Key Takeaways
- Cancer is the second leading cause of death globally, causing 10 million deaths in 2020.
- In the US, 1 in 6 men and 1 in 7 women will be diagnosed with cancer in their lifetime.
- Lung cancer is the leading cause of cancer death, killing 1.8 million worldwide annually.
- Heart disease is the leading cause of death in the United States, accounting for 1 in 5 deaths.
- Approximately 697,000 people die of heart disease in the US each year.
- About 0.8% of US adults have had a heart attack.
- Diabetes affects 38.4 million people in the US (11.6% of population).
- 97.6 million US adults have prediabetes.
- Obesity affects 42.4% of US adults.
- COVID-19 caused over 7 million deaths worldwide as of 2023.
- Tuberculosis kills 1.6 million people annually.
- HIV affects 39 million people globally.
- Mental illness affects 1 in 5 US adults yearly.
- Anxiety disorders affect 19.1% of US adults.
- 50 million US adults have mental illness.
Cancer and cardiovascular disease drive massive, preventable health burdens worldwide, underscoring urgent prevention and timely care.
Related reading
Cancer
Cancer Interpretation
More related reading
Cardiovascular Diseases
Cardiovascular Diseases Interpretation
More related reading
Diabetes and Obesity
Diabetes and Obesity Interpretation
More related reading
Infectious Diseases
Infectious Diseases Interpretation
More related reading
Mental Health and Neurology
Mental Health and Neurology 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.
Ryan Townsend. (2026, February 13). Medical Statistics. Gitnux. https://gitnux.org/medical-statistics
Ryan Townsend. "Medical Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/medical-statistics.
Ryan Townsend. 2026. "Medical Statistics." Gitnux. https://gitnux.org/medical-statistics.
Sources & References
- Reference 1CDCcdc.gov
cdc.gov
- Reference 2WHOwho.int
who.int
- Reference 3HEARTheart.org
heart.org
- Reference 4MILLIONHEARTSmillionhearts.hhs.gov
millionhearts.hhs.gov
- Reference 5CANCERcancer.gov
cancer.gov
- Reference 6CANCERcancer.org
cancer.org
- Reference 7SKINCANCERskincancer.org
skincancer.org
- Reference 8PUBLICATIONSpublications.iarc.who.int
publications.iarc.who.int
- Reference 9DIABETESATLASdiabetesatlas.org
diabetesatlas.org
- Reference 10NIDDKniddk.nih.gov
niddk.nih.gov
- Reference 11UNAIDSunaids.org
unaids.org
- Reference 12NAMInami.org
nami.org
- Reference 13NIMHnimh.nih.gov
nimh.nih.gov
- Reference 14ALZalz.org
alz.org
- Reference 15PARKINSONparkinson.org
parkinson.org
- Reference 16NATIONALEATINGDISORDERSnationaleatingdisorders.org
nationaleatingdisorders.org







