Key Takeaways
- In Ethiopia, only 20.4% of the population had access to safely managed drinking water in 2022.
- In India, 56% of the population lacks safely managed sanitation, impacting water.
- Nigeria: 60 million people (33%) without basic drinking water services in 2020.
- Globally, 2.2 billion people (27% of the world population) lacked access to safely managed drinking water services in 2022.
- In 2023, approximately 785 million people still lacked even basic drinking water services worldwide.
- Worldwide, 44% of household wastewater is not safely treated, contributing to water contamination affecting clean water access.
- Unsafe water contributes to 485,000 diarrhoeal deaths annually among children under 5 globally.
- Lack of clean water causes 829,000 annual deaths from diarrhea worldwide.
- Contaminated water leads to 1.7 million child deaths yearly from diarrhea and malnutrition.
- Global safe water access rose from 61% in 2000 to 74% in 2020.
- Between 2000-2022, 2 billion more people gained basic water services.
- Safely managed water services increased globally by 11% from 2010-2022.
- In Sub-Saharan Africa, only 24% of the population had access to safely managed drinking water in 2022.
- Southern Asia has 41% of its population without basic drinking water services.
- In Latin America and the Caribbean, 78 million people lacked safely managed water in 2020.
In 2022, 2.2 billion people lacked safely managed drinking water, risking disease and stalling progress toward SDG 6.
Country-Specific Statistics
Country-Specific Statistics Interpretation
Global Statistics
Global Statistics Interpretation
Health Impacts
Health Impacts Interpretation
Progress and Trends
Progress and Trends Interpretation
Regional Statistics
Regional Statistics 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.
Kevin O'Brien. (2026, February 13). Access To Clean Water Statistics. Gitnux. https://gitnux.org/access-to-clean-water-statistics
Kevin O'Brien. "Access To Clean Water Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/access-to-clean-water-statistics.
Kevin O'Brien. 2026. "Access To Clean Water Statistics." Gitnux. https://gitnux.org/access-to-clean-water-statistics.
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