| Table B.1 -- Water consumption, total and irrigation water |
| Region/Country |
Total water consumption (km3) |
|
Irrigation water consumption (km3) |
| |
1995 |
2010 |
2025 |
|
1995 |
2010 |
2025 |
| Ohio and Tennessee |
9.3 |
10.0 |
10.0 |
|
1.1 |
1.0 |
1.3 |
| Rio Grande |
4.8 |
4.8 |
4.8 |
|
3.2 |
2.9 |
2.9 |
| Columbia |
16.9 |
16.9 |
17.1 |
|
15.2 |
14.8 |
15.0 |
| Colorado |
16.8 |
15.9 |
16.0 |
|
13.5 |
11.9 |
11.9 |
| Great Basin |
7.2 |
7.7 |
7.8 |
|
5.8 |
6.0 |
6.1 |
| California |
29.7 |
30.4 |
31.0 |
|
25.1 |
25.2 |
25.4 |
| White-Red |
16.5 |
16.0 |
17.1 |
|
12.5 |
10.4 |
10.5 |
| Mid Atlantic |
9.3 |
10.2 |
9.9 |
|
1.1 |
1.1 |
1.3 |
| Mississippi - Downstream |
8.2 |
8.7 |
9.1 |
|
5.8 |
5.9 |
6.2 |
| Mississippi - Upstream |
5.3 |
5.6 |
5.5 |
|
1.4 |
1.4 |
1.4 |
| Great Lakes-Red |
6.6 |
7.1 |
6.9 |
|
0.9 |
1.0 |
1.0 |
| South Atlantic-Gulf |
14.7 |
16.0 |
16.8 |
|
6.4 |
6.5 |
6.9 |
| Texas-Gulf |
14.1 |
14.4 |
14.9 |
|
9.3 |
8.9 |
9.0 |
| Missouri |
25.7 |
24.6 |
24.3 |
|
22.6 |
21.2 |
20.8 |
| U.S. total |
185.1 |
188.3 |
191.2 |
|
123.8 |
118.3 |
119.8 |
| Huaihe |
30.2 |
32.9 |
36.6 |
|
24.4 |
22.3 |
22.4 |
| Haihe |
25.4 |
24.4 |
23.9 |
|
22.1 |
19.3 |
17.9 |
| Huanghe |
25.0 |
26.1 |
28.7 |
|
21.3 |
20.7 |
22.3 |
| Changjian |
101.7 |
107.9 |
115.8 |
|
82.5 |
75.7 |
77.4 |
| Songliao |
23.4 |
25.5 |
28.6 |
|
18.9 |
18.7 |
20.2 |
| Inland |
32.7 |
32.7 |
34.9 |
|
31.8 |
31.2 |
32.7 |
| Southwest |
2.8 |
3.1 |
3.8 |
|
2.3 |
2.0 |
2.2 |
| ZhuJiang |
32.9 |
34.1 |
38.1 |
|
26.6 |
23.1 |
23.3 |
| Southeast |
16.6 |
16.5 |
18.4 |
|
14.4 |
12.4 |
12.4 |
| China total |
290.7 |
303.2 |
328.8 |
|
244.2 |
225.5 |
230.9 |
| Sahyadri Ghats |
7.6 |
9.3 |
10.1 |
|
5.0 |
5.3 |
5.3 |
| Eastern Ghats |
5.4 |
7.0 |
5.7 |
|
5.0 |
6.4 |
5.0 |
| Cauvery |
6.3 |
6.5 |
6.5 |
|
5.7 |
5.5 |
5.2 |
| Godavari |
15.8 |
16.5 |
18.8 |
|
13.9 |
13.2 |
14.3 |
| Krishna |
24.3 |
25.7 |
28.3 |
|
22.6 |
22.7 |
24.5 |
| Indian-Coastal-Drain |
17.9 |
23.9 |
21.6 |
|
15.8 |
20.8 |
18.0 |
| Chotanagpur |
3.2 |
4.8 |
6.2 |
|
0.7 |
0.7 |
0.8 |
| Brahmari |
13.0 |
13.3 |
15.1 |
|
12.0 |
11.6 |
13.3 |
| Luni River Basin |
19.9 |
20.1 |
23.6 |
|
19.2 |
19.1 |
22.4 |
| Mahi-Tapti-Narmada |
17.0 |
17.8 |
18.5 |
|
15.9 |
16.0 |
16.4 |
| Brahmaputra |
2.5 |
3.2 |
4.0 |
|
0.6 |
0.5 |
0.4 |
| Indus |
79.2 |
84.1 |
90.9 |
|
77.3 |
81.1 |
86.8 |
| Ganges |
140.5 |
140.9 |
147.0 |
|
127.5 |
118.7 |
119.5 |
| India total |
352.8 |
372.9 |
396.3 |
|
321.3 |
321.6 |
331.7 |
| European Union 15 |
86.4 |
93.4 |
96.8 |
|
48.4 |
50.2 |
51.7 |
| Japan |
29.9 |
29.9 |
29.0 |
|
16.7 |
15.0 |
14.8 |
| Australia |
12.8 |
13.5 |
14.6 |
|
10.2 |
10.4 |
11.0 |
| Other developed countries |
28.4 |
29.8 |
31.6 |
|
13.7 |
13.0 |
14.0 |
| Eastern Europe |
33.9 |
39.2 |
41.9 |
|
20.6 |
21.7 |
24.8 |
| Central Asia |
82.1 |
84.6 |
87.3 |
|
77.9 |
79.2 |
80.9 |
| Rest of former Soviet Union |
63.8 |
67.3 |
72.5 |
|
38.2 |
38.4 |
40.8 |
| Mexico |
38.9 |
40.2 |
43.1 |
|
31.3 |
29.9 |
31.1 |
| Brazil |
27.8 |
34.5 |
39.0 |
|
13.6 |
14.9 |
15.3 |
| Argentina |
19.8 |
22.1 |
24.2 |
|
15.2 |
15.7 |
16.9 |
| Colombia |
3.6 |
4.7 |
5.8 |
|
0.7 |
0.8 |
0.9 |
| Other Latin America |
41.3 |
47.9 |
57.7 |
|
27.5 |
28.3 |
32.8 |
| Nigeria |
5.6 |
8.6 |
11.8 |
|
3.5 |
5.0 |
6.7 |
| Northern Sub-Saharan Africa |
30.8 |
33.7 |
37.5 |
|
27.7 |
28.6 |
29.7 |
| Central and western Sub-Saharan Africa |
5.4 |
8.1 |
11.3 |
|
2.6 |
3.1 |
3.6 |
| Southern Sub-Saharan Africa |
16.0 |
18.8 |
24.2 |
|
14.0 |
15.7 |
19.6 |
| Eastern Sub-Saharan Africa |
4.6 |
6.4 |
8.5 |
|
2.6 |
2.9 |
3.2 |
| Egypt |
27.9 |
30.0 |
31.9 |
|
25.4 |
26.4 |
27.2 |
| Turkey |
22.8 |
28.6 |
34.4 |
|
18.1 |
21.7 |
25.8 |
| Other West Asia/North Africa (WANA) |
84.4 |
88.9 |
95.9 |
|
78.1 |
79.9 |
84.2 |
| Pakistan |
123.7 |
129.2 |
133.1 |
|
118.0 |
119.9 |
120.1 |
| Bangladesh |
20.8 |
23.5 |
25.1 |
|
18.0 |
19.1 |
19.2 |
| Other South Asia |
29.3 |
32.8 |
35.8 |
|
27.2 |
29.1 |
30.0 |
| Indonesia |
40.5 |
46.4 |
52.2 |
|
29.5 |
30.3 |
30.3 |
| Thailand |
27.4 |
28.4 |
32.0 |
|
24.1 |
22.9 |
24.7 |
| Malaysia |
4.8 |
6.4 |
7.2 |
|
2.8 |
3.2 |
3.3 |
| Philippines |
20.1 |
23.7 |
27.7 |
|
15.9 |
16.4 |
17.1 |
| Viet Nam |
14.7 |
16.2 |
19.7 |
|
10.2 |
11.9 |
13.1 |
| Myanmar |
3.3 |
4.3 |
5.6 |
|
2.2 |
2.3 |
2.6 |
| Other Southeast Asia |
1.5 |
2.0 |
2.8 |
|
0.9 |
0.9 |
1.0 |
| South Korea |
9.4 |
12.5 |
12.9 |
|
4.9 |
5.7 |
6.2 |
| Other East Asia |
8.5 |
9.6 |
10.6 |
|
6.7 |
7.4 |
7.5 |
| Rest of the world |
0.2 |
0.2 |
0.3 |
|
0.1 |
0.0 |
0.0 |
| Developed countries |
440.3 |
461.3 |
477.5 |
|
271.7 |
267.1 |
276.9 |
| Developing countries |
1,358.3 |
1,468.2 |
1,603.0 |
|
1,163.8 |
1,168.3 |
1,215.5 |
| World |
1,798.6 |
1,929.5 |
2,080.5 |
|
1,435.5 |
1,435.5 |
1,492.3 |
Source: 1995 baseline data for water consumptions by sector are author estimates based on Shiklomanov (1999) and Gleick (1993) for individual countries and regions; HPDGJ (1989), Qian (1991), NIHWR (1998), and CMWR (1990-98) for river basins in China; USGS (1998) for river basins in the United States; and ESCAP (1995) and IMWR (1998-2000) for river basins in India. Livestock data are from FAO (1986), Mancl (1994), and Beckett and Oltjen (1993). 2010 and 2025 data are IMPACT-WATER projections, 2002.
Notes: Km3 indicates cubic kilometers.
|
|
| Table B.2 -- Water consumption, non-irrigation |
| Region/Country |
Domestic (km3) |
|
Industry (km3) |
|
Livestock (km3) |
|
Total Non-Irrigation (km3) |
| |
1995 |
2010 |
2025 |
|
1995 |
2010 |
2025 |
|
1995 |
2010 |
2025 |
|
1995 |
2010 |
2025 |
| Ohio and Tennessee |
1.3 |
1.3 |
1.3 |
|
6.7 |
7.4 |
7.0 |
|
0.3 |
0.3 |
0.4 |
|
8.2 |
9.0 |
8.7 |
| Rio Grande |
0.7 |
0.8 |
0.8 |
|
0.8 |
0.9 |
0.9 |
|
0.1 |
0.1 |
0.1 |
|
1.6 |
1.8 |
1.9 |
| Columbia |
1.0 |
1.2 |
1.3 |
|
0.7 |
0.9 |
0.7 |
|
0.1 |
0.1 |
0.1 |
|
1.8 |
2.1 |
2.1 |
| Colorado |
1.7 |
1.9 |
2.1 |
|
1.4 |
1.8 |
1.7 |
|
0.2 |
0.2 |
0.2 |
|
3.3 |
3.9 |
4.1 |
| Great Basin |
0.7 |
0.8 |
0.9 |
|
0.6 |
0.8 |
0.8 |
|
0.1 |
0.1 |
0.1 |
|
1.3 |
1.6 |
1.7 |
| California |
3.0 |
3.3 |
3.6 |
|
1.2 |
1.4 |
1.5 |
|
0.4 |
0.4 |
0.5 |
|
4.5 |
5.2 |
5.6 |
| White-Red |
1.8 |
2.9 |
3.5 |
|
1.5 |
1.9 |
2.2 |
|
0.7 |
0.8 |
0.9 |
|
4.1 |
5.6 |
6.6 |
| Mid Atlantic |
2.6 |
2.6 |
2.7 |
|
5.4 |
6.3 |
5.7 |
|
0.2 |
0.2 |
0.2 |
|
8.1 |
9.1 |
8.6 |
| Mississippi - Downstream |
1.1 |
1.1 |
1.2 |
|
0.9 |
1.0 |
1.0 |
|
0.5 |
0.6 |
0.7 |
|
2.5 |
2.8 |
2.9 |
| Mississippi - Upstream |
1.1 |
1.2 |
1.2 |
|
2.5 |
2.7 |
2.5 |
|
0.3 |
0.4 |
0.4 |
|
3.9 |
4.3 |
4.1 |
| Great Lakes-Red |
1.4 |
1.4 |
1.4 |
|
4.1 |
4.6 |
4.2 |
|
0.1 |
0.2 |
0.2 |
|
5.7 |
6.2 |
5.9 |
| South Atlantic-Gulf |
3.9 |
4.3 |
4.8 |
|
3.6 |
4.2 |
4.1 |
|
0.8 |
0.9 |
1.0 |
|
8.3 |
9.5 |
10.0 |
| Texas-Gulf |
2.4 |
2.6 |
2.7 |
|
2.3 |
2.8 |
3 |
|
0.1 |
0.1 |
0.1 |
|
4.8 |
5.5 |
5.9 |
| Missouri |
1.5 |
1.6 |
1.7 |
|
1.1 |
1.2 |
1.1 |
|
0.5 |
0.6 |
0.7 |
|
3.1 |
3.4 |
3.5 |
| U.S. total |
24.2 |
27.0 |
29.4 |
|
32.6 |
37.9 |
36.4 |
|
4.4 |
5.1 |
5.7 |
|
61.3 |
69.9 |
71.5 |
| Huaihe |
4.0 |
6.9 |
7.9 |
|
1.2 |
2.9 |
5.2 |
|
0.5 |
0.8 |
1.0 |
|
5.7 |
10.5 |
14.2 |
| Haihe |
1.9 |
2.8 |
3.6 |
|
1.1 |
2.0 |
1.8 |
|
0.3 |
0.4 |
0.6 |
|
3.3 |
5.1 |
6.0 |
| Huanghe |
2.4 |
3.4 |
4.0 |
|
1.0 |
1.5 |
1.8 |
|
0.3 |
0.5 |
0.7 |
|
3.7 |
5.4 |
6.5 |
| Changjian |
12.3 |
20.3 |
24.3 |
|
5.7 |
10.0 |
11.3 |
|
1.2 |
2.0 |
2.8 |
|
19.2 |
32.2 |
38.4 |
| Songliao |
2.2 |
3.2 |
3.5 |
|
2.0 |
2.9 |
4.1 |
|
0.4 |
0.6 |
0.8 |
|
4.5 |
6.7 |
8.4 |
| Inland |
0.7 |
1.2 |
1.5 |
|
0.1 |
0.2 |
0.4 |
|
0.1 |
0.2 |
0.2 |
|
0.9 |
1.5 |
2.2 |
| Southwest |
0.4 |
0.6 |
0.8 |
|
0.1 |
0.3 |
0.7 |
|
0.0 |
0.1 |
0.1 |
|
0.5 |
1.0 |
1.6 |
| ZhuJiang |
4.3 |
6.9 |
10.3 |
|
1.6 |
3.4 |
3.5 |
|
0.4 |
0.7 |
1.0 |
|
6.4 |
11.0 |
14.7 |
| Southeast |
1.9 |
2.8 |
3.5 |
|
0.3 |
1.1 |
2.2 |
|
0.1 |
0.2 |
0.3 |
|
2.3 |
4.1 |
6.0 |
| China total |
30.0 |
48.0 |
59.4 |
|
13.1 |
24.4 |
31.1 |
|
3.4 |
5.3 |
7.4 |
|
46.5 |
77.7 |
97.9 |
| Sahyadri Ghats |
1.3 |
1.8 |
2.3 |
|
0.8 |
1.5 |
1.6 |
|
0.4 |
0.6 |
0.9 |
|
2.5 |
3.9 |
4.8 |
| Eastern Ghats |
0.3 |
0.4 |
0.5 |
|
0.1 |
0.1 |
0.1 |
|
0.1 |
0.1 |
0.2 |
|
0.4 |
0.6 |
0.7 |
| Cauvery |
0.4 |
0.6 |
0.9 |
|
0.1 |
0.2 |
0.3 |
|
0.1 |
0.1 |
0.1 |
|
0.6 |
1.0 |
1.3 |
| Godavari |
1.4 |
2.2 |
3.0 |
|
0.2 |
0.6 |
0.9 |
|
0.3 |
0.4 |
0.7 |
|
1.9 |
3.3 |
4.5 |
| Krishna |
1.2 |
1.9 |
2.5 |
|
0.3 |
0.7 |
0.6 |
|
0.3 |
0.5 |
0.7 |
|
1.8 |
3.0 |
3.8 |
| Indian-Coastal-Drain |
1.1 |
1.3 |
1.5 |
|
0.8 |
1.4 |
1.5 |
|
0.3 |
0.4 |
0.6 |
|
2.1 |
3.2 |
3.7 |
| Chotanagpur |
1.9 |
2.8 |
3.4 |
|
0.6 |
1.3 |
2.0 |
|
0.0 |
0.0 |
0.0 |
|
2.5 |
4.0 |
5.4 |
| Brahmari |
0.9 |
1.2 |
1.5 |
|
0.2 |
0.3 |
0.3 |
|
0.1 |
0.1 |
0.1 |
|
1.1 |
1.6 |
1.9 |
| Luni River Basin |
0.7 |
0.8 |
1.0 |
|
0.1 |
0.1 |
0.1 |
|
0.0 |
0.0 |
0.0 |
|
0.8 |
1.0 |
1.1 |
| Mahi-Tapti-Narmada |
0.9 |
1.3 |
1.5 |
|
0.2 |
0.4 |
0.5 |
|
0.1 |
0.1 |
0.1 |
|
1.1 |
1.8 |
2.1 |
| Brahmaputra |
0.6 |
0.8 |
1.0 |
|
0.4 |
0.5 |
0.6 |
|
0.8 |
1.3 |
2.1 |
|
1.9 |
2.7 |
3.6 |
| Indus |
0.9 |
1.4 |
1.8 |
|
0.4 |
0.6 |
0.7 |
|
0.6 |
1.0 |
1.6 |
|
1.9 |
3.0 |
4.1 |
| Ganges |
9.6 |
15.6 |
20.1 |
|
3.0 |
6.0 |
6.5 |
|
0.4 |
0.6 |
1.0 |
|
13.0 |
22.2 |
27.6 |
| India total |
21.0 |
32.1 |
40.9 |
|
7.2 |
13.8 |
15.7 |
|
3.3 |
5.3 |
8.1 |
|
31.5 |
51.3 |
64.7 |
| European Union 15 |
12.5 |
13.1 |
13.3 |
|
21.0 |
25.2 |
26.8 |
|
4.6 |
4.9 |
5.0 |
|
38.0 |
43.2 |
45.1 |
| Japan |
3.4 |
3.6 |
3.6 |
|
9.5 |
10.9 |
10.3 |
|
0.3 |
0.3 |
0.3 |
|
13.2 |
14.8 |
14.2 |
| Australia |
0.5 |
0.6 |
0.7 |
|
1.2 |
1.4 |
1.5 |
|
0.9 |
1.1 |
1.3 |
|
2.6 |
3.1 |
3.6 |
| Other developed countries |
6.0 |
6.8 |
7.2 |
|
7.0 |
8.1 |
8.4 |
|
1.7 |
1.9 |
2.0 |
|
14.7 |
16.7 |
17.6 |
| Eastern Europe |
2.9 |
3.3 |
3.6 |
|
9.0 |
12.7 |
11.9 |
|
1.4 |
1.5 |
1.6 |
|
13.3 |
17.5 |
17.0 |
| Central Asia |
1.6 |
2.1 |
2.6 |
|
1.7 |
2.2 |
2.5 |
|
0.9 |
1.1 |
1.3 |
|
4.2 |
5.4 |
6.4 |
| Rest of former Soviet Union |
9.1 |
10.1 |
10.9 |
|
14.4 |
16.7 |
18.6 |
|
2.1 |
2.1 |
2.2 |
|
25.6 |
28.9 |
31.6 |
| Mexico |
3.1 |
4.2 |
4.9 |
|
3.5 |
4.8 |
5.4 |
|
0.9 |
1.3 |
1.8 |
|
7.5 |
10.3 |
12.1 |
| Brazil |
5.7 |
7.8 |
9.6 |
|
6.1 |
8.5 |
9.7 |
|
2.5 |
3.4 |
4.4 |
|
14.2 |
19.6 |
23.7 |
| Argentina |
1.1 |
1.5 |
1.7 |
|
2 |
3.1 |
3.3 |
|
1.4 |
1.8 |
2.2 |
|
4.6 |
6.4 |
7.3 |
| Colombia |
1.5 |
2.1 |
2.6 |
|
0.5 |
0.7 |
0.9 |
|
0.8 |
1.1 |
1.4 |
|
2.9 |
3.9 |
4.9 |
| Other Latin America |
6.7 |
9.5 |
11.8 |
|
5.7 |
8.2 |
10.5 |
|
1.3 |
1.9 |
2.6 |
|
13.7 |
19.5 |
25 |
| Nigeria |
1.7 |
2.8 |
3.8 |
|
0.2 |
0.4 |
0.7 |
|
0.2 |
0.4 |
0.6 |
|
2.1 |
3.6 |
5.1 |
| Northern Sub-Saharan Africa |
2.4 |
3.9 |
5.9 |
|
0.2 |
0.3 |
0.5 |
|
0.5 |
0.9 |
1.3 |
|
3.1 |
5.1 |
7.8 |
| Central and western Sub-Saharan Africa |
2.4 |
4.2 |
6.4 |
|
0.2 |
0.4 |
0.6 |
|
0.2 |
0.4 |
0.6 |
|
2.8 |
5.0 |
7.7 |
| Southern Sub-Saharan Africa |
1.5 |
2.3 |
3.4 |
|
0.2 |
0.3 |
0.5 |
|
0.3 |
0.5 |
0.7 |
|
2.0 |
3.1 |
4.6 |
| Eastern Sub-Saharan Africa |
1.6 |
2.8 |
4.3 |
|
0.1 |
0.1 |
0.2 |
|
0.3 |
0.5 |
0.8 |
|
2.0 |
3.5 |
5.3 |
| Egypt |
1.6 |
2.3 |
2.9 |
|
0.7 |
1.1 |
1.5 |
|
0.2 |
0.2 |
0.3 |
|
2.5 |
3.6 |
4.7 |
| Turkey |
2.1 |
3.1 |
4.0 |
|
1.9 |
2.9 |
3.6 |
|
0.7 |
0.9 |
1.1 |
|
4.7 |
6.9 |
8.7 |
| Other West Asia/North Africa (WANA) |
3.4 |
4.8 |
6.3 |
|
2.0 |
2.9 |
3.5 |
|
0.9 |
1.3 |
1.9 |
|
6.2 |
9.0 |
11.7 |
| Pakistan |
3.1 |
5.1 |
7.0 |
|
1.6 |
2.7 |
3.9 |
|
0.9 |
1.4 |
2.1 |
|
5.7 |
9.2 |
13.0 |
| Bangladesh |
2.3 |
3.6 |
4.7 |
|
0.2 |
0.3 |
0.5 |
|
0.3 |
0.5 |
0.8 |
|
2.8 |
4.4 |
5.9 |
| Other South Asia |
1.6 |
2.8 |
4.6 |
|
0.1 |
0.2 |
0.3 |
|
0.5 |
0.7 |
1.0 |
|
2.2 |
3.7 |
5.8 |
| Indonesia |
6.9 |
9.5 |
13.5 |
|
3.6 |
5.7 |
7.1 |
|
0.6 |
0.9 |
1.3 |
|
11 |
16.1 |
22.0 |
| Thailand |
1.9 |
3.1 |
4.3 |
|
1.1 |
1.9 |
2.5 |
|
0.2 |
0.4 |
0.6 |
|
3.3 |
5.4 |
7.3 |
| Malaysia |
1.0 |
1.5 |
2.0 |
|
0.9 |
1.6 |
1.9 |
|
0.1 |
0.1 |
0.1 |
|
1.9 |
3.2 |
4.0 |
| Philippines |
1.3 |
2.1 |
3.0 |
|
2.8 |
4.9 |
7.3 |
|
0.2 |
0.3 |
0.4 |
|
4.2 |
7.3 |
10.7 |
| Viet Nam |
1.8 |
3.2 |
4.5 |
|
2.5 |
0.7 |
1.4 |
|
0.3 |
0.4 |
0.6 |
|
4.6 |
4.3 |
6.6 |
| Myanmar |
0.7 |
1.4 |
2.1 |
|
0.1 |
0.1 |
0.2 |
|
0.3 |
0.5 |
0.7 |
|
1.1 |
2.0 |
3.0 |
| Other Southeast Asia |
0.4 |
0.6 |
1.0 |
|
0.2 |
0.3 |
0.5 |
|
0.1 |
0.2 |
0.3 |
|
0.7 |
1.1 |
1.8 |
| South Korea |
1.6 |
2.0 |
2.3 |
|
2.7 |
4.5 |
4.2 |
|
0.2 |
0.2 |
0.3 |
|
4.5 |
6.8 |
6.8 |
| Other East Asia |
0.7 |
1.1 |
1.4 |
|
0.9 |
0.9 |
1.4 |
|
0.2 |
0.2 |
0.3 |
|
1.8 |
2.2 |
3.0 |
| Rest of the world |
0.1 |
0.1 |
0.2 |
|
0.0 |
0.0 |
0.0 |
|
0.0 |
0.1 |
0.1 |
|
0.1 |
0.2 |
0.3 |
| Developed countries |
58.7 |
64.5 |
68.6 |
|
94.7 |
112.8 |
113.8 |
|
15.3 |
16.9 |
18.2 |
|
168.6 |
194.2 |
200.6 |
| Developing countries |
110.6 |
169.5 |
221.0 |
|
62.2 |
98.3 |
121.4 |
|
21.8 |
32.1 |
45.2 |
|
194.5 |
299.9 |
387.6 |
| World |
169.2 |
234.0 |
289.6 |
|
156.9 |
211.0 |
235.2 |
|
37.0 |
49.0 |
63.4 |
|
363.1 |
494.1 |
588.2 |
Source: 1995 baseline data for water consumptions by sector are author estimates based on Shiklomanov (1999) and Gleick (1993) for individual countries and regions; HPDGJ (1989), Qian (1991), NIHWR (1998), and CMWR (1990-98) for river basins in China; USGS (1998) for river basins in the United States; and ESCAP (1995) and IMWR (1998-2000) for river basins in India. Livestock data are from FAO (1986), Mancl (1994), and Beckett and Oltjen (1993). 2010 and 2025 data are IMPACT-WATER projections, 2002.
Notes: Km3 indicates cubic kilometers.
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