This mapping project was made possible primarily due to the large swaths of aggregate census data available on Oakland, California, as well as historic redlining data that has been digitized by the University of Richmond's Mapping Inequality Project. All of this data includes Geo-IDs — locational references that can be integrated with open-source mapping tools like OpenStreetMap to attach spatial significance to statistics.
By pulling all of this GeoJSON data and feeding it into an OpenStreetMap browser integration, I was able to create a visualization of key factors such as social vulnerability, displacement risk, real estate costs, and demographics, with toggleable layers. I also added other points of interest like the campus of the University of California, Berkeley, and the two major highways that cut through Oakland's historic Black neighborhoods.
I also sourced historic data from the Bay Area Metro Census to chart the contraction of Oakland's Black population in the last 50 years. Combining this with data from the Census Bureau painted a compelling picture of the decline, and often outright erasure, of Oakland's once vigorous Black population.