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<h1>National Gentrification Intensity Map</h1><p>Team: <a target='_blank' href='https://www.pratt.edu/people/john-lauermann/' rel='nofollow ugc noopener noreferrer'>John Lauermann</a>, <a target='_blank' href='https://www.linkedin.com/in/yuanhao-wu-80603723a/' rel='nofollow ugc noopener noreferrer'>Yuanhao Wu</a>, <a target='_blank' href='https://www.aliceviggiani.com/' rel='nofollow ugc noopener noreferrer'>Alice Viggiani</a>, <a target='_blank' href='https://www.linkedin.com/in/annaelsafeldman/' rel='nofollow ugc noopener noreferrer'>Anna Feldman</a>, <a target='_blank' href='https://www.linkedin.com/in/ziqi-wang-0623/' rel='nofollow ugc noopener noreferrer'>Ziqi Wang</a>, <a target='_blank' href='https://www.linkedin.com/in/nathan-smash-b6b93a24a/' rel='nofollow ugc noopener noreferrer'>Nathan Smash</a></p><p>This is a national longitudinal tract database on gentrification patterns in American cities. This is a spatial data science project that seeks to map varying degrees of gentrification intensity across most US metropolitan and micropolitan communities. The map was developed by <a target='_blank' href='https://www.pratt.edu/people/john-lauermann/' rel='nofollow ugc noopener noreferrer'>John Lauermann's</a> lab group in the <a target='_blank' href='https://www.pratt.edu/information/' rel='nofollow ugc noopener noreferrer'>School of Information</a> at Pratt Institute. The work received support from the US National Science Foundation, <a target='_blank' href='https://www.nsf.gov/awardsearch/show-award?AWD_ID=2306194' rel='nofollow ugc noopener noreferrer'>award #2306194</a>.</p><p> </p><h1>Map products</h1><p>The map is available in two formats:</p><h4>Gentrification patterns on 2020 tract boundaries</h4><p>Gentrification-related data from 1990 to 2020, adjusted to 2020 census tract boundaries. This is based on Decennial Census and American Community Survey data, drawn from <a target='_blank' href='https://www.nhgis.org/' rel='nofollow ugc noopener noreferrer'>National Historical GIS</a> using the <a target='_blank' href='https://developer.ipums.org/docs/v2/get-started/' rel='nofollow ugc noopener noreferrer'>IPUMS API</a>. Crosswalks are based on the <a target='_blank' href='https://www.nhgis.org/geographic-crosswalks' rel='nofollow ugc noopener noreferrer'>NHGIS Geographic Crosswalk</a> methodology. It covers ~56,000 census tracts in ~880 core-based statistical areas, with all data crosswalked to 2020 census boundaries. We recommend using this version of the map for most applications. </p><h4>Historical data on 2010 tract boundaries</h4><p>Gentrification indicators from 1970 to 2020, adjusted to 2010 census tract boundaries. This is based on Decennial Census and American Community Survey data, drawn from <a target='_blank' href='https://www.nhgis.org/' rel='nofollow ugc noopener noreferrer'>National Historical GIS</a> using the <a target='_blank' href='https://developer.ipums.org/docs/v2/get-started/' rel='nofollow ugc noopener noreferrer'>IPUMS API</a>. Crosswalks are based on methods from both <a target='_blank' href='https://www.nhgis.org/geographic-crosswalks' rel='nofollow ugc noopener noreferrer'>NHGIS Geographic Crosswalks</a> and the <a target='_blank' href='https://s4.ad.brown.edu/projects/diversity/researcher/bridging.htm' rel='nofollow ugc noopener noreferrer'>Longitudinal Tract Data Base</a>. It covers ~49,000 census tracts in ~860 core-based statistical areas, with all data crosswalked to 2010 census boundaries. While this map may be useful for historical research, we do not recommend using it for most applications due to spatial noise introduced through the geographic crosswalking method. </p><p> </p><h1>How to replicate</h1><p>Replication data is available on <i>Harvard Dataverse</i>: <a target='_blank' href='https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/DPKO3I' rel='nofollow ugc noopener noreferrer'>https://dataverse.harvard.edu/citation?persistentId=doi:10.7910/DVN/DPKO3I</a></p><p>Replication code is available on GitHub: <a target='_blank' href='https://github.com/johnlauermann/gentrification-intensity-map' rel='nofollow ugc noopener noreferrer'>https://github.com/johnlauermann/gentrification-intensity-map</a> </p><p> </p><h1>How to cite</h1><p><span style='background-color:rgb(255,255,255); font-family:"Mona Sans VF", -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>Lauermann, John, Viggiani, Alice, Wu, Yuanhao, & Smash, Nathan (2026) National Gentrification Intensity Map: Mapping gentrification across US communities, 1970 to 2020, </span></span><i>The Professional Geographer</i><span style='background-color:rgb(255,255,255); font-family:"Mona Sans VF", -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>, </span></span><a target='_blank' href='https://doi.org/10.1080/00330124.2026.2625975' rel='nofollow ugc noopener noreferrer'><span style='background-color:rgb(255,255,255); font-family:"Mona Sans VF", -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>https://doi.org/10.1080/00330124.2026.2625975</span></span></a><span style='background-color:rgb(255,255,255); font-family:"Mona Sans VF", -apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size:16px;'><span style='display:inline !important; float:none; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'> </span></span></p>
Gentrification
Data Science
Critical GIS
Urban Analytics
National longitudinal tract database on gentrification patterns in American cities. This is a spatial data science project that seeks to map varying degrees of gentrification intensity across most US metropolitan and micropolitan communities.
John Lauermann, Yuanhao Wu, Alice Viggiani, Anna Feldman, Ziqi Wang, Nathan Smash
<p style='background-color:rgb(255, 255, 255); box-sizing:border-box; color:rgb(31, 35, 40); font-family:-apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin-bottom:16px; margin-top:0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='background-color:rgba(0, 0, 0, 0); box-sizing:border-box; color:rgb(9, 105, 218);' target='_blank' href='https://creativecommons.org/licenses/by-nc/4.0/' rel='nofollow ugc noopener noreferrer'><u><img style='border-style:none; box-sizing:content-box; max-width:100%;' src='https://camo.githubusercontent.com/a668adc80787365ae6ec3fa12856aa51bbca4c79e4efca0acce45f2fa21161bc/68747470733a2f2f696d672e736869656c64732e696f2f62616467652f4c6963656e73652d434325323042592d2d4e43253230342e302d6c69676874677265792e737667' alt='CC BY-NC 4.0' width='138' height='20' /></u></a></p><p style='background-color:rgb(255, 255, 255); box-sizing:border-box; color:rgb(31, 35, 40); font-family:-apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin-bottom:16px; margin-top:0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'>This work is licensed under a <a style='background-color:rgba(0, 0, 0, 0); box-sizing:border-box; color:rgb(9, 105, 218);' target='_blank' href='https://creativecommons.org/licenses/by-nc/4.0/' rel='nofollow ugc noopener noreferrer'><u>Creative Commons Attribution-NonCommercial 4.0 International License</u></a>.</p><p style='background-color:rgb(255, 255, 255); box-sizing:border-box; color:rgb(31, 35, 40); font-family:-apple-system, BlinkMacSystemFont, "Segoe UI", "Noto Sans", Helvetica, Arial, sans-serif, "Apple Color Emoji", "Segoe UI Emoji"; font-size:16px; font-style:normal; font-variant-caps:normal; font-variant-ligatures:normal; font-weight:400; letter-spacing:normal; margin-bottom:0px !important; margin-top:0px; text-align:start; text-decoration-color:initial; text-decoration-style:initial; text-indent:0px; text-transform:none; word-spacing:0px;'><a style='background-color:rgba(0, 0, 0, 0); box-sizing:border-box; color:rgb(9, 105, 218);' target='_blank' href='https://creativecommons.org/licenses/by-nc/4.0/' rel='nofollow ugc noopener noreferrer'><u><img style='border-style:none; box-sizing:content-box; max-width:100%;' src='https://camo.githubusercontent.com/7c5a351792d77b3e4294b5b9a41d6b01e8dd69a2a00ef0437b806dcbef151656/68747470733a2f2f6c6963656e7365627574746f6e732e6e65742f6c2f62792d6e632f342e302f38387833312e706e67' alt='CC BY-NC 4.0' width='88' height='31' /></u></a></p>
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