Key Takeaways
- 4.9 billion people were estimated to be using the internet worldwide in 2021
- 10 million deaths were attributed to air pollution in 2019
- 5.0 million people died from tobacco use in 2019
- $743.6 billion global health expenditure in 2022 (World Bank, current US$)
- $1.6 trillion global healthcare spending expected by 2030 (OECD estimate)
- $7.6 billion global clinical trial imaging market size in 2022
- 68% of US clinicians reported that they used mobile health apps at least sometimes in 2023
- 3,438 digital health apps were available per million smartphone users in the US in 2022 (app store index measure)
- $4.1 trillion projected global health expenditure in 2022 (OECD, current USD)
- 1.5% of global GDP was spent on healthcare administrative costs (estimate in 2017 US context)
- $3.7 trillion US healthcare spending in 2017 (CMS National Health Expenditure Accounts)
- 47% of healthcare organizations reported ransomware as the most common type of cyber threat in 2023 (Check Point survey)
- 1 in 5 women experienced intimate partner violence in their lifetime (WHO 2013 estimate cited for global prevalence)
- 12.0 million cancer deaths were projected globally in 2020
- 1.2 billion adults worldwide had hypertension in 2019 (IHME estimate)
Global health costs are soaring while major risks like air pollution, HIV, tobacco, and hypertension persist.
Related reading
Health Outcomes
Health Outcomes Interpretation
Market Size
Market Size Interpretation
Technology Adoption
Technology Adoption Interpretation
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Cost Analysis
Cost Analysis Interpretation
Industry Trends
Industry Trends Interpretation
Disease Burden
Disease Burden Interpretation
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Treatment & Care
Treatment & Care Interpretation
Health Systems
Health Systems Interpretation
Costs & Financing
Costs & Financing 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.
Priyanka Sharma. (2026, February 13). Health Statistics. Gitnux. https://gitnux.org/health-statistics
Priyanka Sharma. "Health Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/health-statistics.
Priyanka Sharma. 2026. "Health Statistics." Gitnux. https://gitnux.org/health-statistics.
References
- 1itu.int/en/ITU-D/Statistics/Documents/facts/FactsFigures2021.pdf
- 2who.int/publications/i/item/9789240034228
- 3who.int/news-room/fact-sheets/detail/tobacco
- 5who.int/news-room/fact-sheets/detail/measles
- 6who.int/news-room/fact-sheets/detail/hiv-aids
- 26who.int/publications/i/item/9789241564625
- 33who.int/data/gho/publications/world-health-statistics
- 4thelancet.com/journals/lancet/article/PIIS0140-6736(21)01330-1/fulltext
- 7data.worldbank.org/indicator/SH.XPD.CHEX.CD
- 8oecd.org/health/health-at-a-glance-23056770.htm
- 16oecd.org/health/health-data.htm
- 21oecd.org/health/health-systems/healthcare-fraud-and-corruption.htm
- 9imarcgroup.com/clinical-trial-imaging-market
- 13imarcgroup.com/healthcare-analytics-market
- 10grandviewresearch.com/industry-analysis/hospital-beds-market
- 11grandviewresearch.com/industry-analysis/remote-patient-monitoring-market
- 12grandviewresearch.com/industry-analysis/hospital-information-systems-his-market
- 14pewresearch.org/internet/2023/09/14/health-and-medical-apps/
- 15appannie.com/en/insights/market-trends/digital-health-apps-2022/
- 17jamanetwork.com/journals/jama/fullarticle/2640610
- 34jamanetwork.com/journals/jama/fullarticle/2801280
- 18cms.gov/data-research/statistics-trends-and-reports/national-health-expenditure-data
- 19ncbi.nlm.nih.gov/pmc/articles/PMC7731436/
- 22ncbi.nlm.nih.gov/pmc/articles/PMC4370919/
- 30ncbi.nlm.nih.gov/books/NBK570274/
- 20apps.who.int/iris/bitstream/handle/10665/327235/WHO-HIS-HCF-2019.3-eng.pdf
- 23apps.who.int/iris/bitstream/handle/10665/259415/9789241565589-eng.pdf
- 24ibm.com/reports/data-breach
- 25checkpoint.com/resources/reports/2023-cyber-threat-report
- 27gco.iarc.fr/media/globocan/factsheets/populations/factsheet-globocan-2020.pdf
- 28vizhub.healthdata.org/gbd-results/
- 29cdc.gov/mmwr/volumes/71/wr/mm7109a1.htm
- 31cdc.gov/nchs/nhis/index.htm
- 32unicef.org/media/108196/file/Immunization%20Data%20Exchange%20and%20Interoperability%20Toolkit.pdf
- 35stats.oecd.org/Index.aspx?DataSetCode=SHA







