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.
Place matters when it comes to health. Where someone is born and where they live can be the most significant factors in determining their overall level of well-being. To help users understand the health landscapes of their communities, PolicyMap has created a new Community Health report.
Opportunity Zones are a new tax incentive program that could attract billions in private capital to struggling areas. We talked to Jeremy Nowak, a prominent figure in urban policy and impact investment, about what impact the program is likely to have and what strategies might be used to maximize its effect.
Trying to show the predominant country of birth for every geography in the country seemed simple enough, until we ran into the challenge of coming up with map colors for 134 different countries.