Archive for the 'Areas (Subject)' Category

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Rural Poverty

The NYTimes Upshot reexamines the Census finding on rural median household income in Actually, Income in Rural America is Growing, Too. Recent reports from the Census showed that while income in metropolitan areas grew 6%, income in rural areas fell by 2%. However, according to statistics buried in American FactFinder, rural income grew by 3.4%.

Affordable Housing and Public Assistance

Andrew Flowers of FiveThirtyEight examines the crisis in affordable housing in Why So Many Poor Americans Don’t Get Help Paying for Housing. The problem is two-fold: affordability and the inability of government programs to keep up with need.

IRS Migration Data Report Tool

IRS map

This is a nice tool for getting net migration reports based on IRS tax return data. Note that because these data are based on tax returns, one can also tell whether, on average, a state is losing/gaining wealthier residents. One can generate reports for counties by state or for states. The former is really tedious because one has to generate the county reports one by one.

Tool Link
Counties | States

And here’s the link to raw data for those who find widgets tedious. Note that the site has nice explanations for the methodology, including changes over time in how these files are created: SOI Tax Stats – Migration Data

And, do you want to know how to make something like the map above? Here’s a link from Flowing Data on how to make a similar map based on 5-years of county-to-county IRS data:
Article | How To Guide

Asking Questions About Evictions

Andrew Flowers of FiveThirtyEight writes about the Milwaukee Area Renters Study (MARS):

The survey that Williams was part of, the Milwaukee Area Renters Study (MARS), may be the first rigorous, detailed look at eviction in a major city. Interviewers like Williams spoke to about 1,100 Milwaukee-area tenants between 2009 and 2011, asking them a battery of questions on their housing history. The survey has already fundamentally changed researchers’ understanding of eviction, revealing the problem to be far larger than previously understood.

New Census Reports on Income, Poverty and Health Insurance

The U.S. Census Bureau released two new reports: Income and Poverty in the United States: 2014 and Health Insurance Coverage in the United States: 2014. The reports find no real change in either income or poverty level, but the percentage of people without health insurance has declined.

From the press release:

The nation’s official poverty rate in 2014 was 14.8 percent, which means there were 46.7 million people in poverty. Neither the poverty rate nor the number of people in poverty were statistically different from 2013 estimates. This marks the fourth consecutive year in which the number of people in poverty was not statistically different from the previous year’s estimate.

Median household income in the United States in 2014 was $53,657, not statistically different in real terms from the 2013 median income. This is the third consecutive year that the annual change was not statistically significant, following two consecutive annual declines.

The percentage of people without health insurance coverage for the entire 2014 calendar year was 10.4 percent, down from 13.3 percent in 2013. The number of people without health insurance declined to 33.0 million from 41.8 million over the period.

The Geography of Prisons Is Changing

Prison populations from big cities have been dropping since 2006, while those from small rural counties have been rising. The New York Times Upshot examines this trend:

Just a decade ago, people in rural, suburban and urban areas were all about equally likely to go to prison. But now people in small counties are about 50 percent more likely to go to prison than people in populous counties.

The stark disparities in how counties punish crime show the limits of recent state and federal changes to reduce the number of inmates. Far from Washington and state capitals, county prosecutors and judges continue to wield great power over who goes to prison and for how long. And many of them have no interest in reducing the prison population.

Census Bureau Retires Easy Stats

As of 9/30/2016, Easy Stats will no longer be available. To access data from the American Community Survey, use American FactFinder or QuickFacts. You can provide feedback here.

According to Data Detectives, “The retirement of the application is a result of a CEDSCI data tools assessment from earlier this year. The assessment looked at consolidating data tools to eliminate redundancy and also streamline our data dissemination offerings on”

Creating Residential Histories

This is a report on the NCI/SEERS web portal on a way to create residential histories of respondents/decadents for epidemiological research. The report (below) details how three commercial vendors were able to match the residential history of a small sample of federal government employees. Also available are the algorithms and software to reconcile conflicting addresses. Interested folks might want to browse other tools/papers in the NCI Geographical Information Systems and Science for Cancer Control webiste.

NCI/SEER Residential History Project
David Stinchcomb and Allison Roeser | Westat
May 2016

SAS residential history generation programs [3 programs]
[Summary] [Link to programs]

Who Still Smokes

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.

NIA opportunities for research in health disparities and aging

The most recent post in Inside NIA underscores several ways they are working to enhance research in aging and health disparities. These include funding opportunities — Health Disparities and Alzheimer’s Disease (R01), Emerging Directions for Addressing Health Disparities in Alzheimer’s Disease (R03), and the administrative supplement program, “Aging Research to Address Health Disparities” — and a framework for future research.