Datasets on this page are licensed under a Creative Commons Attribution 4.0 International License.

The datasets on this page were produced by the GIS Lab at the Newman Library of Baruch College, CUNY using data from the US Census Bureau. The point layers were created in NAD83 (2010 and 2000) and NAD27 (historic) and are intended for use by researchers, policy makers, students, and educators for basic geographic analysis and mapping purposes. Population centroids represent the mean center of population in a given area, and are often used for calculating distances from a population's distribution to a given good or service.

US Census Population Centroids, 2010

NameFeaturesFile TypeDownloadMetadata
Centers of Population by Block Grouppointsshapefile popctr_blkgrp2010.zip XML
Centers of Population by Census Tractpointsshapefile popctr_tracts2010.zip XML
Centers of Population by Countypointsshapefile popctr_county2010.zip XML
Centers of Population by Statepointsshapefile popctr_state2010.zip XML

US Census Population Centroids, 2000

NameFeaturesFile TypeDownloadMetadata
Centers of Population by Block Grouppointsshapefile popctr_blkgrp2000.zip XML
Centers of Population by Census Tractpointsshapefile popctr_tracts2000.zip XML
Centers of Population by County, US Territoriespointsshapefile popctr_county_territories2000.zip XML
Centers of Population by Countypointsshapefile popctr_county2000.zip XML
Centers of Population by Statepointsshapefile popctr_state2000.zip XML

Historic US Census Population Centroids

NameFeaturesFile TypeDownloadMetadata
Centers of Population by State, 1950pointsshapefile popctr_state1950.zip XML
Centers of Population by State, 1960pointsshapefile popctr_state1960.zip XML
Centers of Population by State, 1970pointsshapefile popctr_state1970.zip XML


NYC Population Centroids and Hospitals

Disclaimer: Every effort was made to insure that the data, which was compiled from public sources, was processed accurately. The creator, Baruch College, and CUNY disclaim any liability for errors, inaccuracies, or omissions that may be contained therein or for any damages that may arise from the foregoing. Users should independently verify the accuracy of the data for their purposes.

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