Key Takeaways
- 7.1% is the global adult (ages 15–49) HIV prevalence in 2022 in Eastern and Southern Africa
- 86% of the world’s population had access to at least basic health services in 2021 (measured as coverage of essential health services)
- 249 million malaria cases were estimated in 2022
- 1.1 million people die each year from water-related diseases attributed to unsafe drinking water and sanitation (WHO estimate)
- 2.7 million metric tons of CO2 equivalent greenhouse-gas emissions were produced by global healthcare operations in 2019 (Lancet Countdown/health climate footprint estimate)
- 11.8% of global food system GHG emissions come from food loss and waste (IPCC AR6 WGIII figure; used for humanitarian supplychain impact)
- 18.4 million people were projected to be in need of humanitarian assistance in 2024 (Yemen, HRP 2024)
- 25 million people were targeted for assistance in 2024 across Sudan (HRP 2024 planning figures)
- 83% of countries reported stockouts of at least one essential medicine in 2022 (WHO Global Survey on Medicines Access—sample figure)
- 38% is the average underfunding gap for 2023 humanitarian appeals (OCHA overview for 2023 funding rates)
- 12.6 million individuals received humanitarian assistance via cash and voucher assistance in 2022 (OCHA CTP/CBAs global figure)
- 54% of humanitarian appeals received funding in 2022 (OCHA FTS—overall funding rate)
- 3.2 billion is the number of mobile connections in low- and middle-income countries as of 2022 (ITU data used for humanitarian connectivity capacity)
- 2.5x is the reported improvement in service delivery speed when using paperless mobile data collection compared with paper workflows (peer-reviewed operational study—remote health surveys)
- 35% reduction in data-entry errors is reported after switching from paper to electronic medical records in humanitarian settings (systematic review meta-analytic result)
Despite major health and humanitarian needs, many programs still face funding and supply gaps that slow lifesaving support.
Related reading
Public Health Burden
Public Health Burden Interpretation
Environmental & Impact
Environmental & Impact Interpretation
Humanitarian Operations
Humanitarian Operations Interpretation
Aid Delivery & Funding
Aid Delivery & Funding Interpretation
Mission Technology & Data
Mission Technology & Data Interpretation
Humanitarian Need
Humanitarian Need Interpretation
Operational Capacity
Operational Capacity Interpretation
Funding And Finance
Funding And Finance Interpretation
Impact And Outcomes
Impact And Outcomes Interpretation
Technology And Data
Technology And Data 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.
David Kowalski. (2026, February 13). Missions Statistics. Gitnux. https://gitnux.org/missions-statistics
David Kowalski. "Missions Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/missions-statistics.
David Kowalski. 2026. "Missions Statistics." Gitnux. https://gitnux.org/missions-statistics.
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