National Neighborhood Data Archive (NaNDA): Grocery Stores by Census Tract, United States, 2003-2017
Principal Investigator(s): View help for Principal Investigator(s) Jessica Finlay, University of Michigan. Institute for Social Research. Survey Research Center; Mao Li, University of Michigan. Institute for Social Research. Survey Research Center
Version: View help for Version V4
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application/pdf | 234 KB | 05/08/2024 06:16:AM |
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application/zip | 17.6 MB | 05/08/2024 09:45:AM |
Project Citation:
Finlay, Jessica, and Li, Mao. National Neighborhood Data Archive (NaNDA): Grocery Stores by Census Tract, United States, 2003-2017. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2024-05-08. https://doi.org/10.81037/E127430V4
Project Description
Summary:
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This dataset contains measures of the number and density of grocery stores – including supermarkets, specialty food stores, and warehouse clubs – per United States census tract from 2003 through 2017. These types of businesses represent places where neighborhood residents can obtain fresh and healthy foods.
NOTE COPY OF https://www.openicpsr.org/openicpsr/project/123001/version/V1/view
NOTE COPY OF https://www.openicpsr.org/openicpsr/project/123001/version/V1/view
Funding Sources:
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United States Department of Health and Human Services. Administration for Community Living. National Institute on Disability, Independent Living, and Rehabilitation Research (90RTHF0001);
United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (RF1-AG-057540)
Scope of Project
Subject Terms:
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third places;
grocery stores;
food industry
Geographic Coverage:
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United States
Time Period(s):
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2003 – 2017 (2003-2015, 2017)
Collection Date(s):
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2020 – 2020
Universe:
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Grocery stores in all census tracts in the United States, including Puerto Rico and the US Virgin Islands.
Data Type(s):
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aggregate data
Methodology
Unit(s) of Observation:
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year,
census tract
Geographic Unit:
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census tract
Related Publications
Published Versions
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This material is distributed exactly as it arrived from the data depositor. ICPSR has not checked or processed this material. Users should consult the investigator(s) if further information is desired.