"Table 2. Freshwater Withdrawal, by Country and Sector (2006 Update)",,,,,,,,,,,, ,,,,,,,,,,,, Description,,,,,,,,,,,, "The use of water varies greatly from country to country and from region to region. Data on water use by regions and by different economic sectors are among the most sought after in the water resources area. Ironically, these data are often the least reliable and most inconsistent of all water-resources information. The following table presents The World’s Water 2006 update of the data available on total freshwater withdrawals by country in cubic kilometers per year and cubic meters per person per year, using national population estimates from approximately the year of withdrawal. The table also gives the breakdown of that water use by the domestic, agricultural, and industrial sectors, in both percentage of total water use and cubic meters per person per year. The data sources are also explicitly identified.",,,,,,,,,,,, “Withdrawal” typically refers to water taken from a water source for use. It does not refer to water “consumed” in that use. The domestic sector typically includes household and municipal uses as well as commercial and governmental water use. The industrial sector includes water used for power plant cooling and industrial production. The agricultural sector includes water for irrigation and livestock.,,,,,,,,,,,, "In 2003, the Food and Agriculture Organization of the United Nations published a comprehensive update of its water use estimates in the Aquastat dataset, and it has continued to provide new and updated numbers. As a result, new estimates of water use by country are available, as are new estimates of the sectoral breakdown. An advantage of the Aquastat dataset is that it provides what appears to be a consistent set of information, but users should be very careful to understand which numbers are measured and which are only calculated (see Limitations). ",,,,,,,,,,,, ,,,,,,,,,,,, Limitations,,,,,,,,,,,, "Extreme care should be used when applying these data. They come from a wide variety of sources and are collected using a wide variety of approaches, with few formal standards. As a result, this table includes data that are actually measured, estimated, modeled using different assumptions, or derived from other data. The data also come from different years, making direct intercomparisons difficult. For example, some water-use data are over twenty years old. Separate data are now provided for the independent states of the former Soviet Union, but not for the former states of Yugoslavia. Industrial withdrawals for Panama, St. Lucia, St. Vincent, and the Grenadines are included in the domestic category.",,,,,,,,,,,, "The 2003 revision of the FAO Aquastat dataset is the most dramatic change in water use data in recent years, yet these data are marred by inadequate information on sources and assumptions. They should be used with great care, and with appropriate caveats about their quality. As an example, the latest actual measured data on water use in Canada comes from a detailed national assessment published in 1996 by Environment Canada (see later reference “o”). More recent data can be found on the Aquastat database, but these data simply take the 1996 measured value and modify it for the change in population in Canada?thus the 2000 Aquastat value is modeled, not measured. Although we often report the Aquastat values in this table, in the case of Canada, we have chosen to rely on the 1996 measured value, while awaiting a Canadian reassessment (now under way).",,,,,,,,,,,, "Another major limitation of these data is that they do not include the use of rainfall in agriculture. Many countries use a significant fraction of the rain falling on their territory for agricultural production, but this water use is neither accurately measured nor reported in this set. We repeat our regular call for a systematic reassessment of water-use data and for national and international commitments to collect and standardize this information. We note that budgetary constraints continue to delay any major new data initiatives.",,,,,,,,,,,, ,,,,,,,,,,,, ,,,Total Freshwater Withdrawal,Per Capita Withdrawal,Domestic Use,Industrial Use,Agricultural Use,Domestic Use,Industrial Use,Agricultural Use,,2005 Population Region,Country,Year,(km^3/yr),(m^3/p/yr),(%),(%),(%),m3/p/yr,m3/p/yr,m3/p/yr,Source,(millions) ,,,,,,,,,,,, AFRICA,Algeria,2000,6.07 ,185 ,22,13,65,41,24,120,l,32.85 ,Angola,2000,0.35 ,22 ,23,17,60,5,4,13,l,15.94 ,Benin,2001,0.13 ,15 ,32,23,45,5,4,7,l,8.44 ,Botswana,2000,0.19 ,107 ,41,18,41,44,19,44,l,1.77 ,Burkina Faso,2000,0.80 ,60 ,13,1,86,8,1,52,l,13.23 ,Burundi,2000,0.29 ,38 ,17,6,77,6,2,30,l,7.55 ,Cameroon,2000,0.99 ,61 ,18,8,74,11,5,45,l,16.32 ,Cape Verde,2000,0.02 ,39 ,7,2,91,3,1,36,l,0.51 ,Central African Republic,2000,0.03 ,7 ,80,16,4,6,1,0,l,4.04 ,Chad,2000,0.23 ,24 ,17,0,83,4,0,20,l,9.75 ,Comoros,1999,0.01 ,13 ,48,5,47,6,1,6,l,0.80 ,"Congo, Democratic Republic (formerly Zaire)",2000,0.36 ,6 ,53,17,31,3,1,2,l,57.55 ,"Congo, Republic of",2000,0.03 ,8 ,59,29,12,4,2,1,l,4.00 ,Cote D'Ivoire,2000,0.93 ,51 ,24,12,65,12,6,33,l,18.15 ,Djibouti,2000,0.02 ,25 ,84,0,16,21,0,4,l,0.79 ,Egypt,2000,68.30 ,923 ,8,6,86,70,55,793,l,74.03 ,Equatorial Guinea,2000,0.11 ,220 ,83,16,1,183,35,2,l,0.50 ,Eritrea,2000,0.30 ,68 ,3,0,97,2,0,66,l,4.40 ,Ethiopia,2002,5.56 ,72 ,6,0,94,4,0,67,l,77.43 ,Gabon,2000,0.12 ,87 ,50,8,42,43,7,37,l,1.38 ,Gambia,2000,0.03 ,20 ,23,12,65,5,2,13,l,1.52 ,Ghana,2000,0.98 ,44 ,24,10,66,11,4,29,l,22.11 ,Guinea,2000,1.51 ,161 ,8,2,90,12,4,144,l,9.40 ,Guinea-Bissau,2000,0.18 ,113 ,13,5,82,15,6,93,l,1.59 ,Kenya,2000,1.58 ,46 ,30,6,64,14,3,29,l,34.26 ,Lesotho,2000,0.05 ,28 ,40,40,20,11,11,6,l,1.80 ,Liberia,2000,0.11 ,34 ,27,18,55,9,6,18,l,3.28 ,Libya,2000,4.27 ,730 ,14,3,83,102,22,606,l,5.85 ,Madagascar,2000,14.96 ,804 ,3,2,96,23,13,769,l,18.61 ,Malawi,2000,1.01 ,78 ,15,5,80,12,4,63,l,12.88 ,Mali,2000,6.55 ,484 ,9,1,90,44,5,436,l,13.52 ,Mauritania,2000,1.70 ,554 ,9,3,88,49,16,489,l,3.07 ,Mauritius,2000,0.61 ,488 ,25,14,60,124,69,294,a,1.25 ,Morocco,2000,12.60 ,400 ,10,3,87,40,12,348,l,31.48 ,Mozambique,2000,0.63 ,32 ,11,2,87,4,1,28,l,19.79 ,Namibia,2000,0.3,148 ,24,5,71,35,7,105,l,2.03 ,Niger,2000,2.18 ,156 ,4,0,95,6,0,149,l,13.96 ,Nigeria,2000,8.01 ,61 ,21,10,69,13,6,42,l,131.53 ,Rwanda,2000,0.15 ,17 ,24,8,68,4,1,11,l,9.04 ,Senegal,2002,2.22 ,190 ,4,3,93,8,6,177,l,11.66 ,Sierra Leone,2000,0.38 ,69 ,5,3,92,4,2,63,l,5.53 ,Somalia,2000,3.29 ,400 ,0,0,100,2,0,398,l,8.23 ,South Africa,2000,12.50 ,264 ,31,6,63,82,16,166,l,47.43 ,Sudan,2000,37.32 ,"1,030 ",3,1,97,27,7,996,l,36.23 ,Swaziland,2000,1.04 ,"1,010 ",2,1,97,20,10,979,l,1.03 ,Tanzania,2000,5.18 ,135 ,10,0,89,14,0,120,l,38.33 ,Togo,2000,0.17 ,28 ,53,2,45,15,1,12,l,6.15 ,Tunisia,2000,2.64 ,261 ,14,4,82,37,10,214,l,10.10 ,Uganda,2002,0.30 ,10 ,43,17,40,4,2,4,l,28.82 ,Zambia,2000,1.74 ,149 ,17,7,76,25,10,113,l,11.67 ,Zimbabwe,2002,4.21 ,324 ,14,7,79,45,23,256,l,13.01 ,,,,,,,,,,,, NORTH AND CENTRAL AMERICA,Antigua and Barbuda,1990,0.005 ,63 ,60,20,20,38,13,13,g,0.08 ,Barbados,2000,0.09 ,333 ,33,44,22,111,147,73,l,0.27 ,Belize,2000,0.15,556 ,7,73,20,39,406,111,l,0.27 ,Canada,1996,44.72 ,"1,386 ",20,69,12,271,952,163,o,32.27 ,Costa Rica,2000,2.68 ,619 ,29,17,53,182,106,331,l,4.33 ,Cuba,2000,8.20 ,728 ,19,12,69,138,89,500,l,11.27 ,Dominica ,1996,0.02 ,213 ,-,-,-,,,,h,0.08 ,Dominican Republic,2000,3.39 ,381 ,32,2,66,122,7,252,l,8.90 ,El Salvador,2000,1.28 ,186 ,25,16,59,46,29,111,l,6.88 ,Guatemala,2000,2.01 ,160 ,6,13,80,10,21,128,l,12.60 ,Haiti,2000,0.99 ,116 ,5,1,94,5,1,110,l,8.53 ,Honduras,2000,0.86 ,119 ,8,12,80,10,14,95,l,7.21 ,Jamaica,2000,0.41 ,155 ,34,17,49,53,26,76,l,2.65 ,Mexico,2000,78.22 ,731 ,17,5,77,127,40,564,l,107.03 ,Nicaragua,2000,1.30 ,237 ,15,2,83,36,5,197,l,5.49 ,Panama,2000,0.82 ,254 ,67,5,28,170,13,72,l,3.23 ,St. Lucia,1997,0.01 ,81 ,-,-,-,,,,g,0.16 ,St. Vincent and the Grenadines,1995,0.01 ,83 ,-,-,-,,,,g,0.12 ,Trinidad and Tobago,2000,0.31 ,237 ,68,26,6,161,62,13,l,1.31 ,United States of America,2000,477.00 ,"1,600 ",13,46,41,203,736,660,j,298.21 ,,,,,,,,,,,, SOUTH AMERICA,Argentina,2000,29.19 ,753 ,17,9,74,128,71,558,l,38.75 ,Bolivia,2000,1.44 ,157 ,13,7,81,21,11,127,l,9.18 ,Brazil,2000,59.30 ,318 ,20,18,62,65,57,196,l,186.41 ,Chile,2000,12.55 ,770 ,11,25,64,87,194,489,l,16.30 ,Colombia,2000,10.71 ,235 ,50,4,46,118,9,108,l,45.60 ,Ecuador,2000,16.98 ,"1,283 ",12,5,82,160,68,1055,l,13.23 ,Guyana,2000,1.64 ,"2,187 ",2,1,98,37,19,2143,l,0.75 ,Paraguay,2000,0.49 ,80 ,20,8,71,16,6,56,l,6.16 ,Peru,2000,20.13 ,720 ,8,10,82,60,73,587,l,27.97 , ,Suriname,2000,0.67 ,"1,489 ",4,3,93,67,43,1379,l,0.45 , ,Uruguay,2000,3.15 ,910 ,2,1,96,22,10,878,l,3.46 , ,Venezuela,2000,8.37 ,313 ,6,7,47,19,22,149,l,26.75 , ,,,,,,,,,,,,, ASIA,Afghanistan,2000,23.26 ,779 ,2,0,98,14,0,765,l,29.86 , ,Armenia,2000,2.95 ,977 ,30,4,66,293,43,642,l,3.02 , ,Azerbaijan,2000,17.25 ,"2,051 ",5,28,68,99,567,1385,l,8.41 , ,Bahrain,2000,0.30 ,411 ,40,3,57,163,12,233,l,0.73 , ,Bangladesh,2000,79.40 ,560 ,3,1,96,18,4,538,l,141.82 , ,Bhutan,2000,0.43 ,199 ,5,1,94,10,2,187,l,2.16 , ,Brunei,1994,0.09 ,243 ,nd,nd,nd,,,,e,0.37 , ,Cambodia,2000,4.08 ,290 ,1,0,98,3,0,284,l,14.07 , ,China,2000,549.76 ,415 ,7,26,68,27,107,281,i,"1,323.35 ",Population includes Hong Kong and Macao ,Cyprus,2000,0.21 ,250 ,27,1,71,68,4,179,m,0.84 , ,Georgia,2000,3.61 ,808 ,20,21,59,161,170,477,l,4.47 , ,India,2000,645.84 ,585 ,8,5,86,47,32,506,l,"1,103.37 " ,Indonesia,2000,82.78 ,372 ,8,1,91,30,3,339,l,222.78 ,Iran,2000,72.88 ,"1,048 ",7,2,91,71,24,953,l,69.52 ,Iraq,2000,42.70 ,"1,482 ",3,5,92,47,68,1367,l,28.81 ,Israel,2000,2.05 ,305 ,31,7,62,94,20,189,l,6.73 ,Japan,2000,88.43 ,690 ,20,18,62,136,123,431,l,128.09 ,Jordan,2000,1.01 ,177 ,21,4,75,37,8,133,l,5.70 ,Kazakhstan,2000,35.00 ,"2,360 ",2,17,82,40,390,1930,l,14.83 ,Korea Democratic People's Republic,2000,9.02 ,401 ,20,25,55,80,101,220,l,22.49 ,Korea Rep,2000,18.59 ,389 ,36,16,48,139,64,186,l,47.82 ,Kuwait,2000,0.44 ,164 ,45,2,52,73,3,86,l,2.69 ,Kyrgyz Republic,2000,10.08 ,"1,916 ",3,3,94,60,59,1797,l,5.26 ,Laos,2000,3.00 ,507 ,4,6,90,22,29,457,l,5.92 ,Lebanon,2000,1.38 ,385 ,33,1,67,126,2,257,l,3.58 ,Malaysia,2000,9.02 ,356 ,17,21,62,60,75,221,l,25.35 ,Maldives,1987,0.003 ,9 ,98,2,0,9,0,0,e,0.33 ,Mongolia,2000,0.44 ,166 ,20,27,52,34,45,86,l,2.65 ,Myanmar,2000,33.23 ,658 ,1,1,98,8,4,646,l,50.52 ,Nepal,2000,10.18 ,375 ,3,1,96,11,2,362,l,27.13 ,Oman,2000,1.36 ,529 ,7,2,90,38,11,476,l,2.57 ,Pakistan,2000,169.39 ,"1,072 ",2,2,96,21,22,1030,l,157.94 ,Philippines,2000,28.52 ,343 ,17,9,74,57,32,254,l,83.05 ,Qatar,2000,0.29 ,358 ,24,3,72,86,10,257,l,0.81 ,Saudi Arabia,2000,17.32 ,705 ,10,1,89,69,8,628,l,24.57 ,Singapore,1975,0.19 ,44 ,45,51,4,20,22,2,c,4.33 ,Sri Lanka,2000,12.61 ,608 ,2,2,95,14,15,579,l,20.74 ,Syria,2000,19.95 ,"1,048 ",3,2,95,34,19,994,l,19.04 ,Tajikistan,2000,11.96 ,"1,837 ",4,5,92,68,86,1683,l,6.51 ,Thailand,2000,82.75 ,"1,288 ",2,2,95,32,32,1225,l,64.23 ,Turkey,2001,39.78 ,544 ,15,11,74,80,59,404,m,73.19 ,Turkmenistan,2000,24.65 ,"5,104 ",2,1,98,86,39,4978,l,4.83 ,United Arab Emirates,2000,2.30 ,511 ,23,9,68,118,44,349,l,4.50 ,Uzbekistan,2000,58.34 ,"2,194 ",5,2,93,104,45,2045,l,26.59 ,Vietnam,2000,71.39 ,847 ,8,24,68,66,205,577,l,84.24 ,Yemen,2000,6.63 ,316 ,4,1,95,13,2,301,l,20.98 ,,,,,,,,,,,, EUROPE,Albania,2000,1.71 ,546 ,27,11,62,146,61,339,l,3.13 ,Austria,1999,3.67 ,448 ,35,64,1,157,286,4,m,8.19 ,Belarus,2000,2.79 ,286 ,23,47,30,67,134,86,l,9.76 ,Belgium,1998,7.44 ,714 ,13,85,1,95,610,9,k,10.42 ,Bosnia and Herzegovina,,,,,,,,,,,3.91 ,Bulgaria,2003,6.92 ,895 ,3,78,19,27,700,168,m,7.73 ,Croatia,,,,,,,,,,,4.55 ,Czech Republic,2002,1.91 ,187 ,41,57,2,76,107,4,m,10.22 ,Denmark,2002,0.67 ,123 ,32,26,42,40,32,52,m,5.43 ,Estonia,2002,1.41 ,"1,060 ",56,39,5,591,418,52,m,1.33 ,Finland,1999,2.33 ,444 ,14,84,3,61,371,12,m,5.25 ,France,2000,33.16 ,548 ,16,74,10,86,408,54,m,60.50 ,Germany ,2001,38.01 ,460 ,12,68,20,57,312,91,m,82.69 ,Greece,1997,8.70 ,782 ,16,3,81,128,25,630,m,11.12 ,Hungary,2001,21.03 ,"2,082 ",9,59,32,192,1222,668,m,10.10 ,Iceland,2003,0.17 ,567 ,34,66,0,193,373,1,m,0.30 ,Ireland,1994,1.18 ,284 ,23,77,0,64,220,0,m,4.15 ,Italy,1998,41.98 ,723 ,18,37,45,131,265,326,m,58.09 ,Latvia,2003,0.25 ,108 ,55,33,12,59,35,13,m,2.31 ,Lithuania,2003,3.33 ,971 ,78,15,7,758,149,64,m,3.43 ,Luxembourg,1999,0.06 ,121 ,42,45,13,51,55,16,m,0.47 ,Macedonia,2000,2.27 ,"1,118 ",,,,,,,m,2.03 ,Malta,2000,0.02 ,50 ,74,1,25,37,0,13,m,0.40 ,Moldova,2000,2.31 ,549 ,10,58,33,55,316,181,l,4.21 ,Netherlands,2001,8.86 ,544 ,6,60,34,33,326,184,m,16.30 ,Norway,1996,2.40 ,519 ,23,67,10,118,347,54,k,4.62 ,Poland,2002,11.73 ,304 ,13,79,8,40,240,25,m,38.53 ,Portugal,1998,11.09 ,"1,056 ",10,12,78,101,128,827,m,10.50 ,Romania,2003,6.50 ,299 ,9,34,57,26,103,171,m,21.71 ,Russian Federation,2000,76.68 ,535 ,19,63,18,100,340,95,l,143.20 ,Serbia and Montenegro,,,,,,,,,,,10.50 ,Slovakia,2003,1.04 ,193 ,,,,,,,m,5.40 ,Slovenia,2002,0.90 ,457 ,,,,,,,m,1.97 ,Spain,2002,37.22 ,864 ,13,19,68,116,160,588,m,43.06 ,Sweden,2002,2.68 ,296 ,37,54,9,109,161,26,m,9.04 ,Switzerland,2002,2.52 ,348 ,24,74,2,84,257,7,m,7.25 ,Ukraine,2000,37.53 ,807 ,12,35,52,98,286,424,l,46.48 ,United Kingdom,1994,11.75 ,197 ,22,75,3,43,148,6,d,59.67 ,,,,,,,,,,,, OCEANIA,Australia,2000,24.06 ,"1,193 ",15,10,75,176,120,898,n,20.16 ,Fiji,2000,0.07 ,82 ,14,14,71,12,12,58,l,0.85 ,New Zealand,2000,2.11 ,524 ,48,9,42,251,50,220,l,4.03 ,Papua New Guinea,1987,0.10 ,17 ,56,43,1,9,7,0,c,5.89 ,Solomon Islands,1987,,,40,20,40,0,0,0,c,0.48 ,,,,,,,,,,,, Notes:,,,,,,,,,,,, ,Figures may not add to totals due to independent rounding.,,,,,,,,,,, ,2005 Population numbers: medium UN Variant,,,,,,,,,,, Sources:,,,,,,,,,,,, a.,New FAO Aquastat estimates from http://www.fao.org (March 2004): See text for details.,,,,,,,,,,, b.,World Resources Institute. 1990. World resources 1990-1991. New York: Oxford University Press. ,,,,,,,,,,, c.,"World Resources Institute. 1994. World resources 1994-1995, in collaboration with the United Nations Environment Programme and the United Nations Development Programme. New York: Oxford University Press. ",,,,,,,,,,, d.,"Eurostat Yearbook. 1997. Statistics of the European Union, EC/C/6/Ser.26GT, Luxembourg.",,,,,,,,,,, e.,"UN FAO. 1999. Irrigation in Asia in figures. Food and Agriculture Organization, United Nations, Rome, Italy.",,,,,,,,,,, f.,"Nix, H. 1995. Water/Land/Life, Water Research Foundation of Australia, Canberra.",,,,,,,,,,, g:,"UNFAO. 2000. Irrigation in Latin America and the Caribbean. Food and Agricultural Organization, United Nations, Rome, Italy.",,,,,,,,,,, h:,AQUASTAT. 2002. http://www.fao.org.,,,,,,,,,,, i.,"Ministry of Water Resources, China. 2001. Water Resources Bulletin of China, 2000. People's Republic of China, Beijing, China (September).",,,,,,,,,,, j.,"Hutson, S. S., Barber, N. L., Kenny, J. F., Linsey, K. S., Lumia, D. S., Maupin, M. A. 2004. Estimated use of water in the United States in 2000. U.S. Geological Survey, Circular 1268. Reston, Virginia.",,,,,,,,,,, k.,Eurostat. 2004. Statistics in focus. http://europa.eu.int/comm/eurostat. http://europa.eu.int/comm/eurostat/newcronos/queen/display.do?screen=detail&language=en&product=THEME8&root=THEME8_copy_151979619462/yearlies_copy_1067300085946/dd_copy_251110364103/dda_copy_649289610368/dda10512_copy_729379227605 l.,New FAO Aquastat estimates from www.fao.org (November 2005): See text for details. m.,Eurostat. 2005. Updated 7/2005. n.,"National Land and Water Resources Audit. 2001. (Note: The breakdown by sector is from old data; new data combines domestic and industry into one value (25%), thus data are maintained.)" o. ,Environment Canada. Water use in Canada in 1996. http://www.ec.gc.ca/water/en/manage/use/e_wuse.htm. Population data,Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat. 2005. World population prospects: The 2004 revision. Highlights. New York: United Nations. © 2007 Pacific Institute. May be republished with permission.,