{"id":289877,"date":"2026-07-07T13:55:12","date_gmt":"2026-07-07T17:55:12","guid":{"rendered":"https:\/\/ncrc.org\/?p=289877"},"modified":"2026-07-08T11:24:35","modified_gmt":"2026-07-08T15:24:35","slug":"new-data-for-clearer-answers-tracking-gentrification-and-neighborhood-change-across-us-cities-1970s-2010s","status":"publish","type":"post","link":"https:\/\/ncrc.org\/new-data-for-clearer-answers-tracking-gentrification-and-neighborhood-change-across-us-cities-1970s-2010s\/","title":{"rendered":"New Data for Clearer Answers: Tracking Gentrification and Neighborhood Change Across US Cities (1970s – 2010s)"},"content":{"rendered":"

NCRC is pleased to announce the release of a new longitudinal dataset designed to help communities, advocates and policymakers better understand how neighborhoods have changed over time and where gentrification pressures are most evident.<\/span><\/p>\n

This dataset draws on US Census data spanning multiple decades (from the 1970s through 2010s) and covering thousands of neighborhoods tracking demographic, economic and housing trends at the neighborhood (census tract) level across metropolitan areas nationwide.<\/span><\/p>\n

Why this matters<\/b><\/h3>\n

Gentrification is one of the most debated topics in the housing and community development fields. Depending on how it’s measured, the same neighborhood can look like a success story or a displacement crisis. This dataset was built to cut through that confusion. It applies five research-tested methods for identifying gentrification so users can see how conclusions shift depending on the approach \u2014 and which methods are best supported by real-world evidence.<\/span><\/p>\n

NCRC’s own research, published in<\/span> the <\/span>Journal of Urban Affairs<\/span><\/i><\/a>, found that the methods included in this dataset were among the most accurate at tracking actual patterns of class change, racial turnover and housing market pressure. Using these methods, we estimate that roughly 60,000 Black residents left gentrifying neighborhoods in Washington, DC between 1990 and 2020 alone.<\/span><\/p>\n

This new dataset has provided researchers and advocates with a more transparent and evidence-based way to understand where and how gentrification is occurring.<\/span><\/p>\n

What\u2019s in the dataset<\/b><\/h3>\n

The dataset includes neighborhood-level indicators over time, such as:<\/span><\/p>\n