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Socioeconomic, demographic and geographic disparities in accessibility to food pantries in the united States
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  • Published: 26 January 2026

Socioeconomic, demographic and geographic disparities in accessibility to food pantries in the united States

  • Yifan Zhang1 na1,
  • Minhwa Lee1 na1,
  • Jason B. Gibbons2,
  • Huan-Yuan Chen3,
  • Yan Wang4,
  • Zonghai Yao3,
  • Olivia Bennett5,
  • Feiyun Ouyang1,
  • David Levy6,
  • Katherine L. Tucker7 &
  • …
  • Hong Yu1,3,6,8 

Scientific Reports , Article number:  (2026) Cite this article

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We are providing an unedited version of this manuscript to give early access to its findings. Before final publication, the manuscript will undergo further editing. Please note there may be errors present which affect the content, and all legal disclaimers apply.

Subjects

  • Public health
  • Risk factors

Abstract

Improving access to food pantries (FPs) may help address food insecurity, yet national-level assessments of geographic and socioeconomic disparities remain limited. We created a dataset of 34,475 FPs across all 50 states and the District of Columbia and analyzed their accessibility to the nearest Census block group (BG). We defined accessibility as high, medium, or low based on travel time or distance. Analyses of 239,780 BGs showed that 23.4% had low FP access. We identified geographic disparities across regions and states. For example, states in the Northeast generally have higher FP accessibility, while those in the South show lower access. Although rural BGs are more socioeconomically disadvantaged than urban ones (mean ADI: 71.3 vs. 45.8), they generally have better FP access (only 8.5% with low access vs. 26.5% in urban areas). However, some rural BGs with low FP accessibility tend to have high ADI values. In urban areas, FP placement shows relatively good alignment withneighborhood needs based on analyses of socioeconomic characteristics. In contrast, rural access patterns are more mixed. For example, less-educated rural populations face greater barriers. Findings from this study can inform policy and implementation strategies to improve FP access in underserved communities.

Data availability

The datasets used and/or analyzed during the current study are available from the corresponding author on reasonable request. In addition, the datasets generated and/or analyzed during the current study will be made publicly available at https://osf.io/px9t8/ upon acceptance of this manuscript for publication.

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Acknowledgements

We thank Dr. Richeek Pradhan for reviewing the manuscript and providing valuable feedback. Research reported in this study was in part supported by the National Institutes of Health (NIH) under award number R01DA056470-A1 and 1R01AG080670-01, and by the U.S. Department of Veterans Affairs (VA) Health Systems Research under grant number 1I01HX003711-01A1. The content is solely the responsibility of the authors and does not necessarily represent NIH, VA, or the US government.

Funding

Research reported in this study was in part supported by the National Institutes of Health (NIH) under award number R01DA056470-A1 and 1R01AG080670-01, and by the U.S. Department of Veterans Affairs (VA) Health Systems Research under grant number 1I01HX003711-01A1.

Author information

Author notes
  1. Yifan Zhang and Minhwa Lee contributed equally to this work.

Authors and Affiliations

  1. Miner School of Computer & Information Science, University of Massachusetts Lowell, Lowell, MA, USA

    Yifan Zhang, Minhwa Lee, Feiyun Ouyang & Hong Yu

  2. Division of Pharmacoepidemiology and Pharmacoeconomics, Brigham and Women’s Hospital, Harvard Medical School, Boston, MA, USA

    Jason B. Gibbons

  3. Robert and Donna Manning College of Information and Computer Sciences, University of Massachusetts Amherst, Amherst, MA, USA

    Huan-Yuan Chen, Zonghai Yao & Hong Yu

  4. Department of Psychology, University of Massachusetts Lowell, Lowell, MA, USA

    Yan Wang

  5. Department of Economics, Brandeis University, Waltham, MA, USA

    Olivia Bennett

  6. Center of Biomedical and Health Research in Data Sciences, University of Massachusetts Lowell, Lowell, MA, USA

    David Levy & Hong Yu

  7. Department of Biomedical & Nutritional Sciences and Center for Population Health, University of Massachusetts Lowell, Lowell, MA, USA

    Katherine L. Tucker

  8. Center for Healthcare Organization and Implementation Research, VA Bedford Health Care System, Bedford, MA, USA

    Hong Yu

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Contributions

H.Y. initiated and directed the project. Y.Z. and M.L. implemented the methods, performed data analyses and co-wrote the manuscript. H.C. created the food pantry dataset. O.B. contributed to data validation. J.B.G, Y.W., Z.Y., F.O., D.L., and K.L.T discussed the results and commented on the manuscript. Y.Z. and M.L. contributed equally to this work. M.L. conducted this study during studies at the University of Massachusetts Amherst.

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Correspondence to Hong Yu.

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Zhang, Y., Lee, M., Gibbons, J.B. et al. Socioeconomic, demographic and geographic disparities in accessibility to food pantries in the united States. Sci Rep (2026). https://doi.org/10.1038/s41598-026-35784-z

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  • Received: 31 July 2024

  • Accepted: 08 January 2026

  • Published: 26 January 2026

  • DOI: https://doi.org/10.1038/s41598-026-35784-z

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