The Data Solutions Lab develops data-centric tools for housing and land use modeling, empowering policymakers, researchers, and advocates to make informed decisions regarding community housing.
Our First Tool
Housing Supply Simulator
Test how raising height limits, changing the number of units allowed, or reducing setback requirements will independently and collectively affect what types of housing gets built at the neighborhood, city, or county-wide scale.
Understand financial feasibility and overall likelihood of development across building types, zoning types, or neighborhoods within an area. Identify bottlenecks and simulate how changes to fees, timelines, and incentives could spur certain types of housing development.
Measure how policy changes could differentially affect housing production close to transit, in communities at risk of displacement, in fire risk areas or across a host of other important considerations.
Focus Communities
- Los Angeles
- San Francisco
- San Jose
- Arcata
- San Diego
- County of Sonoma
- County of Los Angeles
- San Mateo
