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National Neighborhood Data Archive (NaNDA): Fast-Food Restaurants by Census Tract, United States, 2006-2015

Version
V0
Resource Type
Dataset : aggregate data
Creator
  • Clarke, Philippa (University of Michigan. Institute for Social Research)
  • Li, Mao (University of Michigan. Institute for Social Research)
  • Gomez-Lopez, Iris (University of Michigan. Institute for Social Research)
  • Finlay, Jessica (University of Michigan. Institute for Social Research)
Publication Date
2019-01-04
Funding Reference
  • United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging
    • Award Number: RF1-AG-057540-01
  • United States Department of Health and Human Services. Administration for Community Living. National Institute on Disability, Independent Living, and Rehabilitation Research
    • Award Number: 90RTHF0001
Free Keywords
restaurants; fast food industry
Description
  • Abstract

    This project is superceded by:
    Clarke, Philippa, Gomez-Lopez, Iris, Li, Mao, and Finlay, Jessica. National Neighborhood Data Archive (NaNDA): Eating and Drinking Places by Census Tract, United States, 2006-2015. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-12-05. https://doi.org/10.3886/E115404V1

    The objective of the National Neighborhood Data Archive (NaNDA) is to create measures of neighborhood context that impact clinical, social, and psychological health and healthy aging outcomes. This dataset contains measures of the number and per capita density of fast-food restaurants per United States census tract from 2006 through 2015. Fast-food restaurants are those classified as “limited-service restaurants” under the North American Industry Classification System (NAICS code 722513). According to the NAICS website, code 722513 “comprises establishments primarily engaged in providing food services (except snack and nonalcoholic beverage bars) where patrons generally order or select items and pay before eating.” Examples include pizza delivery shops, fast-food restaurants, and takeout sandwich shops.
Temporal Coverage
  • 2006-01-01 / 2015-12-31
    Time Period: Sun Jan 01 00:00:00 EST 2006--Thu Dec 31 00:00:00 EST 2015
Geographic Coverage
  • United States
Sampled Universe
Fast-food and limited-service restaurants in all census tracts in the United States, excluding US island territories.Smallest Geographic Unit: census tract
Availability
Download
Relations
  • Cites
    DOI: 10.3886/E111107V1 (Dataset)
  • Cites
    URL: https://www.census.gov/eos/www/naics/ (Text)
  • Cites
    URL: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2010.html (Dataset)
Publications
  • Clarke, Philippa, and Robert Melendez. “National Neighborhood Data Archive (NaNDA): Neighborhood Socioeconomic and Demographic Characteristics of Census Tracts, United States, 2000-2010.” ICPSR - Interuniversity Consortium for Political and Social Research, 2019. https://doi.org/10.3886/E111107V1.
    • ID: 10.3886/E111107V1 (DOI)
  • United States Census Bureau. “North American Industry Classification System,” 2017. https://www.census.gov/eos/www/naics/.
    • ID: https://www.census.gov/eos/www/naics/ (URL)
  • “National Establishment Time-Series (NETS) Database.” Walls & Associates, 2015.
  • “TIGER/Line Shapefiles.” United States Census Bureau, 2010. https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2010.html.
    • ID: https://www.census.gov/geographies/mapping-files/time-series/geo/tiger-line-file.2010.html (URL)

Update Metadata: 2019-12-06 | Issue Number: 3 | Registration Date: 2019-11-07

Clarke, Philippa; Li, Mao; Gomez-Lopez, Iris; Finlay, Jessica (2019): National Neighborhood Data Archive (NaNDA): Fast-Food Restaurants by Census Tract, United States, 2006-2015. Version: V0. ICPSR - Interuniversity Consortium for Political and Social Research. Dataset. https://doi.org/10.3886/E115323