "Apprentices, building trades (n.e.c.)"
c: 612 -1 "Apprentices, metalworking trades (n.e.c.)"
c: 613 -1 "Apprentices, printing trades"
c: 614 -1 "Apprentices, other specified trades"
c: 615 -1 "Apprentices, trade not specified"
c: 620 -1 "Asbestos and insulation workers"
c: 621 -1 "Attendants, auto service and parking"
c: 622 -1 "Blasters and powdermen"
c: 623 -1 "Boatmen, canalmen, and lock keepers"
c: 624 -1 "Brakemen, railroad"
c: 625 -1 "Bus drivers"
c: 630 -1 "Chainmen, rodmen, and axmen, surveying"
c: 631 -1 "Conductors, bus and street railway"
c: 632 -1 "Deliverymen and routemen"
c: 633 -1 "Dressmakers and seamstresses, except factory"
c: 634 -1 "Dyers"
c: 635 -1 "Filers, grinders, and polishers, metal"
c: 640 -1 "Fruit, nut, and vegetable graders, and packers, except facto"
c: 641 -1 "Furnacemen, smeltermen and pourers"
c: 642 -1 "Heaters, metal"
c: 643 -1 "Laundry and dry cleaning operatives"
c: 644 -1 "Meat cutters, except slaughter and packing house"
c: 645 -1 "Milliners"
c: 650 -1 "Mine operatives and laborers"
c: 660 -1 "Motormen, mine, factory, logging camp, etc."
c: 661 -1 "Motormen, street, subway, and elevated railway"
c: 662 -1 "Oilers and greaser, except auto"
c: 670 -1 "Painters, except construction or maintenance"
c: 671 -1 "Photographic process workers"
c: 672 -1 "Power station operators"
c: 673 -1 "Sailors and deck hands"
c: 674 -1 "Sawyers"
c: 675 -1 "Spinners, textile"
c: 680 -1 "Stationary firemen"
c: 681 -1 "Switchmen, railroad"
c: 682 -1 "Taxicab drivers and chauffers"
c: 683 -1 "Truck and tractor drivers"
c: 684 -1 "Weavers, textile"
c: 685 -1 "Welders and flame cutters"
c: 690 -1 "Operative and kindred workers (n.e.c.)"
c: 700 -1 "Housekeepers, private household"
c: 710 -1 "Laundressses, private household"
c: 720 -1 "Private household workers (n.e.c.)"
c: 730 -1 "Attendants, hospital and other institution"
c: 731 -1 "Attendants, professional and personal service (n.e.c.)"
c: 732 -1 "Attendants, recreation and amusement"
c: 740 -1 "Barbers, beauticians, and manicurists"
c: 750 -1 "Bartenders"
c: 751 -1 "Bootblacks"
c: 752 -1 "Boarding and lodging house keepers"
c: 753 -1 "Charwomen and cleaners"
c: 754 -1 "Cooks, except private household"
c: 760 -1 "Counter and fountain workers"
c: 761 -1 "Elevator operators"
c: 762 -1 "Firemen, fire protection"
c: 763 -1 "Guards, watchmen, and doorkeepers"
c: 764 -1 "Housekeepers and stewards, except private household"
c: 770 -1 "Janitors and sextons"
c: 771 -1 "Marshals and constables"
c: 772 -1 "Midwives"
c: 773 -1 "Policemen and detectives"
c: 780 -1 "Porters"
c: 781 -1 "Practical nurses"
c: 782 -1 "Sheriffs and bailiffs"
c: 783 -1 "Ushers, recreation and amusement"
c: 784 -1 "Waiters and waitresses"
c: 785 -1 "Watchmen (crossing) and bridge tenders"
c: 790 -1 "Service workers, except private household (n.e.c.)"
c: 810 -1 "Farm foremen"
c: 820 -1 "Farm laborers, wage workers"
c: 830 -1 "Farm laborers, unpaid family workers"
c: 840 -1 "Farm service laborers, self-employed"
c: 910 -1 "Fishermen and oystermen"
c: 920 -1 "Garage laborers and car washers and greasers"
c: 930 -1 "Gardeners, except farm, and groundskeepers"
c: 940 -1 "Longshoremen and stevedores"
c: 950 -1 "Lumbermen, raftsmen, and woodchoppers"
c: 960 -1 "Teamsters"
c: 970 -1 "Laborers (n.e.c.)"
c: 975 -1 "Employed, unclassifiable"
c: 997 -1 "Occupation missing/unknown"
c: 999 -1 "N/A"
I: UIND 1 999 -1 999 275 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Usual industry
s: Usual industry
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Agriculture"
c: 2 -1 "Forestry except logging"
c: 3 -1 "Fishery"
c: 4 -1 "Coal mining"
c: 5 -1 "Metal mining"
c: 6 -1 "Crude petroleum and natural gas production, including natura"
c: 7 -1 "Sand and gravel production"
c: 8 -1 "Stone quarrying"
c: 9 -1 "Miscellaneous nonmetallic mining"
c: 10 -1 "Mining, n.s."
c: 11 -1 "All construction"
c: 12 -1 "Bakery products"
c: 13 -1 "Beverage industries"
c: 14 -1 "Canning and preserving fruits, vegetables, and sea food"
c: 15 -1 "Confectionery"
c: 16 -1 "Dairy products"
c: 17 -1 "Grain-mill products"
c: 18 -1 "Meat products"
c: 19 -1 "Miscellaneous food industries"
c: 20 -1 "Tobacco manufactures"
c: 21 -1 "Cotton manufactures"
c: 22 -1 "Silk and rayon manufactures"
c: 23 -1 "Woolen and worsted manufactures"
c: 24 -1 "Knit goods"
c: 25 -1 "Dyeing and finishing textiles"
c: 26 -1 "Carpets, rugs, and other floor coverings"
c: 27 -1 "Hats except cloth and millinery"
c: 28 -1 "Miscellaneous textile goods"
c: 29 -1 "Textile mills, n.s."
c: 30 -1 "Apparel and accessories"
c: 31 -1 "Miscellaneous fabricated textile products"
c: 32 -1 "Logging"
c: 33 -1 "Sawmills and planing mills"
c: 34 -1 "Furniture and store fixtures"
c: 35 -1 "Miscellaneous wooden goods"
c: 36 -1 "Pulp, paper, and paperboard mills"
c: 37 -1 "Paperboard containers and boxes"
c: 38 -1 "Miscellaneous paper and pulp products"
c: 39 -1 "Printing, publishing, and allied industries"
c: 40 -1 "Paints, varnishes, and colors"
c: 41 -1 "Rayon and allied products"
c: 42 -1 "Miscellaneous chemical industries"
c: 43 -1 "Petroleum refining"
c: 44 -1 "Miscellaneous petroleum and coal products"
c: 45 -1 "Rubber products"
c: 46 -1 "Leather (tanned, curried, and finished)"
c: 47 -1 "Footwear industries except rubber"
c: 48 -1 "Leather products except footwear"
c: 49 -1 "Cement, and concrete, gypsum, and plaster products"
c: 50 -1 "Cut-stone and stone products"
c: 51 -1 "Glass and glass products"
c: 52 -1 "Pottery and related products"
c: 53 -1 "Structural clay products"
c: 54 -1 "Miscellaneous nonmetallic mineral products"
c: 55 -1 "Blast furnaces, steel works, and rolling mills"
c: 56 -1 "Tin cans and other tinware"
c: 57 -1 "Miscellaneous iron and steel industries"
c: 58 -1 "Nonferrous metal primary products"
c: 59 -1 "Clocks, watches, jewelry, and silverware, including metal en"
c: 60 -1 "Miscellaneous nonferrous metal products"
c: 61 -1 "Agricultural machinery and tractors"
c: 62 -1 "Electrical machinery and equipment"
c: 63 -1 "Office and store machines, equipment, and supplies"
c: 64 -1 "Miscellaneous machinery"
c: 65 -1 "Aircraft and parts"
c: 66 -1 "Automobiles and automobile equipment"
c: 67 -1 "Ship and boat building and repairing"
c: 68 -1 "Railroad and miscellaneous transportation equipment"
c: 69 -1 "Metal industries, n.s."
c: 70 -1 "Scientific and photographic equipment and supplies"
c: 71 -1 "Miscellaneous manufacturing industries n.e.c."
c: 72 -1 "Manufacturing industries, n.s."
c: 73 -1 "Air transportation"
c: 74 -1 "Petroleum and gasoline pipe lines"
c: 75 -1 "Railroads, including railroad repair shops"
c: 76 -1 "Railway express service"
c: 77 -1 "Street railways and bus lines, including suburban and interu"
c: 78 -1 "Taxicab service"
c: 79 -1 "Trucking service"
c: 80 -1 "Water transportation"
c: 81 -1 "Warehousing and storage"
c: 82 -1 "Services incidental to transportation"
c: 83 -1 "Transportation, n.s."
c: 84 -1 "Telephone -- wire and radio"
c: 85 -1 "Telegraph -- wire and radio"
c: 86 -1 "Radio broadcasting and television"
c: 87 -1 "Electric light and power"
c: 88 -1 "Gas works and steam plants"
c: 89 -1 "Water and sanitary services"
c: 90 -1 "Wholesale trade"
c: 91 -1 "Food stores, except dairy products"
c: 92 -1 "Dairy products stores and milk retailing"
c: 93 -1 "General merchandise stores"
c: 94 -1 "Limited price variety stores"
c: 95 -1 "Apparel and accessories stores, except shoes"
c: 96 -1 "Shoe stores"
c: 97 -1 "Furniture and housefurnishings stores"
c: 98 -1 "Household appliance and radio stores"
c: 99 -1 "Motor vehicles and accessories retailing"
c: 100 -1 "Filling stations"
c: 101 -1 "Drug stores"
c: 102 -1 "Eating and drinking places"
c: 103 -1 "Hardware and farm implement stores"
c: 104 -1 "Lumber and building material retailing"
c: 105 -1 "Liquor stores"
c: 106 -1 "Retail florists"
c: 107 -1 "Jewelry stores"
c: 108 -1 "Fuel and ice retailing"
c: 109 -1 "Miscellaneous retail stores"
c: 110 -1 "Retail trade, n.s. (may include some returns not specified a"
c: 111 -1 "Banking and other finance"
c: 112 -1 "Insurance"
c: 113 -1 "Real estate"
c: 114 -1 "Advertising"
c: 115 -1 "Business services, except advertising"
c: 116 -1 "Automobile storage, rental, and repair services"
c: 117 -1 "Miscellaneous repair services and hand trades"
c: 118 -1 "Domestic service"
c: 119 -1 "Hotels and lodging places"
c: 120 -1 "Laundering, cleaning, and dyeing services"
c: 121 -1 "Miscellaneous personal services"
c: 122 -1 "Theaters and motion pictures"
c: 123 -1 "Miscellaneous amusement and recreation"
c: 124 -1 "Educational services"
c: 125 -1 "Medical and other health services"
c: 126 -1 "Legal, engineering, and miscellaneous professional services"
c: 127 -1 "Charitable, religious, and membership organizations"
c: 128 -1 "Postal service"
c: 129 -1 "National defense"
c: 130 -1 "Federal government n.e.c."
c: 131 -1 "State and local government"
c: 998 -1 "Nonclassifiable"
c: 999 -1 "N/A: under 14 years old, not in labor force, and institution"
I: UCLASSWK 0 7 -1 7 278 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Usual class of worker
s: Usual class of worker
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Self-employed"
c: 2 -1 "Employer"
c: 3 -1 "Wage/salary, private work"
c: 4 -1 "Wage/salary, gov''t work"
c: 6 -1 "Unpaid family worker"
c: 7 -1 "No usual occupation"
I: ROCC 0 999 -1 999 279 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Occupation, labor reserve
s: Occupation, labor reserve
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Accountants and auditors"
c: 1 -1 "Actors and actresses"
c: 2 -1 "Airplane pilots and navigators"
c: 3 -1 "Architects"
c: 4 -1 "Artists and art teachers"
c: 5 -1 "Athletes"
c: 6 -1 "Authors"
c: 7 -1 "Chemists"
c: 8 -1 "Chiropractors"
c: 9 -1 "Clergymen"
c: 10 -1 "College presidents and deans"
c: 12 -1 "Agricultural sciences"
c: 13 -1 "Biological sciences"
c: 14 -1 "Chemistry"
c: 15 -1 "Economics"
c: 16 -1 "Engineering"
c: 17 -1 "Geology and geophysics"
c: 18 -1 "Mathematics"
c: 19 -1 "Medical sciences"
c: 23 -1 "Physics"
c: 24 -1 "Psychology"
c: 25 -1 "Statistics"
c: 26 -1 "Natural science (n.e.c.)"
c: 27 -1 "Social sciences (n.e.c.)"
c: 28 -1 "Nonscientific subjects"
c: 29 -1 "Professors and instructors, subject not specified"
c: 31 -1 "Dancers and dancing teachers"
c: 32 -1 "Dentists"
c: 33 -1 "Designers"
c: 34 -1 "Dieticians and nutritionists"
c: 35 -1 "Draftsmen"
c: 36 -1 "Editors and reporters"
c: 41 -1 "Engineers, aeronautical"
c: 42 -1 "Engineers, chemical"
c: 43 -1 "Engineers, civil"
c: 44 -1 "Engineers, electrical"
c: 45 -1 "Engineers, industrial"
c: 46 -1 "Engineers, mechanical"
c: 47 -1 "Engineers, metallurgical, metallurgists"
c: 48 -1 "Engineers, mining"
c: 49 -1 "Engineers (n.e.c.)"
c: 51 -1 "Entertainers (n.e.c.)"
c: 52 -1 "Farm and home management advisors"
c: 53 -1 "Foresters and conservationists"
c: 54 -1 "Funeral directors and embalmers"
c: 55 -1 "Lawyers and judges"
c: 56 -1 "Librarians"
c: 57 -1 "Musicians and music teachers"
c: 58 -1 "Nurses, professional"
c: 59 -1 "Nurses, student professional"
c: 61 -1 "Agricultural scientists"
c: 62 -1 "Biological scientists"
c: 63 -1 "Geologists and geophysicists"
c: 67 -1 "Mathematicians"
c: 68 -1 "Physicists"
c: 69 -1 "Miscellaneous natural scientists"
c: 70 -1 "Optometrists"
c: 71 -1 "Osteopaths"
c: 72 -1 "Personnel and labor relations workers"
c: 73 -1 "Pharmacists"
c: 74 -1 "Photographers"
c: 75 -1 "Physicians and surgeons"
c: 76 -1 "Radio operators"
c: 77 -1 "Recreation and group workers"
c: 78 -1 "Religious workers"
c: 79 -1 "Social and welfare workers, except group"
c: 81 -1 "Economists"
c: 82 -1 "Psychologists"
c: 83 -1 "Statisticians and actuaries"
c: 84 -1 "Miscellaneous social scientists"
c: 91 -1 "Sports instructors and officials"
c: 92 -1 "Surveyors"
c: 93 -1 "Teachers (n.e.c.)"
c: 94 -1 "Technicians, medical and dental"
c: 95 -1 "Technicians, testing"
c: 96 -1 "Technicians (n.e.c.)"
c: 97 -1 "Therapists and healers (n.e.c.)"
c: 98 -1 "Veterinarians"
c: 99 -1 "Professional, technical and kindred workers (n.e.c.)"
c: 100 -1 "Farmers (owners and tenants)"
c: 123 -1 "Farm managers"
c: 200 -1 "Buyers and department heads, store"
c: 201 -1 "Buyers and shippers, farm products"
c: 203 -1 "Conductors, railroad"
c: 204 -1 "Credit men"
c: 205 -1 "Floormen and floor managers, store"
c: 210 -1 "Inspectors, public administration"
c: 230 -1 "Managers and superintendents, building"
c: 240 -1 "Officers, pilots, pursers and engineers, ship"
c: 250 -1 "Officials and administrators (n.e.c.), public administration"
c: 260 -1 "Officials, lodge, society, union, etc."
c: 270 -1 "Postmasters"
c: 280 -1 "Purchasing agents and buyers (n.e.c.)"
c: 290 -1 "Managers, officials, and proprietors (n.e.c.)"
c: 300 -1 "Agents (n.e.c.)"
c: 301 -1 "Attendants and assistants, library"
c: 302 -1 "Attendants, physician''s and dentist''s office"
c: 304 -1 "Baggagemen, transportation"
c: 305 -1 "Bank tellers"
c: 310 -1 "Bookkeepers"
c: 320 -1 "Cashiers"
c: 321 -1 "Collectors, bill and account"
c: 322 -1 "Dispatchers and starters, vehicle"
c: 325 -1 "Express messengers and railway mail clerks"
c: 335 -1 "Mail carriers"
c: 340 -1 "Messengers and office boys"
c: 341 -1 "Office machine operators"
c: 342 -1 "Shipping and receiving clerks"
c: 350 -1 "Stenographers, typists, and secretaries"
c: 360 -1 "Telegraph messengers"
c: 365 -1 "Telegraph operators"
c: 370 -1 "Telephone operators"
c: 380 -1 "Ticket, station, and express agents"
c: 390 -1 "Clerical and kindred workers (n.e.c.)"
c: 400 -1 "Advertising agents and salesmen"
c: 410 -1 "Auctioneers"
c: 420 -1 "Demonstrators"
c: 430 -1 "Hucksters and peddlers"
c: 450 -1 "Insurance agents and brokers"
c: 460 -1 "Newsboys"
c: 470 -1 "Real estate agents and brokers"
c: 480 -1 "Stock and bond salesmen"
c: 490 -1 "Salesmen and sales clerks (n.e.c.)"
c: 500 -1 "Bakers"
c: 501 -1 "Blacksmiths"
c: 502 -1 "Bookbinders"
c: 503 -1 "Boilermakers"
c: 504 -1 "Brickmasons, stonemasons, and tile setters"
c: 505 -1 "Cabinetmakers"
c: 510 -1 "Carpenters"
c: 511 -1 "Cement and concrete finishers"
c: 512 -1 "Compositors and typesetters"
c: 513 -1 "Cranemen, derrickmen, and hoistmen"
c: 514 -1 "Decorators and window dressers"
c: 515 -1 "Electricians"
c: 520 -1 "Electrotypers and stereotypers"
c: 521 -1 "Engravers, except photoengravers"
c: 522 -1 "Excavating, grading, and road machinery operators"
c: 523 -1 "Foremen (n.e.c.)"
c: 524 -1 "Forgemen and hammermen"
c: 525 -1 "Furriers"
c: 530 -1 "Glaziers"
c: 531 -1 "Heat treaters, annealers, temperers"
c: 532 -1 "Inspectors, scalers, and graders, log and lumber"
c: 533 -1 "Inspectors (n.e.c.)"
c: 534 -1 "Jewelers, watchmakers, goldsmiths, and silversmiths"
c: 535 -1 "Job setters, metal"
c: 540 -1 "Linemen and servicemen, telegraph, telephone, and power"
c: 541 -1 "Locomotive engineers"
c: 542 -1 "Locomotive firemen"
c: 543 -1 "Loom fixers"
c: 544 -1 "Machinists"
c: 545 -1 "Mechanics and repairmen, airplane"
c: 550 -1 "Mechanics and repairmen, automobile"
c: 551 -1 "Mechanics and repairmen, office machine"
c: 552 -1 "Mechanics and repairmen, radio and television"
c: 553 -1 "Mechanics and repairmen, railroad and car shop"
c: 554 -1 "Mechanics and repairmen (n.e.c.)"
c: 555 -1 "Millers, grain, flour, feed, etc."
c: 560 -1 "Millwrights"
c: 561 -1 "Molders, metal"
c: 562 -1 "Motion picture projectionists"
c: 563 -1 "Opticians and lens grinders and polishers"
c: 564 -1 "Painters, construction and maintenance"
c: 565 -1 "Paperhangers"
c: 570 -1 "Pattern and model makers, except paper"
c: 571 -1 "Photoengravers and lithographers"
c: 572 -1 "Piano and organ tuners and repairmen"
c: 573 -1 "Plasterers"
c: 574 -1 "Plumbers and pipe fitters"
c: 575 -1 "Pressmen and plate printers, printing"
c: 580 -1 "Rollers and roll hands, metal"
c: 581 -1 "Roofers and slaters"
c: 582 -1 "Shoemakers and repairers, except factory"
c: 583 -1 "Stationary engineers"
c: 584 -1 "Stone cutters and stone carvers"
c: 585 -1 "Structural metal workers"
c: 590 -1 "Tailors and tailoresses"
c: 591 -1 "Tinsmiths, coppersmiths, and sheet metal workers"
c: 592 -1 "Tool makers, and die makers and setters"
c: 593 -1 "Upholsterers"
c: 594 -1 "Craftsmen and kindred workers (n.e.c.)"
c: 595 -1 "Members of the armed services"
c: 600 -1 "Apprentice auto mechanics"
c: 601 -1 "Apprentice bricklayers and masons"
c: 602 -1 "Apprentice carpenters"
c: 603 -1 "Apprentice electricians"
c: 604 -1 "Apprentice machinists and toolmakers"
c: 605 -1 "Apprentice mechanics, except auto"
c: 610 -1 "Apprentice plumbers and pipe fitters"
c: 611 -1 "Apprentices, building trades (n.e.c.)"
c: 612 -1 "Apprentices, metalworking trades (n.e.c.)"
c: 613 -1 "Apprentices, printing trades"
c: 614 -1 "Apprentices, other specified trades"
c: 615 -1 "Apprentices, trade not specified"
c: 620 -1 "Asbestos and insulation workers"
c: 621 -1 "Attendants, auto service and parking"
c: 622 -1 "Blasters and powdermen"
c: 623 -1 "Boatmen, canalmen, and lock keepers"
c: 624 -1 "Brakemen, railroad"
c: 625 -1 "Bus drivers"
c: 630 -1 "Chainmen, rodmen, and axmen, surveying"
c: 631 -1 "Conductors, bus and street railway"
c: 632 -1 "Deliverymen and routemen"
c: 633 -1 "Dressmakers and seamstresses, except factory"
c: 634 -1 "Dyers"
c: 635 -1 "Filers, grinders, and polishers, metal"
c: 640 -1 "Fruit, nut, and vegetable graders, and packers, except facto"
c: 641 -1 "Furnacemen, smeltermen and pourers"
c: 642 -1 "Heaters, metal"
c: 643 -1 "Laundry and dry cleaning operatives"
c: 644 -1 "Meat cutters, except slaughter and packing house"
c: 645 -1 "Milliners"
c: 650 -1 "Mine operatives and laborers"
c: 660 -1 "Motormen, mine, factory, logging camp, etc."
c: 661 -1 "Motormen, street, subway, and elevated railway"
c: 662 -1 "Oilers and greaser, except auto"
c: 670 -1 "Painters, except construction or maintenance"
c: 671 -1 "Photographic process workers"
c: 672 -1 "Power station operators"
c: 673 -1 "Sailors and deck hands"
c: 674 -1 "Sawyers"
c: 675 -1 "Spinners, textile"
c: 680 -1 "Stationary firemen"
c: 681 -1 "Switchmen, railroad"
c: 682 -1 "Taxicab drivers and chauffeurs"
c: 683 -1 "Truck and tractor drivers"
c: 684 -1 "Weavers, textile"
c: 685 -1 "Welders and flame cutters"
c: 690 -1 "Operative and kindred workers (n.e.c.)"
c: 700 -1 "Housekeepers, private household"
c: 710 -1 "Laundressses, private household"
c: 720 -1 "Private household workers (n.e.c.)"
c: 725 -1 "[holding category for 1860/70 'domestics']"
c: 730 -1 "Attendants, hospital and other institution"
c: 731 -1 "Attendants, professional and personal service (n.e.c.)"
c: 732 -1 "Attendants, recreation and amusement"
c: 740 -1 "Barbers, beauticians, and manicurists"
c: 750 -1 "Bartenders"
c: 751 -1 "Bootblacks"
c: 752 -1 "Boarding and lodging house keepers"
c: 753 -1 "Charwomen and cleaners"
c: 754 -1 "Cooks, except private household"
c: 760 -1 "Counter and fountain workers"
c: 761 -1 "Elevator operators"
c: 762 -1 "Firemen, fire protection"
c: 763 -1 "Guards, watchmen, and doorkeepers"
c: 764 -1 "Housekeepers and stewards, except private household"
c: 770 -1 "Janitors and sextons"
c: 771 -1 "Marshals and constables"
c: 772 -1 "Midwives"
c: 773 -1 "Policemen and detectives"
c: 780 -1 "Porters"
c: 781 -1 "Practical nurses"
c: 782 -1 "Sheriffs and bailiffs"
c: 783 -1 "Ushers, recreation and amusement"
c: 784 -1 "Waiters and waitresses"
c: 785 -1 "Watchmen (crossing) and bridge tenders"
c: 790 -1 "Service workers, except private household (n.e.c.)"
c: 810 -1 "Farm foremen"
c: 820 -1 "Farm laborers, wage workers"
c: 830 -1 "Farm laborers, unpaid family workers"
c: 840 -1 "Farm service laborers, self-employed"
c: 910 -1 "Fishermen and oystermen"
c: 920 -1 "Garage laborers and car washers and greasers"
c: 930 -1 "Gardeners, except farm, and groundskeepers"
c: 940 -1 "Longshoremen and stevedores"
c: 950 -1 "Lumbermen, raftsmen, and woodchoppers"
c: 960 -1 "Teamsters"
c: 970 -1 "Laborers (n.e.c.)"
c: 975 -1 "Employed, unclassifiable"
c: 997 -1 "Occupation missing/unknown"
c: 998 -1 "Illegible"
c: 999 -1 "N/A"
I: RIND 0 998 -1 998 282 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Industry, labor reserve
s: Industry, labor reserve
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 105 -1 "Agriculture"
c: 116 -1 "Forestry"
c: 126 -1 "Fisheries"
c: 206 -1 "Metal mining"
c: 216 -1 "Coal mining"
c: 226 -1 "Crude petroleum and natural gas extraction"
c: 236 -1 "Nonmettalic  mining and quarrying, except fuel"
c: 246 -1 "Construction"
c: 306 -1 "Logging"
c: 307 -1 "Sawmills, planing mills, and mill work"
c: 308 -1 "Misc wood products"
c: 309 -1 "Furniture and fixtures"
c: 316 -1 "Glass and glass products"
c: 317 -1 "Cement, concrete, gypsum and plaster products"
c: 318 -1 "Structural clay products"
c: 319 -1 "Pottery and related prods"
c: 326 -1 "Misc nonmetallic mineral and stone products"
c: 336 -1 "Blast furnaces, steel works, and rolling mills"
c: 337 -1 "Other primary iron and steel industries"
c: 338 -1 "Primary nonferrous industries"
c: 346 -1 "Fabricated steel products"
c: 347 -1 "Fabricated nonferrous metal products"
c: 348 -1 "Not specified metal industries"
c: 356 -1 "Agricultural machinery and tractors"
c: 357 -1 "Office and store machines"
c: 358 -1 "Misc machinery"
c: 367 -1 "Electrical machinery, equipment and supplies"
c: 376 -1 "Motor vehicles and motor vehicle equipment"
c: 377 -1 "Aircraft and parts"
c: 378 -1 "Ship and boat building and repairing"
c: 379 -1 "Railroad and misc transportation equipment"
c: 386 -1 "Professional equipment"
c: 387 -1 "Photographic equipment and supplies"
c: 388 -1 "Watches, clocks, and clockwork-operated devices"
c: 399 -1 "Misc manufacturing industries"
c: 406 -1 "Meat products"
c: 407 -1 "Dairy products"
c: 408 -1 "Canning and preserving fruits, vegetables, and seafoods"
c: 409 -1 "Grain-mill products"
c: 416 -1 "Bakery products"
c: 417 -1 "Confectionary and related products"
c: 418 -1 "Beverage industries"
c: 419 -1 "Misc food preparations and kindred products"
c: 426 -1 "Not specified food industries"
c: 429 -1 "Tobacco manufactures"
c: 436 -1 "Knitting mills"
c: 437 -1 "Dyeing and finishing textiles, except knit goods"
c: 438 -1 "Carpets, rugs, and other floor coverings"
c: 439 -1 "Yarn, thread, and fabric"
c: 446 -1 "Misc textile mill products"
c: 448 -1 "Apparel and accessories"
c: 449 -1 "Misc fabricated textile products"
c: 456 -1 "Pulp, paper, and paper-board mills"
c: 457 -1 "Paperboard containers and boxes"
c: 458 -1 "Misc paper and pulp products"
c: 459 -1 "Printing, publishing, and allied industries"
c: 466 -1 "Synthetic fibers"
c: 467 -1 "Drugs and medicines"
c: 468 -1 "Paints, varnishes, and related products"
c: 469 -1 "Misc chemicals and allied products"
c: 476 -1 "Petroleum refining"
c: 477 -1 "Misc petroleum and coal products"
c: 478 -1 "Rubber products"
c: 487 -1 "Leather: tanned, curried, and finished"
c: 488 -1 "Footwear, except rubber"
c: 489 -1 "Leather products, except footwear"
c: 499 -1 "Not specified manufacturing industries"
c: 506 -1 "Railroads and railway"
c: 516 -1 "Street railways and bus lines"
c: 526 -1 "Trucking service"
c: 527 -1 "Warehousing and storage"
c: 536 -1 "Taxicab service"
c: 546 -1 "Water transportation"
c: 556 -1 "Air transportation"
c: 567 -1 "Petroleum and gasoline pipe lines"
c: 568 -1 "Services incidental to transportation"
c: 578 -1 "Telephone"
c: 579 -1 "Telegraph"
c: 586 -1 "Electric light and power"
c: 587 -1 "Gas and steam supply systems"
c: 588 -1 "Electric-gas utilities"
c: 596 -1 "Water supply"
c: 597 -1 "Sanitary services"
c: 598 -1 "Other and not specified utilities"
c: 606 -1 "Motor vehicles and equipment"
c: 607 -1 "Drugs, chemicals, and allied products"
c: 608 -1 "Dry goods apparel"
c: 609 -1 "Food and related products"
c: 616 -1 "Electrical goods, hardware, and plumbing equipment"
c: 617 -1 "Machinery, equipment, and supplies"
c: 618 -1 "Petroleum products"
c: 619 -1 "Farm prods--raw materials"
c: 626 -1 "Misc wholesale trade"
c: 627 -1 "Not specified wholesale trade"
c: 636 -1 "Food stores, except dairy"
c: 637 -1 "Dairy prods stores and milk retailing"
c: 646 -1 "General merchandise"
c: 647 -1 "Five and ten cent stores"
c: 656 -1 "Apparel and accessories stores, except shoe"
c: 657 -1 "Shoe stores"
c: 658 -1 "Furniture and house furnishings stores"
c: 659 -1 "Household appliance and radio stores"
c: 667 -1 "Motor vehicles and accessories retailing"
c: 668 -1 "Gasoline service stations"
c: 669 -1 "Drug stores"
c: 679 -1 "Eating and drinking  places"
c: 686 -1 "Hardware and farm implement stores"
c: 687 -1 "Lumber and building material retailing"
c: 688 -1 "Liquor stores"
c: 689 -1 "Retail florists"
c: 696 -1 "Jewelry stores"
c: 697 -1 "Fuel and ice retailing"
c: 698 -1 "Misc retail stores"
c: 699 -1 "Not specified retail trade"
c: 716 -1 "Banking and credit"
c: 726 -1 "Security and commodity brokerage and invest companies"
c: 736 -1 "Insurance"
c: 746 -1 "Real estate"
c: 756 -1 "Real estate-insurance-law  offices"
c: 806 -1 "Advertising"
c: 807 -1 "Accounting, auditing, and bookkeeping services"
c: 808 -1 "Misc business services"
c: 816 -1 "Auto repair services and garages"
c: 817 -1 "Misc repair services"
c: 826 -1 "Private households"
c: 836 -1 "Hotels and lodging places"
c: 846 -1 "Laundering, cleaning, and dyeing"
c: 847 -1 "Dressmaking shops"
c: 848 -1 "Shoe repair shops"
c: 849 -1 "Misc personal services"
c: 856 -1 "Radio broadcasting and television"
c: 857 -1 "Theaters and motion pictures"
c: 858 -1 "Bowling alleys, and billiard and pool parlors"
c: 859 -1 "Misc entertainment and recreation services"
c: 868 -1 "Medical and other health services, except hospitals"
c: 869 -1 "Hospitals"
c: 879 -1 "Legal services"
c: 888 -1 "Educational services"
c: 896 -1 "Welfare and religious services"
c: 897 -1 "Nonprofit membership organizs."
c: 898 -1 "Engineering and architectural services"
c: 899 -1 "Misc professional and related"
c: 906 -1 "Postal service"
c: 916 -1 "Federal public administration"
c: 926 -1 "State public administration"
c: 936 -1 "Local public administration"
c: 998 -1 "Industry not reported"
I: RCLASSWK 0 6 -1 6 285 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Class of worker, labor reserve
s: Class of worker, labor reserve
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Self-employed"
c: 3 -1 "Wage/salary, private work"
c: 4 -1 "Wage/salary, gov''t work"
c: 5 -1 "Member armed forces"
c: 6 -1 "Unpaid family worker"
I: HOMEMKR 1 2 -1 2 286 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............x..........................................
l: Designated homemaker
s: Designated homemaker
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Not designated homemaker"
c: 2 -1 "Designated homemaker"
I: HADNAJOB 0 2 -1 2 287 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Had a non-active job last week
s: Had a non-active job last week
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, no job last week"
c: 2 -1 "Yes, had job last week"
I: INCTOT -1 -1 -20000 999999 288 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Total personal income
s: Total personal income
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: INCWAGE -1 -1 -1 999999 294 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Wage and salary income
s: Wage and salary income
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: INCBUSFM -1 -1 -9900 99999 300 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xx.......................................
l: Business and farm income
s: Business and farm income
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: INCNONWG 0 2 -1 2 305 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Had non-wage/salary income over $50
s: Had non-wage/salary income over $50
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Less than $50 nonwage, nonsalary income"
c: 2 -1 "$50+ nonwage, nonsalary income"
I: INCOTHER -1 -1 -8050 99999 306 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Other income
s: Other income
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: REALPROP -1 -1 -1 999999 311 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxx.....................................................
l: Real estate value
s: Real estate value
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: PERSPROP -1 -1 -1 999999 317 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .xxxx.....................................................
l: Value of personal estate
s: Value of personal estate
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: DEDUCTS 0 4 -1 4 323 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Deductions for retirement
s: Deductions for retirement
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No deductions"
c: 2 -1 "Deductions-less than half of wages/salary"
c: 3 -1 "Deductions-more than half, but not all, wages/salary"
c: 4 -1 "Deductions-all wages/salary"
I: POVERTY -1 -1 -1 501 324 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Poverty status
s: Poverty status
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: OCCSCORE 0 80 0 80 327 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Occupational income score
s: Occupational income score
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 ""
c: 3 -1 ""
c: 4 -1 ""
c: 5 -1 ""
c: 6 -1 ""
c: 7 -1 ""
c: 8 -1 ""
c: 9 -1 ""
c: 10 -1 ""
c: 11 -1 ""
c: 12 -1 ""
c: 13 -1 ""
c: 14 -1 ""
c: 15 -1 ""
c: 16 -1 ""
c: 17 -1 ""
c: 18 -1 ""
c: 19 -1 ""
c: 20 -1 ""
c: 21 -1 ""
c: 22 -1 ""
c: 23 -1 ""
c: 24 -1 ""
c: 25 -1 ""
c: 26 -1 ""
c: 27 -1 ""
c: 28 -1 ""
c: 29 -1 ""
c: 30 -1 ""
c: 31 -1 ""
c: 32 -1 ""
c: 33 -1 ""
c: 34 -1 ""
c: 35 -1 ""
c: 36 -1 ""
c: 37 -1 ""
c: 38 -1 ""
c: 39 -1 ""
c: 40 -1 ""
c: 41 -1 ""
c: 42 -1 ""
c: 43 -1 ""
c: 44 -1 ""
c: 45 -1 ""
c: 46 -1 ""
c: 47 -1 ""
c: 48 -1 ""
c: 49 -1 ""
c: 50 -1 ""
c: 52 -1 ""
c: 54 -1 ""
c: 58 -1 ""
c: 60 -1 ""
c: 61 -1 ""
c: 62 -1 ""
c: 63 -1 ""
c: 79 -1 ""
c: 80 -1 ""
I: SEI -1 -1 0 96 329 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Duncan Socioeconomic Index
s: Duncan Socioeconomic Index
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: HWSEI -1 -1 -1 8053 331 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Socioeconomic Index, Hauser and Warren
s: Socioeconomic Index, Hauser and Warren
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: PRESGL -1 -1 -1 815 335 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Occupational prestige score, Siegel
s: Occupational prestige score, Siegel
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: PRENT -1 -1 -1 861 338 3
t: convert_all_categories true
t: new_value_offset -1
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l:  .................xxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Occupational prestige score, Nakao and Treas
s: Occupational prestige score, Nakao and Treas
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: ERSCOR50 -1 -1 -1 9999 341 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxx.x.xxxxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Occupational earnings score, 1950 basis
s: Occupational earnings score, 1950 basis
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: ERSCOR90 -1 -1 -1 9999 345 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Occupational earnings score, 1990 basis
s: Occupational earnings score, 1990 basis
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: EDSCOR50 -1 -1 -1 9999 349 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
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l:  xxxxxxx.xxxx.x.xxxxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Occupational education score, 1950 basis
s: Occupational education score, 1950 basis
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: EDSCOR90 -1 -1 -1 9999 353 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
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l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Occupational education score, 1990 basis
s: Occupational education score, 1990 basis
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: NPBOSS50 0 9999 -1 9999 357 4
t: convert_all_categories true
t: new_value_offset -1
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l:  xxxxxxx.xxxx.x.xxxxxxxxxx...xxxxx..xxxxx..xxx..xxxxxx.x.x.
l: Nam-Powers-Boyd occupational status score, 1950 basis
s: Nam-Powers-Boyd occupational status score, 1950 basis
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c: 784 -1 ""
c: 785 -1 ""
c: 786 -1 ""
c: 787 -1 ""
c: 788 -1 ""
c: 789 -1 ""
c: 790 -1 ""
c: 791 -1 ""
c: 792 -1 ""
c: 793 -1 ""
c: 794 -1 ""
c: 795 -1 ""
c: 796 -1 ""
c: 797 -1 ""
c: 798 -1 ""
c: 799 -1 ""
c: 800 -1 ""
c: 801 -1 ""
c: 802 -1 ""
c: 803 -1 ""
c: 804 -1 ""
c: 805 -1 ""
c: 806 -1 ""
c: 807 -1 ""
c: 808 -1 ""
c: 809 -1 ""
c: 810 -1 ""
c: 811 -1 ""
c: 812 -1 ""
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c: 814 -1 ""
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c: 816 -1 ""
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c: 825 -1 ""
c: 826 -1 ""
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c: 830 -1 ""
c: 831 -1 ""
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c: 839 -1 ""
c: 840 -1 ""
c: 841 -1 ""
c: 842 -1 ""
c: 843 -1 ""
c: 844 -1 ""
c: 845 -1 ""
c: 846 -1 ""
c: 847 -1 ""
c: 848 -1 ""
c: 849 -1 ""
c: 850 -1 ""
c: 851 -1 ""
c: 852 -1 ""
c: 853 -1 ""
c: 854 -1 ""
c: 855 -1 ""
c: 856 -1 ""
c: 857 -1 ""
c: 858 -1 ""
c: 859 -1 ""
c: 860 -1 ""
c: 861 -1 ""
c: 862 -1 ""
c: 863 -1 ""
c: 864 -1 ""
c: 865 -1 ""
c: 866 -1 ""
c: 867 -1 ""
c: 868 -1 ""
c: 869 -1 ""
c: 870 -1 ""
c: 871 -1 ""
c: 872 -1 ""
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c: 875 -1 ""
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c: 878 -1 ""
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c: 880 -1 ""
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c: 883 -1 ""
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c: 887 -1 ""
c: 888 -1 ""
c: 889 -1 ""
c: 890 -1 ""
c: 891 -1 ""
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c: 894 -1 ""
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c: 897 -1 ""
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c: 899 -1 ""
c: 900 -1 ""
c: 901 -1 ""
c: 902 -1 ""
c: 903 -1 ""
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c: 906 -1 ""
c: 907 -1 ""
c: 908 -1 ""
c: 909 -1 ""
c: 910 -1 ""
c: 911 -1 ""
c: 912 -1 ""
c: 913 -1 ""
c: 914 -1 ""
c: 915 -1 ""
c: 916 -1 ""
c: 917 -1 ""
c: 918 -1 ""
c: 919 -1 ""
c: 920 -1 ""
c: 921 -1 ""
c: 922 -1 ""
c: 923 -1 ""
c: 924 -1 ""
c: 925 -1 ""
c: 926 -1 ""
c: 927 -1 ""
c: 928 -1 ""
c: 929 -1 ""
c: 930 -1 ""
c: 931 -1 ""
c: 932 -1 ""
c: 933 -1 ""
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c: 938 -1 ""
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c: 940 -1 ""
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c: 945 -1 ""
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c: 947 -1 ""
c: 948 -1 ""
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c: 950 -1 ""
c: 951 -1 ""
c: 952 -1 ""
c: 953 -1 ""
c: 954 -1 ""
c: 955 -1 ""
c: 956 -1 ""
c: 957 -1 ""
c: 958 -1 ""
c: 959 -1 ""
c: 960 -1 ""
c: 961 -1 ""
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c: 963 -1 ""
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c: 965 -1 ""
c: 966 -1 ""
c: 967 -1 ""
c: 968 -1 ""
c: 969 -1 ""
c: 970 -1 ""
c: 971 -1 ""
c: 972 -1 ""
c: 973 -1 ""
c: 974 -1 ""
c: 975 -1 ""
c: 976 -1 ""
c: 977 -1 ""
c: 978 -1 ""
c: 979 -1 ""
c: 980 -1 ""
c: 981 -1 ""
c: 982 -1 ""
c: 983 -1 ""
c: 984 -1 ""
c: 985 -1 ""
c: 986 -1 ""
c: 987 -1 ""
c: 988 -1 ""
c: 989 -1 ""
c: 990 -1 ""
c: 991 -1 ""
c: 992 -1 ""
c: 993 -1 ""
c: 994 -1 ""
c: 995 -1 ""
c: 996 -1 ""
c: 997 -1 ""
c: 998 -1 ""
c: 999 -1 ""
c: 1000 -1 ""
c: 9999 -1 "Military occupations"
I: MIGRATE5 0 9 -1 9 365 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.x.x.x.xxxxxxx.xxxxxxxxxxxxxxx...........
l: Migration status, 5 years [general version]
s: Migration status, 5 years [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Same house"
c: 2 -1 "Moved, place not reported"
c: 3 -1 "Moved within county (in Puerto Rico, within municipio)"
c: 4 -1 "Moved within state, between counties (in Puerto Rico, betwee"
c: 5 -1 "Moved between states (or between Puerto Rico and a state)"
c: 6 -1 "Abroad"
c: 7 -1 "Same state (migration status within state unknown)"
c: 9 -1 "Unknown"
I: MIGRAT5D 0 90 -1 90 366 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.x.x.x.xxxxxxx.xxxxxxxxxxxxxxx...........
l: Migration status, 5 years [detailed version]
s: Migration status, 5 years [detailed version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "Same house"
c: 20 -1 "Moved, place not reported"
c: 30 -1 "Same state/county, different house"
c: 40 -1 "Same state, different county"
c: 50 -1 "Different state"
c: 51 -1 "Contiguous-different state"
c: 52 -1 "Not contiguous-different state"
c: 60 -1 "Abroad"
c: 70 -1 "State reported, place not reported"
c: 90 -1 "Unknown"
I: MIGRATE1 0 9 -1 9 368 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x.............................xxxxxxxxxxx
l: Migration status, 1 year [general version]
s: Migration status, 1 year [general version]
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Same house"
c: 2 -1 "Moved within or between states"
c: 3 -1 "Moved within county"
c: 4 -1 "Moved within state, between counties"
c: 5 -1 "Moved between states"
c: 6 -1 "Abroad one year ago"
c: 7 -1 "Same state (migration status within state unknown)"
c: 9 -1 "Unknown"
I: MIGRAT1D 0 90 -1 90 369 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x.............................xxxxxxxxxxx
l: Migration status, 1 year [detailed version]
s: Migration status, 1 year [detailed version]
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 10 -1 "Same house"
c: 20 -1 "Different house, place not reported"
c: 30 -1 "Different house, moved within county"
c: 40 -1 "Different house, moved within state, between counties"
c: 51 -1 "Moved between contigious states"
c: 52 -1 "Moved between non-contiguous states"
c: 60 -1 "Abroad one year ago"
c: 70 -1 "Same state (migration status within state unknown)"
c: 90 -1 "Unknown"
I: MIGPLAC5 0 999 -1 999 371 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x..xxxxxxxxxxxx..xxxxxxxxxxxxxx...........
l: State or country of residence 5 years ago
s: State or country of residence 5 years ago
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Alabama"
c: 2 -1 "Alaska"
c: 4 -1 "Arizona"
c: 5 -1 "Arkansas"
c: 6 -1 "California"
c: 8 -1 "Colorado"
c: 9 -1 "Connecticut"
c: 10 -1 "Delaware"
c: 11 -1 "District of Columbia"
c: 12 -1 "Florida"
c: 13 -1 "Georgia"
c: 15 -1 "Hawaii"
c: 16 -1 "Idaho"
c: 17 -1 "Illinois"
c: 18 -1 "Indiana"
c: 19 -1 "Iowa"
c: 20 -1 "Kansas"
c: 21 -1 "Kentucky"
c: 22 -1 "Louisiana"
c: 23 -1 "Maine"
c: 24 -1 "Maryland"
c: 25 -1 "Massachusetts"
c: 26 -1 "Michigan"
c: 27 -1 "Minnesota"
c: 28 -1 "Mississippi"
c: 29 -1 "Missouri"
c: 30 -1 "Montana"
c: 31 -1 "Nebraska"
c: 32 -1 "Nevada"
c: 33 -1 "New Hampshire"
c: 34 -1 "New Jersey"
c: 35 -1 "New Mexico"
c: 36 -1 "New York"
c: 37 -1 "North Carolina"
c: 38 -1 "North Dakota"
c: 39 -1 "Ohio"
c: 40 -1 "Oklahoma"
c: 41 -1 "Oregon"
c: 42 -1 "Pennsylvania"
c: 44 -1 "Rhode Island"
c: 45 -1 "South Carolina"
c: 46 -1 "South Dakota"
c: 47 -1 "Tennessee"
c: 48 -1 "Texas"
c: 49 -1 "Utah"
c: 50 -1 "Vermont"
c: 51 -1 "Virginia"
c: 53 -1 "Washington"
c: 54 -1 "West Virginia"
c: 55 -1 "Wisconsin"
c: 56 -1 "Wyoming"
c: 61 -1 "Maine-New Hampshire-Vermont"
c: 62 -1 "Massachussetts-Rhode Island"
c: 63 -1 "Minnesota-Iowa-Missouri-Kansas-Nebraska-Dakotas"
c: 64 -1 "Maryland-Delaware"
c: 65 -1 "Montana-Idaho-Wyoming"
c: 66 -1 "Utah-Nevada"
c: 67 -1 "Arizona-New Mexico"
c: 68 -1 "Alaska-Hawaii"
c: 99 -1 "United States, not specified or state confidential"
c: 100 -1 "Samoa"
c: 105 -1 "Guam"
c: 110 -1 "Puerto Rico"
c: 115 -1 "Virgin Islands"
c: 119 -1 "US outlying area (1980)"
c: 120 -1 "Other US Possessions"
c: 150 -1 "Canada"
c: 151 -1 "English Canada"
c: 152 -1 "French Canada"
c: 155 -1 "St Pierre and Miquelon"
c: 160 -1 "Atlantic Islands"
c: 199 -1 "North America"
c: 200 -1 "Mexico"
c: 211 -1 "Belize/British Honduras"
c: 212 -1 "Costa Rica"
c: 213 -1 "El Salvador"
c: 214 -1 "Guatemala"
c: 215 -1 "Honduras"
c: 216 -1 "Nicaragua"
c: 217 -1 "Panama"
c: 218 -1 "Canal Zone"
c: 219 -1 "Central America, nec"
c: 250 -1 "Cuba"
c: 260 -1 "West Indies"
c: 261 -1 "Dominican Republic"
c: 262 -1 "Haita"
c: 263 -1 "Jamaica"
c: 264 -1 "British West Indies"
c: 266 -1 "Trinidad and Tobago"
c: 267 -1 "Other West Indies"
c: 305 -1 "Argentina"
c: 310 -1 "Bolivia"
c: 315 -1 "Brazil"
c: 320 -1 "Chile"
c: 325 -1 "Colombia"
c: 330 -1 "Ecuador"
c: 345 -1 "Paraguay"
c: 350 -1 "Peru"
c: 360 -1 "Uruguay"
c: 365 -1 "Venezuela"
c: 370 -1 "North or Central America, n.s. (2000 5%)"
c: 390 -1 "South America, nec"
c: 400 -1 "Denmark"
c: 401 -1 "Finland"
c: 402 -1 "Iceland"
c: 404 -1 "Norway"
c: 405 -1 "Sweden"
c: 410 -1 "England"
c: 411 -1 "Scotland"
c: 412 -1 "Wales"
c: 413 -1 "United Kingdom"
c: 414 -1 "Ireland"
c: 415 -1 "Northern Ireland"
c: 420 -1 "Belgium"
c: 421 -1 "France"
c: 422 -1 "Liechtenstein"
c: 423 -1 "Luxembourg"
c: 424 -1 "Monaco"
c: 425 -1 "Netherlands"
c: 426 -1 "Switzerland"
c: 430 -1 "Albania"
c: 431 -1 "Andorra"
c: 432 -1 "Gibraltar"
c: 433 -1 "Greece"
c: 434 -1 "Dodecanese Islands"
c: 435 -1 "Italy"
c: 436 -1 "Portugal"
c: 437 -1 "Azores"
c: 438 -1 "Spain"
c: 439 -1 "Vatican City"
c: 440 -1 "Malta"
c: 450 -1 "Austria"
c: 451 -1 "Bulgaria"
c: 452 -1 "Czechoslovakia"
c: 453 -1 "Germany"
c: 454 -1 "Hungary"
c: 455 -1 "Poland"
c: 456 -1 "Romania"
c: 457 -1 "Yugoslavia"
c: 460 -1 "Estonia"
c: 461 -1 "Latvia"
c: 462 -1 "Lithuania"
c: 465 -1 "USSR"
c: 496 -1 "Byelorussia"
c: 498 -1 "Ukraine"
c: 499 -1 "Europe, n.s."
c: 500 -1 "China"
c: 501 -1 "Japan"
c: 502 -1 "Korea"
c: 510 -1 "Brunei"
c: 511 -1 "Cambodia"
c: 512 -1 "Indonesia"
c: 513 -1 "Laos"
c: 514 -1 "Malaysia"
c: 515 -1 "Philippines"
c: 516 -1 "Singapore"
c: 517 -1 "Thailand"
c: 518 -1 "Vietnam"
c: 520 -1 "Afghanistan"
c: 521 -1 "India"
c: 522 -1 "Iran"
c: 523 -1 "Maldives"
c: 524 -1 "Nepal"
c: 525 -1 "Pakistan"
c: 530 -1 "Bahrain"
c: 531 -1 "Cyprus"
c: 532 -1 "Iraq"
c: 534 -1 "Israel"
c: 535 -1 "Jordan"
c: 536 -1 "Kuwait"
c: 537 -1 "Lebanon"
c: 538 -1 "Oman"
c: 539 -1 "Qatar"
c: 540 -1 "Saudi Arabia"
c: 541 -1 "Syria"
c: 542 -1 "Turkey"
c: 543 -1 "United Arab Emirates"
c: 544 -1 "Yemen"
c: 548 -1 "Southwest Asia, nec/ns"
c: 599 -1 "Asia, nec/ns"
c: 600 -1 "Africa"
c: 610 -1 "Northern Africa"
c: 612 -1 "Egypt/United Arab Rep."
c: 670 -1 "Central Africa"
c: 690 -1 "Southern Africa"
c: 694 -1 "South Africa (Union of)"
c: 699 -1 "Africa, nec"
c: 700 -1 "Coral Sea Islands"
c: 701 -1 "Australia"
c: 702 -1 "New Zealand"
c: 710 -1 "Pacific Islands"
c: 715 -1 "US Pacific Trust Territories"
c: 800 -1 "Heard and McDonald Islands"
c: 900 -1 "Abroad (unknown) or at sea"
c: 911 -1 "Abroad, ns"
c: 912 -1 "At sea"
c: 990 -1 "Same house"
c: 999 -1 "Missing/unknown"
I: MIGPLAC1 0 999 -1 999 374 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x.............................xxxxxxxxxxx
l: State or country of residence 1 year ago
s: State or country of residence 1 year ago
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Alabama"
c: 2 -1 "Alaska"
c: 4 -1 "Arizona"
c: 5 -1 "Arkansas"
c: 6 -1 "California"
c: 8 -1 "Colorado"
c: 9 -1 "Connecticut"
c: 10 -1 "Delaware"
c: 11 -1 "District of Columbia"
c: 12 -1 "Florida"
c: 13 -1 "Georgia"
c: 15 -1 "Hawaii"
c: 16 -1 "Idaho"
c: 17 -1 "Illinois"
c: 18 -1 "Indiana"
c: 19 -1 "Iowa"
c: 20 -1 "Kansas"
c: 21 -1 "Kentucky"
c: 22 -1 "Louisiana"
c: 23 -1 "Maine"
c: 24 -1 "Maryland"
c: 25 -1 "Massachusetts"
c: 26 -1 "Michigan"
c: 27 -1 "Minnesota"
c: 28 -1 "Mississippi"
c: 29 -1 "Missouri"
c: 30 -1 "Montana"
c: 31 -1 "Nebraska"
c: 32 -1 "Nevada"
c: 33 -1 "New Hampshire"
c: 34 -1 "New Jersey"
c: 35 -1 "New Mexico"
c: 36 -1 "New York"
c: 37 -1 "North Carolina"
c: 38 -1 "North Dakota"
c: 39 -1 "Ohio"
c: 40 -1 "Oklahoma"
c: 41 -1 "Oregon"
c: 42 -1 "Pennsylvania"
c: 44 -1 "Rhode Island"
c: 45 -1 "South Carolina"
c: 46 -1 "South Dakota"
c: 47 -1 "Tennessee"
c: 48 -1 "Texas"
c: 49 -1 "Utah"
c: 50 -1 "Vermont"
c: 51 -1 "Virginia"
c: 53 -1 "Washington"
c: 54 -1 "West Virginia"
c: 55 -1 "Wisconsin"
c: 56 -1 "Wyoming"
c: 99 -1 "United States, ns"
c: 100 -1 "Samoa, 1950"
c: 105 -1 "Guam"
c: 110 -1 "Puerto Rico"
c: 115 -1 "Virgin Islands"
c: 120 -1 "Other US Possessions"
c: 150 -1 "Canada"
c: 151 -1 "English Canada"
c: 152 -1 "French Canada"
c: 160 -1 "Atlantic Islands"
c: 200 -1 "Mexico"
c: 211 -1 "Belize/British Honduras"
c: 212 -1 "Costa Rica"
c: 213 -1 "El Salvador"
c: 214 -1 "Guatemala"
c: 215 -1 "Honduras"
c: 216 -1 "Nicaragua"
c: 217 -1 "Panama"
c: 218 -1 "Canal Zone"
c: 219 -1 "Central America, nec"
c: 250 -1 "Cuba"
c: 261 -1 "Dominican Republic"
c: 262 -1 "Haita"
c: 263 -1 "Jamaica"
c: 264 -1 "British West Indies"
c: 267 -1 "Other West Indies"
c: 290 -1 "Other Caribbean and North America"
c: 305 -1 "Argentina"
c: 310 -1 "Bolivia"
c: 315 -1 "Brazil"
c: 320 -1 "Chile"
c: 325 -1 "Colombia"
c: 330 -1 "Ecuador"
c: 345 -1 "Paraguay"
c: 350 -1 "Peru"
c: 360 -1 "Uruguay"
c: 365 -1 "Venezuela"
c: 390 -1 "South America, nec"
c: 400 -1 "Denmark"
c: 401 -1 "Finland"
c: 402 -1 "Iceland"
c: 404 -1 "Norway"
c: 405 -1 "Sweden"
c: 410 -1 "England"
c: 411 -1 "Scotland"
c: 412 -1 "Wales"
c: 413 -1 "United Kingdom (excluding England: 2005ACS)"
c: 414 -1 "Ireland"
c: 415 -1 "Northern Ireland"
c: 419 -1 "Other Northern Europe"
c: 420 -1 "Belgium"
c: 421 -1 "France"
c: 422 -1 "Luxembourg"
c: 425 -1 "Netherlands"
c: 426 -1 "Switzerland"
c: 429 -1 "Other Western Europe"
c: 430 -1 "Albania"
c: 433 -1 "Greece"
c: 434 -1 "Dodecanese Islands"
c: 435 -1 "Italy"
c: 436 -1 "Portugal"
c: 437 -1 "Azores"
c: 438 -1 "Spain"
c: 450 -1 "Austria"
c: 451 -1 "Bulgaria"
c: 452 -1 "Czechoslovakia"
c: 453 -1 "Germany"
c: 454 -1 "Hungary"
c: 455 -1 "Poland"
c: 456 -1 "Romania"
c: 457 -1 "Yugoslavia"
c: 458 -1 "Bosnia and Herzegovinia"
c: 459 -1 "Other Eastern Europe"
c: 460 -1 "Estonia"
c: 461 -1 "Latvia"
c: 462 -1 "Lithuania"
c: 463 -1 "Other Northern or Eastern Europe"
c: 465 -1 "USSR"
c: 498 -1 "Ukraine"
c: 499 -1 "Europe, ns"
c: 500 -1 "China"
c: 501 -1 "Japan"
c: 502 -1 "Korea"
c: 503 -1 "Taiwan"
c: 515 -1 "Philippines"
c: 517 -1 "Thailand"
c: 518 -1 "Vietnam"
c: 519 -1 "Other South East Asia"
c: 521 -1 "India"
c: 522 -1 "Iran"
c: 523 -1 "Iraq"
c: 525 -1 "Pakistan"
c: 534 -1 "Israel/Palestine"
c: 535 -1 "Jordan"
c: 537 -1 "Lebanon"
c: 540 -1 "Saudi Arabia"
c: 541 -1 "Syria"
c: 542 -1 "Turkey"
c: 551 -1 "Other Western Asia"
c: 599 -1 "Asia, nec"
c: 600 -1 "Africa"
c: 610 -1 "Northern Africa"
c: 620 -1 "Western Africa"
c: 621 -1 "Easterb Africa"
c: 694 -1 "South Africa (Union of)"
c: 699 -1 "Africa, nec"
c: 701 -1 "Australia"
c: 702 -1 "New Zealand"
c: 710 -1 "Pacific Islands (Australia and New Zealand Subregions, not s"
c: 900 -1 "Abroad (unknown) or at sea"
c: 997 -1 "Unknown value"
c: 999 -1 "Missing"
I: MIGMET5 0 9990 -1 9990 377 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x...........xx.....xxxx...xxxxx...........
l: Metropolitan area of residence 5 years ago
s: Metropolitan area of residence 5 years ago
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (household does not reside in a SMA)"
c: 40 -1 "Abilene, TX"
c: 60 -1 "Aguadilla, Puerto Rico"
c: 80 -1 "Akron, OH"
c: 120 -1 "Albany, GA"
c: 160 -1 "Albany-Schenectady-Troy, NY"
c: 200 -1 "Albuquerque, NM"
c: 220 -1 "Alexandria, LA"
c: 240 -1 "Allentown-Bethlehem-Easton, PA/NJ"
c: 280 -1 "Altoona, PA"
c: 320 -1 "Amarillo, TX"
c: 380 -1 "Anchorage, AK"
c: 400 -1 "Anderson, IN"
c: 440 -1 "Ann Arbor, MI"
c: 450 -1 "Anniston, AL"
c: 460 -1 "Appleton-Oskosh-Neenah, WI"
c: 470 -1 "Arecibo, Puerto Rico"
c: 480 -1 "Asheville, NC"
c: 500 -1 "Athens, GA"
c: 520 -1 "Atlanta, GA"
c: 560 -1 "Atlantic City, NJ"
c: 580 -1 "Auburn-Opelika, AL"
c: 600 -1 "Augusta-Aiken, GA-SC"
c: 640 -1 "Austin, TX"
c: 680 -1 "Bakersfield, CA"
c: 720 -1 "Baltimore, MD"
c: 730 -1 "Bangor, ME"
c: 740 -1 "Barnstable-Yarmouth, MA"
c: 760 -1 "Baton Rouge, LA"
c: 780 -1 "Battle Creek, MI"
c: 840 -1 "Beaumont-Port Arthur-Orange,TX"
c: 860 -1 "Bellingham, WA"
c: 870 -1 "Benton Harbor, MI"
c: 880 -1 "Billings, MT"
c: 920 -1 "Biloxi-Gulfport, MS"
c: 960 -1 "Binghamton, NY"
c: 1000 -1 "Birmingham, AL"
c: 1010 -1 "Bismarck,ND"
c: 1020 -1 "Bloomington, IN"
c: 1040 -1 "Bloomington-Normal, IL"
c: 1080 -1 "Boise City, ID"
c: 1120 -1 "Boston, MA"
c: 1121 -1 "Lawrence-Haverhill, MA/NH"
c: 1122 -1 "Lowell, MA/NH"
c: 1123 -1 "Salem-Gloucester, MA"
c: 1140 -1 "Bradenton, FL"
c: 1150 -1 "Bremerton, WA"
c: 1160 -1 "Bridgeport, CT"
c: 1200 -1 "Brockton, MA"
c: 1240 -1 "Brownsville-Harlingen-San Benito, TX"
c: 1260 -1 "Bryan-College Station, TX"
c: 1280 -1 "Buffalo-Niagara Falls, NY"
c: 1281 -1 "Niagara Falls, NY"
c: 1290 -1 "Caguas, PR"
c: 1300 -1 "Burlington, NC"
c: 1310 -1 "Burlington, VT"
c: 1320 -1 "Canton, OH"
c: 1350 -1 "Casper, WY"
c: 1360 -1 "Cedar Rapids, IA"
c: 1400 -1 "Champaign-Urbana-Rantoul, IL"
c: 1440 -1 "Charleston-N.Charleston,SC"
c: 1480 -1 "Charleston, WV"
c: 1520 -1 "Charlotte-Gastonia-Rock Hill, SC"
c: 1521 -1 "Rock Hill, SC"
c: 1540 -1 "Charlottesville, VA"
c: 1560 -1 "Chattanooga, TN/GA"
c: 1580 -1 "Cheyenne, WY"
c: 1600 -1 "Chicago-Gary-Lake, IL"
c: 1601 -1 "Aurora-Elgin, IL"
c: 1602 -1 "Gary-Hammond-East Chicago, IN"
c: 1603 -1 "Joliet IL"
c: 1604 -1 "Lake County, IL"
c: 1620 -1 "Chico, CA"
c: 1640 -1 "Cincinnati OH/KY/IN"
c: 1660 -1 "Clarksville-Hopkinsville, TN/KY"
c: 1680 -1 "Cleveland, OH"
c: 1720 -1 "Colorado Springs, CO"
c: 1740 -1 "Columbia, MO"
c: 1760 -1 "Columbia, SC"
c: 1800 -1 "Columbus, GA/AL"
c: 1840 -1 "Columbus, OH"
c: 1880 -1 "Corpus Christi, TX"
c: 1900 -1 "Cumberland, MD/WV"
c: 1920 -1 "Dallas-Fort Worth, TX"
c: 1921 -1 "Fort Worth-Arlington, TX"
c: 1930 -1 "Danbury, CT"
c: 1950 -1 "Danville, VA"
c: 1960 -1 "Davenport, IA Rock Island-Moline, IL"
c: 2000 -1 "Dayton-Springfield, OH"
c: 2001 -1 "Springfield, OH"
c: 2020 -1 "Daytona Beach, FL"
c: 2030 -1 "Decatur, AL"
c: 2040 -1 "Decatur, IL"
c: 2080 -1 "Denver-Boulder-Longmont, CO"
c: 2081 -1 "Boulder-Longmont, CO"
c: 2120 -1 "Des Moines, IA"
c: 2160 -1 "Detroit, MI"
c: 2180 -1 "Dothan, AL"
c: 2190 -1 "Dover, DE"
c: 2200 -1 "Dubuque, IA"
c: 2240 -1 "Duluth-Superior, MN/WI"
c: 2281 -1 "Dutchess Co., NY"
c: 2290 -1 "Eau Claire, WI"
c: 2310 -1 "El Paso, TX"
c: 2320 -1 "Elkhart-Goshen, IN"
c: 2330 -1 "Elmira, NY"
c: 2335 -1 ""
c: 2340 -1 "Enid, OK"
c: 2360 -1 "Erie, PA"
c: 2400 -1 "Eugene-Springfield, OR"
c: 2440 -1 "Evansville, IN/KY"
c: 2520 -1 "Fargo-Morehead, ND/MN"
c: 2560 -1 "Fayetteville, NC"
c: 2580 -1 "Fayetteville-Springdale, AR"
c: 2600 -1 "Fitchburg-Leominster, MA"
c: 2620 -1 "Flagstaff, AZ"
c: 2640 -1 "Flint, MI"
c: 2650 -1 "Florence, AL"
c: 2660 -1 "Florence, SC"
c: 2670 -1 "Fort Collins-Loveland, CO"
c: 2680 -1 "Fort Lauderdale-Hollywood-Pompano Beach, FL"
c: 2700 -1 "Fort Myers-Cape Coral, FL"
c: 2710 -1 "Fort Pierce, FL"
c: 2720 -1 "Fort Smith, AR/OK"
c: 2750 -1 "Fort Walton Beach, FL"
c: 2760 -1 "Fort Wayne, IN"
c: 2840 -1 "Fresno, CA"
c: 2880 -1 "Gadsden, AL"
c: 2900 -1 "Gainesville, FL"
c: 2920 -1 "Galveston-Texas City, TX"
c: 2970 -1 "Glens Falls, NY"
c: 2980 -1 "Goldsboro, NC"
c: 2990 -1 "Grand Forks, ND/MN"
c: 3000 -1 "Grand Rapids, MI"
c: 3040 -1 "Great Falls, MT"
c: 3060 -1 "Greeley, CO"
c: 3080 -1 "Green Bay, WI"
c: 3120 -1 "Greensboro-Winston Salem-High Point, NC"
c: 3121 -1 "Winston-Salem, NC"
c: 3150 -1 "Greenville, NC"
c: 3160 -1 "Greenville-Spartanburg-Anderson SC"
c: 3161 -1 "Anderson, SC"
c: 3180 -1 "Hagerstown, MD"
c: 3200 -1 "Hamilton-Middleton, OH"
c: 3240 -1 "Harrisburg-Lebanon-Carlisle, PA"
c: 3280 -1 "Hartford-Bristol-Middleton-New Britain, CT"
c: 3281 -1 "Bristol, CT"
c: 3283 -1 "New Britain, CT"
c: 3290 -1 "Hickory-Morgantown, NC"
c: 3300 -1 "Hattiesburg, MS"
c: 3320 -1 "Honolulu, HI"
c: 3350 -1 "Houma-Thibodoux, LA"
c: 3360 -1 "Houston-Brazoria, TX"
c: 3361 -1 "Brazoria, TX"
c: 3400 -1 "Huntington-Ashland, WV/KY/OH"
c: 3440 -1 "Huntsville, AL"
c: 3480 -1 "Indianapolis, IN"
c: 3500 -1 "Iowa City, IA"
c: 3520 -1 "Jackson, MI"
c: 3560 -1 "Jackson, MS"
c: 3580 -1 "Jackson, TN"
c: 3590 -1 "Jacksonville, FL"
c: 3600 -1 "Jacksonville, NC"
c: 3610 -1 "Jamestown-Dunkirk, NY"
c: 3620 -1 "Janesville-Beloit, WI"
c: 3660 -1 "Johnson City-Kingsport-Bristol, TN/VA"
c: 3680 -1 "Johnstown, PA"
c: 3710 -1 "Joplin, MO"
c: 3720 -1 "Kalamazoo-Portage, MI"
c: 3740 -1 "Kankakee, IL"
c: 3760 -1 "Kansas City, MO-KS"
c: 3800 -1 "Kenosha, WI"
c: 3810 -1 "Kileen-Temple, TX"
c: 3840 -1 "Knoxville, TN"
c: 3850 -1 "Kokomo, IN"
c: 3870 -1 "LaCrosse, WI"
c: 3880 -1 "Lafayette, LA"
c: 3920 -1 "Lafayette-W. Lafayette, IN"
c: 3960 -1 "Lake Charles, LA"
c: 3980 -1 "Lakeland-Winterhaven, FL"
c: 4000 -1 "Lancaster, PA"
c: 4040 -1 "Lansing-E. Lansing, MI"
c: 4080 -1 "Laredo, TX"
c: 4100 -1 "Las Cruces, NM"
c: 4120 -1 "Las Vegas, NV"
c: 4200 -1 "Lawton, OK"
c: 4240 -1 "Lewiston-Auburn, ME"
c: 4280 -1 "Lexington-Fayette, KY"
c: 4320 -1 "Lima, OH"
c: 4360 -1 "Lincoln, NE"
c: 4400 -1 "Little Rock-North Little Rock, AR"
c: 4410 -1 "Long Branch-Asbury Park,NJ"
c: 4420 -1 "Longview-Marshall, TX"
c: 4440 -1 "Lorain-Elyria, OH"
c: 4480 -1 "Los Angeles-Long Beach, CA"
c: 4481 -1 "Anaheim-Santa Ana-Garden Grove, CA"
c: 4482 -1 "Orange County, CA"
c: 4520 -1 "Louisville, KY/IN"
c: 4600 -1 "Lubbock, TX"
c: 4640 -1 "Lynchburg, VA"
c: 4680 -1 "Macon-Warner Robins, GA"
c: 4720 -1 "Madison, WI"
c: 4760 -1 "Manchester, NH"
c: 4800 -1 "Mansfield, OH"
c: 4840 -1 "Mayaguez, Puerto Rico"
c: 4880 -1 "McAllen-Edinburg-Pharr-Mission, TX"
c: 4890 -1 "Medford, OR"
c: 4900 -1 "Melbourne-Titusville-Cocoa-Palm Bay, FL"
c: 4920 -1 "Memphis, TN/AR/MS"
c: 4940 -1 "Merced, CA"
c: 5000 -1 "Miami-Hialeah, FL"
c: 5040 -1 "Midland, TX"
c: 5080 -1 "Milwaukee, WI"
c: 5120 -1 "Minneapolis-St. Paul, MN"
c: 5160 -1 "Mobile, AL"
c: 5170 -1 "Modesto, CA"
c: 5190 -1 "Monmouth-Ocean, NJ"
c: 5200 -1 "Monroe, LA"
c: 5240 -1 "Montgomery, AL"
c: 5280 -1 "Muncie, IN"
c: 5320 -1 "Muskegon-Norton Shores-Muskegon Heights, MI"
c: 5330 -1 "Myrtle Beach, SC"
c: 5340 -1 "Naples, FL"
c: 5350 -1 "Nashua, NH"
c: 5360 -1 "Nashville, TN"
c: 5400 -1 "New Bedford, MA"
c: 5460 -1 "New Brunswick-Perth Amboy-Sayreville, NJ"
c: 5480 -1 "New Haven-Meriden, CT"
c: 5520 -1 "New London-Norwich, CT/RI"
c: 5560 -1 "New Orleans, LA"
c: 5600 -1 "New York-Northeastern NJ"
c: 5601 -1 "Nassau Co, NY"
c: 5602 -1 "Bergen-Passaic, NJ"
c: 5603 -1 "Jersey City, NJ"
c: 5604 -1 "Middlesex-Somerset-Hunterdon, NJ"
c: 5605 -1 "Newark, NJ"
c: 5640 -1 "Newark, OH"
c: 5660 -1 "Newburgh-Middletown, NY"
c: 5720 -1 "Norfolk-VA Beach-Newport News, VA"
c: 5760 -1 "Norwalk, CT"
c: 5790 -1 "Ocala, FL"
c: 5800 -1 "Odessa, TX"
c: 5880 -1 "Oklahoma City, OK"
c: 5910 -1 "Olympia, WA"
c: 5920 -1 "Omaha, NE/IA"
c: 5950 -1 "Orange, NY"
c: 5960 -1 "Orlando, FL"
c: 5990 -1 "Owensboro, KY"
c: 6010 -1 "Panama City, FL"
c: 6020 -1 "Parkersburg-Marietta,WV/OH"
c: 6030 -1 "Pascagoula-Moss Point, MS"
c: 6080 -1 "Pensacola, FL"
c: 6120 -1 "Peoria, IL"
c: 6160 -1 "Philadelphia, PA/NJ"
c: 6200 -1 "Phoenix, AZ"
c: 6240 -1 "Pine Bluff, AR"
c: 6280 -1 "Pittsburgh-Beaver Valley, PA"
c: 6320 -1 "Pittsfield, MA"
c: 6360 -1 "Ponce, Puerto Rico"
c: 6400 -1 "Portland, ME"
c: 6440 -1 "Portland-Vancouver, OR"
c: 6441 -1 "Vancouver, WA"
c: 6450 -1 "Portsmouth-Dover-Rochester, NH/ME"
c: 6460 -1 "Poughkeepsie, NY"
c: 6480 -1 "Providence-Fall River-Pawtucket, MA/RI"
c: 6481 -1 "Fall River, MA/RI"
c: 6482 -1 "Pawtuckett-Woonsocket-Attleboro, RI/MA"
c: 6520 -1 "Provo-Orem, UT"
c: 6560 -1 "Pueblo, CO"
c: 6580 -1 "Punta Gorda, FL"
c: 6600 -1 "Racine, WI"
c: 6640 -1 "Raleigh-Durham, NC"
c: 6641 -1 "Durham, NC"
c: 6660 -1 "Rapid City, SD"
c: 6680 -1 "Reading, PA"
c: 6690 -1 "Redding, CA"
c: 6720 -1 "Reno, NV"
c: 6740 -1 "Richland-Kennewick-Pasco, WA"
c: 6760 -1 "Richmond-Petersburg, VA"
c: 6761 -1 "Petersburg-Colonial Heights, VA"
c: 6780 -1 "Riverside-San Bernadino, CA"
c: 6781 -1 "San Bernadino, CA"
c: 6800 -1 "Roanoke, VA"
c: 6820 -1 "Rochester, MN"
c: 6840 -1 "Rochester, NY"
c: 6880 -1 "Rockford, IL"
c: 6895 -1 "Rocky Mount, NC"
c: 6920 -1 "Sacramento, CA"
c: 6960 -1 "Saginaw-Bay City-Midland, MI"
c: 6961 -1 "Bay City, MI"
c: 6980 -1 "St. Cloud, MN"
c: 7000 -1 "St. Joseph, MO"
c: 7040 -1 "St. Louis, MO-IL"
c: 7080 -1 "Salem, OR"
c: 7120 -1 "Salinas-Sea Side-Monterey, CA"
c: 7140 -1 "Salisbury-Concord, NC"
c: 7160 -1 "Salt Lake City-Ogden, UT"
c: 7161 -1 "Ogden"
c: 7200 -1 "San Angelo, TX"
c: 7240 -1 "San Antonio, TX"
c: 7320 -1 "San Diego, CA"
c: 7360 -1 "San Francisco-Oakland-Vallejo, CA"
c: 7361 -1 "Oakland, CA"
c: 7362 -1 "Vallejo-Fairfield-Napa, CA"
c: 7400 -1 "San Jose, CA"
c: 7440 -1 "San Juan-Bayamon, Puerto Rico"
c: 7460 -1 "San Luis Obispo-Atascad-P Robles, CA"
c: 7470 -1 "Santa Barbara-Santa Maria-Lompoc, CA"
c: 7480 -1 "Santa Cruz, CA"
c: 7490 -1 "Santa Fe, NM"
c: 7500 -1 "Santa Rosa-Petaluma, CA"
c: 7510 -1 "Sarasota, FL"
c: 7520 -1 "Savannah, GA"
c: 7560 -1 "Scranton-Wilkes-Barre, PA"
c: 7561 -1 "Wilkes-Barre-Hazelton, PA"
c: 7600 -1 "Seattle-Everett, WA"
c: 7610 -1 "Sharon, PA"
c: 7620 -1 "Sheboygan, WI"
c: 7640 -1 "Sherman-Denison, TX"
c: 7680 -1 "Shreveport, LA"
c: 7720 -1 "Sioux City, IA/NE"
c: 7760 -1 "Sioux Falls, SD"
c: 7800 -1 "South Bend-Mishawaka, IN"
c: 7840 -1 "Spokane, WA"
c: 7880 -1 "Springfield, IL"
c: 7920 -1 "Springfield, MO"
c: 8000 -1 "Springfield-Holyoke-Chicopee, MA"
c: 8040 -1 "Stamford, CT"
c: 8050 -1 "State College, PA"
c: 8080 -1 "Steubenville-Weirton,OH/WV"
c: 8120 -1 "Stockton, CA"
c: 8140 -1 "Sumter, SC"
c: 8160 -1 "Syracuse, NY"
c: 8200 -1 "Tacoma, WA"
c: 8240 -1 "Tallahassee, FL"
c: 8280 -1 "Tampa-St. Petersburg-Clearwater, FL"
c: 8320 -1 "Terre Haute, IN"
c: 8360 -1 "Texarkana, TX/AR"
c: 8400 -1 "Toledo, OH/MI"
c: 8440 -1 "Topeka, KS"
c: 8480 -1 "Trenton, NJ"
c: 8520 -1 "Tucson, AZ"
c: 8560 -1 "Tulsa, OK"
c: 8600 -1 "Tuscaloosa, AL"
c: 8640 -1 "Tyler, TX"
c: 8680 -1 "Utica-Rome, NY"
c: 8730 -1 "Ventura-Oxnard-Simi Valley, CA"
c: 8750 -1 "Victoria, TX"
c: 8760 -1 "Vineland-Milville-Bridgetown, NJ"
c: 8780 -1 "Visalia-Tulare-Porterville, CA"
c: 8800 -1 "Waco, TX"
c: 8840 -1 "Washington, DC/MD/VA"
c: 8880 -1 "Waterbury, CT"
c: 8920 -1 "Waterloo-Cedar Falls, IA"
c: 8940 -1 "Wausau, WI"
c: 8960 -1 "West Palm Beach-Boca Raton-Delray Beach, FL"
c: 9000 -1 "Wheeling, WV/OH"
c: 9040 -1 "Wichita, KS"
c: 9080 -1 "Wichita Falls, TX"
c: 9140 -1 "Williamsport, PA"
c: 9160 -1 "Wilmington, DE/NJ/MD"
c: 9200 -1 "Wilmington, NC"
c: 9240 -1 "Worcester, MA"
c: 9260 -1 "Yakima, WA"
c: 9270 -1 "Yolo, CA"
c: 9280 -1 "York, PA"
c: 9320 -1 "Youngstown-Warren, OH-PA"
c: 9340 -1 "Yuba City, CA"
c: 9360 -1 "Yuma, AZ"
c: 9990 -1 "SMA not identified for confidentiality reasons"
I: MIGMET1 0 9990 -1 9990 381 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x..................................xxxxxx
l: Metropolitan area of residence 1 year ago
s: Metropolitan area of residence 1 year ago
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 40 -1 "Abilene, TX"
c: 60 -1 "Aguadilla, PR"
c: 80 -1 "Akron, OH"
c: 120 -1 "Albany, GA"
c: 160 -1 "Albany-Schenectady-Troy, NY"
c: 200 -1 "Albuquerque, NM"
c: 220 -1 "Alexandria, LA"
c: 240 -1 "Allentown-Bethlehem-Easton, PA/NJ"
c: 280 -1 "Altoona, PA"
c: 320 -1 "Amarillo, TX"
c: 380 -1 "Anchorage, AK"
c: 440 -1 "Ann Arbor, MI"
c: 450 -1 "Anniston, AL"
c: 460 -1 "Appleton-Oskosh-Neenah, WI"
c: 470 -1 "Arecibo, PR"
c: 480 -1 "Asheville, NC"
c: 500 -1 "Athens, GA"
c: 520 -1 "Atlanta, GA"
c: 560 -1 "Atlantic City, NJ"
c: 580 -1 "Auburn-Opelika, AL"
c: 600 -1 "Augusta-Aiken, GA-SC"
c: 640 -1 "Austin, TX"
c: 680 -1 "Bakersfield, CA"
c: 720 -1 "Baltimore, MD"
c: 740 -1 "Bangor, ME"
c: 760 -1 "Baton Rouge, LA"
c: 840 -1 "Beaumont-Port Arthur-Orange,TX"
c: 860 -1 "Bellingham, WA"
c: 870 -1 "Benton Harbor, MI"
c: 880 -1 "Billings, MT"
c: 920 -1 "Biloxi-Gulfport, MS"
c: 960 -1 "Binghamton, NY"
c: 1000 -1 "Birmingham, AL"
c: 1020 -1 "Bloomington, IN"
c: 1040 -1 "Bloomington-Normal, IL"
c: 1080 -1 "Boise City, ID"
c: 1120 -1 "Boston, MA"
c: 1121 -1 "Lawrence-Haverhill, MA/NH"
c: 1122 -1 "Lowell, MA/NH"
c: 1150 -1 "Bremerton, WA"
c: 1160 -1 "Bridgeport, CT"
c: 1200 -1 "Brockton, MA"
c: 1240 -1 "Brownsville - Harlingen-San Benito, TX"
c: 1260 -1 "Bryan-College Station, TX"
c: 1280 -1 "Buffalo-Niagara Falls, NY"
c: 1315 -1 "Caguas, PR"
c: 1320 -1 "Canton, OH"
c: 1360 -1 "Cedar Rapids, IA"
c: 1400 -1 "Champaign-Urbana-Rantoul, IL"
c: 1440 -1 "Charleston-N.Charleston,SC"
c: 1480 -1 "Charleston, WV"
c: 1520 -1 "Charlotte-Gastonia-Rock Hill, SC"
c: 1540 -1 "Charlottesville, VA"
c: 1560 -1 "Chattanooga, TN/GA"
c: 1600 -1 "Chicago-Gary-Lake, IL"
c: 1602 -1 "Gary-Hammond-East Chicago, IN"
c: 1620 -1 "Chico, CA"
c: 1640 -1 "Cincinnati OH/KY/IN"
c: 1660 -1 "Clarksville-Hopkinsville, TN/KY"
c: 1680 -1 "Cleveland, OH"
c: 1720 -1 "Colorado Springs, CO"
c: 1740 -1 "Columbia, MO"
c: 1760 -1 "Columbia, SC"
c: 1800 -1 "Columbus, GA/AL"
c: 1840 -1 "Columbus, OH"
c: 1880 -1 "Corpus Christi, TX"
c: 1920 -1 "Dallas-Fort Worth, TX"
c: 1921 -1 "Fort Worth-Arlington, TX"
c: 1930 -1 "Danbury, CT"
c: 1950 -1 "Danville, VA"
c: 1960 -1 "Davenport, IA Rock Island-Moline, IL"
c: 2000 -1 "Dayton-Springfield, OH"
c: 2001 -1 "Springfield, OH"
c: 2020 -1 "Daytona Beach, FL"
c: 2030 -1 "Decatur, AL"
c: 2040 -1 "Decatur, IL"
c: 2080 -1 "Denver-Boulder-Longmont, CO"
c: 2120 -1 "Des Moines, IA"
c: 2160 -1 "Detroit, MI"
c: 2180 -1 "Dothan, AL"
c: 2190 -1 "Dover, DE"
c: 2240 -1 "Duluth-Superior, MN/WI"
c: 2281 -1 "Dutchess Co., NY"
c: 2290 -1 "Eau Claire, WI"
c: 2310 -1 "El Paso, TX"
c: 2320 -1 "Elkhart-Goshen, IN"
c: 2360 -1 "Erie, PA"
c: 2400 -1 "Eugene-Springfield, OR"
c: 2440 -1 "Evansville, IN/KY"
c: 2520 -1 "Fargo-Moorhead, ND/MN"
c: 2560 -1 "Fayetteville, NC"
c: 2580 -1 "Fayetteville-Springdale, AR"
c: 2600 -1 "Fitchburg-Leominster, MA"
c: 2620 -1 "Flagstaff, AZ"
c: 2640 -1 "Flint, MI"
c: 2650 -1 "Florence, AL"
c: 2680 -1 "Fort Lauderdale-Hollywood-Pompano Beach, FL"
c: 2700 -1 "Fort Myers-Cape Coral, FL"
c: 2710 -1 "Fort Pierce, FL"
c: 2720 -1 "Fort Smith, AR/OK"
c: 2750 -1 "Fort Walton Beach, FL"
c: 2760 -1 "Fort Wayne, IN"
c: 2840 -1 "Fresno, CA"
c: 2880 -1 "Gadsden, AL"
c: 2900 -1 "Gainesville, FL"
c: 2920 -1 "Galveston-Texas City, TX"
c: 2970 -1 "Glens Falls, NY"
c: 2980 -1 "Goldsboro, NC"
c: 3000 -1 "Grand Rapids, MI"
c: 3060 -1 "Greeley, CO"
c: 3080 -1 "Green Bay, WI"
c: 3120 -1 "Greensboro-Winston Salem-High Point, NC"
c: 3121 -1 "Winston-Salem, NC"
c: 3150 -1 "Greenville, NC"
c: 3160 -1 "Greenville-Spartanburg-Anderson SC"
c: 3180 -1 "Hagerstown, MD"
c: 3200 -1 "Hamilton-Midleton, OH"
c: 3240 -1 "Harrisburg-Lebanon-Carlisle, PA"
c: 3280 -1 "Hartford-Bristol-Middleton-New Britain, CT"
c: 3290 -1 "Hickory-Morgantown, NC"
c: 3300 -1 "Hattiesburg, MS"
c: 3320 -1 "Honolulu, HI"
c: 3350 -1 "Houma-Thibodoux, LA"
c: 3360 -1 "Houston-Brazoria, TX"
c: 3361 -1 "Brazoria, TX"
c: 3400 -1 "Huntington-Ashland, WV/KY/OH"
c: 3440 -1 "Huntsville, AL"
c: 3480 -1 "Indianapolis, IN"
c: 3500 -1 "Iowa City, IA"
c: 3520 -1 "Jackson, MI"
c: 3560 -1 "Jackson, MS"
c: 3580 -1 "Jackson, TN"
c: 3590 -1 "Jacksonville, FL"
c: 3600 -1 "Jacksonville, NC"
c: 3610 -1 "Jamestown-Dunkirk, NY"
c: 3620 -1 "Janesville-Beloit, WI"
c: 3660 -1 "Johnson City-Kingsport-Bristol, TN/VA"
c: 3680 -1 "Johnstown, PA"
c: 3710 -1 "Joplin, MO"
c: 3720 -1 "Kalamazoo-Portage, MI"
c: 3740 -1 "Kankakee, IL"
c: 3760 -1 "Kansas City, MO/KS"
c: 3800 -1 "Kenosha, WI"
c: 3810 -1 "Killeen-Temple, TX"
c: 3840 -1 "Knoxville, TN"
c: 3850 -1 "Kokomo, IN"
c: 3870 -1 "LaCrosse, WI"
c: 3880 -1 "Lafayette, LA"
c: 3920 -1 "Lafayette-W.Lafayette, IN"
c: 3960 -1 "Lake Charles, LA"
c: 3980 -1 "Lakeland-Winterhaven, FL"
c: 4000 -1 "Lancaster, PA"
c: 4040 -1 "Lansing-E. Lansing, MI"
c: 4080 -1 "Laredo, TX"
c: 4100 -1 "Las Cruces, NM"
c: 4120 -1 "Las Vegas, NV"
c: 4280 -1 "Lexington-Fayette, KY"
c: 4320 -1 "Lima, OH"
c: 4360 -1 "Lincoln, NE"
c: 4400 -1 "Little Rock-North Little Rock, AR"
c: 4420 -1 "Longview-Marshall, TX"
c: 4440 -1 "Lorain-Elyria, OH"
c: 4480 -1 "Los Angeles-Long Beach, CA"
c: 4482 -1 "Orange County, CA"
c: 4520 -1 "Louisville, KY/IN"
c: 4600 -1 "Lubbock, TX"
c: 4640 -1 "Lynchburg, VA"
c: 4680 -1 "Macon-Warner Robins, GA"
c: 4720 -1 "Madison, WI"
c: 4760 -1 "Manchester, NH"
c: 4800 -1 "Mansfield, OH"
c: 4880 -1 "McAllen-Edinburg-Pharr-Mission, TX"
c: 4890 -1 "Medford, OR"
c: 4900 -1 "Melbourne-Titusville-Cocoa-Palm Bay, FL"
c: 4920 -1 "Memphis, TN/AR/MS"
c: 4940 -1 "Merced, CA"
c: 5000 -1 "Miami-Hialeah, FL"
c: 5080 -1 "Milwaukee, WI"
c: 5120 -1 "Minneapolis-St. Paul, MN"
c: 5160 -1 "Mobile, AL"
c: 5170 -1 "Modesto, CA"
c: 5190 -1 "Monmouth-Ocean, NJ"
c: 5200 -1 "Monroe, LA"
c: 5240 -1 "Montgomery, AL"
c: 5280 -1 "Muncie, IN"
c: 5330 -1 "Myrtle Beach, SC"
c: 5340 -1 "Naples, FL"
c: 5350 -1 "Nashua, NH"
c: 5360 -1 "Nashville, TN"
c: 5400 -1 "Bristol, MA"
c: 5480 -1 "New Haven-Meriden, CT"
c: 5560 -1 "New Orleans, LA"
c: 5600 -1 "New York-Northeastern NJ"
c: 5601 -1 "Nassau Co, NY"
c: 5602 -1 "Bergen-Passaic, NJ"
c: 5603 -1 "Jersey City, NJ"
c: 5604 -1 "Middlesex-Somerset-Hunterdon, NJ"
c: 5605 -1 "Newark, NJ"
c: 5660 -1 "Newburgh-Middletown, NY"
c: 5720 -1 "Norfolk-VA Beach-Newport News, VA"
c: 5790 -1 "Ocala, FL"
c: 5800 -1 "Odessa, TX"
c: 5880 -1 "Oklahoma City, OK"
c: 5910 -1 "Olympia, WA"
c: 5920 -1 "Omaha, NE/IA"
c: 5960 -1 "Orlando, FL"
c: 6010 -1 "Panama City, FL"
c: 6080 -1 "Pensacola, FL"
c: 6120 -1 "Peoria, IL"
c: 6160 -1 "Philadelphia, PA/NJ"
c: 6200 -1 "Phoenix, AZ"
c: 6280 -1 "Pittsburgh-Beaver Valley, PA"
c: 6320 -1 "Pittsfield, MA"
c: 6360 -1 "Ponce, PR"
c: 6400 -1 "Portland, ME"
c: 6440 -1 "Portland-Vancouver, OR"
c: 6480 -1 "Providence-Fall River-Pawtucket, MA/RI"
c: 6481 -1 "Fall River, MA/RI"
c: 6520 -1 "Provo-Urem, UT"
c: 6560 -1 "Pueblo, CO"
c: 6580 -1 "Punta Gorda, FL"
c: 6600 -1 "Racine, WI"
c: 6640 -1 "Raleigh-Durham, NC"
c: 6641 -1 "Durham, NC"
c: 6680 -1 "Reading, PA"
c: 6690 -1 "Redding, CA"
c: 6720 -1 "Reno, NV"
c: 6740 -1 "Richland-Kennewick-Pasco, WA"
c: 6760 -1 "Richmond-Petersburg, VA"
c: 6761 -1 "Petersburg-Colonial Heights, VA"
c: 6780 -1 "Riverside-San Bernadino, CA"
c: 6781 -1 "San Bernadino, CA"
c: 6800 -1 "Roanoke, VA"
c: 6820 -1 "Rochester, MN"
c: 6840 -1 "Rochester, NY"
c: 6880 -1 "Rockford, IL"
c: 6895 -1 "Rocky Mount, NC"
c: 6920 -1 "Sacramento, CA"
c: 6960 -1 "Saginaw-Bay City-Midland, MI"
c: 6961 -1 "Bay City, MI"
c: 6980 -1 "St. Cloud, MN"
c: 7000 -1 "St. Joseph, MO"
c: 7040 -1 "St. Louis, MO/IL"
c: 7080 -1 "Salem, OR"
c: 7160 -1 "Salt Lake City-Ogden, UT"
c: 7161 -1 "Ogden"
c: 7240 -1 "San Antonio, TX"
c: 7320 -1 "San Diego, CA"
c: 7360 -1 "San Francisco-Oakland-Vallejo, CA"
c: 7361 -1 "Oakland, CA"
c: 7362 -1 "Vallejo-Fairfield-Napa, CA"
c: 7400 -1 "San Jose, CA"
c: 7440 -1 "San Juan-Bayamon, PR"
c: 7460 -1 "San Luis Obispo-Atascad-P Robles, CA"
c: 7470 -1 "Santa Barbara-Santa Maria-Lompoc, CA"
c: 7480 -1 "Santa Cruz, CA"
c: 7490 -1 "Santa Fe, NM"
c: 7500 -1 "Santa Rosa-Petaluma, CA"
c: 7510 -1 "Sarasota, FL"
c: 7520 -1 "Savannah, GA"
c: 7560 -1 "Scranton-Wilkes-Barre, PA"
c: 7561 -1 "Wilkes-Barre-Hazelton, PA"
c: 7600 -1 "Seattle-Everett, WA"
c: 7610 -1 "Sharon, PA"
c: 7620 -1 "Sheboygan, WI"
c: 7680 -1 "Shreveport, LA"
c: 7720 -1 "Sioux City, IA/NE"
c: 7760 -1 "Sioux Falls, SD"
c: 7800 -1 "South Bend-Mishawaka, IN"
c: 7840 -1 "Spokane, WA"
c: 7880 -1 "Springfield, IL"
c: 7920 -1 "Springfield, MO"
c: 8000 -1 "Springfield-Holyoke-Chicopee, MA"
c: 8040 -1 "Stamford, CT"
c: 8050 -1 "State College, PA"
c: 8120 -1 "Stockton, CA"
c: 8140 -1 "Sumter, SC"
c: 8160 -1 "Syracuse, NY"
c: 8200 -1 "Tacoma, WA"
c: 8240 -1 "Tallahassee, FL"
c: 8280 -1 "Tampa-St. Petersburg-Clearwater, FL"
c: 8320 -1 "Terre Haute, IN"
c: 8400 -1 "Toledo, OH/MI"
c: 8440 -1 "Topeka, KS"
c: 8480 -1 "Trenton, NJ"
c: 8520 -1 "Tucson, AZ"
c: 8560 -1 "Tulsa, OK"
c: 8600 -1 "Tuscaloosa, AL"
c: 8640 -1 "Tyler, TX"
c: 8680 -1 "Utica-Rome, NY"
c: 8730 -1 "Ventura-Oxnard-Simi Valley, CA"
c: 8760 -1 "Vineland-Millville-Bridgeton, NJ"
c: 8780 -1 "Visalia-Tulare-Porterville, CA"
c: 8800 -1 "Waco, TX"
c: 8840 -1 "Washington, DC/MD/VA"
c: 8880 -1 "Waterbury, CT"
c: 8920 -1 "Waterloo-Cedar Falls, IA"
c: 8940 -1 "Wausau, WI"
c: 8960 -1 "West Palm Beach-Boca Raton-Delray Beach, FL"
c: 9000 -1 "Wheeling, WV/OH"
c: 9040 -1 "Wichita, KS"
c: 9080 -1 "Wichita Falls, TX"
c: 9140 -1 "Williamsport, PA"
c: 9160 -1 "Wilmington, DE/NJ/MD"
c: 9200 -1 "Wilmington, NC"
c: 9240 -1 "Worcester, MA"
c: 9260 -1 "Yakima, WA"
c: 9270 -1 "Yolo, CA"
c: 9280 -1 "York, PA"
c: 9320 -1 "Youngstown-Warren, OH/PA"
c: 9340 -1 "Yuba City, CA"
c: 9360 -1 "Yuma, AZ"
c: 9990 -1 "SMA confidential"
I: MIGTYPE5 0 9 -1 9 385 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.x.x.x.xxxxxx...xx.x.....xxxxx...........
l: Metropolitan status 5 years ago
s: Metropolitan status 5 years ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Not in metro area"
c: 2 -1 "In a metro area, central city status unknown"
c: 3 -1 "Central city"
c: 4 -1 "Not central city"
c: 9 -1 "Unknown"
I: MIGTYPE1 0 9 -1 9 386 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x..................................xxxxxx
l: Metropolitan status 1 year ago
s: Metropolitan status 1 year ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Not in metro area"
c: 2 -1 "In a metro area, central city status unknown"
c: 3 -1 "Central city"
c: 4 -1 "Not central city"
c: 5 -1 "Abroad"
c: 9 -1 "Unknown"
I: MIGCITY5 0 7630 -1 7630 387 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x...........xx.....xxxx...xxxxx...........
l: City of residence 5 years ago
s: City of residence 5 years ago
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A and not identifiable"
c: 1 -1 "Not ascertained"
c: 10 -1 "Akron, OH"
c: 50 -1 "Albany, NY"
c: 70 -1 "Albuquerque, NM"
c: 90 -1 "Alexandria, VA"
c: 130 -1 "Allentown, PA"
c: 190 -1 "Anaheim, CA"
c: 210 -1 "Anchorage, AK"
c: 270 -1 "Ann Arbor, MI"
c: 290 -1 "Arlington, TX"
c: 310 -1 "Arlington, VA"
c: 350 -1 "Atlanta, GA"
c: 410 -1 "Atlanta, GA"
c: 450 -1 "Aurora, CO"
c: 490 -1 "Austin, TX"
c: 510 -1 "Bakersfield, CA"
c: 530 -1 "Baltimore, MD"
c: 590 -1 "Baton Rouge, LA"
c: 600 -1 "Bayamon, PR"
c: 670 -1 "Beaumont, TX"
c: 770 -1 "Birmingham, AL"
c: 810 -1 "Boston, MA"
c: 830 -1 "Bridgeport, CT"
c: 890 -1 "Buffalo, NY"
c: 930 -1 "Cambridge, MA"
c: 990 -1 "Canton, OH"
c: 1020 -1 "Carolina, PR"
c: 1050 -1 "Charleston, SC"
c: 1090 -1 "Charlotte, NC"
c: 1110 -1 "Chattanooga, TN"
c: 1150 -1 "Chesapeake, VA"
c: 1190 -1 "Chicago, IL"
c: 1250 -1 "Chula Vista, CA"
c: 1290 -1 "Cincinnati, OH"
c: 1330 -1 "Cleveland, OH"
c: 1390 -1 "Colorado Springs, CO"
c: 1410 -1 "Columbia, SC"
c: 1430 -1 "Columbus, GA"
c: 1450 -1 "Columbus, OH"
c: 1470 -1 "Concord, CA"
c: 1590 -1 "Dallas, TX"
c: 1650 -1 "Davenport, IA"
c: 1670 -1 "Dayton, OH"
c: 1710 -1 "Denver, CO"
c: 1730 -1 "Des Moines, IA"
c: 1750 -1 "Detroit, MI"
c: 1850 -1 "Durham, NC"
c: 1910 -1 "East Los Angeles, CA"
c: 1990 -1 "El Monte, CA"
c: 2010 -1 "El Paso, TX"
c: 2050 -1 "Elizabeth, NJ"
c: 2090 -1 "Erie, PA"
c: 2110 -1 "Escondido, CA"
c: 2130 -1 "Eugene, OR"
c: 2170 -1 "Evansville, IN"
c: 2270 -1 "Flint, MI"
c: 2290 -1 "Fort Lauderdale, FL"
c: 2330 -1 "Fort Wayne, IN"
c: 2350 -1 "Fort Worth, TX"
c: 2370 -1 "Fresno, CA"
c: 2390 -1 "Fullerton, CA"
c: 2430 -1 "Garden Grove, CA"
c: 2450 -1 "Garland, TX"
c: 2470 -1 "Gary, IN"
c: 2490 -1 "Glendale, CA"
c: 2530 -1 "Grand Rapids, MI"
c: 2570 -1 "Greensboro, NC"
c: 2590 -1 "Guyanabo, PR"
c: 2610 -1 "Hamilton, OH"
c: 2650 -1 "Hampton, VA"
c: 2710 -1 "Hartford, CT"
c: 2770 -1 "Hialeah, FL"
c: 2830 -1 "Hollywood, FL"
c: 2870 -1 "Honolulu, HI"
c: 2890 -1 "Houston, TX"
c: 2930 -1 "Huntington Beach, CA"
c: 2950 -1 "Huntsville, AL"
c: 2970 -1 "Independence, MO"
c: 2990 -1 "Indianapolis, IN"
c: 3010 -1 "Inglewood, CA"
c: 3030 -1 "Irving, TX"
c: 3090 -1 "Jackson, MS"
c: 3110 -1 "Jacksonville, FL"
c: 3150 -1 "Jersey City, NJ"
c: 3260 -1 "Kansas City, MO"
c: 3330 -1 "Knoxville, TN"
c: 3410 -1 "Lakewood, CO"
c: 3470 -1 "Lansing, MI"
c: 3490 -1 "Las Vegas, NV"
c: 3510 -1 "Lawrence, MA"
c: 3590 -1 "Lexington-Fayette, KY"
c: 3650 -1 "Little Rock, AR"
c: 3670 -1 "Livonia, MI"
c: 3690 -1 "Long Beach, CA"
c: 3710 -1 "Lorain, OH"
c: 3730 -1 "Los Angeles, CA"
c: 3750 -1 "Louisville, KY"
c: 3770 -1 "Lowell, MA"
c: 3830 -1 "Macon, GA"
c: 3870 -1 "Madison, WI"
c: 3910 -1 "Manchester, NH"
c: 4010 -1 "Memphis, TN"
c: 4050 -1 "Mesa, AZ"
c: 4070 -1 "Mesquite, TX"
c: 4090 -1 "Metairie, LA"
c: 4110 -1 "Miami, FL"
c: 4130 -1 "Milwaukee, WI"
c: 4150 -1 "Minneapolis, MN"
c: 4170 -1 "Mobile, AL"
c: 4190 -1 "Modesto, CA"
c: 4250 -1 "Montgomery, AL"
c: 4270 -1 "Moreno Valley, CA"
c: 4310 -1 "Muncie, IN"
c: 4410 -1 "Nashville-Davidson, TN"
c: 4411 -1 "Nashville, TN"
c: 4450 -1 "New Bedford, MA"
c: 4470 -1 "New Britain, CT"
c: 4530 -1 "New Haven, CT"
c: 4570 -1 "New Orleans, LA"
c: 4610 -1 "New York, NY"
c: 4630 -1 "Newark, NJ"
c: 4750 -1 "Newport News, VA"
c: 4810 -1 "Norfolk, VA"
c: 4930 -1 "Oakland, CA"
c: 4950 -1 "Oceanside, CA"
c: 4990 -1 "Oklahoma City, OK"
c: 5010 -1 "Omaha, NE"
c: 5030 -1 "Ontario, CA"
c: 5070 -1 "Orlando, FL"
c: 5130 -1 "Oxnard, CA"
c: 5150 -1 "Pasadena, CA"
c: 5170 -1 "Pasadena, TX"
c: 5210 -1 "Paterson, NJ"
c: 5270 -1 "Peoria, IL"
c: 5330 -1 "Philadelphia, PA"
c: 5350 -1 "Phoenix, AZ"
c: 5370 -1 "Pittsburgh, PA"
c: 5430 -1 "Plano, TX"
c: 5450 -1 "Pomona, CA"
c: 5500 -1 "Ponce, PR"
c: 5530 -1 "Portland, OR"
c: 5590 -1 "Portsmouth, VA"
c: 5650 -1 "Providence, RI"
c: 5750 -1 "Raleigh, NC"
c: 5770 -1 "Rancho Cucamonga, CA"
c: 5810 -1 "Reno, NV"
c: 5870 -1 "Richmond, VA"
c: 5890 -1 "Riverside, CA"
c: 5910 -1 "Roanoke, VA"
c: 5930 -1 "Rochester, NY"
c: 5970 -1 "Rockford, IL"
c: 6030 -1 "Sacramento, CA"
c: 6090 -1 "Saint Louis, MO"
c: 6110 -1 "Saint Paul, MN"
c: 6130 -1 "Saint Petersburg, FL"
c: 6170 -1 "Salem, OR"
c: 6190 -1 "Salinas, CA"
c: 6210 -1 "Salt Lake City, UT"
c: 6230 -1 "San Antonio, TX"
c: 6250 -1 "San Bernadino, CA"
c: 6270 -1 "San Diego, CA"
c: 6290 -1 "San Francisco, CA"
c: 6300 -1 "San Juan, PR"
c: 6310 -1 "San Jose, CA"
c: 6330 -1 "Santa Ana, CA"
c: 6350 -1 "Santa Rosa, CA"
c: 6430 -1 "Seattle, WA"
c: 6490 -1 "Shreveport, LA"
c: 6590 -1 "South Bend, IN"
c: 6630 -1 "Spokane, WA"
c: 6670 -1 "Springfield, MA"
c: 6690 -1 "Springfield, MO"
c: 6730 -1 "Stamford, CT"
c: 6750 -1 "Sterling Heights, MI"
c: 6790 -1 "Stockton, CA"
c: 6810 -1 "Sunnyvale, CA"
c: 6850 -1 "Syracuse, NY"
c: 6870 -1 "Tacoma, WA"
c: 6890 -1 "Tampa, FL"
c: 6930 -1 "Tempe, AZ"
c: 6970 -1 "Toledo, OH"
c: 6990 -1 "Topeka, KS"
c: 7010 -1 "Trenton, NJ"
c: 7050 -1 "Tucson, AZ"
c: 7070 -1 "Tulsa, OK"
c: 7090 -1 "Utica, NY"
c: 7110 -1 "Vallejo, CA"
c: 7130 -1 "Virginia Beach,  VA"
c: 7230 -1 "Washington, DC"
c: 7250 -1 "Waterbury, CT"
c: 7410 -1 "Wichita, KS"
c: 7530 -1 "Winston-Salem, NC"
c: 7570 -1 "Worcester, MA"
c: 7590 -1 "Yonkers, NY"
c: 7630 -1 "Youngstown, OH"
I: MIGSEA5 -1 -1 -1 999 391 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: SEA of residence 5 years ago
s: SEA of residence 5 years ago
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: MIGSEA1 -1 -1 -1 999 394 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: SEA of residence 1 year ago
s: SEA of residence 1 year ago
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: MIGFARM5 0 9 -1 9 397 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Farm status 5 years ago
s: Farm status 5 years ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, not on a farm"
c: 2 -1 "Yes, on a farm"
c: 9 -1 "Not ascertained"
I: MIGFARM1 0 9 -1 9 398 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Farm status 1 year ago
s: Farm status 1 year ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, not on a farm"
c: 2 -1 "Yes, on a farm"
c: 9 -1 "Not ascertained"
I: SAMEPLAC 0 9 -1 9 399 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Lived same incorporated place 5 years ago
s: Lived same incorporated place 5 years ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, different community"
c: 2 -1 "Yes, same community"
c: 9 -1 "Not ascertained"
I: SAMEMET5 0 9 -1 9 400 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x...........xx............................
l: Lived same metropolitan area 5 years ago
s: Lived same metropolitan area 5 years ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "In metro, and in same metro in reference year"
c: 2 -1 "In metro, and in different metro in the reference year"
c: 3 -1 "Not in a metro in the reference year"
c: 4 -1 "In an metro in the reference year"
c: 5 -1 "Not in an metro in the reference year"
c: 9 -1 "Unknown"
I: SAMEMET1 0 9 -1 9 401 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Lived same metropolitan area 1 year ago
s: Lived same metropolitan area 1 year ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "In metro, and in same metro in reference year"
c: 2 -1 "In metro, and in different metro in the reference year"
c: 3 -1 "Not in a metro in the reference year"
c: 4 -1 "In an metro in the reference year"
c: 5 -1 "Not in an metro in the reference year"
c: 9 -1 "Unknown"
I: SAMESEA5 0 9 -1 9 402 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Lived same SEA 5 years ago
s: Lived same SEA 5 years ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Same SEA in reference year"
c: 2 -1 "Different SEA in reference year"
c: 3 -1 "In U.S. in reference year, location unknown"
c: 4 -1 "Abroad during the reference year"
c: 9 -1 "Not ascertained"
I: SAMESEA1 0 9 -1 9 403 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Lived same SEA 1 year ago
s: Lived same SEA 1 year ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Same SEA in reference year"
c: 2 -1 "Different SEA in reference year"
c: 3 -1 "In U.S. in reference year, location unknown"
c: 4 -1 "Abroad during the reference year"
c: 9 -1 "Not ascertained"
I: MIGDIST5 -1 -1 -1 9999 404 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Distance between counties, 5 years
s: Distance between counties, 5 years
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: MIGDIST1 -1 -1 -1 9999 408 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Distance between counties, 1 year
s: Distance between counties, 1 year
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: MOVEDIN 0 9 -1 9 412 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxxxxxxxxxxxxxxxxxxx.xxxxxxxxxxxx
l: When occupant moved into residence
s: When occupant moved into residence
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "This year or last year"
c: 2 -1 "2 years ago"
c: 3 -1 "3 years ago"
c: 4 -1 "4-6 (1960)"
c: 5 -1 "7-10 (1960)"
c: 6 -1 "11-20"
c: 7 -1 "21+"
c: 8 -1 "31+"
c: 9 -1 "Always lived here"
I: BLIND 0 9 -1 9 413 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx...xxx.............................................
l: Blind
s: Blind
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No (blank)"
c: 2 -1 "Yes"
c: 8 -1 "Illegible"
c: 9 -1 "Unknown"
I: DEAF 0 9 -1 9 414 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx...xxx.............................................
l: Deaf and dumb
s: Deaf and dumb
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No (blank)"
c: 2 -1 "Yes"
c: 3 -1 "Dumb only"
c: 4 -1 "Deaf only"
c: 8 -1 "Illegible"
c: 9 -1 "Unknown"
I: IDIOTIC 1 2 -1 2 415 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx...................................................
l: Idiotic
s: Idiotic
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "No (blank)"
c: 2 -1 "Yes"
I: INSANE 1 2 -1 2 416 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx...................................................
l: Insane
s: Insane
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "No (blank)"
c: 2 -1 "Yes"
I: MAIMED 1 2 -1 2 417 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx...................................................
l: Maimed
s: Maimed
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "No (blank)"
c: 2 -1 "Yes"
I: SICKNESS 101 9999 -1 9999 418 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx...................................................
l: Sickness
s: Sickness
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 101 -1 ""
c: 102 -1 ""
c: 103 -1 ""
c: 104 -1 ""
c: 105 -1 ""
c: 106 -1 ""
c: 107 -1 ""
c: 108 -1 ""
c: 109 -1 ""
c: 110 -1 ""
c: 111 -1 ""
c: 112 -1 ""
c: 113 -1 ""
c: 114 -1 ""
c: 115 -1 ""
c: 116 -1 ""
c: 201 -1 ""
c: 202 -1 ""
c: 203 -1 ""
c: 204 -1 ""
c: 205 -1 ""
c: 206 -1 ""
c: 207 -1 ""
c: 208 -1 ""
c: 301 -1 ""
c: 302 -1 ""
c: 303 -1 ""
c: 304 -1 ""
c: 305 -1 ""
c: 400 -1 ""
c: 401 -1 ""
c: 402 -1 ""
c: 501 -1 ""
c: 502 -1 ""
c: 503 -1 ""
c: 504 -1 ""
c: 601 -1 ""
c: 602 -1 ""
c: 603 -1 ""
c: 604 -1 ""
c: 605 -1 ""
c: 606 -1 ""
c: 607 -1 ""
c: 608 -1 ""
c: 609 -1 ""
c: 610 -1 ""
c: 611 -1 ""
c: 612 -1 ""
c: 701 -1 ""
c: 702 -1 ""
c: 704 -1 ""
c: 705 -1 ""
c: 706 -1 ""
c: 707 -1 ""
c: 709 -1 ""
c: 710 -1 ""
c: 801 -1 ""
c: 802 -1 ""
c: 803 -1 ""
c: 804 -1 ""
c: 805 -1 ""
c: 806 -1 ""
c: 807 -1 ""
c: 808 -1 ""
c: 901 -1 ""
c: 902 -1 ""
c: 903 -1 ""
c: 904 -1 ""
c: 905 -1 ""
c: 906 -1 ""
c: 907 -1 ""
c: 908 -1 ""
c: 909 -1 ""
c: 910 -1 ""
c: 911 -1 ""
c: 1001 -1 ""
c: 1002 -1 ""
c: 1003 -1 ""
c: 1004 -1 ""
c: 1005 -1 ""
c: 1008 -1 ""
c: 1011 -1 ""
c: 1101 -1 ""
c: 1102 -1 ""
c: 1103 -1 ""
c: 1104 -1 ""
c: 1105 -1 ""
c: 1106 -1 ""
c: 1201 -1 ""
c: 1202 -1 ""
c: 1203 -1 ""
c: 1204 -1 ""
c: 1301 -1 ""
c: 1302 -1 ""
c: 1303 -1 ""
c: 1304 -1 ""
c: 1401 -1 ""
c: 1402 -1 ""
c: 1403 -1 ""
c: 1404 -1 ""
c: 1405 -1 ""
c: 1407 -1 ""
c: 1408 -1 ""
c: 1409 -1 ""
c: 1501 -1 ""
c: 1502 -1 ""
c: 1503 -1 ""
c: 1601 -1 ""
c: 1602 -1 ""
c: 1701 -1 ""
c: 1702 -1 ""
c: 1800 -1 ""
c: 1801 -1 ""
c: 1802 -1 ""
c: 1803 -1 ""
c: 2100 -1 ""
c: 2101 -1 ""
c: 2102 -1 ""
c: 2103 -1 ""
c: 2104 -1 ""
c: 2105 -1 ""
c: 2200 -1 ""
c: 2300 -1 ""
c: 2301 -1 ""
c: 2302 -1 ""
c: 2303 -1 ""
c: 2304 -1 ""
c: 2305 -1 ""
c: 2306 -1 ""
c: 2307 -1 ""
c: 2308 -1 ""
c: 2309 -1 ""
c: 2310 -1 ""
c: 2311 -1 ""
c: 2312 -1 ""
c: 2400 -1 ""
c: 2500 -1 ""
c: 2600 -1 ""
c: 9800 -1 ""
c: 9810 -1 ""
c: 9999 -1 ""
I: VETSTAT 0 9 -1 9 422 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxx.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Veteran status
s: Veteran status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No Service"
c: 2 -1 "Yes"
c: 9 -1 "Not ascertained"
I: VET1930 0 7 -1 7 423 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............x..........................................
l: Veteran Status, 1930
s: Veteran Status, 1930
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Missing, Blank or Not a Veteran"
c: 1 -1 "World War I"
c: 2 -1 "Spanish-American, Philippine Insurrection or Boxer Rebellion"
c: 3 -1 "Spanish-American and World War I"
c: 6 -1 "Illegible"
c: 7 -1 "Period of service not ascertained"
I: VET1940 0 8 -1 8 424 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Veteran status, 1940
s: Veteran status, 1940
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (not sample-line person)"
c: 1 -1 "Not veteran, spouse, or (under 18 years old) child of vetera"
c: 2 -1 "Veteran, spouse, or child of veteran"
c: 8 -1 "Not ascertained"
I: VETKOREA 0 2 -1 2 425 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Veteran, served during Korean conflict era
s: Veteran, served during Korean conflict era
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or No"
c: 1 -1 "No"
c: 2 -1 "Yes, served this period"
I: VETWWII 0 2 -1 2 426 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xx.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Veteran, served during WWII era
s: Veteran, served during WWII era
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (all years) and No"
c: 1 -1 "No"
c: 2 -1 "Yes, served this period"
I: VETWWI 0 2 -1 2 427 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxx.x.x.xxxxxxxxxxx.......................
l: Veteran, served during WWI era
s: Veteran, served during WWI era
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (all years) or No (1940, 1950, 1980)"
c: 1 -1 "No (1950, 1960, 1970)"
c: 2 -1 "Yes, served this period"
I: VETOTHER 0 2 -1 2 428 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xx.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Veteran of other period
s: Veteran of other period
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (all years) or No"
c: 1 -1 "No"
c: 2 -1 "Yes, served this period(s)"
I: VETCIVWR 0 9 -1 9 429 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Veteran of the Civil War
s: Veteran of the Civil War
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A, no, or blank"
c: 1 -1 "Union army"
c: 2 -1 "Union navy"
c: 3 -1 "Union, n.s."
c: 4 -1 "Confederate army"
c: 5 -1 "Confederate navy"
c: 6 -1 "Uncodeable"
c: 8 -1 "Unknown"
c: 9 -1 "Illegible"
I: VETPER 0 8 -1 8 430 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Veteran period of service, 1940
s: Veteran period of service, 1940
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N.A."
c: 1 -1 "World War I"
c: 2 -1 "Spanish-Amer, Philippine Insurrection or Boxer Rebellion"
c: 3 -1 "Spanish-American and WW I"
c: 4 -1 "Regular establishment (peace-time service only)"
c: 5 -1 "Other war or expedition"
c: 7 -1 "Period of service not ascertained"
c: 8 -1 "Not ascertained"
I: VETCHILD 0 9 -1 9 431 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Mortality status of child''s veteran father
s: Mortality status of child''s veteran father
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Child of dead veteran"
c: 2 -1 "Child of living veteran"
c: 8 -1 "Child not identified as having veteran father"
c: 9 -1 "Veteran status unknown"
I: PWSTATE1 0 9 -1 9 432 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxx..............................
l: Place of work: state, 1960 and 1970
s: Place of work: state, 1960 and 1970
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Same state"
c: 2 -1 "Contiguous state"
c: 3 -1 "Noncontiguous state"
c: 9 -1 "Not reported or abroad"
I: PWTYPE 0 9 -1 9 433 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxxxx......x.....xxxxx.....xxxxxx
l: Place of work: metropolitan status
s: Place of work: metropolitan status
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or not identifiable"
c: 1 -1 "Works in a metropolitan area, in central city"
c: 2 -1 "Works in a metropolitan area, in central city Central Busine"
c: 3 -1 "Works in a metropolitan area, in central city, not Central B"
c: 4 -1 "Works, in a metropolitan area, Not central city"
c: 5 -1 "Central city status unknown"
c: 6 -1 "Does not work in a metropolitan area, outside metropolitan a"
c: 7 -1 "Does not work in a metropolitan area, outside metropolitan a"
c: 8 -1 "Does not work in a metropolitan area, outside metropolitan a"
c: 9 -1 "Not reported"
I: TRANWORK 0 70 -1 70 434 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Means of transportation to work
s: Means of transportation to work
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (+ not reported 1960)"
c: 10 -1 "Auto, truck, or van"
c: 11 -1 "Auto"
c: 12 -1 "Driver"
c: 13 -1 "Passenger"
c: 14 -1 "Truck"
c: 15 -1 "Van"
c: 20 -1 "Motorcycle"
c: 30 -1 "Bus or streetcar"
c: 31 -1 "Bus or trolley bus"
c: 32 -1 "Streetcar or trolley car"
c: 33 -1 "Subway or elevated"
c: 34 -1 "Railroad"
c: 35 -1 "Taxicab"
c: 36 -1 "Ferryboat"
c: 40 -1 "Bicycle"
c: 50 -1 "Walked only"
c: 60 -1 "Other"
c: 70 -1 "Worked at home"
I: YRSHI 0 99 -1 99 436 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Years in Hawaii
s: Years in Hawaii
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Less than 1 year (if living in Hawaii); not applicable (if l"
c: 1 -1 "1 year"
c: 2 -1 "2 years"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 31 -1 "31"
c: 32 -1 "32"
c: 33 -1 "33"
c: 34 -1 "34"
c: 35 -1 "35"
c: 36 -1 "36"
c: 37 -1 "37"
c: 38 -1 "38"
c: 39 -1 "39"
c: 40 -1 "40"
c: 41 -1 "41"
c: 42 -1 "42"
c: 43 -1 "43"
c: 44 -1 "44"
c: 45 -1 "45"
c: 46 -1 "46"
c: 47 -1 "47"
c: 48 -1 "48"
c: 49 -1 "49"
c: 50 -1 "50"
c: 51 -1 "51"
c: 52 -1 "52"
c: 53 -1 "53"
c: 54 -1 "54"
c: 55 -1 "55"
c: 56 -1 "56"
c: 57 -1 "57"
c: 58 -1 "58"
c: 59 -1 "59"
c: 60 -1 "60"
c: 61 -1 "61"
c: 62 -1 "62"
c: 63 -1 "63"
c: 64 -1 "64"
c: 65 -1 "65"
c: 66 -1 "66"
c: 67 -1 "67"
c: 68 -1 "68"
c: 69 -1 "69"
c: 70 -1 "70"
c: 71 -1 "71"
c: 72 -1 "72"
c: 73 -1 "73"
c: 74 -1 "74"
c: 75 -1 "75"
c: 76 -1 "76"
c: 77 -1 "77"
c: 78 -1 "78"
c: 79 -1 "79"
c: 80 -1 "80"
c: 81 -1 "81"
c: 82 -1 "82"
c: 83 -1 "83"
c: 84 -1 "84"
c: 85 -1 "85"
c: 86 -1 "86"
c: 87 -1 "87"
c: 88 -1 "88"
c: 89 -1 "89"
c: 90 -1 "90"
c: 91 -1 "91"
c: 92 -1 "92"
c: 93 -1 "93"
c: 94 -1 "94"
c: 95 -1 "95"
c: 98 -1 "Unclassifiable"
c: 99 -1 "Blank"
I: YRIMMIHI 0 999 -1 999 438 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Year of migration to Hawaii
s: Year of migration to Hawaii
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 910 -1 "1910"
c: 909 -1 "1909"
c: 908 -1 "1908"
c: 907 -1 "1907"
c: 906 -1 "1906"
c: 905 -1 "1905"
c: 904 -1 "1904"
c: 903 -1 "1903"
c: 902 -1 "1902"
c: 901 -1 "1901"
c: 900 -1 "1900"
c: 899 -1 "1899"
c: 898 -1 "1898"
c: 897 -1 "1897"
c: 896 -1 "1896"
c: 895 -1 "1895"
c: 894 -1 "1894"
c: 893 -1 "1893"
c: 892 -1 "1892"
c: 891 -1 "1891"
c: 890 -1 "1890"
c: 889 -1 "1889"
c: 888 -1 "1888"
c: 887 -1 "1887"
c: 886 -1 "1886"
c: 885 -1 "1885"
c: 884 -1 "1884"
c: 883 -1 "1883"
c: 882 -1 "1882"
c: 881 -1 "1881"
c: 880 -1 "1880"
c: 879 -1 "1879"
c: 878 -1 "1878"
c: 877 -1 "1877"
c: 876 -1 "1876"
c: 875 -1 "1875"
c: 874 -1 "1874"
c: 873 -1 "1873"
c: 872 -1 "1872"
c: 871 -1 "1871"
c: 870 -1 "1870"
c: 869 -1 "1869"
c: 868 -1 "1868"
c: 867 -1 "1867"
c: 866 -1 "1866"
c: 865 -1 "1865"
c: 864 -1 "1864"
c: 863 -1 "1863"
c: 862 -1 "1862"
c: 861 -1 "1861"
c: 860 -1 "1860"
c: 859 -1 "1859"
c: 858 -1 "1858"
c: 857 -1 "1857"
c: 856 -1 "1856"
c: 855 -1 "1855"
c: 854 -1 "1854"
c: 853 -1 "1853"
c: 852 -1 "1852"
c: 851 -1 "1851"
c: 850 -1 "1850"
c: 849 -1 "1849"
c: 848 -1 "1848"
c: 847 -1 "1847"
c: 846 -1 "1846"
c: 845 -1 "1845"
c: 844 -1 "1844"
c: 843 -1 "1843"
c: 842 -1 "1842"
c: 841 -1 "1841"
c: 840 -1 "1840"
c: 839 -1 "1839"
c: 838 -1 "1838"
c: 837 -1 "1837"
c: 836 -1 "1836"
c: 835 -1 "1835"
c: 834 -1 "1834"
c: 833 -1 "1833"
c: 832 -1 "1832"
c: 831 -1 "1831"
c: 830 -1 "1830"
c: 829 -1 "1829"
c: 828 -1 "1828"
c: 827 -1 "1827"
c: 826 -1 "1826"
c: 825 -1 "1825"
c: 824 -1 "1824"
c: 823 -1 "1823"
c: 822 -1 "1822"
c: 821 -1 "1821"
c: 820 -1 "1820"
c: 819 -1 "1819"
c: 818 -1 "1818"
c: 817 -1 "1817"
c: 816 -1 "1816"
c: 815 -1 "1815"
c: 814 -1 "1814"
c: 813 -1 "1813"
c: 812 -1 "1812"
c: 811 -1 "1811"
c: 810 -1 "1810"
c: 809 -1 "1809"
c: 808 -1 "1808"
c: 807 -1 "1807"
c: 806 -1 "1806"
c: 805 -1 "1805"
c: 804 -1 "1804"
c: 803 -1 "1803"
c: 802 -1 "1802"
c: 801 -1 "1801"
c: 800 -1 "1800"
c: 795 -1 "1795"
c: 998 -1 "Unclassifiable"
c: 999 -1 "Missing"
I: SPEAKHAW 0 9 -1 9 441 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: Speaks Hawaiian
s: Speaks Hawaiian
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable"
c: 1 -1 "No"
c: 2 -1 "Yes"
c: 8 -1 "Unclassifiable"
c: 9 -1 "Blank"
I: ITAX 0 9 -1 9 442 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Tax status, Indian schedules
s: Tax status, Indian schedules
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
c: 8 -1 "Unclassifiable"
c: 9 -1 "Blank"
I: ALLTYR 0 999 -1 999 443 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Year of allotment, Indian schedules
s: Year of allotment, Indian schedules
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable"
c: 806 -1 "Allotment made in 1806"
c: 807 -1 "1807"
c: 808 -1 "1808"
c: 809 -1 "1809"
c: 810 -1 "1810"
c: 811 -1 "1811"
c: 812 -1 "1812"
c: 813 -1 "1813"
c: 814 -1 "1814"
c: 815 -1 "1815"
c: 816 -1 "1816"
c: 817 -1 "1817"
c: 818 -1 "1818"
c: 819 -1 "1819"
c: 820 -1 "1820"
c: 821 -1 "1821"
c: 822 -1 "1822"
c: 823 -1 "1823"
c: 824 -1 "1824"
c: 825 -1 "1825"
c: 826 -1 "1826"
c: 827 -1 "1827"
c: 828 -1 "1828"
c: 829 -1 "1829"
c: 830 -1 "1830"
c: 831 -1 "1831"
c: 832 -1 "1832"
c: 833 -1 "1833"
c: 834 -1 "1834"
c: 835 -1 "1835"
c: 836 -1 "1836"
c: 837 -1 "1837"
c: 838 -1 "1838"
c: 839 -1 "1839"
c: 840 -1 "1840"
c: 841 -1 "1841"
c: 842 -1 "1842"
c: 843 -1 "1843"
c: 844 -1 "1844"
c: 845 -1 "1845"
c: 846 -1 "1846"
c: 847 -1 "1847"
c: 848 -1 "1848"
c: 849 -1 "1849"
c: 850 -1 "1850"
c: 851 -1 "1851"
c: 852 -1 "1852"
c: 853 -1 "1853"
c: 854 -1 "1854"
c: 855 -1 "1855"
c: 856 -1 "1856"
c: 857 -1 "1857"
c: 858 -1 "1858"
c: 859 -1 "1859"
c: 860 -1 "1860"
c: 861 -1 "1861"
c: 862 -1 "1862"
c: 863 -1 "1863"
c: 864 -1 "1864"
c: 865 -1 "1865"
c: 866 -1 "1866"
c: 867 -1 "1867"
c: 868 -1 "1868"
c: 869 -1 "1869"
c: 870 -1 "1870"
c: 871 -1 "1871"
c: 872 -1 "1872"
c: 873 -1 "1873"
c: 874 -1 "1874"
c: 875 -1 "1875"
c: 876 -1 "1876"
c: 877 -1 "1877"
c: 878 -1 "1878"
c: 879 -1 "1879"
c: 880 -1 "1880"
c: 881 -1 "1881"
c: 882 -1 "1882"
c: 883 -1 "1883"
c: 884 -1 "1884"
c: 885 -1 "1885"
c: 886 -1 "1886"
c: 887 -1 "1887"
c: 888 -1 "1888"
c: 889 -1 "1889"
c: 890 -1 "1890"
c: 891 -1 "1891"
c: 892 -1 "1892"
c: 893 -1 "1893"
c: 894 -1 "1894"
c: 895 -1 "1895"
c: 896 -1 "1896"
c: 897 -1 "1897"
c: 898 -1 "1898"
c: 899 -1 "1899"
c: 900 -1 "1900"
c: 901 -1 "1901"
c: 902 -1 "1902"
c: 903 -1 "1903"
c: 904 -1 "1904"
c: 905 -1 "1905"
c: 906 -1 "1906"
c: 907 -1 "1907"
c: 908 -1 "1908"
c: 909 -1 "1909"
c: 910 -1 "1910"
c: 998 -1 "Unclassifiable"
c: 999 -1 "Blank"
I: EDATTEND 0 2 -1 2 446 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Attended educational institution, Indian schedules
s: Attended educational institution, Indian schedules
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Did not graduate from an educational institution"
c: 2 -1 "Graduated from an educational institution"
I: EDINST 0 99 -1 99 447 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: State of educational institution, Indian schedules
s: State of educational institution, Indian schedules
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable"
c: 3 -1 "Massachusetts"
c: 4 -1 "New Hampshire"
c: 13 -1 "New York"
c: 14 -1 "Pennsylvania"
c: 21 -1 "Illinois"
c: 22 -1 "Indiana"
c: 23 -1 "Michigan"
c: 25 -1 "Wisconsin"
c: 31 -1 "Iowa"
c: 32 -1 "Kansas"
c: 33 -1 "Minnesota"
c: 34 -1 "Missouri"
c: 35 -1 "Nebraska"
c: 36 -1 "North Dakota"
c: 37 -1 "South Dakota"
c: 40 -1 "Virginia"
c: 41 -1 "Alabama"
c: 42 -1 "Arkansas"
c: 43 -1 "Florida"
c: 44 -1 "Georgia"
c: 46 -1 "Mississippi"
c: 49 -1 "Texas"
c: 53 -1 "Oklahoma"
c: 54 -1 "Tennessee"
c: 61 -1 "Arizona"
c: 62 -1 "Colorado"
c: 63 -1 "Idaho"
c: 64 -1 "Montana"
c: 65 -1 "Nevada"
c: 66 -1 "New Mexico"
c: 68 -1 "Wyoming"
c: 71 -1 "California"
c: 72 -1 "Oregon"
c: 73 -1 "Washington"
c: 96 -1 "Canada"
c: 99 -1 "Blank"
I: POLYGMY 0 9 -1 9 449 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Living in polygamous marriage, Indian schedules
s: Living in polygamous marriage, Indian schedules
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Not polygamous"
c: 2 -1 "Polygamous"
c: 8 -1 "Unclassifiable"
c: 9 -1 "Blank"
I: POLYSIS 0 9 -1 9 450 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Polygamous wives are sisters, Indian schedules
s: Polygamous wives are sisters, Indian schedules
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
c: 7 -1 "Unclassifiable"
c: 9 -1 "Blank"
I: BLOODB -1 -1 -1 9999 451 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Percentage of black blood, Indian schedules
s: Percentage of black blood, Indian schedules
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: BLOODI -1 -1 -1 9999 455 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Percentage of Indian blood, Indian schedules
s: Percentage of Indian blood, Indian schedules
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: BLOODW -1 -1 -1 9999 459 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx..............................................
l: Percentage of white blood, Indian schedules
s: Percentage of white blood, Indian schedules
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: YRAK 0 999 -1 999 463 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: Year of migration to Alaska
s: Year of migration to Alaska
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable"
c: 847 -1 "1847"
c: 848 -1 "1848"
c: 859 -1 "1859"
c: 867 -1 "1867"
c: 868 -1 "1868"
c: 869 -1 "1869"
c: 870 -1 "1870"
c: 871 -1 "1871"
c: 872 -1 "1872"
c: 873 -1 "1873"
c: 874 -1 "1874"
c: 875 -1 "1875"
c: 876 -1 "1876"
c: 877 -1 "1877"
c: 878 -1 "1878"
c: 879 -1 "1879"
c: 880 -1 "1880"
c: 881 -1 "1881"
c: 882 -1 "1882"
c: 883 -1 "1883"
c: 884 -1 "1884"
c: 885 -1 "1885"
c: 886 -1 "1886"
c: 887 -1 "1887"
c: 888 -1 "1888"
c: 889 -1 "1889"
c: 890 -1 "1890"
c: 891 -1 "1891"
c: 892 -1 "1892"
c: 893 -1 "1893"
c: 894 -1 "1894"
c: 895 -1 "1895"
c: 896 -1 "1896"
c: 897 -1 "1897"
c: 898 -1 "1898"
c: 899 -1 "1899"
c: 900 -1 "1900"
c: 998 -1 "Unclassifiable"
c: 999 -1 "Blank"
I: MOAK 0 99 -1 99 466 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: Month of migration to Alaska
s: Month of migration to Alaska
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable"
c: 1 -1 "January"
c: 2 -1 "February"
c: 3 -1 "March"
c: 4 -1 "April"
c: 5 -1 "May"
c: 6 -1 "June"
c: 7 -1 "July"
c: 8 -1 "August"
c: 9 -1 "September"
c: 10 -1 "October"
c: 11 -1 "November"
c: 12 -1 "December"
c: 98 -1 "Unclassifiable"
c: 99 -1 "Blank"
I: HOMESTAT 0 999 -1 999 468 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: State of origin, Alaskan schedules
s: State of origin, Alaskan schedules
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable"
c: 1 -1 "Connecticut"
c: 2 -1 "Maine"
c: 3 -1 "Massachusetts"
c: 4 -1 "New Hampshire"
c: 5 -1 "Rhode Island"
c: 6 -1 "Vermont"
c: 11 -1 "Delaware"
c: 12 -1 "New Jersey"
c: 13 -1 "New York"
c: 14 -1 "Pennsylvania"
c: 21 -1 "Illinois"
c: 22 -1 "Indiana"
c: 23 -1 "Michigan"
c: 24 -1 "Ohio"
c: 25 -1 "Wisconsin"
c: 31 -1 "Iowa"
c: 32 -1 "Kansas"
c: 33 -1 "Minnesota"
c: 34 -1 "Missouri"
c: 35 -1 "Nebraska"
c: 36 -1 "North Dakota"
c: 37 -1 "South Dakota"
c: 40 -1 "Virginia"
c: 41 -1 "Alabama"
c: 42 -1 "Arkansas"
c: 43 -1 "Florida"
c: 44 -1 "Georgia"
c: 45 -1 "Louisiana"
c: 46 -1 "Mississippi"
c: 47 -1 "North Carolina"
c: 48 -1 "South Carolina"
c: 49 -1 "Texas"
c: 51 -1 "Kentucky"
c: 52 -1 "Maryland"
c: 53 -1 "Oklahoma"
c: 54 -1 "Tennessee"
c: 56 -1 "West Virginia"
c: 61 -1 "Arizona"
c: 62 -1 "Colorado"
c: 63 -1 "Idaho"
c: 64 -1 "Montana"
c: 65 -1 "Nevada"
c: 66 -1 "New Mexico"
c: 67 -1 "Utah"
c: 68 -1 "Wyoming"
c: 71 -1 "California"
c: 72 -1 "Oregon"
c: 73 -1 "Washington"
c: 81 -1 "Alaska"
c: 98 -1 "District of Columbia"
c: 150 -1 "Canada (province identified in HOMECNTY)"
c: 200 -1 "Mexico"
c: 210 -1 "Central America (specific country identified in HOMECNTY)"
c: 260 -1 "Barbadoes"
c: 401 -1 "Finland"
c: 404 -1 "Norway"
c: 405 -1 "Sweden"
c: 410 -1 "England"
c: 411 -1 "Scotland"
c: 414 -1 "Ireland"
c: 421 -1 "France"
c: 423 -1 "Luxembourg"
c: 434 -1 "Italy"
c: 436 -1 "Portugal (Azore Islands)"
c: 450 -1 "Austria"
c: 453 -1 "Germany"
c: 465 -1 "Russia"
c: 500 -1 "China"
c: 501 -1 "Japan"
c: 700 -1 "Australia"
c: 999 -1 "State not identified"
I: HOMECNTY -1 -1 -1 9999 471 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: County of origin, Alaskan schedules
s: County of origin, Alaskan schedules
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: HOMEMCD -1 -1 -1 99999 475 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: Minor civil division of origin, Alaskan schedules
s: Minor civil division of origin, Alaskan schedules
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: HOMECITY -1 -1 -1 99999 480 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xx................................................
l: City of origin, Alaskan schedules
s: City of origin, Alaskan schedules
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: MOUNEAK 0 99 -1 99 485 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx..............................................
l: Months unemployed last year, Alaskan schedules
s: Months unemployed last year, Alaskan schedules
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not applicable"
c: 1 -1 "January"
c: 2 -1 "February"
c: 3 -1 "March"
c: 4 -1 "April"
c: 5 -1 "May"
c: 6 -1 "June"
c: 7 -1 "July"
c: 8 -1 "August"
c: 9 -1 "September"
c: 10 -1 "October"
c: 11 -1 "November"
c: 12 -1 "December"
c: 98 -1 "Unclassifiable"
c: 99 -1 "Blank"
I: SURSIM 0 99 -9 99 519 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxx........................................
l: Surname similarity
s: Surname similarity
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (sampled at the individual level)"
c: 1 -1 "1st surname in household"
c: 2 -1 "2"
c: 3 -1 "3"
c: 4 -1 "4"
c: 5 -1 "5"
c: 6 -1 "6"
c: 7 -1 "7"
c: 8 -1 "8"
c: 9 -1 "9"
c: 10 -1 "10"
c: 11 -1 "11"
c: 12 -1 "12"
c: 13 -1 "13"
c: 14 -1 "14"
c: 15 -1 "15"
c: 16 -1 "16"
c: 17 -1 "17"
c: 18 -1 "18"
c: 19 -1 "19"
c: 20 -1 "20"
c: 21 -1 "21"
c: 22 -1 "22"
c: 23 -1 "23"
c: 24 -1 "24"
c: 25 -1 "25"
c: 26 -1 "26"
c: 27 -1 "27"
c: 28 -1 "28"
c: 29 -1 "29"
c: 30 -1 "30"
c: 99 -1 "Unknown"
I: PRTITLE 1 9 -1 9 652 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Puerto Rican title
s: Puerto Rican title
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "First (Primero, Primera, or Mayor)"
c: 2 -1 "Second (Segundo, Segunda)"
c: 3 -1 "Nun (Sor)"
c: 4 -1 "Twin (Gemelos)"
c: 9 -1 "Missing"
I: PFARMSCH 0 9 -1 9 653 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxx.x.x..........................................
l: Person received farm schedule
s: Person received farm schedule
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "No (blank)"
c: 1 -1 "Received 1st schedule in household"
c: 2 -1 "Received 2nd schedule in hh"
c: 3 -1 "3rd"
c: 4 -1 "4th"
c: 5 -1 "5th"
c: 9 -1 "Unknown"
I: MOMNO -1 -1 -1 21 654 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........x..............................................
l: Mother number, alternate 1910 linking variable
s: Mother number, alternate 1910 linking variable
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: MOMLNKWT -1 -1 -100 992 656 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........x..............................................
l: Weight of mother link, alternate 1910 linking variable
s: Weight of mother link, alternate 1910 linking variable
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: MOMLKREA 0 6 -1 6 660 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........x..............................................
l: Reason for mother link, alternate 1910 linking variable
s: Reason for mother link, alternate 1910 linking variable
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not in universe"
c: 1 -1 "Simple link"
c: 2 -1 "Probability link"
c: 3 -1 "Hand link"
c: 4 -1 "Simple reject"
c: 5 -1 "Probability reject"
c: 6 -1 "Hand un-link"
I: WIFENO -1 -1 -1 24 661 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........x..............................................
l: Wife number, alternate 1910 linking variable
s: Wife number, alternate 1910 linking variable
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: WIFLNKWT -1 -1 -100 99 663 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........x..............................................
l: Weight of wife link, alternate 1910 linking variable
s: Weight of wife link, alternate 1910 linking variable
c: "...." -1 -1 "Not Available for this Year and Data Set"
I: WIFLKREA 0 5 -1 5 667 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...........x..............................................
l: Reason for wife link, alternate 1910 linking variable
s: Reason for wife link, alternate 1910 linking variable
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not in universe"
c: 1 -1 "Simple link"
c: 2 -1 "Probability link"
c: 3 -1 "Hand link"
c: 4 -1 "Simple reject"
c: 5 -1 "Probability reject"
I: PAUPER 1 2 -1 2 668 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxx.......................................................
l: Pauper
s: Pauper
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "No (blank)"
c: 2 -1 "Yes"
I: CRIME 1 9 -1 9 669 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxx.......................................................
l: Crime
s: Crime
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Drunk or disorderly"
c: 2 -1 "Theft, burglary, larceny"
c: 3 -1 "Assault"
c: 4 -1 "Rape"
c: 5 -1 "Murder, manslaughter"
c: 6 -1 "Miscellaneous"
c: 7 -1 "Convict/in jail"
c: 8 -1 "Unknown"
c: 9 -1 "Blank"
I: VOTE 0 2 -1 2 670 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...xx.....................................................
l: Denied the vote
s: Denied the vote
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A or not (able to vote)"
c: 2 -1 "Yes, denied the right to vote"
I: SSENROLL 0 2 -1 2 671 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Social Security enrollment
s: Social Security enrollment
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No Social Security number"
c: 2 -1 "Yes, has Soc. Sec. number"
c: "alu" 0 -1 ""
c: "H" 0 -1 "H' 'Household"
c: "P" 0 -1 "P' 'Person Record"
I: QAGE -1 -1 -1 7 672 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx.x.x.
l: Flag for Age
s: Flag for Age
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QAGEMARR -1 -1 -1 6 673 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.xx.x.x....xxxxx.........................
l: Flag for Agemarr
s: Flag for Agemarr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCHBORN -1 -1 -1 6 674 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxx...xxxxxxxxxxxxxxxxxxxxxxxxxx................
l: Flag for Chborn
s: Flag for Chborn
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCHSURV -1 -1 -1 4 675 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxx.............................................
l: Flag for Chsurv
s: Flag for Chsurv
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QDURMARR -1 -1 -1 6 676 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxx....x........................................
l: Flag for Durmarr
s: Flag for Durmarr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMARRNO -1 -1 -1 6 677 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx.x.x.x....xxxxx.........................
l: Flag for Marrno
s: Flag for Marrno
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMARST -1 -1 -1 6 678 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Marst
s: Flag for Marst
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRELATE -1 -1 -1 7 679 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Relate
s: Flag for Relate
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSEX -1 -1 -1 6 680 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Sex
s: Flag for Sex
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBIRTHMO -1 -1 -1 8 681 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...x.xx.xx.......x..........xxxxxxx.......................
l: Flag for Birthmo, Birthqtr
s: Flag for Birthmo, Birthqtr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMARINYR -1 -1 -1 3 682 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx...................................................
l: Flag for Marrinyr
s: Flag for Marrinyr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBPL -1 -1 0 8 683 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Bpl, Nativity
s: Flag for Bpl, Nativity
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCITIZEN -1 -1 -1 8 684 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxx.xxx.x.x.x....xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Citizen
s: Flag for Citizen
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFBPL -1 -1 -1 8 685 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxxx.x.x.xxxx..............................
l: Flag for Fbpl, Nativity
s: Flag for Fbpl, Nativity
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFBPL2 -1 -1 -1 8 686 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Fbpl
s: Flag for Fbpl
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QFMTONG -1 -1 -1 4 687 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx.x............................................
l: Flag for Fmtongue
s: Flag for Fmtongue
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QLANGUAG -1 -1 -1 4 688 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxx...............xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Flag for Language, Speakeng
s: Flag for Language, Speakeng
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMBPL -1 -1 -1 8 689 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxxxxx.x.x.xxxx..............................
l: Flag for Mbpl, Nativity
s: Flag for Mbpl, Nativity
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMBPL2 -1 -1 -1 8 690 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Mbpl
s: Flag for Mbpl
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMMTONG -1 -1 -1 4 691 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx.x............................................
l: Flag for Mmtongue
s: Flag for Mmtongue
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMTONGUE -1 -1 -1 8 692 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxxx.xx.x.x.x.x.................................
l: Flag for Mtongue
s: Flag for Mtongue
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRACE -1 -1 -1 7 693 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .x.x.xx.xxxxxxxxxx.xxxxxx...xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Flag for Race, Racamind, Racasian, Racblk, Racpais, Racwht, 
s: Flag for Race, Racamind, Racasian, Racblk, Racpais, Racwht, 
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSPAN95 -1 -1 -1 6 694 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Span95
s: Flag for Span95
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSPANNAM -1 -1 -1 6 695 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx........................................
l: Flag for Spanname
s: Flag for Spanname
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSPEAKEN -1 -1 -1 4 696 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxx..x.........xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Speakeng
s: Flag for Speakeng
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QYRIMM -1 -1 -1 4 697 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxx............xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Yrimmig, Yrsusa1, Yrsusa2
s: Flag for Yrimmig, Yrsusa1, Yrsusa2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QYRNATUR -1 -1 -1 0 698 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .............x............................................
l: Flag for Yrnatur
s: Flag for Yrnatur
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QYRSPR -1 -1 -1 0 699 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.x...........................................
l: Flag for Years in Puerto Rico
s: Flag for Years in Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QEDUC -1 -1 -1 6 700 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Educrec, Higrade, Educ99
s: Flag for Educrec, Higrade, Educ99
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QLIT -1 -1 -1 4 701 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxxxxxx..........................................
l: Flag for Lit
s: Flag for Lit
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSCHLTYP -1 -1 -1 4 702 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................x.......................................
l: Flag for Schltype
s: Flag for Schltype
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSCHOOL -1 -1 -1 6 703 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xx.x.xx.xxxxxxxxxxx.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for School, Schltype
s: Flag for School, Schltype
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QACTIVIT -1 -1 -1 6 704 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Activity
s: Flag for Activity
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QCLASSWK -1 -1 -1 6 705 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ........xxxxxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Classwkr
s: Flag for Classwkr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QEMPSTAT -1 -1 -1 6 706 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xx...xxxxxxxxxx...xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Empstat, Labforce
s: Flag for Empstat, Labforce
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QHADNAJO -1 -1 -1 6 707 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Hadnajob
s: Flag for Hadnajob
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QHRSWORK -1 -1 -1 6 708 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xxxxxxxxxxxxxxxxxxxxxxxxxx................
l: Flag for Hrswork1 Hrswork2
s: Flag for Hrswork1 Hrswork2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QIND -1 -1 -1 8 709 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..........xxxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Ind, Ind1950
s: Flag for Ind, Ind1950
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QOCC -1 -1 -1 8 710 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  xxxxxxx.xxxxxxxxxx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Occ, Occ1950, SEI, Occscore, Occsoc, Labforce
s: Flag for Occ, Occ1950, SEI, Occscore, Occsoc, Labforce
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QQTRUNEM -1 -1 -1 6 711 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .....xx.xxxx....xx..........xxxxxxx.......................
l: Flag for Qtrunemp, Wksunemp, Mounemp, Durunemp
s: Flag for Qtrunemp, Wksunemp, Mounemp, Durunemp
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRCLASSW -1 -1 -1 6 712 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Rclasswk
s: Flag for Rclasswk
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QRIND -1 -1 -1 8 713 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Rind
s: Flag for Rind
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QROCC -1 -1 -1 8 714 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Rocc
s: Flag for Rocc
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QUCLASSW -1 -1 -1 6 715 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Uclasswk
s: Flag for Uclasswk
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QUIND -1 -1 -1 8 716 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Uind
s: Flag for Uind
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QUOCC -1 -1 -1 8 717 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Uocc
s: Flag for Uocc
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QWKSWORK -1 -1 -1 6 718 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Wkswork1, Wkswork2
s: Flag for Wkswork1, Wkswork2
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QWORKEDY -1 -1 -1 4 719 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Workedyr
s: Flag for Workedyr
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QYRLASTW -1 -1 -1 4 720 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ..................xxxxxxxxxxxxxxxxxxxxxxxx................
l: Flag for Yrlastwk
s: Flag for Yrlastwk
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QDEDUCTS -1 -1 -1 6 721 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Deducts
s: Flag for Deducts
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QINCBUSF -1 -1 -1 6 722 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Incbusfm
s: Flag for Incbusfm
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QINCNONW -1 -1 -1 6 723 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Incnonwg
s: Flag for Incnonwg
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QINCOTHE -1 -1 -1 6 724 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Incother, Inctot
s: Flag for Incother, Inctot
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QINCTOT -1 -1 -1 6 725 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................xx.......................xxxxx...........
l: Flag for Inctot
s: Flag for Inctot
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QINCWAGE -1 -1 -1 6 726 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................xx.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Incwage, Inctot, Incearn
s: Flag for Incwage, Inctot, Incearn
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGCIT5 -1 -1 -1 8 727 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Migcity5
s: Flag for Migcity5
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGDIS1 -1 -1 -1 8 728 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Migdist1
s: Flag for Migdist1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGDIS5 -1 -1 -1 8 729 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Migdist5
s: Flag for Migdist5
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGFAR1 -1 -1 -1 8 730 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Migfarm1
s: Flag for Migfarm1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGFAR5 -1 -1 -1 8 731 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Migfarm5
s: Flag for Migfarm5
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGMET1 -1 -1 -1 8 732 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Migmet1
s: Flag for Migmet1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGMET5 -1 -1 -1 8 733 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Migmet5
s: Flag for Migmet5
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGPLC1 -1 -1 -1 8 734 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x.............................xxxxxxxxxxx
l: Flag for Migplac1
s: Flag for Migplac1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGPLC5 -1 -1 -1 8 735 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x..xxxxxxxxxxxxxxxxxxxxxxxxxxxx...........
l: Flag for Migplac5, Migmet5, Migcity5, Migtype5, Migtyp00
s: Flag for Migplac5, Migmet5, Migcity5, Migtype5, Migtyp00
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGRAT1 -1 -1 -1 8 736 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x.............................xxxxxxxxxxx
l: Flag for Migrate1
s: Flag for Migrate1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGRAT5 -1 -1 -1 8 737 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x...x.x.xxxxxxxxxxxxxxxxxxxxxxx...........
l: Flag for Migrate5
s: Flag for Migrate5
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGSEA1 -1 -1 -1 8 738 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Migsea1
s: Flag for Migsea1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGSEA5 -1 -1 -1 8 739 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Migsea5
s: Flag for Migsea5
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGTYP1 -1 -1 -1 8 740 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Migtype1
s: Flag for Migtype1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QMIGTYP5 -1 -1 -1 8 741 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Migtype5, Migtyp00
s: Flag for Migtype5, Migtyp00
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSAMEPLA -1 -1 -1 8 742 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Sameplac
s: Flag for Sameplac
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSAMMET1 -1 -1 -1 8 743 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Samemet1
s: Flag for Samemet1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSAMMET5 -1 -1 -1 8 744 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x...........xxxxx.........................
l: Flag for Samemet5
s: Flag for Samemet5
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSAMSEA1 -1 -1 -1 8 745 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Samesea1
s: Flag for Samesea1
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSAMSEA5 -1 -1 -1 8 746 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Samesea5
s: Flag for Samesea5
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QBLIND -1 -1 -1 2 747 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.............................................
l: Flag for Blind
s: Flag for Blind
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QDEAF -1 -1 -1 2 748 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............x.............................................
l: Flag for Deaf
s: Flag for Deaf
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVETCHIL -1 -1 -1 8 749 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Vetchild
s: Flag for Vetchild
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVETOTHE -1 -1 -1 6 750 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Vetother
s: Flag for Vetother
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVETPER -1 -1 -1 4 751 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x...........xxxxxxxxxxxxxxxxxxxxxxxxx.x.x.
l: Flag for Vetper, Vetstat, Vet55x64, Vet75x80, Vet80x90, Vet9
s: Flag for Vetper, Vetstat, Vet55x64, Vet75x80, Vet80x90, Vet9
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVETSTAT -1 -1 -1 8 752 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.x.x.x.xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Flag for Vetstat, Vet55x64, Vet75x80, Vet80x90, Vet90x95, Ve
s: Flag for Vetstat, Vet55x64, Vet75x80, Vet80x90, Vet90x95, Ve
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVETWWI -1 -1 -1 6 753 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Vetwwi
s: Flag for Vetwwi
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QVETWWII -1 -1 -1 6 754 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................x........................................
l: Flag for Vetwwii
s: Flag for Vetwwii
c: "." -1 -1 "Not Available for this Year and Data Set"
I: QSSENROL -1 -1 -1 6 755 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................x.........................................
l: Flag for Ssenroll
s: Flag for Ssenroll
c: "." -1 -1 "Not Available for this Year and Data Set"
I: WIDOW 0 2 -1 2 756 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x....xxxxx.........................
l: Marriage ended by death
s: Marriage ended by death
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
I: PRICOPAR 1 2 -1 2 757 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Puerto Rican Parentage Indicator
s: Puerto Rican Parentage Indicator
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Neither parent born in Puerto Rico or parents'' birthplace n"
c: 2 -1 "One or both parents born in Puerto Rico"
I: NATIVPR 1 9 -1 9 758 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Nativity and parentage, Puerto Rico
s: Nativity and parentage, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Both parents born in U.S. state"
c: 2 -1 "Mother born in U.S. possession"
c: 3 -1 "Mother foreign born"
c: 4 -1 "Father born in U.S. possession"
c: 5 -1 "Father foreign born"
c: 6 -1 "Both parents born in U.S. possession"
c: 7 -1 "Father born in U.S. possession; mother foreign born"
c: 8 -1 "Mother born in U.S. possession; father foreign born"
c: 9 -1 "Both parents foreign born"
I: ANCESTR1 1 999 -1 999 759 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Ancestry, first response [general version]
s: Ancestry, first response [general version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Alsatian, Alsace-Lorraine"
c: 2 -1 "Andorran"
c: 3 -1 "Austrian"
c: 4 -1 "Tirolean"
c: 5 -1 "Basque"
c: 6 -1 "French Basque"
c: 8 -1 "Belgian"
c: 9 -1 "Flemish"
c: 10 -1 "Walloon"
c: 11 -1 "British"
c: 12 -1 "British Isles"
c: 13 -1 "Channel Islander"
c: 14 -1 "Gibraltan"
c: 15 -1 "Cornish"
c: 16 -1 "Corsican"
c: 17 -1 "Cypriot"
c: 18 -1 "Greek Cypriote"
c: 19 -1 "Turkish Cypriote"
c: 20 -1 "Danish"
c: 21 -1 "Dutch"
c: 22 -1 "English"
c: 23 -1 "Faeroe Islander"
c: 24 -1 "Finnish"
c: 25 -1 "Karelian"
c: 26 -1 "French"
c: 27 -1 "Lorrainian"
c: 28 -1 "Breton"
c: 29 -1 "Frisian"
c: 30 -1 "Friulian"
c: 32 -1 "German"
c: 33 -1 "Bavarian"
c: 34 -1 "Berliner"
c: 35 -1 "Hamburger"
c: 36 -1 "Hanoverian"
c: 37 -1 "Hessian"
c: 38 -1 "Lubecker"
c: 39 -1 "Pomeranian"
c: 40 -1 "Prussian"
c: 41 -1 "Saxon"
c: 42 -1 "Sudetenlander"
c: 43 -1 "Westphalian"
c: 46 -1 "Greek"
c: 47 -1 "Cretan"
c: 48 -1 "Cycladic Islander"
c: 49 -1 "Icelander"
c: 50 -1 "Irish"
c: 51 -1 "Italian"
c: 53 -1 "Abruzzi"
c: 54 -1 "Apulian"
c: 55 -1 "Basilicata"
c: 56 -1 "Calabrian"
c: 57 -1 "Amalfin"
c: 58 -1 "Emilia Romagna"
c: 59 -1 "Rome"
c: 60 -1 "Ligurian"
c: 61 -1 "Lombardian"
c: 62 -1 "Marches"
c: 63 -1 "Molise"
c: 64 -1 "Neapolitan"
c: 65 -1 "Piedmontese"
c: 66 -1 "Puglia"
c: 67 -1 "Sardinian"
c: 68 -1 "Sicilian"
c: 69 -1 "Tuscan"
c: 70 -1 "Trentino"
c: 71 -1 "Umbrian"
c: 72 -1 "Valle dAosta"
c: 73 -1 "Venetian"
c: 75 -1 "Lapp"
c: 76 -1 "Liechtensteiner"
c: 77 -1 "Luxemburger"
c: 78 -1 "Maltese"
c: 79 -1 "Manx"
c: 80 -1 "Monegasque"
c: 81 -1 "Northern Irelander"
c: 82 -1 "Norwegian"
c: 84 -1 "Portuguese"
c: 85 -1 "Azorean"
c: 86 -1 "Madeiran"
c: 87 -1 "Scotch Irish"
c: 88 -1 "Scottish"
c: 89 -1 "Swedish"
c: 90 -1 "Aland Islander"
c: 91 -1 "Swiss"
c: 92 -1 "Suisse"
c: 95 -1 "Romansch"
c: 96 -1 "Suisse Romane"
c: 97 -1 "Welsh"
c: 98 -1 "Scandinavian, Nordic"
c: 100 -1 "Albanian"
c: 101 -1 "Azerbaijani"
c: 102 -1 "Belourussian"
c: 103 -1 "Bulgarian"
c: 105 -1 "Carpathian"
c: 108 -1 "Cossack"
c: 109 -1 "Croatian"
c: 111 -1 "Czechoslovakian"
c: 112 -1 "Bohemian"
c: 115 -1 "Estonian"
c: 116 -1 "Livonian"
c: 117 -1 "Finno Ugrian"
c: 118 -1 "Mordovian"
c: 119 -1 "Voytak"
c: 120 -1 "Georgian"
c: 123 -1 "Gruziia"
c: 124 -1 "Rom"
c: 125 -1 "Hungarian"
c: 126 -1 "Magyar"
c: 128 -1 "Latvian"
c: 129 -1 "Lithuanian"
c: 130 -1 "Macedonian"
c: 132 -1 "North Caucasian"
c: 133 -1 "North Caucasian Turkic"
c: 140 -1 "Ossetian"
c: 142 -1 "Polish"
c: 143 -1 "Kashubian"
c: 144 -1 "Romanian"
c: 145 -1 "Bessarabian"
c: 146 -1 "Moldavian"
c: 147 -1 "Wallachian"
c: 148 -1 "Russian"
c: 150 -1 "Muscovite"
c: 152 -1 "Serbian"
c: 153 -1 "Slovak"
c: 154 -1 "Slovene"
c: 155 -1 "Sorb/Wend"
c: 156 -1 "Soviet Turkic"
c: 157 -1 "Bashkir"
c: 158 -1 "Chevash"
c: 159 -1 "Gagauz"
c: 160 -1 "Mesknetian"
c: 163 -1 "Yakut"
c: 164 -1 "Soviet Union, nec"
c: 165 -1 "Tatar"
c: 169 -1 "Uzbek"
c: 171 -1 "Ukrainian"
c: 176 -1 "Yugoslavian"
c: 178 -1 "Slav"
c: 179 -1 "Slavonian"
c: 181 -1 "Central European, nec"
c: 183 -1 "Northern European, nec"
c: 185 -1 "Southern European, nec"
c: 187 -1 "Western European, nec"
c: 190 -1 "Eastern European, nec"
c: 195 -1 "European, nec"
c: 200 -1 "Spaniard"
c: 201 -1 "Andalusian"
c: 202 -1 "Astorian"
c: 204 -1 "Catalonian"
c: 205 -1 "Balearic Islander"
c: 206 -1 "Galician"
c: 210 -1 "Mexican"
c: 211 -1 "Mexican American"
c: 213 -1 "Chicano/Chicana"
c: 218 -1 "Nuevo Mexicano"
c: 219 -1 "Californio"
c: 221 -1 "Costa Rican"
c: 222 -1 "Guatemalan"
c: 223 -1 "Honduran"
c: 224 -1 "Nicaraguan"
c: 225 -1 "Panamanian"
c: 226 -1 "Salvadoran"
c: 227 -1 "Latin American"
c: 231 -1 "Argentinean"
c: 232 -1 "Bolivian"
c: 233 -1 "Chilean"
c: 234 -1 "Colombian"
c: 235 -1 "Ecuadorian"
c: 236 -1 "Paraguayan"
c: 237 -1 "Peruvian"
c: 238 -1 "Uruguayan"
c: 239 -1 "Venezuelan"
c: 248 -1 "South American"
c: 261 -1 "Puerto Rican"
c: 271 -1 "Cuban"
c: 275 -1 "Dominican"
c: 290 -1 "Hispanic"
c: 291 -1 "Spanish"
c: 295 -1 "Spanish American"
c: 296 -1 "Other Spanish/Hispanic"
c: 300 -1 "Bahamian"
c: 301 -1 "Barbadian"
c: 302 -1 "Belizean"
c: 303 -1 "Bermudan"
c: 304 -1 "Cayman Islander"
c: 308 -1 "Jamaican"
c: 310 -1 "Dutch West Indies"
c: 311 -1 "Aruba Islander"
c: 312 -1 "St Maarten Islander"
c: 314 -1 "Trinidadian/Tobagonian"
c: 315 -1 "Trinidadian"
c: 316 -1 "Tobagonian"
c: 317 -1 "U.S. Virgin Islander"
c: 321 -1 "British Virgin Islander"
c: 322 -1 "British West Indian"
c: 323 -1 "Turks and Caicos Islander"
c: 324 -1 "Anguilla Islander"
c: 328 -1 "Dominica Islander"
c: 329 -1 "Grenadian"
c: 331 -1 "St Lucia Islander"
c: 332 -1 "French West Indies"
c: 333 -1 "Guadeloupe Islander"
c: 334 -1 "Cayenne"
c: 335 -1 "West Indian"
c: 336 -1 "Haitian"
c: 337 -1 "Other West Indian"
c: 360 -1 "Brazilian"
c: 365 -1 "San Andres"
c: 370 -1 "Guyanese/British Guiana"
c: 375 -1 "Providencia"
c: 380 -1 "Surinam/Dutch Guiana"
c: 400 -1 "Algerian"
c: 402 -1 "Egyptian"
c: 404 -1 "Libyan"
c: 406 -1 "Moroccan"
c: 407 -1 "Ifni"
c: 408 -1 "Tunisian"
c: 411 -1 "North African"
c: 412 -1 "Alhucemas"
c: 413 -1 "Berber"
c: 414 -1 "Rio de Oro"
c: 415 -1 "Bahraini"
c: 416 -1 "Iranian"
c: 417 -1 "Iraqi"
c: 419 -1 "Israeli"
c: 421 -1 "Jordanian"
c: 423 -1 "Kuwaiti"
c: 425 -1 "Lebanese"
c: 427 -1 "Saudi Arabian"
c: 429 -1 "Syrian"
c: 431 -1 "Armenian"
c: 434 -1 "Turkish"
c: 435 -1 "Yemeni"
c: 436 -1 "Omani"
c: 437 -1 "Muscat"
c: 438 -1 "Trucial Oman"
c: 439 -1 "Qatar"
c: 442 -1 "Kurdish"
c: 444 -1 "Kuria Muria Islander"
c: 465 -1 "Palestinian"
c: 466 -1 "Gazan"
c: 467 -1 "West Bank"
c: 470 -1 "South Yemeni"
c: 471 -1 "Aden"
c: 480 -1 "United Arab Emirates"
c: 482 -1 "Assyrian/Chaldean/Syriac"
c: 490 -1 "Middle Eastern"
c: 495 -1 "Arab"
c: 496 -1 "Other Arab"
c: 500 -1 "Angolan"
c: 502 -1 "Benin"
c: 504 -1 "Botswana"
c: 506 -1 "Burundian"
c: 508 -1 "Cameroonian"
c: 510 -1 "Cape Verdean"
c: 513 -1 "Chadian"
c: 515 -1 "Congolese"
c: 516 -1 "Congo-Brazzaville"
c: 519 -1 "Djibouti"
c: 520 -1 "Equatorial Guinea"
c: 522 -1 "Ethiopian"
c: 523 -1 "Eritrean"
c: 525 -1 "Gabonese"
c: 527 -1 "Gambian"
c: 529 -1 "Ghanian"
c: 530 -1 "Guinean"
c: 531 -1 "Guinea Bissau"
c: 532 -1 "Ivory Coast"
c: 534 -1 "Kenyan"
c: 538 -1 "Lesotho"
c: 541 -1 "Liberian"
c: 543 -1 "Madagascan"
c: 545 -1 "Malawian"
c: 546 -1 "Malian"
c: 549 -1 "Mozambican"
c: 550 -1 "Namibian"
c: 551 -1 "Niger"
c: 553 -1 "Nigerian"
c: 554 -1 "Fulani"
c: 555 -1 "Hausa"
c: 556 -1 "Ibo"
c: 557 -1 "Tiv"
c: 561 -1 "Rwandan"
c: 564 -1 "Senegalese"
c: 566 -1 "Sierra Leonean"
c: 568 -1 "Somalian"
c: 569 -1 "Swaziland"
c: 570 -1 "South African"
c: 571 -1 "Union of South Africa"
c: 572 -1 "Afrikaner"
c: 573 -1 "Natalian"
c: 574 -1 "Zulu"
c: 576 -1 "Sudanese"
c: 577 -1 "Dinka"
c: 578 -1 "Nuer"
c: 579 -1 "Fur"
c: 582 -1 "Tanzanian"
c: 583 -1 "Tanganyikan"
c: 584 -1 "Zanzibar Islande"
c: 586 -1 "Togo"
c: 588 -1 "Ugandan"
c: 589 -1 "Upper Voltan"
c: 591 -1 "Zairian"
c: 592 -1 "Zambian"
c: 593 -1 "Zimbabwean"
c: 594 -1 "African Islands"
c: 595 -1 "Other Subsaharan Africa"
c: 596 -1 "Central African"
c: 597 -1 "East African"
c: 598 -1 "West African"
c: 599 -1 "African"
c: 600 -1 "Afghan"
c: 601 -1 "Baluchi"
c: 602 -1 "Pathan"
c: 603 -1 "Bengali"
c: 607 -1 "Bhutanese"
c: 609 -1 "Nepali"
c: 615 -1 "Asian Indian"
c: 622 -1 "Andaman Islander"
c: 624 -1 "Andhra Pradesh"
c: 626 -1 "Assamese"
c: 628 -1 "Goanese"
c: 630 -1 "Gujarati"
c: 632 -1 "Karnatakan"
c: 634 -1 "Keralan"
c: 638 -1 "Maharashtran"
c: 640 -1 "Madrasi"
c: 642 -1 "Mysore"
c: 644 -1 "Naga"
c: 648 -1 "Pondicherry"
c: 650 -1 "Punjabi"
c: 656 -1 "Tamil"
c: 675 -1 "East Indies"
c: 680 -1 "Pakistani"
c: 690 -1 "Sri Lankan"
c: 691 -1 "Singhalese"
c: 692 -1 "Veddah"
c: 695 -1 "Maldivian"
c: 700 -1 "Burmese"
c: 702 -1 "Shan"
c: 703 -1 "Cambodian"
c: 704 -1 "Khmer"
c: 706 -1 "Chinese"
c: 707 -1 "Cantonese"
c: 708 -1 "Manchurian"
c: 709 -1 "Mandarin"
c: 712 -1 "Mongolian"
c: 714 -1 "Tibetan"
c: 716 -1 "Hong Kong"
c: 718 -1 "Macao"
c: 720 -1 "Filipino"
c: 730 -1 "Indonesian"
c: 740 -1 "Japanese"
c: 746 -1 "Ryukyu Islander"
c: 748 -1 "Okinawan"
c: 750 -1 "Korean"
c: 765 -1 "Laotian"
c: 766 -1 "Meo"
c: 768 -1 "Hmong"
c: 770 -1 "Malaysian"
c: 774 -1 "Singaporean"
c: 776 -1 "Thai"
c: 777 -1 "Black Thai"
c: 778 -1 "Western Lao"
c: 782 -1 "Taiwanese"
c: 785 -1 "Vietnamese"
c: 786 -1 "Katu"
c: 787 -1 "Ma"
c: 788 -1 "Mnong"
c: 790 -1 "Montagnard"
c: 792 -1 "Indochinese"
c: 793 -1 "Eurasian"
c: 795 -1 "Asian"
c: 796 -1 "Other Asian"
c: 800 -1 "Australian"
c: 801 -1 "Tasmanian"
c: 802 -1 "Australian Aborigine"
c: 803 -1 "New Zealander"
c: 808 -1 "Polynesian"
c: 810 -1 "Maori"
c: 811 -1 "Hawaiian"
c: 813 -1 "Part Hawaiian"
c: 814 -1 "Samoan"
c: 815 -1 "Tongan"
c: 816 -1 "Tokelauan"
c: 817 -1 "Cook Islander"
c: 818 -1 "Tahitian"
c: 819 -1 "Niuean"
c: 820 -1 "Micronesian"
c: 821 -1 "Guamanian"
c: 822 -1 "Chamorro Islander"
c: 823 -1 "Saipanese"
c: 824 -1 "Palauan"
c: 825 -1 "Marshall Islander"
c: 826 -1 "Kosraean"
c: 827 -1 "Ponapean"
c: 828 -1 "Chuukese"
c: 829 -1 "Yap Islander"
c: 830 -1 "Caroline Islander"
c: 831 -1 "Kiribatese"
c: 832 -1 "Nauruan"
c: 833 -1 "Tarawa Islander"
c: 834 -1 "Tinian Islander"
c: 840 -1 "Melanesian Islander"
c: 841 -1 "Fijian"
c: 843 -1 "New Guinean"
c: 844 -1 "Papuan"
c: 845 -1 "Solomon Islander"
c: 846 -1 "New Caledonian Islander"
c: 847 -1 "Vanuatuan"
c: 850 -1 "Pacific Islander"
c: 860 -1 "Oceania"
c: 862 -1 "Chamolinian"
c: 863 -1 "Reserved Codes"
c: 870 -1 "Other Pacific"
c: 900 -1 "Afro-American"
c: 902 -1 "African-American"
c: 913 -1 "Central American Indian"
c: 914 -1 "South American Indian"
c: 920 -1 "American Indian  (all tribes)"
c: 921 -1 "Aleut"
c: 922 -1 "Eskimo"
c: 923 -1 "Inuit"
c: 924 -1 "White/Caucasian"
c: 930 -1 "Greenlander"
c: 931 -1 "Canadian"
c: 933 -1 "Newfoundland"
c: 934 -1 "Nova Scotian"
c: 935 -1 "French Canadian"
c: 936 -1 "Acadian"
c: 939 -1 "American"
c: 940 -1 "United States"
c: 941 -1 "Alabama"
c: 942 -1 "Alaska"
c: 943 -1 "Arizona"
c: 944 -1 "Arkansas"
c: 945 -1 "California"
c: 946 -1 "Colorado"
c: 947 -1 "Connecticut"
c: 948 -1 "District of Columbia"
c: 949 -1 "Delaware"
c: 950 -1 "Florida"
c: 951 -1 "Georgia"
c: 952 -1 "Idaho"
c: 953 -1 "Illinois"
c: 954 -1 "Indiana"
c: 955 -1 "Iowa"
c: 956 -1 "Kansas"
c: 957 -1 "Kentucky"
c: 958 -1 "Louisiana"
c: 959 -1 "Maine"
c: 960 -1 "Maryland"
c: 961 -1 "Massachusetts"
c: 962 -1 "Michigan"
c: 963 -1 "Minnesota"
c: 964 -1 "Mississippi"
c: 965 -1 "Missouri"
c: 966 -1 "Montana"
c: 967 -1 "Nebraska"
c: 968 -1 "Nevada"
c: 969 -1 "New Hampshire"
c: 970 -1 "New Jersey"
c: 971 -1 "New Mexico"
c: 972 -1 "New York"
c: 973 -1 "North Carolina"
c: 974 -1 "North Dakota"
c: 975 -1 "Ohio"
c: 976 -1 "Oklahoma"
c: 977 -1 "Oregon"
c: 978 -1 "Pennsylvania"
c: 979 -1 "Rhode Island"
c: 980 -1 "South Carolina"
c: 981 -1 "South Dakota"
c: 982 -1 "Tennessee"
c: 983 -1 "Texas"
c: 984 -1 "Utah"
c: 985 -1 "Vermont"
c: 986 -1 "Virginia"
c: 987 -1 "Washington"
c: 988 -1 "West Virginia"
c: 989 -1 "Wisconsin"
c: 990 -1 "Wyoming"
c: 993 -1 "Southerner"
c: 994 -1 "North American"
c: 995 -1 "Mixture"
c: 996 -1 "Uncodable"
c: 998 -1 "Other"
c: 999 -1 "Not Reported"
I: ANCEST1D 10 9990 -1 9990 762 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Ancestry, first response [detailed version]
s: Ancestry, first response [detailed version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 10 -1 "Alsatian"
c: 20 -1 "Andorran"
c: 30 -1 "Austrian"
c: 40 -1 "Tirolean"
c: 51 -1 "Basque (1980)"
c: 52 -1 "Spanish Basque (1980)"
c: 53 -1 "Basque (1990-2000,ACS)"
c: 54 -1 "Spanish Basque (1990-2000, 2001-2004 ACS)"
c: 60 -1 "French Basque"
c: 80 -1 "Belgian"
c: 90 -1 "Flemish"
c: 100 -1 "Walloon"
c: 110 -1 "British"
c: 120 -1 "British Isles"
c: 130 -1 "Channel Islander"
c: 140 -1 "Gibraltan"
c: 150 -1 "Cornish"
c: 160 -1 "Corsican"
c: 170 -1 "Cypriot"
c: 180 -1 "Greek Cypriote"
c: 190 -1 "Turkish Cypriote"
c: 200 -1 "Danish"
c: 210 -1 "Dutch"
c: 211 -1 "Dutch-French-Irish"
c: 212 -1 "Dutch-German-Irish"
c: 213 -1 "Dutch-Irish-Scotch"
c: 220 -1 "English"
c: 221 -1 "English-French-German"
c: 222 -1 "English-French-Irish"
c: 223 -1 "English-German-Irish"
c: 224 -1 "English-German-Swedish"
c: 225 -1 "English-Irish-Scotch"
c: 226 -1 "English-Scotch-Welsh"
c: 230 -1 "Faeroe Islander"
c: 240 -1 "Finnish"
c: 250 -1 "Karelian"
c: 260 -1 "French (1980)"
c: 261 -1 "French (1990-2000,ACS, PRCS)"
c: 262 -1 "Occitan (1990-2000)"
c: 270 -1 "Lorrainian"
c: 280 -1 "Breton"
c: 290 -1 "Frisian"
c: 300 -1 "Friulian"
c: 320 -1 "German (1980)"
c: 321 -1 "German (1990-2000, ACS, PRCS)"
c: 322 -1 "Pennsylvania German (1990-2000, ACS, PRCS)"
c: 323 -1 "East German (1990-2000)"
c: 324 -1 "West German (1990-2000)"
c: 325 -1 "German-French-Irish"
c: 326 -1 "German-Irish-Italian"
c: 327 -1 "German-Irish-Scotch"
c: 328 -1 "German-Irish-Swedish"
c: 330 -1 "Bavarian"
c: 340 -1 "Berliner"
c: 350 -1 "Hamburger"
c: 360 -1 "Hanoverian"
c: 370 -1 "Hessian"
c: 380 -1 "Lubecker"
c: 390 -1 "Pomeranian (1980)"
c: 391 -1 "Pomeranian (1990-2000)"
c: 392 -1 "Silesian (1990-2000)"
c: 400 -1 "Prussian"
c: 410 -1 "Saxon"
c: 420 -1 "Sudetenlander"
c: 430 -1 "Westphalian"
c: 460 -1 "Greek"
c: 470 -1 "Cretan"
c: 480 -1 "Cycladic Islander, Dodecanese Islander, Peloponnesian"
c: 490 -1 "Icelander"
c: 500 -1 "Irish, various subheads,"
c: 501 -1 "Celtic"
c: 510 -1 "Italian (1980)"
c: 511 -1 "Italian (1990-2000, ACS, PRCS)"
c: 512 -1 "Trieste (1990-2000)"
c: 513 -1 "San Marino (1990-2000)"
c: 530 -1 "Abruzzi"
c: 540 -1 "Apulian"
c: 550 -1 "Basilicata, Lucanian"
c: 560 -1 "Calabrian"
c: 570 -1 "Amalfin"
c: 580 -1 "Emilia Romagna"
c: 590 -1 "Rome"
c: 600 -1 "Ligurian"
c: 610 -1 "Lombardian"
c: 620 -1 "Marches"
c: 630 -1 "Molise"
c: 640 -1 "Neapolitan"
c: 650 -1 "Piedmontese"
c: 660 -1 "Puglia"
c: 670 -1 "Sardinian"
c: 680 -1 "Sicilian"
c: 690 -1 "Tuscan"
c: 700 -1 "Trentino"
c: 710 -1 "Umbrian"
c: 720 -1 "Valle dAosta"
c: 730 -1 "Venetian"
c: 750 -1 "Lapp"
c: 760 -1 "Liechtensteiner"
c: 770 -1 "Luxemburger"
c: 780 -1 "Maltese"
c: 790 -1 "Manx"
c: 800 -1 "Monegasque"
c: 810 -1 "Northern Irelander"
c: 820 -1 "Norwegian"
c: 840 -1 "Portuguese"
c: 850 -1 "Azorean"
c: 860 -1 "Madeiran"
c: 870 -1 "Scotch Irish"
c: 880 -1 "Scottish"
c: 890 -1 "Swedish"
c: 900 -1 "Aland Islander"
c: 910 -1 "Swiss"
c: 920 -1 "Suisse (1980)"
c: 921 -1 "Suisse (1990-2000)"
c: 922 -1 "Switzer (1990-2000)"
c: 950 -1 "Romansch (1980)"
c: 951 -1 "Romansch (1990-2000)"
c: 952 -1 "Ladin (1990-2000)"
c: 960 -1 "Suisse Romane (1990-2000)"
c: 961 -1 "Suisse Romane (1980)"
c: 962 -1 "Ticino"
c: 970 -1 "Welsh"
c: 980 -1 "Scandinavian, Nordic"
c: 1000 -1 "Albanian"
c: 1010 -1 "Azerbaijani"
c: 1020 -1 "Belourussian"
c: 1030 -1 "Bulgarian"
c: 1050 -1 "Carpathian"
c: 1051 -1 "Carpatho Rusyn"
c: 1052 -1 "Rusyn"
c: 1080 -1 "Cossack (1990-2000)"
c: 1081 -1 "Cossack (1980)"
c: 1082 -1 "Turkestani (1990-2000)"
c: 1083 -1 "Kirghiz (1980)"
c: 1084 -1 "Turcoman (1980)"
c: 1090 -1 "Croatian"
c: 1110 -1 "Czechoslovakian"
c: 1111 -1 "Czech"
c: 1120 -1 "Bohemian (1980)"
c: 1121 -1 "Bohemian (1990-2000, ACS, PRCS)"
c: 1122 -1 "Moravian (1990-2000)"
c: 1150 -1 "Estonian"
c: 1160 -1 "Livonian"
c: 1170 -1 "Finno Ugrian (1990-2000)"
c: 1171 -1 "Udmert"
c: 1180 -1 "Mordovian"
c: 1190 -1 "Voytak"
c: 1200 -1 "Georgian"
c: 1221 -1 "Volga"
c: 1222 -1 "German from Russia (1990-2000); German Russian (ACS)"
c: 1230 -1 "Gruziia (1990-2000)"
c: 1240 -1 "Rom"
c: 1250 -1 "Hungarian"
c: 1260 -1 "Magyar"
c: 1280 -1 "Latvian"
c: 1290 -1 "Lithuanian"
c: 1300 -1 "Macedonian"
c: 1320 -1 "North Caucasian"
c: 1330 -1 "North Caucasian Turkic (1990-2000)"
c: 1400 -1 "Ossetian"
c: 1420 -1 "Polish"
c: 1430 -1 "Kashubian"
c: 1440 -1 "Romanian (1990-2000, ACS, PRCS)"
c: 1441 -1 "Romanian (1980)"
c: 1442 -1 "Transylvanian"
c: 1450 -1 "Bessarabian (1980)"
c: 1451 -1 "Bessarabian (1990-2000)"
c: 1452 -1 "Bucovina"
c: 1460 -1 "Moldavian"
c: 1470 -1 "Wallachian"
c: 1480 -1 "Russian"
c: 1500 -1 "Muscovite"
c: 1520 -1 "Serbian (1980)"
c: 1521 -1 "Serbian (1990-2000, ACS, PRCS)"
c: 1522 -1 "Bosnian (1990), Herzegovinian (2000, ACS, PRCS)"
c: 1523 -1 "Montenegin (1990-2000)"
c: 1530 -1 "Slovak"
c: 1540 -1 "Slovene"
c: 1550 -1 "Sorb/Wend"
c: 1560 -1 "Soviet Turkic (1990-2000)"
c: 1570 -1 "Bashkir"
c: 1580 -1 "Chevash"
c: 1590 -1 "Gagauz (1990-2000)"
c: 1600 -1 "Mesknetian (1990-2000)"
c: 1630 -1 "Yakut"
c: 1640 -1 "Soviet Union, nec"
c: 1650 -1 "Tatar (1990-2000)"
c: 1651 -1 "Tatar (1980)"
c: 1652 -1 "Crimean (1980)"
c: 1653 -1 "Tuvinian (1990-2000)"
c: 1654 -1 "Soviet Central Asian (1990-2000)"
c: 1655 -1 "Tadzhik (1980, 2000)"
c: 1690 -1 "Uzbek"
c: 1710 -1 "Ukrainian (1980)"
c: 1711 -1 "Ukrainian (1990-2000, ACS, PRCS)"
c: 1712 -1 "Ruthenian (1980)"
c: 1713 -1 "Ruthenian (1990-2000)"
c: 1714 -1 "Lemko"
c: 1715 -1 "Bioko"
c: 1716 -1 "Hesel"
c: 1717 -1 "Windish"
c: 1760 -1 "Yugoslavian"
c: 1780 -1 "Slav"
c: 1790 -1 "Slavonian"
c: 1810 -1 "Central European, nec"
c: 1830 -1 "Northern European, nec"
c: 1850 -1 "Southern European, nec"
c: 1870 -1 "Western European, nec"
c: 1900 -1 "Eastern European, nec"
c: 1950 -1 "European, nec"
c: 2000 -1 "Spaniard (1980)"
c: 2001 -1 "Spaniard (1990-2000, ACS, PRCS)"
c: 2002 -1 "Castillan (1990-2000)"
c: 2003 -1 "Velencian (1990-2000)"
c: 2010 -1 "Andalusian (1990-2000)"
c: 2020 -1 "Asturian (1990-2000)"
c: 2040 -1 "Catalonian"
c: 2050 -1 "Balearic Islander (1980)"
c: 2051 -1 "Balearic Islander (1990-2000)"
c: 2052 -1 "Canary Islander (1990-2000)"
c: 2060 -1 "Galician (1980)"
c: 2061 -1 "Gallego (1990-2000)"
c: 2062 -1 "Galician (1990-2000)"
c: 2100 -1 "Mexican"
c: 2101 -1 "Mexican (1990-2000, ACS, PRCS)"
c: 2102 -1 "Mexicano/Mexicana (1990-2000, ACS, PRCS)"
c: 2110 -1 "Mexican American"
c: 2111 -1 "Mexican American Indian"
c: 2130 -1 "Chicano/Chicana"
c: 2180 -1 "Nuevo Mexicano"
c: 2181 -1 "Nuevo Mexicano (1990-2000)"
c: 2182 -1 "La Raza (1990-2000)"
c: 2183 -1 "Mexican state (1990-2000, ACS, PRCS)"
c: 2184 -1 "Tejano/Tejana (1990-2000)"
c: 2190 -1 "Californio"
c: 2210 -1 "Costa Rican"
c: 2220 -1 "Guatemalan"
c: 2230 -1 "Honduran"
c: 2240 -1 "Nicaraguan"
c: 2250 -1 "Panamanian (1980)"
c: 2251 -1 "Panamanian (1990-2000, ACS, PRCS)"
c: 2252 -1 "Canal Zone (1990-2000)"
c: 2260 -1 "Salvadoran"
c: 2270 -1 "Latin American (1980)"
c: 2271 -1 "Central American (1990-2000, ACS, PRCS)"
c: 2272 -1 "Latin American (1990-2000, ACS, PRCS)"
c: 2273 -1 "Latino/Latina (1990-2000, ACS, PRCS)"
c: 2274 -1 "Latin (1990-2000, ACS, PRCS)"
c: 2310 -1 "Argentinean"
c: 2320 -1 "Bolivian"
c: 2330 -1 "Chilean"
c: 2340 -1 "Colombian"
c: 2350 -1 "Ecuadorian"
c: 2360 -1 "Paraguayan"
c: 2370 -1 "Peruvian"
c: 2380 -1 "Uruguayan"
c: 2390 -1 "Venezuelan"
c: 2480 -1 "South American (1980)"
c: 2481 -1 "South American (1990-2000, ACS, PRCS)"
c: 2482 -1 "Criollo/Criolla (1990-2000)"
c: 2610 -1 "Puerto Rican"
c: 2710 -1 "Cuban"
c: 2750 -1 "Dominican"
c: 2900 -1 "Hispanic"
c: 2910 -1 "Spanish"
c: 2950 -1 "Spanish American"
c: 2960 -1 "Other Spanish/Hispanic"
c: 3000 -1 "Bahamian"
c: 3010 -1 "Barbadian"
c: 3020 -1 "Belizean"
c: 3030 -1 "Bermudan"
c: 3040 -1 "Cayman Islander"
c: 3080 -1 "Jamaican"
c: 3100 -1 "Dutch West Indies"
c: 3110 -1 "Aruba Islander"
c: 3120 -1 "St Maarten Islander"
c: 3140 -1 "Trinidadian/Tobagonian"
c: 3150 -1 "Trinidadian"
c: 3160 -1 "Tobagonian"
c: 3170 -1 "U.S. Virgin Islander (1980)"
c: 3171 -1 "U.S. Virgin Islander (1990-2000)"
c: 3172 -1 "St. Croix Islander (1990-2000)"
c: 3173 -1 "St. John Islander (1990-2000)"
c: 3174 -1 "St. Thomas Islander (1990-2000)"
c: 3210 -1 "British Virgin Islander (1980)"
c: 3211 -1 "British Virgin Islander (1990-2000)"
c: 3212 -1 "Antigua (1990-2000, ACS, PRCS)"
c: 3220 -1 "British West Indian"
c: 3230 -1 "Turks and Caicos Islander"
c: 3240 -1 "Anguilla Islander (1980)"
c: 3241 -1 "Anguilla Islander (1990-2000)"
c: 3242 -1 "Montserrat Islander (1990-2000)"
c: 3243 -1 "Kitts/Nevis Islander (1990-2000)"
c: 3244 -1 "St. Christopher (1980)"
c: 3245 -1 "St Vincent Islander (1990); Vincent-Grenadine Islander (2000"
c: 3280 -1 "Dominica Islander"
c: 3290 -1 "Grenadian"
c: 3310 -1 "St Lucia Islander"
c: 3320 -1 "French West Indian"
c: 3330 -1 "Guadeloupe Islander"
c: 3340 -1 "Cayenne"
c: 3350 -1 "West Indian (1990-2000, ACS, PRCS)"
c: 3351 -1 "West Indian (1980)"
c: 3352 -1 "Caribbean (1980)"
c: 3353 -1 "Arawak (1980)"
c: 3360 -1 "Haitian"
c: 3370 -1 "Other West Indian"
c: 3600 -1 "Brazilian"
c: 3650 -1 "San Andres"
c: 3700 -1 "Guyanese/British Guiana"
c: 3750 -1 "Providencia"
c: 3800 -1 "Surinam/Dutch Guiana"
c: 4000 -1 "Algerian"
c: 4020 -1 "Egyptian"
c: 4040 -1 "Libyan"
c: 4060 -1 "Moroccan (1990-2000, ACS, PRCS)"
c: 4061 -1 "Moroccan (1980)"
c: 4062 -1 "Moor (1980)"
c: 4070 -1 "Ifni"
c: 4080 -1 "Tunisian"
c: 4110 -1 "North African"
c: 4120 -1 "Alhucemas"
c: 4130 -1 "Berber"
c: 4140 -1 "Rio de Oro"
c: 4150 -1 "Bahraini"
c: 4160 -1 "Iranian"
c: 4170 -1 "Iraqi"
c: 4190 -1 "Israeli"
c: 4210 -1 "Jordanian"
c: 4220 -1 "Transjordan"
c: 4230 -1 "Kuwaiti"
c: 4250 -1 "Lebanese"
c: 4270 -1 "Saudi Arabian"
c: 4290 -1 "Syrian (1990-2000, ACS, PRCS)"
c: 4291 -1 "Syrian (1980)"
c: 4292 -1 "Latakian (1980)"
c: 4293 -1 "Jebel Druse (1980)"
c: 4310 -1 "Armenian"
c: 4340 -1 "Turkish"
c: 4350 -1 "Yemeni"
c: 4360 -1 "Omani"
c: 4370 -1 "Muscat"
c: 4380 -1 "Trucial Oman"
c: 4390 -1 "Qatar"
c: 4410 -1 "Bedouin"
c: 4420 -1 "Kurdish"
c: 4440 -1 "Kuria Muria Islander"
c: 4650 -1 "Palestinian"
c: 4660 -1 "Gazan"
c: 4670 -1 "West Bank"
c: 4700 -1 "South Yemeni"
c: 4710 -1 "Aden"
c: 4800 -1 "United Arab Emirates"
c: 4820 -1 "Assyrian/Chaldean/Syriac (1990-2000)"
c: 4821 -1 "Assyrian"
c: 4822 -1 "Syriac (1980, 2000)"
c: 4823 -1 "Chaldean (2000, ACS, PRCS)"
c: 4900 -1 "Middle Eastern"
c: 4950 -1 "Arab"
c: 4951 -1 "Arabic (1990-2000, ACS, PRCS)"
c: 4960 -1 "Other Arab"
c: 5000 -1 "Angolan"
c: 5020 -1 "Benin"
c: 5040 -1 "Botswana"
c: 5060 -1 "Burundian"
c: 5080 -1 "Cameroonian"
c: 5100 -1 "Cape Verdean"
c: 5120 -1 "Central African Republic"
c: 5130 -1 "Chadian"
c: 5150 -1 "Congolese"
c: 5160 -1 "Congo-Brazzaville"
c: 5190 -1 "Djibouti"
c: 5200 -1 "Equatorial Guinea"
c: 5210 -1 "Corsico Islander"
c: 5220 -1 "Ethiopian"
c: 5230 -1 "Eritrean"
c: 5250 -1 "Gabonese"
c: 5270 -1 "Gambian"
c: 5290 -1 "Ghanian"
c: 5300 -1 "Guinean"
c: 5310 -1 "Guinea Bissau"
c: 5320 -1 "Ivory Coast"
c: 5340 -1 "Kenyan"
c: 5380 -1 "Lesotho"
c: 5410 -1 "Liberian"
c: 5430 -1 "Madagascan"
c: 5450 -1 "Malawian"
c: 5460 -1 "Malian"
c: 5470 -1 "Mauritanian"
c: 5490 -1 "Mozambican"
c: 5500 -1 "Namibian"
c: 5510 -1 "Niger"
c: 5530 -1 "Nigerian"
c: 5540 -1 "Fulani"
c: 5550 -1 "Hausa"
c: 5560 -1 "Ibo"
c: 5570 -1 "Tiv (1980)"
c: 5571 -1 "Tiv (1990-2000)"
c: 5572 -1 "Yoruba (1990-2000)"
c: 5610 -1 "Rwandan"
c: 5640 -1 "Senegalese"
c: 5660 -1 "Sierra Leonean"
c: 5680 -1 "Somalian"
c: 5690 -1 "Swaziland"
c: 5700 -1 "South African"
c: 5710 -1 "Union of South Africa"
c: 5720 -1 "Afrikaner"
c: 5730 -1 "Natalian"
c: 5740 -1 "Zulu"
c: 5760 -1 "Sudanese"
c: 5770 -1 "Dinka"
c: 5780 -1 "Nuer"
c: 5790 -1 "Fur"
c: 5800 -1 "Baggara"
c: 5820 -1 "Tanzanian"
c: 5830 -1 "Tanganyikan"
c: 5840 -1 "Zanzibar"
c: 5860 -1 "Togo"
c: 5880 -1 "Ugandan"
c: 5890 -1 "Upper Voltan"
c: 5900 -1 "Voltan"
c: 5910 -1 "Zairian"
c: 5920 -1 "Zambian"
c: 5930 -1 "Zimbabwean"
c: 5940 -1 "African Islands (1980)"
c: 5941 -1 "African Islands (1990-2000)"
c: 5942 -1 "Mauritius (1990-2000)"
c: 5950 -1 "Other Subsaharan Africa"
c: 5960 -1 "Central African, Middle Congo"
c: 5970 -1 "East African"
c: 5980 -1 "West African"
c: 5990 -1 "African"
c: 6000 -1 "Afghan"
c: 6010 -1 "Baluchi"
c: 6020 -1 "Pathan"
c: 6030 -1 "Bengali (1980)"
c: 6031 -1 "Bangladeshi (1990-2000, ACS, PRCS)"
c: 6032 -1 "Bengali (1990-2000, ACS, PRCS)"
c: 6070 -1 "Bhutanese"
c: 6090 -1 "Nepali"
c: 6150 -1 "Asian Indian (1980)"
c: 6151 -1 "India (1990-2000, ACS, PRCS)"
c: 6152 -1 "East Indian (1990-2000, ACS, PRCS)"
c: 6153 -1 "Madya Pradesh (1990-2000)"
c: 6154 -1 "Orissa (1990-2000)"
c: 6155 -1 "Rajasthani (1990-2000)"
c: 6156 -1 "Sikkim (1990-2000)"
c: 6157 -1 "Uttar Pradesh (1990-2000)"
c: 6220 -1 "Andaman Islander"
c: 6240 -1 "Andhra Pradesh"
c: 6260 -1 "Assamese"
c: 6280 -1 "Goanese"
c: 6300 -1 "Gujarati"
c: 6320 -1 "Karnatakan"
c: 6340 -1 "Keralan"
c: 6380 -1 "Maharashtran"
c: 6400 -1 "Madrasi"
c: 6420 -1 "Mysore"
c: 6440 -1 "Naga"
c: 6480 -1 "Pondicherry"
c: 6500 -1 "Punjabi"
c: 6560 -1 "Tamil"
c: 6750 -1 "East Indies (1990-2000)"
c: 6800 -1 "Pakistani (1980)"
c: 6801 -1 "Pakistani (1990-2000, ACS, PRCS)"
c: 6802 -1 "Kashmiri (1990-2000)"
c: 6900 -1 "Sri Lankan"
c: 6910 -1 "Singhalese"
c: 6920 -1 "Veddah"
c: 6950 -1 "Maldivian"
c: 7000 -1 "Burmese (1990-2000, ACS, PRCS)"
c: 7001 -1 "Burmese (1980)"
c: 7002 -1 "Burman (1980)"
c: 7020 -1 "Shan"
c: 7030 -1 "Cambodian"
c: 7040 -1 "Khmer"
c: 7060 -1 "Chinese"
c: 7070 -1 "Cantonese (1980)"
c: 7071 -1 "Cantonese (1990-2000, ACS, PRCS)"
c: 7072 -1 "Formosan (1990-2000)"
c: 7080 -1 "Manchurian"
c: 7090 -1 "Mandarin (1990-2000)"
c: 7120 -1 "Mongolian (1980)"
c: 7121 -1 "Mongolian (1990-2000, ACS, PRCS)"
c: 7122 -1 "Kalmyk (1990-2000)"
c: 7140 -1 "Tibetan"
c: 7160 -1 "Hong Kong (1990-2000)"
c: 7161 -1 "Hong Kong (1980)"
c: 7162 -1 "Eastern Archipelgo (1980)"
c: 7180 -1 "Macao"
c: 7200 -1 "Filipino"
c: 7300 -1 "Indonesian (1980)"
c: 7301 -1 "Indonesian (1990-2000, ACS, PRCS)"
c: 7302 -1 "Borneo (1990-2000)"
c: 7303 -1 "Java (1990-2000)"
c: 7304 -1 "Sumatran (1990-2000)"
c: 7400 -1 "Japanese (1980)"
c: 7401 -1 "Japanese (1990-2000, ACS, PRCS)"
c: 7402 -1 "Issei (1990-2000)"
c: 7403 -1 "Nisei (1990-2000)"
c: 7404 -1 "Sansei (1990-2000)"
c: 7405 -1 "Yonsei (1990-2000)"
c: 7406 -1 "Gosei (1990-2000)"
c: 7460 -1 "Ryukyu Islander"
c: 7480 -1 "Okinawan"
c: 7500 -1 "Korean"
c: 7650 -1 "Laotian"
c: 7660 -1 "Meo"
c: 7680 -1 "Hmong"
c: 7700 -1 "Malaysian (1980)"
c: 7701 -1 "Malaysian (1990-2000, ACS, PRCS)"
c: 7702 -1 "North Borneo (1990-2000)"
c: 7740 -1 "Singaporean"
c: 7760 -1 "Thai"
c: 7770 -1 "Black Thai"
c: 7780 -1 "Western Lao"
c: 7820 -1 "Taiwanese"
c: 7850 -1 "Vietnamese, Annamese"
c: 7860 -1 "Katu"
c: 7870 -1 "Ma"
c: 7880 -1 "Mnong"
c: 7900 -1 "Montagnard"
c: 7920 -1 "Indochinese"
c: 7930 -1 "Eurasian"
c: 7931 -1 "Amerasian (1990-2000, ACS, PRCS)"
c: 7950 -1 "Asian"
c: 7960 -1 "Other Asian"
c: 8000 -1 "Australian"
c: 8010 -1 "Tasmanian"
c: 8020 -1 "Australian Aborigine (1990-2000)"
c: 8030 -1 "New Zealander"
c: 8080 -1 "Polynesian (1990-2000, ACS, PRCS)"
c: 8081 -1 "Polynesian (1980)"
c: 8082 -1 "Norfolk Islander (1980)"
c: 8090 -1 "Kapinagamarangan (1990-2000)"
c: 8091 -1 "Kapinagamarangan (1980)"
c: 8092 -1 "Nukuoroan (1980)"
c: 8100 -1 "Maori"
c: 8110 -1 "Hawaiian"
c: 8130 -1 "Part Hawaiian"
c: 8140 -1 "Samoan (1990-2000, ACS, PRCS)"
c: 8141 -1 "Samoan (1980)"
c: 8142 -1 "American Samoan (1980)"
c: 8143 -1 "French Samoan"
c: 8144 -1 "Part Samoan (1990-2000)"
c: 8150 -1 "Tongan"
c: 8160 -1 "Tokelauan"
c: 8170 -1 "Cook Islander"
c: 8180 -1 "Tahitian, French Polynesian, Society Islander"
c: 8190 -1 "Niuean"
c: 8200 -1 "Micronesian (1990-2000, ACS, PRCS)"
c: 8201 -1 "Micronesian (1980)"
c: 8202 -1 "U.S. Trust Terr of the Pacific (1980)"
c: 8210 -1 "Guamanian"
c: 8220 -1 "Chamorro Islander"
c: 8230 -1 "Saipanese (1990-2000)"
c: 8231 -1 "Saipanese (1980)"
c: 8232 -1 "Norther Marianas (1980)"
c: 8240 -1 "Palauan"
c: 8250 -1 "Marshall Islander"
c: 8260 -1 "Kosraean"
c: 8270 -1 "Ponapean (1990-2000)"
c: 8271 -1 "Ponapean (1980)"
c: 8272 -1 "Mokilese (1980)"
c: 8273 -1 "Ngatikese (1980)"
c: 8274 -1 "Pingelapese (1980)"
c: 8280 -1 "Chuukese (1990-2000)"
c: 8281 -1 "Hall Islander (1980)"
c: 8282 -1 "Mortlockese (1980)"
c: 8283 -1 "Namanouito (1980)"
c: 8284 -1 "Pulawatese (1980)"
c: 8285 -1 "Truk Islander"
c: 8290 -1 "Yap Islander"
c: 8300 -1 "Caroline Islander (1990-2000)"
c: 8301 -1 "Caroline Islander (1980)"
c: 8302 -1 "Lamotrekese (1980)"
c: 8303 -1 "Ulithian (1980)"
c: 8304 -1 "Woleaian (1980)"
c: 8310 -1 "Kiribatese"
c: 8320 -1 "Nauruan"
c: 8330 -1 "Tarawa Islander (1990-2000)"
c: 8340 -1 "Tinian Islander (1990-2000)"
c: 8400 -1 "Melanesian Islander"
c: 8410 -1 "Fijian"
c: 8430 -1 "New Guinean"
c: 8440 -1 "Papuan"
c: 8450 -1 "Solomon Islander"
c: 8460 -1 "New Caledonian Islander"
c: 8470 -1 "Vanuatuan"
c: 8500 -1 "Pacific Islander (1990-2000, ACS, PRCS)"
c: 8501 -1 "Campbell Islander (1980)"
c: 8502 -1 "Christmas Islander (1980)"
c: 8503 -1 "Kermadec Islander (1980)"
c: 8504 -1 "Midway Islander (1980)"
c: 8505 -1 "Phoenix Islander (1980)"
c: 8506 -1 "Wake Islander (1980)"
c: 8600 -1 "Oceania"
c: 8620 -1 "Chamolinian (1990-2000)"
c: 8630 -1 "Reserved Codes"
c: 8700 -1 "Other Pacific"
c: 9000 -1 "Afro-American"
c: 9001 -1 "Afro-American (1990-2000, ACS, PRCS)"
c: 9002 -1 "Black (1990-2000, ACS, PRCS)"
c: 9003 -1 "Negro (1990-2000, ACS, PRCS)"
c: 9004 -1 "Nonwhite (1990-2000)"
c: 9005 -1 "Colored (1990-2000)"
c: 9006 -1 "Creole (1990-2000, ACS, PRCS)"
c: 9007 -1 "Mulatto (1990-2000)"
c: 9008 -1 "Afro"
c: 9020 -1 "African-American (1990-2000, ACS, PRCS)"
c: 9130 -1 "Central American Indian (1990-2000, ACS, PRCS)"
c: 9140 -1 "South Amerianc Indian (1990-2000, ACS, PRCS)"
c: 9200 -1 "American Indian  (all tribes)"
c: 9201 -1 "American Indian-English-French"
c: 9202 -1 "American Indian-English-German"
c: 9203 -1 "American Indian-English-Irish"
c: 9204 -1 "American Indian-German-Irish"
c: 9205 -1 "Cherokee"
c: 9206 -1 "Native American"
c: 9207 -1 "Indian"
c: 9210 -1 "Aleut"
c: 9220 -1 "Eskimo"
c: 9230 -1 "Inuit"
c: 9240 -1 "White/Caucasian"
c: 9241 -1 "White/Caucasian (1990-2000, ACS, PRCS)"
c: 9242 -1 "Anglo (1990-2000, ACS, PRCS)"
c: 9243 -1 "Appalachian (1990-2000, ACS, PRCS)"
c: 9244 -1 "Aryan (1990-2000)"
c: 9300 -1 "Greenlander"
c: 9310 -1 "Canadian"
c: 9330 -1 "Newfoundland"
c: 9340 -1 "Nova Scotian"
c: 9350 -1 "French Canadian"
c: 9360 -1 "Acadian"
c: 9361 -1 "Acadian (1990-2000, ACS, PRCS)"
c: 9362 -1 "Cajun (1990-2000, ACS, PRCS)"
c: 9390 -1 "American"
c: 9400 -1 "United States"
c: 9410 -1 "Alabama"
c: 9420 -1 "Alaska"
c: 9430 -1 "Arizona"
c: 9440 -1 "Arkansas"
c: 9450 -1 "California"
c: 9460 -1 "Colorado"
c: 9470 -1 "Connecticut"
c: 9480 -1 "District of Columbia"
c: 9490 -1 "Delaware"
c: 9500 -1 "Florida"
c: 9510 -1 "Georgia"
c: 9520 -1 "Idaho"
c: 9530 -1 "Illinois"
c: 9540 -1 "Indiana"
c: 9550 -1 "Iowa"
c: 9560 -1 "Kansas"
c: 9570 -1 "Kentucky"
c: 9580 -1 "Louisiana"
c: 9590 -1 "Maine"
c: 9600 -1 "Maryland"
c: 9610 -1 "Massachusetts"
c: 9620 -1 "Michigan"
c: 9630 -1 "Minnesota"
c: 9640 -1 "Mississippi"
c: 9650 -1 "Missouri"
c: 9660 -1 "Montana"
c: 9670 -1 "Nebraska"
c: 9680 -1 "Nevada"
c: 9690 -1 "New Hampshire"
c: 9700 -1 "New Jersey"
c: 9710 -1 "New Mexico"
c: 9720 -1 "New York"
c: 9730 -1 "North Carolina"
c: 9740 -1 "North Dakota"
c: 9750 -1 "Ohio"
c: 9760 -1 "Oklahoma"
c: 9770 -1 "Oregon"
c: 9780 -1 "Pennsylvania"
c: 9790 -1 "Rhode Island"
c: 9800 -1 "South Carolina"
c: 9810 -1 "South Dakota"
c: 9820 -1 "Tennessee"
c: 9830 -1 "Texas"
c: 9840 -1 "Utah"
c: 9850 -1 "Vermont"
c: 9860 -1 "Virginia"
c: 9870 -1 "Washington"
c: 9880 -1 "West Virginia"
c: 9890 -1 "Wisconsin"
c: 9900 -1 "Wyoming"
c: 9930 -1 "Southerner"
c: 9940 -1 "North American"
c: 9950 -1 "Mixture"
c: 9960 -1 "Uncodable"
c: 9961 -1 "Not Classified"
c: 9980 -1 "Other"
c: 9990 -1 "Not Reported"
I: ANCESTR2 1 999 -1 999 766 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Ancestry, second response [general version]
s: Ancestry, second response [general version]
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Alsatian, Alsace-Lorraine"
c: 2 -1 "Andorran"
c: 3 -1 "Austrian"
c: 4 -1 "Tirolean"
c: 5 -1 "Basque"
c: 6 -1 "French Basque"
c: 8 -1 "Belgian"
c: 9 -1 "Flemish"
c: 10 -1 "Walloon"
c: 11 -1 "British"
c: 12 -1 "British Isles"
c: 13 -1 "Channel Islander"
c: 14 -1 "Gibraltan"
c: 15 -1 "Cornish"
c: 16 -1 "Corsican"
c: 17 -1 "Cypriot"
c: 18 -1 "Greek Cypriote"
c: 19 -1 "Turkish Cypriote"
c: 20 -1 "Danish"
c: 21 -1 "Dutch"
c: 22 -1 "English"
c: 23 -1 "Faeroe Islander"
c: 24 -1 "Finnish"
c: 25 -1 "Karelian"
c: 26 -1 "French"
c: 27 -1 "Lorrainian"
c: 28 -1 "Breton"
c: 29 -1 "Frisian"
c: 30 -1 "Friulian"
c: 32 -1 "German"
c: 33 -1 "Bavarian"
c: 34 -1 "Berliner"
c: 35 -1 "Hamburger"
c: 36 -1 "Hanoverian"
c: 37 -1 "Hessian"
c: 38 -1 "Lubecker"
c: 39 -1 "Pomeranian"
c: 40 -1 "Prussian"
c: 41 -1 "Saxon"
c: 42 -1 "Sudetenlander"
c: 43 -1 "Westphalian"
c: 46 -1 "Greek"
c: 47 -1 "Cretan"
c: 48 -1 "Cycladic Islander"
c: 49 -1 "Icelander"
c: 50 -1 "Irish"
c: 51 -1 "Italian"
c: 53 -1 "Abruzzi"
c: 54 -1 "Apulian"
c: 55 -1 "Basilicata"
c: 56 -1 "Calabrian"
c: 57 -1 "Amalfin"
c: 58 -1 "Emilia Romagna"
c: 59 -1 "Rome"
c: 60 -1 "Ligurian"
c: 61 -1 "Lombardian"
c: 62 -1 "Marches"
c: 63 -1 "Molise"
c: 64 -1 "Neapolitan"
c: 65 -1 "Piedmontese"
c: 66 -1 "Puglia"
c: 67 -1 "Sardinian"
c: 68 -1 "Sicilian"
c: 69 -1 "Tuscan"
c: 70 -1 "Trentino"
c: 71 -1 "Umbrian"
c: 72 -1 "Valle dAosta"
c: 73 -1 "Venetian"
c: 75 -1 "Lapp"
c: 76 -1 "Liechtensteiner"
c: 77 -1 "Luxemburger"
c: 78 -1 "Maltese"
c: 79 -1 "Manx"
c: 80 -1 "Monegasque"
c: 81 -1 "Northern Irelander"
c: 82 -1 "Norwegian"
c: 84 -1 "Portuguese"
c: 85 -1 "Azorean"
c: 86 -1 "Madeiran"
c: 87 -1 "Scotch Irish"
c: 88 -1 "Scottish"
c: 89 -1 "Swedish"
c: 90 -1 "Aland Islander"
c: 91 -1 "Swiss"
c: 92 -1 "Suisse"
c: 95 -1 "Romansch"
c: 96 -1 "Suisse Romane"
c: 97 -1 "Welsh"
c: 98 -1 "Scandinavian, Nordic"
c: 100 -1 "Albanian"
c: 101 -1 "Azerbaijani"
c: 102 -1 "Belourussian"
c: 103 -1 "Bulgarian"
c: 105 -1 "Carpathian"
c: 108 -1 "Cossack"
c: 109 -1 "Croatian"
c: 111 -1 "Czechoslovakian"
c: 112 -1 "Bohemian"
c: 115 -1 "Estonian"
c: 116 -1 "Livonian"
c: 117 -1 "Finno Ugrian"
c: 118 -1 "Mordovian"
c: 119 -1 "Voytak"
c: 120 -1 "Georgian"
c: 123 -1 "Gruziia"
c: 124 -1 "Rom"
c: 125 -1 "Hungarian"
c: 126 -1 "Magyar"
c: 128 -1 "Latvian"
c: 129 -1 "Lithuanian"
c: 130 -1 "Macedonian"
c: 132 -1 "North Caucasian"
c: 133 -1 "North Caucasian Turkic"
c: 140 -1 "Ossetian"
c: 142 -1 "Polish"
c: 143 -1 "Kashubian"
c: 144 -1 "Romanian"
c: 145 -1 "Bessarabian"
c: 146 -1 "Moldavian"
c: 147 -1 "Wallachian"
c: 148 -1 "Russian"
c: 150 -1 "Muscovite"
c: 152 -1 "Serbian"
c: 153 -1 "Slovak"
c: 154 -1 "Slovene"
c: 155 -1 "Sorb/Wend"
c: 156 -1 "Soviet Turkic"
c: 157 -1 "Bashkir"
c: 158 -1 "Chevash"
c: 159 -1 "Gagauz"
c: 160 -1 "Mesknetian"
c: 163 -1 "Yakut"
c: 164 -1 "Soviet Union, nec"
c: 165 -1 "Tatar"
c: 169 -1 "Uzbek"
c: 171 -1 "Ukrainian"
c: 176 -1 "Yugoslavian"
c: 178 -1 "Slav"
c: 179 -1 "Slavonian"
c: 181 -1 "Central European, nec"
c: 183 -1 "Northern European, nec"
c: 185 -1 "Southern European, nec"
c: 187 -1 "Western European, nec"
c: 190 -1 "Eastern European, nec"
c: 195 -1 "European, nec"
c: 200 -1 "Spaniard"
c: 201 -1 "Andalusian"
c: 202 -1 "Astorian"
c: 204 -1 "Catalonian"
c: 205 -1 "Balearic Islander"
c: 206 -1 "Galician"
c: 210 -1 "Mexican"
c: 211 -1 "Mexican American"
c: 213 -1 "Chicano/Chicana"
c: 218 -1 "Nuevo Mexicano"
c: 219 -1 "Californio"
c: 221 -1 "Costa Rican"
c: 222 -1 "Guatemalan"
c: 223 -1 "Honduran"
c: 224 -1 "Nicaraguan"
c: 225 -1 "Panamanian"
c: 226 -1 "Salvadoran"
c: 227 -1 "Latin American"
c: 231 -1 "Argentinean"
c: 232 -1 "Bolivian"
c: 233 -1 "Chilean"
c: 234 -1 "Colombian"
c: 235 -1 "Ecuadorian"
c: 236 -1 "Paraguayan"
c: 237 -1 "Peruvian"
c: 238 -1 "Uruguayan"
c: 239 -1 "Venezuelan"
c: 248 -1 "South American"
c: 261 -1 "Puerto Rican"
c: 271 -1 "Cuban"
c: 275 -1 "Dominican"
c: 290 -1 "Hispanic"
c: 291 -1 "Spanish"
c: 295 -1 "Spanish American"
c: 296 -1 "Other Spanish/Hispanic"
c: 300 -1 "Bahamian"
c: 301 -1 "Barbadian"
c: 302 -1 "Belizean"
c: 303 -1 "Bermudan"
c: 304 -1 "Cayman Islander"
c: 308 -1 "Jamaican"
c: 310 -1 "Dutch West Indies"
c: 311 -1 "Aruba Islander"
c: 312 -1 "St Maarten Islander"
c: 314 -1 "Trinidadian/Tobagonian"
c: 315 -1 "Trinidadian"
c: 316 -1 "Tobagonian"
c: 317 -1 "U.S. Virgin Islander"
c: 321 -1 "British Virgin Islander"
c: 322 -1 "British West Indian"
c: 323 -1 "Turks and Caicos Islander"
c: 324 -1 "Anguilla Islander"
c: 328 -1 "Dominica Islander"
c: 329 -1 "Grenadian"
c: 331 -1 "St Lucia Islander"
c: 332 -1 "French West Indies"
c: 333 -1 "Guadeloupe Islander"
c: 334 -1 "Cayenne"
c: 335 -1 "West Indian"
c: 336 -1 "Haitian"
c: 337 -1 "Other West Indian"
c: 360 -1 "Brazilian"
c: 365 -1 "San Andres"
c: 370 -1 "Guyanese/British Guiana"
c: 375 -1 "Providencia"
c: 380 -1 "Surinam/Dutch Guiana"
c: 400 -1 "Algerian"
c: 402 -1 "Egyptian"
c: 404 -1 "Libyan"
c: 406 -1 "Moroccan"
c: 407 -1 "Ifni"
c: 408 -1 "Tunisian"
c: 411 -1 "North African"
c: 412 -1 "Alhucemas"
c: 413 -1 "Berber"
c: 414 -1 "Rio de Oro"
c: 415 -1 "Bahraini"
c: 416 -1 "Iranian"
c: 417 -1 "Iraqi"
c: 419 -1 "Israeli"
c: 421 -1 "Jordanian"
c: 422 -1 "Transjordan"
c: 423 -1 "Kuwaiti"
c: 425 -1 "Lebanese"
c: 427 -1 "Saudi Arabian"
c: 429 -1 "Syrian"
c: 431 -1 "Armenian"
c: 434 -1 "Turkish"
c: 435 -1 "Yemeni"
c: 436 -1 "Omani"
c: 437 -1 "Muscat"
c: 438 -1 "Trucial Oman"
c: 439 -1 "Qatar"
c: 441 -1 "Bedouin"
c: 442 -1 "Kurdish"
c: 444 -1 "Kuria Muria Islander"
c: 465 -1 "Palestinian"
c: 466 -1 "Gazan"
c: 467 -1 "West Bank"
c: 470 -1 "South Yemeni"
c: 471 -1 "Aden"
c: 480 -1 "United Arab Emirates"
c: 482 -1 "Assyrian/Chaldean/Syriac"
c: 490 -1 "Middle Eastern"
c: 495 -1 "Arab"
c: 496 -1 "Other Arab"
c: 500 -1 "Angolan"
c: 502 -1 "Benin"
c: 504 -1 "Botswana"
c: 506 -1 "Burundian"
c: 508 -1 "Cameroonian"
c: 510 -1 "Cape Verdean"
c: 513 -1 "Chadian"
c: 515 -1 "Congolese"
c: 516 -1 "Congo-Brazzaville"
c: 519 -1 "Djibouti"
c: 520 -1 "Equatorial Guinea"
c: 521 -1 "Corsico Islander"
c: 522 -1 "Ethiopian"
c: 523 -1 "Eritrean"
c: 525 -1 "Gabonese"
c: 527 -1 "Gambian"
c: 529 -1 "Ghanian"
c: 530 -1 "Guinean"
c: 531 -1 "Guinea Bissau"
c: 532 -1 "Ivory Coast"
c: 534 -1 "Kenyan"
c: 538 -1 "Lesotho"
c: 541 -1 "Liberian"
c: 543 -1 "Madagascan"
c: 545 -1 "Malawian"
c: 546 -1 "Malian"
c: 547 -1 "Mauritanian"
c: 549 -1 "Mozambican"
c: 550 -1 "Namibian"
c: 551 -1 "Niger"
c: 553 -1 "Nigerian"
c: 554 -1 "Fulani"
c: 555 -1 "Hausa"
c: 556 -1 "Ibo"
c: 557 -1 "Tiv"
c: 561 -1 "Rwandan"
c: 564 -1 "Senegalese"
c: 566 -1 "Sierra Leonean"
c: 568 -1 "Somalian"
c: 569 -1 "Swaziland"
c: 570 -1 "South African"
c: 571 -1 "Union of South Africa"
c: 572 -1 "Afrikaner"
c: 573 -1 "Natalian"
c: 574 -1 "Zulu"
c: 576 -1 "Sudanese"
c: 577 -1 "Dinka"
c: 578 -1 "Nuer"
c: 579 -1 "Fur"
c: 580 -1 "Baggara"
c: 582 -1 "Tanzanian"
c: 583 -1 "Tanganyikan"
c: 584 -1 "Zanzibar Islande"
c: 586 -1 "Togo"
c: 588 -1 "Ugandan"
c: 589 -1 "Upper Voltan"
c: 590 -1 "Voltan"
c: 591 -1 "Zairian"
c: 592 -1 "Zambian"
c: 593 -1 "Zimbabwean"
c: 594 -1 "African Islands"
c: 595 -1 "Other Subsaharan Africa"
c: 596 -1 "Central African"
c: 597 -1 "East African"
c: 598 -1 "West African"
c: 599 -1 "African"
c: 600 -1 "Afghan"
c: 601 -1 "Baluchi"
c: 602 -1 "Pathan"
c: 603 -1 "Bengali"
c: 607 -1 "Bhutanese"
c: 609 -1 "Nepali"
c: 615 -1 "Asian Indian"
c: 622 -1 "Andaman Islander"
c: 624 -1 "Andhra Pradesh"
c: 626 -1 "Assamese"
c: 628 -1 "Goanese"
c: 630 -1 "Gujarati"
c: 632 -1 "Karnatakan"
c: 634 -1 "Keralan"
c: 638 -1 "Maharashtran"
c: 640 -1 "Madrasi"
c: 642 -1 "Mysore"
c: 644 -1 "Naga"
c: 648 -1 "Pondicherry"
c: 650 -1 "Punjabi"
c: 656 -1 "Tamil"
c: 675 -1 "East Indies"
c: 680 -1 "Pakistani"
c: 690 -1 "Sri Lankan"
c: 691 -1 "Singhalese"
c: 692 -1 "Veddah"
c: 695 -1 "Maldivian"
c: 700 -1 "Burmese"
c: 702 -1 "Shan"
c: 703 -1 "Cambodian"
c: 704 -1 "Khmer"
c: 706 -1 "Chinese"
c: 707 -1 "Cantonese"
c: 708 -1 "Manchurian"
c: 709 -1 "Mandarin"
c: 712 -1 "Mongolian"
c: 714 -1 "Tibetan"
c: 716 -1 "Hong Kong"
c: 718 -1 "Macao"
c: 720 -1 "Filipino"
c: 730 -1 "Indonesian"
c: 740 -1 "Japanese"
c: 746 -1 "Ryukyu Islander"
c: 748 -1 "Okinawan"
c: 750 -1 "Korean"
c: 765 -1 "Laotian"
c: 766 -1 "Meo"
c: 768 -1 "Hmong"
c: 770 -1 "Malaysian"
c: 774 -1 "Singaporean"
c: 776 -1 "Thai"
c: 777 -1 "Black Thai"
c: 778 -1 "Western Lao"
c: 782 -1 "Taiwanese"
c: 785 -1 "Vietnamese"
c: 786 -1 "Katu"
c: 787 -1 "Ma"
c: 788 -1 "Mnong"
c: 790 -1 "Montagnard"
c: 792 -1 "Indochinese"
c: 793 -1 "Eurasian"
c: 795 -1 "Asian"
c: 796 -1 "Other Asian"
c: 800 -1 "Australian"
c: 801 -1 "Tasmanian"
c: 802 -1 "Australian Aborigine"
c: 803 -1 "New Zealander"
c: 808 -1 "Polynesian"
c: 809 -1 "Kapinagamarangan"
c: 810 -1 "Maori"
c: 811 -1 "Hawaiian"
c: 813 -1 "Part Hawaiian"
c: 814 -1 "Samoan"
c: 815 -1 "Tongan"
c: 816 -1 "Tokelauan"
c: 817 -1 "Cook Islander"
c: 818 -1 "Tahitian"
c: 819 -1 "Niuean"
c: 820 -1 "Micronesian"
c: 821 -1 "Guamanian"
c: 822 -1 "Chamorro Islander"
c: 823 -1 "Saipanese"
c: 824 -1 "Palauan"
c: 825 -1 "Marshall Islander"
c: 826 -1 "Kosraean"
c: 827 -1 "Ponapean"
c: 828 -1 "Chuukese"
c: 829 -1 "Yap Islander"
c: 830 -1 "Caroline Islander"
c: 831 -1 "Kiribatese"
c: 832 -1 "Nauruan"
c: 833 -1 "Tarawa Islander"
c: 834 -1 "Tinian Islander"
c: 840 -1 "Melanesian Islander"
c: 841 -1 "Fijian"
c: 843 -1 "New Guinean"
c: 844 -1 "Papuan"
c: 845 -1 "Solomon Islander"
c: 846 -1 "New Caledonian Islander"
c: 847 -1 "Vanuatuan"
c: 850 -1 "Pacific Islander"
c: 860 -1 "Oceania"
c: 862 -1 "Chamolinian"
c: 863 -1 "Reserved Codes"
c: 870 -1 "Other Pacific"
c: 900 -1 "Afro-American"
c: 902 -1 "African-American"
c: 913 -1 "Central American Indian"
c: 914 -1 "South American Indian"
c: 920 -1 "American Indian  (all tribes)"
c: 921 -1 "Aleut"
c: 922 -1 "Eskimo"
c: 923 -1 "Inuit"
c: 924 -1 "White/Caucasian"
c: 930 -1 "Greenlander"
c: 931 -1 "Canadian (most provinces)"
c: 933 -1 "Newfoundland"
c: 934 -1 "Nova Scotian"
c: 935 -1 "French Canadian"
c: 936 -1 "Acadian"
c: 939 -1 "American"
c: 940 -1 "United States"
c: 941 -1 "Alabama"
c: 942 -1 "Alaska"
c: 943 -1 "Arizona"
c: 944 -1 "Arkansas"
c: 945 -1 "California"
c: 946 -1 "Colorado"
c: 947 -1 "Connecticut"
c: 948 -1 "District of Columbia"
c: 949 -1 "Delaware"
c: 950 -1 "Florida"
c: 951 -1 "Georgia"
c: 952 -1 "Idaho"
c: 953 -1 "Illinois"
c: 954 -1 "Indiana"
c: 955 -1 "Iowa"
c: 956 -1 "Kansas"
c: 957 -1 "Kentucky"
c: 958 -1 "Louisiana"
c: 959 -1 "Maine"
c: 960 -1 "Maryland"
c: 961 -1 "Massachusetts"
c: 962 -1 "Michigan"
c: 963 -1 "Minnesota"
c: 964 -1 "Mississippi"
c: 965 -1 "Missouri"
c: 966 -1 "Montana"
c: 967 -1 "Nebraska"
c: 968 -1 "Nevada"
c: 969 -1 "New Hampshire"
c: 970 -1 "New Jersey"
c: 971 -1 "New Mexico"
c: 972 -1 "New York"
c: 973 -1 "North Carolina"
c: 974 -1 "North Dakota"
c: 975 -1 "Ohio"
c: 976 -1 "Oklahoma"
c: 977 -1 "Oregon"
c: 978 -1 "Pennsylvania"
c: 979 -1 "Rhode Island"
c: 980 -1 "South Carolina"
c: 981 -1 "South Dakota"
c: 982 -1 "Tennessee"
c: 983 -1 "Texas"
c: 984 -1 "Utah"
c: 985 -1 "Vermont"
c: 986 -1 "Virginia"
c: 987 -1 "Washington"
c: 988 -1 "West Virginia"
c: 989 -1 "Wisconsin"
c: 990 -1 "Wyoming"
c: 993 -1 "Southerner"
c: 994 -1 "North American"
c: 995 -1 "Mixture"
c: 996 -1 "Uncodable"
c: 997 -1 "Deferred Cases"
c: 998 -1 "Other (Usually a Religion)"
c: 999 -1 "Not Reported"
I: ANCEST2D 10 9990 -1 9990 769 4
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxx..xxxxx..xxxxxxxxxxxxxxxx
l: Ancestry, second response [detailed version]
s: Ancestry, second response [detailed version]
c: "...." -1 -1 "Not Available for this Year and Data Set"
c: 10 -1 "Alsatian"
c: 20 -1 "Andorran"
c: 30 -1 "Austrian"
c: 40 -1 "Tirolean"
c: 51 -1 "Basque (1980)"
c: 52 -1 "Spanish Basque (1980)"
c: 53 -1 "Basque (1990-2000, ACS, PRCS)"
c: 54 -1 "Spanish Basque (1990-2000,2001-2004 ACS)"
c: 60 -1 "French Basque"
c: 80 -1 "Belgian"
c: 90 -1 "Flemish"
c: 100 -1 "Walloon"
c: 110 -1 "British"
c: 120 -1 "British Isles"
c: 130 -1 "Channel Islander"
c: 140 -1 "Gibraltan"
c: 150 -1 "Cornish"
c: 160 -1 "Corsican"
c: 170 -1 "Cypriot"
c: 180 -1 "Greek Cypriote"
c: 190 -1 "Turkish Cypriote"
c: 200 -1 "Danish"
c: 210 -1 "Dutch"
c: 211 -1 "Dutch-French-Irish"
c: 212 -1 "Dutch-German-Irish"
c: 213 -1 "Dutch-Irish-Scotch"
c: 220 -1 "English"
c: 221 -1 "English-French-German (1980)"
c: 222 -1 "English-French-Irish (1980)"
c: 223 -1 "English-German-Irish (1980)"
c: 224 -1 "English-German-Swedish (1980)"
c: 225 -1 "English-Irish-Scotch (1980)"
c: 226 -1 "English-Scotch-Welsh (1980)"
c: 230 -1 "Faeroe Islander"
c: 240 -1 "Finnish"
c: 250 -1 "Karelian"
c: 260 -1 "French (1980)"
c: 261 -1 "French (1990-2000, ACS, PRCS)"
c: 262 -1 "Occitan (1990-2000)"
c: 270 -1 "Lorrainian"
c: 280 -1 "Breton"
c: 290 -1 "Frisian"
c: 300 -1 "Friulian"
c: 320 -1 "German (1980)"
c: 321 -1 "German (1990-2000, ACS, PRCS)"
c: 322 -1 "Pennsylvania German (1990-2000, ACS, PRCS)"
c: 323 -1 "East German (1990-2000)"
c: 324 -1 "West German (1990-2000)"
c: 325 -1 "German-French-Irish (1980)"
c: 326 -1 "German-Irish-Italian (1980)"
c: 327 -1 "German-Irish-Scotch (1980)"
c: 328 -1 "German-Irish-Swedish (1980)"
c: 330 -1 "Bavarian"
c: 340 -1 "Berliner"
c: 350 -1 "Hamburger"
c: 360 -1 "Hanoverian"
c: 370 -1 "Hessian"
c: 380 -1 "Lubecker"
c: 390 -1 "Pomeranian (1980)"
c: 391 -1 "Pomeranian (1990-2000)"
c: 392 -1 "Silesian (1990-2000)"
c: 400 -1 "Prussian"
c: 410 -1 "Saxon"
c: 420 -1 "Sudetenlander"
c: 430 -1 "Westphalian"
c: 460 -1 "Greek"
c: 470 -1 "Cretan"
c: 480 -1 "Cycladic Islander, Dodecanese Islander, Peloponnesian"
c: 490 -1 "Icelander"
c: 500 -1 "Irish, various subheads,"
c: 501 -1 "Celtic"
c: 510 -1 "Italian (1980)"
c: 511 -1 "Italian (1990-2000, ACS, PRCS)"
c: 512 -1 "Trieste (1990-2000)"
c: 513 -1 "San Marino (1990-2000)"
c: 530 -1 "Abruzzi"
c: 540 -1 "Apulian"
c: 550 -1 "Basilicata, Lucanian"
c: 560 -1 "Calabrian"
c: 570 -1 "Amalfin"
c: 580 -1 "Emilia Romagna"
c: 590 -1 "Rome"
c: 600 -1 "Ligurian"
c: 610 -1 "Lombardian"
c: 620 -1 "Marches"
c: 630 -1 "Molise"
c: 640 -1 "Neapolitan"
c: 650 -1 "Piedmontese"
c: 660 -1 "Puglia"
c: 670 -1 "Sardinian"
c: 680 -1 "Sicilian"
c: 690 -1 "Tuscan"
c: 700 -1 "Trentino"
c: 710 -1 "Umbrian"
c: 720 -1 "Valle dAosta"
c: 730 -1 "Venetian"
c: 750 -1 "Lapp"
c: 760 -1 "Liechtensteiner"
c: 770 -1 "Luxemburger"
c: 780 -1 "Maltese"
c: 790 -1 "Manx"
c: 800 -1 "Monegasque"
c: 810 -1 "Northern Irelander"
c: 820 -1 "Norwegian"
c: 840 -1 "Portuguese"
c: 850 -1 "Azorean"
c: 860 -1 "Madeiran"
c: 870 -1 "Scotch Irish"
c: 880 -1 "Scottish"
c: 890 -1 "Swedish"
c: 900 -1 "Aland Islander"
c: 910 -1 "Swiss"
c: 920 -1 "Suisse (1980)"
c: 921 -1 "Suisse (1990-2000)"
c: 922 -1 "Switzer(1990-2000)"
c: 950 -1 "Romansch (1980)"
c: 951 -1 "Romansch (1990-2000)"
c: 952 -1 "Ladin (1990-2000)"
c: 960 -1 "Suisse Romane (1990-2000,ACS)"
c: 961 -1 "Suisse Romane (1980)"
c: 962 -1 "Ticino"
c: 970 -1 "Welsh"
c: 980 -1 "Scandinavian, Nordic"
c: 1000 -1 "Albanian"
c: 1010 -1 "Azerbaijani"
c: 1020 -1 "Belourussian"
c: 1030 -1 "Bulgarian"
c: 1050 -1 "Carpathian"
c: 1051 -1 "Carpatho Rusyn"
c: 1052 -1 "Rusyn"
c: 1080 -1 "Cossack (1990-2000)"
c: 1081 -1 "Cossack (1980)"
c: 1082 -1 "Turkestani (1990-2000)"
c: 1083 -1 "Kirghiz (1980)"
c: 1084 -1 "Turcoman (1980)"
c: 1090 -1 "Croatian"
c: 1110 -1 "Czechoslovakian"
c: 1111 -1 "Czech"
c: 1120 -1 "Bohemian (1980)"
c: 1121 -1 "Bohemian (1990-2000, ACS, PRCS)"
c: 1122 -1 "Moravian (1990-2000)"
c: 1150 -1 "Estonian"
c: 1160 -1 "Livonian"
c: 1170 -1 "Finno Ugrian (1990-2000)"
c: 1171 -1 "Udmert"
c: 1180 -1 "Mordovian"
c: 1190 -1 "Voytak"
c: 1200 -1 "Georgian"
c: 1221 -1 "Volga"
c: 1222 -1 "German from Russia (1990-2000, ACS, PRCS)"
c: 1230 -1 "Gruziia (1990-2000)"
c: 1240 -1 "Rom"
c: 1250 -1 "Hungarian"
c: 1260 -1 "Magyar"
c: 1280 -1 "Latvian"
c: 1290 -1 "Lithuanian"
c: 1300 -1 "Macedonian"
c: 1320 -1 "North Caucasian (1990-2000)"
c: 1330 -1 "North Caucasian Turkic (1990-2000)"
c: 1400 -1 "Ossetian"
c: 1420 -1 "Polish"
c: 1430 -1 "Kashubian"
c: 1440 -1 "Romanian (1990-2000, ACS, PRCS)"
c: 1441 -1 "Romanian (1980)"
c: 1442 -1 "Transylvanian"
c: 1450 -1 "Bessarabian (1980)"
c: 1451 -1 "Bessarabian (1990-2000)"
c: 1452 -1 "Bucovina"
c: 1460 -1 "Moldavian"
c: 1470 -1 "Wallachian"
c: 1480 -1 "Russian"
c: 1500 -1 "Muscovite"
c: 1520 -1 "Serbian (1980)"
c: 1521 -1 "Serbian (1990-2000, ACS, PRCS)"
c: 1522 -1 "Bosnian (1990) Herzegovinian (2000, ACS, PRCS)"
c: 1523 -1 "Montenegin (1990-2000)"
c: 1530 -1 "Slovak"
c: 1540 -1 "Slovene"
c: 1550 -1 "Sorb/Wend"
c: 1560 -1 "Soviet Turkic (1990-2000)"
c: 1570 -1 "Bashkir"
c: 1580 -1 "Chevash"
c: 1590 -1 "Gagauz (1990-2000)"
c: 1600 -1 "Mesknetian (1990-2000)"
c: 1630 -1 "Yakut"
c: 1640 -1 "Soviet Union, nec"
c: 1650 -1 "Tatar (1990-2000)"
c: 1651 -1 "Tatar (1980)"
c: 1652 -1 "Crimean (1980)"
c: 1653 -1 "Tuvinian (1990-2000)"
c: 1654 -1 "Soviet Central Asian (1990-2000)"
c: 1655 -1 "Tadzhik (1980)"
c: 1690 -1 "Uzbek"
c: 1710 -1 "Ukrainian (1980)"
c: 1711 -1 "Ukrainian (1990-2000, ACS, PRCS)"
c: 1712 -1 "Ruthenian (1980)"
c: 1713 -1 "Ruthenian (1990-2000)"
c: 1714 -1 "Lemko"
c: 1715 -1 "Bioko"
c: 1716 -1 "Hesel"
c: 1717 -1 "Windish"
c: 1760 -1 "Yugoslavian"
c: 1780 -1 "Slav"
c: 1790 -1 "Slavonian"
c: 1810 -1 "Central European, nec"
c: 1830 -1 "Northern European, nec"
c: 1850 -1 "Southern European, nec"
c: 1870 -1 "Western European, nec"
c: 1900 -1 "Eastern European, nec"
c: 1950 -1 "European, nec"
c: 2000 -1 "Spaniard (1980)"
c: 2001 -1 "Spaniard (1990-2000, ACS, PRCS)"
c: 2002 -1 "Castillan (1990-2000)"
c: 2003 -1 "Velencian (1990-2000)"
c: 2010 -1 "Andalusian (1990-2000)"
c: 2020 -1 "Asturian (1990-2000)"
c: 2040 -1 "Catalonian"
c: 2050 -1 "Balearic Islander (1980)"
c: 2051 -1 "Balearic Islander (1990-2000)"
c: 2052 -1 "Canary Islander (1990-2000)"
c: 2060 -1 "Gallician (1980)"
c: 2061 -1 "Gallego (1990-2000)"
c: 2062 -1 "Galician (1990-2000)"
c: 2100 -1 "Mexican"
c: 2101 -1 "Mexican (1990-2000, ACS, PRCS)"
c: 2102 -1 "Mexicano/Mexicana (1990-2000, ACS, PRCS)"
c: 2110 -1 "Mexican American"
c: 2111 -1 "Mexican American Indian"
c: 2130 -1 "Chicano/Chicana"
c: 2180 -1 "Nuevo Mexicano"
c: 2181 -1 "Nuevo Mexicano (1990-2000)"
c: 2182 -1 "La Raza (1990-2000)"
c: 2183 -1 "Mexican state (1990-2000, ACS, PRCS)"
c: 2184 -1 "Tejano/Tejana (1990-2000)"
c: 2190 -1 "Californio"
c: 2210 -1 "Costa Rican"
c: 2220 -1 "Guatemalan"
c: 2230 -1 "Honduran"
c: 2240 -1 "Nicaraguan"
c: 2250 -1 "Panamanian (1980)"
c: 2251 -1 "Panamanian (1990-2000, ACS, PRCS)"
c: 2252 -1 "Canal Zone (1990-2000)"
c: 2260 -1 "Salvadoran"
c: 2270 -1 "Latin American (1980)"
c: 2271 -1 "Central American (1990-2000, ACS, PRCS)"
c: 2272 -1 "Latin American (1990-2000, ACS, PRCS)"
c: 2273 -1 "Latino/Latina (1990-2000, ACS, PRCS)"
c: 2274 -1 "Latin (1990-2000, ACS, PRCS)"
c: 2310 -1 "Argentinean"
c: 2320 -1 "Bolivian"
c: 2330 -1 "Chilean"
c: 2340 -1 "Colombian"
c: 2350 -1 "Ecuadorian"
c: 2360 -1 "Paraguayan"
c: 2370 -1 "Peruvian"
c: 2380 -1 "Uruguayan"
c: 2390 -1 "Venezuelan"
c: 2480 -1 "South American (1980)"
c: 2481 -1 "South American (1990-2000, ACS, PRCS)"
c: 2482 -1 "Criollo/Criolla (1990-2000)"
c: 2610 -1 "Puerto Rican"
c: 2710 -1 "Cuban"
c: 2750 -1 "Dominican"
c: 2900 -1 "Hispanic"
c: 2910 -1 "Spanish"
c: 2950 -1 "Spanish American"
c: 2960 -1 "Other Spanish/Hispanic"
c: 3000 -1 "Bahamian"
c: 3010 -1 "Barbadian"
c: 3020 -1 "Belizean"
c: 3030 -1 "Bermudan"
c: 3040 -1 "Cayman Islander"
c: 3080 -1 "Jamaican"
c: 3100 -1 "Dutch West Indies"
c: 3110 -1 "Aruba Islander"
c: 3120 -1 "St Maarten Islander"
c: 3140 -1 "Trinidadian/Tobagonian"
c: 3150 -1 "Trinidadian"
c: 3160 -1 "Tobagonian"
c: 3170 -1 "U.S. Virgin Islander (1980)"
c: 3171 -1 "U.S. Virgin Islander (1990-2000)"
c: 3172 -1 "St. Croix Islander (1990-2000)"
c: 3173 -1 "St. John Islander (1990-2000)"
c: 3174 -1 "St. Thomas Islander (1990-2000)"
c: 3210 -1 "British Virgin Islander (1980)"
c: 3211 -1 "British Virgin Islander (1990-2000)"
c: 3212 -1 "Antigua (1990-2000, ACS, PRCS)"
c: 3220 -1 "British West Indian"
c: 3230 -1 "Turks and Caicos Islander"
c: 3240 -1 "Anguilla Islander (1980)"
c: 3241 -1 "Anguilla Islander (1990-2000)"
c: 3242 -1 "Montserrat Islander (1990-2000)"
c: 3243 -1 "Kitts/Nevis Islander (1990-2000)"
c: 3244 -1 "St. Christopher (1980)"
c: 3245 -1 "St Vincent Islander"
c: 3280 -1 "Dominica Islander"
c: 3290 -1 "Grenadian"
c: 3310 -1 "St Lucia Islander"
c: 3320 -1 "French West Indian"
c: 3330 -1 "Guadeloupe Islander"
c: 3340 -1 "Cayenne"
c: 3350 -1 "West Indian (1990-2000, ACS, PRCS)"
c: 3351 -1 "West Indian (1980)"
c: 3352 -1 "Caribbean (1980)"
c: 3353 -1 "Arawak (1980)"
c: 3360 -1 "Haitian"
c: 3370 -1 "Other West Indian"
c: 3600 -1 "Brazilian"
c: 3650 -1 "San Andres"
c: 3700 -1 "Guyanese/British Guiana"
c: 3750 -1 "Providencia"
c: 3800 -1 "Surinam/Dutch Guiana"
c: 4000 -1 "Algerian"
c: 4020 -1 "Egyptian"
c: 4040 -1 "Libyan"
c: 4060 -1 "Moroccan (1990-2000, ACS, PRCS)"
c: 4061 -1 "Moroccan (1980)"
c: 4062 -1 "Moor (1980)"
c: 4070 -1 "Ifni"
c: 4080 -1 "Tunisian"
c: 4110 -1 "North African"
c: 4120 -1 "Alhucemas"
c: 4130 -1 "Berber"
c: 4140 -1 "Rio de Oro"
c: 4150 -1 "Bahraini"
c: 4160 -1 "Iranian"
c: 4170 -1 "Iraqi"
c: 4190 -1 "Israeli"
c: 4210 -1 "Jordanian"
c: 4220 -1 "Transjordan"
c: 4230 -1 "Kuwaiti"
c: 4250 -1 "Lebanese"
c: 4270 -1 "Saudi Arabian"
c: 4290 -1 "Syrian (1990-2000, ACS, PRCS)"
c: 4291 -1 "Syrian (1980)"
c: 4292 -1 "Latakian (1980)"
c: 4293 -1 "Jebel Druse (1980)"
c: 4310 -1 "Armenian"
c: 4340 -1 "Turkish"
c: 4350 -1 "Yemeni"
c: 4360 -1 "Omani"
c: 4370 -1 "Muscat"
c: 4380 -1 "Trucial Oman"
c: 4390 -1 "Qatar"
c: 4410 -1 "Bedouin"
c: 4420 -1 "Kurdish"
c: 4440 -1 "Kuria Muria Islander"
c: 4650 -1 "Palestinian"
c: 4660 -1 "Gazan"
c: 4670 -1 "West Bank"
c: 4700 -1 "South Yemeni"
c: 4710 -1 "Aden"
c: 4800 -1 "United Arab Emirates"
c: 4820 -1 "Assyrian/Chaldean/Syriac (1990-2000,ACS)"
c: 4821 -1 "Assyrian"
c: 4822 -1 "Syriac (1980, 2000)"
c: 4823 -1 "Chaldean (2000, ACS, PRCS)"
c: 4900 -1 "Middle Eastern"
c: 4950 -1 "Arab"
c: 4951 -1 "Arabic (1990-2000, ACS, PRCS)"
c: 4960 -1 "Other Arab"
c: 5000 -1 "Angolan"
c: 5020 -1 "Benin"
c: 5040 -1 "Botswana"
c: 5060 -1 "Burundian"
c: 5080 -1 "Cameroonian"
c: 5100 -1 "Cape Verdean"
c: 5120 -1 "Central African Republic"
c: 5130 -1 "Chadian"
c: 5150 -1 "Congolese"
c: 5160 -1 "Congo-Brazzaville"
c: 5190 -1 "Djibouti"
c: 5200 -1 "Equatorial Guinea"
c: 5210 -1 "Corsico Islander"
c: 5220 -1 "Ethiopian"
c: 5230 -1 "Eritrean"
c: 5250 -1 "Gabonese"
c: 5270 -1 "Gambian"
c: 5290 -1 "Ghanian"
c: 5300 -1 "Guinean"
c: 5310 -1 "Guinea Bissau"
c: 5320 -1 "Ivory Coast"
c: 5340 -1 "Kenyan"
c: 5380 -1 "Lesotho"
c: 5410 -1 "Liberian"
c: 5430 -1 "Madagascan"
c: 5450 -1 "Malawian"
c: 5460 -1 "Malian"
c: 5470 -1 "Mauritanian"
c: 5490 -1 "Mozambican"
c: 5500 -1 "Namibian"
c: 5510 -1 "Niger"
c: 5530 -1 "Nigerian"
c: 5540 -1 "Fulani"
c: 5550 -1 "Hausa"
c: 5560 -1 "Ibo"
c: 5570 -1 "Tiv (1980)"
c: 5571 -1 "Tiv (1990-2000)"
c: 5572 -1 "Yoruba (1990-2000)"
c: 5610 -1 "Rwandan"
c: 5640 -1 "Senegalese"
c: 5660 -1 "Sierra Leonean"
c: 5680 -1 "Somalian"
c: 5690 -1 "Swaziland"
c: 5700 -1 "South African"
c: 5710 -1 "Union of South Africa"
c: 5720 -1 "Afrikaner"
c: 5730 -1 "Natalian"
c: 5740 -1 "Zulu"
c: 5760 -1 "Sudanese"
c: 5770 -1 "Dinka"
c: 5780 -1 "Nuer"
c: 5790 -1 "Fur"
c: 5800 -1 "Baggara"
c: 5820 -1 "Tanzanian"
c: 5830 -1 "Tanganyikan"
c: 5840 -1 "Zanzibar"
c: 5860 -1 "Togo"
c: 5880 -1 "Ugandan"
c: 5890 -1 "Upper Voltan"
c: 5900 -1 "Voltan"
c: 5910 -1 "Zairian"
c: 5920 -1 "Zambian"
c: 5930 -1 "Zimbabwean"
c: 5940 -1 "African Islands (1980)"
c: 5941 -1 "African Islands (1990-2000)"
c: 5942 -1 "Mauritius (1990-2000)"
c: 5950 -1 "Other Subsaharan Africa"
c: 5960 -1 "Central African, Middle Congo"
c: 5970 -1 "East African"
c: 5980 -1 "West African"
c: 5990 -1 "African"
c: 6000 -1 "Afghan"
c: 6010 -1 "Baluchi"
c: 6020 -1 "Pathan"
c: 6030 -1 "Bengali (1980)"
c: 6031 -1 "Bangladeshi (1990-2000, ACS, PRCS)"
c: 6032 -1 "Bengali (1990-2000, ACS, PRCS)"
c: 6070 -1 "Bhutanese"
c: 6090 -1 "Nepali"
c: 6150 -1 "Asian Indian (1980)"
c: 6151 -1 "India (1990-2000, ACS, PRCS)"
c: 6152 -1 "East Indian (1990-2000, ACS, PRCS)"
c: 6153 -1 "Madya Pradesh (1990-2000)"
c: 6154 -1 "Orissa (1990-2000)"
c: 6155 -1 "Rajasthani (1990-2000)"
c: 6156 -1 "Sikkim (1990-2000)"
c: 6157 -1 "Uttar Pradesh (1990-2000)"
c: 6220 -1 "Andaman Islander"
c: 6240 -1 "Andhra Pradesh"
c: 6260 -1 "Assamese"
c: 6280 -1 "Goanese"
c: 6300 -1 "Gujarati"
c: 6320 -1 "Karnatakan"
c: 6340 -1 "Keralan"
c: 6380 -1 "Maharashtran"
c: 6400 -1 "Madrasi"
c: 6420 -1 "Mysore"
c: 6440 -1 "Naga"
c: 6480 -1 "Pondicherry"
c: 6500 -1 "Punjabi"
c: 6560 -1 "Tamil"
c: 6750 -1 "East Indies (1990-2000)"
c: 6800 -1 "Pakistani (1980)"
c: 6801 -1 "Pakistani (1990-2000, ACS, PRCS)"
c: 6802 -1 "Kashmiri (1990-2000)"
c: 6900 -1 "Sri Lankan"
c: 6910 -1 "Singhalese"
c: 6920 -1 "Veddah"
c: 6950 -1 "Maldivian"
c: 7000 -1 "Burmese (1990-2000, ACS, PRCS)"
c: 7001 -1 "Burmese (1980)"
c: 7002 -1 "Burman (1980)"
c: 7020 -1 "Shan"
c: 7030 -1 "Cambodian"
c: 7040 -1 "Khmer"
c: 7060 -1 "Chinese"
c: 7070 -1 "Cantonese (1980)"
c: 7071 -1 "Cantonese (1990-2000, ACS, PRCS)"
c: 7072 -1 "Formosan (1990-2000)"
c: 7080 -1 "Manchurian"
c: 7090 -1 "Mandarin (1990-2000)"
c: 7120 -1 "Mongolian (1980)"
c: 7121 -1 "Mongolian (1990-2000, ACS, PRCS)"
c: 7122 -1 "Kalmyk (1990-2000)"
c: 7140 -1 "Tibetan"
c: 7160 -1 "Hong Kong (1990-2000)"
c: 7161 -1 "Hong Kong (1980)"
c: 7162 -1 "Eastern Archipelgo (1980)"
c: 7180 -1 "Macao"
c: 7200 -1 "Filipino"
c: 7300 -1 "Indonesian (1980)"
c: 7301 -1 "Indonesian (1990-2000, ACS, PRCS)"
c: 7302 -1 "Borneo (1990-2000)"
c: 7303 -1 "Java (1990-2000)"
c: 7304 -1 "Sumatran (1990-2000)"
c: 7400 -1 "Japanese (1980)"
c: 7401 -1 "Japanese (1990-2000, ACS, PRCS)"
c: 7402 -1 "Issei (1990-2000)"
c: 7403 -1 "Nisei (1990-2000)"
c: 7404 -1 "Sansei (1990-2000)"
c: 7405 -1 "Yonsei (1990-2000)"
c: 7406 -1 "Gosei (1990-2000)"
c: 7460 -1 "Ryukyu Islander"
c: 7480 -1 "Okinawan"
c: 7500 -1 "Korean"
c: 7650 -1 "Laotian"
c: 7660 -1 "Meo"
c: 7680 -1 "Hmong"
c: 7700 -1 "Malaysian (1980)"
c: 7701 -1 "Malaysian (1990-2000, ACS, PRCS)"
c: 7702 -1 "North Borneo (1990-2000)"
c: 7740 -1 "Singaporean"
c: 7760 -1 "Thai"
c: 7770 -1 "Black Thai"
c: 7780 -1 "Western Lao"
c: 7820 -1 "Taiwanese"
c: 7850 -1 "Vietnamese, Annamese"
c: 7860 -1 "Katu"
c: 7870 -1 "Ma"
c: 7880 -1 "Mnong"
c: 7900 -1 "Montagnard"
c: 7920 -1 "Indochinese"
c: 7930 -1 "Eurasian"
c: 7931 -1 "Amerasian"
c: 7950 -1 "Asian"
c: 7960 -1 "Other Asian"
c: 8000 -1 "Australian"
c: 8010 -1 "Tasmanian"
c: 8020 -1 "Australian Aborigine (1990-2000)"
c: 8030 -1 "New Zealander"
c: 8080 -1 "Polynesian (1990-2000, ACS, PRCS)"
c: 8081 -1 "Polynesian (1980)"
c: 8082 -1 "Norfolk Islander (1980)"
c: 8090 -1 "Kapinagamarangan (1990-2000)"
c: 8091 -1 "Kapinagamarangan (1980)"
c: 8092 -1 "Nukuoroan (1980)"
c: 8100 -1 "Maori"
c: 8110 -1 "Hawaiian"
c: 8130 -1 "Part Hawaiian"
c: 8140 -1 "Samoan (1990-2000, ACS, PRCS)"
c: 8141 -1 "Samoan (1980)"
c: 8142 -1 "American Samoan (1980)"
c: 8143 -1 "French Samoan"
c: 8144 -1 "Part Samoan (1990-2000)"
c: 8150 -1 "Tongan"
c: 8160 -1 "Tokelauan"
c: 8170 -1 "Cook Islander"
c: 8180 -1 "Tahitian, French Polynesian, Society Islander"
c: 8190 -1 "Niuean"
c: 8200 -1 "Micronesian (1990-2000, ACS, PRCS)"
c: 8201 -1 "Micronesian (1980)"
c: 8202 -1 "U.S. Trust Terr of the Pacific"
c: 8210 -1 "Guamanian"
c: 8220 -1 "Chamorro Islander"
c: 8230 -1 "Saipanese (1990-2000)"
c: 8231 -1 "Saipanese (1980)"
c: 8232 -1 "Norther Marianas (1980)"
c: 8240 -1 "Palauan"
c: 8250 -1 "Marshall Islander"
c: 8260 -1 "Kosraean"
c: 8270 -1 "Ponapean (1990-2000)"
c: 8271 -1 "Ponapean (1980)"
c: 8272 -1 "Mokilese (1980)"
c: 8273 -1 "Ngatikese (1980)"
c: 8274 -1 "Pingelapese (1980)"
c: 8280 -1 "Chuukese"
c: 8281 -1 "Hall Islander (1980)"
c: 8282 -1 "Mortlockese (1980)"
c: 8283 -1 "Namanouito (1980)"
c: 8284 -1 "Pulawatese (1980)"
c: 8285 -1 "Truk Islander"
c: 8290 -1 "Yap Islander"
c: 8300 -1 "Caroline Islander (1990-2000)"
c: 8301 -1 "Caroline Islander (1980)"
c: 8302 -1 "Lamotrekese (1980)"
c: 8303 -1 "Ulithian (1980)"
c: 8304 -1 "Woleaian (1980)"
c: 8310 -1 "Kiribatese"
c: 8320 -1 "Nauruan"
c: 8330 -1 "Tarawa Islander (1990-2000)"
c: 8340 -1 "Tinian Islander (1990-2000)"
c: 8400 -1 "Melanesian Islander"
c: 8410 -1 "Fijian"
c: 8430 -1 "New Guinean"
c: 8440 -1 "Papuan"
c: 8450 -1 "Solomon Islander"
c: 8460 -1 "New Caledonian Islander"
c: 8470 -1 "Vanuatuan"
c: 8500 -1 "Pacific Islander (1990-2000, ACS, PRCS)"
c: 8501 -1 "Campbell Islander (1980)"
c: 8502 -1 "Christmas Islander (1980)"
c: 8503 -1 "Kermadec Islander (1980)"
c: 8504 -1 "Midway Islander (1980)"
c: 8505 -1 "Phoenix Islander (1980)"
c: 8506 -1 "Wake Islander (1980)"
c: 8600 -1 "Oceania"
c: 8620 -1 "Chamolinian (1990-2000)"
c: 8630 -1 "Reserved Codes"
c: 8700 -1 "Other Pacific"
c: 9000 -1 "Afro-American"
c: 9001 -1 "Afro-American (1990-2000, ACS, PRCS)"
c: 9002 -1 "Black (1990-2000, ACS, PRCS)"
c: 9003 -1 "Negro (1990-2000, ACS, PRCS)"
c: 9004 -1 "Nonwhite (1990-2000)"
c: 9005 -1 "Colored (1990-2000)"
c: 9006 -1 "Creole (1990-2000, ACS, PRCS)"
c: 9007 -1 "Mulatto (1990-2000)"
c: 9008 -1 "Afro"
c: 9020 -1 "African-American (1990-2000, ACS, PRCS)"
c: 9130 -1 "Central American Indian (1990-2000, ACS, PRCS)"
c: 9140 -1 "South Amerianc Indian (1990-2000, ACS, PRCS)"
c: 9200 -1 "American Indian  (all tribes)"
c: 9201 -1 "American Indian-English-French"
c: 9202 -1 "American Indian-English-German"
c: 9203 -1 "American Indian-English-Irish"
c: 9204 -1 "American Indian-German-Irish"
c: 9205 -1 "Cherokee"
c: 9206 -1 "Native American"
c: 9207 -1 "Indian"
c: 9210 -1 "Aleut"
c: 9220 -1 "Eskimo"
c: 9230 -1 "Inuit"
c: 9240 -1 "White/Caucasian"
c: 9241 -1 "White/Caucasian (1990-2000, ACS, PRCS)"
c: 9242 -1 "Anglo (1990-2000, ACS, PRCS)"
c: 9243 -1 "Appalachian (1990-2000, ACS, PRCS)"
c: 9244 -1 "Aryan (1990-2000)"
c: 9300 -1 "Greenlander"
c: 9310 -1 "Canadian"
c: 9330 -1 "Newfoundland"
c: 9340 -1 "Nova Scotian"
c: 9350 -1 "French Canadian"
c: 9360 -1 "Acadian"
c: 9361 -1 "Acadian (1990-2000, ACS, PRCS)"
c: 9362 -1 "Cajun (1990-2000, ACS, PRCS)"
c: 9390 -1 "American"
c: 9400 -1 "United States"
c: 9410 -1 "Alabama"
c: 9420 -1 "Alaska"
c: 9430 -1 "Arizona"
c: 9440 -1 "Arkansas"
c: 9450 -1 "California"
c: 9460 -1 "Colorado"
c: 9470 -1 "Connecticut"
c: 9480 -1 "District of Columbia"
c: 9490 -1 "Delaware"
c: 9500 -1 "Florida"
c: 9510 -1 "Georgia"
c: 9520 -1 "Idaho"
c: 9530 -1 "Illinois"
c: 9540 -1 "Indiana"
c: 9550 -1 "Iowa"
c: 9560 -1 "Kansas"
c: 9570 -1 "Kentucky"
c: 9580 -1 "Louisiana"
c: 9590 -1 "Maine"
c: 9600 -1 "Maryland"
c: 9610 -1 "Massachusetts"
c: 9620 -1 "Michigan"
c: 9630 -1 "Minnesota"
c: 9640 -1 "Mississippi"
c: 9650 -1 "Missouri"
c: 9660 -1 "Montana"
c: 9670 -1 "Nebraska"
c: 9680 -1 "Nevada"
c: 9690 -1 "New Hampshire"
c: 9700 -1 "New Jersey"
c: 9710 -1 "New Mexico"
c: 9720 -1 "New York"
c: 9730 -1 "North Carolina"
c: 9740 -1 "North Dakota"
c: 9750 -1 "Ohio"
c: 9760 -1 "Oklahoma"
c: 9770 -1 "Oregon"
c: 9780 -1 "Pennsylvania"
c: 9790 -1 "Rhode Island"
c: 9800 -1 "South Carolina"
c: 9810 -1 "South Dakota"
c: 9820 -1 "Tennessee"
c: 9830 -1 "Texas"
c: 9840 -1 "Utah"
c: 9850 -1 "Vermont"
c: 9860 -1 "Virginia"
c: 9870 -1 "Washington"
c: 9880 -1 "West Virginia"
c: 9890 -1 "Wisconsin"
c: 9900 -1 "Wyoming"
c: 9930 -1 "Southerner"
c: 9940 -1 "North American"
c: 9950 -1 "Mixture"
c: 9960 -1 "Uncodable"
c: 9961 -1 "Not Classified"
c: 9970 -1 "Deferred Cases"
c: 9980 -1 "Other"
c: 9990 -1 "Not Reported"
I: YRIMMIPR 0 999 -1 999 773 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....xx...xx......x.x.x
l: Year of immigration to Puerto Rico
s: Year of immigration to Puerto Rico
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "2000"
c: 2 -1 "2001"
c: 3 -1 "2002"
c: 4 -1 "2003"
c: 5 -1 "2004"
c: 6 -1 "2005"
c: 7 -1 "2006"
c: 8 -1 "2007"
c: 999 -1 "1999"
c: 998 -1 "1998"
c: 997 -1 "1997"
c: 996 -1 "1996"
c: 995 -1 "1995"
c: 994 -1 "1994"
c: 993 -1 "1993"
c: 992 -1 "1992"
c: 991 -1 "1991"
c: 990 -1 "1990 (1987-90, 1990)"
c: 989 -1 "1989"
c: 988 -1 "1988"
c: 987 -1 "1987"
c: 986 -1 "1986 (1985-86, 1990)"
c: 985 -1 "1985"
c: 984 -1 "1984 (1982-84, 1990)"
c: 983 -1 "1983"
c: 982 -1 "1982"
c: 981 -1 "1981 (1980-81, 1990)"
c: 980 -1 "1980 (1975-1979, 1990; 1975-1980, 1980)"
c: 979 -1 "1979"
c: 978 -1 "1978"
c: 977 -1 "1977"
c: 976 -1 "1976"
c: 975 -1 "1975"
c: 974 -1 "1974 (1970-74, 1980-1990)"
c: 973 -1 "1973"
c: 972 -1 "1972"
c: 971 -1 "1971"
c: 970 -1 "1970 (1965-1969, 1980-1990)"
c: 969 -1 "1969"
c: 968 -1 "1968"
c: 967 -1 "1967"
c: 966 -1 "1966"
c: 965 -1 "1965"
c: 964 -1 "1964 (1960-64, 1980-1990)"
c: 963 -1 "1963"
c: 962 -1 "1962"
c: 961 -1 "1961"
c: 960 -1 "1960"
c: 959 -1 "1959 (1950-59, 1980-1990)"
c: 958 -1 "1958"
c: 957 -1 "1957"
c: 956 -1 "1956"
c: 955 -1 "1955"
c: 954 -1 "1954"
c: 953 -1 "1953"
c: 952 -1 "1952"
c: 951 -1 "1951"
c: 950 -1 "1950"
c: 949 -1 "1949 (1949 or earlier, 1980-1990)"
c: 948 -1 "1948"
c: 947 -1 "1947"
c: 946 -1 "1946"
c: 945 -1 "1945"
c: 944 -1 "1944"
c: 943 -1 "1943"
c: 942 -1 "1942"
c: 941 -1 "1941"
c: 940 -1 "1940"
c: 939 -1 "1939"
c: 938 -1 "1938"
c: 937 -1 "1937"
c: 936 -1 "1936"
c: 935 -1 "1935"
c: 934 -1 "1934"
c: 933 -1 "1933 (1933-1934, PRCS)"
c: 932 -1 "1932"
c: 931 -1 "1931 (1931-1932, PRCS)"
c: 930 -1 "1930 (1930-1934, 2000 5%)"
c: 929 -1 "1929"
c: 928 -1 "1928"
c: 927 -1 "1927"
c: 926 -1 "1926"
c: 925 -1 "1925"
c: 924 -1 "1924"
c: 923 -1 "1923"
c: 922 -1 "1922"
c: 921 -1 "1921"
c: 920 -1 "1920"
c: 919 -1 "1919 (1919 or earlier, PRCS)"
c: 918 -1 "1918"
c: 917 -1 "1917"
c: 916 -1 "1916"
c: 915 -1 "1915 (1915-1919, 2000 5%)"
c: 914 -1 "1914"
c: 913 -1 "1913"
c: 912 -1 "1912"
c: 911 -1 "1911 (1911-1914, 2000 5%)"
c: 910 -1 "1910 or earlier"
I: HISP1970 0 9 -1 9 776 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x..................................
l: Hispanic origin, 1970 alternate version
s: Hispanic origin, 1970 alternate version
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Not Hispanic"
c: 1 -1 "Mexican"
c: 2 -1 "Puerto Rican"
c: 3 -1 "Cuban"
c: 4 -1 "Central/South American"
c: 5 -1 "Other Spanish"
c: 9 -1 "Not Reported"
I: SPEAKSPA 0 2 -1 2 777 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....xx................
l: Speaks Spanish, Puerto Rico samples
s: Speaks Spanish, Puerto Rico samples
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Does not speak Spanish"
c: 2 -1 "Yes, speaks Spanish"
I: SCHLVOC 0 8 -1 8 778 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x.xxx..............................
l: Vocational training
s: Vocational training
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No vocational training"
c: 2 -1 "Business, office work"
c: 3 -1 "Nursing, health fields"
c: 4 -1 "Trades and crafts"
c: 5 -1 "Engineering, drafting, science technician"
c: 6 -1 "Agriculture, home economics"
c: 7 -1 "Other vocational field"
c: 8 -1 "Field  not reported"
I: VOCSCTYP 0 5 -1 5 779 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .................................xx.....xx................
l: Type of vocational school, Puerto Rico
s: Type of vocational school, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Business/trade school/junior college"
c: 2 -1 "High school vocational program"
c: 3 -1 "Training program at place of work"
c: 4 -1 "Other school"
c: 5 -1 "Type of training not reported"
I: VOCTRAIN 0 2 -1 2 780 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx.....xx.....xx................
l: Completion of vocational training, Puerto Rico
s: Completion of vocational training, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Yes, vocational training complete"
c: 2 -1 "No, vocational training not complete"
I: VOCTRTYP 0 7 -1 7 781 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx..............................
l: Main field of vocational training, Puerto Rico
s: Main field of vocational training, Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Business, office work"
c: 2 -1 "Nursing, other health fields"
c: 3 -1 "Trades and crafts"
c: 4 -1 "Engineering or science technician, draftsman"
c: 5 -1 "Agriculture or home economics"
c: 6 -1 "Other field"
c: 7 -1 "Not reported"
I: PRLIT 0 2 -1 2 782 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  .........................xxx.....xx.....xx................
l: Literacy in Puerto Rico
s: Literacy in Puerto Rico
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, illiterate (cannot read or write)"
c: 2 -1 "Yes, literate (reads and writes)"
I: UHRSWORK -1 -1 -1 99 783 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Usual hours worked per week
s: Usual hours worked per week
c: ".." -1 -1 "Not Available for this Year and Data Set"
I: ABSENT 0 4 -1 4 785 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Absent from work last week
s: Absent from work last week
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes, laid off"
c: 3 -1 "Yes, other reason (vacation, illness, labor dispute, etc.)"
c: 4 -1 "Not reported"
I: LOOKING 0 3 -1 3 786 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Looking for work
s: Looking for work
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, did not look for work"
c: 2 -1 "Yes, looked for work"
c: 3 -1 "Not reported"
I: AVAILBLE 0 5 -1 5 787 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Available for work
s: Available for work
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No, already has job"
c: 2 -1 "No, temporarily ill"
c: 3 -1 "No, other reason(s)"
c: 4 -1 "Yes, available for work"
c: 5 -1 "Not reported"
I: INCBUS -1 -1 -9999 999999 788 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxx................
l: Non-farm business income
s: Non-farm business income
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: INCFARM -1 -1 -9999 999999 794 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxx................
l: Farm income
s: Farm income
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: INCSS -1 -1 -1 99999 800 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Social Security income
s: Social Security income
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: INCWELFR -1 -1 -1 99999 805 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Welfare (public assistance) income
s: Welfare (public assistance) income
c: "....." -1 -1 "Not Available for this Year and Data Set"
I: INCINVST -1 -1 -10186 999999 810 6
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxxxxxxxxxxxxxxxxxxxxxxxxx
l: Interest, dividend, and rental income
s: Interest, dividend, and rental income
c: "......" -1 -1 "Not Available for this Year and Data Set"
I: MIGTYP5E 0 26 -1 26 816 2
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ................................x.........................
l: Detailed urban/rural category residence 5 years ago
s: Detailed urban/rural category residence 5 years ago
c: ".." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "Living in same house"
c: 2 -1 "Central City (cc)"
c: 3 -1 "Outside cc, in place greater than 2,500"
c: 4 -1 "Outside cc, in place less than 2,500 or place not reported"
c: 5 -1 "Central City (cc)"
c: 6 -1 "Outside cc, in place greater than 2,500"
c: 7 -1 "Outside cc, in place less than 2,500 or place not reported"
c: 8 -1 "Central City (cc)"
c: 9 -1 "Outside cc, in place greater than 2,500"
c: 10 -1 "Outside cc, in place less than 2,500 or place not reported"
c: 11 -1 "Place size 25,000 or more"
c: 12 -1 "Place size 10,000 - 24,999"
c: 13 -1 "Place size 2,500 - 9,999"
c: 14 -1 "Place size less than 2,500 or place not reported"
c: 15 -1 "Abroad"
c: 16 -1 "Central City (cc)"
c: 17 -1 "Outside cc, in place greater than 2,500"
c: 18 -1 "Outside cc, in place less than 2,500 or place not reported"
c: 19 -1 "Central City (cc)"
c: 20 -1 "Outside cc, in place greater than 2,500"
c: 21 -1 "Outside cc, in place less than 2,500 or place not reported"
c: 22 -1 "Place size 25,000 or more"
c: 23 -1 "Place size 10,000 - 24,999"
c: 24 -1 "Place size 2,500 - 9,999"
c: 25 -1 "Place size less than 2,500 or place not reported"
c: 26 -1 "Abroad"
I: MIGLMA5 -1 -1 -1 999 818 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................x.......x..................
l: Labor Market area of residence 5 years ago
s: Labor Market area of residence 5 years ago
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: MIGCZ5 72000 98999 -2 98999 821 5
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...............................x..........................
l: LMA Commuting Zone, 5 years ago
s: LMA Commuting Zone, 5 years ago
c: "....." -1 -1 "Not Available for this Year and Data Set"
c: 72000 -1 "Puerto Rico"
c: 73000 -1 "U.S. Outlying Area"
c: 97000 -1 "Abroad"
c: 98999 -1 "Same House"
c: "ZZZZZ" -2 -1 "ZZZZZ"
I: MIGCOGRP -1 -1 -1 999 826 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xx...xx.......................
l: County group of residence 5 years ago
s: County group of residence 5 years ago
c: "..." -1 -1 "Not Available for this Year and Data Set"
I: MIGSAMP 1 2 -1 2 829 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ............................xxxxxxx.......................
l: Migration sample identifier
s: Migration sample identifier
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 1 -1 "Person not in migration sample"
c: 2 -1 "Person is in migration sample"
I: WORK5YR 0 9 -1 9 830 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxxxx.......................
l: Working 5 years ago
s: Working 5 years ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes (1970)"
c: 3 -1 "Yes, full time (35+ hours)"
c: 4 -1 "Yes, part time (1-34 hours)"
c: 9 -1 "Not reported"
I: MILIT5YR 0 9 -1 9 831 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxxxx.......................
l: Armed forces 5 years ago
s: Armed forces 5 years ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
c: 9 -1 "Not reported"
I: COLL5YR 0 9 -1 9 832 1
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................xxxxxx...xxxxxxx.......................
l: College 5 years ago
s: College 5 years ago
c: "." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A"
c: 1 -1 "No"
c: 2 -1 "Yes"
c: 9 -1 "Not reported"
I: OCC5YR 0 995 -1 995 833 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x..................................
l: Occupation 5 years ago
s: Occupation 5 years ago
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "N/A (Not Applicable)"
c: 1 -1 "Accountants"
c: 2 -1 "Architects"
c: 3 -1 "Computer programmers"
c: 4 -1 "Computer systems analysts"
c: 5 -1 "Computer specialists, n.e.c."
c: 6 -1 "Aeronautical and astronautical engineers"
c: 10 -1 "Chemical engineers"
c: 11 -1 "Civil engineers"
c: 12 -1 "Electrical end electronic engineers"
c: 13 -1 "Industrial engineers"
c: 14 -1 "Mechanical engineers"
c: 15 -1 "Metallurgical and materials engineers"
c: 20 -1 "Mining engineers"
c: 21 -1 "Petroleum engineers"
c: 22 -1 "Sales engineers"
c: 23 -1 "Engineers, n.e.c."
c: 24 -1 "Farm management advisors"
c: 25 -1 "Foresters and conservationists"
c: 26 -1 "Home management advisors"
c: 30 -1 "Judges"
c: 31 -1 "Lawyers"
c: 32 -1 "Librarians"
c: 33 -1 "Archivists and curators"
c: 34 -1 "Actuaries"
c: 35 -1 "Mathematicians"
c: 36 -1 "Statisticians"
c: 42 -1 "Agricultural scientists"
c: 43 -1 "Atmospheric and space scientists"
c: 44 -1 "Biological scientists"
c: 45 -1 "Chemists"
c: 51 -1 "Geologists"
c: 52 -1 "Marine scientists"
c: 53 -1 "Physicists and astronomers"
c: 54 -1 "Life and physical scientists, n.e.c."
c: 55 -1 "Operations and systems researchers and analysts"
c: 56 -1 "Personnel and labor relations workers"
c: 61 -1 "Chiropractors"
c: 62 -1 "Dentists"
c: 63 -1 "Optometrists"
c: 64 -1 "Pharmacists"
c: 65 -1 "Physicians, medical and osteopathic"
c: 71 -1 "Podiatrists"
c: 72 -1 "Veterinarians"
c: 73 -1 "Health practitioners, n.e.c."
c: 74 -1 "Dietitians"
c: 75 -1 "Registered nurses"
c: 76 -1 "Therapists"
c: 80 -1 "Clinical laboratory technologists and technicians"
c: 81 -1 "Dental hygienists"
c: 82 -1 "Health record technologists and technicians"
c: 83 -1 "Radiologic technologists and technicians"
c: 84 -1 "Therapy assistants"
c: 85 -1 "Health technologists and technicians, n.e.c."
c: 86 -1 "Clergymen"
c: 90 -1 "Religious workers, n.e.c."
c: 91 -1 "Economists"
c: 92 -1 "Political scientists"
c: 93 -1 "Psychologists"
c: 94 -1 "Sociologists"
c: 95 -1 "Urban and regional planners"
c: 96 -1 "Social scientists, n.e.c."
c: 100 -1 "Social workers"
c: 101 -1 "Recreation workers"
c: 102 -1 "Agriculture teachers"
c: 103 -1 "Atmospheric, earth, marine, and space teachers"
c: 104 -1 "Biology teachers"
c: 105 -1 "Chemistry teachers"
c: 110 -1 "Physics teachers"
c: 111 -1 "Engineering teachers"
c: 112 -1 "Mathematics teachers"
c: 113 -1 "Health specialties teachers"
c: 114 -1 "Psychology teachers"
c: 115 -1 "Business and commerce teachers"
c: 116 -1 "Economics teachers"
c: 120 -1 "History teachers"
c: 121 -1 "Sociology teachers"
c: 122 -1 "Social science teachers, n.e.c."
c: 123 -1 "Art, drama, and music teachers"
c: 124 -1 "Coaches and physical education teachers"
c: 125 -1 "Education teachers"
c: 126 -1 "English teachers"
c: 130 -1 "Foreign language teachers"
c: 131 -1 "Home economics teachers"
c: 132 -1 "Law teachers"
c: 133 -1 "Theology teachers"
c: 134 -1 "Trade, industrial, and technical teachers"
c: 135 -1 "Miscellaneous teachers, college and university"
c: 140 -1 "Teachers, college and university, subject not specified"
c: 141 -1 "Adult education teachers"
c: 142 -1 "Elementary school teachers"
c: 143 -1 "Prekindergarten and kindergarten teachers"
c: 144 -1 "Secondary school teachers"
c: 145 -1 "Teachers, except college and university, n.e.c."
c: 150 -1 "Agriculture and biological technicians, except health"
c: 151 -1 "Chemical technicians"
c: 152 -1 "Draftsmen"
c: 153 -1 "Electrical and electronic engineering technicians"
c: 154 -1 "Industrial engineering technicians"
c: 155 -1 "Mechanical engineering technicians"
c: 156 -1 "Mathematical technicians"
c: 161 -1 "Surveyors"
c: 162 -1 "Engineering and science technicians, n.e.c."
c: 163 -1 "Airplane pilots"
c: 164 -1 "Air traffic controllers"
c: 165 -1 "Embalmers"
c: 170 -1 "Flight engineers"
c: 171 -1 "Radio operators"
c: 172 -1 "Tool programmers, numerical control"
c: 173 -1 "Technicians, n.e.c."
c: 174 -1 "Vocational and educational counselors"
c: 175 -1 "Actors"
c: 180 -1 "Athletes and kindred workers"
c: 181 -1 "Authors"
c: 182 -1 "Dancers"
c: 183 -1 "Designers"
c: 184 -1 "Editors and reporters"
c: 185 -1 "Musicians and composers"
c: 190 -1 "Painters and sculptors"
c: 191 -1 "Photographers"
c: 192 -1 "Public relations men and publicity writers"
c: 193 -1 "Radio and television announcers"
c: 194 -1 "Writers, artists, and entertainers, n.e.c."
c: 195 -1 "Research workers, n.s."
c: 196 -1 "Professional, technical, and kindred workers -- allocated"
c: 201 -1 "Assessors, controllers, and treasurers, local public adminis"
c: 202 -1 "Bank officers and financial managers"
c: 203 -1 "Buyers and shippers, farm products"
c: 205 -1 "Buyers, wholesale and retail trade"
c: 210 -1 "Credit men"
c: 211 -1 "Funeral directors"
c: 212 -1 "Health administrators"
c: 213 -1 "Construction inspectors, public administration"
c: 215 -1 "Inspectors, except construction, public administration"
c: 216 -1 "Managers and superintendents, building"
c: 220 -1 "Office managers, n.e.c."
c: 221 -1 "Officers, pilots, and pursers, ship"
c: 222 -1 "Officials and administrators, public administration, n.e.c."
c: 223 -1 "Officials of lodges, societies, and unions"
c: 224 -1 "Postmasters and mail superintendents"
c: 225 -1 "Purchasing agents and buyers, n.e.c."
c: 226 -1 "Railroad conductors"
c: 230 -1 "Restaurant, cafeteria, and bar managers"
c: 231 -1 "Sales managers and department heads, retail trade"
c: 233 -1 "Sales managers, except retail trade"
c: 235 -1 "School administrators, college"
c: 240 -1 "School administrators, elementary and secondary"
c: 245 -1 "Managers and administrators, n.e.c."
c: 246 -1 "Managers and administrators, except farm--allocated"
c: 260 -1 "Advertising agents and salesmen"
c: 261 -1 "Auctioneers"
c: 262 -1 "Demonstrators"
c: 264 -1 "Hucksters and peddlers"
c: 265 -1 "Insurance agents, brokers, and underwriters"
c: 266 -1 "Newsboys"
c: 270 -1 "Real estate agents and brokers"
c: 271 -1 "Stock and bond salesmen"
c: 280 -1 "Salesmen and sales clerks, n.e.c."
c: 281 -1 "Sales representatives, manufacturing industries"
c: 282 -1 "Sales representatives, wholesale trade"
c: 283 -1 "Sales clerks, retail trade"
c: 284 -1 "Salesmen, retail trade"
c: 285 -1 "Salesmen of services and construction"
c: 296 -1 "Sales workers--allocated"
c: 301 -1 "Bank tellers"
c: 303 -1 "Billing clerks"
c: 305 -1 "Bookkeepers"
c: 310 -1 "Cashiers"
c: 311 -1 "Clerical assistants, social welfare"
c: 312 -1 "Clerical supervisors, n.e.c."
c: 313 -1 "Collectors, bill and account"
c: 314 -1 "Counter clerks, except food"
c: 315 -1 "Dispatchers and starters, vehicle"
c: 320 -1 "Enumerators and interviewers"
c: 321 -1 "Estimators and investigators, n.e.c."
c: 323 -1 "Expediters and production controllers"
c: 325 -1 "File clerks"
c: 326 -1 "Insurance adjusters, examiners, and investigators"
c: 330 -1 "Library attendants and assistants"
c: 331 -1 "Mail carriers, post office"
c: 332 -1 "Mail handlers, except post office"
c: 333 -1 "Messengers and office boys"
c: 334 -1 "Meter readers, utilities"
c: 341 -1 "Bookkeeping and billing machine operators"
c: 342 -1 "Calculating machine operators"
c: 343 -1 "Computer and peripheral equipment operators"
c: 344 -1 "Duplicating machine operators"
c: 345 -1 "Key punch operators"
c: 350 -1 "Tabulating machine operators"
c: 355 -1 "Office machine operators, n.e.c."
c: 360 -1 "Payroll and timekeeping clerks"
c: 361 -1 "Postal clerks"
c: 362 -1 "Proofreaders"
c: 363 -1 "Real estate appraisers"
c: 364 -1 "Receptionists"
c: 370 -1 "Secretaries, legal"
c: 371 -1 "Secretaries, medical"
c: 372 -1 "Secretaries, n.e.c."
c: 374 -1 "Shipping and receiving clerks"
c: 375 -1 "Statistical clerks"
c: 376 -1 "Stenographers"
c: 381 -1 "Stock clerks and storekeepers"
c: 382 -1 "Teacher aides, except school monitors"
c: 383 -1 "Telegraph messengers"
c: 384 -1 "Telegraph operators"
c: 385 -1 "Telephone operators"
c: 390 -1 "Ticket, station, and express agents"
c: 391 -1 "Typists"
c: 392 -1 "Weighers"
c: 394 -1 "Miscellaneous clerical workers"
c: 395 -1 "Clerical workers, n.s."
c: 396 -1 "Clerical and kindred workers -- allocated"
c: 401 -1 "Automobile accessories installers"
c: 402 -1 "Bakers"
c: 403 -1 "Blacksmiths"
c: 404 -1 "Boilermakers"
c: 405 -1 "Bookbinders"
c: 410 -1 "Brickmasons and stonemasons"
c: 411 -1 "Brickmason and stonemason apprentices"
c: 412 -1 "Bulldozer operators"
c: 413 -1 "Cabinetmakers"
c: 415 -1 "Carpenters"
c: 416 -1 "Carpenter apprentices"
c: 420 -1 "Carpet installers"
c: 421 -1 "Cement and concrete finishers"
c: 422 -1 "Compositors and typesetters"
c: 423 -1 "Printing trades apprentices, except pressmen"
c: 424 -1 "Cranemen, derrickmen, and hoistmen"
c: 425 -1 "Decorators and window dressers"
c: 426 -1 "Dental laboratory technicians"
c: 430 -1 "Electricians"
c: 431 -1 "Electrician apprentices"
c: 433 -1 "Electric power linemen and cablemen"
c: 434 -1 "Electrotypers and stereotypers"
c: 435 -1 "Engravers, except photoengravers"
c: 436 -1 "Excavating, grading, and road machine operators, except bull"
c: 440 -1 "Floor layers, except tile setters"
c: 441 -1 "Foremen, n.e.c."
c: 442 -1 "Forgemen and hammermen"
c: 443 -1 "Furniture and wood finishers"
c: 444 -1 "Furriers"
c: 445 -1 "Glaziers"
c: 446 -1 "Heat treaters, annealers, and temperers"
c: 450 -1 "Inspectors, scalers, and graders, log and lumber"
c: 452 -1 "Inspectors, n.e.c."
c: 453 -1 "Jewelers and watchmakers"
c: 454 -1 "Job and die setters, metal"
c: 455 -1 "Locomotive engineers"
c: 456 -1 "Locomotive firemen"
c: 461 -1 "Machinists"
c: 462 -1 "Machinist apprentices"
c: 470 -1 "Air conditioning, heating, and refrigeration"
c: 471 -1 "Aircraft"
c: 472 -1 "Automobile body repairmen"
c: 473 -1 "Automobile mechanics"
c: 474 -1 "Automobile mechanic apprentices"
c: 475 -1 "Data processing machine repairmen"
c: 480 -1 "Farm implement"
c: 481 -1 "Heavy equipment and diesel mechanics"
c: 482 -1 "Household appliance and accessory installers and mechanics"
c: 483 -1 "Loom fixers"
c: 484 -1 "Office machine"
c: 485 -1 "Radio and television"
c: 486 -1 "Railroad and car shop"
c: 491 -1 "Mechanic apprentices, except automobile"
c: 492 -1 "Miscellaneous mechanics and repairmen"
c: 495 -1 "Mechanics and repairmen, n.s."
c: 501 -1 "Millers, grain, flour, and feed"
c: 502 -1 "Millwrights"
c: 503 -1 "Molders, metal"
c: 504 -1 "Molder apprentices"
c: 505 -1 "Motion picture projectionists"
c: 506 -1 "Opticians, and lens grinders and polishers"
c: 510 -1 "Painters, construction and maintenance"
c: 511 -1 "Painter apprentices"
c: 512 -1 "Paperhangers"
c: 514 -1 "Pattern and model makers, except paper"
c: 515 -1 "Photoengravers and lithographers"
c: 516 -1 "Piano and organ tuners and repairmen"
c: 520 -1 "Plasterers"
c: 521 -1 "Plasterer apprentices"
c: 522 -1 "Plumbers and pipe fitters"
c: 523 -1 "Plumber and pipe fitter apprentices"
c: 525 -1 "Power station operators"
c: 530 -1 "Pressmen and plate printers, printing"
c: 531 -1 "Pressman apprentices"
c: 533 -1 "Rollers and finishers, metal"
c: 534 -1 "Roofers and slaters"
c: 535 -1 "Sheetmetal workers and tinsmiths"
c: 536 -1 "Sheetmetal apprentices"
c: 540 -1 "Shipfitters"
c: 542 -1 "Shoe repairmen"
c: 543 -1 "Sign painters and letterers"
c: 545 -1 "Stationary engineers"
c: 546 -1 "Stone cutters and stone carvers"
c: 550 -1 "Structural metal craftsmen"
c: 551 -1 "Tailors"
c: 552 -1 "Telephone installers and repairmen"
c: 554 -1 "Telephone linemen and splicers"
c: 560 -1 "Tile setters"
c: 561 -1 "Tool and die makers"
c: 562 -1 "Tool and die maker apprentices"
c: 563 -1 "Upholsterers"
c: 571 -1 "Craft apprentices, n.e.c."
c: 572 -1 "Apprentices, craft not specified"
c: 575 -1 "Craftsmen and kindred workers, n.e.c."
c: 580 -1 "Former members of the Armed Forces"
c: 586 -1 "Craftsmen and kindred workers-- allocated"
c: 601 -1 "Asbestos and insulation workers"
c: 602 -1 "Assemblers"
c: 603 -1 "Blasters and powdermen"
c: 604 -1 "Bottling and canning operatives"
c: 605 -1 "Chainmen, rodmen, and axemen, surveying"
c: 610 -1 "Checkers, examiners, and inspectors, manufacturing"
c: 611 -1 "Clothing ironers and pressers"
c: 612 -1 "Cutting operatives, n.e.c."
c: 613 -1 "Dressmakers and seamstresses, except factory"
c: 614 -1 "Drillers, earth"
c: 615 -1 "Dry wall installers and lathers"
c: 620 -1 "Dyers"
c: 621 -1 "Filers, polishers, sanders, and buffers"
c: 622 -1 "Furnacemen, smeltermen, and pourers"
c: 623 -1 "Garage workers and gas station attendants"
c: 624 -1 "Graders and sorters, manufacturing"
c: 625 -1 "Produce graders and packers, except factory and farm"
c: 626 -1 "Heaters, metal"
c: 630 -1 "Laundry and dry cleaning operatives, n.e.c."
c: 631 -1 "Meat cutters and butchers, except manufacturing"
c: 633 -1 "Meat cutters and butchers, manufacturing"
c: 634 -1 "Meat wrappers, retail trade"
c: 635 -1 "Metal platers"
c: 636 -1 "Milliners"
c: 640 -1 "Mine operatives, n.e.c."
c: 641 -1 "Mixing operatives"
c: 642 -1 "Oilers and greasers, except auto"
c: 643 -1 "Packers and wrappers, except meat and produce"
c: 644 -1 "Painters, manufactured articles"
c: 645 -1 "Photographic process workers"
c: 650 -1 "Drill press operatives"
c: 651 -1 "Grinding machine operatives"
c: 652 -1 "Lathe and milling machine operatives"
c: 653 -1 "Precision machine operatives, n.e.c."
c: 656 -1 "Punch and stamping press operatives"
c: 660 -1 "Riveters and fasteners"
c: 661 -1 "Sailors and deckhands"
c: 662 -1 "Sawyers"
c: 663 -1 "Sewers and stitchers"
c: 664 -1 "Shoemaking machine operatives"
c: 665 -1 "Solderers"
c: 666 -1 "Stationary firemen"
c: 670 -1 "Carding, lapping, and combing operatives"
c: 671 -1 "Knitters, loopers, and toppers"
c: 672 -1 "Spinners, twisters, and winders"
c: 673 -1 "Weavers"
c: 674 -1 "Textile operatives, n.e.c."
c: 680 -1 "Welders and flame-cutters"
c: 681 -1 "Winding operatives, n.e.c."
c: 690 -1 "Miscellaneous machine operatives"
c: 692 -1 "Machine operatives, n.s."
c: 694 -1 "Miscellaneous operatives"
c: 695 -1 "Operatives, n.s."
c: 696 -1 "Operatives, except transport--allocated"
c: 701 -1 "Boatmen and canalmen"
c: 703 -1 "Busdrivers"
c: 704 -1 "Conductors and motormen, urban rail transit"
c: 705 -1 "Deliverymen and routemen"
c: 706 -1 "Fork lift and tow motor operatives"
c: 710 -1 "Motormen in mines, factories, logging camps, etc."
c: 711 -1 "Parking attendants"
c: 712 -1 "Railroad brakemen"
c: 713 -1 "Railroad switchmen"
c: 714 -1 "Taxicab drivers and chauffeurs"
c: 715 -1 "Truck drivers"
c: 726 -1 "Transport equipment operatives --allocated"
c: 740 -1 "Animal caretakers, except farm"
c: 750 -1 "Carpenters helpers"
c: 751 -1 "Construction laborers, except carpenters helpers"
c: 752 -1 "Fishermen and oystermen"
c: 753 -1 "Freight and material handlers"
c: 754 -1 "Garbage collectors"
c: 755 -1 "Gardeners and groundskeepers, except farm"
c: 760 -1 "Longshoremen and stevedores"
c: 761 -1 "Lumbermen, raftsmen, and woodchoppers"
c: 762 -1 "Stockhandlers"
c: 763 -1 "Teamsters"
c: 764 -1 "Vehicle washers and equipment cleaners"
c: 770 -1 "Warehousemen, n.e.c."
c: 780 -1 "Miscellaneous laborers"
c: 785 -1 "Laborers, n.s."
c: 796 -1 "Laborers, except farm--allocated"
c: 801 -1 "Farmers (owners and tenants)"
c: 802 -1 "Farm managers"
c: 806 -1 "Farmers and farm managers--allocated"
c: 821 -1 "Farm foremen"
c: 822 -1 "Farm laborers, wage workers"
c: 823 -1 "Farm laborers, unpaid family workers"
c: 824 -1 "Farm service laborers, self-employed"
c: 846 -1 "Farm laborers and farm foremen --allocated"
c: 901 -1 "Chambermaids and maids, except private household"
c: 902 -1 "Cleaners and charwomen"
c: 903 -1 "Janitors and sextons"
c: 910 -1 "Bartenders"
c: 911 -1 "Busboys"
c: 912 -1 "Cooks, except private household"
c: 913 -1 "Dishwashers"
c: 914 -1 "Food counter and fountain workers"
c: 915 -1 "Waiters"
c: 916 -1 "Food service workers, n.e.c., except private household"
c: 921 -1 "Dental assistants"
c: 922 -1 "Health aides, except nursing"
c: 923 -1 "Health trainees"
c: 924 -1 "Lay midwives"
c: 925 -1 "Nursing aides, orderlies, and attendants"
c: 926 -1 "Practical nurses"
c: 931 -1 "Airline stewardesses"
c: 932 -1 "Attendants, recreation and amusement"
c: 933 -1 "Attendants, personal service, n.e.c."
c: 934 -1 "Baggage porters and bellhops"
c: 935 -1 "Barbers"
c: 940 -1 "Boarding and lodging house keepers"
c: 941 -1 "Bootblacks"
c: 942 -1 "Child care workers, except private household"
c: 943 -1 "Elevator operators"
c: 944 -1 "Hairdressers and cosmetologists"
c: 945 -1 "Personal service apprentices"
c: 950 -1 "Housekeepers, except private household"
c: 952 -1 "School monitors"
c: 953 -1 "Ushers, recreation and amusement"
c: 954 -1 "Welfare service aides"
c: 960 -1 "Crossing guards and bridge tenders"
c: 961 -1 "Firemen, fire protection"
c: 962 -1 "Guards and watchmen"
c: 963 -1 "Marshals and constables"
c: 964 -1 "Policemen and detectives"
c: 965 -1 "Sheriffs and bailiffs"
c: 976 -1 "Service workers, except private household--allocated"
c: 980 -1 "Child care workers, private household"
c: 981 -1 "Cooks, private household"
c: 982 -1 "Housekeepers, private household"
c: 983 -1 "Laundresses, private household"
c: 984 -1 "Maids and servants, private household"
c: 986 -1 "Private household workers--allocated"
c: 991 -1 "Unemployed persons, last worked 1959 or earlier (civilian la"
c: 995 -1 "Occupation not reported**"
I: OCC5YR95 0 999 -1 999 836 3
t: convert_all_categories true
t: new_value_offset -1
l:  1111111111111111111111111111111111111111112222222222222222
l:  8888888899999999999999999999999999999999990000000000000000
l:  5667788900111223456777777777888888899999990000000000000000
l:  0000000000000000000000000000000000000000000000001234556677
l:  1121212021213121111123456890123456712435671245631111121212
l:  ...................x.x.x..................................
l: Occupation 5 years ago, 1950 basis
s: Occupation 5 years ago, 1950 basis
c: "..." -1 -1 "Not Available for this Year and Data Set"
c: 0 -1 "Accountants and auditors"
c: 1 -1 "Actors and actresses"
c: 2 -1 "Airplane pilots and navigators"
c: 3 -1 "Architects"
c: 4 -1 "Artists and art teachers"
c: 5 -1 "Athletes"
c: 6 -1 "Authors"
c: 7 -1 "Chemists"
c: 8 -1 "Chiropractors"
c: 9 -1 "Clergymen"
c: 10 -1 "College presidents and deans"
c: 12 -1 "Professors and instructors, agricultural sciences"
c: 13 -1 "Professors and instructors, biological sciences"
c: 14 -1 "Profs and instructors, chemistry"
c: 15 -1 "Profs and instructors, economics"
c: 16 -1 "Professors and instructors, engineering"
c: 17 -1 "Professors and instructors, geology and geophysics"
c: 18 -1 "Professors and instructors, mathematics"
c: 19 -1 "Professors and instructors, medical sciences"
c: 23 -1 "Profs and instructors, physics"
c: 24 -1 "Professors and instructors, psychology"
c: 25 -1 "Professors and instructors, statistics"
c: 26 -1 "Professors and instructors, natural science (nec)"
c: 27 -1 "Professors and instructors, social sciences (nec)"
c: 28 -1 "Professors and instructors, nonscientific subjects"
c: 29 -1 "Professors and instructors, subject not specified"
c: 31 -1 "Dancers and dancing teachers"
c: 32 -1 "Dentists"
c: 33 -1 "Designers"
c: 34 -1 "Dieticians and nutritionists"
c: 35 -1 "Draftsmen"
c: 36 -1 "Editors and reporters"
c: 41 -1 "Engineers, aeronautical"
c: 42 -1 "Engineers, chemical"
c: 43 -1 "Engineers, civil"
c: 44 -1 "Engineers, electrical"
c: 45 -1 "Engineers, industrial"
c: 46 -1 "Engineers, mechanical"
c: 47 -1 "Engineers, metallurgical, metallurgists"
c: 48 -1 "Engineers, mining"
c: 49 -1 "Engineers (nec)"
c: 51 -1 "Entertainers (nec)"
c: 52 -1 "Farm and home management advisors"
c: 53 -1 "Foresters and conservationists"
c: 54 -1 "Funeral directors and embalmers"
c: 55 -1 "Lawyers and judges"
c: 56 -1 "Librarians"
c: 57 -1 "Musicians and music teachers"
c: 58 -1 "Nurses, professional"
c: 59 -1 "Nurses, student professional"
c: 61 -1 "Agricultural scientists"
c: 62 -1 "Biological scientists"
c: 63 -1 "Geologists and geophysicists"
c: 67 -1 "Mathematicians"
c: 68 -1 "Physicists"
c: 69 -1 "Misc. natural scientists"
c: 70 -1 "Optometrists"
c: 71 -1 "Osteopaths"
c: 72 -1 "Personnel and labor relations workers"
c: 73 -1 "Pharmacists"
c: 74 -1 "Photographers"
c: 75 -1 "Physicians and surgeons"
c: 76 -1 "Radio operators"
c: 77 -1 "Recreation and group workers"
c: 78 -1 "Religious workers"
c: 79 -1 "Social and welfare workers, except group"
c: 81 -1 "Economists"
c: 82 -1 "Psychologists"
c: 83 -1 "Statisticians and actuaries"
c: 84 -1 "Misc social scientists"
c: 91 -1 "Sports instructors and officials"
c: 92 -1 "Surveyors"
c: 93 -1 "Teachers (n.e.c.)"
c: 94 -1 "Technicians, medical and dental"
c: 95 -1 "Technicians, testing"
c: 96 -1 "Technicians (nec)"
c: 97 -1 "Therapists and healers (nec)"
c: 98 -1 "Veterinarians"
c: 99 -1 "Professional, technical and kindred workers (nec)"
c: 100 -1 "Farmers (owners and tenants)"
c: 123 -1 "Farm managers"
c: 200 -1 "Buyers and dept heads, store"
c: 201 -1 "Buyers and shippers, farm products"
c: 203 -1 "Conductors, railroad"
c: 204 -1 "Credit men"
c: 205 -1 "Floormen and floor managers, store"
c: 210 -1 "Inspectors, public administration"
c: 230 -1 "Managers and superintendants, building"
c: 240 -1 "Officers, pilots, pursers and engineers, ship"
c: 250 -1 "Officials and administrators (nec), public administration"
c: 260 -1 "Officials, lodge, society, union, etc."
c: 270 -1 "Postmasters"
c: 280 -1 "Purchasing agents and buyers (nec)"
c: 290 -1 "Managers, officials, and proprietors (nec)"
c: 300 -1 "Agents (nec)"
c: 301 -1 "Attendants and assistants, library"
c: 302 -1 "Attendants, physician''s and dentist''s office"
c: 304 -1