Visualizing Gentrification in New York City
Ben Brown and Ellen Sartorelli
Tract Id:
Borough:
Neighborhood:
Metric Data:
Explore: Use the interactive choropleth map to explore census data for New York. You can click on each line graph to change the displayed metric.
Investigate: Use the mousewheel to zoom into an area of interest. Clicking a tract will add it to each line graph.
Export: Once you've found some interesting tracts, you can export them as geoJSON!
Create a set of tracts to export as a geoJSON that includes polygon information for the census tracts and all of the census data used in this visualization. Either click "Add Selected Tracts" to add the map's selected tracts to the download set or double click on a single tract to add it.
The demographic data used in these visualizations originates from the US2010 Longitudinal Tract Data Base project of the Russell Sage Foundation at Brown University. Geographic data was downloaded from New York's Department of City Planning.
Over the past couple of decades gentrification has become one of the most debated topics amongst urbanists and geographers. While some understand gentrification as the natural process of neighborhood transition and change, others view it as white-colonization of poor minority neighborhoods. This visualization serves as an exploratory tool allowing researchers, urban planners, city officials and curious townspeople to investigate gentrification in New York City. Its functionality will allow its users to explore demographic conditions that may precurse gentrification and notice any geographic trends in its expansion. This visualization serves as a research tool due to the ability of the user to download a geoJSON file of a set of tracts that they have selected. This download ability will benefit any city planner or researcher who wants to explore the phenomenon of gentrification in New York City, group census tracts by trends and patterns, and then export all of the demographic and geographic data of those tracts in order to create their own visualization or engage in further research.