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

Principal Investigator(s):  View help for Principal Investigator(s) Philippa Clarke, University of Michigan. Institute for Social Research; Mao Li, University of Michigan. Institute for Social Research; Iris Gomez-Lopez, University of Michigan. Institute for Social Research; Jessica Finlay, University of Michigan. Institute for Social Research

Version:  View help for Version V1

Name File Type Size Last Modified
NaNDA_Fast_Food_Restaurants_by_Census_Tract_2006-2015_v1-1.pdf application/pdf 167.9 KB 11/07/2019 09:49:AM
nanda_fastfood0615_01P.dta application/x-stata 6.3 MB 11/07/2019 09:49:AM
nanda_fastfood0615_01P.sas7bdat application/x-sas-data 11.1 MB 11/07/2019 09:45:AM

Project Citation: 

Clarke, Philippa, Li, Mao, Gomez-Lopez, Iris, and Finlay, Jessica. National Neighborhood Data Archive (NaNDA): Fast-Food Restaurants by Census Tract, United States, 2006-2015. Ann Arbor, MI: Inter-university Consortium for Political and Social Research [distributor], 2019-11-07. https://doi.org/10.3886/E115323V1

Project Description

Summary:  View help for Summary This project is superceded by: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.
Funding Sources:  View help for Funding Sources United States Department of Health and Human Services. National Institutes of Health. National Institute on Aging (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 (90RTHF0001)

Scope of Project

Subject Terms:  View help for Subject Terms restaurants; fast food industry
Geographic Coverage:  View help for Geographic Coverage United States
Time Period(s):  View help for Time Period(s) 2006 – 2015
Universe:  View help for Universe Fast-food and limited-service restaurants in all census tracts in the United States, excluding US island territories.
Data Type(s):  View help for Data Type(s) aggregate data

Methodology

Data Source:  View help for Data Source Establishment data was taken from the National Establishment Time Series (NETS) database, which provides annual records of the US economy for more than 60 million private for-profit and nonprofit establishments and government agencies. NETS is produced annually by Walls and Associates using archival establishment data from Dun & Bradstreet. 

Census tracts for establishments were determined using the 2010 TIGER/Line shapefiles produced by the United States Census Bureau.

Census tract population counts were taken from Neighborhood Socieconomic and Demographic Characteristics of Census Tracts, United States, 2000-2010.
Unit(s) of Observation:  View help for Unit(s) of Observation census tract
Geographic Unit:  View help for Geographic Unit census tract

Related Publications

This study is un-published. See below for other available versions.

Published Versions

Export Metadata

Dublin Core

DDI 2.5

Report a Problem

Found a serious problem with the data, such as disclosure risk or copyrighted content? Let us know.

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.