Key Takeaways
- 10.9% of U.S. residents lived at or below 200% of the federal poverty level in 2022 (a macroeconomic risk proxy often used alongside geographic access measures for food-desert analyses).
- In 2022, SNAP averaged about 41.7 million participants per month in the U.S. (a program often used in areas with low access to food).
- In FY 2023, the WIC program served 6.4 million participants per month on average (relevant to nutritional support in constrained access environments).
- In FY 2023, the National School Lunch Program served about 29.7 million students per day on average (school meals can mitigate low access outside school).
- A 2017 systematic review found 16 studies reported statistically significant improvements in diet-related outcomes after interventions that improved food access in underserved communities.
- A 2019 meta-analysis reported a statistically significant association between supermarket proximity and improved diet quality (effect direction and magnitude summarized by the authors).
- A 2014 JAMA Internal Medicine study found that patients residing in areas with fewer supermarkets had higher odds of obesity (measured via BMI-related outcomes).
- In the U.S., the average time to travel to a grocery store can exceed 20 minutes in areas with low supermarket access (measured in the cited accessibility analysis).
- A 2021 paper found that transit-dependent residents have materially different effective access: supermarket “reachability” can be significantly worse when relying on public transportation (reported accessibility metric difference).
- A 2020 report found that 45% of low-income neighborhoods had fewer chain supermarkets than higher-income neighborhoods (measured outlet counts).
- In 2023, U.S. grocery e-commerce sales were about $132 billion (a measurable market shift affecting food access channels).
- In 2021, the SNAP Online Purchasing Pilot served 15 million transactions nationwide (transaction count reported in USDA/FNS materials).
- A 2019 report by the Food Marketing Institute found that supermarkets often target store formats in high-population-density areas; the report quantifies that most locations cluster in urban/suburban markets (distribution metric reported).
- A peer-reviewed paper comparing methodologies found that different food-desert definitions can change the estimated number of affected tracts by more than 2x (reported sensitivity across definitions).
- A 2018 study found that using supermarket-based distance measures vs. availability/quality measures changes observed associations with diet by changing measured exposure (quantified difference reported).
Roughly one in ten Americans faced poverty linked food insecurity, even as programs like SNAP and school meals supported millions.
Related reading
01 · Category
Prevalence1 stats
Prevalence Interpretation
02 · Category
Program Impact7 stats
Program Impact Interpretation
03 · Category
Health Outcomes12 stats
Health Outcomes Interpretation
More related reading
04 · Category
Access & Geography4 stats
Access & Geography Interpretation
05 · Category
Market Dynamics3 stats
Market Dynamics Interpretation
06 · Category
Methodology4 stats
Methodology Interpretation
Cite This Report
This report is designed to be cited. We maintain stable URLs and versioned verification dates. Copy the format appropriate for your publication below.
James Okoro. (2026, February 13). Food Deserts Statistics. Gitnux. https://gitnux.org/food-deserts-statistics
James Okoro. "Food Deserts Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/food-deserts-statistics.
James Okoro. 2026. "Food Deserts Statistics." Gitnux. https://gitnux.org/food-deserts-statistics.
Sources & references
31 datasets cited across this report · attribution is report-level
+15 additional datasets cited (not shown individually)

