Case Study: Stanford University achieves precise rent-control and housing migration insights with Infutor

Infutor provides rich insights for Stanford University's rent control research

Stanford University researchers studying the effects of rent control in San Francisco needed accurate, historical property and household data to track migration and housing outcomes over decades. They engaged Infutor, using its Identity Graph and rich current and historical U.S. property ownership and household data to obtain address-level migration histories and linked municipal records.

Infutor’s data enabled the team to measure how many residents lived in rent‑controlled units, how long they stayed, below‑market rent savings, landlord conversions to non‑rent‑controlled housing, and changes in median rents since the 1990s; the findings were published and drew national media attention. Infutor’s data closely matched census benchmarks (R^2 ≈ 0.898), covered nearly the full San Francisco population, and provided the measurable foundation that made the study’s policy‑relevant conclusions possible.

Stanford University

Rebecca Diamond

Assistant Professor of Economics