Data Center Equity Atlas

Every U.S. data center, set against neighborhoods whose demographic profile resembles the highest-need areas of Los Angeles and Pittsburgh. Pick a case study to zoom in.

Concept mockup · National overview

Metros modeled

6 case studies selected

Data centers

1,160

metros plus 720 elsewhere

High-need area

9,910

square miles, 996 cells

Within 3 mi of high need

40%

174 of 440 metro facilities

SeattleBay AreaDenverSalt Lake CityLas VegasPhoenixMinneapolisHoustonAtlantaOrlando–TampaBostonPhiladelphia

National · 18 metros modeled 500 mi

Scroll to zoom · drag to pan

High-need detection

≥ 0.80

0.78–0.80

0.75–0.78

0.72–0.75

Data center

How the national layer is built

Reference neighborhoods from two cities are matched against every location in the country. Zoom into a case study to see the individual cells and the facilities around them.

4 detection classes2 reference cities

Case studies compared

Share of facilities within 3 mi of high need

Select a row to zoom to that metro.

How a metro gets scored

Digitize the top 25% Levels of Need neighborhoods in Los Angeles and Pittsburgh.
Find Similar Features compares every U.S. location to them using the ArcGIS Living Atlas geodemographic embeddings.
Locations scoring 0.72 or higher become high-need cells, grouped into four classes.