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.
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 Census.gov.”
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. https://gis.cancer.gov/index.html
NCI/SEER Residential History Project
David Stinchcomb and Allison Roeser | Westat
SAS residential history generation programs [3 programs]
[Summary] [Link to programs]
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.