Racial Disparities in Food Insecurity for High- and Low-Income Households
Cordelia Kwon, Yifan Liu, Deidra C. Crews, Boeun Kim, Elizabeth A. Stuart, Laura J. Samuel

TL;DR
This study explores how race and income intersect to affect food insecurity rates and the impact of a nutrition assistance program.
Contribution
The study introduces an intersectional analysis of race and income to understand disparities in food insecurity.
Findings
Race and low-income status intersect to influence higher food insecurity rates.
The Supplemental Nutrition Assistance Program's role varies by race and income level.
Abstract
This cross-sectional study examines if intersectionality based on race and low-income status is related to food insecurity rates and the role that the Supplemental Nutrition Assistance Program plays.
Genes, proteins, chemicals, diseases, species, mutations and cell lines named across the full text — each resolved to its canonical identifier and authoritative record.
| Year | χ2 (95% CI) | |||||||||
|---|---|---|---|---|---|---|---|---|---|---|
| Income >185% poverty level | Income <185% poverty level | |||||||||
| Asian or Pacific Islander alone | Black alone | Multiracial | Native American alone | White alone | Asian or Pacific Islander alone | Black alone | Multiracial | Native American alone | White alone | |
| 2000 | 0.03 (0.02-0.05) | 0.09 (0.08-0.11) | 0.06 (0.04-0.08) | 0.11 (0.05-0.17) | 0.04 (0.04-0.04) | 0.18 (0.14-0.22) | 0.34 (0.31-0.36) | 0.35 (0.29-0.41) | 0.29 (0.21-0.37) | 0.22 (0.21-0.23) |
| 2005 | 0.03 (0.02-0.04) | 0.13 (0.12-0.15) | 0.06 (0.05-0.08) | 0.10 (0.04-0.16) | 0.05 (0.04-0.05) | 0.14 (0.09-0.18) | 0.35 (0.33-0.38) | 0.37 (0.33-0.41) | 0.35 (0.26-0.44) | 0.24 (0.23-0.25) |
| 2010 | 0.04 (0.03-0.06) | 0.14 (0.12-0.16) | 0.09 (0.07-0.11) | 0.16 (0.07-0.25) | 0.06 (0.06-0.07) | 0.20 (0.16-0.24) | 0.40 (0.37-0.42) | 0.42 (0.37-0.46) | 0.34 (0.25-0.43) | 0.28 (0.28-0.29) |
| 2015 | 0.02 (0.01-0.03) | 0.12 (0.10-0.13) | 0.08 (0.06-0.09) | 0.16 (0.08-0.24) | 0.05 (0.05-0.06) | 0.16 (0.12-0.21) | 0.36 (0.34-0.39) | 0.35 (0.31-0.39) | 0.37 (0.29-0.45) | 0.28 (0.27-0.29) |
| 2020 | 0.03 (0.02-0.04) | 0.14 (0.12-0.16) | 0.08 (0.07-0.10) | 0.16 (0.09-0.23) | 0.04 (0.04-0.05) | 0.15 (0.11-0.20) | 0.34 (0.31-0.37) | 0.31 (0.26-0.35) | 0.29 (0.18-0.39) | 0.24 (0.22-0.25) |
| 2023 | 0.05 (0.03-0.06) | 0.17 (0.14-0.19) | 0.11 (0.09-0.13) | 0.17 (0.09-0.26) | 0.06 (0.06-0.07) | 0.18 (0.13-0.22) | 0.38 (0.35-0.41) | 0.37 (0.32-0.42) | 0.41 (0.30-0.52) | 0.26 (0.25-0.28) |
| Year | RR | |||||||||||
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Black alone | Multiracial | Native American alone | White alone | |||||||||
| Not SNAP | SNAP | Interaction | Not SNAP | SNAP | Interaction | Not SNAP | SNAP | Interaction | Not SNAP | SNAP | Interaction | |
| 2000 | 1.65 | 1.59 | 0.96 | 1.45 | 2.17 | 1.49 | 1.55 | 1.13 | 0.73 | 1.07 | 1.60 | 1.49 |
| 2005 | 2.24 | 1.85 | 0.83 | 2.31 | 2.16 | 0.93 | 2.31 | 1.78 | 0.77 | 1.55 | 1.74 | 1.12 |
| 2010 | 1.69 | 1.73 | 1.02 | 1.77 | 1.89 | 1.07 | 1.27 | 1.69 | 1.33 | 1.22 | 1.59 | 1.31 |
| 2015 | 2.30 | 1.31 | 0.57 | 1.88 | 1.50 | 0.80 | 2.41 | 1.39 | 0.58 | 1.66 | 1.41 | 0.85 |
| 2020 | 1.81 | 2.54 | 1.40 | 1.54 | 2.39 | 1.55 | 1.64 | 2.17 | 1.32 | 1.10 | 2.58 | 2.34 |
| 2023 | 1.93 | 1.89 | 0.98 | 1.63 | 2.10 | 1.29 | 1.54 | 2.44 | 1.59 | 1.29 | 1.76 | 1.37 |
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Taxonomy
TopicsFood Security and Health in Diverse Populations · Organic Food and Agriculture · Food Safety and Hygiene
Introduction
Disparities in food insecurity based on race and income are well documented,^1^ as are the mitigating effects of the Supplemental Nutrition Assistance Program (SNAP)—a federal food aid program—on food insecurity.^2^ However, less evidence demonstrates if disparities in income explain racial differences in food insecurity or if other factors, such as structural racism, lead to disparities in racial groups at all income levels. In this study, we examine if intersectionality based on race and low-income status^3^ is related to food insecurity rates across 23 years and examine the role of SNAP.
Methods
Data Source
The Current Population Survey (CPS) annually recruits a nationally representative sample of community-dwelling individuals in the US aged 16 years and older through multistage probability-based sampling. We included CPS Food Security Supplement respondent households from 2000 through 2023 who had food insecurity measured using the validated 18-item US Department of Agriculture (USDA) food security module (n = 998 338); households endorsing 3 or more food-insecure conditions were classified as food insecure.^4^ Low-income status was defined as having a household income lower than 185% of the poverty threshold. Information about receiving SNAP benefits during the past 12 months was obtained. The household racial composition was classified as entirely entirely Asian or Pacific Islander, entirely Black, entirely Native American, White, or multiracial households.
Statistical Analyses
This study was determined exempt from institutional review board review and written informed consent due to the use of publicly available, deidentified data. the study followed the Strengthening the Reporting of Observational Studies in Epidemiology (STROBE) reporting guidelines.
We estimated the national prevalence rates of food insecurity with 95% CIs for household food insecurity within subgroups based on race and income status. Group differences in proportions were compared using χ^2^ tests. Risk ratios among low-income households based on race and SNAP participation were estimated using a log-binomial regression. Asian or Pacific Islander were selected as the reference group. Household sampling weights were applied to all analyses to account for the complex survey design and nonresponse. Analyses were conducted using R statistical software (version 4.4.1; R Foundation). Analysis was conducted in 2025.
Results
Food Insecurity by Race and Income
Between 2000 and 2023, racial disparities in food insecurity persisted among both higher- and low-income households, with persistently higher rates for households that were entirely Black, Native American, or multiracial (Table 1). In addition, low-income households faced higher prevalence of food insecurity than higher-income households throughout the entire study period. For example, in 2023, 4.7% (95% CI, 3.1%-6.3%) of Asian and Pacific Islander higher-income households experienced food insecurity, compared with up to 16.6% (95% CI, 14.3%-18.8%) of Black high-income households (χ^2^ = 53.95, P < .001), 17.6% (95% CI, 13.0%-22.1%) of Asian and Pacific Islander low-income households, and 38.2% (95% CI, 35.0%-41.4%) of Black, low-income households (χ^2^ = 39.31, P < .001).
Food Insecurity by Race and SNAP Participation
Among low-income households, SNAP participants showed a less persistent pattern of racial disparities than nonparticipants (Table 2). In many years, the risk ratios comparing Asian or Pacific Islander with Black households were smaller among SNAP participants than non-SNAP participants, although not statistically significant.
Discussion
This cross-sectional study builds on prior evidence by documenting intersectional disparities persistent over 23 years despite multiple intervening policy and macroeconomic changes. As in a prior cross-sectional study,^5^ racial disparities were smaller among SNAP-participating households than nonparticipating households.
Further research is needed, particularly among Native American individuals, who consistently experienced high rates of food insecurity but have limited data, and multiracial households who represent a highly heterogenous group.
Nonetheless, these findings have important implications. Although the CPS Food Security Supplement survey was cancelled, these findings highlight the importance of national data to document disparities in food insecurity across US subgroups. Study findings that racial disparities existed among both higher- and low-income households indicate that income inequity is not the only mechanism through which racism impacts food insecurity. Cash and in-kind policies should consider differential impacts on racialized groups and address underlying discrimination.
The reference list from the paper itself. Each links out to its DOI / PubMed record.
- 1Rabbitt MP, Reed-Jones M, Hales LJ, Burke MP. United States. Department of Agriculture. Economic Research Service. Household Food Security in the United States in 2023. Economic Research Service, U.S. Department of Agriculture. 2024. Accessed May 9, 2025.
- 2Ratcliffe C, Mc Kernan SM, Zhang S. How much does the Supplemental Nutrition Assistance Program reduce food insecurity? Am J Agric Econ. 2011;93(4):1082-1098. doi:10.1093/ajae/aar 026 25197100 PMC 4154696 · doi ↗ · pubmed ↗
- 3Crenshaw K. Demarginalizing the intersection of race and sex: a Black feminist critique of antidiscrimination doctrine, feminist theory and antiracist politics. University of Chicago Leg Forum. 1989;140:139-167.
- 4Guide to Measuring Household Food Security (Revised 2000). Food and Nutrition Service. Accessed May 9, 2025. https://www.fns.usda.gov/research/guide-measuring-household-food-security-revised-2000
- 5Samuel LJ, Crews DC, Swenor BK, . Supplemental Nutrition Assistance Program access and racial disparities in food insecurity. JAMA Netw Open. 2023;6(6):e 2320196. doi:10.1001/jamanetworkopen.2023.20196 37358853 PMC 10293911 · doi ↗ · pubmed ↗
