FlowingData extracts a statistics lesson on probability from a piece in FiveThirtyEight about risk assessment and criminal sentencing.
Author Archive for ljridley
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David Lapp of the blog Family Studies uses the story of Lance, age 24, to illustrate the lives of the working poor: “Lance got married before having kids, and he and his wife both work—yet they still come up short on rent.”
Despite an improved economy more young adults live with their parents: “In 2010, 69% of 18- to 34-year-olds lived independently. As of the first four months of this year, only 67% of Millennials were living independently.”
The Bureau of Labor Economics released a report on the number of “working poor” in the United States from 1986-2013.
The number of “working poor” in the United States was 10.5 million in 2013. The working poor are people who spent at least 27 weeks in the labor force during the year—either working or looking for work—but whose incomes were below the official poverty level. The working-poor rate, or the ratio of the working poor to all those in the labor force for at least 27 weeks, was 7.0 percent in 2013.
The Pew Research Center examined the racial/ethnic make up of 29 groups, including Protestant denominations, other religious groups and three religiously unaffiliated groups. The analysis included 5 racial and ethnic groups: Hispanics, non-Hispanic whites, blacks, Asians, and other/mixed-race.
More than one-quarter of the 100 largest metropolitan areas experienced white losses in both cities and suburbs. Less than half (45) of the these areas followed the traditional patterns of white city loss and suburban gain—including Midwest areas such as Columbus, Kansas City, and Minneapolis-St. Paul.
Jia Zhang of FiveThirtyEight built a Twitter bot which pulls data from the U.S. Census and creates mini-narrative. For example, “I haven’t moved recently. I work for a private company. I was widowed.”
Census data is often seen at a large scale — atlases, research studies and interactive visualizations all offer the view from 10,000 feet. But there are people inside those top-line numbers. And when you start to look at the people in the data sets, you get a glimpse of their lives. Just a few descriptors — how much they work, whom they take care of, where they were born — can give us a sense of the people around us.
Emily Badger and Christopher Ingraham of Wonkblog use data from the Annie E. Casey Foundation’s Kids Count to map the best and worst states for children on a variety of indicators, including poverty, food security, housing, family structure, education, exercise, and incarceration rates.
Thinking, Fast and Slow? Some Field Experiments to Reduce Crime and Dropout in Chicago
by Sara B. Heller, Anuj K. Shah, Jonathan Guryan, Jens Ludwig, Sendhil Mullainathan, Harold A. Pollack #21178