Key Takeaways
- 1.16 billion adults worldwide have diabetes (diabetes prevalence in 2021)
- 4.5% of global deaths are attributed to ambient air pollution (WHO)
- 5.1% of global deaths are attributed to household air pollution (WHO)
- 700+ million people worldwide lack access to electricity (global figure for 2022)
- 2,600 terawatt-hours global electricity generation in 2022 (IEA estimate)
- $5.1 trillion global health expenditure in 2022 (current health expenditure worldwide)
- ~$100 trillion global GDP in 2023 (World Bank estimate, current US$)
- $3.4 trillion worldwide foreign direct investment flows in 2022 (global FDI inflows)
- 55% of the global population lives in urban areas as of 2022 (share urban, UN DESA)
- 2.37 billion people were in the middle class worldwide in 2020 (OECD/World Bank-consistent estimate)
- 66.0% of the world’s population uses the internet (2024 estimate, ITU)
- 3.3 billion unique mobile subscribers worldwide as of 2022 (GSMA)
- $1.57 trillion global ICT services market size in 2023 (market value)
- $610 billion global software market revenue in 2023 (Gartner estimate)
- 61.3% of the world’s population uses social media (2024, DataReportal)
With diabetes and air pollution rising alongside unequal electricity access, global health spending climbs yet progress remains uneven.
Related reading
Health & Lifestyle
Health & Lifestyle Interpretation
Energy & Utilities
Energy & Utilities Interpretation
More related reading
Economy & Finance
Economy & Finance Interpretation
Demographics
Demographics Interpretation
Digital & Connectivity
Digital & Connectivity Interpretation
More related reading
Technology & Media
Technology & Media Interpretation
Trade & Supply
Trade & Supply Interpretation
More related reading
Climate & Environment
Climate & Environment Interpretation
Labor & Employment
Labor & Employment Interpretation
Emissions & Climate
Emissions & Climate Interpretation
More related reading
Demographics & Society
Demographics & Society Interpretation
Health & Infrastructure
Health & Infrastructure 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.
Daniel Varga. (2026, February 13). World Statistics. Gitnux. https://gitnux.org/world-statistics
Daniel Varga. "World Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/world-statistics.
Daniel Varga. 2026. "World Statistics." Gitnux. https://gitnux.org/world-statistics.
References
- 1diabetesatlas.org/atlas/
- 2who.int/news-room/fact-sheets/detail/ambient-(outdoor)-air-quality-and-health
- 3who.int/news-room/fact-sheets/detail/household-air-pollution-and-health
- 4iea.org/reports/world-energy-outlook-2023/executive-summary
- 5iea.org/reports/electricity-market-report-2023/electricity-market-overview
- 25iea.org/reports/renewables-2024/executive-summary
- 30iea.org/reports/co2-emissions-in-2023
- 6apps.who.int/gho/data/node.main.HHEDH49?lang=en
- 7data.worldbank.org/indicator/NY.GDP.MKTP.CD?locations=1W
- 8unctad.org/system/files/official-document/wir2023_en.pdf
- 20unctad.org/publication/world-investment-report-2024
- 22unctad.org/publication/review-maritime-transport-2024
- 24unctad.org/topic/ecommerce-and-digital-economy
- 9imf.org/en/Publications/WEO/weo-database/2023/October
- 10databank.worldbank.org/source/world-development-indicators
- 11worldbank.org/en/topic/migrationremittancesdiasporaissues/brief/migration-remittances-data
- 12oecd.org/dac/financing-sustainable-development/development-finance-data.htm
- 14oecd.org/centroamerica/Economic-Outlook-Middle-class.pdf
- 27oecd.org/climate-change/finance-provided-mobilised/
- 13population.un.org/wup/
- 15itu.int/en/ITU-D/Statistics/Pages/stat/default.aspx
- 16gsma.com/mobileeconomy/
- 17gartner.com/en/newsroom/press-releases/2024-09-10-gartner-forecast-worldwide-it-spending-to-total-5-trillion-in-2024
- 18gartner.com/en/newsroom/press-releases/2024-11-14-gartner-forecast-worldwide-it-spending-to-reach-5-7-trillion-in-2025
- 19datareportal.com/social-media-users
- 21wto.org/english/news_e/pres24_e/pr945_e.htm
- 23unwto.org/tourism-data
- 26unep.org/resources/emissions-gap-report-2023
- 28ipcc.ch/report/ar6/syr/
- 29ipcc.ch/report/ar6/wg1/chapter/chapter-2/
- 32ipcc.ch/report/ar6/syr/resources/spm-headline-statements/
- 31ilostat.ilo.org/topics/employment/
- 33science.org/doi/10.1126/science.1254296
- 34thelancet.com/journals/lancet/article/PIIS0140-6736(20)30905-2/fulltext
- 35unhcr.org/refugee-statistics/
- 36fao.org/publications/sofi/2023/en/
- 37washdata.org/data/household
- 38ourworldindata.org/covid-excess-mortality







