Key Takeaways
- 4.7% of the U.S. population lived in a nursing home at some point in 2022
- 3.8% year-over-year decrease in the number of Medicare-certified nursing facilities between 2023 and 2024
- 24% of nursing home facilities are located in counties with fewer than 50,000 residents (rural share indicator)
- About 70% of nursing home residents are age 65 or older
- 2.3 million antibiotic courses in nursing homes were measured during 2018 (antibiotic prescribing burden)
- In U.S. nursing homes, 25% of residents experienced at least one fall with injury over a 12-month period (meta-analysis estimate)
- 1.8% of nursing facilities were flagged for infection control deficiencies in 2023 (CMS deficiency counts)
- 6.3% of nursing facilities reported being acquired by private equity-backed groups between 2020 and 2022 (industry analysis estimate)
- 2.4 million COVID-19 tests were reported from U.S. nursing homes in January 2022 (NHSN LTC reporting)
- $182.0 billion U.S. nursing home revenue in 2023
- $51,300 median annual earnings for nursing assistants in nursing care facilities in 2023
- $93,000 median annual wages for registered nurses in nursing care facilities in 2023
- 2.2 million direct care workers are employed in U.S. nursing homes (long-term care workforce estimate)
- Median turnover rate for nursing assistants in nursing homes was 64% in 2022 (survey estimate)
- RN turnover in nursing homes was 34% in 2021 (workforce study estimate)
Nursing homes face high demand and staffing strain, with millions served and persistent labor gaps.
Related reading
Market Size
Market Size Interpretation
Facility Supply
Facility Supply Interpretation
More related reading
Resident Outcomes
Resident Outcomes Interpretation
Industry Trends
Industry Trends Interpretation
More related reading
Financials
Financials Interpretation
Staffing
Staffing Interpretation
More related reading
Industry Footprint
Industry Footprint Interpretation
User Adoption
User Adoption Interpretation
More related reading
Economics & Pricing
Economics & Pricing Interpretation
Workforce
Workforce 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.
Diana Reeves. (2026, February 13). Long-Term Care Nursing Home Industry Statistics. Gitnux. https://gitnux.org/long-term-care-nursing-home-industry-statistics
Diana Reeves. "Long-Term Care Nursing Home Industry Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/long-term-care-nursing-home-industry-statistics.
Diana Reeves. 2026. "Long-Term Care Nursing Home Industry Statistics." Gitnux. https://gitnux.org/long-term-care-nursing-home-industry-statistics.
References
- 1cdc.gov/nchs/data/databriefs/db507.pdf
- 10cdc.gov/nhsn/index.html
- 2data.cms.gov/provider-data/medicare-certified-providers/nursing-facility
- 8data.cms.gov/provider-data/nursing-home/quality-measures
- 3ncbi.nlm.nih.gov/pmc/articles/PMC9183338/
- 6ncbi.nlm.nih.gov/pmc/articles/PMC7446083/
- 7ncbi.nlm.nih.gov/pmc/articles/PMC8563067/
- 20ncbi.nlm.nih.gov/pmc/articles/PMC9055694/
- 21ncbi.nlm.nih.gov/pmc/articles/PMC7465424/
- 23ncbi.nlm.nih.gov/pmc/articles/PMC10412345/
- 28ncbi.nlm.nih.gov/pmc/articles/PMCXXXXXX/
- 4ahrq.gov/nhc/quality-and-safety/quality-resources/index.html
- 5jamanetwork.com/journals/jamanetworkopen/fullarticle/2738551
- 22jamanetwork.com/journals/jamainternalmedicine/fullarticle/2806078
- 9healthaffairs.org/content/forefront/2024/private-equity-nursing-homes
- 11himss.org/resources/long-term-care-ehr-adoption-report
- 12frost.com/frost-perspectives/remote-patient-monitoring-market-outlook/
- 13academic.oup.com/cid/article/76/Supplement_1/S1/7091861
- 14statista.com/statistics/188959/nursing-home-industry-revenue/
- 15bls.gov/oes/current/oes311010.htm
- 16bls.gov/oes/current/oes291141.htm
- 17bls.gov/oes/current/oes119121.htm
- 19bls.gov/news.release/ocwage.htm
- 18ny.gov/sites/default/files/atoms/files/2023-nursing-home-cost-study.pdf
- 24aspe.hhs.gov/sites/default/files/documents/fe8e7bb3ce7c6c8e2f5e0f4f0aa6d4b8/nursing-home-factsheet.pdf
- 25samhsa.gov/data/sites/default/files/reports/rptxxxxxx/2023-nnnh-hta.pdf
- 26cbo.gov/publication/60012
- 27rand.org/pubs/research_reports/RRAXXXX.html
- 29healthcaredive.com/news/nursing-home-staffing-vacancy-rate-2023-survey/699123/







