Today we’re here to share more about what datasets we already have and what we’re still working on. Neighborhoods are complicated systems of location and characteristics and cannot be easily defined or pinned to a specific street or block. To aid researchers, we provide measures at a variety of levels—usually census tract, zip code tabulation areas, or counties. We have datasets on the following characteristics:

Infrastructure

– Broadband Internet Availability, Speed, and Adoption

– Internet Access

– Street Connectivity

– Primary and Secondary Roads

– Public Transit Stops

– Traffic Volume

Education

– Neighborhood School Gap

– School District Characteristics

– School Counts

Environment

– Parks

– Land Cover

– Polluting Sites

Community

– Socioeconomic and Demographic Characteristics

– Voter Registration, Turnout, and Partisanship

– Urbanicity

– Crimes

For more details about our current datasets, visit the Data page on our website and the curated list with ICPSR.

We are currently working on updating datasets on the following characteristics:

• • Fast Food Restaurants
  • Eating and Drinking Places
  • Religious Organizations
  • Civic and Social Organizations
  • Arts, Entertainment, and Recreation Organizations
  • Retail Establishments
  • Law Enforcement Organizations
  • Personal Care Services and Laundromats
  • Social Services
  • Health Care Services
  • Grocery Stores
  • Liquor, Tobacco, and Convenience Stores
  • Dollar Stores

Some of these datasets are being curated by ICPSR staff, and others we are still cleaning up. We want to make sure we are using the best possible source data, so we are taking our time to make sure each dataset is accurate and fix minor errors before publishing them. We will post on here and our Twitter as new datasets are released. Lastly, we wanted to share two recent publications that used NaNDA datasets: -Rothwell, J., Hadden Loh, T., & Perry, A. (2022). The Devaluation of Assets in Black Neighborhoods: The Case of Commercial Property. Brookings Metro. This publication uses several NaNDA datasets to examine the relationship of commercial rents with majority-Black neighborhoods. -Auerbach, A. J., Gorodnichenko, Y., & Murphy, D. (2022). Demand Stimulus as Social Policy. National Bureau of Economic Research. This working paper uses voter registration, turnout, and partisanship datasets to study the effects of Department of Defense spending on social outcomes. We’ll be back next time to share what else we’ve been up to!