Associations between racialized economic segregation and retail food environments in the United States: an observational, cross-sectional study

Historic policies segregating US cities have shaped inequities in contemporary retail food environments (RFEs). This study investigated associations between segregation and RFEs. Using publicly available data from the American Community Survey, we calculated Index of Concentration at the Extremes (ICE) measures for racial, economic, and racialized economic segregation (i.e., ICE (Race), ICE (Income), ICE (Race + Income)) at the census tract (CT) and ZIP code tabulation area (ZCTA) levels. At the CT level, we used zero-inflated beta models with random effects to characterize associations between segregation and the modified retail food environment index (mRFEI). At the ZCTA level, we used negative binomial hurdle models with random effects to characterize associations between segregation and numbers of grocery retailers (overall, large and small), full-service restaurants, and limited-service restaurants. We observed evidence suggestive of a positive dose-response relationship between all ICE measures and the mRFEI, such that CTs with more privileged populations tended to have healthier RFEs. We found associations with ICE (Race + Income) were null for grocery retailers (overall, large and small), but a positive relationship emerged with density of full-service restaurants (i.e., more privilege, more outlets), and the most privileged areas had significantly more limited-service restaurants. Greater ICE (Race) (i.e., greater racial privilege) was associated with greater numbers of grocery retailers, full-service restaurants, and limited-service restaurants. ICE (Income) was not associated with the number of food retailers, though the least privileged quintile consistently had the most retailers. Overall, these findings highlight a potential pathway between US segregation and inequitable health outcomes via neighborhood RFEs. • Historic policies (e.g., redlining) may have shaped retail food access, which in turn may contribute to health inequities. • Index of Concentration at the Extremes (ICE) was associated with multiple measures of retail food environments. • More privileged neighborhoods had healthier modified retail food environment index (mRFEI) scores. • Racial privilege (i.e., more White residents) was associated with more grocery retailers and restaurants. • Racialized economic segregation was not associated with grocery retail access, but more privileged areas had more restaurants.

Authors

Institutions

Publication Details

Journal
Applied Geography
Published
2025-08-29
DOI
https://doi.org/10.1016/j.apgeog.2025.103748
Citations
1
Primary Topic
Consumer Retail Behavior Studies
Type
article
Field-Weighted Citation Impact
2.07

Funders

Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Associations between racialized economic segregation and retail food environments in the United States: an observational, cross-sectional study

Micah C. Jordan, Thomas Burgoine
1 citations
Applied Geography
Consumer Retail Behavior Studies
2.07
article

Associations between racialized economic segregation and retail food environments in the United States: an observational, cross-sectional study

Micah C. Jordan, Thomas Burgoine
article en
1 citations

Abstract

Historic policies segregating US cities have shaped inequities in contemporary retail food environments (RFEs). This study investigated associations between segregation and RFEs. Using publicly available data from the American Community Survey, we calculated Index of Concentration at the Extremes (ICE) measures for racial, economic, and racialized economic segregation (i.e., ICE (Race), ICE (Income), ICE (Race + Income)) at the census tract (CT) and ZIP code tabulation area (ZCTA) levels. At the CT level, we used zero-inflated beta models with random effects to characterize associations between segregation and the modified retail food environment index (mRFEI). At the ZCTA level, we used negative binomial hurdle models with random effects to characterize associations between segregation and numbers of grocery retailers (overall, large and small), full-service restaurants, and limited-service restaurants. We observed evidence suggestive of a positive dose-response relationship between all ICE measures and the mRFEI, such that CTs with more privileged populations tended to have healthier RFEs. We found associations with ICE (Race + Income) were null for grocery retailers (overall, large and small), but a positive relationship emerged with density of full-service restaurants (i.e., more privilege, more outlets), and the most privileged areas had significantly more limited-service restaurants. Greater ICE (Race) (i.e., greater racial privilege) was associated with greater numbers of grocery retailers, full-service restaurants, and limited-service restaurants. ICE (Income) was not associated with the number of food retailers, though the least privileged quintile consistently had the most retailers. Overall, these findings highlight a potential pathway between US segregation and inequitable health outcomes via neighborhood RFEs. • Historic policies (e.g., redlining) may have shaped retail food access, which in turn may contribute to health inequities. • Index of Concentration at the Extremes (ICE) was associated with multiple measures of retail food environments. • More privileged neighborhoods had healthier modified retail food environment index (mRFEI) scores. • Racial privilege (i.e., more White residents) was associated with more grocery retailers and restaurants. • Racialized economic segregation was not associated with grocery retail access, but more privileged areas had more restaurants.

Applied GeographyVol. 184
University of Cambridge (GB), MRC Epidemiology Unit (GB), Columbia University (US)
Medical Research Council
Zero hunger
Openalex Percentile: Top 10%
Consumer Retail Behavior Studies
2.07
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.