Crimson

All the time I currently have was from when I was working on this for Unfold (which was discontinued before anyone finished). That thread is visible here.

In summary, I’ve been using the data from the University of Richmond’s Mapping Inequality site to get the HOLC grades of each census tract, and then fetching present-day data using the US Census ACS API. Since ACS data is only getting changed once a year, I fetch all that data and store it server-side so the entire website can be served as a static site.

I also plan on adding aggregate and general statistics aside from the main map, such as the number of tracts in each grade for different income levels, % of green space, etc.

The most recent comment on the development from my slack thread:
I’ll add more data from the Census (sorting through ACS docs takes really long…) later, along with more visualizations so people can understand some clearer trends in the city as a whole. I should note that I’ve scaled down to just SF because I didn’t want to rate limit when I was fetching data from the census API, but I’ll add more cities slowly as time goes on. It’s also decently fast because I’m not making any API calls except for the Geoapify map in the background. The GeoJSON for the redlining and the the JSON that has all the census data is all stored, since they don’t change other than every 5 or so years. That means that the site is pretty much static, so I removed all the server-side JS. I have a python script to refresh the data or fetch any extra census data if I add more features. I also switched from the larger neighborhood regions that the original HOLC maps had to 2020 Census Tracts, since these were the regions that the Census uses, so I can get population data.