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National Neighborhood Data Archive (NaNDA): Grocery Stores by Census Tract, United States, 2003-2017

Name: National Neighborhood Data Archive (NaNDA): Grocery Stores by Census Tract, United States, 2003-2017
Published: 2024-05-07
License: https://creativecommons.org/licenses/by/4.0

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 V3

Name	File Type	Size	Last Modified
NaNDA_Grocery_Stores_by_Census_Tract_2003-2017_v1-1.pdf	application/pdf	234 KB	05/08/2024 06:16: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/E127430V3

Project Description

Summary: 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

Funding Sources: 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: third places; grocery stores; food industry

Geographic Coverage: United States

Time Period(s): 2003 – 2017 (2003-2015, 2017)

Collection Date(s): 2020 – 2020

Universe: Grocery stores in all census tracts in the United States, including Puerto Rico and the US Virgin Islands.

Data Type(s): aggregate data

Methodology

Unit(s) of Observation: year, census tract

Geographic Unit: census tract

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