2010 United States Census Tract Community Type Classification and Neighborhood Social and Economic Environment Score for 2000 and 2010, from the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network

Authors

• Leslie A. McClure, Drexel University
• Annemarie G. Hirsch, Geisinger Medical Center
• Brian S. Schwartz, Johns Hopkins University
• Lorna E. Thorpe, New York University
• Brian Elbel, New York University
• April Carson, University of Alabama at Birmingham
• D Leann Long, University of Alabama at Birmingham

Publication Date

11-5-2024

Abstract

This dataset contains two measures designed to be used in tandem to characterize United States census tracts, originally developed for use in stratified analyses of the Diabetes Location, Environmental Attributes, and Disparities (LEAD) Network. The first measure is a 2010 tract-level community type categorization based on a modification of Rural-Urban Commuting Area (RUCA) Codes that incorporates census-designated urban areas and tract land area, with five categories: higher density urban, lower density urban, suburban/small town, rural, and undesignated (McAlexander, et al., 2022). The second measure is a neighborhood social and economic environment (NSEE) score, a community-type stratified z-score sum of 6 US census-derived variables, with sums scaled between 0 and 100, computed for the year 2000 and 2010. A tract with a higher NSEE z-score sum indicates more socioeconomic disadvantage compared to a tract with a lower z-score sum. Analysts should not compare NSEE scores across LEAD community types, as values have been computed and scaled within community type.

Keywords

census data, census tract level, diabetes, epidemiology, neighborhoods, rural areas, social environment, socioeconomic status, urban areas

Repository

ICPSR

Repository Identifier

38645

Access Instructions

This data is publicly available.

Funder

United States Department of Health and Human Services. Centers for Disease Control and Prevention