National Getis-Ord Gi*statistics datasets for select populations, 2019-2023 American community survey 5-year estimates

Racial or ethnic residential segregation is the physical separation of individuals into different neighborhoods by race or ethnicity. This selective sorting process has a large impact on the social, economic, political, and health outcomes of populations, with more marginalized populations having worse outcomes. Segregation measures seek to quantify this process and characterize how different population groups are spread across geographical areas. Residential segregation has traditionally been measured at the metropolitan or county level, but a growing number of population health studies have quantified it at the neighborhood or "local" level. Many such studies have used racial or ethnic composition as a proxy for local residential segregation. However, racial or ethnic composition does not take into account the larger context surrounding the neighborhood individuals live in The G<sub>i</sub>*statistic is the most commonly used spatial local segregation measure in the literature. However, it is hard and time consuming to compute, potentially discouraging researchers from its use. Thus, we provide G<sub>i</sub>*statistics for the entire US for 2019-2023 American Community Survey 5-year estimates, for numerous population groups. We also provide R code that can be used to calculate the G<sub>i</sub>*statistic for years before 2023.

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Publication Details

Journal
Data in Brief
Published
2026-02-06
DOI
https://doi.org/10.1016/j.dib.2026.112550
Primary Topic
Health disparities and outcomes
Type
article
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article

National Getis-Ord Gi*statistics datasets for select populations, 2019-2023 American community survey 5-year estimates

Shaina J. Alexandria, Cyanna McGowan
Data in Brief
Health disparities and outcomes
article

National Getis-Ord Gi*statistics datasets for select populations, 2019-2023 American community survey 5-year estimates

Shaina J. Alexandria, Cyanna McGowan
article en

Abstract

Racial or ethnic residential segregation is the physical separation of individuals into different neighborhoods by race or ethnicity. This selective sorting process has a large impact on the social, economic, political, and health outcomes of populations, with more marginalized populations having worse outcomes. Segregation measures seek to quantify this process and characterize how different population groups are spread across geographical areas. Residential segregation has traditionally been measured at the metropolitan or county level, but a growing number of population health studies have quantified it at the neighborhood or "local" level. Many such studies have used racial or ethnic composition as a proxy for local residential segregation. However, racial or ethnic composition does not take into account the larger context surrounding the neighborhood individuals live in The G<sub>i</sub>*statistic is the most commonly used spatial local segregation measure in the literature. However, it is hard and time consuming to compute, potentially discouraging researchers from its use. Thus, we provide G<sub>i</sub>*statistics for the entire US for 2019-2023 American Community Survey 5-year estimates, for numerous population groups. We also provide R code that can be used to calculate the G<sub>i</sub>*statistic for years before 2023.

Data in BriefVol. 65
Northwestern University (US)
Reduced inequalities
Openalex Percentile: Top 73%
Health disparities and outcomes
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National Getis-Ord Gi*statistics datasets for select populations, 2019-2023 American community survey 5-year estimates — Shaina J. Alexandria, Cyanna McGowan · Data in Brief (2026) | TGRS Research Map | TGRS