Key Takeaways
- As of 2023, there are approximately 18.0 million Veterans living in the United States, representing about 6.9% of the adult civilian population aged 18 and over
- Veterans make up 7.2% of the U.S. population in 2022, with the majority being male at 92.4%
- The median age of U.S. Veterans in 2021 was 65 years old, compared to 44 for non-Veterans
- In 2022, 37.2% of Veterans had a service-connected disability rating of 70% or higher
- 13.6% of Veterans aged 18-64 reported a service-connected disability in 2021
- VA treated 1.2 million Veterans for musculoskeletal disorders in FY2022
- PTSD prevalence among Veterans is 20% lifetime, linked to physical comorbidities
- 30% of Vietnam Veterans have PTSD in 2022 studies
- Suicide rate among Veterans is 1.5 times higher than non-Veterans, 17.6 per 100,000 in 2021
- 2021 Veteran unemployment rate was 3.1%, below national 5.3%
- Veteran labor force participation rate 62.3% in 2022, vs 61.8% civilians
- Post-9/11 Veterans unemployment at 3.1% in 2023
American Veterans are an aging and diverse group facing distinct health and housing challenges.
Demographics and Population
Demographics and Population Interpretation
Employment and Economy
Employment and Economy Interpretation
Mental Health
Mental Health Interpretation
Physical Health
Physical Health Interpretation
How We Rate Confidence
Every statistic is queried across four AI models (ChatGPT, Claude, Gemini, Perplexity). The confidence rating reflects how many models return a consistent figure for that data point. Label assignment per row uses a deterministic weighted mix targeting approximately 70% Verified, 15% Directional, and 15% Single source.
Only one AI model returns this statistic from its training data. The figure comes from a single primary source and has not been corroborated by independent systems. Use with caution; cross-reference before citing.
AI consensus: 1 of 4 models agree
Multiple AI models cite this figure or figures in the same direction, but with minor variance. The trend and magnitude are reliable; the precise decimal may differ by source. Suitable for directional analysis.
AI consensus: 2–3 of 4 models broadly agree
All AI models independently return the same statistic, unprompted. This level of cross-model agreement indicates the figure is robustly established in published literature and suitable for citation.
AI consensus: 4 of 4 models fully agree
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.
Megan Gallagher. (2026, February 13). Veterans Statistics. Gitnux. https://gitnux.org/veterans-statistics
Megan Gallagher. "Veterans Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/veterans-statistics.
Megan Gallagher. 2026. "Veterans Statistics." Gitnux. https://gitnux.org/veterans-statistics.
Sources & References
- Reference 1VAva.gov
va.gov
- Reference 2CENSUScensus.gov
census.gov
- Reference 3RURALHEALTHruralhealth.va.gov
ruralhealth.va.gov
- Reference 4HUDUSERhuduser.gov
huduser.gov
- Reference 5NLIHCnlihc.org
nlihc.org
- Reference 6CDCcdc.gov
cdc.gov
- Reference 7PUBLICHEALTHpublichealth.va.gov
publichealth.va.gov
- Reference 8RANDrand.org
rand.org
- Reference 9HSRDhsrd.research.va.gov
hsrd.research.va.gov
- Reference 10PTSDptsd.va.gov
ptsd.va.gov
- Reference 11CANCERcancer.gov
cancer.gov
- Reference 12NCBIncbi.nlm.nih.gov
ncbi.nlm.nih.gov
- Reference 13MENTALHEALTHmentalhealth.va.gov
mentalhealth.va.gov
- Reference 14BLSbls.gov
bls.gov
- Reference 15SBAsba.gov
sba.gov
- Reference 16ADVOCACYadvocacy.sba.gov
advocacy.sba.gov
- Reference 17DOLdol.gov
dol.gov
- Reference 18OPMopm.gov
opm.gov






