| # | Country | GROUND WATER | SPRING WATER | SURFACE WATER | OTHER SOURCES | IMPORTED WATER (from abroad) | TOTAL WATER ABSTRACTION | Notes |
|---|---|---|---|---|---|---|---|---|
| 12138 | Armenia | n/a | n/a | n/a | n/a | n/a | 521 | |
| 12139 | Austria | 353 | 469 | 0 | 0 | 0 | 822 | |
| 12140 | Belgium | 419.691 | 0 | 283.309 | 0 | 0 | 703 | For possible discrepancies versus the 2022 data : very recently, we did run an extensive survey of data for the 5 Years overview by EurEau and got the opportunity to reassess consistent definitions of data dimensions and align through the 3 regions. |
| 12141 | Brazil | n/a | n/a | n/a | n/a | n/a | 18600 | |
| 12142 | Canada | 297.164684 | 0 | 1984.440706 | 0 | 0 | 2281.60539 | 1. The information is based on the results of the Canadian National Water and Wastewater Benchmarking Initiative (NWWBI, https://nationalbenchmarking.ca/about-us.htm). “The partnership represents 43 of Canada’s leading municipalities and regional districts from coast to coast with a service population greater than 50,000. Their combined service population represents over 60% of the Canadian population.” In other words, the data are not representing entire Canada. 2. Each year NWWBI has slightly different number of participating municipalities. Some new cities join the project, some participants are leaving the project based on their priorities and available budget, some municipalities decide to drop or join different project modules. For example, one year a municipality might be participating both in Water Distribution and Water Treatment modules. Next year it may quit the Water Treatment module but still submit the Water Distribution data, etc. The total values may change significantly from year to year if a bigger municipality leaving or joining the project. Both these major factors can affect the total abstraction and consumption volumes from year to year. In this questionnaire I always report the total amounts regardless the selection of participants each year. |
| 12143 | Chile | 907.512926 | 0 | 1015.183952 | 35.298592 | 0 | 1957.99547 | Other sources 2024 = desalination |
| 12144 | Hong Kong SAR, China | 0 | 0 | 228.187 | 13 | 818.363 | 1059.55 | Other sources 2024 = desalination |
| 12145 | Chinese Taipei | 4743.228 | 0 | 9525 | 104.192 | 7 | 14379.42 | Other sources 2024 = desalination and water reuse |
| 12146 | Cyprus | 145 | 0 | 71.37 | 91.37 | 0 | 307.74 | Other sources 2024 = Desalination 67,82 & Reused 23,55 |
| 12147 | Denmark | 356 | 0 | 0 | 0.001642 | 0 | 356.001642 | Other sources 2024 = desalination plant of seawater - 45 persons - Christiansø, Bornholm |
| 12148 | Estonia | 29.321308 | 0.007061 | 6.144932 | 19.49387 | 0 | 54.967171 | Spring water 2024 = mineral water and other sources 2024 = mix of surface and ground water |
| 12149 | Finland | 169.65 | 0 | 265.35 | 0 | 0 | 435 | |
| 12150 | France | 3498 | 0 | 1802 | 0 | 0 | 5300 | |
| 12151 | Germany | 3273 | 455 | 1497 | 0 | 0 | 5225 | |
| 12152 | Guyana | n/a | n/a | n/a | n/a | n/a | n/a | |
| 12153 | Hungary | 557.896301 | 88.379905 | 41.136256 | 0 | 0 | 687.412462 | |
| 12154 | India | |||||||
| 12155 | Japan | 2842.177 | 495.614 | 11385.728 | 432.037 | 0 | 15155.556 | |
| 12156 | Kenya | n/a | n/a | n/a | n/a | n/a | 511.992842 | |
| 12157 | Latvia | 61.902045 | 0 | 19.53778 | 0 | 0 | 81.439825 | |
| 12158 | Lithuania | 140.039162 | 0 | 0 | 0 | 0 | 140.039162 | |
| 12159 | Macao SAR, China | 0 | 0 | 0 | 1.352297 | 105.065568 | 106.417865 | Other sources 2024 = local catchment |
| 12160 | Malta | 13.50914 | 0 | 0 | 25.735592 | 0 | 39.244732 | Other sources 2024 = desalination |
| 12161 | Montenegro | n/a | n/a | n/a | n/a | n/a | n/a | |
| 12162 | Netherlands | 790.386533 | 0 | 415.17466 | 0 | 10.163431 | 1215.724624 | |
| 12163 | North Macedonia | 56.205 | 174.692 | 0.289524 | 0 | 0 | 231.186524 | |
| 12164 | Portugal | 254.392509 | 0 | 574.808183 | 0 | 0.163291 | 829.363983 | Data of year 2023 instead of 2024 |
| 12165 | Republic of Moldova | 37.7 | 0 | 90.3 | 12.8 | 0 | 140.8 | The information is based on data provided by license holders regulated by ANRE. The upward trend is driven by the development of public water supply systems across the country and an increased access to the water supply services. Another reason for higher water consumption - is the impact of climate change, including prolonged droughts. |
| 12166 | Republic of Seychelles | 0 | 0 | 19.39829 | 10.42075 | 0 | 29.81904 | |
| 12167 | Romania | 490.400519 | 0 | 769.208095 | 0 | 0 | 1259.608614 | |
| 12168 | Scotland (UK) | 27.9 | 0 | 645 | 0 | 0 | 672.9 | |
| 12169 | Slovakia | 338.3 | 0 | 59.7 | 0 | 0 | 398 | |
| 12170 | South Korea | 156.959137 | 0 | 6802.08031 | 0.322993 | 0.262162 | 6959.624602 | Other sources 2024 = seawater (desalination) |
| 12171 | Switzerland | 346.2 | 387.7 | 181.6 | 0 | 0 | 915.5 | Including Liechtenstein |
| 12172 | United States of America | 9811.169168 | 0 | 51018.079675 | 4578.545612 | 0 | 65407.794455 |
| # | Country | Per Capita | Notes |
|---|---|---|---|
| 12173 | Armenia | 217.08333333333 | |
| 12174 | Austria | 96.843571124357 | |
| 12175 | Belgium | 60.428377888302 | For possible discrepancies versus the 2022 data : very recently, we did run an extensive survey of data for the 5 Years overview by EurEau and got the opportunity to reassess consistent definitions of data dimensions and align through the 3 regions. |
| 12176 | Brazil | 106.88535333338 | |
| 12177 | Canada | 259.18459850054 | |
| 12178 | Chile | 119.68353534001 | |
| 12179 | Chinese Taipei | 641.6055027164 | |
| 12180 | Cyprus | 313.06205493388 | |
| 12181 | Denmark | 62.810990955259 | |
| 12182 | Estonia | 47.264560159867 | |
| 12183 | Finland | 84.466019417476 | |
| 12184 | France | 77.485380116959 | |
| 12185 | Germany | 62.847899962983 | |
| 12186 | Hong Kong SAR, China | 141.28086831298 | |
| 12187 | Hungary | 71.720314415991 | |
| 12188 | India | 566.01458789205 | |
| 12189 | Japan | 124.26479632775 | |
| 12190 | Kenya | 22.478832700046 | |
| 12191 | Latvia | 52.108995181059 | Data below (except country population and average household size) are given about the water management service providers (merchants), that are regulated by the Public Utilities Commission (PUC). PUC regulates 59 biggest water management service providers in Latvia and they cover the biggest part of Latvia's consumption. Smaller merchants and municipal institutions (e.g. municipal agencies) are regulated by the local municipalities. But at the moment due to the administrative reform many of thoses service providers are reorganized and their water managements systems are given to the regulated merchants. |
| 12192 | Lithuania | 53.917165581823 | Regarding the increase in the population served by water supply, we would like to clarify that the data reported for 2022 did not represent the number of inhabitants. Instead, due to an error, the figure referred to the number of customers (service connections/users) rather than the population served. The 2024 data have been corrected and now represent the actual number of inhabitants served by the public water supply system. Therefore, the apparent increase between 2022 and 2024 is due to the correction of the reporting methodology rather than a real increase in the population served. |
| 12193 | Macao SAR, China | 154.60971233474 | |
| 12194 | Malta | 68.34084806269 | |
| 12195 | Netherlands | 67.564711560879 | |
| 12196 | North Macedonia | 127.76830365531 | |
| 12197 | Portugal | 87.655109513931 | Data of year 2023 instead of 2024 |
| 12198 | Republic of Moldova | 67.505919952746 | The information is based on data provided by license holders regulated by ANRE. The upward trend is driven by the development of public water supply systems across the country and an increased access to the water supply services. Another reason for higher water consumption - is the impact of climate change, including prolonged droughts. |
| 12199 | Republic of Seychelles | 315.86962278741 | |
| 12200 | Romania | 81.333743787416 | |
| 12201 | Scotland (UK) | 128.67391860557 | |
| 12202 | Slovakia | 80.625785746901 | |
| 12203 | South Korea | 134.9786711917 | |
| 12204 | Switzerland | 100.85323711351 | Including Liechtenstein |
| # | Country | Household & small business | Industry & other billed water consumption | Notes |
|---|---|---|---|---|
| 12205 | Armenia | n/a | n/a | |
| 12206 | Austria | 406.4 | 162.6 | |
| 12207 | Belgium | 351 | 148 | For possible discrepancies versus the 2022 data : very recently, we did run an extensive survey of data for the 5 Years overview by EurEau and got the opportunity to reassess consistent definitions of data dimensions and align through the 3 regions. |
| 12208 | Brazil | 10298.28337 | n/a | |
| 12209 | Canada | 810.772 | 0 | 1. The information is based on the results of the Canadian National Water and Wastewater Benchmarking Initiative (NWWBI, https://nationalbenchmarking.ca/about-us.htm). “The partnership represents 43 of Canada’s leading municipalities and regional districts from coast to coast with a service population greater than 50,000. Their combined service population represents over 60% of the Canadian population.” In other words, the data are not representing entire Canada. 2. Each year NWWBI has slightly different number of participating municipalities. Some new cities join the project, some participants are leaving the project based on their priorities and available budget, some municipalities decide to drop or join different project modules. For example, one year a municipality might be participating both in Water Distribution and Water Treatment modules. Next year it may quit the Water Treatment module but still submit the Water Distribution data, etc. The total values may change significantly from year to year if a bigger municipality leaving or joining the project. Both these major factors can affect the total abstraction and consumption volumes from year to year. In this questionnaire I always report the total amounts regardless the selection of participants each year. |
| 12210 | Chile | 1105.269043 | 124.006408 | |
| 12211 | Hong Kong SAR, China | 599.369 | 460.181 | |
| 12212 | Chinese Taipei | 2372.176889 | 1450 | |
| 12213 | Cyprus | 68.9 | 56.1 | data of 2024: Data of five cities plus estimates for Small communities and municipalities (125.000.000 m³) plus agriculture (154.700.000 m³). |
| 12214 | Denmark | 259.689 | 61.311 | |
| 12215 | Estonia | 42.614221 | 1.6179 | |
| 12216 | Finland | 310 | 65 | |
| 12217 | France | n/a | n/a | |
| 12218 | Germany | 3767 | 836 | |
| 12219 | Guyana | 64.747715 | 0 | |
| 12220 | Hungary | 366.493332 | 122.593677 | |
| 12221 | India | 40425 | 5513 | |
| 12222 | Japan | 11907.866 | 955.048 | |
| 12223 | Kenya | 180.315474 | 83.60972 | |
| 12224 | Latvia | n/a | n/a | |
| 12225 | Lithuania | 63.165867 | 48.357919 | |
| 12226 | Macao SAR, China | 52.029605 | 41.936591 | |
| 12227 | Malta | 19.634802 | 9.072859 | |
| 12228 | Montenegro | 35.938608 | 11.007269 | |
| 12229 | Netherlands | 933.393901 | 160.386889 | |
| 12230 | North Macedonia | 107.737908 | 34.753687 | |
| 12231 | Portugal | 402.266756 | 214.152697 | Data of year 2023 instead of 2024. Sources for data 2023: - total water delivered = retail system operators (include exported drinking water) - households = retail system operators - small business = Included in the "industry and other billed water consumption" - industry and other billed water consumption = retail system operators, includes 'small business' - unbilled water consumption = retail system operators - exported drinking water = retail system operators |
| 12232 | Republic of Moldova | 72.45 | 29.5132 | The information is based on data provided by license holders regulated by ANRE. The upward trend is driven by the development of public water supply systems across the country and an increased access to the water supply services. Another reason for higher water consumption - is the impact of climate change, including prolonged droughts. |
| 12233 | Republic of Seychelles | 7.331139 | 3.300562 | |
| 12234 | Romania | 523.41305 | 190.809659 | |
| 12235 | Scotland (UK) | 388 | 138 | |
| 12236 | Slovakia | n/a | n/a | |
| 12237 | South Korea | 5453.63585 | 408.730109 | |
| 12238 | Switzerland | 505.4 | 234.2 | Including Liechtenstein |
| 12239 | United States of America | 37042.683152 | n/a | data of 2024: no data for industry and unbilled water consumption |
| # | Country | Delivered households per capita | Notes |
|---|---|---|---|
| 12240 | Austria | 47.879838570485 | |
| 12241 | Belgium | 30.171210012509 | For possible discrepancies versus the 2022 data : very recently, we did run an extensive survey of data for the 5 Years overview by EurEau and got the opportunity to reassess consistent definitions of data dimensions and align through the 3 regions. |
| 12242 | Canada | 60.232672608799 | 1. The information is based on the results of the Canadian National Water and Wastewater Benchmarking Initiative (NWWBI, https://nationalbenchmarking.ca/about-us.htm). “The partnership represents 43 of Canada’s leading municipalities and regional districts from coast to coast with a service population greater than 50,000. Their combined service population represents over 60% of the Canadian population.” In other words, the data are not representing entire Canada. 2. Each year NWWBI has slightly different number of participating municipalities. Some new cities join the project, some participants are leaving the project based on their priorities and available budget, some municipalities decide to drop or join different project modules. For example, one year a municipality might be participating both in Water Distribution and Water Treatment modules. Next year it may quit the Water Treatment module but still submit the Water Distribution data, etc. The total values may change significantly from year to year if a bigger municipality leaving or joining the project. Both these major factors can affect the total abstraction and consumption volumes from year to year. In this questionnaire I always report the total amounts regardless the selection of participants each year. |
| 12243 | Chile | 57.372420265245 | |
| 12244 | Chinese Taipei | 105.84583699475 | |
| 12245 | Cyprus | 70.091556459817 | data of 2024: Data of five cities plus estimates for Small communities and municipalities (125.000.000 m³) plus agriculture (154.700.000 m³). |
| 12246 | Denmark | 37.492695609461 | |
| 12247 | Finland | 60.194174757282 | |
| 12248 | Germany | 45.310629504413 | |
| 12249 | Guyana | 71.135859613428 | |
| 12250 | Hong Kong SAR, China | 79.920129073551 | |
| 12251 | Hungary | 38.237620723269 | |
| 12252 | India | 29.485776805252 | |
| 12253 | Japan | 85.221565555675 | |
| 12254 | Kenya | 7.628423125159 | |
| 12255 | Lithuania | 24.319800700881 | Regarding the increase in the population served by water supply, we would like to clarify that the data reported for 2022 did not represent the number of inhabitants. Instead, due to an error, the figure referred to the number of customers (service connections/users) rather than the population served. The 2024 data have been corrected and now represent the actual number of inhabitants served by the public water supply system. Therefore, the apparent increase between 2022 and 2024 is due to the correction of the reporting methodology rather than a real increase in the population served. |
| 12256 | Macao SAR, China | 54.893139619352 | |
| 12257 | Montenegro | 67.816243695053 | |
| 12258 | Netherlands | 42.902599301914 | |
| 12259 | North Macedonia | 59.542786086149 | |
| 12260 | Portugal | 42.515394053462 | Data of year 2023 instead of 2024 |
| 12261 | Republic of Moldova | 34.735823157503 | The information is based on data provided by license holders regulated by ANRE. The upward trend is driven by the development of public water supply systems across the country and an increased access to the water supply services. Another reason for higher water consumption - is the impact of climate change, including prolonged droughts. |
| 12262 | Republic of Seychelles | 77.657902820885 | |
| 12263 | Romania | 33.797119542158 | |
| 12264 | Scotland (UK) | 74.194502034421 | |
| 12265 | South Korea | 71.079163907875 | |
| 12266 | Switzerland | 49.572863682226 | Including Liechtenstein |
| # | Country | Households | Notes |
|---|---|---|---|
| 12267 | Yerevan | n/a | |
| 12268 | Graz | 130 | |
| 12269 | Innsbruck | 105.5 | |
| 12270 | Linz | 121 | |
| 12271 | Salzburg | n/a | |
| 12272 | Vienna | 156.72 | |
| 12273 | Louvain | 78 | |
| 12274 | Antwerp | 98 | |
| 12275 | Brussels | 96 | |
| 12276 | Liège | 93 | |
| 12277 | Kortrijk | 74 | |
| 12278 | Genk | 83 | |
| 12279 | Ghent | 82 | |
| 12280 | Charleroi | 93 | |
| 12281 | Calgary | n/a | |
| 12282 | Ottawa | n/a | |
| 12283 | Winnipeg | n/a | |
| 12284 | Regina | n/a | |
| 12285 | Richmond | n/a | |
| 12286 | Durham | n/a | |
| 12287 | Saskatoon | n/a | |
| 12288 | Vancouver | n/a | |
| 12289 | Antofagasta | 153 | |
| 12290 | Valparaiso | 132 | |
| 12291 | Vina del Mar | n/a | |
| 12292 | Concepción | 204 | |
| 12293 | Temuco | 174 | |
| 12294 | Santiago | 181 | |
| 12295 | Arica | 139 | |
| 12296 | Iquique | 152 | |
| 12297 | Copiapó | 155 | |
| 12298 | La Serena | 177 | |
| 12299 | Rancagua | 185 | |
| 12300 | Talca | 180 | |
| 12301 | Chillán | 155 | |
| 12302 | Valdivia | 174 | |
| 12303 | Puerto Montt | 159 | |
| 12304 | Coyhaique | 138 | |
| 12305 | Punta Arenas | 175 | |
| 12306 | average Chile | n/a | |
| 12307 | Hong Kong | 218 | |
| 12308 | Taipei | 337 | |
| 12309 | Kaohsiung | 281 | |
| 12310 | Larnaca | 162 | |
| 12311 | Nicosia | 155 | |
| 12312 | Limassol | 162 | |
| 12313 | Paphos | 229 | |
| 12314 | Aalborg | 76 | |
| 12315 | Aarhus | 97 | |
| 12316 | Copenhagen | 100 | |
| 12317 | Esbjerg | 115 | |
| 12318 | Odense | 94 | |
| 12319 | Tallinn | 95 | |
| 12320 | Tartu | 99 | |
| 12321 | Pärnu | 86 | |
| 12322 | Espoo | 127 | |
| 12323 | Helsinki | 127 | |
| 12324 | Oulu | 106 | |
| 12325 | Tampere | 129 | data from year 2022 |
| 12326 | Turku | 118 | |
| 12327 | Vantaa | 127 | |
| 12328 | Bordeaux | 149 | |
| 12329 | Wissous | n/a | |
| 12330 | Lille | n/a | |
| 12331 | Lyon | 142 | |
| 12332 | Paris | 197 | |
| 12333 | Strassbourg | 160 | |
| 12334 | Reims | 146 | |
| 12335 | Nancy | 145 | |
| 12336 | Le Havre | 131 | |
| 12337 | Marseille | n/a | |
| 12338 | Brest | n/a | |
| 12339 | Germany Average | n/a | |
| 12340 | Berlin | n/a | |
| 12341 | Georgetown | 314 | |
| 12342 | Budapest | 135 | |
| 12343 | Debrecen | 102.8 | |
| 12344 | Miskolc | 91 | |
| 12345 | Szeged | 103 | |
| 12346 | Gyõr | 100 | |
| 12347 | Pécs | n/a | |
| 12348 | Kaposvár | n/a | |
| 12349 | Hyderabad | 150 | |
| 12350 | Bangalore | 150 | |
| 12351 | Mumbai | 150 | |
| 12352 | Nagoya | 221 | |
| 12353 | Osaka | 246 | |
| 12354 | Hiroshima | 277 | |
| 12355 | Fukuoka | 198 | |
| 12356 | Sapporo | 206 | |
| 12357 | Sendai | 216 | |
| 12358 | Tokyo | 211 | |
| 12359 | Yokohama | 216 | |
| 12360 | Nairobi | 33 | |
| 12361 | Muranga | 50 | |
| 12362 | Malindi | 23 | |
| 12363 | Mombasa | 9 | |
| 12364 | Nyeri | 62 | |
| 12365 | Kenya Average | n/a | |
| 12366 | Riga | n/a | |
| 12367 | Daugavpils | n/a | |
| 12368 | Liepaja | n/a | |
| 12369 | Jelgava | n/a | |
| 12370 | Jurmala | n/a | |
| 12371 | Kaunas | 150 | |
| 12372 | Klaipeda | 124 | |
| 12373 | Panevezys | 163 | |
| 12374 | Siauliai | 93 | |
| 12375 | Vilnius | 141 | |
| 12376 | Macao, China Average | n/a | |
| 12377 | Malta Average | 66 | |
| 12378 | Podgorica | 208 | |
| 12379 | Andrijevica | 80 | |
| 12380 | Bar | 139 | |
| 12381 | Berane | 199 | |
| 12382 | Bijelo Polje | 147 | |
| 12383 | Budva | 278 | |
| 12384 | Cetinje | 152 | |
| 12385 | Danilovgrad | 190 | |
| 12386 | Gusinje | 66 | |
| 12387 | Herceg Novi | 240 | |
| 12388 | Kolašin | 192 | |
| 12389 | Kotor | 196 | |
| 12390 | Mojkovac | 114 |
