Key Takeaways
- 1.3 million people resided in U.S. nursing homes (age 65+ population in nursing homes)
- 15,000+ nursing home facilities were certified to participate in Medicare or Medicaid in 2023
- 4,000+ nursing homes were flagged with at least one “deficiency” in 2023 based on survey findings in CMS data
- $1.9 trillion total U.S. spending on long-term care in 2022 (includes nursing home and other long-term services and supports)
- $100 million median jury award range reported in nursing home negligence cases in a leading legal analytics compilation (nationally reported verdict dataset)
- Hospitalizations: peer-reviewed research found nursing home residents with higher deficiencies were at increased risk of hospitalization; one study reported hazard ratios around 1.2–1.4 for high-deficiency facilities
- 5-star nursing homes were associated with lower risk; one study reported mortality hazard ratio ~0.8 for 5-star vs 1-star facilities (peer-reviewed)
- 15.0% higher odds of hospitalizations were found for residents in nursing homes with staffing below thresholds in a peer-reviewed study (2015–2019 cohort)
- ~20% of U.S. nursing home residents experienced falls annually in a national survey estimate used by public health researchers
- 1 in 4 nursing home residents has a pressure ulcer at some point in a year (systematic review estimate)
- 33% of nursing homes reported using agency staff at least weekly in a national survey of infection control and staffing practices (survey-based)
- 2017–2021: median turnover among nursing assistants in nursing homes was reported as ~60% annually in a workforce study
- Registered nurse turnover rate exceeded 40% annually in a long-term care workforce study (peer-reviewed)
- 2016–2019: average annual number of CMS complaint investigations per nursing home was 0.3 in the CMS complaint investigation dataset analysis (public dataset analysis)
- Denial of payment: CMS can deny payment for new admissions (DPNA); in 2023, DPNA actions were taken against nursing facilities for serious noncompliance (count in CMS enforcement dataset)
Rising staffing and care deficiencies drive costly nursing home negligence claims, with millions of residents affected nationwide.
Population Counts
Population Counts Interpretation
Cost Analysis
Cost Analysis Interpretation
Legal Outcomes
Legal Outcomes Interpretation
Clinical & Risk Indicators
Clinical & Risk Indicators Interpretation
Staffing & Workflows
Staffing & Workflows Interpretation
Enforcement & Compliance
Enforcement & Compliance Interpretation
Regulatory Enforcement
Regulatory Enforcement Interpretation
Claims And Litigation
Claims And Litigation Interpretation
Cost And Risk
Cost And Risk Interpretation
Patient Impact
Patient Impact Interpretation
Staffing And Operations
Staffing And Operations 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.
Kevin O'Brien. (2026, February 13). Nursing Home Lawsuit Statistics. Gitnux. https://gitnux.org/nursing-home-lawsuit-statistics
Kevin O'Brien. "Nursing Home Lawsuit Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/nursing-home-lawsuit-statistics.
Kevin O'Brien. 2026. "Nursing Home Lawsuit Statistics." Gitnux. https://gitnux.org/nursing-home-lawsuit-statistics.
References
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- 2data.cms.gov/provider-data/dataset/nursing-home-facilities-certified-to-participate-in-medicare-and-medicaid
- 3data.cms.gov/provider-data/dataset/nursing-home-quality-measures
- 15data.cms.gov/provider-data/dataset/nursing-home-quality-measures-nhqm
- 23data.cms.gov/provider-data/dataset/nursing-home-complaint-data
- 24data.cms.gov/provider-data/dataset/denial-of-payment-for-new-admissions-nursing-home
- 4ahrq.gov/nursing-home-care/about.html
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