 |
 |
|
|
 |
|
|
 |
 |
|
Eradicate extreme
poverty
and hunger |
|
|
|
Share of poorest quintile in national consumption or income
% |
 |
Prevalence of child malnutrition
Underweight
% of children
under age 5 |
|
1992- 2004b,c |
  |
|
1989- 1994b |
 |
2000- 2004b |
|
|
|
 |
|
Achieve universal primary education |
|
|
|
|
|
|
Primary completion ratea
% |
|
|
|
1991 |
  |
2004 |
|
|
 |
|
Promote gender equality |

|
|
Ratio of female to male enrollments in primary
and secondary schoola %
|
|
1991 |
 |
2004 |
|
|
|
 |
|
Reduce child mortality |
| |
| |
|
Under-five mortality rate
per 1,000
live births |
| |
|
1990 |
 |
2004 |
|
|
|
 |
|
Improve maternal health |
|
|
|
|
|
Maternal mortality ratio
Modeled estimates per 100,000 live births
|
 |
Births attended by
skilled health staff
% of total
|
|
2000 |
  |
|
1989-94b |
 |
2000-04b |
|
|
|
|
| |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
| East Asia & Pacificd |
 |
|
 |
19 w |
 |
12 w |
 |
97 w |
 |
99 w |
 |
89 w |
 |
98 w |
 |
59 w |
 |
37 w |
 |
117 w |
 |
.. w |
 |
86 w |
| Cambodia |
 |
6.9 |
 |
.. |
 |
45 |
 |
.. |
 |
82 |
 |
73 |
 |
85 |
 |
115 |
 |
141 |
 |
450 |
 |
.. |
 |
32 |
| China |
 |
4.7 |
 |
17 |
 |
8 |
 |
103 |
 |
99 |
 |
87 |
 |
98 |
 |
49 |
 |
31 |
 |
56 |
 |
.. |
 |
96 |
| Hong Kong, China |
 |
5.3 |
 |
.. |
 |
.. |
 |
102 |
 |
111 |
 |
103 |
 |
95 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
| Indonesia |
 |
8.4 |
 |
.. |
 |
28 |
 |
91 |
 |
101 |
 |
93 |
 |
98 |
 |
91 |
 |
38 |
 |
230 |
 |
37 |
 |
72 |
| Korea, Dem. Rep. |
 |
.. |
 |
.. |
 |
24 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
55 |
 |
55 |
 |
67 |
 |
.. |
 |
97 |
| Lao PDR |
 |
8.1 |
 |
40 |
 |
40 |
 |
43 |
 |
74 |
 |
75 |
 |
84 |
 |
163 |
 |
83 |
 |
650 |
 |
.. |
 |
19 |
| Malaysia |
 |
4.4 |
 |
22 |
 |
11 |
 |
90 |
 |
95 |
 |
101 |
 |
105 |
 |
22 |
 |
12 |
 |
41 |
 |
.. |
 |
97 |
| Mongolia |
 |
5.6 |
 |
12 |
 |
13 |
 |
.. |
 |
95 |
 |
109 |
 |
108 |
 |
108 |
 |
52 |
 |
110 |
 |
.. |
 |
99 |
| Myanmar |
 |
.. |
 |
31 |
 |
32 |
 |
.. |
 |
72 |
 |
96 |
 |
99 |
 |
130 |
 |
106 |
 |
360 |
 |
.. |
 |
57 |
| Papua New Guinea |
 |
4.5 |
 |
.. |
 |
.. |
 |
50 |
 |
55 |
 |
80 |
 |
87 |
 |
101 |
 |
93 |
 |
300 |
 |
.. |
 |
41 |
| Philippines |
 |
5.4 |
 |
30 |
 |
28 |
 |
86 |
 |
98 |
 |
100 |
 |
102 |
 |
62 |
 |
34 |
 |
200 |
 |
53 |
 |
60 |
| Thailand |
 |
6.3 |
 |
19 |
 |
.. |
 |
.. |
 |
.. |
 |
95 |
 |
98 |
 |
37 |
 |
21 |
 |
44 |
 |
.. |
 |
99 |
| Vietnam |
 |
7.5 |
 |
45 |
 |
28 |
 |
.. |
 |
101 |
 |
.. |
 |
94 |
 |
53 |
 |
23 |
 |
130 |
 |
.. |
 |
90 |
| Europe & Central Asia |
 |
|
 |
.. w |
 |
.. w |
 |
92 w |
 |
94 w |
 |
97 w |
 |
96 w |
 |
49 w |
 |
34 w |
 |
58 w |
 |
.. w |
 |
94 w |
| Albania |
 |
9.1 |
 |
.. |
 |
14 |
 |
.. |
 |
99 |
 |
96 |
 |
97 |
 |
45 |
 |
19 |
 |
55 |
 |
.. |
 |
98 |
| Armenia |
 |
8.5 |
 |
.. |
 |
3 |
 |
90 |
 |
107 |
 |
.. |
 |
103 |
 |
60 |
 |
32 |
 |
55 |
 |
.. |
 |
97 |
| Azerbaijan |
 |
12.2 |
 |
.. |
 |
7 |
 |
.. |
 |
96 |
 |
100 |
 |
97 |
 |
105 |
 |
90 |
 |
94 |
 |
.. |
 |
84 |
| Belarus |
 |
8.5 |
 |
.. |
 |
.. |
 |
95 |
 |
101 |
 |
.. |
 |
100 |
 |
17 |
 |
11 |
 |
35 |
 |
.. |
 |
100 |
| Bosnia and Herzegovina |
 |
9.5 |
 |
.. |
 |
4 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
22 |
 |
15 |
 |
31 |
 |
97 |
 |
100 |
| Bulgaria |
 |
8.7 |
 |
.. |
 |
.. |
 |
90 |
 |
97 |
 |
99 |
 |
97 |
 |
19 |
 |
15 |
 |
32 |
 |
.. |
 |
99 |
| Croatia |
 |
8.3 |
 |
1 |
 |
.. |
 |
85 |
 |
91 |
 |
102 |
 |
101 |
 |
12 |
 |
7 |
 |
8 |
 |
.. |
 |
100 |
| Czech Republic |
 |
10.3 |
 |
1 |
 |
.. |
 |
.. |
 |
102 |
 |
98 |
 |
101 |
 |
13 |
 |
4 |
 |
9 |
 |
.. |
 |
100 |
| Estonia |
 |
6.7 |
 |
.. |
 |
.. |
 |
93 |
 |
103 |
 |
104 |
 |
100 |
 |
16 |
 |
8 |
 |
63 |
 |
.. |
 |
100 |
| Georgia |
 |
5.6 |
 |
.. |
 |
.. |
 |
.. |
 |
86 |
 |
98 |
 |
99 |
 |
47 |
 |
45 |
 |
32 |
 |
.. |
 |
.. |
| Hungary |
 |
9.5 |
 |
.. |
 |
.. |
 |
82 |
 |
96 |
 |
100 |
 |
100 |
 |
17 |
 |
8 |
 |
16 |
 |
.. |
 |
100 |
| Kazakhstan |
 |
7.4 |
 |
.. |
 |
.. |
 |
.. |
 |
110 |
 |
102 |
 |
98 |
 |
63 |
 |
73 |
 |
210 |
 |
.. |
 |
.. |
| Kyrgyz Republic |
 |
8.9 |
 |
.. |
 |
7 |
 |
.. |
 |
93 |
 |
.. |
 |
101 |
 |
80 |
 |
68 |
 |
110 |
 |
.. |
 |
99 |
| Latvia |
 |
6.6 |
 |
.. |
 |
.. |
 |
.. |
 |
98 |
 |
100 |
 |
99 |
 |
18 |
 |
12 |
 |
42 |
 |
.. |
 |
.. |
| Lithuania |
 |
6.8 |
 |
.. |
 |
.. |
 |
89 |
 |
105 |
 |
.. |
 |
98 |
 |
13 |
 |
8 |
 |
13 |
 |
.. |
 |
100 |
| Macedonia, FYR |
 |
6.1 |
 |
.. |
 |
.. |
 |
98 |
 |
97 |
 |
99 |
 |
99 |
 |
38 |
 |
14 |
 |
23 |
 |
.. |
 |
99 |
| Moldova |
 |
7.8 |
 |
.. |
 |
.. |
 |
.. |
 |
83 |
 |
105 |
 |
102 |
 |
40 |
 |
28 |
 |
36 |
 |
.. |
 |
.. |
| Poland |
 |
7.5 |
 |
.. |
 |
.. |
 |
96 |
 |
100 |
 |
101 |
 |
97 |
 |
18 |
 |
8 |
 |
13 |
 |
.. |
 |
100 |
| Romania |
 |
8.1 |
 |
6 |
 |
3 |
 |
96 |
 |
90 |
 |
99 |
 |
100 |
 |
31 |
 |
20 |
 |
49 |
 |
99 |
 |
99 |
| Russian Federation |
 |
6.1 |
 |
4 |
 |
6 |
 |
93 |
 |
.. |
 |
104 |
 |
99 |
 |
29 |
 |
21 |
 |
67 |
 |
.. |
 |
99 |
| Serbia and Montenegro |
 |
.. |
 |
.. |
 |
2 |
 |
71 |
 |
96 |
 |
103 |
 |
101 |
 |
28 |
 |
15 |
 |
11 |
 |
.. |
 |
93 |
| Slovak Republic |
 |
8.8 |
 |
.. |
 |
.. |
 |
96 |
 |
101 |
 |
.. |
 |
100 |
 |
14 |
 |
9 |
 |
3 |
 |
.. |
 |
99 |
| Tajikistan |
 |
7.9 |
 |
.. |
 |
.. |
 |
.. |
 |
92 |
 |
.. |
 |
88 |
 |
119 |
 |
93 |
 |
100 |
 |
.. |
 |
71 |
| Turkey |
 |
5.3 |
 |
10 |
 |
4 |
 |
90 |
 |
.. |
 |
81 |
 |
85 |
 |
82 |
 |
32 |
 |
70 |
 |
76 |
 |
83 |
| Turkmenistan |
 |
6.1 |
 |
.. |
 |
12 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
97 |
 |
103 |
 |
31 |
 |
.. |
 |
97 |
| Ukraine |
 |
9.2 |
 |
.. |
 |
1 |
 |
92 |
 |
91 |
 |
.. |
 |
99 |
 |
26 |
 |
18 |
 |
35 |
 |
.. |
 |
100 |
| Uzbekistan |
 |
9.2 |
 |
.. |
 |
8 |
 |
.. |
 |
98 |
 |
94 |
 |
98 |
 |
79 |
 |
69 |
 |
24 |
 |
.. |
 |
96 |
| Latin America & Carib. |
 |
|
 |
.. w |
 |
.. w |
 |
86 w |
 |
97 w |
 |
.. w |
 |
102 w |
 |
54 w |
 |
31 w |
 |
194 w |
 |
77 w |
 |
87 w |
| Argentina |
 |
3.2e |
 |
2 |
 |
.. |
 |
.. |
 |
102 |
 |
.. |
 |
103 |
 |
29 |
 |
18 |
 |
82 |
 |
96 |
 |
99 |
| Bolivia |
 |
1.5 |
 |
15 |
 |
8 |
 |
71 |
 |
100 |
 |
.. |
 |
98 |
 |
125 |
 |
69 |
 |
420 |
 |
47 |
 |
67 |
| Brazil |
 |
2.6 |
 |
7 |
 |
.. |
 |
93 |
 |
111 |
 |
.. |
 |
103 |
 |
60 |
 |
34 |
 |
260 |
 |
72 |
 |
96 |
| Chile |
 |
3.3 |
 |
1 |
 |
1 |
 |
.. |
 |
97 |
 |
100 |
 |
99 |
 |
21 |
 |
8 |
 |
31 |
 |
100 |
 |
100 |
| Colombia |
 |
2.5 |
 |
10 |
 |
7 |
 |
71 |
 |
94 |
 |
107 |
 |
104 |
 |
36 |
 |
21 |
 |
130 |
 |
82 |
 |
86 |
| Costa Rica |
 |
3.9 |
 |
2 |
 |
.. |
 |
74 |
 |
92 |
 |
101 |
 |
101 |
 |
18 |
 |
13 |
 |
43 |
 |
98 |
 |
98 |
| Cuba |
 |
.. |
 |
.. |
 |
4 |
 |
96 |
 |
93 |
 |
106 |
 |
98 |
 |
13 |
 |
7 |
 |
33 |
 |
100 |
 |
100 |
| Dominican Republic |
 |
3.9 |
 |
10 |
 |
5 |
 |
61 |
 |
91 |
 |
.. |
 |
105 |
 |
65 |
 |
32 |
 |
150 |
 |
93 |
 |
98 |
| Ecuador |
 |
3.3 |
 |
.. |
 |
12 |
 |
91 |
 |
101 |
 |
.. |
 |
100 |
 |
57 |
 |
26 |
 |
130 |
 |
.. |
 |
.. |
| El Salvador |
 |
2.7 |
 |
11 |
 |
10 |
 |
41 |
 |
84 |
 |
102 |
 |
98 |
 |
60 |
 |
28 |
 |
150 |
 |
51 |
 |
92 |
| Guatemala |
 |
2.9 |
 |
.. |
 |
23 |
 |
.. |
 |
70 |
 |
.. |
 |
91 |
 |
82 |
 |
45 |
 |
240 |
 |
.. |
 |
41 |
| Haiti |
 |
2.4 |
 |
27 |
 |
17 |
 |
27 |
 |
.. |
 |
95 |
 |
.. |
 |
150 |
 |
117 |
 |
680 |
 |
23 |
 |
24 |
| Honduras |
 |
3.4 |
 |
18 |
 |
17 |
 |
65 |
 |
79 |
 |
108 |
 |
.. |
 |
59 |
 |
41 |
 |
110 |
 |
45 |
 |
56 |
| Jamaica |
 |
6.7 |
 |
5 |
 |
4 |
 |
90 |
 |
84 |
 |
102 |
 |
101 |
 |
20 |
 |
20 |
 |
87 |
 |
79 |
 |
97 |
| Mexico |
 |
4.3 |
 |
17 |
 |
.. |
 |
86 |
 |
97 |
 |
98 |
 |
102 |
 |
46 |
 |
28 |
 |
83 |
 |
.. |
 |
95 |
| Nicaragua |
 |
5.6 |
 |
11 |
 |
10 |
 |
41 |
 |
73 |
 |
109 |
 |
103 |
 |
68 |
 |
38 |
 |
230 |
 |
.. |
 |
67 |
| Panama |
 |
2.5 |
 |
6 |
 |
.. |
 |
86 |
 |
97 |
 |
.. |
 |
101 |
 |
34 |
 |
24 |
 |
160 |
 |
86 |
 |
93 |
| Paraguay |
 |
2.2 |
 |
4 |
 |
5 |
 |
65 |
 |
89 |
 |
99 |
 |
98 |
 |
41 |
 |
24 |
 |
170 |
 |
67 |
 |
77 |
| Peru |
 |
3.2 |
 |
11 |
 |
7 |
 |
.. |
 |
96 |
 |
96 |
 |
97 |
 |
80 |
 |
29 |
 |
410 |
 |
.. |
 |
59 |
| Trinidad and Tobago |
 |
5.5 |
 |
.. |
 |
6 |
 |
100 |
 |
94 |
 |
101 |
 |
101 |
 |
33 |
 |
20 |
 |
160 |
 |
.. |
 |
96 |
| Uruguay |
 |
5.0e |
 |
4 |
 |
.. |
 |
95 |
 |
94 |
 |
.. |
 |
105 |
 |
25 |
 |
17 |
 |
27 |
 |
.. |
 |
.. |
| Venezuela, RB |
 |
4.7 |
 |
5 |
 |
4 |
 |
81 |
 |
89 |
 |
105 |
 |
103 |
 |
27 |
 |
19 |
 |
96 |
 |
.. |
 |
94 |
| Middle East & N. Africa |
 |
|
 |
.. w |
 |
.. w |
 |
78 w |
 |
88 w |
 |
81 w |
 |
90 w |
 |
81 w |
 |
55 w |
 |
183 w |
 |
42 w |
 |
72 w |
| Algeria |
 |
7.0 |
 |
9 |
 |
10 |
 |
79 |
 |
94 |
 |
83 |
 |
99 |
 |
69 |
 |
40 |
 |
140 |
 |
77 |
 |
96 |
| Egypt, Arab Rep. |
 |
8.6 |
 |
10 |
 |
9 |
 |
.. |
 |
93 |
 |
81 |
 |
94 |
 |
104 |
 |
36 |
 |
84 |
 |
41 |
 |
69 |
| Iran, Islamic Rep. |
 |
5.1 |
 |
.. |
 |
.. |
 |
91 |
 |
95 |
 |
85 |
 |
100 |
 |
72 |
 |
38 |
 |
76 |
 |
.. |
 |
90 |
| Iraq |
 |
.. |
 |
12 |
 |
16 |
 |
59 |
 |
74 |
 |
78 |
 |
78 |
 |
50 |
 |
.. |
 |
250 |
 |
54 |
 |
72 |
| Jordan |
 |
6.7 |
 |
6 |
 |
4 |
 |
101 |
 |
97 |
 |
101 |
 |
101 |
 |
40 |
 |
27 |
 |
41 |
 |
87 |
 |
100 |
| Lebanon |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
94 |
 |
.. |
 |
102 |
 |
37 |
 |
31 |
 |
150 |
 |
.. |
 |
.. |
| Libya |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
103 |
 |
41 |
 |
20 |
 |
97 |
 |
.. |
 |
.. |
| Morocco |
 |
6.5 |
 |
10 |
 |
10 |
 |
46 |
 |
67 |
 |
70 |
 |
88 |
 |
89 |
 |
43 |
 |
220 |
 |
31 |
 |
63 |
| Oman |
 |
.. |
 |
24 |
 |
.. |
 |
74 |
 |
91 |
 |
89 |
 |
98 |
 |
32 |
 |
13 |
 |
87 |
 |
.. |
 |
95 |
| Syrian Arab Republic |
 |
.. |
 |
12 |
 |
7 |
 |
89 |
 |
107 |
 |
85 |
 |
94 |
 |
44 |
 |
16 |
 |
160 |
 |
77 |
 |
.. |
| Tunisia |
 |
6.0 |
 |
.. |
 |
4 |
 |
74 |
 |
94 |
 |
86 |
 |
102 |
 |
52 |
 |
25 |
 |
120 |
 |
.. |
 |
90 |
| West Bank and Gaza |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
98 |
 |
.. |
 |
103 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
97 |
| Yemen, Rep. |
 |
7.4 |
 |
39 |
 |
46 |
 |
.. |
 |
62 |
 |
.. |
 |
63 |
 |
142 |
 |
111 |
 |
570 |
 |
16 |
 |
27 |
| South Asia |
 |
|
 |
53 w |
 |
.. w |
 |
73 w |
 |
82 w |
 |
71 w |
 |
87 w |
 |
129 w |
 |
92 w |
 |
564 w |
 |
.. w |
 |
36 w |
| Afghanistan |
 |
.. |
 |
.. |
 |
39 |
 |
25 |
 |
.. |
 |
54 |
 |
34 |
 |
260 |
 |
.. |
 |
1,900 |
 |
.. |
 |
14 |
| Bangladesh |
 |
9.0 |
 |
68 |
 |
48 |
 |
49 |
 |
73 |
 |
.. |
 |
106 |
 |
149 |
 |
77 |
 |
380 |
 |
10 |
 |
13 |
| India |
 |
8.9 |
 |
53 |
 |
.. |
 |
.. |
 |
84 |
 |
70 |
 |
88 |
 |
123 |
 |
85 |
 |
540 |
 |
34 |
 |
43 |
| Nepal |
 |
6.0 |
 |
.. |
 |
48 |
 |
51 |
 |
71 |
 |
59 |
 |
85 |
 |
145 |
 |
76 |
 |
740 |
 |
7 |
 |
15 |
| Pakistan |
 |
9.3 |
 |
40 |
 |
38 |
 |
.. |
 |
.. |
 |
.. |
 |
73 |
 |
130 |
 |
101 |
 |
500 |
 |
19 |
 |
23 |
| Sri Lanka |
 |
8.3 |
 |
38 |
 |
30 |
 |
94 |
 |
.. |
 |
102 |
 |
102 |
 |
32 |
 |
14 |
 |
92 |
 |
94 |
 |
96 |
| Sub-Saharan Africa |
 |
|
 |
.. w |
 |
.. w |
 |
51 w |
 |
62 w |
 |
80 w |
 |
84 w |
 |
185 w |
 |
168 w |
 |
921 w |
 |
41 w |
 |
42 w |
| Angola |
 |
.. |
 |
20 |
 |
31 |
 |
35 |
 |
.. |
 |
.. |
 |
.. |
 |
260 |
 |
260 |
 |
1,700 |
 |
.. |
 |
45 |
| Benin |
 |
7.4 |
 |
.. |
 |
23 |
 |
21 |
 |
49 |
 |
49 |
 |
71 |
 |
185 |
 |
152 |
 |
850 |
 |
.. |
 |
66 |
| Botswana |
 |
2.2 |
 |
.. |
 |
13 |
 |
79 |
 |
92 |
 |
109 |
 |
102 |
 |
58 |
 |
116 |
 |
100 |
 |
.. |
 |
94 |
| Burkina Faso |
 |
6.9 |
 |
33 |
 |
38 |
 |
21 |
 |
29 |
 |
62 |
 |
76 |
 |
210 |
 |
192 |
 |
1,000 |
 |
42 |
 |
38 |
| Burundi |
 |
5.1 |
 |
.. |
 |
45 |
 |
46 |
 |
33 |
 |
82 |
 |
82 |
 |
190 |
 |
190 |
 |
1,000 |
 |
.. |
 |
25 |
| Cameroon |
 |
5.6 |
 |
15 |
 |
18 |
 |
56 |
 |
72 |
 |
83 |
 |
87 |
 |
139 |
 |
149 |
 |
730 |
 |
58 |
 |
62 |
| Central African Republic |
 |
2.0 |
 |
.. |
 |
24 |
 |
27 |
 |
.. |
 |
60 |
 |
.. |
 |
168 |
 |
193 |
 |
1,100 |
 |
.. |
 |
44 |
| Chad |
 |
.. |
 |
.. |
 |
37 |
 |
18 |
 |
29 |
 |
41 |
 |
58 |
 |
203 |
 |
200 |
 |
1,100 |
 |
.. |
 |
14 |
| Congo, Dem. Rep. |
 |
.. |
 |
.. |
 |
31 |
 |
46 |
 |
.. |
 |
.. |
 |
.. |
 |
205 |
 |
205 |
 |
990 |
 |
.. |
 |
61 |
| Congo, Rep. |
 |
.. |
 |
.. |
 |
.. |
 |
54 |
 |
66 |
 |
85 |
 |
87 |
 |
110 |
 |
108 |
 |
510 |
 |
.. |
 |
.. |
| Côte d’Ivoire |
 |
5.2 |
 |
24 |
 |
17 |
 |
43 |
 |
43 |
 |
65 |
 |
68 |
 |
157 |
 |
194 |
 |
690 |
 |
45 |
 |
68 |
| Eritrea |
 |
.. |
 |
41 |
 |
40 |
 |
19 |
 |
44 |
 |
.. |
 |
73 |
 |
147 |
 |
82 |
 |
630 |
 |
.. |
 |
28 |
| Ethiopia |
 |
9.1 |
 |
48 |
 |
47 |
 |
21 |
 |
51 |
 |
68 |
 |
73 |
 |
204 |
 |
166 |
 |
850 |
 |
.. |
 |
6 |
| Gabon |
 |
.. |
 |
.. |
 |
12 |
 |
58 |
 |
66 |
 |
.. |
 |
.. |
 |
92 |
 |
91 |
 |
420 |
 |
.. |
 |
86 |
| Gambia, The |
 |
4.8 |
 |
.. |
 |
17 |
 |
44 |
 |
.. |
 |
64 |
 |
85 |
 |
154 |
 |
122 |
 |
540 |
 |
44 |
 |
55 |
| Ghana |
 |
5.6 |
 |
27 |
 |
22 |
 |
63 |
 |
65 |
 |
79 |
 |
91 |
 |
122 |
 |
112 |
 |
540 |
 |
44 |
 |
47 |
| Guinea |
 |
6.4 |
 |
27 |
 |
33 |
 |
17 |
 |
48 |
 |
46 |
 |
72 |
 |
240 |
 |
155 |
 |
740 |
 |
31 |
 |
56 |
| Guinea-Bissau |
 |
5.2 |
 |
.. |
 |
25 |
 |
.. |
 |
27 |
 |
.. |
 |
65 |
 |
253 |
 |
203 |
 |
1,100 |
 |
.. |
 |
35 |
| Kenya |
 |
6.0 |
 |
23 |
 |
20 |
 |
.. |
 |
89 |
 |
94 |
 |
94 |
 |
97 |
 |
120 |
 |
1,000 |
 |
45 |
 |
42 |
| Lesotho |
 |
1.5 |
 |
21 |
 |
18 |
 |
58 |
 |
71 |
 |
124 |
 |
104 |
 |
104 |
 |
112 |
 |
550 |
 |
50 |
 |
60 |
| Liberia |
 |
.. |
 |
.. |
 |
27 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
235 |
 |
235 |
 |
760 |
 |
.. |
 |
51 |
| Madagascar |
 |
4.9 |
 |
45 |
 |
42 |
 |
33 |
 |
45 |
 |
98 |
 |
.. |
 |
168 |
 |
123 |
 |
550 |
 |
57 |
 |
51 |
| Malawi |
 |
4.9 |
 |
28 |
 |
22 |
 |
31 |
 |
58 |
 |
81 |
 |
98 |
 |
241 |
 |
175 |
 |
1,800 |
 |
55 |
 |
61 |
| Mali |
 |
4.6 |
 |
.. |
 |
33 |
 |
11 |
 |
44 |
 |
59 |
 |
74 |
 |
250 |
 |
219 |
 |
1,200 |
 |
.. |
 |
41 |
| Mauritania |
 |
6.2 |
 |
48 |
 |
32 |
 |
33 |
 |
43 |
 |
67 |
 |
96 |
 |
133 |
 |
125 |
 |
1,000 |
 |
40 |
 |
57 |
| Mauritius |
 |
.. |
 |
.. |
 |
.. |
 |
102 |
 |
100 |
 |
102 |
 |
103 |
 |
23 |
 |
15 |
 |
24 |
 |
97 |
 |
99 |
| Mozambique |
 |
6.5 |
 |
.. |
 |
24 |
 |
26 |
 |
29 |
 |
72 |
 |
82 |
 |
235 |
 |
152 |
 |
1,000 |
 |
.. |
 |
48 |
| Namibia |
 |
1.4 |
 |
26 |
 |
24 |
 |
78 |
 |
81 |
 |
108 |
 |
105 |
 |
86 |
 |
63 |
 |
300 |
 |
68 |
 |
76 |
| Niger |
 |
2.6 |
 |
43 |
 |
40 |
 |
17 |
 |
25 |
 |
57 |
 |
71 |
 |
320 |
 |
259 |
 |
1,600, |
 |
15 |
 |
16 |
| Nigeria |
 |
5.0 |
 |
39 |
 |
29 |
 |
.. |
 |
76 |
 |
79 |
 |
84 |
 |
230 |
 |
197 |
 |
800 |
 |
31 |
 |
35 |
| Rwanda |
 |
.. |
 |
29 |
 |
24 |
 |
47 |
 |
37 |
 |
96 |
 |
100 |
 |
173 |
 |
203 |
 |
1,400 |
 |
26 |
 |
31 |
| Senegal |
 |
6.4 |
 |
22 |
 |
23 |
 |
39 |
 |
45 |
 |
69 |
 |
90 |
 |
148 |
 |
137 |
 |
690 |
 |
47 |
 |
58 |
| Sierra Leone |
 |
.. |
 |
29 |
 |
27 |
 |
.. |
 |
.. |
 |
67 |
 |
71 |
 |
302 |
 |
283 |
 |
2,000 |
 |
.. |
 |
42 |
| Somalia |
 |
.. |
 |
.. |
 |
26 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
225 |
 |
225 |
 |
1,100 |
 |
.. |
 |
25 |
| South Africa |
 |
3.5 |
 |
.. |
 |
.. |
 |
75 |
 |
96 |
 |
104 |
 |
101 |
 |
60 |
 |
67 |
 |
230 |
 |
.. |
 |
.. |
| Sudan |
 |
.. |
 |
34 |
 |
41 |
 |
40 |
 |
49 |
 |
78 |
 |
88 |
 |
120 |
 |
91 |
 |
590 |
 |
86 |
 |
87 |
| Swaziland |
 |
2.7 |
 |
.. |
 |
10 |
 |
62 |
 |
61 |
 |
98 |
 |
96 |
 |
110 |
 |
156 |
 |
370 |
 |
56 |
 |
74 |
| Tanzania |
 |
7.3 |
 |
29 |
 |
.. |
 |
61 |
 |
57 |
 |
97 |
 |
.. |
 |
161 |
 |
126 |
 |
1,500 |
 |
44 |
 |
46 |
| Togo |
 |
.. |
 |
.. |
 |
.. |
 |
35 |
 |
66 |
 |
59 |
 |
73 |
 |
152 |
 |
140 |
 |
570 |
 |
.. |
 |
61 |
| Uganda |
 |
5.9 |
 |
23 |
 |
23 |
 |
.. |
 |
57 |
 |
82 |
 |
97 |
 |
160 |
 |
138 |
 |
880 |
 |
38 |
 |
39 |
| Zambia |
 |
6.1 |
 |
25 |
 |
23 |
 |
.. |
 |
66 |
 |
.. |
 |
93 |
 |
180 |
 |
182 |
 |
750 |
 |
51 |
 |
43 |
| Zimbabwe |
 |
4.6 |
 |
16 |
 |
.. |
 |
91 |
 |
80 |
 |
92 |
 |
96 |
 |
80 |
 |
129 |
 |
1,100 |
 |
69 |
 |
.. |
| High income |
 |
|
 |
.. w |
 |
.. w |
 |
.. w |
 |
.. w |
 |
100 w |
 |
101 w |
 |
11 w |
 |
7 w |
 |
14 w |
 |
.. w |
 |
.. w |
| Australia |
 |
5.9 |
 |
.. |
 |
.. |
 |
.. |
 |
100 |
 |
101 |
 |
98 |
 |
10 |
 |
6 |
 |
8 |
 |
100 |
 |
.. |
| Austria |
 |
8.6 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
95 |
 |
96 |
 |
10 |
 |
5 |
 |
4 |
 |
100 |
 |
.. |
| Belgium |
 |
8.5 |
 |
.. |
 |
.. |
 |
79 |
 |
.. |
 |
101 |
 |
106 |
 |
10 |
 |
5 |
 |
10 |
 |
.. |
 |
.. |
| Canada |
 |
7.2 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
99 |
 |
100 |
 |
8 |
 |
6 |
 |
6 |
 |
.. |
 |
98 |
| Denmark |
 |
8.3 |
 |
.. |
 |
.. |
 |
98 |
 |
103 |
 |
101 |
 |
103 |
 |
9 |
 |
5 |
 |
5 |
 |
.. |
 |
.. |
| Finland |
 |
9.6 |
 |
.. |
 |
.. |
 |
97 |
 |
102 |
 |
109 |
 |
106 |
 |
7 |
 |
4 |
 |
6 |
 |
100 |
 |
100 |
| France |
 |
7.2 |
 |
.. |
 |
.. |
 |
104 |
 |
.. |
 |
102 |
 |
100 |
 |
9 |
 |
5 |
 |
17 |
 |
99 |
 |
.. |
| Germany |
 |
8.5 |
 |
.. |
 |
.. |
 |
100 |
 |
97 |
 |
99 |
 |
99 |
 |
9 |
 |
5 |
 |
8 |
 |
.. |
 |
.. |
| Greece |
 |
6.7 |
 |
.. |
 |
.. |
 |
99 |
 |
.. |
 |
99 |
 |
101 |
 |
11 |
 |
5 |
 |
9 |
 |
.. |
 |
.. |
| Ireland |
 |
7.4 |
 |
.. |
 |
.. |
 |
.. |
 |
101 |
 |
104 |
 |
103 |
 |
9 |
 |
6 |
 |
5 |
 |
.. |
 |
100 |
| Israel |
 |
5.7 |
 |
.. |
 |
.. |
 |
.. |
 |
101 |
 |
105 |
 |
99 |
 |
12 |
 |
6 |
 |
17 |
 |
.. |
 |
.. |
| Italy |
 |
6.5 |
 |
.. |
 |
.. |
 |
104 |
 |
103 |
 |
100 |
 |
99 |
 |
9 |
 |
5 |
 |
5 |
 |
.. |
 |
.. |
| Japan |
 |
10.6 |
 |
.. |
 |
.. |
 |
101 |
 |
.. |
 |
101 |
 |
100 |
 |
6 |
 |
4 |
 |
10 |
 |
100 |
 |
.. |
| Korea, Rep. |
 |
7.9 |
 |
.. |
 |
.. |
 |
98 |
 |
105 |
 |
99 |
 |
100 |
 |
9 |
 |
6 |
 |
20 |
 |
98 |
 |
.. |
| Kuwait |
 |
.. |
 |
.. |
 |
.. |
 |
57 |
 |
91 |
 |
97 |
 |
104 |
 |
16 |
 |
12 |
 |
5 |
 |
.. |
 |
.. |
| Netherlands |
 |
7.6 |
 |
.. |
 |
.. |
 |
.. |
 |
100 |
 |
97 |
 |
98 |
 |
9 |
 |
6 |
 |
16 |
 |
.. |
 |
.. |
| New Zealand |
 |
6.4 |
 |
.. |
 |
.. |
 |
100 |
 |
.. |
 |
100 |
 |
107 |
 |
11 |
 |
7 |
 |
7 |
 |
95 |
 |
.. |
| Norway |
 |
9.6 |
 |
.. |
 |
.. |
 |
100 |
 |
103 |
 |
102 |
 |
101 |
 |
9 |
 |
4 |
 |
16 |
 |
.. |
 |
.. |
| Portugal |
 |
5.8 |
 |
.. |
 |
.. |
 |
95 |
 |
.. |
 |
103 |
 |
102 |
 |
14 |
 |
5 |
 |
5 |
 |
98 |
 |
100 |
| Puerto Rico |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
25 |
 |
.. |
 |
.. |
| Saudi Arabia |
 |
.. |
 |
15 |
 |
.. |
 |
56 |
 |
62 |
 |
84 |
 |
92 |
 |
44 |
 |
27 |
 |
23 |
 |
.. |
 |
.. |
| Singapore |
 |
5.0 |
 |
.. |
 |
3 |
 |
.. |
 |
.. |
 |
95 |
 |
.. |
 |
8 |
 |
3 |
 |
30 |
 |
.. |
 |
.. |
| Slovenia |
 |
9.1 |
 |
.. |
 |
.. |
 |
95 |
 |
102 |
 |
.. |
 |
99 |
 |
10 |
 |
4 |
 |
17 |
 |
100 |
 |
100 |
| Spain |
 |
7.0 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
104 |
 |
102 |
 |
9 |
 |
5 |
 |
4 |
 |
.. |
 |
.. |
| Sweden |
 |
9.1 |
 |
.. |
 |
.. |
 |
96 |
 |
.. |
 |
102 |
 |
111 |
 |
7 |
 |
4 |
 |
2 |
 |
.. |
 |
.. |
| Switzerland |
 |
7.6 |
 |
.. |
 |
.. |
 |
53 |
 |
96 |
 |
97 |
 |
96 |
 |
9 |
 |
5 |
 |
7 |
 |
.. |
 |
.. |
| United Arab Emirates |
 |
.. |
 |
.. |
 |
.. |
 |
95 |
 |
75 |
 |
104 |
 |
102 |
 |
14 |
 |
8 |
 |
54 |
 |
.. |
 |
.. |
| United Kingdom |
 |
6.1 |
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
98 |
 |
116 |
 |
10 |
 |
6 |
 |
13 |
 |
.. |
 |
.. |
| United States |
 |
5.4 |
 |
1 |
 |
2 |
 |
.. |
 |
.. |
 |
100 |
 |
100 |
 |
11 |
 |
8 |
 |
17 |
 |
99 |
 |
.. |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
 |
| Low income |
 |
|
 |
.. |
 |
.. |
 |
66 |
 |
74 |
 |
74 |
 |
86 |
 |
147 |
 |
122 |
 |
682 |
 |
.. |
 |
40 |
| Middle income |
 |
|
 |
.. |
 |
11 |
 |
92 |
 |
97 |
 |
91 |
 |
98 |
 |
57 |
 |
37 |
 |
142 |
 |
.. |
 |
87 |
| Lower middle income |
 |
|
 |
.. |
 |
11 |
 |
93 |
 |
98 |
 |
89 |
 |
98 |
 |
61 |
 |
40 |
 |
153 |
 |
.. |
 |
86 |
| Upper middle income |
 |
|
 |
.. |
 |
.. |
 |
88 |
 |
96 |
 |
98 |
 |
98 |
 |
42 |
 |
28 |
 |
92 |
 |
.. |
 |
95 |
| Low & middle income |
 |
|
 |
.. |
 |
.. |
 |
81 |
 |
86 |
 |
84 |
 |
92 |
 |
103 |
 |
86 |
 |
450 |
 |
.. |
 |
60 |
| High income |
 |
|
 |
.. |
 |
.. |
 |
.. |
 |
.. |
 |
100 |
 |
101 |
 |
11 |
 |
7 |
 |
14 |
 |
.. |
 |
.. |
|
|
|
| |
a. Break in series between 1997 and 1998 due to change from
International Standard Classification of Education (ISCED) 1976 to
ISCED97. b. Data are for the most recent year available. c. See
table 2.8 for survey year and whether share is based on income or
consumption expenditure. d. Hong Kong, China, is classified as a
high-income economy and is not included in t he
East Asia and Pacific aggregate. e. Urban data. |
| |

|
| |
| About the
data |
| |
| This table and the following two present indicators for 7
of the 8 targets specified by the Millennium Development Goals. Each of the
eight goals comprises one or more targets, and each target has associated
with it several indicators for monitoring progress toward the target. Most
of the targets are set as a value of a specific indicator to be attained by
a certain date. In some cases the target value is set relative to a level in
990. In others it is set at an absolute level. Some of the targets for goals
7 and 8 have not yet been quantified |
| |
| The indicators in this table relate to
goals 1–5. Goal 1 has two targets between 1990 and 2015: to reduce by half
the proportion of people whose income is less than $1 a day and to reduce by
half the proportion of people who suffer from hunger. Estimates of poverty
rates can be found in table 2.7. The indicator shown here, the share of the
poorest quintile in national consumption, is a distributional measure.
Countries with more unequal distributions of consumption (or income) will
have a higher rate of poverty for a given average income. No single
indicator captures the concept of suffering from hunger. Child malnutrition
is a symptom of inadequate food supply, lack of essential nutrients,
illnesses that deplete these nutrients, and undernourished mothers who give
birth to underweight children. |
| |
| Progress toward achieving universal primary
education is measured by primary school completion rates. Before World
Development Indicators 2003, progress was measured by net enrollment ratios.
But official enrollments sometimes differ significantly from actual
attendance, and even school systems with high average enrollment ratios may
have poor completion rates. Estimates of primary school completion rates
were calculated by World Bank staff using data provided by the United
Nations Educational, Scientific, and Cultural Organization Institute of
Statistics and national sources. |
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| Eliminating gender disparities in education
would help to increase the status and capabilities of women. The ratio of
girls’ to boys’ enrollments in primary and secondary school provides an
imperfect measure of the relative accessibility of schooling for girls. With
a target date of 2005, this is the first of the goals to fall due. |
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| The targets for reducing under-five and
maternal mortality are among the most challenging. Although estimates of
under-five mortality rates are available at regular intervals for most
countries, maternal mortality is difficult to measure, in part because it is
relatively rare. |
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| Most of the 48 indicators relating to the
Millennium Development Goals can be found in World Development Indicators.
Table 1.2a shows where to find the indicators for the first five goals. For
more information about data collection methods and limitations, see About
the data for the tables listed there. For information about the indicators
for goals 6, 7, and 8, see About the data for tables 1.3 and 1.4. |
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| | 1. Proportion of population below $1 a day |
2.7 |
|
| | 2. Poverty gap ratio |
2.7 |
|
| | 3. Share of poorest quintile in national consumption |
1.2, 2.8 |
|
| | 4. Prevalence of underweight in children under age five |
1.2, 2.17 |
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| | 5. Proportion of population below minimum level of dietary energy consumption |
2.17 |
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| | 6. Net enrollment ratio |
2.11 |
|
| | 7. Proportion of pupils starting grade 1 who reach grade 5 |
2.12 |
|
| | 8. Literacy rate of 15- to 24-year-olds |
2.13 |
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| | 9. Ratio of girls to boys in primary, secondary, and tertiary education |
1.2* |
|
| | 10. Ratio of literate females to males among 15- to 24-year-olds |
2.13* |
|
| | 11. Share of women in wage employment in the nonagricultural sector |
1.5, 2.2* |
|
| | 12. Proportion of seats held by women in national parliament |
1.5 |
|
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|
| | 13. Under-five mortality rate |
1.2, 2.19 |
|
| | 14. Infant mortality rate |
2.19 |
|
| | 15. Proportion of one-year-old children immunized against measles |
2.15 |
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| | 16. Maternal mortality ratio |
1.2, 2.16 |
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| | 17. Proportion of births attended by skilled health personnel |
1.2, 2.16 |
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| * Table shows information on related indicators. |
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| Definitions |
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| • Share of poorest quintile in national consumption or
income is the share of consumption or, in some cases, income that accrues to
the poorest 20 percent of the population. • Prevalence of child malnutrition
is the percentage of children under age five whose weight for age is more
than two standard deviations below the median for the international
reference population ages 0–59 months. The reference population, adopted by
the World Health Organization in 1983, is based on children from the United
States, who are assumed to be well nourished. • Primary completion rate is
the percentage of students completing the last year of primary school. It is
calculated as the total number of students in the last grade of primary
school, minus the number of repeaters in that grade, divided by the total
number of children of official graduation age. • Ratio of female to male
enrollments in primary and secondary school is the ratio of female to male
gross enrollment rate in primary and secondary school. • Under-five
mortality rate is the probability that a newborn baby will die before
reaching age five, if subject to current age-specific mortality rates. The
probability is expressed as a rate per 1,000. • Maternal mortality ratio is
the number of women who die from pregnancy-related causes during pregnancy
and childbirth, per 100,000 live births. The data shown here have been
collected in various years and adjusted to a common 2000 base year. The
values are modeled estimates (see About the data for table 2.16). • Births
attended by skilled health staff are the percentage of deliveries attended
by personnel trained to give the necessary supervision, care, and advice to
women during pregnancy, labor, and the postpartum period; to conduct
deliveries on their own; and to care for newborns. |
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| Data
sources |
| The indicators here and throughout this
book have been compiled by World Bank staff from primary and secondary
sources. Efforts have been made to harmonize these data series with those
published on the United Nations Millennium Development Goals Web site (http://www.un.org/millenniumgoals),
but some differences in timing, sources, and definitions remain. |
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