Builds a dataset that combines Point in Time counts with housing market and other economic data converted to be at the Continuum of Care (CoC) level.
The project makes extensive use of the targets R package.
To run the code, make sure you have the environmental variable CENSUS_API_KEY set to your API key for U.S. Census Bureau data. You can get a free API key here: https://api.census.gov/data/key_signup.html.
The strategy to link census tracts and counties to CoCs is based on Byrne, et al. (2016).
A data dictionary is available here.
| Data | File Location | Source |
|---|---|---|
| CoC Shapefiles | input_data/geography/input_data/coc_shapefiles |
HUD CoC GIS Geodatabases |
| Census Tract Shapefiles | tigris R package via tidycensus R package | tidycensus package, tigris package |
| American Community Survey (ACS) Tables | tidycensus R package | tidycensus package |
| Bureau of Labor Statistics - Local Area Unemployment Statistics | unemployment_url target in _targets.R |
County Level Raw Data |
| Census Tract to ZIP Code Crosswalks | input_data/geography/usps_tract_to_zip/ |
HUD-USPS ZIP Code Crosswalk Files |
| HUD Fair Market Rents (FMR) | input_data/hud_fmr/ |
HUD Fair Market Rents, County Level Data |
| HUD Point in Time (PIT) Counts | input_data/pit_counts/ |
HUD 2007-2019 PIT Counts by CoC |
| Zillow Rent Index | input_data/zillow_rent_index/ |
Zillow Observed Rent Index (Smoothed, Seasonally Adjusted): All Homes Plus Multifamily Time Series (Zip Code Geography) |
| Eviction Data | input_data/eviction_lab |
The Eviction Lab at Princeton University |