Key Takeaways
- 2024: 8.3% of adults aged 18+ in the U.S. had cardiovascular disease (CVD), and 5.6% had coronary heart disease (CHD) (data for 2024).
- 2024: 13.8% of adults aged 18+ in the U.S. had diabetes (diagnosed).
- 2024: 30.5% of U.S. adults aged 18+ had hypertension (high blood pressure).
- 2023: Net cost of prescription drugs for U.S. health spending was $424.9 billion (National Health Expenditures by service category, CMS).
- 2022: Administrative costs accounted for 8.7% of total health spending in the U.S. (OECD measurement approach summarized by common analysis).
- 2023: The U.S. had 2.6 practising physicians per 1,000 population (OECD Health Statistics, latest available).
- 2024: 36% of surveyed U.S. healthcare organizations reported implementing or piloting AI solutions (HIMSS analytics survey result).
- 2023: Cybersecurity breaches increased; healthcare was the most targeted industry at 39% of all ransomware-related incidents in a global dataset (IBM Security X-Force Threat Intelligence, industry targeting summary).
- 2023: 53% of healthcare organizations reported paying ransoms at least once (Ponemon Institute/Statista risk and ransomware reporting; cited by reputable publication).
- 2023: 65% of U.S. adults say they can access their medical records digitally (Pew Research Center, 2023 data).
- 2022: The U.S. spent $?? on digital health investments? (omit due to missing precise figure).
- 2024: The global healthcare AI market was forecast to reach $28.4 billion by 2027 (Grand View Research forecast).
- 20% of U.S. adults say they used a wearable device or health tracker to track health indicators in the past year (wearable/health tracker usage).
- 8.0% of adults in the U.S. were uninsured in 2023 (percent uninsured, U.S. adults).
- 13.3% of U.S. adults aged 18–64 reported having no usual source of care in 2022 (no usual source of care).
Nearly one third of U.S. adults have hypertension, while millions face chronic disease, mental health issues, and access gaps.
Health Burden
Health Burden Interpretation
Cost Analysis
Cost Analysis Interpretation
Service Capacity
Service Capacity Interpretation
Digital Adoption
Digital Adoption Interpretation
Industry Trends
Industry Trends Interpretation
Technology & Ai
Technology & Ai Interpretation
Access & Affordability
Access & Affordability Interpretation
Cost & Spending
Cost & Spending Interpretation
Workforce & Care Delivery
Workforce & Care Delivery 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.
Elena Vasquez. (2026, February 13). National Health Statistics. Gitnux. https://gitnux.org/national-health-statistics
Elena Vasquez. "National Health Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/national-health-statistics.
Elena Vasquez. 2026. "National Health Statistics." Gitnux. https://gitnux.org/national-health-statistics.
References
- 1cdc.gov/nchs/fastats/heart-disease.htm
- 2cdc.gov/nchs/fastats/diabetes.htm
- 3cdc.gov/nchs/fastats/hypertension.htm
- 4cdc.gov/nchs/fastats/smoking.htm
- 5cdc.gov/nchs/fastats/copd.htm
- 6cdc.gov/nchs/fastats/asthma.htm
- 7cdc.gov/nchs/fastats/cholesterol.htm
- 8cdc.gov/nchs/fastats/mental-health.htm
- 9cdc.gov/nchs/fastats/kidney-disease.htm
- 10cdc.gov/nchs/products/databriefs/db492.htm
- 11who.int/news-room/fact-sheets/detail/patient-safety
- 12samhsa.gov/data/sites/default/files/reports/rpt35301/2022-nsduh-model-estimates.html
- 13cms.gov/data-research/statistics-trends-and-reports/national-health-expenditure-data
- 14oecd.org/health/health-systems/health-spending-analytical-report.pdf
- 15stats.oecd.org/Index.aspx?DataSetCode=HEALTH_STAT
- 16himss.org/resources/2024-himss-us-hospital-indicators-2024-report
- 17ibm.com/reports/data-breach
- 18cisa.gov/news-events/news/cisa-issues-guidance-protect-against-ransomware
- 19pewresearch.org/internet/2023/03/20/digital-health-services-in-the-us/
- 20cbinsights.com/research/report/digital-health-trends
- 21grandviewresearch.com/industry-analysis/healthcare-ai-market-report
- 22reportlinker.com/p0647/remote-patient-monitoring-market.html
- 23klasresearch.com/report/ai-technology-adoption-in-healthcare
- 24ama-assn.org/practice-management/digital/ama-generative-ai-survey-findings
- 25iamagroup.com/insights/2024-digital-health-index/
- 26census.gov/library/publications/2024/demo/p60-283.html
- 27ahrq.gov/news/blog/ahrqviews/no-usual-source-of-care.html
- 30ahrq.gov/research/findings/nhqrdr/2023/chartbooks/chartbook-primary-care-access.html
- 31ahrq.gov/research/findings/nhqrdr/2023/chartbooks/chartbook-access-to-care.html
- 28jamanetwork.com/journals/jama/fullarticle/2790460
- 29jamanetwork.com/journals/jama/fullarticle/2684049
- 32oecd-ilibrary.org/social-issues-migration-health/nurses-per-1-000-population-data-2024_nurses_1-000-pop
- 33data.hrsa.gov/data/download?data=National%20Counts%20and%20Rates







