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The United States leads the available country comparisons by a wide margin: Stanford’s AI Index counted 5,427 U.S. data centers in 2025, more than ten times the count in any other country. But there is no globally consistent official census behind these figures, and the available evidence does not support a reliable ranking of which countries’ residents are most concerned about data-center water use. Water concerns depend on local conditions and cooling choices—not simply how many facilities a country has.
Which countries have the most data centers?
The clearest recent comparison in the available sources is Stanford Institute for Human-Centered AI’s 2026 AI Index, which reports country counts for 2025. It puts the United States at 5,427 data centers and says that is more than ten times the count in any other country. The report also identifies Germany, the United Kingdom, China, Canada, Australia, and Russia among countries with high counts, without supplying exact figures for them in the cited summary.
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For exact figures across four leading countries, a separate World Bank report using Cloudscene data gives this 2023 snapshot:
| Country | Reported data centers in 2023 |
|---|---|
| United States | 5,375 |
| Germany | 522 |
| United Kingdom | 517 |
| China | 448 |
These are counts in particular databases, not a globally standardized government inventory of facilities officially built. Stanford’s 2025 U.S. figure and Cloudscene’s 2023 figures come from separate snapshots; differences between them may reflect timing, database coverage, definitions, or updates as well as construction. They should not be combined as though they were one continuous series.
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Why data-center counts do not show where water use is most contentious
A count tells you how many facilities a source identifies, not how much water they consume or whether the local supply is under pressure. Water concerns can be especially acute when large facilities—Uptime Institute highlights sites larger than 100 MW—are built in water-stressed areas. Climate, facility size and mix, cooling design, local water availability, and the completeness of reporting all affect the picture.
It also matters which water measure is being discussed. Direct facility water use concerns water drawn or consumed at a data center, including for cooling. Water-use effectiveness (WUE) is a normalized facility metric. Water associated with electricity generation is a separate, indirect measure. These figures answer different questions and are not interchangeable.
What the available data says about direct water use
Cooling design changes a facility’s water demand
The European Commission states that “Water consumption in data centres depends primarily on the cooling technology employed.” Its 2026 report says water-based or evaporative cooling can consume substantial water, while air-side or liquid direct-cooling systems use minimal to no water. The categories matter: this does not establish that every liquid-cooling system is water-free.
EU reporting offers a partial, not complete, view
In the first reporting period covered by the European Commission, 770 data centers reported information—about 36% of the estimated number of facilities in scope. Among the reported data, average EU WUE for 2024 was 0.58 m³/MWh, with member-state averages ranging from 0.07 to 1.28 m³/MWh. The Commission notes that some country values are dominated by a few large facilities. Because coverage was partial and facility mixes differ, these figures should not be treated as a complete census or a simple league table of national water performance.
How large are estimates of water use for electricity generation?
A 2025 International Clean Energy Forum roadmap estimates annual water consumption associated with power generation for data centers. This is not a measure of water used directly for facility cooling.
| Country | Estimated annual power-related water consumption |
|---|---|
| China | Approximately 12,700 billion liters |
| India | Approximately 5,920 billion liters |
| United States | Approximately 5,280 billion liters |
| France | Approximately 855 billion liters |
| United Kingdom | Approximately 292 billion liters |
Every figure in the table is a 2025 roadmap estimate of annual water consumption related to power generation. It should not be compared directly with a facility’s cooling-water consumption or WUE.
Independent reader supportYour contribution helps us test, update, and keep practical guides available for everyone.Can the countries with the most public concern about water be ranked?
Not from the available comparable evidence. Uptime Institute reports that water-use data collection remains low and that scarcity is a growing public concern, particularly where large facilities are sited in water-stressed areas. That supports treating water as a local resource and transparency issue, but it does not establish a country-by-country ranking of public opinion.
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Repair common Windows errors and clear accumulated junk for a smoother, more stable PC - no reinstall needed.Free scan · no reinstallOne country-specific data point comes from India. In a parliamentary reply dated March 30, 2026, the Ministry of Jal Shakti said the Ministry of Electronics and Information Technology had received no concerns regarding data-center water consumption. The same reply said India’s data-center capacity grew from 375 MW in 2020 to more than 1,500 MW by 2025, and listed direct-to-chip liquid, adiabatic, and immersion cooling among approaches in use. The government’s statement describes concerns received by that ministry; it does not show that no residents or organizations have raised concerns elsewhere.
Quick Recap
What to compare when assessing water risk
- Facility count: identify the database and reference year; counts alone do not measure water use.
- Local water conditions: consider whether a site is in a water-stressed area and how its demand fits local supply.
- Cooling method and facility scale: water demand varies by technology and by the size and mix of facilities.
- Metric: distinguish direct facility water use, WUE, and water associated with electricity generation.
- Reporting coverage: check how many facilities reported and what portion of the relevant population that represents.
- Evidence of public concern: look for comparable local evidence rather than inferring sentiment from national counts or water-use estimates.
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