For Researchers & Academic Partners

The largest open veteran-data layer in the country.

Wounded Warriors publishes 4 datasets under CC-BY 4.0 totaling ~265,000 records — a verified directory of 100,437 veteran resources joined with Census ACS demographics, CDC PLACES health prevalences, and ACS housing-burden data, all FIPS-tract keyed. Cite us in your paper. Query us live in your model. Partner with us on a study.

The four datasets

1. Veteran Resource Database

100,437 recordsCC-BY 4.0Updated continuously

Live-verified directory of VA hospitals, clinics, vet centers, benefits offices, mental-health, housing, employment, and VSO posts. Every record geocoded to lat/lng + FIPS state/county/tract (99.92% tract-level), URL-health-monitored (HEAD probe + Google Safe Browsing + Wayback Machine), phone-verified, and (for 501(c)(3) rows) ProPublica Form 990 cross-referenced.

2. ACS Tract-Level Veteran Demographics (2022)

84,365 tractsUS Census ACS 5-year

Census ACS 5-year (2022) demographics joined with our resource directory. Variables: total population, population 18+, veteran count, veteran share, poverty count + percentage, unemployment, median household income.

3. CDC PLACES Tract-Level Veteran Health Context (2023)

78,815 tractsCDC PLACES BRFSS

CDC PLACES 2023 BRFSS-modeled tract-level prevalences for 8 measures: depression, poor mental health (14+ days/month), no health insurance, any disability, current smoking, binge drinking, obesity, diabetes — joined with veteran density.

4. ACS Tract-Level Housing Cost Burden for Veterans (2022)

80,147 tractsHUD cost-burden thresholds

ACS 2022 housing-cost data: median gross rent, median home value, share of renter households paying 30%+/50%+ of income on rent (HUD rent-burdened / severely rent-burdened thresholds). Joined with veteran density.

Quickstart for researchers

Cite the dataset (BibTeX)

@dataset{WoundedWarriors2026_veteranresources,
  author    = {Wounded Warriors},
  title     = {{Warriors Fund Veteran Resource Database}},
  publisher = {Wounded Warriors},
  year      = {2026},
  url       = {https://warriorsfund.org/data},
  note      = {EIN 86-1336741; CC-BY 4.0; 100,437 records}
}

Need other formats? All formats (BibTeX, APA, MLA, Chicago, RIS)

Query the API (Python)

import requests

# Service-desert tracts in Texas
gaps = requests.get(
    "https://warriors-fund-api.emperormew.workers.dev/api/coverage-gaps",
    params={"state": "TX", "min_veterans": 100, "max_resources": 2}
).json()

# Joined with depression prevalence
for t in gaps["gaps"][:10]:
    health = requests.get(
        f"https://warriors-fund-api.emperormew.workers.dev/api/health-context/{t['fips_state']}/{t['fips_county']}/{t['fips_tract']}"
    ).json()
    print(t["state_abbr"], t["veteran_count"], "vets,", health.get("health_prevalences", {}).get("depression_pct"), "% depression")

Bulk download (CSV)

curl "https://warriors-fund-api.emperormew.workers.dev/api/resources/bulk?format=csv&page=1&per_page=1000" > veteran_resources.csv

Research partnerships

What we offer

  • Custom data exports (joined / filtered)
  • Pre-publication review of methodology
  • Co-authorship for substantial collaborations
  • Letter of support for IRB / grant applications
  • Anonymized intake / outcome data on case-by-case basis

What we ask

  • Cite the dataset with the BibTeX above
  • Acknowledge our org in published work
  • Send us a copy of any published work using our data (info@warriorsfund.org)
  • For collaborative work, include us in IRB / data-use agreement when relevant

Use cases we've supported

Contact

Email: data@warriorsfund.org · Phone: +1-254-322-6525

For deeper academic partnerships (data-use agreements, IRB, co-authorship), include the research question + institution + IRB approval status in your initial email.