Key Takeaways
- In 2020, around 2 billion people used unimproved drinking water sources and 3 billion lacked sanitation facilities
- The cost of desalinated seawater RO is commonly in the range of $0.50-$2.00 per m3 depending on energy and policy (IEA water-energy report citing typical ranges)
- In 2022, private sector participation in water and wastewater projects totaled $11.4 billion in investment commitments (OECD PPI data reported for sector)
- NRW reduction programs can cut water losses by 10-20 percentage points in pilot utilities over 2-5 years (World Bank NRW guidance ranges)
- In 2022, 17% of the global rural population used safely managed sanitation services (World Bank global water brief)
- In 2019, global wastewater treatment capacity reached about 80% in OECD countries, compared with much lower rates in low-income settings (OECD/UN-WWAP comparative indicator)
- 58% of diarrheal deaths are estimated to be due to unsafe water, sanitation and hygiene
- Waterborne diseases account for an estimated 1.7 billion cases of diarrhea each year
- At least 5.2 million deaths per year are attributed to air pollution; however, household air pollution is linked to water and sanitation-related exposures, and improved WASH interventions reduce these risks (used as linkage statistic in WASH benefit analyses)
- The global water and wastewater treatment market is projected to reach $572.5 billion by 2027 (2020-2027 CAGR reported by the source)
- The global desalination market is projected to reach $15.5 billion by 2029 (forecast base year stated by the source)
- The global water treatment chemicals market size was $25.9 billion in 2023 (reported by the source)
- The global water meter market was valued at $12.7 billion in 2023 and is forecast to reach $19.9 billion by 2030
- The global ultraviolet (UV) disinfection equipment market is expected to reach $1.9 billion by 2030
- By 2023, 61% of global wastewater treatment plants in OECD countries used activated sludge processes (reported process mix in sectoral report)
Unsafe water and sanitation still drive massive diarrhea and deaths while WASH and treatment investments are scaling up.
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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). Water Statistics. Gitnux. https://gitnux.org/water-statistics
Kevin O'Brien. "Water Statistics." Gitnux, 13 Feb 2026, https://gitnux.org/water-statistics.
Kevin O'Brien. 2026. "Water Statistics." Gitnux. https://gitnux.org/water-statistics.
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