Key Takeaways
- In the U.S., 27% of adults skipped care due to cost in 2022.
- Globally, 2 billion people face catastrophic health spending >10% income in 2019.
- In EU, 11% postponed medical visit due to cost 2021.
- In the U.S., Black Americans are 1.5 times more likely to be uninsured than whites in 2022.
- Low-income U.S. households (<100% FPL) have 25.3% uninsured rate in 2022.
- Women in U.S. uninsured at 8.9% vs men 8.3% in 2022.
- In the U.S., rural areas have 20% fewer specialists per capita than urban in 2022.
- Globally, 50% of the world's population lives more than 2 hours from the nearest health facility in 2021.
- In rural U.S., 15% report difficulty finding new primary care provider vs 10% urban in 2022.
- In 2022, 8.6% of the U.S. population, or approximately 28.3 million people, remained uninsured, with rates highest among Hispanic adults at 24.1%.
- Globally, 4.5 billion people lacked full coverage of essential health services in 2019, representing 58% of the world population.
- In the EU, 6.3% of the population reported unmet medical care needs due to cost, distance, or waiting times in 2021.
- The U.S. has 2.6 physicians per 1,000 people as of 2021 WHO data.
- Globally, there are 17.2 nurses per 10,000 people on average in 2020.
- In rural U.S. areas, primary care physician ratio is 39.8 per 100,000 vs 53.3 urban in 2021.
Cost and access gaps leave billions worldwide underinsured or unable to get care.
Barriers to Access
Barriers to Access Interpretation
Demographic Disparities
Demographic Disparities Interpretation
Geographic Disparities
Geographic Disparities Interpretation
Insurance Coverage
Insurance Coverage Interpretation
Provider Availability
Provider Availability 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). Healthcare Access Statistics. Gitnux. https://gitnux.org/healthcare-access-statistics
Megan Gallagher. "Healthcare Access Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/healthcare-access-statistics.
Megan Gallagher. 2026. "Healthcare Access Statistics." Gitnux. https://gitnux.org/healthcare-access-statistics.
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