Gentrification 2014-2024

These are classifications of census tract gentrification based on changes in US Census Bureau American Community Survey in 2010-2014 and 2020-2024 five-year estimates data.

Minn, Michael. 2026. "Gentrificaiton 2014-2024." Revised 18 May. https://michaelminn.net/tutorials/data/2024-gentrification.html.

2020-2024 ACS Fields

US Census Bureau (USCB). 2026. "2020 - 2024 American Community Survey 5-Year Estimates." Released 29 January. https://data.census.gov.

Polygons are from the USCB TIGER/Line cartographic boundary files.

2010-2014 ACS Fields

US Census Bureau (USCB). 2015. "2010 - 2014 American Community Survey 5-Year Estimates." Released 3 December. https://data.census.gov.

County Aggregations

Data from census tracts with a population greater than 50 persons aggregated to the county level for use with gentrification calculations. Data will not match ACS county level data due to the population limit, aggregated sampling error, and MAUP.

Tract Changes

Classifications

Rural_Urban_Core

US Department of Agriculture, Economic Research Service. 2025. "2020 Rural-Urban Commuting Area Codes, census tracts." Last updated 31 July. https://www.ers.usda.gov/data-products/rural-urban-commuting-area-codes.

Gentrified_Furman

NYU Furman Center. 2016. "State of New York City’s Housing and Neighborhoods in 2015." Updated 9 May. https://furmancenter.org/research/sonychan/2015-report.

Gentrified_Freeman

Freeman, Lance. 2005. "Displacement or Succession? Residential Mobility in Gentrifying Neighborhoods." Urban Affairs Review 40(4): 463-491. https://doi.org/10.1177/1078087404273341.

Criteria:

  1. Be located in the central city at the beginning of the intercensal period (Rural_Urban_Core = Metro core
  2. Have a median income less than the median (40th percentile) for that metropolitan area at the beginning of the intercensal period (Median_Household_Income < quantile(0.4))
  3. Have a proportion of housing built within the past 20 years lower than the proportion found at the median (40th percentile) for the respective metropolitan area (Percent_2020_2024_Units + Percent_2010_2019_Units < quantile(0.4))
  4. Have a percentage increase in educational attainment greater than the median increase in educational attainment for that metropolitan area (Δ Percent_Bachelors_Degree > median(Δ Percent_Bachelors_Degree)
  5. Have an increase in real housing prices during the intercensal period (% change Median_Monthly_Rent > median(% change Median_Monthly_Rent))

Classifications:

Gentrified_Ding

Ding, Lei, Jackelyn Hwang, and Eileen Divringi. 2016. "Gentrification and Residential Mobility in Philadelphia." Regional Science and Urban Economics 61: 38-51. https://doi.org/10.1016/j.regsciurbeco.2016.09.004.

Social Status Index

Change in social status index over time is a continuous value that reflects the ambiguity in levels of gentrification in contrast to the rigid classifications above.

Yonto, Daniel, and Claire Schuch. 2020. >Developing and Ground-Truthing Multi-Scalar Approaches to Mapping Gentrification.> Papers in Applied Geography 6 (4): 352–68. https://doi.org/10.1080/23754931.2020.1789499.

R Script

The R script to create these data sets