Chicago supermarket data and food access analytics in census tract shapefiles for 2007–2014

Abstract

Longitudinal analysis of supermarkets over time is essential to understanding the dynamics of foodscape environments for healthy living. Supermarkets for 2007, 2011, and 2014 for the City of Chicago were curated and further validated. The average distance to all supermarkets along the street network was constructed for each resident-populated census tract. These analytic results were generated with GIS software and stored as spatially enabled data files, facilitating further research and analysis. The data presented in this article are related to the research article entitled “Urban foodscape trends: Disparities in healthy food access in Chicago, 2007–2014” (Kolak et al., 2018).

Measuring food insecurity: An introduction to tools for human biologists and ecologists

“…In one study, researchers measured the shelf space dedicated to food groups (Bodor et al, 2008). Other mapping studies have included infrastructural features of neighborhoods, such as roads, bus routes, sidewalks, and bicycle paths, and estimates of travel time to assess the impact of physical distances and locations on food access for residents (Kolak et al, 2018; Widener et al, 2011). Spatial statistical tools (Cressie, 2015) exist to help researchers account for spatial clustering and autocorrelation in quantitative analyses of food availability and access (e.g., Benez‐Secanho et al, 2021).…”

Mapping Census Tract Clusters of Type 2 Diabetes in a Primary Care Population

“…LISA significance set at P < .05. Supermarket data are from Kolak et al (1). Census tract and community area boundary data are from the Chicago Data Portal (2,3).…”