Flowing Data has a new data visualization of smokers in 1994 and 2014 by gender, education, income, and race & origin.
Two decades out from the 1995 law in California, along with the known impact of smoking on one’s health, you’d think smoking rates would be way down. And you’d be right for many demographic groups, but for some, smoking is still the same as it ever was.
[The charts] show estimated percentage of adult smokers among different groups, for 1994 and 2014. Estimates are based on survey data from the Behavioral Risk Factor Surveillance System.
Nathan Yau of Flowing Data has 5 tips for for learning to code for visualization: “being able to code your own visualization carries its own benefits like flexibility, speed, and complete customization.”
Since 2014, The ACA Implementation Network (of the Rockefeller Institute of SUNY, the Brookings Institution and the Fels Institute of Government of the University of Pennsylvania) has been producing state-wide reports to try to answer the following questions:
- Who governs state health reform initiatives and activities?
- What new federal-state and inter-agency relationships have developed under the ACA?
- And how have states put the principal coverage-related policies into operation, and with what effects?
The state reports are available by clicking on the map at the Network’s website. There are also two region-wide reports: the Western Overview Report and the Southern Overview Report.
H/T Data Detectives
This animated map shows immigration to the United States by year and country of origin:
From 1820 to 2013, 79 million people obtained lawful permanent resident status in the United States. The interactive map below visualizes all of them based on their prior country of residence. The brightness of a country corresponds to its total migration to the U.S. at the given time.
Stata is holding three 2-day sessions for new users. Sessions are $950 with a 15% discount for group enrollments of three or more.
Become intimately familiar with all three components of Stata: data management, analysis, and graphics. This two-day course is aimed at both new Stata users and those who wish to learn techniques for efficient day-to-day use of Stata. Upon completion of the course, you will be able to use Stata efficiently for basic analyses and graphics. You will be able to do this in a reproducible manner, making collaborative changes and follow-up analyses much simpler. Finally, you will be able to make your datasets self-explanatory to your co-workers and yourself when using them in the future.
The May 24-25 and June 20-21 are in Washington, DC and the October 24-25 session is in Las Vegas.
Go to this site for more training courses.
Emily Badger of Wonkblog looks what happens when a neighborhood — Bedford-Stuyvesant in Brooklyn, specifically — experiences a sharp increase in home values, but income remains the same.
Jed Kolko looked the demographics of each U.S. metropolitan area and measured how demographically similar they are to the U.S. as a whole, based on age, educational attainment, and race and ethnicity: “But that sense that the normal America is out there somewhere in a hamlet where they can’t pronounce “Acela” is misplaced. In fact, it’s not in a small town at all.”
Philip Cohen of the Family Inequality blog highlights a new Pew Research Center report on the share of U.S. women aged 65 and older living alone. The main finding of the report is that the number of women in this age group living alone has been trending downward since 1990. Pew attributes this to longer life expectancy for men, but Cohen thinks something more may be going on:
The tricky thing about this is the changing age distribution of the old population (the Pew report breaks the group down into 65-84 versus 85+, but doesn’t dwell on the changing relative size of those two groups).
A new report from the Bureau of Labor Statistics us a picture of minimum wage workers in 2015. Some highlights (from the report website):
Age. Minimum wage workers tend to be young. Although workers under age 25 represented only about one-fifth of hourly paid workers, they made up about half of those paid the federal minimum wage or less. Among employed teenagers (ages 16 to 19) paid by the hour, about 11 percent earned the minimum wage or less, compared with about 2 percent of workers age 25 and older. (See table 1 and table 7.)
Gender. Among workers who were paid hourly rates in 2015, about 4 percent of women and about 3 percent of men had wages at or below the prevailing federal minimum. (See table 1.)
Full- and part-time status. About 7 percent of part-time workers (those who usually work fewer than 35 hours per week) were paid at or below the federal minimum wage, compared with about 2 percent of full-time workers. (See table 1 and table 9.)
State of residence. The states with the highest percentages of hourly paid workers earning at or below the federal minimum wage were in the South: Alabama, Louisiana, Mississippi, and Virginia (all were about 6 percent). The states with the lowest percentages of hourly paid workers earning at or below the federal minimum wage were in the West: Alaska, California, Oregon, and Washington (all were about 1 percent). It should be noted that some states have laws establishing higher minimum wage rates than the federal minimum wage. (See table 2 and table 3.)
H/T Data Detectives