Notes from the 2018 APDU conference about advances in administrative data, the 2020 Census, and moving the BLS from the Department of Labor to Commerce.
Over 1,000 new power plants have been built in the past year. Most of them are wind and solar plants. Are these plants where the wind and sunlight are?
From 2016 to 2017, the number of people experiencing homelessness increased for the first time in seven years. We look at local as well as state and national data to look at this reversing trend.
In 2015, 68 percent of students graduating from four-year colleges had student loan debt, with an average debt of $30,100. Studies suggest 40% of borrowers may default on federal loans in 20 years. Knowing the geographic variation of this debt can help researchers and policymakers understand the extent of the issue.
Farms can’t go just anywhere; they require fertile soil and just the right conditions. Arable land is limited, especially near cities, where farms often need to compete with other development pressures. Looking at maps of prime farmland and home values illustrates where these conflicts may arise.
County and city level crime data from the FBI is an oddly complicated dataset to process. From ASCII art to a lack of identifiers, there are a number of obstacles that need to be overcome to display the data on a map.
If you have a list of addresses, it can be incredibly useful to find underlying geographic data for these addresses. This data might be neighborhood demographic or income conditions, or government eligibility indicators, like NMTC or CRA eligibility. This can be done easily in PolicyMap.
Data from the Home Mortgage Disclosure Act (HMDA) provides a deep insight into trends in lending from demographics to loan types to government insurance to down payments. Here are a few insights from looking at the latest data, from 2016.