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 / Leslie A. McClure, Annemarie G. Hirsch, Brian S. Schwartz, Lorna E. Thorpe, Brian Elbel, April Carson, D. Leann Long.

Format
Data file
Language
English
Εdition
2023-03-07
Published/​Created
Ann Arbor, Mich. : Inter-university Consortium for Political and Social Research [distributor], 2023.
Description
  • 1 online resource
  • Numeric

Details

Editor
Related name
Series
Restrictions note
Use of these data is restricted to Princeton University students, faculty, and staff for non-commercial statistical analysis and research purposes only.
Summary note
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, and others, 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.Cf: http://doi.org/10.3886/ICPSR38645.v1
Type of data
Numeric
Geographic coverage
United States
Methodology note
Census tracts in the contiguous United States.
Other format(s)
Also available as downloadable files.
Statement on language in description
Princeton University Library aims to describe library materials in a manner that is respectful to the individuals and communities who create, use, and are represented in the collections we manage. Read more...
Other views
Staff view