Part II Global Health Indicators

Part II
Global Health Indicators
Table 1
WORLD HEALTH STATISTICS
2010
Mortality and burden of disease
This section deals with indicators of life expectancy and mortality rates, which provide good summary measures of
overall population health. The indicators include overall life expectancy at birth, as well as infant and under-five
mortality (the probability of dying between birth and 1 and 5 years of age, respectively), and adult mortality (the
probability of dying between 15 and 60 years of age). Levels and trends for child mortality (Figure 8 and Box 1) are
particularly relevant in understanding public health because globally almost 20% of all deaths are of children less
than 5 years old. Neonatal mortality (death during the first 28 days of life per 1000 live births) accounts for a large
proportion of child deaths in many countries, especially in low-income settings.
Although estimates of life expectancy reflect how many years a person might be expected to live given the current
mortality rates in specific settings, they say nothing about health status during life. Mortality statistics alone are
insufficient in fully describing and comparing the health status of different populations because they underestimate
the burden of ill-health caused by chronic conditions and provide no information on non-fatal health outcomes.
“Healthy life expectancy” (HALE) at birth, on the other hand, represents the average number of years that a person
could expect to live in “good health” by taking into account years lived in less than full health due to disease and/or
injury. As a result, it captures both fatal and non-fatal health outcomes and disabilities, of which the most common
worldwide are hearing loss, visual impairment and mental disorders.
The estimates of mortality presented here have been derived wherever possible from death-registration data
reported annually to WHO. For countries where such data are not available or are of poor quality, household surveys
and censuses are used to create life tables from a model developed by WHO that generates estimates of mortality
rates and life expectancy. In the case of child mortality, WHO is part of the Inter-agency Group for Child Mortality
Estimation (IGME) which was established to advance the work on monitoring the progress made towards the
achievement of the MDG target,18 and works to harmonize the estimates used by its members. In addition, to develop
its country estimates of HALE, WHO has conducted analyses of 135 causes of disability for 17 regions of the world
and analysed 69 health surveys in 60 countries.
WHO makes every effort to standardize the methods used to estimate and project indicators for all Member
States using comparable data. This may lead to some differences compared with the official statistics prepared by
individual Member States. It is also important to stress that these estimates are subject to considerable uncertainty,
especially for countries with weak statistical and health information systems where the quality of underlying empirical
data is limited. Estimates of HALE are more uncertain than estimates of life expectancy, as it is particularly difficult
to ensure comparable measurements of disability across countries, and to correct for limitations in the data. In
recognition of this, uncertainty intervals for WHO estimates of mortality and life expectancy will be made available in
the Global Health Observatory.
18
MDG 4; Target 4.A: Reduce by two thirds, between 1990 and 2015, the under-five mortality rate.
45
WORLD HEALTH STATISTICS
2010
Figure 8: Mortality rate in children under 5 years old by country-income group – 1990 and 2008
Low income
Lower middle income
Upper middle income
High income
320
300
280
260
240
Probability of dying by age 5 per 1000 live births
220
200
180
160 157
140
120
109
100
80
70
60
40
36
26
20
15
11
5
0
1990
2008
1990
2008
1990
Note: Solid horizontal lines indicate the median.
46
2008
1990
2008
Table 1
WORLD HEALTH STATISTICS
2010
Box 1: Trends in child mortality
In Figure 8, each circle represents a country (note that circles may overlap). From the data presented, three
major conclusions emerge:
In general, wealthier countries have far lower levels of child mortality than poorer ones – in low-income
countries, the median level of child mortality in 2008 was 109 deaths per 1000 live births, compared with
5 per 1000 in high-income countries, representing a more than 20-fold difference.
Several low-income countries have achieved comparably low levels of child mortality – with wide variation
in levels of child mortality observed in most of the country-income groups. In low-income countries, child
mortality in 2008 ranged from 14 to 257 per 1000 live births representing an 18-fold difference.
Child mortality rates have fallen since 1990 in all country-income groups – with the rate of decline
generally faster in high-income and middle-income countries than in low-income countries. Median child
mortality fell by almost 50% between 1990 and 2008 in lower middle-income countries, but by only 31%
in low-income countries.
47
1. Mortality and burden of disease
Life expectancy at birtha
(years)
Member State
Male
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Cook Islands
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
Djibouti
Healthy life expectancy
(HALE) at birthb
(years)
Female
Both sexes
Male
1990
2000
2008
1990
2000
2008
1990
2000
2008
42
66
65
74
38
69
69
62
74
72
59
67
73
55
70
66
73
71
50
53
57
69
65
63
71
68
48
48
57
54
74
65
51
48
69
68
66
56
58
67
74
53
69
72
74
68
65
47
72
56
41
68
67
76
41
71
71
67
77
75
62
69
72
61
70
63
75
67
54
58
61
71
51
67
75
68
49
45
55
52
77
66
49
46
73
70
68
56
53
69
75
52
70
75
75
72
65
44
75
57
40
71
70
79
45
73
72
66
79
78
66
72
74
64
71
64
77
69
57
61
65
73
60
70
75
70
51
49
59
53
79
66
49
46
75
72
72
58
54
72
76
55
72
76
78
74
65
47
77
57
44
71
68
81
45
71
76
70
80
79
66
74
74
54
77
75
79
75
51
56
58
75
69
70
76
75
49
51
60
55
80
70
51
50
76
69
72
59
61
71
78
55
76
76
78
75
69
50
78
60
44
73
71
83
47
74
78
73
82
81
67
75
74
61
77
74
81
74
55
62
64
76
53
74
79
75
50
49
61
53
82
72
48
48
80
73
77
61
54
74
79
53
78
79
79
79
69
49
79
61
44
74
72
85
48
75
79
73
84
83
70
78
76
65
77
76
82
76
58
65
68
78
62
77
77
77
52
51
64
53
83
74
48
47
82
76
79
62
55
76
81
56
79
79
82
80
69
50
81
61
43
69
66
77
42
70
73
66
77
76
63
71
74
54
74
71
76
73
51
55
58
72
67
67
73
71
49
50
59
55
77
67
51
49
72
68
69
57
60
69
76
54
72
74
76
71
67
49
75
58
42
71
69
80
44
72
75
70
80
78
64
72
73
61
74
69
78
70
55
60
62
74
52
70
77
72
49
47
58
52
79
69
49
47
77
71
72
58
54
71
77
53
74
77
77
75
67
47
77
59
42
73
71
82
46
74
76
70
82
80
68
75
75
65
74
70
80
72
57
63
67
75
61
73
76
73
51
50
62
53
81
71
48
46
78
74
75
60
54
74
78
56
76
77
80
77
67
48
79
59
48
Female
Both sexes
2007
36
64
62
72
44
65
64
59
72
70
59
63
66
56
65
58
70
57
50
54
57
65
49
62
66
63
42
42
51
45
71
59
43
40
67
65
64
55
48
63
68
45
66
68
69
68
57
44
70
47
36
64
63
76
47
66
69
63
75
74
60
68
66
55
69
66
74
63
50
56
59
68
48
66
67
69
43
43
55
45
75
64
42
40
72
68
69
58
49
66
71
48
70
71
71
72
61
46
73
50
Neonatal
mortality
ratec
(per 1000
live births)
2008
36
64
62
74
45
66
67
61
74
72
59
65
66
56
67
62
72
60
50
55
58
67
49
64
66
66
43
43
53
45
73
61
42
40
70
66
66
56
48
65
69
47
68
69
70
70
59
45
72
48
50
4
24
2
47
8
9
14
3
3
19
6
6
33
7
7
2
8
33
35
25
7
16
11
3
5
36
42
31
31
4
16
47
44
5
11
12
42
34
7
7
41
3
3
2
2
29
56
3
36
MDG 4
Infant mortality ratea
(probability of dying by age 1
per 1000 live births)
Male
Female
Adult mortality ratea
(probability of dying between 15 and 60 years
per 1000 population)
MDG 4
Under-five mortality ratea
(probability of dying by age 5
per 1000 live births)
Both sexes
Male
Female
Table 1
WORLD HEALTH STATISTICS
2010
Both sexes
Male
Female
Both sexes
1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008
175
39
57
8
161
27
27
51
9
9
87
19
13
110
18
24
9
38
117
99
93
23
39
51
11
16
114
125
94
99
8
59
120
127
20
31
32
99
69
12
21
115
12
13
12
13
43
133
9
108
172
22
44
4
148
21
19
34
6
5
64
14
11
71
13
18
5
27
94
73
70
16
56
31
6
15
106
118
88
99
6
40
123
130
10
25
25
90
76
17
13
106
7
8
5
5
43
133
6
95
172
13
39
3
136
14
14
22
5
4
36
9
9
45
9
13
4
18
81
58
48
15
26
20
5
10
95
112
76
89
6
29
118
132
8
15
19
83
82
16
10
89
6
5
4
3
43
133
4
86
160
36
48
6
147
22
21
45
7
7
68
14
14
97
12
17
7
32
104
84
83
19
38
40
8
12
106
102
76
84
6
39
112
112
16
43
22
80
64
20
17
93
9
9
10
9
41
119
6
82
158
19
38
4
134
12
15
30
5
4
50
12
10
63
13
13
4
19
84
62
63
12
54
25
6
12
98
96
71
84
5
26
115
114
9
35
17
73
71
12
10
85
6
5
5
4
41
119
4
72
158
12
33
3
124
8
11
19
4
3
28
9
10
40
12
10
3
15
72
49
43
10
26
16
6
8
89
92
62
75
5
19
111
116
7
21
13
67
77
11
9
72
3
5
3
2
41
119
3
66
168
37
52
7
154
25
24
48
8
8
78
17
14
103
15
20
8
35
111
91
88
21
39
46
9
14
110
113
85
92
7
49
116
120
18
37
28
90
67
16
19
104
10
11
11
11
42
126
7
95
165
21
41
4
141
17
17
32
5
5
58
13
10
67
13
15
5
23
89
68
67
14
55
28
6
14
102
107
80
91
5
33
119
122
9
30
21
81
74
15
12
96
7
6
5
4
42
126
5
84
165
13
36
3
130
11
13
21
4
4
32
9
10
43
10
11
4
17
76
54
46
13
26
18
5
9
92
102
69
82
5
24
115
124
7
18
16
75
80
14
10
81
4
5
4
3
42
126
4
76
262
48
69
9
276
32
31
63
10
10
109
28
16
153
20
27
11
46
189
158
124
26
52
62
12
20
203
203
126
155
9
74
177
206
24
39
41
138
108
15
25
157
14
15
13
14
57
210
10
137
258
26
52
5
253
23
22
40
7
6
77
22
14
93
14
20
7
30
148
113
87
20
84
37
8
18
189
190
115
154
7
48
180
210
12
31
30
123
121
19
15
144
8
10
7
6
57
210
6
119
258
15
45
4
234
16
17
26
6
5
41
13
12
56
9
14
5
21
124
87
55
17
32
24
6
11
170
179
97
137
7
34
173
214
10
18
23
114
132
18
12
119
7
7
4
4
57
210
5
106
258
44
58
8
243
26
25
49
8
9
85
21
17
146
15
20
8
39
180
137
120
21
48
50
11
15
200
176
107
142
7
52
178
197
19
52
29
117
99
21
20
143
10
11
11
11
53
187
8
108
256
22
43
4
224
15
18
31
6
5
60
18
11
89
15
15
5
24
141
98
84
14
78
31
8
15
186
165
97
140
5
34
181
201
10
41
22
104
111
14
12
131
7
7
6
5
53
187
5
94
49
256
13
37
3
206
9
14
20
5
4
31
13
12
53
13
11
4
18
118
75
53
12
30
19
7
10
167
155
82
125
6
24
174
204
8
24
16
96
121
13
10
109
4
6
4
3
53
187
4
83
260
46
64
9
260
29
28
56
9
10
98
25
16
149
17
24
10
43
184
148
122
23
50
56
11
18
201
189
117
149
8
63
178
201
22
46
35
128
104
18
22
150
12
13
12
12
55
199
9
123
257
24
48
5
238
19
20
36
6
6
69
20
13
91
14
17
6
27
144
106
86
17
81
34
8
16
187
178
106
147
6
41
181
205
11
36
26
114
116
17
13
138
8
8
6
5
55
199
6
106
257
14
41
4
220
12
15
23
5
4
36
13
12
54
11
13
5
19
121
81
54
15
31
22
7
11
169
168
89
131
6
29
173
209
9
21
20
105
127
15
11
114
5
6
4
4
55
199
4
95
485
158
198
143
579
192
198
279
124
153
285
262
105
305
188
282
139
161
377
337
296
181
234
272
151
216
418
409
306
334
132
253
364
401
196
193
254
313
296
252
129
340
223
155
110
230
227
419
152
311
526
157
175
125
531
203
176
210
97
126
259
245
115
251
187
354
130
251
337
284
259
170
576
239
113
222
430
542
382
400
100
284
434
448
137
160
228
319
439
178
124
406
187
140
107
172
227
503
122
316
543
141
144
99
460
192
160
240
81
99
228
206
116
247
168
330
110
223
312
256
230
147
419
210
106
214
388
425
294
405
87
274
448
465
116
140
162
286
389
133
124
367
163
122
84
143
229
443
112
335
384
104
165
60
386
137
102
135
66
74
165
147
107
333
109
107
75
101
340
302
271
86
158
150
112
97
362
351
248
309
71
144
345
351
98
148
140
265
246
154
86
312
89
111
61
95
161
351
99
250
389
103
131
50
385
160
92
96
55
63
157
145
89
258
106
125
68
152
324
234
212
85
528
126
85
97
382
456
255
381
61
163
441
392
69
106
97
247
416
116
75
388
74
90
56
76
161
383
77
250
398
91
119
44
383
160
86
101
46
50
138
127
82
230
108
111
61
129
291
197
163
68
394
106
80
91
361
401
216
403
53
115
467
429
60
84
75
231
374
89
68
354
65
81
39
65
161
373
67
283
439
133
181
102
489
164
150
207
96
114
225
205
106
319
146
194
107
132
355
321
283
134
194
212
133
158
387
377
272
321
102
189
353
375
147
172
197
289
271
206
108
329
158
133
86
163
193
384
126
280
465
130
153
88
460
181
135
149
77
95
208
195
105
254
146
242
100
203
329
261
235
127
550
183
101
160
403
496
315
390
81
213
437
420
103
135
163
284
426
148
100
399
132
115
82
124
194
444
100
283
479
116
132
72
421
176
123
165
63
75
182
166
103
238
138
221
86
178
301
229
196
107
404
158
94
153
372
411
253
403
70
185
457
446
88
113
118
258
381
112
97
361
115
102
61
105
196
407
90
309
1. Mortality and burden of disease
Life expectancy at birtha
(years)
Member State
Male
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
Lithuania
Luxembourg
Healthy life expectancy
(HALE) at birthb
(years)
Female
Both sexes
Male
1990
2000
2008
1990
2000
2008
1990
2000
2008
71
68
64
61
59
48
28
65
46
63
71
73
59
53
65
72
57
75
64
61
44
42
56
53
65
65
75
57
60
60
64
72
75
74
72
76
66
61
58
62
72
61
51
64
63
59
29
67
66
72
72
72
67
66
67
51
58
65
51
65
74
75
58
55
68
75
57
76
66
64
48
44
59
56
64
68
78
60
64
65
64
74
77
76
71
78
69
58
50
64
75
62
58
65
68
46
49
69
67
75
72
71
70
68
68
53
63
69
57
67
76
78
58
58
67
77
60
78
67
65
53
47
62
60
67
70
80
63
66
70
59
78
79
79
69
79
70
59
53
65
78
62
61
66
70
44
53
71
66
77
75
70
69
64
70
50
51
75
50
69
79
81
64
55
72
78
60
79
66
65
48
48
66
55
69
74
81
58
62
66
69
78
78
80
74
82
70
70
62
64
75
68
53
75
69
62
46
71
76
79
76
74
73
69
74
52
63
76
54
71
81
83
63
58
74
81
60
81
69
70
52
50
70
60
71
76
82
62
66
70
69
79
81
82
74
85
73
68
53
68
76
69
60
76
73
54
52
74
77
81
77
74
76
71
76
54
67
79
60
73
83
85
62
61
76
83
64
83
70
72
55
51
68
64
73
78
83
66
69
75
69
82
83
84
74
86
74
70
55
70
79
69
63
77
74
49
55
76
78
83
73
69
67
62
64
49
36
70
48
66
75
77
62
54
69
75
58
77
65
63
46
45
61
54
67
69
78
58
61
63
66
75
77
77
73
79
68
65
60
63
73
65
52
70
66
61
36
69
71
75
74
73
70
67
70
51
61
71
53
68
78
79
60
57
71
78
58
78
67
67
50
47
64
58
67
72
80
61
65
67
67
76
79
79
72
81
71
63
51
66
76
65
59
71
70
50
50
71
72
78
74
73
73
69
72
53
65
74
58
70
80
81
60
59
72
80
62
80
69
69
54
49
65
62
70
74
82
64
67
72
63
80
81
82
72
83
72
64
54
67
78
66
62
71
72
47
54
73
72
80
50
Female
Both sexes
2007
65
62
63
59
58
45
54
61
49
60
70
71
50
50
62
71
49
71
61
58
46
40
52
53
61
62
73
56
60
60
50
71
72
73
62
73
62
53
47
56
69
55
53
59
60
38
47
63
58
71
67
64
66
62
63
46
56
71
51
64
75
76
53
53
67
75
50
74
62
62
48
43
55
55
64
69
75
57
61
62
58
74
74
76
66
78
64
60
48
60
69
59
54
68
64
41
49
66
68
75
Neonatal
mortality
ratec
(per 1000
live births)
2008
66
63
64
60
61
46
55
66
50
62
72
73
52
51
64
73
50
72
61
60
47
42
53
54
62
66
74
56
60
61
54
73
73
74
64
76
63
56
48
58
69
57
54
64
62
40
48
64
63
73
8
19
11
13
8
40
17
3
39
8
2
2
28
34
20
3
30
2
13
11
43
45
23
25
15
4
1
37
19
19
25
3
2
2
9
1
13
17
33
17
6
18
20
5
8
37
44
9
3
1
MDG 4
Infant mortality ratea
(probability of dying by age 1
per 1000 live births)
Male
Female
Adult mortality ratea
(probability of dying between 15 and 60 years
per 1000 population)
MDG 4
Under-five mortality ratea
(probability of dying by age 5
per 1000 live births)
Both sexes
Male
Female
Table 1
WORLD HEALTH STATISTICS
2010
Both sexes
Male
Female
Both sexes
1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008
18
51
47
70
52
128
103
14
140
21
6
8
80
111
44
8
79
10
27
59
152
157
82
112
47
17
6
82
62
62
45
9
11
9
30
5
31
58
75
68
13
68
122
16
36
85
154
33
11
9
16
34
32
40
30
108
65
10
103
18
4
5
76
100
33
5
74
7
21
39
124
142
68
84
36
10
3
67
43
43
41
7
6
5
29
4
23
43
90
52
10
48
71
12
22
88
125
22
8
4
10
29
24
21
17
95
46
6
78
17
3
4
68
85
29
4
54
3
16
29
100
129
59
58
28
6
2
52
34
31
38
5
4
4
28
3
17
30
89
41
10
36
53
7
13
67
106
15
5
2
12
45
35
60
44
111
81
10
108
17
6
6
53
96
37
6
71
9
39
56
121
127
46
96
39
13
5
84
51
47
39
8
9
7
25
4
31
44
60
62
12
57
94
11
30
75
138
33
10
7
13
30
24
35
25
95
51
7
79
14
3
4
51
87
28
4
67
5
14
37
98
115
38
72
30
9
2
69
35
33
35
5
5
4
25
3
23
33
72
45
7
40
55
9
19
77
112
22
9
4
8
25
18
18
14
84
36
4
60
14
2
3
45
74
24
3
48
2
10
28
80
104
33
50
23
5
1
53
28
23
33
4
3
3
24
2
17
23
71
35
9
30
41
8
11
59
95
15
5
2
15
48
41
66
48
120
92
12
124
19
6
7
67
104
41
7
75
9
33
58
137
142
64
105
43
15
5
83
56
55
42
8
10
8
28
5
31
51
68
65
13
63
108
14
33
80
146
33
10
8
15
32
28
38
28
102
58
9
91
16
4
4
64
93
31
4
71
6
18
38
111
129
54
78
33
9
3
68
40
38
38
6
6
5
27
3
23
38
81
49
9
44
64
11
21
83
118
22
8
4
9
27
21
20
16
90
41
5
69
16
3
3
57
80
26
4
51
3
13
29
90
117
46
54
26
6
2
52
31
27
36
4
4
3
26
3
17
27
81
38
9
33
48
8
12
63
100
15
5
2
21
67
58
94
68
205
162
18
225
25
7
10
103
163
51
10
125
11
37
76
246
264
115
157
58
19
7
109
93
82
58
11
13
10
35
7
37
69
113
93
16
80
166
20
45
108
230
38
15
11
18
42
37
49
37
174
96
13
159
19
5
6
98
140
38
6
117
8
24
47
198
240
94
113
42
12
4
88
61
54
52
8
8
6
34
5
27
51
138
64
13
55
91
15
27
116
183
24
11
6
11
35
27
24
20
152
63
7
117
20
4
5
86
113
32
5
81
4
18
34
156
215
80
75
32
7
3
65
44
37
49
5
5
4
32
4
19
35
138
49
11
41
65
9
15
84
152
17
7
3
14
57
48
85
56
190
137
14
193
19
7
8
80
142
42
8
111
10
44
78
214
215
59
145
52
15
6
124
77
63
48
9
11
8
32
6
38
51
96
84
14
69
148
15
35
95
207
38
12
8
15
36
31
44
30
162
81
9
137
17
4
5
76
122
31
5
104
6
16
48
172
196
48
105
38
10
3
100
51
41
43
6
6
5
30
4
28
38
117
62
10
47
81
11
21
102
164
24
11
5
51
9
30
23
22
16
143
53
5
100
15
3
3
67
98
27
4
71
3
12
35
135
175
41
69
29
6
3
73
37
28
42
4
4
4
29
3
20
26
117
47
10
35
58
9
12
74
137
17
6
3
18
62
53
89
62
198
150
16
210
22
7
9
92
153
47
9
118
11
40
77
231
240
87
151
55
17
6
116
86
73
53
10
12
9
33
6
38
60
105
89
15
75
157
17
40
101
218
38
13
10
17
39
34
47
33
168
89
11
148
18
4
5
87
131
35
5
111
7
20
47
185
218
72
109
40
11
3
94
56
48
48
7
7
5
32
5
27
44
128
63
11
51
86
13
24
109
174
24
11
5
10
33
25
23
18
147
58
6
109
18
3
4
77
106
30
4
76
3
15
34
146
195
61
72
31
7
3
69
41
32
45
5
5
4
31
3
20
30
128
48
11
38
61
9
13
79
144
17
7
3
194
180
254
238
373
403
920
301
430
326
183
162
276
343
242
157
297
117
285
286
461
489
385
337
229
304
112
302
286
291
254
133
107
129
136
109
241
318
302
246
116
290
386
311
291
279
861
209
287
160
189
164
228
220
277
392
321
318
406
292
143
138
334
320
195
124
322
116
266
292
418
460
357
351
273
271
92
289
248
238
244
120
103
101
182
98
195
422
488
284
86
326
345
320
208
627
422
189
293
121
209
188
207
222
301
366
266
249
329
249
129
119
353
300
232
101
298
105
245
302
352
436
291
306
227
233
66
250
226
152
377
90
87
80
220
87
179
432
382
321
68
343
317
311
191
758
353
170
314
101
145
153
173
182
164
349
430
107
348
213
70
67
204
311
110
77
255
56
237
198
359
358
223
315
159
133
69
243
266
208
171
81
71
60
118
53
166
150
231
226
86
156
354
118
193
228
445
136
107
79
116
124
141
158
136
375
229
120
352
183
63
61
248
279
79
63
268
48
227
178
350
358
210
272
151
114
57
220
217
148
169
70
55
51
132
48
123
194
439
191
62
170
312
117
142
437
359
112
103
67
119
127
121
151
136
356
197
84
286
156
57
55
301
253
85
54
247
44
209
159
320
370
226
229
129
101
46
173
185
95
179
56
46
42
130
43
116
186
364
175
51
184
288
115
131
633
328
97
114
56
169
167
214
210
270
375
774
204
389
272
128
115
240
327
175
118
276
86
260
243
410
426
304
326
195
219
91
274
275
252
212
108
89
95
127
81
205
235
267
237
105
224
369
215
241
251
717
178
196
121
152
144
185
190
203
383
272
218
379
240
104
100
292
299
135
94
295
82
246
234
384
410
281
311
214
193
75
256
232
194
207
96
79
76
157
73
161
308
463
240
78
250
328
218
174
521
390
156
197
95
164
158
165
187
214
361
228
165
307
204
94
87
327
276
157
78
273
75
228
228
336
403
261
267
179
167
56
213
206
124
285
73
66
61
175
65
149
310
371
251
61
264
302
213
160
685
340
138
215
79
1. Mortality and burden of disease
Life expectancy at birtha
(years)
Member State
Male
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Republic of Korea
Republic of Moldova
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Healthy life expectancy
(HALE) at birthb
(years)
Female
Both sexes
Male
1990
2000
2008
1990
2000
2008
1990
2000
2008
52
45
68
58
43
74
59
56
66
68
64
74
59
73
63
39
56
62
57
54
74
72
63
37
45
67
73
68
58
64
72
57
71
67
62
67
71
75
68
64
67
64
48
65
69
68
62
76
59
66
56
46
69
67
46
76
58
57
68
72
66
76
60
72
67
48
56
57
56
59
76
76
70
45
47
66
76
71
61
67
73
60
71
70
66
70
73
76
72
64
68
59
43
69
71
67
65
78
60
69
58
52
71
73
48
78
58
56
69
73
68
78
64
72
70
51
53
61
57
63
78
78
71
51
49
64
78
72
63
68
74
61
71
74
67
71
76
76
76
65
70
62
56
70
71
66
66
81
60
69
53
48
73
55
46
78
65
58
73
74
67
81
66
79
68
45
60
67
63
54
80
78
73
41
47
74
80
73
59
75
75
61
76
71
68
75
77
75
76
71
73
74
52
71
74
74
64
82
62
71
58
48
74
67
48
80
60
59
75
77
68
84
70
77
72
49
62
63
62
60
81
81
76
47
48
77
81
76
62
74
78
63
76
74
73
78
80
76
80
71
75
72
47
73
77
73
70
84
62
75
61
54
76
75
50
82
60
59
77
78
70
85
73
76
75
51
56
66
63
64
82
83
77
53
49
79
83
77
64
77
79
64
77
77
74
80
83
76
83
73
77
74
59
76
78
76
70
84
62
75
52
47
71
57
44
76
62
57
69
71
66
77
63
76
65
42
58
65
60
54
77
75
68
39
46
70
77
70
58
69
73
59
73
69
65
71
74
75
72
68
70
69
50
68
71
71
63
79
61
68
57
47
72
67
47
78
59
58
71
74
67
80
65
74
70
48
59
60
59
60
78
79
73
46
47
71
79
73
61
70
76
61
74
72
70
74
77
76
76
68
71
65
45
71
74
70
67
81
61
71
60
53
73
74
49
80
59
58
73
76
69
82
68
74
72
51
54
63
60
63
80
81
74
52
49
71
81
74
63
72
76
62
74
76
70
76
79
76
80
69
73
68
58
73
75
71
68
83
61
72
52
Female
Both sexes
2007
51
43
62
64
41
71
52
49
61
65
61
71
55
65
61
42
48
52
53
55
72
72
63
44
42
56
72
64
56
62
65
55
63
66
59
64
69
68
68
58
63
55
43
62
64
60
60
74
52
61
53
44
66
64
43
74
53
52
65
69
62
76
62
66
63
42
52
53
57
55
74
74
66
45
42
68
74
67
55
67
68
57
66
67
64
70
73
66
74
63
68
65
44
67
69
66
63
76
54
64
Neonatal
mortality
ratec
(per 1000
live births)
2008
52
44
64
64
42
72
52
51
63
67
62
73
58
65
62
42
50
52
55
55
73
73
64
44
42
62
73
65
55
64
67
56
64
67
62
67
71
67
71
61
65
60
43
64
66
63
61
75
53
62
35
29
3
16
52
2
15
45
9
7
15
2
14
5
23
43
48
18
33
31
3
4
13
34
49
30
2
7
53
7
10
26
15
13
15
4
2
4
2
8
6
6
35
11
12
10
11
0
32
12
MDG 4
Infant mortality ratea
(probability of dying by age 1
per 1000 live births)
Male
Female
Adult mortality ratea
(probability of dying between 15 and 60 years
per 1000 population)
MDG 4
Under-five mortality ratea
(probability of dying by age 5
per 1000 live births)
Both sexes
Male
Female
Table 1
WORLD HEALTH STATISTICS
2010
Both sexes
Male
Female
Both sexes
1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008
110
139
17
82
147
12
40
86
23
40
45
8
84
12
79
171
96
57
7
98
8
10
58
148
128
8
8
24
105
22
26
69
39
71
49
17
13
20
8
37
26
19
114
28
20
21
42
12
69
37
89
105
10
44
127
7
33
82
20
24
38
5
58
14
53
128
86
60
38
63
6
7
39
110
114
18
4
14
89
18
23
61
32
40
32
9
7
13
6
25
21
18
121
15
15
21
43
6
68
21
74
68
7
27
109
7
30
80
17
17
32
4
40
8
37
93
85
37
34
41
4
5
26
81
102
36
3
11
75
15
22
56
27
24
30
6
3
7
5
18
13
10
77
16
13
15
35
2
67
19
93
126
14
77
130
8
38
75
18
32
45
6
58
12
57
161
74
40
9
99
6
7
44
140
112
55
6
22
96
14
23
64
29
56
35
14
10
15
8
24
21
14
98
16
14
19
38
16
61
33
76
95
8
42
112
5
31
71
12
20
37
4
40
11
39
120
67
42
44
63
5
6
29
104
100
17
3
13
81
9
20
53
24
32
24
7
5
12
6
16
17
13
104
22
13
17
10
4
60
19
62
61
5
21
96
7
29
69
11
14
32
3
27
8
27
88
66
26
39
41
4
4
20
76
89
6
2
10
69
11
17
49
21
19
22
5
3
6
4
12
10
8
66
11
13
8
8
1
60
18
101
133
16
79
139
10
39
81
21
36
45
7
71
12
68
166
85
49
8
99
7
9
51
144
120
31
7
23
101
18
24
67
34
64
42
16
11
18
8
30
23
17
106
22
17
20
40
14
65
35
83
100
9
43
120
6
32
77
16
22
38
5
49
13
46
124
77
51
41
63
5
6
34
107
107
17
4
13
85
14
21
57
28
36
28
8
6
13
6
21
19
16
112
18
14
19
28
5
64
20
68
65
6
24
102
7
30
75
14
15
32
3
33
8
32
90
76
31
36
41
4
5
23
79
96
22
3
10
72
13
19
53
24
22
26
6
3
7
5
15
11
9
72
14
13
12
22
1
64
18
174
236
19
113
258
13
49
136
27
49
58
9
114
14
97
252
133
83
8
144
10
13
74
310
235
8
10
32
130
25
33
95
47
90
71
20
16
24
9
45
34
24
188
32
25
26
51
12
104
47
138
170
11
57
225
8
39
128
22
29
47
6
73
15
60
185
119
89
48
86
7
9
46
230
212
23
5
17
108
19
27
81
38
46
42
10
9
15
7
30
24
22
202
16
17
26
47
6
102
25
111
105
7
30
200
7
36
124
19
19
39
5
47
10
40
131
133
48
43
52
5
7
30
169
190
46
4
12
89
18
26
73
32
27
38
8
4
9
5
21
15
12
122
17
15
17
37
3
101
23
159
212
16
110
241
9
48
122
20
41
57
7
82
14
79
246
106
60
9
140
8
9
61
300
225
55
7
30
130
17
28
88
37
72
50
16
12
19
8
28
27
18
159
20
18
24
49
18
97
39
126
153
9
53
210
6
38
115
14
23
46
5
53
12
49
180
95
65
54
84
6
7
38
223
202
21
4
16
108
13
25
72
30
37
30
8
7
14
6
19
20
17
170
26
15
20
18
4
95
21
53
101
94
6
25
187
7
35
111
13
16
39
4
34
8
33
128
111
35
47
51
4
5
24
164
182
7
3
11
89
11
20
65
25
21
27
6
3
8
5
13
11
10
103
14
15
9
14
1
94
19
167
224
18
111
250
11
48
129
23
45
58
8
98
14
88
249
120
72
9
142
9
11
67
305
230
31
9
31
130
21
30
91
42
81
61
18
14
21
9
37
31
21
174
26
21
25
50
15
101
43
132
162
10
55
217
7
39
122
18
26
47
5
63
14
54
183
107
77
51
85
6
8
42
227
207
22
5
17
108
16
26
77
34
41
36
9
8
15
6
24
22
20
186
21
16
23
34
5
99
23
106
100
6
28
194
7
36
118
16
17
39
4
41
9
36
130
122
42
45
51
5
6
27
167
186
28
3
12
89
15
23
69
28
24
32
7
4
8
5
17
13
11
112
15
15
13
26
2
97
21
357
445
209
281
480
107
385
310
263
215
230
155
264
164
195
575
310
255
567
352
116
143
272
572
445
209
128
203
265
289
146
347
138
165
281
263
176
94
236
285
239
318
441
272
204
217
295
80
275
217
313
542
198
182
438
90
436
304
222
172
219
136
309
179
164
457
333
383
463
306
100
105
191
443
444
261
107
171
230
253
139
310
158
161
241
216
155
80
163
310
237
445
585
214
205
259
235
74
272
191
286
498
177
100
412
77
427
318
214
154
187
118
291
173
147
485
368
356
448
281
78
88
209
374
424
255
81
155
216
232
140
292
170
118
227
205
128
77
108
312
220
396
330
180
193
305
235
59
271
186
329
357
128
346
374
62
329
274
121
120
195
67
194
73
133
389
247
174
399
350
67
93
136
413
366
75
65
122
235
112
101
278
99
123
167
102
80
82
102
155
114
117
381
193
147
140
268
40
232
139
281
492
112
161
369
54
368
263
121
99
183
61
189
98
106
415
238
286
313
296
67
67
121
365
394
90
61
96
205
140
85
252
103
119
129
86
66
77
62
155
106
161
516
134
117
165
203
39
229
106
240
468
97
72
365
44
384
262
104
89
156
53
145
90
88
458
304
290
303
273
57
57
123
340
399
89
53
84
190
112
83
235
105
95
117
77
52
53
43
141
90
147
281
95
94
169
203
48
227
103
343
400
170
312
427
84
359
290
193
168
213
112
229
118
164
480
278
213
495
351
92
118
206
497
405
147
97
169
251
210
124
317
119
144
226
184
127
90
171
218
177
218
408
233
175
179
282
60
253
187
297
517
157
172
401
72
403
282
172
136
201
99
250
140
135
435
286
332
395
301
84
86
156
408
419
182
85
143
218
199
112
283
132
140
187
152
111
78
113
232
173
309
547
174
161
214
220
57
249
156
263
481
139
86
386
61
405
290
160
121
172
86
219
131
118
470
336
320
381
277
68
72
165
359
411
178
67
129
204
175
112
264
139
106
174
142
90
72
76
227
156
273
303
138
144
242
220
53
247
154
1. Mortality and burden of disease
Life expectancy at birtha
(years)
Member State
Male
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Thailand
The former Yugoslav Republic of
Macedonia
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzania
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
Healthy life expectancy
(HALE) at birthb
(years)
Female
Both sexes
Male
Female
Neonatal
mortality
ratec
(per 1000
live births)
Both sexes
1990
2000
2008
1990
2000
2008
1990
2000
2008
54
69
64
38
73
67
70
66
44
59
73
61
58
64
61
75
74
65
60
65
70
55
69
67
37
76
69
72
67
47
55
76
62
57
66
51
77
77
69
62
63
69
58
71
68
48
79
71
75
68
47
52
78
63
57
68
48
79
80
70
66
66
72
55
75
76
44
77
76
78
69
49
68
80
71
57
69
64
80
81
70
65
71
74
58
74
76
45
81
77
80
71
49
61
83
73
57
72
54
82
83
74
65
72
75
61
76
76
50
83
79
82
71
49
55
84
76
58
75
48
83
84
75
69
74
76
54
72
69
41
75
71
74
68
46
63
77
66
57
66
63
78
77
67
63
68
72
57
72
72
41
78
73
76
69
48
58
79
67
57
69
53
80
80
71
64
68
72
59
74
72
49
81
75
79
70
48
53
81
69
57
71
48
81
82
72
67
70
74
50
64
60
34
71
64
69
59
44
47
71
61
50
58
42
72
73
62
58
59
65
52
66
65
37
75
70
74
60
46
48
76
65
50
64
42
75
76
65
57
65
66
51
65
63
35
73
67
71
59
45
48
74
63
50
61
42
74
75
63
57
62
66
34
5
7
45
1
3
2
14
61
20
2
9
41
12
18
2
3
8
22
10
7
48
52
64
66
69
62
58
61
45
65
72
73
51
72
69
63
65
70
64
56
50
58
55
54
67
65
71
67
59
63
44
62
75
75
49
74
71
63
67
71
68
60
42
42
59
56
71
66
73
72
60
64
51
62
77
78
52
76
72
66
68
71
70
63
47
42
53
57
73
71
72
67
65
63
49
75
75
78
52
79
76
69
67
74
68
58
54
65
60
59
71
73
75
73
65
63
46
73
78
80
49
80
79
68
70
77
72
62
45
45
64
61
70
73
77
77
67
63
53
74
80
82
53
81
79
71
70
78
75
66
49
42
50
55
68
69
70
65
62
62
47
70
73
76
52
75
72
66
66
72
66
57
52
61
57
56
69
69
73
70
62
63
45
68
76
78
49
77
75
66
68
74
70
61
43
44
62
59
71
70
75
74
63
64
52
68
78
80
53
78
75
68
69
75
73
64
48
42
52
49
64
59
65
64
53
58
41
55
68
71
45
68
64
58
61
64
62
53
39
40
55
52
62
64
67
67
57
58
44
64
68
73
45
72
70
60
62
68
66
55
40
38
53
51
63
62
66
66
55
58
42
60
68
72
45
70
67
59
61
66
64
54
40
39
43
33
9
24
12
14
21
14
31
8
5
3
33
4
8
20
13
10
9
32
36
28
54
2007
2008
MDG 4
Infant mortality ratea
(probability of dying by age 1
per 1000 live births)
Male
Female
Adult mortality ratea
(probability of dying between 15 and 60 years
per 1000 population)
MDG 4
Under-five mortality ratea
(probability of dying by age 5
per 1000 live births)
Both sexes
Male
Female
Table 1
WORLD HEALTH STATISTICS
2010
Both sexes
Male
Female
Both sexes
1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008
80
24
19
178
8
14
10
32
121
49
8
26
75
48
65
7
7
36
106
30
33
73
13
10
165
3
10
6
31
121
59
5
20
70
37
87
4
5
23
87
19
18
63
7
10
135
3
7
3
30
121
54
4
15
67
28
62
2
4
17
63
14
12
64
22
11
148
7
10
7
31
117
38
7
20
81
39
59
5
6
24
76
22
30
58
9
13
137
2
7
4
30
117
45
4
15
76
29
79
3
4
15
63
15
16
50
6
9
112
2
5
2
29
117
42
3
12
72
21
56
2
4
11
45
11
9
72
23
15
163
7
12
8
31
119
44
7
23
78
44
62
6
7
30
91
26
32
66
11
12
151
3
8
5
30
119
52
4
17
73
33
83
3
5
19
75
17
17
57
7
10
123
2
6
2
30
119
48
4
13
70
25
59
2
4
14
54
13
10
158
28
21
296
10
16
12
37
197
63
10
33
116
54
86
8
9
44
136
36
37
139
15
13
268
4
12
6
36
197
83
6
24
108
41
127
5
6
27
109
22
20
114
8
12
206
3
8
4
35
197
76
5
19
103
31
86
3
5
20
74
16
13
140
25
12
260
8
12
8
39
203
48
8
24
131
48
81
6
8
29
97
27
35
123
11
14
236
4
8
5
38
203
62
5
18
122
35
120
3
5
17
78
18
18
102
7
11
181
2
6
2
37
203
58
4
15
115
24
81
3
4
13
53
12
10
149
26
17
278
9
14
10
38
200
56
9
29
124
51
84
7
9
37
117
32
36
131
13
14
252
4
10
6
37
200
73
6
21
115
38
124
4
6
22
94
20
19
108
8
11
194
3
7
3
36
200
67
4
17
109
27
83
3
5
16
64
14
11
337
184
317
545
152
269
207
225
524
346
146
361
288
265
257
114
126
248
217
259
153
322
209
248
637
97
215
167
205
443
452
122
341
336
241
485
87
99
194
218
328
195
293
183
232
422
82
195
132
182
459
563
102
315
335
218
631
76
76
179
185
276
151
307
94
127
385
93
103
81
174
369
191
60
156
288
175
205
66
62
187
180
147
87
281
106
99
406
56
79
72
151
359
330
49
131
302
165
408
56
54
130
179
163
90
247
91
109
368
47
73
55
136
373
479
43
93
304
128
616
48
44
120
162
140
80
323
139
225
469
123
187
144
201
450
271
103
265
288
221
230
90
95
218
198
204
120
302
158
175
530
77
147
121
179
401
392
86
242
319
204
444
72
77
162
199
248
144
269
138
172
393
64
135
95
160
416
520
72
209
319
174
620
62
60
150
173
209
116
155
103
23
33
44
75
93
43
128
22
16
9
100
11
24
65
23
30
39
96
117
53
112
88
19
34
26
40
68
37
110
20
11
6
89
8
16
56
25
23
24
76
116
64
84
74
18
33
21
22
50
30
95
16
8
5
69
7
15
36
27
18
12
56
102
64
120
75
16
27
35
62
67
41
99
14
13
7
94
8
21
57
23
23
40
83
93
49
87
64
16
26
20
33
49
32
85
13
9
5
85
7
12
49
25
17
24
66
93
59
65
54
16
29
16
18
36
30
74
11
6
4
65
6
13
31
27
14
12
49
82
59
138
89
19
30
40
69
81
42
114
18
15
8
97
10
22
61
23
27
39
90
105
51
100
76
18
30
23
36
59
35
98
17
10
6
87
7
14
53
25
20
24
71
104
62
75
64
17
31
18
20
43
30
84
14
7
5
67
7
14
34
27
16
12
53
92
62
208
171
24
38
54
92
112
54
204
26
19
11
156
13
27
77
26
35
58
131
188
82
146
138
22
40
31
45
81
42
174
24
12
7
138
9
19
65
28
26
31
101
185
106
105
111
20
36
24
24
54
36
148
19
8
6
103
9
17
40
31
20
14
71
162
99
158
129
20
31
45
76
84
52
167
16
15
8
159
10
23
70
28
28
53
123
154
76
111
105
19
29
24
38
61
43
141
14
10
6
140
8
14
60
30
20
29
95
152
98
80
84
18
34
18
20
41
36
121
12
7
5
104
7
14
37
34
16
13
67
133
92
184
150
22
34
50
84
99
53
186
21
17
10
157
11
25
74
27
32
56
127
172
79
129
122
20
34
27
42
71
42
158
19
11
6
139
9
16
62
29
23
30
98
169
102
93
98
19
35
21
22
48
36
135
15
8
6
103
8
16
38
33
18
14
69
148
96
403
353
313
236
146
217
301
272
516
287
140
129
414
172
196
250
271
178
235
304
382
352
322
367
219
252
144
187
347
273
618
377
101
108
531
144
181
252
222
185
202
271
668
766
275
351
143
219
132
138
377
257
451
399
78
96
475
135
158
223
202
195
192
249
538
812
329
287
128
156
103
151
192
280
433
112
111
78
356
91
98
144
237
117
168
277
322
215
256
304
187
155
88
112
208
262
586
136
77
67
497
83
90
151
180
98
136
229
597
660
204
296
228
107
72
73
212
279
424
151
60
59
444
79
85
140
162
93
110
185
498
752
368
320
222
195
124
185
247
276
475
199
131
104
385
132
147
198
256
148
200
288
352
285
289
335
202
203
117
150
278
267
600
257
95
88
513
114
135
202
202
143
167
249
632
711
240
323
188
163
103
106
296
268
436
277
73
78
458
107
121
181
182
146
150
217
515
772
55
1. Mortality and burden of disease
Life expectancy at birtha
(years)
Member State
Male
Healthy life expectancy
(HALE) at birthb
(years)
Female
Both sexes
Male
Female
Neonatal
mortality
ratec
(per 1000
live births)
Both sexes
1990
2000
2008
1990
2000
2008
1990
2000
2008
2007
2008
28
64
76
37
67
78
40
68
81
41
70
82
44
73
85
42
74
86
36
67
79
41
70
81
42
71
83
34
60
74
36
64
78
35
62
76
0
12
61
49
68
58
68
59
68
49
71
61
68
62
70
52
73
63
71
63
72
53
75
59
75
62
71
52
77
63
77
65
74
54
79
66
79
66
77
51
71
58
72
61
69
50
74
62
72
63
72
53
76
65
75
65
75
45
65
56
64
55
65
46
69
57
70
57
69
45
67
57
67
56
67
40
9
34
7
35
11
Low income
Lower middle income
Upper middle income
High income
52
61
65
72
53
63
65
75
56
65
67
77
55
63
72
79
56
66
73
81
59
69
75
83
54
62
68
76
55
65
69
78
57
67
71
80
48
60
58
68
49
62
63
72
49
61
61
70
37
29
11
4
GLOBAL
62
64
66
66
68
70
64
66
68
58
61
59
26
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
WHO REGION
African Region
Region of the Americas
South-East Asia Region
European Region
Eastern Mediterranean Region
Western Pacific Region
INCOME GROUP
56
MDG 4
Infant mortality ratea
(probability of dying by age 1
per 1000 live births)
Male
Female
Adult mortality ratea
(probability of dying between 15 and 60 years
per 1000 population)
MDG 4
Under-five mortality ratea
(probability of dying by age 5
per 1000 live births)
Both sexes
Male
Female
Table 1
WORLD HEALTH STATISTICS
2010
Both sexes
Male
Female
Both sexes
1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008 1990 2000 2008
5
39
178
3
31
172
2
22
172
4
36
161
2
25
158
1
18
158
5
37
168
3
28
165
1
21
165
7
49
310
4
37
268
3
26
258
6
45
300
3
30
256
1
20
256
6
46
305
3
34
257
2
23
257
80
262
920
74
239
766
59
223
812
40
154
445
39
142
660
39
127
752
60
206
774
57
197
711
53
175
772
116
36
81
30
82
32
105
24
64
20
69
25
91
17
49
13
60
17
99
29
79
24
72
41
90
20
62
16
62
32
79
14
47
10
54
20
108
33
80
27
77
36
98
22
63
18
66
28
85
15
48
12
57
18
191
45
110
36
108
42
173
29
84
24
91
32
149
20
61
15
79
20
174
37
116
29
102
50
157
24
90
19
89
38
136
17
66
12
78
23
182
41
113
32
105
46
165
27
87
22
90
34
142
18
63
14
78
21
417
206
299
215
267
190
453
179
283
229
243
160
412
162
252
208
231
142
325
116
248
97
215
137
389
101
219
98
188
102
374
90
183
90
172
83
371
162
274
157
242
165
421
140
252
165
217
132
392
126
218
149
203
113
108
63
41
11
95
55
29
7
81
45
21
6
93
64
32
9
82
55
23
6
70
44
17
5
101
64
37
10
88
55
26
7
76
44
19
6
165
88
50
13
143
76
35
9
123
61
25
8
150
94
40
11
130
81
28
7
112
65
20
6
158
91
45
12
137
78
32
8
118
63
23
7
364
254
261
155
374
235
276
129
333
210
251
113
299
198
128
77
318
172
134
67
287
144
129
61
331
227
195
117
345
205
206
98
310
178
191
87
63
55
46
60
52
43
62
54
45
90
79
66
89
78
65
90
78
65
246
236
213
173
163
146
210
200
180
57
Table 2
WORLD HEALTH STATISTICS
2010
Cause-specific mortality and morbidity
This section brings together indicators on the level and distribution of specific causes of deaths grouped as follows:
communicable, maternal and perinatal conditions and nutritional deficiencies; noncommunicable conditions; and
injuries.
Estimates are also provided of the distribution of causes of death among children under 5 years old. These include
major communicable diseases such as HIV/AIDS, diarrhoea, malaria, measles and pneumonia, as well as conditions
arising in the neonatal period such as prematurity, birth asphyxia, neonatal sepsis and congenital anomalies.
The “years of life lost” (YLL) is a measure of premature mortality that takes into account both the frequency of
deaths and the age at which death occurs. The distribution of YLL by broad cause differs significantly by countryincome group (Figure 9 and Box 2).
The country-specific indictors presented in this section have been derived from a range of data sources on
mortality, incidence and prevalence data. These include death-registration records; health-facility reports; household
surveys; censuses; and special studies on deaths due to HIV and conflict. There are considerable uncertainty ranges
for many countries due to limitations in data availability, quality and timeliness. Uncertainty in estimated all-cause
mortality for 2008 ranges from ±1% for high-income countries to ±15–20% for sub-Saharan Africa, reflecting a large
difference in data availability. Uncertainty ranges are generally larger for deaths from specific causes. For example, the
relative uncertainty for deaths from ischaemic heart disease ranges from around ±12% for high-income countries to
±25–35% for sub-Saharan Africa.
The section also includes estimates for key MDG-related indicators, including mortality due to maternal
conditions, HIV/AIDS, tuberculosis and malaria. Estimating cause-specific mortality is difficult in developing
countries where systems for counting deaths and accurately recording cause-of-death are weak or non-existent. These
indicators are, therefore, associated with significant uncertainty – in the case of tuberculosis indicators the margins of
uncertainty are provided.
Estimating maternal mortality is also particularly challenging because few developing countries have robust
sources of data. Reported figures are derived from different sources and are of variable quality in terms of
completeness, timeliness, reliability and accuracy. WHO and its partners are working to develop revised estimates that
will be available during the second half of 2010. In the meantime, country-reported figures and 2005 interagency
estimates are provided, along with the estimated margins of uncertainty.
Estimates of both disease incidence and prevalence are provided for tuberculosis and HIV/AIDS. Incidence is the
number of new cases each year, while prevalence is the number of people with the disease at a specific point in time.
Because not all people with infection attend health facilities, household surveys are required to obtain the true number
of cases. Such surveys, however, only provide reliable data if the condition is sufficiently common. Tuberculosis
surveys require very large sample sizes and are rarely conducted. Therefore, estimates for many countries depend upon
modelling which relies heavily on the notification rate for tuberculosis; as a result the uncertainty range associated
with both its incidence and prevalence is large. In countries with generalized HIV/AIDS epidemics, prevalence
estimates are derived from the testing of pregnant women attending antenatal clinics and, more recently, from
population-based surveys which include HIV testing. In concentrated HIV/AIDS epidemics, estimates are largely
based upon surveillance among populations with high-risk behaviours.
59
WORLD HEALTH STATISTICS
2010
Figure 9: Years of life lost (YLL) due to premature mortality by broad cause and country-income group – 200419
Low income
Middle income
High income
10%
22%
21%
28%
15% 8%
90
69%
234
50%
103
77%
55
Years of life lost (YLL) per 1000 population
Communicable diseases, maternal and perinatal conditions and nutritional deficiencies
Noncommunicable conditions
Injuries
19
Income categories for 2004 shown in Figure 9 are as defined by the World Bank’s World development report 2004: Making services work for poor people.
Washington, DC, World Bank and Oxford University Press, 2003.
60
Table 2
WORLD HEALTH STATISTICS
2010
Box 2: Years of life lost (YLL)
YLL take into account the age at which deaths occur by assigning greater statistical weight to deaths
occurring at younger ages and lower statistical weight to deaths occurring at older ages. In Figure 9, the
YLL due to each major group of causes are shown as a proportion of the total YLL lost due to all premature
mortality in the population. Each income-level chart is proportional in size in terms of the absolute
number of YLL per 1000 population. Three major conclusions emerge from the data:
Low-income countries have the highest rates of premature mortality relative to their populations – total
YLL per 1000 population are more than four times higher in low-income countries compared with highincome countries, and more than double the figure in middle-income countries.
The distribution of YLL by cause differs significantly by country-income group – in low-income countries,
over two thirds of YLL per 1000 population are due to communicable diseases, maternal and perinatal
conditions, and nutritional deficiencies. By contrast, these causes account for around one quarter of YLL
per 1000 population in middle-income countries, and under 10% in high-income countries.
In high-income and middle-income countries, noncommunicable conditions are the major contributors
to YLL – these conditions account for over three quarters of YLL per 1000 population in the former
and half the total in the latter. In low-income countries, noncommunicable conditions account for a
smaller percentage (21%) of total YLL per 1000 population. Nonetheless, in absolute terms, YLL due to
noncommunicable diseases are higher in low-income countries than high-income ones.
61
2. Cause-specific mortality and morbidity
Mortality
TB among
HIV-negative
peoplee
2007
2006
2008
Afghanistan
Albania
1 600
15
1 800 [730–3 200]
92 [26–300]
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Cook Islands
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
93
0
1 400
…
44
15
8
3
35
…
19
380
…
7
1
…
397
255
…
…
193
77
16
7
307
615
461
669
9
42
1 355
…
18
34
75
380
781
0
…
543
7
47
11
6
97
549
14
180
…
1 400
…
77
76
4
4
82
16
32
570
16
18
8
52
840
440
290
3
380
110
13
11
700
1 100
540
1 000
7
210
980
1 500
16
45
130
400
740
…
30
810
7
45
10
4
370
1 100
3
[55–520]
[560–2 600]
[51–100]
[23–250]
[4–9]
[4–7]
[21–290]
[16–33]
[21–42]
[380–760]
[16–31]
[18–35]
[8–16]
[52–100]
[330–1 600]
[160–970]
[160–430]
[3–6]
[120–1 000]
[74–150]
[3–47]
[11–22]
[390–1 000]
[480–1 900]
[370–720]
[670–1 400]
[7–13]
[68–530]
[380–1 900]
[930–2 000]
[16–32]
[30–60]
[38–370]
[150–840]
[450–1 100]
[30–60]
[310–1 600]
[7–15]
[45–90]
[10–20]
[4–9]
[110–1 200]
[480–1 900]
[3–6]
2004
Injuries
Malariad
2005
Noncommunicable
HIV/AIDSc
2000–2009
Distribution of years
of life lost by broader
causesf,h (%)
Communicable
Interagency
estimatesb
MDG 6
Country reported
estimatesa
MDG 6
Age-standardized
mortality rates by
causef,g
(per 100 000 population)
Injuries
Cause-specific mortality rate
(per 100 000 population)
Noncommunicable
MDG 5
Maternal mortality ratio
(per 100 000
live births)
Communicable
Member State
2004
…
…
0.5
…
34 [14–66]
1.4 [0.5–2.9]
961
52
1 309
752
97
58
77
12
18
71
5
16
<10
…
65
…
18
<10
<10
…
<10
<100
…
<10
<50
11
<10
<100
37
…
<10
…
585
8
…
…
62
129
48
210
<10
…
253
130
7
3
21
…
170
…
<10
197
…
<10
…
…
…
…
…
0.0
…
128
…
0.0
0.0
…
…
0.0
…
…
4.2
…
…
…
0.0k
146
3.0
0.2
…
1.6
0.5
…
…
178
94
4.1
116
…
0.1
100
173
…
0.0k
1.0
36
124
…
0.0k
103
…
…
…
…
0.0
158
…
4.1
0.3
25
0.1
3.1
12
0.4
0.5
21
0.7
2.8
50
0.0
5.2
0.5
5.1
15
15
22
3.4
38
3.8
4.2
5.8
51
69
79
16
0.3
33
41
60
0.8
12
4.6
8.0
42
4.0
0.7
75
1.6
0.4
0.3
0.6
39
77
0.4
[1.4–9.0]
218
25
1 287
97
88
75
21
18
173
167
62
413
97
31
28
158
700
376
290
27
1 379
139
37
32
900
1 127
660
883
22
257
1 034
963
46
86
87
360
758
152
39
1 135
32
49
34
22
317
1 094
21
565
373
1 071
674
515
1 064
355
409
856
509
678
730
531
854
437
677
835
708
765
670
594
625
473
733
924
919
832
840
374
591
868
910
458
627
483
713
716
570
439
946
578
437
412
559
642
921
495
60
29
206
45
46
44
32
38
27
76
37
100
38
150
44
118
82
99
74
41
111
78
29
42
110
200
73
96
33
66
173
117
46
73
150
61
99
35
54
250
49
50
27
52
62
207
38
43
7
81
17
18
13
6
4
37
36
12
61
22
5
5
33
78
57
54
6
84
30
16
5
82
80
67
78
6
53
78
82
10
20
22
66
79
29
14
74
5
9
9
4
40
81
4
42
80
11
70
67
79
78
82
57
45
68
27
66
71
81
41
16
30
34
83
10
50
65
87
12
11
25
15
79
31
13
12
71
59
34
25
13
58
64
14
84
75
78
83
49
10
85
15
12
8
12
15
7
16
13
6
19
20
12
12
24
15
26
6
13
11
11
7
20
20
8
6
9
8
7
15
16
9
6
19
21
44
9
8
13
22
12
12
16
14
14
11
9
11
62
[0.1–0.6]
[9.9–51]
[0.0–0.2]
[1.2–6.5]
[5.9–22]
[0.2–0.7]
[0.5–0.6]
[11–38]
[0.3–1.1]
[1.2–4.9]
[20–95]
[0.0–0.1]
[2.5–9.0]
[0.2–0.9]
[2.2–10]
[6.3–30]
[5.4–31]
[9.4–43]
[1.2–6.8]
[14–84]
[1.4–7.9]
[1.9–7.1]
[2.9–9.7]
[18–98]
[25–130]
[33–150]
[6.7–32]
[0.1–0.5]
[13–64]
[17–79]
[22–120]
[0.3–1.7]
[4.8–25]
[2.0–9.3]
[3.3–15]
[18–83]
[1.6–7.7]
[0.2–1.5]
[28–140]
[0.7–2.8]
[0.1–0.9]
[0.2–0.6]
[0.3–1.0]
[17–75]
[31–150]
[0.2–0.8]
WORLD HEALTH STATISTICS
2010
Morbidity
MDG 6
Incidence of tuberculosisj
(per 100 000
population per year)
2000
2000
Injuries
Other diseases
Congenital
abnormalities
Neonatal sepsis
Birth asphyxia
Prematurity
Pneumonia
Malaria
Measles
Diarrhoea
HIV/AIDS
MDG 6
Prevalence of tuberculosisj
(per 100 000 population)
2008
0
0
0
0
2
0
0
0
0
0
0
1
0
0
4
0
0
4
1
0
0
0
0
0
0
0
1
2
0
5
0
0
7
3
0
0
0
0
5
0
0
4
0
0
0
0
0
1
0
29
2
13
0
25
1
1
2
0
0
11
1
1
11
0
1
1
7
13
14
15
1
7
5
2
2
19
24
7
16
0
8
17
22
0
3
4
20
14
0
1
13
1
1
0
1
12
19
1
1
0
1
0
1
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
0
0
0
0
0
0
0
1
1
1
0
6
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
8
0
0
0
0
0
0
0
0
2
0
0
0
0
23
0
0
0
1
0
0
0
20
9
1
19
0
0
14
19
0
0
0
0
24
0
0
21
0
0
0
0
0
17
0
26
18
19
5
20
7
7
17
2
1
22
9
1
14
2
4
1
11
19
24
18
14
12
9
1
21
21
17
28
18
1
14
20
19
6
17
12
22
16
15
5
17
4
11
4
5
20
20
1
5
14
22
20
6
48
30
26
22
25
22
12
24
17
37
10
14
18
10
14
16
24
23
23
15
17
6
7
11
8
27
24
9
6
25
15
19
16
11
15
23
12
20
10
23
14
21
10
34
5
7
13
8
6
7
5
10
9
9
10
14
7
18
16
6
8
9
6
11
13
10
11
10
7
9
5
7
10
6
12
12
7
6
5
17
7
9
6
0
9
9
7
7
6
13
12
7
9
4
1
6
1
5
1
6
2
1
0
5
9
1
16
5
2
2
4
2
7
8
1
4
7
2
2
3
6
8
4
2
5
4
3
3
2
7
6
4
0
6
6
5
9
1
3
7
4
0
2
22
8
34
2
20
25
17
24
32
7
19
43
4
13
30
32
15
3
4
5
24
10
15
36
18
2
2
2
2
24
9
2
1
35
10
17
3
3
19
30
3
36
24
35
23
6
3
31
25
26
17
23
23
11
20
22
33
25
21
25
14
16
17
30
31
20
19
22
22
19
27
26
24
25
21
21
29
18
27
19
18
19
21
25
25
22
15
31
22
14
20
31
22
29
19
17
20
4
11
2
10
3
5
7
4
8
7
2
11
10
2
6
17
10
11
2
4
3
7
5
5
13
6
3
4
3
2
6
3
1
1
6
11
7
2
2
20
3
1
6
8
9
12
2
2
4
470
11
15
18
360
8
33
85
4
13
160
17
43
520
0
44
10
11
130
200
210
18
300
52
98
15
410
520
1 000
270
3
300
440
510
5
210
47
99
270
3
4
620
28
7
1
9
720
650
9
63
[320–660]
[3–25]
[10–51]
[9–29]
[210–540]
[5–12]
[9–64]
[42–140]
[1–7]
[6–22]
[69–250]
[7–29]
[19–75]
[350–740]
[0–1]
[11–84]
[3–17]
[8–39]
[77–190]
[55–400]
[100–350]
[12–65]
[96–560]
[20–93]
[51–160]
[8–39]
[280–570]
[340–750]
[680–1 500]
[180–390]
[1–6]
[190–440]
[290–640]
[340–720]
[3–19]
[140–310]
[22–80]
[62–150]
[130–460]
[2–8]
[3–14]
[420–880]
[10–49]
[3–13]
[1–4]
[2–17]
[480–1 000]
[420–950]
[4–16]
2008
270
9
15
2
190
0
22
67
5
1
140
9
28
410
1
11
3
43
130
96
170
14
560
29
43
23
490
670
680
150
3
280
420
580
4
88
37
65
390
32
3
730
16
2
3
6
270
660
4
[150–430]
[2–19]
[10–59]
[1–4]
[53–370]
[0–1]
[5–45]
[24–120]
[2–8]
[1–2]
[71–230]
[3–15]
[7–58]
[260–610]
[1–2]
[8–41]
[1–8]
[22–72]
[81–210]
[24–200]
[88–290]
[9–42]
[300–920]
[7–59]
[15–78]
[6–46]
[340–680]
[460–960]
[400–1 100]
[71–270]
[1–5]
[180–410]
[260–640]
[390–820]
[2–12]
[31–160]
[16–64]
[39–100]
[200–650]
[19–50]
[2–11]
[480–1 000]
[5–30]
[1–6]
[1–6]
[2–10]
[110–480]
[420–980]
[1–7]
190
23
48
21
250
6
40
71
6
17
110
31
40
220
1
75
14
40
85
250
180
63
640
60
110
46
200
320
530
170
6
160
300
260
19
110
43
56
350
7
14
370
42
11
5
16
340
340
13
[150–230]
[20–27]
[38–57]
[18–23]
[200–300]
[5–7]
[32–49]
[57–85]
[5–7]
[15–19]
[88–130]
[27–35]
[32–48]
[180–270]
[1–2]
[68–89]
[13–16]
[32–48]
[68–100]
[200–300]
[150–220]
[50–75]
[540–770]
[48–72]
[92–120]
[42–55]
[160–240]
[260–390]
[420–640]
[130–200]
[5–7]
[130–190]
[240–360]
[210–310]
[16–23]
[84–130]
[34–52]
[45–68]
[300–420]
[6–8]
[11–16]
[290–440]
[36–47]
[11–14]
[4–6]
[14–18]
[280–410]
[270–410]
[11–14]
2008
190
16
58
5
290
1
30
73
7
0
110
16
46
220
1
43
9
40
92
160
140
51
710
46
65
43
220
360
490
190
5
150
340
290
11
97
36
40
390
20
11
410
25
6
6
9
340
380
7
[150–230]
[14–19]
[46–70]
[5–6]
[250–350]
[1–2]
[24–36]
[58–87]
[6–8]
[0–0]
[88–130]
[14–18]
[39–55]
[180–270]
[1–2]
[35–52]
[8–10]
[32–48]
[73–110]
[140–200]
[120–170]
[45–61]
[570–850]
[38–56]
[57–74]
[39–51]
[180–260]
[290–430]
[390–590]
[150–220]
[4–6]
[120–180]
[270–400]
[230–350]
[9–14]
[78–120]
[29–43]
[32–48]
[310–470]
[16–24]
[9–13]
[330–490]
[22–29]
[5–7]
[5–6]
[8–10]
[300–410]
[310–460]
[6–8]
MDG 6
Prevalence
of HIV
among
adults
aged
15–49
yearsc (%)
2007
…
…
0.1
…
2.1
…
0.5
0.1
0.2
0.2
0.2
3.0
…
…
1.2
0.2
0.2
2.1
1.2
0.1
0.2
<0.1
23.9
0.6
…
…
1.6
2.0
0.8
5.1
0.4
…
6.3
3.5
0.3
0.1
0.6
<0.1
3.5
…
0.4
3.9
<0.1
0.1
…
…
…
…
0.2
Table 2
Mortality
Distribution of causes of death among children aged <5 yearsh,i (%)
2. Cause-specific mortality and morbidity
Mortality
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
TB among
HIV-negative
peoplee
2007
2006
2008
546
…
86
95
59
82
…
450
0
673
31
8
8
519
556
20
6
451
2
56
149
980
818
113
630
…
8
0
254
307
25
84
1
7
2
93
3
41
25
…
158
2
61
405
26
23
762
994
27
650
…
150
210
130
170
680
450
25
720
210
7
8
520
690
66
4
560
3
…
290
910
1 100
470
670
280
6
4
450
420
140
300
1
4
3
170
6
62
140
560
…
4
150
660
10
150
960
1 200
97
[240–1 400]
[90–210]
[65–560]
[84–170]
[55–460]
[210–1 600]
[180–850]
[25–50]
[460–980]
[55–720]
[7–15]
[8–16]
[290–760]
[250–1 500]
[18–230]
[4–9]
[200–1 300]
[2–4]
[100–650]
[590–1 200]
[500–1 800]
[140–1 600]
[390–960]
[190–380]
[6–11]
[4–8]
[300–600]
[240–600]
[95–190]
[110–600]
[1–2]
[4–9]
[3–6]
[51–510]
[6–12]
[41–82]
[40–500]
[340–800]
[4–8]
[43–460]
[190–1 600]
[10–19]
[41–500]
[570–1 400]
[520–2 100]
[28–300]
132
…
42
10
<10
25
…
54
<50
81
…
…
3
173
…
…
<10
89
<10
…
29
48
65
<200
75
27
…
…
…
4
6
…
<10
<10
3
55
<10
…
<10
…
…
…
<10
<10
<50
<10
896
61
…
64
14
…
0.3
0.2
0.0
0.0k
220
1.6
…
51
…
…
…
96
106
0.0k
…
109
…
…
0.1
164
180
10
7.8
0.1
…
…
1.3
1.5
0.0k
0.0
…
…
…
…
…
…
…
74
…
…
0.0k
1.1
…
…
…
171
…
81
1.1
12
13
3.1
2.7
5.0
9.0
1.9
64
3.2
0.5
0.4
41
44
13
0.3
44
0.3
0.3
12
60
25
15
32
9.5
1.0
0.1
23
27
3.0
14
0.5
0.4
0.4
0.9
1.4
0.5
24
19
25
2.3
25
32
5.5
1.3
27
46
4.2
[35–160]
[0.4–2.6]
[4.9–23]
[5.4–25]
[1.4–5.8]
[1.0–5.3]
[2.1–8.7]
[3.8–18]
[0.7–3.3]
[26–120]
[1.4–6.3]
[0.2–0.8]
[0.1–0.6]
[17–83]
[18–86]
[6.6–22]
[0.1–0.6]
[16–84]
[0.1–0.6]
[0.1–0.8]
[4.6–23]
[23–120]
[11–51]
[6.3–31]
[14–63]
[4.1–19]
[0.4–1.8]
[0.0–0.2]
[10–47]
[12–55]
[1.3–5.9]
[5.4–26]
[0.2–0.9]
[0.1–0.6]
[0.2–0.7]
[0.4–1.8]
[0.6–2.4]
[0.2–1.0]
[12–43]
[6.8–42]
[9.0–46]
[1.1–3.8]
[12–45]
[13–61]
[2.7–9.0]
[0.5–2.4]
[6.7–61]
[19–90]
[1.5–8.9]
2004
603
82
203
134
131
163
967
445
33
886
177
22
26
610
559
98
22
690
23
162
279
692
944
294
693
174
19
18
377
272
92
355
42
26
17
135
39
78
169
1 014
275
53
160
445
36
80
1 374
1 155
85
862
580
794
484
891
518
938
686
664
817
767
405
387
716
830
554
429
699
436
827
515
844
925
835
740
761
693
375
713
690
687
1 018
459
368
372
605
284
711
1 145
729
730
454
1 012
828
710
715
581
931
654
Injuries
Malariad
2005
Noncommunicable
HIV/AIDSc
2000–2009
Distribution of years
of life lost by broader
causesf,h (%)
Communicable
Interagency
estimatesb
MDG 6
Country reported
estimatesa
MDG 6
Age-standardized
mortality rates by
causef,g
(per 100 000 population)
Injuries
Cause-specific mortality rate
(per 100 000 population)
Noncommunicable
MDG 5
Maternal mortality ratio
(per 100 000
live births)
Communicable
Member State
2004
84
32
109
83
36
99
136
90
113
105
36
64
45
97
84
20
28
80
31
47
103
101
104
119
178
68
63
34
116
233
95
486
30
29
29
71
39
59
152
113
22
32
95
129
115
91
72
192
60
72
20
40
34
31
37
78
73
5
82
24
4
6
68
72
25
5
73
4
26
51
77
83
41
67
47
3
4
56
31
28
42
7
9
5
35
8
29
25
82
42
13
35
62
5
20
86
84
29
20
69
40
44
61
39
15
16
72
12
66
75
79
21
21
70
86
20
83
64
32
16
12
43
16
39
86
79
30
32
47
25
79
76
85
48
76
53
56
11
55
61
50
24
73
60
10
9
54
8
11
20
22
8
24
7
11
22
6
10
21
15
11
8
5
9
7
12
11
17
7
5
17
17
14
11
18
14
37
25
34
13
15
10
17
16
18
20
8
3
25
14
14
21
19
5
7
17
WORLD HEALTH STATISTICS
2010
Morbidity
MDG 6
Incidence of tuberculosisj
(per 100 000
population per year)
2000
2000
Injuries
Other diseases
Congenital
abnormalities
Neonatal sepsis
Birth asphyxia
Prematurity
Pneumonia
Malaria
Measles
Diarrhoea
HIV/AIDS
MDG 6
Prevalence of tuberculosisj
(per 100 000 population)
2008
6
0
1
1
0
4
3
4
1
3
1
0
0
10
1
0
0
3
0
0
3
2
2
6
5
1
0
0
0
0
1
0
0
0
0
4
0
0
0
5
0
0
0
0
0
1
17
3
0
19
0
9
6
5
4
9
21
0
23
5
0
1
6
14
6
0
9
0
1
19
14
19
15
20
10
0
0
13
15
10
12
0
0
0
14
1
4
2
21
17
1
14
7
1
2
10
17
4
0
0
0
0
0
0
9
2
0
0
0
0
0
1
1
0
0
2
0
0
0
3
2
0
0
0
0
0
4
0
0
0
0
0
0
0
0
0
0
1
0
0
0
3
0
0
0
2
0
0
0
0
0
0
0
28
0
0
7
0
0
0
29
23
0
0
26
0
0
0
24
18
1
1
0
0
0
0
1
0
0
0
0
0
0
0
0
0
11
0
0
0
0
0
0
0
16
0
19
4
18
17
11
14
12
19
2
15
13
4
2
11
16
19
1
10
8
12
20
17
18
17
20
18
7
0
20
22
16
20
0
2
1
23
6
11
17
16
24
4
22
27
7
8
13
17
9
11
32
26
22
33
21
10
11
10
9
23
19
13
15
11
27
33
12
35
38
19
8
8
16
11
22
24
7
14
19
27
23
15
19
23
13
9
35
1
8
15
28
18
9
7
30
16
10
30
9
11
11
9
6
9
7
7
10
11
9
6
12
8
8
13
7
11
4
14
5
8
6
9
10
12
5
10
10
10
9
12
5
6
7
5
5
6
1
8
8
3
12
11
25
6
13
8
6
6
8
4
2
1
1
4
4
4
9
1
3
3
4
5
5
2
9
0
3
1
6
5
7
6
5
1
8
7
5
4
5
2
2
3
1
2
2
0
6
3
2
4
6
1
1
10
6
1
7
27
9
16
18
19
3
3
27
2
18
37
26
4
3
11
28
4
36
19
5
2
2
8
2
9
26
24
3
6
14
8
48
40
31
9
39
19
15
2
7
48
7
4
30
24
4
2
22
20
14
18
22
21
22
12
24
24
19
24
24
37
10
15
16
23
11
9
11
24
14
18
17
23
19
32
49
25
19
16
16
25
29
30
26
28
18
57
20
23
11
20
31
21
20
14
18
21
2
4
3
6
5
7
1
5
21
3
7
6
7
1
3
3
6
2
9
2
5
1
2
4
2
4
6
3
3
2
4
5
5
4
5
5
11
5
7
3
4
4
3
3
8
8
2
1
7
290
42
130
170
34
37
0
35
53
540
30
8
8
230
300
64
9
420
4
6
120
380
280
130
410
100
18
4
190
450
45
81
5
7
2
6
23
3
120
500
490
16
94
360
53
7
220
480
42
65
[94–630]
[29–57]
[68–200]
[100–260]
[19–52]
[17–65]
[0–0]
[24–88]
[17–99]
[350–800]
[12–53]
[3–14]
[3–14]
[120–390]
[170–490]
[15–130]
[4–16]
[280–600]
[1–8]
[4–10]
[80–180]
[250–550]
[170–420]
[75–200]
[260–620]
[52–170]
[5–36]
[2–6]
[93–320]
[310–640]
[25–71]
[42–130]
[2–11]
[3–13]
[1–5]
[2–10]
[8–42]
[1–7]
[29–230]
[300–770]
[240–830]
[5–30]
[22–200]
[240–510]
[14–100]
[3–16]
[82–370]
[320–680]
[18–74]
2008
670
7
95
110
24
18
63
82
14
560
25
5
2
410
390
42
2
400
3
2
110
550
220
110
290
79
8
1
190
210
23
110
2
3
5
8
12
3
98
180
110
30
140
260
13
8
490
420
28
[330–1 100]
[2–17]
[52–150]
[65–170]
[14–38]
[5–36]
[21–110]
[36–150]
[5–32]
[350–850]
[14–41]
[2–9]
[1–5]
[210–690]
[240–600]
[17–89]
[1–4]
[270–570]
[1–5]
[1–5]
[69–160]
[360–800]
[100–370]
[44–200]
[150–460]
[43–130]
[3–17]
[0–2]
[88–320]
[100–360]
[12–39]
[70–170]
[1–7]
[1–6]
[3–9]
[4–13]
[3–24]
[1–6]
[26–210]
[45–370]
[58–260]
[15–49]
[53–270]
[170–400]
[8–36]
[2–15]
[300–730]
[260–640]
[6–60]
620
14
100
110
26
37
…
85
69
330
30
12
12
250
230
110
13
210
7
4
68
200
190
100
270
120
35
5
170
190
32
64
12
11
7
7
36
7
200
400
420
26
150
160
94
17
550
240
40
[540–740]
[11–17]
[80–120]
[85–130]
[21–30]
[29–44]
[68–100]
[58–82]
[260–400]
[24–36]
[10–13]
[10–13]
[200–310]
[180–270]
[93–130]
[11–14]
[170–250]
[6–8]
[4–5]
[54–81]
[160–240]
[150–230]
[83–120]
[220–330]
[100–140]
[30–39]
[5–6]
[130–200]
[150–230]
[25–38]
[51–77]
[10–13]
[9–12]
[6–8]
[5–8]
[31–40]
[6–9]
[170–240]
[320–490]
[340–500]
[23–30]
[130–180]
[130–190]
[83–110]
[15–20]
[520–660]
[190–290]
[32–48]
2008
620
13
73
72
19
32
130
97
34
370
20
7
6
450
260
110
5
200
6
4
63
300
220
110
250
64
16
2
170
190
20
64
9
6
7
7
22
6
180
330
360
34
160
150
50
14
640
280
40
[500–740]
[11–16]
[58–87]
[58–86]
[16–22]
[28–38]
[110–140]
[78–120]
[30–41]
[290–440]
[16–24]
[6–8]
[5–7]
[360–540]
[210–320]
[100–130]
[5–6]
[160–240]
[5–6]
[3–5]
[50–75]
[240–360]
[180–270]
[90–140]
[200–300]
[52–77]
[14–19]
[2–3]
[130–200]
[150–230]
[16–24]
[51–77]
[8–10]
[5–7]
[6–7]
[5–8]
[19–25]
[6–7]
[150–210]
[260–390]
[350–430]
[30–39]
[130–190]
[120–180]
[46–60]
[12–16]
[590–760]
[230–340]
[32–48]
MDG 6
Prevalence
of HIV
among
adults
aged
15–49
yearsc (%)
2007
3.1
…
1.1
0.3
…
0.8
3.4
1.3
1.3
2.1
0.1
0.1
0.4
5.9
0.9
0.1
0.1
1.9
0.2
…
0.8
1.6
1.8
2.5
2.2
0.7
0.1
0.2
0.3
0.2
0.2
…
0.2
0.1
0.4
1.6
…
…
0.1
…
…
…
0.1
0.2
0.8
0.1
23.2
1.7
…
Table 2
Mortality
Distribution of causes of death among children aged <5 yearsh,i (%)
2. Cause-specific mortality and morbidity
Mortality
Lithuania
Luxembourg
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Republic of Korea
Republic of Moldova
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
TB among
HIV-negative
peoplee
2007
2006
2008
9
19
469
…
28
72
…
0
0
686
…
56
317
0
50
…
227
…
380
449
300
281
5
7
77
648
800
0
9
17
276
0
84
733
127
…
162
3
8
12
15
44
14
24
750
141
…
…
3
11
12
510
1 100
62
120
970
8
…
820
15
60
…
…
46
…
240
520
380
210
…
830
6
9
170
1 800
1 100
…
7
64
320
…
130
470
150
240
230
8
11
12
14
22
24
28
1 300
…
…
…
…
[11–22]
[12–23]
[290–740]
[720–1 500]
[41–82]
[42–260]
[620–1 300]
[8–17]
[480–1 200]
[15–30]
[60–120]
[46–93]
[140–350]
[360–680]
[260–510]
[110–300]
[290–1 900]
[6–12]
[9–18]
[120–230]
[840–2 900]
[440–2 000]
[7–15]
[18–200]
[99–810]
[39–410]
[130–1 300]
[99–200]
[170–310]
[60–700]
[5–10]
[7–14]
[8–16]
[14–27]
[22–44]
[24–49]
[28–55]
[770–1 800]
<10
…
<10
488
15
…
47
…
…
<50
…
10
…
…
…
…
<10
379
51
246
…
18
<10
…
<10
28
115
…
…
…
3
…
<50
<50
<50
12
<10
<10
<10
…
<10
<10
…
28
80
…
…
…
…
66
…
…
12
95
0.1
…
201
…
…
85
…
0.0k
…
…
…
…
0.0
92
19
47
…
0.1
…
…
0.0k
229
156
…
…
0.0
0.8
…
0.0k
45
0.0k
0.5
0.3
…
…
…
0.0
…
…
…
59
…
…
…
…
9.3
0.0
52
23
15
2.9
81
0.8
14
80
4.7
1.4
6.6
0.0
21
1.5
8.0
36
57
26
0.8
22
0.4
0.5
4.1
37
63
0.0
0.4
0.8
39
14
2.8
21
5.4
8.7
52
2.6
1.6
3.8
5.5
4.6
7.7
15
71
0.0
0.9
1.4
4.3
[4.5–16]
[0.0–0.0]
[21–99]
[8.6–48]
[6.5–30]
[1.1–5.6]
[28–150]
[0.4–1.4]
[5.0–25]
[30–150]
[1.8–8.9]
[0.5–2.7]
[2.3–14]
[0.0–0.0]
[7.6–43]
[0.6–3.0]
[3.1–15]
[14–75]
[25–110]
[8.5–58]
[0.3–1.8]
[9.3–45]
[0.2–0.7]
[0.2–0.9]
[1.6–8.2]
[15–72]
[22–120]
[0.0–0.0]
[0.1–0.7]
[0.3–1.4]
[17–77]
[5.4–26]
[1.0–5.4]
[7.6–44]
[2.2–11]
[3.2–17]
[22–100]
[0.9–5.4]
[0.7–2.8]
[1.8–6.4]
[2.3–9.5]
[0.0–12]
[6.9–8.5]
[7.2–26]
[25–140]
[0.0–0.2]
[0.4–1.9]
[0.4–3.2]
[1.7–8.2]
2004
30
35
536
1 396
161
160
1 011
37
293
566
52
73
178
25
152
…
118
954
513
825
210
463
31
14
129
1 272
964
174
22
26
403
190
95
468
119
231
285
27
42
61
32
64
51
71
1 157
179
69
162
204
635
419
799
796
623
953
967
433
961
812
731
501
682
321
923
…
655
777
775
513
1 093
769
425
398
705
1 030
909
595
391
664
717
735
417
772
602
534
620
583
456
512
470
963
706
904
878
691
522
674
766
Injuries
Malariad
2005
Noncommunicable
HIV/AIDSc
2000–2009
Distribution of years
of life lost by broader
causesf,h (%)
Communicable
Interagency
estimatesb
MDG 6
Country reported
estimatesa
MDG 6
Age-standardized
mortality rates by
causef,g
(per 100 000 population)
Injuries
Cause-specific mortality rate
(per 100 000 population)
Noncommunicable
MDG 5
Maternal mortality ratio
(per 100 000
live births)
Communicable
Member State
2004
128
46
81
105
53
165
112
25
61
90
43
55
33
39
86
…
49
108
96
73
129
119
24
39
71
127
109
36
42
39
91
36
52
100
74
60
59
54
40
35
67
97
54
218
147
43
67
64
40
5
7
74
87
28
35
83
6
34
73
10
25
32
7
32
…
39
81
56
82
24
60
6
5
39
86
81
33
4
16
64
29
35
65
33
41
44
4
9
17
6
10
9
8
83
27
17
31
32
69
77
19
8
55
35
11
85
56
18
78
58
58
77
51
…
48
12
33
11
60
27
85
77
44
10
13
56
79
63
26
62
45
25
44
45
43
81
78
59
72
74
79
62
10
63
60
54
58
26
16
8
5
17
30
5
9
10
9
12
18
10
16
17
…
13
7
11
6
15
13
9
18
17
4
6
11
16
21
10
9
20
11
23
15
13
15
12
25
22
16
12
29
7
11
22
16
9
WORLD HEALTH STATISTICS
2010
Morbidity
MDG 6
Incidence of tuberculosisj
(per 100 000
population per year)
2000
2000
Injuries
Other diseases
Congenital
abnormalities
Neonatal sepsis
Birth asphyxia
Prematurity
Pneumonia
Malaria
Measles
Diarrhoea
HIV/AIDS
MDG 6
Prevalence of tuberculosisj
(per 100 000 population)
2008
0
0
0
14
4
0
1
0
0
1
1
0
0
0
0
0
0
14
1
18
0
1
0
0
1
0
3
0
0
0
0
0
1
3
1
1
0
0
1
0
0
0
0
0
1
0
0
1
0
0
0
22
11
1
9
19
0
9
16
2
6
4
0
4
0
12
12
13
6
3
15
0
0
9
20
19
0
3
2
16
4
6
5
9
4
7
0
0
2
0
2
1
1
23
0
0
2
7
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
0
7
0
0
0
0
0
0
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
0
0
0
1
0
0
0
0
0
0
4
17
0
0
21
0
0
13
0
0
0
0
0
0
0
12
2
5
0
0
0
0
0
18
20
0
0
0
0
0
0
7
0
0
0
0
0
0
0
0
0
0
6
0
0
0
0
6
0
21
13
6
16
19
6
23
20
7
13
29
4
29
9
17
18
13
14
18
14
2
5
20
22
16
5
0
7
18
10
13
22
17
16
24
5
6
6
4
23
33
7
15
2
1
1
20
12
26
11
10
22
26
8
24
17
13
23
17
17
22
14
26
21
10
14
18
27
17
18
26
22
7
8
32
14
32
17
21
16
11
24
25
19
30
22
24
26
4
12
13
9
33
52
36
20
7
17
9
8
8
11
7
8
6
9
14
7
7
9
5
11
15
9
11
8
16
18
12
11
8
6
8
14
17
6
15
8
6
11
13
10
7
7
10
5
5
7
4
8
10
29
23
11
8
4
1
7
6
1
5
4
0
2
6
5
5
3
1
1
1
8
6
9
4
9
14
6
3
2
3
6
4
3
1
12
1
5
6
5
2
2
4
1
1
4
6
0
3
8
3
2
11
2
35
19
2
3
26
9
2
29
9
3
22
22
5
32
7
28
10
3
2
6
9
4
28
25
13
1
2
19
28
25
7
20
24
3
10
16
8
35
32
26
21
31
21
24
3
10
10
7
11
18
24
21
16
23
20
17
18
29
17
22
22
30
23
35
17
14
15
13
13
13
15
28
21
21
21
17
23
26
19
14
26
22
25
18
20
29
14
19
25
28
14
20
31
20
15
10
24
27
17
13
2
2
9
4
2
15
5
2
4
9
4
9
5
6
3
2
22
2
5
2
6
10
4
2
1
2
9
7
2
9
6
3
4
6
4
6
8
11
12
14
8
13
4
7
2
7
5
45
11
350
410
140
77
650
1
510
450
38
40
130
1
230
…
51
540
950
250
50
160
4
3
68
310
600
4
3
9
640
23
12
130
37
140
780
26
23
66
16
130
160
110
600
19
21
47
20
67
[13–93]
[6–17]
[210–540]
[250–630]
[77–230]
[33–140]
[450–910]
[1–4]
[330–740]
[270–680]
[23–59]
[21–65]
[54–230]
[1–1]
[110–400]
[17–110]
[350–780]
[650–1 300]
[100–500]
[29–77]
[65–290]
[1–8]
[2–8]
[28–120]
[210–440]
[420–830]
[3–6]
[1–5]
[4–16]
[400–890]
[16–65]
[8–41]
[37–320]
[9–73]
[32–280]
[600–950]
[5–52]
[7–46]
[28–120]
[11–44]
[72–200]
[58–290]
[41–210]
[410–850]
[12–28]
[12–34]
[30–70]
[6–38]
2008
34
1
430
310
120
13
750
11
59
700
40
8
34
0
140
6
48
470
470
290
10
170
4
5
26
330
610
0
3
6
310
110
14
130
40
46
550
17
15
54
50
90
110
69
720
3
8
23
36
[11–75]
[1–1]
[270–650]
[180–480]
[67–200]
[7–33]
[510–1 000]
[6–18]
[39–150]
[470–1 000]
[26–60]
[3–17]
[23–110]
[0–0]
[29–280]
[4–17]
[14–97]
[290–710]
[240–780]
[110–620]
[7–21]
[71–300]
[1–8]
[2–9]
[7–53]
[210–480]
[410–860]
[0–0]
[1–6]
[2–12]
[170–510]
[71–170]
[8–34]
[37–290]
[13–77]
[19–100]
[500–600]
[3–37]
[5–30]
[22–97]
[13–96]
[39–160]
[35–220]
[15–140]
[490–1 000]
[2–10]
[3–15]
[13–36]
[23–53]
85
12
220
420
110
74
300
5
250
280
24
32
130
0
210
…
110
380
400
670
44
160
9
10
68
150
270
0
6
14
230
52
47
250
48
180
330
35
48
63
54
140
170
120
350
10
15
26
23
[76–100]
[10–13]
[170–260]
[340–510]
[87–130]
[59–89]
[240–360]
[4–5]
[200–300]
[220–330]
[20–29]
[25–38]
[100–150]
[0–0]
[160–250]
[100–130]
[300–450]
[320–480]
[590–810]
[40–53]
[130–200]
[8–10]
[9–12]
[54–81]
[120–180]
[220–330]
[0–0]
[5–6]
[13–17]
[190–280]
[42–63]
[40–57]
[200–300]
[38–58]
[150–220]
[260–390]
[28–42]
[41–54]
[50–75]
[47–61]
[110–160]
[130–200]
[99–150]
[280–420]
[8–12]
[12–18]
[21–31]
[19–28]
2008
71
0
260
320
100
42
320
14
210
320
22
19
93
0
210
23
93
420
400
750
12
160
7
8
46
180
300
0
6
13
230
63
47
250
47
120
280
25
30
55
88
170
130
110
390
9
14
25
18
[63–85]
[0–0]
[200–310]
[260–390]
[82–120]
[39–50]
[260–390]
[12–16]
[210–250]
[260–390]
[18–27]
[17–22]
[75–110]
[0–0]
[170–250]
[21–27]
[85–110]
[340–500]
[320–480]
[630–900]
[9–14]
[130–200]
[6–8]
[7–9]
[41–56]
[140–210]
[240–360]
[0–0]
[5–7]
[13–16]
[190–280]
[50–75]
[45–57]
[210–300]
[38–57]
[110–140]
[230–340]
[20–29]
[26–34]
[44–66]
[77–99]
[140–210]
[110–160]
[91–130]
[310–460]
[7–11]
[12–17]
[20–30]
[15–22]
MDG 6
Prevalence
of HIV
among
adults
aged
15–49
yearsc (%)
2007
0.1
0.2
0.1
11.9
0.5
…
1.5
0.1
…
0.8
1.7
0.3
…
…
0.1
…
0.1
12.5
0.7
15.3
…
0.5
0.2
0.1
0.2
0.8
3.1
…
0.1
…
0.1
…
1.0
1.5
0.6
0.5
…
0.1
0.5
…
<0.1
0.4
0.1
1.1
2.8
…
…
…
…
Table 2
Mortality
Distribution of causes of death among children aged <5 yearsh,i (%)
2. Cause-specific mortality and morbidity
Mortality
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Thailand
The former Yugoslav Republic of
Macedonia
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzania
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
TB among
HIV-negative
peoplee
2007
2006
2008
0
6
15
401
6
…l
857
8
6
15
236
1 044
124
4
17
1 107
184
589
2
1
58
43
14
0
…
…
18
980
…
…
2 100
14
6
6
220
1 400
400
4
58
450
72
390
3
5
130
170
110
10
…
478
37
…
36
21
16
0
435
15
0
7
578
13
…
25
70
57
75
366
591
725
380
510
…
45
100
44
130
…
550
18
37
8
950
11
20
24
…
57
150
430
830
880
[12–24]
[590–1 400]
[880–3 700]
[14–27]
[6–12]
[6–12]
[65–580]
[550–2 700]
[270–530]
[4–9]
[39–77]
[160–1 000]
[72–140]
[130–980]
[3–7]
[5–11]
[40–370]
[53–460]
[70–140]
[10–20]
[150–700]
[290–750]
[45–89]
[27–380]
[29–58]
[37–400]
[350–770]
[18–36]
[10–130]
[8–15]
[620–1 300]
[11–21]
[20–40]
[24–49]
[57–110]
[40–510]
[150–900]
[520–1 200]
[300–2 000]
…
…
…
15
<10
…
56
<10
…
<10
…
18
721
5
…
65
…
876
<10
<10
…
<10
47
…
…
19
0.0
80
…
…
154
…
…
…
30
41
0.3
…
0.0k
85
4.9
0.1
…
…
0.0
0.0k
0.6
…
0.0
18
1.2
64
1.3
8.7
140
2.5
0.7
0.8
19
54
39
1.0
9.6
19
29
31
0.4
0.3
2.3
44
19
1.7
[0.0–0.0]
…
138
…
…
<10
…
…
…
249
41
…
<10
237
7
<50
<10
…
…
27
…
470
1 049
93
113
…
…
…
0.0k
0.0
…
145
…
…
…
98
…
…
0.0k
13
0.2
0.2
3.9
121
10
83
92
3.0
1.2
1.8
3.2
8.4
11
27
15
0.3
0.7
13
0.3
1.7
27
11
4.3
34
9.9
18
54
[36–160]
68
[7.4–34]
[0.5–2.1]
[24–120]
[0.4–2.8]
[3.2–17]
[52–260]
[1.1–4.1]
[0.3–1.3]
[0.3–1.3]
[8.2–38]
[22–100]
[17–79]
[0.4–1.7]
[4.1–19]
[8.2–38]
[10–56]
[0.0–88]
[0.2–0.6]
[0.1–0.5]
[0.8–4.9]
[20–80]
[8.2–38]
[0.6–3.3]
[32–180]
[1.3–6.2]
[0.6–2.1]
[0.7–3.4]
[1.2–6.8]
[4.1–15]
[3.9–25]
[10–55]
[7.1–26]
[0.2–0.6]
[0.3–1.3]
[6.1–22]
[0.1–0.5]
[0.7–3.3]
[13–50]
[4.9–23]
[1.8–8.6]
[14–71]
[4.3–20]
[5.9–41]
[21–100]
2004
Injuries
Malariad
2005
Noncommunicable
HIV/AIDSc
2000–2009
Distribution of years
of life lost by broader
causesf,h (%)
Communicable
Interagency
estimatesb
MDG 6
Country reported
estimatesa
MDG 6
Age-standardized
mortality rates by
causef,g
(per 100 000 population)
Injuries
Cause-specific mortality rate
(per 100 000 population)
Noncommunicable
MDG 5
Maternal mortality ratio
(per 100 000
live births)
Communicable
Member State
2004
17
502
98
607
…
109
1 389
79
35
31
237
910
965
24
113
470
174
1 497
22
19
66
310
225
29
357
788
678
852
…
650
1 033
345
628
480
694
1 148
867
379
681
986
728
707
372
360
679
884
516
737
18
103
76
96
…
62
171
27
48
57
36
247
159
30
458
235
87
122
32
34
46
34
92
79
5
71
24
74
…
17
83
12
5
4
50
72
69
7
8
57
31
83
5
5
25
72
42
6
87
18
49
18
…
63
11
73
82
80
41
16
19
81
30
21
52
10
83
81
59
23
40
74
9
11
27
8
…
19
6
14
13
16
9
12
12
12
62
23
17
7
12
13
15
5
19
21
421
748
174
130
195
82
253
275
1 069
61
79
37
1 031
36
53
164
216
69
170
314
1 602
2 598
663
818
658
751
537
701
1 100
979
786
881
410
441
851
450
521
880
749
441
611
941
833
816
83
86
28
60
53
39
71
71
169
130
37
26
130
50
52
49
37
92
64
110
125
147
70
78
31
26
41
26
48
30
80
9
18
7
79
9
12
48
39
21
39
60
85
85
21
16
61
61
44
63
42
59
10
72
53
84
13
73
74
42
52
44
46
27
9
8
9
7
8
14
15
11
11
11
10
19
28
9
8
18
15
10
9
35
15
12
6
6
WORLD HEALTH STATISTICS
2010
Morbidity
MDG 6
Incidence of tuberculosisj
(per 100 000
population per year)
2000
2000
Injuries
Other diseases
Congenital
abnormalities
Neonatal sepsis
Birth asphyxia
Prematurity
Pneumonia
Malaria
Measles
Diarrhoea
HIV/AIDS
MDG 6
Prevalence of tuberculosisj
(per 100 000 population)
2008
2008
0
0
0
1
0
0
1
0
0
0
0
0
46
0
0
2
2
49
0
0
0
0
2
0
0
15
5
15
0
0
21
0
0
0
4
22
9
0
3
11
6
8
1
0
5
19
2
3
0
1
0
3
0
0
5
0
0
0
1
5
0
0
1
0
0
0
0
0
0
0
0
0
0
1
0
19
0
0
13
0
0
0
6
6
0
0
0
25
1
0
0
0
0
0
1
0
0
26
10
18
6
10
20
13
11
2
26
19
9
2
10
16
10
12
2
1
11
21
10
5
0
12
31
10
39
37
8
25
28
24
18
8
12
17
22
18
22
8
12
23
26
15
30
44
0
8
6
8
12
6
6
1
4
8
6
8
7
7
8
7
10
5
10
10
5
9
11
10
0
5
1
5
1
0
4
3
1
12
2
5
2
4
1
2
6
3
3
3
1
5
2
2
0
4
19
3
22
14
1
35
29
20
6
3
3
30
19
4
12
3
33
28
22
4
21
25
100
26
19
17
15
29
19
19
19
30
29
21
10
34
19
13
23
12
34
30
23
24
17
6
0
3
8
2
3
4
3
5
8
4
3
2
2
6
16
3
8
1
3
5
7
3
5
3
9
150
36
460
…
41
820
32
12
11
360
610
470
15
85
150
160
530
3
3
18
210
210
40
[7–13]
0
150
[20–59]
12
[300–680]
560
7
[19–71]
75
[550–1 200] 1 200
[11–57]
27
[3–23]
6
[3–22]
7
[230–530]
150
[400–880]
460
[260–740]
610
[5–26]
8
[44–140]
73
[78–240]
160
[110–230]
270
[290–870]
770
[1–6]
3
[1–7]
1
[5–38]
15
[130–320]
330
[130–320]
160
[15–72]
7
[0–0]
[80–240]
[90–230]
0
6
0
6
0
0
0
0
5
1
0
0
9
0
0
0
0
0
3
0
12
21
13
12
6
1
5
1
13
1
16
1
1
0
12
0
2
12
7
7
2
20
15
9
5
0
0
0
0
0
0
0
2
0
0
0
0
0
0
0
1
0
2
1
1
8
11
26
0
0
0
0
0
0
22
0
0
0
16
0
0
0
2
0
0
0
15
3
10
15
15
6
10
14
23
16
14
4
5
3
14
3
7
21
23
10
10
18
15
13
12
11
20
22
30
30
18
17
7
11
31
36
10
30
20
22
20
23
27
17
7
12
16
9
8
7
6
11
10
8
7
7
6
7
10
5
4
10
7
9
10
12
7
8
12
5
2
7
1
2
6
2
5
2
1
1
8
3
6
5
1
8
2
5
6
4
3
3
17
21
20
18
6
14
2
28
29
26
3
23
28
8
8
19
19
5
2
3
14
12
25
22
21
18
22
34
16
32
20
23
16
26
22
20
26
14
20
19
17
16
2
2
7
9
6
5
3
7
4
13
7
4
3
11
11
3
4
9
5
3
3
2
610
810
29
12
12
58
31
190
380
57
5
8
180
4
18
200
79
29
290
140
350
470
[310–1 000]
[350–1 100]
69
[560–1 100]
[15–46]
[5–20]
[4–26]
[30–96]
[15–69]
[62–350]
[240–560]
[12–120]
[3–8]
[2–14]
[100–270]
[1–7]
[4–36]
[120–310]
[22–150]
[9–55]
[140–500]
[74–240]
[140–620]
[260–760]
660
930
22
18
10
22
18
44
340
76
7
5
130
3
12
190
88
34
280
78
260
790
[3–24]
[370–800]
[5–21]
[51–110]
[800–1 700]
[11–48]
[2–12]
[2–13]
[74–250]
[280–700]
[290–1 000]
[3–17]
[34–130]
[93–260]
[190–380]
[400–1 300]
[1–6]
[1–4]
[3–33]
[200–500]
[88–270]
[4–20]
[640–1 300]
[8–41]
[9–29]
[4–21]
[4–45]
[12–69]
[30–170]
[210–520]
[19–150]
[4–10]
[2–11]
[85–180]
[1–5]
[4–22]
[110–300]
[43–150]
[15–59]
[140–480]
[41–130]
[94–480]
[500–1 200]
4
110
27
240
…
37
380
49
22
21
180
290
580
23
66
120
79
800
5
9
35
120
140
41
[4–5]
500
370
28
18
24
46
92
210
340
84
4
12
240
7
24
130
98
34
200
120
600
680
[400–600]
[91–140]
[22–33]
[190–280]
[29–44]
[300–450]
[43–56]
[19–24]
[19–24]
[150–220]
[230–340]
[460–690]
[20–26]
[53–79]
[95–140]
[63–95]
[640–960]
[5–6]
[8–10]
[31–42]
[93–140]
[110–160]
[33–50]
[300–450]
[24–33]
[15–20]
[22–29]
[37–55]
[90–110]
[170–250]
[270–410]
[67–100]
[4–5]
[11–14]
[210–270]
[6–7]
[20–29]
[100–150]
[80–120]
[27–41]
[170–280]
[92–140]
[480–720]
[550–820]
2008
0
99
19
280
18
32
610
39
12
12
120
290
960
17
66
120
130
1 200
6
5
22
200
140
24
500
440
24
24
24
30
68
160
310
100
4
12
190
5
22
130
74
33
200
60
470
760
[0–0]
[79–120]
[16–22]
[220–330]
[15–22]
[25–38]
[490–730]
[34–44]
[10–13]
[10–13]
[97–150]
[230–340]
[770–1 200]
[15–20]
[53–79]
[95–140]
[100–150]
[980–1 500]
[5–7]
[4–6]
[18–27]
[160–240]
[110–160]
[22–29]
[400–600]
[350–530]
[19–28]
[21–27]
[22–29]
[24–36]
[54–81]
[130–190]
[250–370]
[82–120]
[3–5]
[11–14]
[180–200]
[4–5]
[20–26]
[100–150]
[60–89]
[27–40]
[170–270]
[48–72]
[370–560]
[610–910]
MDG 6
Prevalence
of HIV
among
adults
aged
15–49
yearsc (%)
2007
…
…
…
1.0
0.1
…
1.7
0.2
<0.1
<0.1
…
0.5
18.1
0.5
…
1.4
2.4
26.1
0.1
0.6
…
0.3
1.4
<0.1
…
3.3
…
1.5
0.1
…
<0.1
…
5.4
1.6
…
0.2
6.2
0.6
0.6
0.1
…
…
0.5
…
15.2
15.3
Table 2
Mortality
Distribution of causes of death among children aged <5 yearsh,i (%)
2. Cause-specific mortality and morbidity
Mortality
TB among
HIV-negative
peoplee
2007
2006
2008
2004
Injuries
Malariad
2005
Noncommunicable
HIV/AIDSc
2000–2009
Distribution of years
of life lost by broader
causesf,h (%)
Communicable
Interagency
estimatesb
MDG 6
Country reported
estimatesa
MDG 6
Age-standardized
mortality rates by
causef,g
(per 100 000 population)
Injuries
Cause-specific mortality rate
(per 100 000 population)
Noncommunicable
MDG 5
Maternal mortality ratio
(per 100 000
live births)
Communicable
Member State
2004
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
0
44
1 600
1
130
2 100
3
21
1 049
0.0
2.3
229
0.0
6.6
140
…
…
…
…
…
…
900
99
450
27
420
82
[450–1 500]
174
12
13
11
5
5
104
0.5
2.1
…
7.5
0.3
51
3.4
28
6.5
19
15
[40–69]
Low income
Lower middle income
Upper middle income
High income
…
…
…
…
650
180
91
9
[350–1 000]
56
9.7
0.6
…
48
22
8.4
1.0
[39–61]
[8–17]
87
11
65
4
GLOBAL
…
400 [220–650]
30
17
21 [17–27]
14
162
2 598
284
691
1 309
18
68
486
3
31
87
8
52
87
3
12
62
978
91
363
62
308
99
841
499
701
590
790
557
126
66
131
79
109
68
80
25
52
12
56
24
13
55
31
70
30
57
7
20
17
18
15
19
515
125
97
32
794
675
692
408
108
104
102
43
68
29
27
8
21
49
53
77
10
22
20
15
275
612
93
51
34
14
WHO REGION
African Region
Region of the Americas
South-East Asia Region
European Region
Eastern Mediterranean Region
Western Pacific Region
[62–170]
[290–630]
[17–64]
[170–850]
[40–170]
[2.6–4.6]
[18–47]
[5.1–8.8]
[12–32]
[9.4–26]
INCOME GROUP
[94–300]
[65–150]
70
[16–32]
[6.4–11]
[0.8–1.2]
WORLD HEALTH STATISTICS
2010
Morbidity
MDG 6
Incidence of tuberculosisj
(per 100 000
population per year)
2000
2000
Injuries
Other diseases
Congenital
abnormalities
Neonatal sepsis
Birth asphyxia
Prematurity
Pneumonia
Malaria
Measles
Diarrhoea
HIV/AIDS
MDG 6
Prevalence of tuberculosisj
(per 100 000 population)
2008
0
0
49
0
5
29
0
0
9
0
0
29
0
13
33
0
18
52
0
8
29
0
4
16
0
14
48
6
21
100
0
4
22
0
58
1 000
4
1
0
0
0
0
18
7
13
5
18
4
1
0
4
0
1
0
16
0
1
0
3
0
17
12
19
14
19
18
9
22
14
20
15
16
8
8
11
9
10
14
5
5
7
3
7
2
2
16
3
17
6
10
17
23
23
25
18
26
2
6
4
6
3
9
470
42
290
53
260
220
[420–530]
3
1
10
0
18
14
6
1
1
2
0
0
12
7
0
0
18
19
12
4
10
13
20
27
8
10
9
6
6
6
4
2
3
4
14
25
18
21
20
25
3
3
5
9
480
250
91
11
[440–540]
[210–310]
2
15
1
8
18
12
9
6
4
20
3
220 [190–260]
71
2008
0
44
1 200
[33–56]
[220–390]
[40–78]
[200–350]
[160–290]
[72–120]
[8–15]
0
73
800
480
25
220
39
150
110
[430–560]
410
180
73
8
[370–470]
[130–240]
0
63
1 200
320
40
180
57
120
120
[300–330]
[270–290]
[130–160]
[6–13]
280
150
100
17
170 [150–210]
140
[20–37]
[160–330]
[28–61]
[110–220]
[74–200]
[53–110]
2008
[330–370]
[270–300]
[130–160]
[17–18]
280
150
110
14
[130–140]
140 [130–150]
[160–210]
[52–62]
[100–130]
[100–130]
[93–110]
2007
<0.1
0.5
26.1
350
31
180
48
110
110
[38–44]
MDG 6
Prevalence
of HIV
among
adults
aged
15–49
yearsc (%)
[29–33]
[160–210]
[45–51]
[99–130]
[95–130]
[97–120]
[13–15]
4.9
0.5
0.3
0.5
0.2
0.1
2.8
0.4
1.7
0.4
0.8
Table 2
Mortality
Distribution of causes of death among children aged <5 yearsh,i (%)
Table 3
WORLD HEALTH STATISTICS
2010
Selected infectious diseases
This section has been compiled from official national reports of case numbers for selected infectious diseases.
Decisions on which diseases to include were made primarily on the basis of data availability. Where possible, a
distinction is made between zero cases reported and no information available for a country. In isolation, the numbers
given provide no indication of the relative risk of disease, nor of the quality of disease reporting in different countries.
However, the section does give an indication of the current status of officially reported infectious disease data at
the global level, and of the major reporting gaps. Given the variations in the methods countries use to obtain these
numbers, no attempt has been made to calculate incidence or prevalence.
To interpret these numbers, both epidemiological patterns and data-collection efforts in specific countries must
be considered. Some diseases (for example, malaria and yellow fever) are endemic to certain geographical regions, but
are extremely rare elsewhere. Diseases such as plague are prone to outbreaks that can cause case numbers to fluctuate
wildly over time. Some diseases are best tackled with preventive measures such as mass drug treatment, so reporting
the number of cases is a lower priority than estimating the population at risk. For vaccine-preventable diseases, case
numbers are affected by immunization rates. Diseases such as H5N1 influenza, Japanese encephalitis and malaria are
difficult to identify without specialized laboratory tests that are often not available in developing countries. In many
settings, cases of some diseases (such as malaria) are identified through clinical signs and symptoms alone.
Despite ongoing efforts to enhance disease surveillance and response, many countries face challenges in accurately
identifying, diagnosing and reporting infectious diseases due to the remoteness of communities, lack of transport and
communication infrastructures, and shortage of skilled health-care workers and laboratory facilities to ensure accurate
diagnosis. No inference can be drawn from the figures shown about the efforts or progress that countries are making
in controlling particular diseases.
Case numbers are also a poor indication of the burden of disease. Diseases such as H5N1 influenza and plague
have high mortality rates, while diseases such as polio and leprosy have low mortality rates but result in a heavy loss of
healthy years of life. Some diseases with very small initial case numbers can potentially cause devastating epidemics,
and so mandatory reporting is essential. For diseases that are considered eradicable (such as leprosy and poliomyelitis)
case reporting is essential to ensure that eradication efforts are targeted to the affected areas.
Some diseases are reported under the International Health Regulations, while others are monitored by countries
or by WHO in the context of specific control programmes. Further information on disease incidence and prevalence,
as well as on immunization coverage rates for vaccine-preventable diseases, can be obtained from the relevant WHO
programme.
73
3. Selected infectious diseases
Number of reported cases
Member State
a
b
Cholera
Diphtheria
2008
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Cook Islands
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
Djibouti
4 384
…
…
…
10 511
…
…
…
…
…
…
…
…
…
…
…
…
…
985
…
…
…
8
…
…
…
…
234
…
…
1
…
…
…
…
174
…
4
156
…
…
7
…
…
…
…
…
30 150
1
…
H5N1
influenzac
Japanese
encephalitisb
Leprosyd
2009
0
0
0
0
69
0
0
0
0
0
3
0
0
43
0
3
0
0
…
0
0
0
0
85
0
0
0
0
7
…
4
0
…
…
0
0
0
…
0
0
0
…
0
0
0
0
0
…
0
0
Malariae
Measlesb
2008
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
1
…
…
…
…
…
…
7
…
…
…
…
…
…
…
…
…
…
…
…
…
…
74
…
…
0
…
…
…
…
…
1
0
0
…
0
702
…
…
0
…
0
…
…
0
…
…
0
0
…
0
372
…
…
0
…
…
…
2 975
…
0
0
…
…
…
0
…
…
1
124
…
…
0
24
…
0
…
1 184
…
388
…
11
…
…
…
0
5 249
…
…
…
…
298
18
129
…
0
38 914
2
…
452
275
306
406
…
…
141
549
…
1 614
445
336
217
0
3
998
…
233
…
…
…
6 114
…
0
Meningitisf
2009
462 689
…
11 964
…
3 432 424
…
130
471
…
…
73
14
…
1 275 192
…
…
…
…
…
121
150 826
…
17 886
315 642
…
…
3 790 238
2 039 353
58 887
1 650 749
…
35
152 260
478 987
…
135 467
80 559
…
…
…
966
1 343 654
…
…
…
…
…
5 371 196
…
3 528
1 599
…
217
0
265
0
0
0
65
448
5
0
2
2 660
0
0
98
0
928
7
0
8
0
0
3
1
395
173
4 211
495
61
0
12
63
0
131 441
0
0
2
0
0
12
51
0
1
2
82
12 461
14
143
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
377
…
…
…
…
…
…
…
4 447
…
…
…
…
…
289 j
1 460
…
…
…
…
…
…
…
284
…
…
…
…
…
4 842k
…
…
WORLD HEALTH STATISTICS
2010
Number of reported cases
b
Mumps
Pertussis
g
Plague
2008
…
50
0
0
…
0
12 198
98
286
…
82
0
77
…
0
245
46
0
0
…
10 566
54
…
…
41
5 582
…
0
…
…
748
13
…
…
1 243
310 826
5 930
…
0
0
0
…
110
11
3
403
67
…
24
…
Poliomyelitish
Rubellab
Congenital
rubella
syndromeb
Neonatal
tetanusb
2009
2 448
10
28
0
1 148
0
3 085
3
14 435
183
5
0
0
33
0
125
260
2
0
0
0
41
0
3 562
2
193
171
0
1 212
…
1 961
0
…
…
969
2 387
408
…
0
0
2 024
…
102
0
3
767
395
3 190
105
0
…
…
0
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
0
…
0
0
…
…
…
…
…
…
…
…
…
…
…
12
…
…
…
…
…
…
…
…
…
…
…
618
…
…
Total
tetanusb
Tuberculosisi
Yellow feverb
13 136
170
8 643
3
22 562
1
4 758
487
299
…
1 409
31
141
106 373
1
1 060
311
83
2 966
351
6 048
509
3 351
37 697
132
1 020
2 756
3 610
19 860
14 232
488
197
4 232
3 309
1 114
462 596
7 196
77
3 371
2
287
15 294
328
498
6
251
28 026
69 477
106
1 375
…
0
0
0
…
0
8
…
0
0
0
0
0
…
0
0
0
0
0
…
1
0
…
46
0
0
4
0
…
2
1
0
5
0
0
…
3
0
0
…
0
14
0
0
0
0
0
113
…
0
2008
37
…
…
…
29
…
…
…
…
…
…
…
…
…
…
…
…
…
21
…
…
…
…
…
…
…
15
2
…
3
…
…
14
64
…
…
…
…
…
…
…
27
…
…
…
…
…
5
…
…
…
0
0
0
…
0
0
0
1
…
0
0
0
…
0
0
0
0
…
0
0
0
…
30
0
0
…
0
…
…
0
…
…
…
3
…
0
…
0
0
0
…
0
0
0
0
0
…
0
…
415
0
1 339
0
28
0
1 075
4
38
7
0
0
2
5 526
0
2
…
0
97
2
0
19
2
2 029
0
58
97
173
4 211
78
5
9 648
28
…
15
120 354
2
…
21
0
0
113
1
0
0
14
82
969
2
118
75
12
0
3
0
89
0
0
…
0
…
0
0
0
152
0
0
0
0
7
0
0
0
0
6
0
0
8
…
34
43
0
0
25
163
0
1 786
3
3
3
0
0
15
0
0
0
0
0
737
0
0
57
0
9
0
601
0
8
…
4
0
6
0
0
943
2
0
2
1
7
7
13
0
0
333
0
2
11
…
324
65
1
2
25
163
8
1 786
45
3
3
0
1
15
1
3
0
0
0
1 252
1
0
Table 3
b
3. Selected infectious diseases
Number of reported cases
Member State
a
b
Cholera
Diphtheria
2008
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
Lithuania
Luxembourg
…
…
…
…
…
…
1
…
3 862
…
1
2
2
1
…
…
1 223
…
…
…
513
14 323
…
…
…
…
…
2 680
1 007
72
925
…
…
…
…
…
…
1
3 091
…
…
…
201
…
…
…
1 236
…
…
…
H5N1
influenzac
Japanese
encephalitisb
Leprosyd
2009
0
3
0
0
0
…
…
0
…
0
0
5
…
0
7
0
…
0
0
0
0
0
0
10
0
0
0
6 081
219
52
6
0
0
…
0
0
0
5
…
0
…
0
2
28
0
0
…
0
4
0
Malariae
Measlesb
2008
…
…
…
39
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
20
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
76
…
…
…
…
…
…
…
0
…
0
0
0
…
0
0
…
…
…
…
…
0
0
…
…
…
0
0
294
…
…
0
0
…
…
…
3
0
0
…
0
…
0
…
0
0
0
…
0
0
0
…
154
83
797
5
27
…
…
4 170
4
…
…
24
…
…
…
557
…
…
3
664
78
28
52
1
…
…
134 184
17 441
35
0
…
…
…
4
3
0
…
167
42
0
…
93
…
1
7
777
5
…
…
Meningitisf
2009
…
1 262
4 891
80
33
63 147
10 572
…
2 532 645
…
…
…
187 714
508 846
8
…
3 200 147
…
…
43 244
422 180
148 542
11 815
36 774
8 225
…
…
95 734 579
2 106 957
11 371
5
…
…
…
22
…
…
…
839 904
…
…
18
18 566
…
…
…
726 905
…
…
…
0
0
0
668
0
436
0
0
3 511
0
5
604
3
0
56
917
82
1
0
0
89
12
0
0
0
0
0
48 181
15 369
127
5 494
57
931
1 617
2
11 015
2
20
1 282
0
…
16
174
3
24
0
1
8
1
1
…
…
…
…
…
…
…
…
114l
…
…
…
…
…
…
…
288k
…
…
…
161m
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
WORLD HEALTH STATISTICS
2010
Number of reported cases
b
Mumps
Pertussis
g
Plague
2008
0
0
0
50
313
…
2 071
14
…
0
5
…
…
0
76
…
…
5
0
627
0
0
0
38
219
14
0
…
…
…
1 876
1 388
11
896
0
65 361
193
240
…
0
…
436
…
6
229
…
…
464
82
26
Poliomyelitish
Rubellab
Congenital
rubella
syndromeb
Neonatal
tetanusb
2009
0
11
125
0
5
…
30
485
…
0
511
…
…
0
129
…
…
22
0
60
0
0
0
696
224
33
2
44 180
…
605
2 311
102
2 169
174
0
6 753
0
45
…
0
…
45
26
14
50
0
…
22
51
2
…
…
0
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
0
0
…
…
…
…
…
…
…
…
0
0
…
…
…
0
…
…
…
…
5
…
…
Total
tetanusb
Tuberculosisi
Yellow feverb
3
2 458
3 380
5 102
985
541
839
144
40 794
78
104
1 222
1 502
1 300
1 868
954
7 904
80
5
2 070
6 561
1 223
320
8 171
1 897
346
2
615 977
166 376
4 722
3 150
123
173
938
78
8 995
104
6 193
36 811
147
345
1 712
3 079
400
158
3 862
3 038
871
884
0
0
0
0
…
0
10
…
0
0
0
0
0
0
0
0
0
0
0
0
0
5
0
0
…
0
0
0
…
0
…
0
0
0
…
0
0
0
0
0
0
…
0
…
0
0
0
1
0
0
0
2008
…
…
…
…
…
…
…
…
1
…
…
…
…
…
…
…
…
…
…
…
42
…
…
…
…
…
…
723
…
…
…
…
…
…
…
…
…
…
18
…
…
…
…
…
…
…
11
…
…
…
0
0
0
…
0
…
…
0
…
0
0
…
…
0
0
1
…
0
0
0
…
0
0
0
0
0
0
…
…
0
…
0
0
…
0
0
0
1
…
0
…
0
…
0
0
…
…
0
0
0
0
0
0
1 097
0
2
…
4
191
0
0
…
55
0
188
…
459
0
0
0
88
0
0
0
0
0
1
…
340
14
110
42
5
4 847
0
303
1
3 350
1 280
0
…
4
45
9
18
0
40
1
0
0
77
0
2
2
36
0
4
1
0
66
0
…
…
6
0
0
…
8
0
0
1
28
0
0
16
1
0
0
811
183
4
9
0
0
…
0
…
0
0
30
0
…
0
5
0
0
0
8
0
0
0
0
66
13
189
1
4
8
0
66
0
…
8
6
0
4
…
8
7
2
2
28
11
0
16
12
4
0
3 714
183
10
18
2
0
…
1
123
0
2
30
0
…
0
12
0
2
0
8
0
0
0
Table 3
b
3. Selected infectious diseases
Number of reported cases
Member State
a
b
Cholera
Diphtheria
2008
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Republic of Korea
Republic of Moldova
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
…
831
…
…
153
…
…
…
…
1
…
…
…
…
…
9 087
45
3 496
…
…
5
…
…
972
5 410
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
23
…
…
…
…
…
119
…
H5N1
influenzac
Japanese
encephalitisb
Leprosyd
2009
…
0
4
0
0
0
…
0
0
0
…
…
0
0
0
0
3
0
0
149
0
…
0
0
…
0
0
0
32
0
0
…
0
0
65
…
0
…
0
0
0
50
…
0
0
0
…
…
0
0
Malariae
Measlesb
2008
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
78
…
…
17
…
…
0
…
…
0
…
…
…
0
0
…
0
5
0
0
329
…
…
…
…
…
0
0
0
…
0
…
2
…
…
34
…
…
…
6
0
0
0
…
…
…
…
…
…
0
0
1 763
…
218
6
…
…
46
…
…
143
124
…
0
…
53
1 313
3 365
…
2
4 708
…
…
1
486
4 899
0
…
2
447
5
0
422
487
13
2 373
…
…
38
7
…
…
…
34
…
5
…
6
…
0
23
Meningitisf
2009
352 520
4 986 779
588 489
…
…
…
…
201 044
…
2 357
…
…
…
…
142
4 831 491
948 937
119 711
…
255 543
…
…
764
2 033 971
2 834 174
…
…
965
4 554 247
…
744
1 606 843
1 341
…
23 655
…
…
…
1 052
…
…
…
771 753
…
…
…
…
…
1 647
1 491
3
20
334
0
98
1
…
4
12
0
…
…
31
0
1 455
4
333
0
0
2 089
109
…
0
1 317
9 960
0
4
18
1 129
0
0
0
0
0
341
…
1
…
1
0
12
27
6
0
0
0
…
…
0
158
…
…
…
…
309
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
13 405
56 047
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
WORLD HEALTH STATISTICS
2010
Number of reported cases
b
Mumps
Pertussis
g
Plague
2008
…
…
…
114
0
7
…
…
3
7 475
…
…
560
15
…
0
…
0
0
…
…
…
108
…
…
0
16
995
…
0
0
…
70
0
…
…
140
…
4 474
29 783
2 302
1 535
…
0
73
0
…
…
0
31
Poliomyelitish
Rubellab
Congenital
rubella
syndromeb
Neonatal
tetanusb
2009
…
0
11
0
41
1
…
0
0
162
…
…
0
5
74
0
5
15
0
2 297
8 661
…
25
1 199
13 240
0
3 893
58
169
0
108
…
7
59
46
…
69
…
7
30
51
3 557
…
0
0
0
53
…
0
30
289
0
…
…
…
…
…
…
…
…
…
…
0
…
…
0
0
0
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
25
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Total
tetanusb
Tuberculosisi
Yellow feverb
15 391
7 627
10 441
53
4 734
15
28
1 605
85
11 903
38
…
1 838
65
11 825
18 824
41 248
4 828
2
14 640
189
101
1 394
5 853
46 026
…
53
171
100 102
…
829
2 323
1 345
17 989
85 025
2 650
1 053
201
11 048
1 533
9 511
33 949
4 173
5
18
11
6
…
52
2 108
…
…
0
0
0
0
…
0
0
0
…
…
0
0
…
0
…
3
0
…
0
…
0
0
0
0
0
0
…
0
0
…
28
15
0
…
…
…
0
0
0
0
…
0
0
0
…
…
0
0
2008
…
…
…
…
2
…
…
9
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
15
537
…
…
…
87
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
0
…
…
0
1
…
…
0
…
…
0
…
0
0
…
0
…
…
…
…
0
0
1
…
0
0
…
0
0
…
…
0
…
…
0
0
5
…
0
0
0
…
…
0
0
73
105
…
…
33
3
…
10
3
46
…
…
167
0
…
166
5
0
0
781
2
…
0
55
422
0
1
4
…
0
0
4
0
0
280
…
4
…
31
1
1 746
9 618
35
0
0
0
…
48
0
15
79
8
5
13
0
6
0
…
2
0
1
…
…
0
0
8
11
25
11
0
53
…
…
0
16
721
0
0
0
809
0
0
…
1
2
132
…
0
…
…
0
0
0
1
0
0
0
…
…
0
13
227
5
29
0
11
0
…
2
0
45
…
…
1
0
27
11
147
1
0
308
…
…
2
136
721
0
2
2
984
0
5
…
14
42
813
…
1
…
14
0
11
11
1
0
0
0
…
…
0
17
Table 3
b
3. Selected infectious diseases
Number of reported cases
Member State
a
b
Cholera
Diphtheria
2008
H5N1
influenzac
Japanese
encephalitisb
Leprosyd
2009
Malariae
Measlesb
2008
Meningitisf
2009
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Thailand
The former Yugoslav Republic of
Macedonia
1 283
…
…
62
…
…
…
…
1 281
3 907
5
…
17 241
…
1
…
…
…
…
436
…
…
0
0
…
0
0
0
0
…
…
0
0
38
0
0
0
0
0
2
7
0
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
0
0
…
1
0
0
0
…
…
…
118
…
…
0
0
0
0
…
70
…
257
…
…
…
10
…
…
17
125
…
…
1 979
1 901
40
…
…
…
5
…
401
…
701 460
…
…
932 819
…
…
…
102 140
24 016
7 796
…
670
3 073 996n
28 137
5 881
…
…
51
158 068
26 150
…
4
2
0
44
18
0
0
0
1 081
39
297
33
129
0
1
25
2 022
19
0
7 016
27
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzania
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
…
397
…
…
…
…
…
…
3 726
…
…
8
2 911
5
…
…
…
…
853
…
2 061
60 055
0
…
0
0
0
0
11
0
…
61
0
5
0
0
0
0
0
0
17
5
3
0
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
5
…
…
…
0
…
0
…
…
…
…
0
…
0
0
0
…
…
…
0
…
…
17
…
0
…
154
…
0
14
1
…
…
0
345
…
10
…
3 276
150
10
…
0
586
530
471
…
…
143 594
898 112
…
…
…
…
0
…
11 029 571
…
…
…
9 611
…
…
27
17 398
32 037
51 668
158 648
3 080 301
1 003 846
0
187
0
0
2
4
0
0
1 319
48
55
1 445
3 413
140
0
2
0
0
352
7
140
0
…
289
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
80
WORLD HEALTH STATISTICS
2010
Number of reported cases
b
Mumps
Pertussis
g
Plague
2008
Poliomyelitish
Rubellab
Congenital
rubella
syndromeb
Neonatal
tetanusb
2009
Total
tetanusb
Tuberculosisi
Yellow feverb
2008
…
277
0
…
801
5
32
0
…
…
3 816
778
…
0
1 058
52
…
561
1 171
13 445
5 865
45
6
0
…
33
105
181
0
697
…
563
9
34
0
0
459
…
59
7
18
0
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
12
…
…
…
…
…
…
…
…
45
…
…
…
…
…
…
…
…
…
0
0
…
2
0
0
0
…
…
1
0
…
0
0
0
0
0
0
…
…
161
23
0
44
181
0
0
0
…
…
70
79
150
0
26
0
12
5
124
540
14
16
0
0
12
0
0
0
0
86
1
0
1
172
0
0
0
0
4
0
5
0
252
5
0
67
0
0
1
0
86
1
15
29
173
1
0
0
1
8
2
137
0
7 584
1 172
4
5 826
525
126
81
140
6 520
138 803
2 333
4 683
10 800
68
3 105
97
64
1 116
2 057
28 788
188
0
0
0
111
0
0
0
0
…
…
0
…
…
0
0
0
0
0
…
…
0
0
…
0
0
…
9 514
241
0
…
1 985
477
2 625
71
451
641
1 862
0
1 007
…
5 191
13 728
…
0
156
0
0
12
25
0
0
…
1 025
51
1 028
0
13 213
128
31
0
0
280
1 229
162
0
…
…
…
…
…
…
…
…
…
…
…
…
2
7
…
…
…
…
0
…
0
0
…
6
…
…
…
…
…
…
8
…
…
…
…
…
…
…
…
…
…
…
…
…
0
…
0
0
…
…
0
0
…
0
…
0
…
0
0
0
…
0
…
…
0
…
0
136
0
0
156
159
0
0
…
3 495
70
31
0
16
0
24
…
0
873
187
257
63
1
5
0
0
0
7
…
0
100
0
0
0
6
0
0
0
0
0
34
46
13
1
9
5
1
0
5
19
0
0
1 646
17
3
5
…
0
2
0
0
0
221
46
16
1
867
2 234
11
169
1 005
6 993
1 331
9
22 766
14 574
50
1 286
24 171
4 742
424
5 117
45
3 344
53 484
3 540
13 211
9 830
0
2
0
0
…
…
…
0
0
0
0
0
…
0
0
0
…
0
…
0
0
…
81
Table 3
b
3. Selected infectious diseases
Number of reported cases
Member State
a
b
Cholera
Diphtheria
2008
H5N1
influenzac
Japanese
encephalitisb
Leprosyd
2009
Malariae
Measlesb
2008
Meningitisf
2009
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
1
417
60 055
0
0
6 081
1
7
39
0
0
2 975
0
53
134 184
0
61 017
95 734 579
0
4
131 441
114
309
56 047
160 801
…
4 168
…
…
1 228
…
102
6 502
184
133
95
…
…
…
…
…
13
…
…
1 642
1
…
3 428
29 814
41 891
167 505
…
3 938
5 835
60 731 835
719 783
100 491 743
…
8 291 229
2 604 165
37 010
203
75 770
8 883
12 120
147 986
82 312
…
…
…
…
…
Low income
Lower middle income
Upper middle income
High income
143 948
38 739
…
28
241
6 651
182
14
…
…
…
…
…
3 493
…
…
36 975
170 514
41 197
297
54 504 086
117 031 249
1 395 416
…
38 174
222 431
744
20 623
…
…
…
…
GLOBAL
190 130
7 088
…
5 071
248 983
172 997 420
281 972
…
WHO REGION
African Region
Region of the Americas
South-East Asia Region
European Region
Eastern Mediterranean Region
Western Pacific Region
INCOME GROUP
82
WORLD HEALTH STATISTICS
2010
Number of reported cases
b
Mumps
Pertussis
g
Plague
Poliomyelitish
2008
Rubellab
Congenital
rubella
syndromeb
Neonatal
tetanusb
2009
Total
tetanusb
Tuberculosisi
Yellow feverb
2008
0
51
310 826
0
27
44 180
0
0
618
1
15
723
0
0
30
0
5
120 354
0
0
1 786
0
3
3 714
0
1 338
615 977
0
0
113
…
41 718
…
71 139
…
382 349
19 425
26 834
46 937
25 278
7 849
25 245
…
32
0
…
…
12
841
…
723
…
169
…
…
34
…
8
…
…
16 297
3 188
…
23 932
2 363
126 487
2 182
35
1 231
7
1 199
2 004
5 428
639
5 477
129
1 627
3 328
595 184
119 810
1 007 382
105 240
166 542
660 252
270
102
…
0
…
…
…
…
54 991
83 380
14 395
65 995
14 755
56 423
…
12
…
…
282
1 451
…
…
…
…
40
6
16 837
137 441
19 583
5 761
1 749
4 837
55
17
6 162
9 586
660
220
635 689
1 656 197
322 047
40 477
…
…
75
11
536 698
151 568
958
1 733
…
179 622
6 658
16 628
2 654 410
…
83
Table 3
b
Table 4
WORLD HEALTH STATISTICS
2010
Health service coverage
Health service coverage indicators reflect the extent to which people in need actually receive important health
interventions. Such interventions include the provision of skilled care to women during pregnancy and childbirth;
reproductive-health services; immunization to prevent common childhood infections; vitamin A supplementation in
children; and the treatment of disease in children, adolescents and adults.
This section therefore presents data on the following MDG indicators: antenatal care coverage; births attended
by skilled health personnel; measles immunization coverage among 1-year-olds; children aged <5 years sleeping under
insecticide-treated nets; children aged <5 years with fever who received treatment with any antimalarial; unmet need
for family planning; contraceptive prevalence; antiretroviral therapy coverage among people with advanced HIV
infection; smear-positive tuberculosis case-detection rate; and smear-positive tuberculosis treatment-success rate.
Data are also presented on births by caesarean section; neonates protected at birth against neonatal tetanus;
1-year-olds immunized against diphtheria, tetanus and pertussis (DTP3), hepatitis B (HepB3), and Haemophilus
influenzae type B (Hib3); vitamin A supplementation in children; children aged <5 years with acute respiratory
infection (ARI) symptoms taken to a health facility; children aged <5 with diarrhoea receiving oral rehydration
therapy (ORT); and HIV-infected pregnant women receiving antiretroviral therapy for the prevention of mother-tochild transmission (PMTCT) of HIV.
Coverage indicators are typically calculated by dividing the number of people receiving a defined intervention
by the population eligible for – or in need of – the intervention. For example, immunization coverage among 1-yearold children can be calculated from the number of children having received a specific vaccine divided by the total
population of children aged one in each country (Figure 10 and Box 3). For indicators on antenatal care, births
attended by skilled health personnel and births by caesarean section, the denominator is the total number of live
births in the defined population.
The main sources of data on health service coverage are household surveys and completed questionnaires on
health service use. The principal types of surveys used are the UNICEF Multiple Indicator Cluster Survey (MICS),
the Demographic and Health Survey (DHS) and country health and economic surveys. Another source of data is
the administrative records of routine service provision, which provide data on the numerator. The denominator is
estimated on the basis of census projections.
It should be borne in mind that administrative records tend to overestimate coverage as a result of double
counting in the numerator and uncertainty in the denominator. Although household surveys are generally considered
to be more reliable, these are subject to respondent reporting errors as well as to margins of uncertainty due to
sampling errors. In generating global estimates, it is good practice to reconcile data from multiple sources in order to
maximize the accuracy of all estimates.
Unavoidable differences in terminology also occur from country to country making standardization difficult. For
example, there are significant variations across countries in the precise skills and training of health workers grouped as
“skilled birth attendants”. Indicator definitions may also change over time. As a result of these and other issues, there
may be limitations on the comparability of results across countries and over time.
Regional aggregates are not available for several coverage indicators, reflecting both the limited availability of data
for several indicators, and the fact that some conditions (such as malaria) are not of public health significance in all
countries.
85
WORLD HEALTH STATISTICS
2010
Figure 10: Immunization (DTP3) coverage among 1-year-olds by country-income group – 2000 and 2008
Low income
Middle income
High income
100
95
96
95
90
90
81
80
70
62
Percentage
60
50
40
30
20
10
0
2000
2008
2000
2008
Note: Solid horizontal lines indicate the median.
86
2000
2008
Table 4
WORLD HEALTH STATISTICS
2010
Box 3: Trends in immunization coverage
In Figure 10, each circle represents a country (note that circles may overlap). From the data presented,
three major conclusions emerge:
Low-income countries demonstrated substantial increases in DPT3 immunization coverage between 2000
and 2008 – median immunization coverage rose from 62% to 81% over the 8-year period and by 2008,
one quarter of all low-income countries had achieved coverage levels of 91% or higher.
Despite these gains, immunization coverage in low-income countries remains significantly below the levels
in middle-income and high-income countries – in 2008, median coverage was 95% and 96% respectively
in such countries, compared with 81% in low-income countries.
There are wide variations in immunization coverage levels within the middle-income and low-income
country groups – with levels in 2008 ranging from as low as 20% up to 99% (representing a five-fold
difference). Improvements in the level of immunization coverage must continue to be achieved in a
number of countries if such wide variations are to be reduced and median levels of coverage increased.
87
4. Health service coverage
Member State
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Cook Islands
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
Djibouti
MDG 5
Antenatal care
coverage
(%)
At
At
least
least
1 visita 4 visitsb
MDG 5
Births
attended
by skilled
health
personnelb
(%)
2000–2009
1990– 2000–
1999 2008
16
97
89
…
80
100
99
93
…
…
77
98
…
51
100
99
…
94
84
88
77
99
97
98
…
…
85
92
69
82
…
98
69
39
…
91
94
75
86
…
90
85
…
100
…
…
…
85
…
92
…
41
41
…
…
…
89
71
…
…
45
…
…
21
…
…
…
…
61
…
58
…
97
88
…
…
18
79
27
60
…
72
…
18
…
…
83
…
75
…
…
45
…
…
…
…
95
47
…
7
…
89
77
…
23
100
97
93
99
100
100
99
98
14p
100
100
99o
79
64m
15
47m
99
…
97r
99
99
42
…
34
55
98
89q
46
12
100
89
93r
52
…
100
97
45
100
100
…
100
…
70
…
…
14
100
95
…
47m
100
99
98
99o
…
89m
99
99
18m
100
100m
…
96m
78m
51
66
100m
94q
97
100
99
54
34
44
63
100
78p
54r
14
100
98
96r
62r
86m
100
94
57
100
100
100
100
97
74
…
93r
Births by
caesarean
sectionb
(%)
Immunization coverage among 1-year-oldsd
(%)
Neonates
protected at
birth against
neonatal tetanusc
(%)
MDG 4
DTP3
Measles
2000–
2008
…
24.3
…
…
…
…
…
9.0
30.8
25.8
4.7
…
…
3.5
…
19.5
…
…
3.6
…
14.6
…
7.7
41.3
…
23.6
0.7
…
1.8
2.0
26.3
10.7
…
0.4
30.7
23.0
26.7
…
3.2
…
…
6.4
16.2
28.5
…
18.4
…
4.0
20.3
10.0
HepB3
Hib3
1990 2000 2008 1990 2000 2008 1990 2000 2008 2000 2008 2000 2008
13
30
75
…
34
…
…
…
…
…
…
71
48
70
…
…
…
88
48
63
23
…
59
63
40
…
55
67
11
19
…
75
69
14
…
…
45
78
60
…
…
36
…
…
…
…
90
53
…
80
88
32
86
64
…
60
…
…
…
…
…
…
85
77
89
…
…
…
85
87
85
67
…
80
92
77
…
57
51
58
54
…
60
36
39
…
…
70
57
67
…
…
76
…
…
…
…
81
45
…
46
83
87
71
…
79
…
…
…
…
…
…
90
63
91
…
…
…
88
92
89
74
…
85
92
65
…
79
78
87
86
…
78
86
58
…
…
78
83
82
…
…
92
…
…
…
…
91
75
…
79
20
88
83
…
38
89
93
…
86
60
…
86
87
65
87
…
85
86
79
93
53
…
87
78
99
99
79
74
34
56
89
79
82
32
97
98
82
87
75
67
90
56
…
94
77
…
98
38
84
85
35
95
80
97
41
95
91
92
91
75
67
93
98
76
94
98
82
96
72
76
81
80
91
99
99
89
51
76
65
49
95
78
36
28
97
85
80
70
34
76
82
73
93
94
86
98
78
46
99
50
75
98
88
98
79
99
99
94
94
83
66
90
99
89
92
99
93
96
61
99
86
84
94
99
97
96
75
84
89
80
94
96
62
23
92
94
92
76
79
95
91
63
96
99
87
97
98
67
89
73
25
94
89
…
24
99
87
…
95
90
…
86
94
69
91
…
93
91
74
96
41
…
92
66
93
99
66
86
38
48
88
88
82
20
95
97
88
94
79
93
95
54
…
92
93
…
98
35
90
85
31
97
92
98
31
95
83
93
90
81
73
99
97
83
93
99
95
91
79
92
80
85
97
98
99
93
49
76
59
53
91
86
37
24
91
85
79
70
33
97
88
72
93
95
97
98
56
43
97
46
85
99
93
99
81
99
96
89
92
83
70
93
97
95
93
97
99
94
67
96
83
91
96
97
99
95
79
92
91
84
94
98
54
20
96
97
92
81
89
99
90
74
96
99
97
99
92
69
75
89
…
96
…
84
…
…
…
55
…
33
…
…
97
…
…
70
60
76
…
98
80
…
86
94
99
94
…
…
…
…
…
…
…
…
…
72
78
…
…
97
89
…
…
98
89
…
…
…
…
…
85
99
91
91
83
99
92
89
94
83
46
90
97
95
93
98
98
94
67
96
83
88
93
96
99
96
79
92
91
84
14
91
…
10
96
95
92
81
89
99
89
74
97
99
93
99
92
69
…
88
…
…
…
90
…
…
83
…
90
72
…
90
97
…
…
…
86
…
…
…
80
…
…
90
…
…
…
…
…
…
86
…
…
…
91
…
65
…
…
…
92
…
…
78
32
…
…
…
95
…
…
…
93
98
83
99
96
…
94
83
…
94
97
…
93
6
98
94
67
…
83
83
…
97
99
…
79
92
…
…
94
…
…
10
96
…
92
…
…
…
87
…
96
99
90
99
…
…
75
89
WORLD HEALTH STATISTICS
2010
2000–2008
…
8.0
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
23.8
…
…
23.5
…
…
28.3
…
…
67.1
…
…
57.7
…
…
60.2
34.3
…
…
…
…
…
…
…
54.8
…
…
…
…
…
…
…
17.9
Children aged <5 years
(%)
MDG 6
Sleeping
under
insecticidetreated
netsf
MDG 6
With fever who
received treatment with any
antimalarialf
2000–2008
6
…
…
…
17
…
…
…
…
…
1
…
…
…
…
…
…
…
20
…
…
…
…
…
…
…
10
8
4
13
…
…
15
1
…
…
…
9
6
…
…
6
…
…
…
…
…
6
…
1
MDG 5
With ARI
symptoms
taken to
facilitye
With
diarrhoea
receiving
ORTe
2000–2008
8
…
…
…
28
…
…
…
…
…
1
…
…
…
…
…
…
…
54
…
…
…
…
…
…
…
48
30
0
58
…
…
57
32
…
…
…
63
48
…
…
36
…
…
…
…
…
30
…
10
…
45.3
52.6
…
…
…
…
31.9
…
…
32.5
…
…
57.2
…
89.5
…
70.9
35.7
…
50.9
91.3
…
49.7
…
…
38.5
37.8
45.4
34.8
…
51.4
31.8
6.5
…
…
…
…
47.5
…
…
35.1
…
…
…
…
…
…
…
…
…
89.1
26.6
…
…
…
…
41.9
…
…
31.3
…
…
81.2
…
84.9
…
60.6
30.1
…
43.6
64.8
…
51.3
…
…
23.3
36.5
35.8
19.2
…
99.8
34.3
17.7
…
…
55.4
…
27.0
…
…
32.6
…
…
…
…
…
44.9
…
71.0
MDG 5
Unmet need Contrafor family
ceptive
planningg prevalenceg
(%)
(%)
2000–
2007
2000–
2008
…
1.3
…
…
…
…
…
13.3
…
…
22.7
…
…
17.1
…
…
…
…
29.9
…
22.7
…
…
…
…
…
28.8
29.0
25.1
20.2
…
16.7
…
23.3
…
2.3
5.8
…
16.2
…
…
…
…
…
…
…
…
24.4
…
…
18.6
60.1l
61.4l
…
6.2l
…
65.3n
53.1l
70.8n
…
51.1l
…
…
55.8
…
72.6l
74.6n
34.3l
17.0l
30.7
60.6l
35.7l
44.4
…
…
…
17.4l
19.7
40.0l
29.2l
74.0n
61.3
19.0l
2.8l
64.2l,s
86.9l
78.2l
25.7l
44.3l
…
…
12.9l
…
72.6l
…
…
68.6l
20.6l
…
17.8
Antiretroviral therapy
coverage (%)
MDG 6
Among
HIV-infected
pregnant women
(PMTCT)h
Among people
with advanced
HIV infectioni
2008
2007
…
…
…
…
19
…
…
…
…
…
…
…
…
…
…
…
…
…
40
…
…
…
>95
…
…
…
20
9
…
28
…
…
23
5
…
…
…
…
10
…
…
41
…
…
…
…
…
5
…
6
89
[1–9]
[12–37]
[ >95– >95]
[9–40]
[25– >95]
[5–15]
[20–68]
[26–86]
[86– >95]
[6–21]
[75– >95]
[3–9]
[13–39]
[6–21]
[35– >95]
[20–53]
[16–44]
[3–9]
[32– >95]
[8–24]
[0–0]
[7–20]
[13–50]
[28–83]
[34– >95]
[4–10]
[4–13]
…
…
20
…
25
…
73
12
…
…
14
…
…
7
…
20
…
49
49
…
22
…
79
80
…
…
35
23
67
25
…
…
21
13
82
19
38
…
17
…
>95
28
…
>95
…
…
0
24
…
16
[10–36]
[11–35]
[57– >95]
[8–17]
[6–24]
[4–12]
[14–29]
[32–76]
[41–60]
[16–30]
[69–91]
[69– >95]
[29–43]
[18–31]
[57–80]
[21–32]
[18–27]
[9–18]
[64– >95]
[12–29]
[26–53]
[14–21]
[64– >95]
[23–35]
[ >95– >95]
[20–29]
[12–21]
MDG 6
MDG 6
Smear-positive tuberculosis
case-detection ratej
(%)
Smear-positive
tuberculosis
treatmentsuccess ratek
(%)
2000
18
64
100
87
46
87
57
93
87
87
33
87
80
25
87
110
87
78
73
50
75
85
66
70
87
220
12
…
44
35
87
…
…
…
77
31
87
51
92
0
120
31
…
96
87
87
43
49
87
56
[15–22]
[53–73]
[86–130]
[77–100]
[38–57]
[77–100]
[47–71]
[78–120]
[77–100]
[77–100]
[27–41]
[77–100]
[67–100]
[21–31]
[77–100]
[92–120]
[77–100]
[65–97]
[61–91]
[42–63]
[62–94]
[71–110]
[55–78]
[58–87]
[77–100]
[190–250]
[10–15]
[37–55]
[29–44]
[77–100]
[64–96]
[26–39]
[72–110]
[42–63]
[77–110]
[0–0]
[97–150]
[26–39]
[80–100]
[77–100]
[77–100]
[36–54]
[40–61]
[77–100]
[46–63]
2008
61
90
78
87
77
87
72
71
87
…
48
87
86
61
87
83
87
120
67
64
77
69
57
75
87
100
15
29
56
93
87
48
68
19
100
72
79
52
56
100
110
42
87
130
87
87
70
66
87
47
[51–76]
2000
85
…
[65–98]
87
[77–100]
50
[64–91]
68
[77–100] 100
[60–90]
47
[59–89]
87
[77–100]
72
73
[40–60]
90
[77–100]
…
[72–100]
73
[51–76]
81
[77–100]
…
[69–100]
…
[77–100]
66
[100–150] 78
[56–84]
…
[53–75]
90
[64–96]
79
[58–77]
94
[48–72]
77
[63–91]
71
[77–100]
63
[86–110]
…
[12–19]
60
[24–37]
80
[47–70]
91
[78–120]
77
[77–100]
35
[40–60]
64
[57–85]
58
[16–23]
…
[86–130]
82
[60–90]
93
[66–99]
80
[44–65]
93
[46–69]
69
[85–130]
…
[88–130]
57
[35–53]
57
[77–100]
…
[110–170] 93
[77–100]
…
[77–100]
70
[59–80]
82
[55–83]
78
[77–100]
86
[39–59]
62
[75–100]
2007
87
85
90
100
74
50
62
70
85
…
58
63
14
92
100
74
68
46
87
93
85
97
73
72
76
79
72
86
94
76
64
…
67
…
85
94
77
93
…
100
88
73
61
92
…
72
87
87
79
81
Table 4
Children aged
6–59 months
who received
vitamin A
supplementatione
(%)
4. Health service coverage
Member State
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
Lithuania
Luxembourg
MDG 5
Antenatal care
coverage
(%)
At
At
least
least
1 visita 4 visitsb
MDG 5
Births
attended
by skilled
health
personnelb
(%)
2000–2009
1990– 2000–
1999 2008
100
99
84
74
94
86
70
…
28
…
…
…
94
98
94
…
90
…
100
84
88
78
81
85
92
…
…
74
93
98
84
…
…
…
91
…
99
100
92
…
…
97
35
…
96
90
79
…
…
…
…
95
57t
65
79
37
41
…
12
…
…
…
63
…
75
…
78
…
…
66
49
62
…
54
81
…
…
37
81
94
…
…
…
68
…
…
94
…
52
…
…
…
…
…
76
70
66
…
…
…
100
96m
99m
46
52
…
21
100
…
99
100
99
…
…
96
…
44
…
100
35
31
…
93
21m
55
99
…
42p
43
…
…
100
…
…
95
100
97
100
44
85
98
98
7
100
89
40
…
94
100
…
94
98m
99m
79
84o
63r
28p
100
6
99
100
…
86
57m
98
100u
57
…
99
41
38r
39r
83m
26m
67m
100
…
47m
73p
97
89
100
…
99o
97r
100
99
100m
42
90
100
98m
20m
100
98
55p
46m
100
100
100
Births by
caesarean
sectionb
(%)
Immunization coverage among 1-year-oldsd
(%)
Neonates
protected at
birth against
neonatal tetanusc
(%)
MDG 4
DTP3
Measles
2000–
2008
…
41.9
25.8
27.6
22.0
…
2.7
19.0
1.0
7.1
16.1
18.8
5.6
…
13.0
27.8
6.9
…
…
11.4
1.7
…
…
3.0
13.0
28.0
15.6
8.5
4.1
…
…
25.4
19.1
37.4
…
…
18.5
10.0
4.0
…
13.9
5.1
…
21.1
23.1
5.1
3.5
…
19.2
24.0
HepB3
Hib3
1990 2000 2008 1990 2000 2008 1990 2000 2008 2000 2008 2000 2008
…
60
82
74
37
58
…
…
24
5
…
…
84
85
…
…
60
…
…
44
27
40
56
39
60
…
…
81
64
71
70
…
…
…
…
…
49
…
60
…
51
…
12
…
…
…
33
…
…
…
90
…
48
42
80
83
61
80
…
54
84
…
…
39
92
…
…
69
…
…
67
79
49
82
41
93
…
…
85
82
82
75
…
…
…
51
…
44
…
68
…
77
…
58
…
…
73
51
…
…
…
…
86
73
85
87
69
86
…
84
94
…
…
73
91
…
…
86
…
…
71
96
94
90
50
94
…
…
86
79
83
69
…
…
…
58
…
87
…
78
…
84
…
47
…
…
83
91
…
…
…
88
70
60
86
98
88
…
…
38
84
97
71
76
86
…
75
61
76
85
68
35
53
73
31
90
99
99
56
58
85
75
78
91
43
74
73
87
…
78
75
66
…
32
…
61
80
…
89
…
80
99
84
72
98
97
51
86
93
52
85
96
84
55
92
73
93
84
89
92
86
42
71
86
55
98
99
91
54
72
99
87
79
97
74
88
96
94
99
75
80
99
98
42
97
79
74
63
92
97
91
99
79
66
92
95
51
95
95
74
94
97
87
55
91
96
95
86
99
99
96
64
76
95
58
95
99
96
70
83
98
69
89
84
91
88
97
95
99
90
72
99
99
52
97
53
85
64
98
97
96
92
69
68
87
80
77
…
…
49
97
90
94
78
92
…
80
58
54
80
66
17
61
83
41
84
99
99
70
60
91
83
65
93
83
86
90
92
…
84
97
71
…
18
…
82
82
…
84
…
90
99
68
78
98
99
33
88
93
56
89
99
97
38
74
80
90
84
89
97
84
45
42
88
45
95
99
98
58
75
99
78
86
96
87
86
85
91
97
75
90
98
99
53
96
86
82
47
94
94
98
96
77
75
97
94
33
97
95
81
99
99
98
38
96
92
90
87
99
99
85
66
63
93
53
93
99
98
66
77
99
62
93
93
96
87
98
97
99
85
82
99
95
61
97
74
83
64
98
96
99
…
68
38
93
99
…
…
…
…
95
…
26
…
87
55
84
…
89
…
…
…
…
…
…
95
…
…
…
65
99
67
…
97
94
…
…
93
99
…
90
95
44
…
95
86
…
…
92
99
49
96
88
75
97
94
…
97
94
81
99
…
29
38
99
89
90
87
95
99
85
71
…
93
…
93
…
…
21
78
99
58
…
96
96
89
…
97
99
85
83
99
97
61
96
74
85
64
98
96
94
…
…
…
…
…
…
…
…
…
86
96
86
…
74
…
94
…
89
33
…
…
…
…
…
95
99
98
…
…
…
…
85
94
55
…
…
…
…
…
…
98
…
…
79
…
…
…
…
2
91
96
79
75
…
94
…
97
95
81
99
98
87
…
96
…
93
87
83
99
85
…
…
93
…
93
99
98
…
…
…
…
93
93
96
87
…
97
49
85
83
99
…
…
96
74
…
64
98
96
98
WORLD HEALTH STATISTICS
2010
2000–2008
…
…
…
12.4
…
…
38.0
…
45.8
…
…
…
…
80.1
…
…
…
…
…
…
68.2
58.6
…
…
…
…
…
…
…
…
2.0
…
…
…
…
…
…
…
33.3
…
…
47.0
18.1
…
…
54.6
…
…
…
…
Children aged <5 years
(%)
MDG 6
Sleeping
under
insecticidetreated
netsf
MDG 6
With fever who
received treatment with any
antimalarialf
2000–2008
…
…
…
…
…
42
4
…
33
…
…
…
…
49
…
…
28
…
…
…
1
39
6
…
…
…
…
…
3
…
0
…
…
…
…
…
…
…
39
…
…
…
18
…
…
…
3
…
…
…
MDG 5
With ARI
symptoms
taken to
facilitye
With
diarrhoea
receiving
ORTe
2000–2008
…
…
…
…
…
16
4
…
10
…
…
…
…
63
…
…
24
…
…
…
44
46
1
5
1
…
…
12
1
…
1
…
…
…
…
…
…
…
24
…
…
…
9
…
…
…
59
…
…
…
…
67.3
…
73.0
…
…
43.6
…
18.7
…
…
…
47.7
68.9
73.6
…
60.4
…
…
…
42.0
4.3
64.1
31.5
53.9
…
…
67.3
…
…
81.6
…
…
…
75.1
…
75.0
70.5
49.1
…
…
62.1
32.3
…
…
58.8
62.2
…
…
…
…
46.3
…
28.4
…
…
55.7
…
27.5
…
…
…
35.4
48.2
50.1
…
51.9
…
…
…
36.6
46.3
51.7
43.8
55.7
…
…
26.0
46.1
…
30.7
…
…
…
…
…
24.9
74.0
29.2
…
…
20.4
50.5
…
…
75.2
58.1
…
…
…
MDG 5
Unmet need Contrafor family
ceptive
planningg prevalenceg
(%)
(%)
2000–
2007
2000–
2008
…
11.4
7.4
10.3
8.9
…
27.0
…
33.8
…
…
…
28.0
…
16.3
…
34.0
…
…
27.6
21.2
…
…
37.5
16.9
…
…
12.8
9.1
…
…
…
…
…
11.7
…
11.9
…
24.5
…
…
…
39.5
…
…
30.9
35.6
…
…
…
…
72.9l
72.7
60.3l
72.5l
10.1l
8.0l
…
14.7l
…
…
81.8l
32.7l
17.5
47.3
…
23.5
76.2n,v
…
43.3l
9.1l
10.3l
34.2l
32.0l
65.2l
…
…
56.3
61.4l
73.3n
49.8l
75.0l,n
…
…
69.0
54.3
57.1l
50.7l
39.3
36.1n
…
47.8l
32.2
…
58.0
37.3
11.4
…
…
…
Antiretroviral therapy
coverage (%)
MDG 6
Among
HIV-infected
pregnant women
(PMTCT)h
Among people
with advanced
HIV infectioni
2008
2007
…
…
…
…
…
40
29
…
18
…
…
…
35
…
…
…
39
…
…
…
22
20
…
46
…
…
…
…
…
…
…
…
…
…
…
…
…
…
56
…
…
…
…
…
…
57
14
…
…
…
91
…
38
[24–81]
42
[1–3]
9
[23–69]
51
[25–76]
31
[16–59]
13
…
[12–35]
29
[17–75]
…
…
…
[22–70]
42
[18–64]
18
[78– >95] …
…
[26–78]
15
…
…
[9–29]
37
[15–45]
27
[12–39]
20
[85– >95] 45
[29–92]
41
[27–94]
47
[2–8]
22
…
[13–42]
…
[4–15]
15
[3–10]
5
…
…
…
…
[70– >95] 43
…
…
[ >95– >95] 23
[37– >95] 38
…
…
[5–19]
14
[8–28]
>95
[56– >95] 15
26
[43–94]
26
[9–29]
17
…
[ >95– >95] 18
…
[37– >95]
[31–48]
[25–71]
[7–13]
[9–74]
[23–43]
[9–20]
[25–36]
[30–60]
[12–37]
[13–19]
[28–51]
[21–37]
[13–30]
[33–61]
[33–51]
[29–71]
[13–38]
[8–28]
[4–7]
[32–60]
[14–36]
[31–48]
[8–26]
[59– >95]
[9–22]
[11–45]
[21–33]
[9–23]
[8–31]
MDG 6
MDG 6
Smear-positive tuberculosis
case-detection ratej
(%)
Smear-positive
tuberculosis
treatmentsuccess ratek
(%)
2000
…
59
69
61
82
…
34
84
33
52
87
87
…
…
39
…
32
87
0
48
42
38
27
45
84
87
87
45
28
61
48
87
87
87
95
87
86
99
53
31
87
57
35
94
91
68
27
68
85
87
[49–73]
[57–86]
[52–74]
[68–100]
[29–43]
[70–100]
[27–41]
[44–65]
[77–100]
[77–100]
[32–45]
[27–40]
[77–100]
[0–0]
[40–60]
[35–53]
[32–47]
[22–34]
[37–56]
[70–95]
[77–100]
[77–100]
[34–51]
[23–35]
[51–76]
[40–61]
[77–100]
[77–100]
[77–100]
[79–120]
[77–100]
[72–100]
[82–110]
[44–66]
[26–39]
[77–100]
[47–68]
[29–44]
[78–100]
[76–100]
[57–73]
[22–34]
[57–85]
[71–95]
[77–100]
2008
60
60
62
78
90
87
32
88
32
95
87
87
54
54
130
87
30
87
210
43
40
62
66
60
72
87
87
70
80
78
39
87
87
87
78
87
91
74
68
86
87
65
67
120
91
69
51
83
120
…
[50–75]
2000
…
70
[52–78]
…
[67–95]
87
[75–100]
79
[77–100]
…
[26–40]
76
[73–100]
70
[27–40]
80
[79–120]
85
[77–100]
…
[77–100]
…
[45–67]
…
[45–67]
…
[110–140] 63
[77–100]
77
[25–38]
50
[77–100]
…
[170–260] …
[36–53]
86
[33–50]
68
[52–78]
…
[55–83]
55
[50–75]
71
[60–89]
86
[77–100]
64
[77–100] 100
[53–80]
34
[67–100]
87
[65–97]
85
[33–49]
92
[77–100]
84
[77–100]
78
[77–100]
74
[65–98]
45
[77–100]
45
[76–100]
90
[62–87]
79
[57–85]
80
[72–89]
91
[77–100]
69
[54–81]
82
[56–84]
77
[97–120]
72
[76–100]
92
[58–75]
…
[43–64]
80
[69–100]
…
[100–140] 73
…
[50–75]
2007
67
78
75
89
91
60
88
61
84
81
70
…
36
84
77
77
84
…
100
84
79
71
71
82
85
51
86
87
91
83
86
70
77
…
56
46
77
69
85
93
79
85
92
82
90
67
71
67
70
…
Table 4
Children aged
6–59 months
who received
vitamin A
supplementatione
(%)
4. Health service coverage
Member State
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Republic of Korea
Republic of Moldova
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
MDG 5
Antenatal care
coverage
(%)
At
At
least
least
1 visita 4 visitsb
MDG 5
Births
attended
by skilled
health
personnelb
(%)
2000–2009
1990– 2000–
1999 2008
80
92
79
81
70
…
81
75
…
94
…
…
99
97
68
89
76
95
95
44
…
…
90
46
58
…
…
100
61
…
…
79
96
91
91
…
…
…
…
98
94
…
96
100
99
95
…
…
98
…
40
57
…
91
35
…
…
16
…
…
…
…
…
…
31
53
66w
70
…
29
…
…
78
15
45
…
…
83
28
…
…
…
79
87
78
…
…
…
…
89
76
…
13
…
…
…
…
…
…
…
47
50
81
…
40q
…
95
40
99
74
93
…
99
…
40
44p
46
68
…
9p
100
93o
61
18
42m
100
…
91
19p
100
86
47
61
56
56
100
100
99
100
99o
99o
99
26
100
100
100
100
…
…
91
r
51
54
100
84
49q
100u
95
61m
99o
94
88
…
99
99r
63
48p
57
81
97
19
100
94o
74
18
39m
100
…
98
39m
100
91
39o
77
73m
62
100
100
100
100
100m
99
100
52p
100
98
100
100
…
81
96
Births by
caesarean
sectionb
(%)
Immunization coverage among 1-year-oldsd
(%)
Neonates
protected at
birth against
neonatal tetanusc
(%)
MDG 4
DTP3
Measles
2000–
2008
1.0
3.1
…
…
1.6
34.3
…
3.2
37.0
36.1
…
…
…
11.4
5.4
1.9
…
12.7
…
2.7
13.7
23.7
19.6
1.0
1.8
…
16.6
…
7.3
…
…
4.7
26.9
15.8
9.5
…
34.0
…
37.7
8.5
21.4
17.2
2.9
…
…
…
…
…
…
11.6
HepB3
Hib3
1990 2000 2008 1990 2000 2008 1990 2000 2008 2000 2008 2000 2008
45
81
82
86
45
…
…
24
61
59
…
…
…
…
66
37
62
…
…
35
…
…
39
17
32
…
…
93
50
…
…
78
66
19
57
…
…
…
…
…
…
…
85
…
…
…
…
…
…
…
92
58
84
88
95
50
…
…
44
79
81
…
…
…
…
86
75
79
74
…
67
…
…
83
63
57
…
…
94
71
…
…
24
47
66
55
…
…
…
…
…
…
…
81
…
…
…
…
…
…
…
76
87
87
95
92
…
…
77
87
87
…
…
…
…
86
83
93
82
…
81
…
…
80
84
64
…
…
91
80
…
…
61
74
67
58
…
…
…
…
…
…
…
85
…
…
…
…
…
…
…
47
81
70
96
43
80
52
38
76
75
81
99
92
…
79
59
68
…
…
57
94
90
82
25
54
99
87
98
50
98
73
67
69
64
85
95
85
79
93
…
92
…
83
99
82
96
89
…
71
88
56
73
88
99
49
74
94
62
84
96
85
99
92
…
93
71
84
69
8
71
96
85
86
34
35
99
88
99
56
83
97
62
92
97
80
97
87
91
95
89
98
97
74
99
88
96
93
74
69
94
81
88
95
97
68
78
94
65
98
96
92
99
97
89
96
77
82
73
99
79
96
86
99
80
62
99
93
99
85
97
85
54
77
90
92
98
97
92
92
94
97
99
92
99
99
99
45
73
93
97
46
87
90
94
42
63
92
33
85
53
85
99
84
…
81
46
88
…
74
43
97
90
70
22
56
99
86
98
54
99
86
68
67
72
88
96
89
82
74
…
96
…
84
99
89
98
90
99
92
92
57
75
95
98
40
94
39
40
88
97
85
99
95
…
95
68
82
79
44
72
97
90
83
31
24
99
90
99
61
96
98
59
86
91
79
98
96
80
97
95
99
97
90
99
70
99
99
96
82
95
82
91
90
98
68
72
93
74
99
98
79
99
96
95
99
72
85
83
99
82
97
89
96
66
54
99
94
92
73
92
82
52
76
99
91
99
97
94
94
95
97
98
97
99
96
99
46
87
99
98
…
…
94
96
…
…
36
…
88
97
87
99
93
…
43
…
…
…
58
…
…
90
83
…
…
99
…
99
…
96
…
57
…
…
19
99
58
89
93
92
98
…
…
99
…
…
96
94
…
93
82
91
90
98
68
59
93
74
99
98
90
99
96
93
97
72
84
…
99
82
…
90
96
…
41
99
…
92
73
92
83
56
76
99
88
98
97
94
94
98
99
98
97
98
96
99
38
87
99
98
…
…
…
…
…
93
45
…
…
97
75
99
…
…
…
…
…
…
…
…
96
90
83
…
…
99
93
…
…
96
…
…
…
38
…
…
86
80
…
…
…
…
…
12
…
…
…
92
…
…
13
91
90
…
68
72
83
…
99
98
79
99
96
93
99
…
…
…
…
…
97
86
96
…
…
99
94
92
…
92
83
…
76
99
…
88
97
94
…
…
…
…
97
97
96
99
32
87
…
98
Children aged
6–59 months
who received
vitamin A
supplementatione
(%)
2000–2008
76.2
68.5
…
…
…
…
…
55.5
…
…
…
…
64.7
…
25.5
49.8
…
…
…
…
…
…
65.3
…
25.8
…
…
…
…
…
…
…
…
…
76.0
…
…
…
…
…
…
…
72.0
…
…
…
…
…
…
…
Children aged <5 years
(%)
MDG 6
Sleeping
under
insecticidetreated
netsf
MDG 6
With fever who
received treatment with any
antimalarialf
2000–2008
60
25
…
…
27
…
…
2
…
…
…
…
…
…
…
7
…
…
…
…
…
…
…
7
6
…
…
…
0
…
…
…
…
…
…
…
…
…
…
…
…
…
24
…
…
…
…
…
54
…
MDG 5
With ARI
symptoms
taken to
facilitye
With
diarrhoea
receiving
ORTe
2000–2008
34
24
…
…
32
…
…
21
…
…
…
…
…
…
…
23
…
14
…
…
…
…
2
33
33
…
…
…
3
…
…
…
…
…
…
…
…
…
…
…
…
…
6
…
…
…
…
…
25
…
47.9
51.8
…
…
38.1
…
…
44.5
…
…
…
…
62.6
89.4
37.8
55.4
…
71.5
…
34.3
…
…
57.7
47.2
45.4
…
…
…
80.5
…
…
…
…
66.8
54.8
…
…
…
…
59.7
…
…
28.0
…
…
…
…
…
…
…
42.7
55.3
…
…
24.3
…
…
30.5
…
…
…
…
62.8
98.1
28.0
54.1
…
69.3
…
29.3
…
…
54.1
26.2
31.2
…
…
…
47.2
…
…
…
…
36.6
57.6
…
…
…
…
34.9
…
…
30.8
…
…
…
…
…
…
…
MDG 5
Unmet need Contrafor family
ceptive
planningg prevalenceg
(%)
(%)
2000–
2007
23.6
27.6
…
…
31.2
…
…
31.6
3.5
12.0
…
…
4.6
…
10.0
18.4
19.1
6.7
…
24.6
…
…
7.5
15.8
16.9
…
…
…
24.9
…
…
…
6.6
8.1
17.3
…
…
…
…
6.7
11.9
…
37.9
…
…
…
…
…
…
…
2000–
2008
l
27.1
41.0l
…
39.0l
8.2l
…
…
9.3l,v
75.8
70.9l
…
…
66.0l
39.4l
63.0l
16.5
37.0
55.1
35.6l
48.0
67.0
…
72.4l
11.2l
14.7l
…
88.4l,n
…
29.6
32.8n
…
…
79.4l
71.3l
50.6l
…
67.1l,n
…
84.5l
67.8l
70.3
…
36.4l
…
…
…
…
…
29.3l
23.8x
Antiretroviral therapy
coverage (%)
MDG 6
Among
HIV-infected
pregnant women
(PMTCT)h
Among people
with advanced
HIV infectioni
2008
2007
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
42
…
91
…
…
…
…
…
…
10
…
…
…
…
…
…
13
…
…
…
…
…
…
…
…
…
…
72
…
…
…
…
…
…
…
93
[1]
[41– >95]
[10–39]
[0–0]
[17–54]
[5–29]
[8–37]
[5–16]
[0–0]
[9–33]
[26–93]
[14–65]
[63– >95]
[2–6]
[65– >95]
[19–67]
[7–18]
[11–44]
[<1–2]
[13– >95]
[9–28]
[29– >95]
[29– >95]
[<1–1]
[25– >95]
[32– >95]
[45– >95]
4
35
35
…
41
…
…
23
22
57
…
…
…
…
31
24
15
88
…
7
…
…
30
10
26
…
…
…
3
…
56
38
22
48
31
36
…
…
…
…
73
16
71
…
…
…
…
…
…
…
[3–7]
[29–42]
[24–49]
[32–51]
[13–40]
[14–32]
[40–80]
[21–44]
[20–31]
[11–20]
[73– >95]
[5–11]
[11–43]
[7–13]
[17–36]
[2–4]
[43–71]
[33–45]
[12–37]
[36–62]
[22–45]
[20–62]
[62– >95]
[10–25]
[62–84]
MDG 6
MDG 6
Smear-positive tuberculosis
case-detection ratej
(%)
Smear-positive
tuberculosis
treatmentsuccess ratek
(%)
2000
…
38
65
67
14
87
17
40
71
66
22
…
57
…
97
45
19
77
180
71
87
87
76
33
12
…
87
95
2
…
58
29
62
84
53
61
87
72
87
38
90
49
31
0
53
58
64
87
34
61
[32–48]
[54–81]
[56–83]
[12–18]
[77–100]
[14–22]
[33–49]
[59–89]
[55–82]
[19–28]
[48–72]
[81–110]
[38–56]
[16–24]
[64–87]
[150–200]
[59–89]
[77–100]
[77–100]
[63–95]
[27–41]
[10–15]
[77–100]
[79–100]
[2–3]
[49–70]
[24–36]
[52–78]
[70–100]
[44–66]
[51–75]
[77–100]
[60–90]
[77–100]
[32–48]
[75–110]
[41–62]
[26–39]
[0–0]
[44–67]
[48–72]
[53–80]
[77–100]
[28–42]
[50–76]
2008
57
37
76
86
21
87
44
28
54
100
75
…
69
120
96
47
43
71
340
64
87
87
94
40
24
…
87
95
58
…
91
29
81
93
67
74
87
81
87
79
110
73
26
190
130
73
37
…
59
86
[47–71]
[31–46]
[64–95]
[71–91]
[17–26]
[77–100]
[37–45]
[23–35]
[45–68]
[87–110]
[62–93]
[57–83]
[100–130]
[80–110]
[39–59]
[35–53]
[59–85]
[290–430]
[54–80]
[77–100]
[77–100]
[78–110]
[34–50]
[20–29]
[77–100]
[79–100]
[49–73]
[76–96]
[24–34]
[67–100]
[78–99]
[56–84]
[61–92]
[77–100]
[68–100]
[77–100]
[66–99]
[90–140]
[61–86]
[22–32]
[160–230]
[110–150]
[61–91]
[31–47]
[49–74]
[72–100]
2000
2007
70
73
78
97
…
100
91
…
93
76
93
…
87
…
89
75
82
56
25
84
76
30
82
65
79
…
70
93
74
…
60
63
66
90
88
72
79
66
83
63
70
68
61
…
100
100
92
0
78
73
80
85
72
68
78
75
96
66
85
84
65
…
89
79
86
79
85
82
100
88
79
86
86
79
82
…
79
91
91
…
79
39
82
92
89
76
87
67
82
62
85
58
86
25
84
…
92
…
90
67
Table 4
WORLD HEALTH STATISTICS
2010
4. Health service coverage
Member State
MDG 5
Antenatal care
coverage
(%)
At
At
least
least
1 visita 4 visitsb
MDG 5
Births
attended
by skilled
health
personnelb
(%)
2000–2009
1990– 2000–
1999 2008
r
Births by
caesarean
sectionb
(%)
Immunization coverage among 1-year-oldsd
(%)
Neonates
protected at
birth against
neonatal tetanusc
(%)
MDG 4
DTP3
Measles
2000–
2008
HepB3
Hib3
1990 2000 2008 1990 2000 2008 1990 2000 2008 2000 2008 2000 2008
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Thailand
The former Yugoslav Republic of
Macedonia
87
98
…
87
…
…
…
74
26
92
…
99
64
90
85
…
…
84
89
98
94
40
…
…
56
…
…
…
…
6
56
…
…
…
…
79
…
…
42
…
74
…
47
…
…
…
100
100
100
…
34r
84
…
…
…
80
…
…
…
76
81
85
94
52
99r
…
42p
100o
100
100
43o
33q
91
…
99
49q
90m
74r
…
100u
93m
83m
99
98m
3.3
14.7
…
…
…
20.0
16.3
…
…
20.6
25.0
…
4.5
…
7.9
16.5
28.9
14.8
2.1
17.4
11.4
45
…
…
85
…
…
…
71
49
…
…
72
72
92
63
…
…
63
…
75
…
62
…
…
53
…
…
…
75
47
68
…
92
61
92
80
…
…
90
…
85
…
88
…
…
97
…
…
…
85
49
75
…
93
70
93
86
…
…
94
…
91
…
51
…
86
…
84
…
…
70
30
79
99
80
57
65
85
96
90
87
…
80
…
48
89
97
37
96
98
95
87
38
72
94
99
58
70
72
91
81
83
87
94
97
77
92
99
60
95
99
96
60
24
62
98
98
79
86
95
96
87
81
86
98
98
51
…
99
…
85
…
…
77
19
72
86
86
62
83
89
99
90
91
…
92
…
52
95
98
44
98
99
91
82
33
72
95
99
62
71
77
99
88
85
83
97
95
88
95
99
60
97
99
97
78
31
67
97
98
86
84
95
98
95
82
86
99
95
…
…
97
…
97
99
…
77
…
71
77
…
…
…
76
…
…
78
…
95
…
88
93
99
60
96
99
98
77
…
67
97
98
86
84
95
…
…
82
86
98
97
…
…
…
…
…
59
…
…
…
72
92
…
…
…
…
98
86
…
…
…
…
88
98
…
60
…
99
97
36
…
67
97
…
86
84
…
98
93
82
46
…
13
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzania
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
61
84
…
96
96
92
99
97
94
99
…
…
76
…
97
99
84
94
91
47
94
94
30
…
…
…
68
54
83
…
47
75aa
…
…
62
…
…
…
…
…
29
14
72
71
…
51
…
99
81
81
…
99
38
100
99
99
39m
98
99
98
89
95
77
22
47
69
19
62r
99
98
90
83
100
100
42
99
100
…
46m
99
99
100m
93
95
88m
36
47p
69
…
…
…
…
20.5
21.2
3.4
…
3.1
10.4
15.2
22.0
3.2
30.2
23.8
4.9
…
25.1
9.9
…
2.1
4.8
…
47
…
…
40
20
…
…
41
…
…
…
77
…
…
…
47
…
24
17
62
57
…
63
…
…
68
50
…
…
70
…
…
…
79
…
…
…
86
…
86
54
78
76
66
81
…
…
96
71
…
…
85
…
…
…
81
…
…
…
73
52
84
63
90
76
…
73
86
70
93
78
…
95
52
…
80
87
80
90
97
…
66
61
88
69
90
87
…
58
95
90
95
86
97
81
59
99
94
88
78
91
89
99
94
84
97
62
85
75
73
77
99
91
98
97
99
93
68
94
92
86
88
92
95
98
65
82
92
62
85
66
…
77
94
82
93
84
…
99
45
…
85
84
78
90
97
…
76
63
88
84
91
88
…
64
95
90
97
85
97
82
56
99
94
92
79
94
90
99
90
77
96
62
78
76
79
89
99
90
99
96
96
99
64
90
92
92
84
96
94
98
76
47
93
69
80
62
…
…
97
…
94
71
…
81
…
4
92
…
…
90
92
1
75
5
…
15
…
76
79
24
98
90
99
92
96
99
68
84
92
…
84
93
94
91
76
50
87
69
80
62
…
…
…
74
…
…
…
…
…
…
92
92
…
93
88
…
…
2
…
…
…
…
…
24
99
90
…
96
…
…
68
81
92
92
…
93
94
…
…
48
…
69
80
62
94
Children aged
6–59 months
who received
vitamin A
supplementatione
(%)
2000–2008
Children aged <5 years
(%)
MDG 6
Sleeping
under
insecticidetreated
netsf
MDG 5
MDG 6
With fever who
received treatment with any
antimalarialf
2000–2008
With ARI
symptoms
taken to
facilitye
With
diarrhoea
receiving
ORTe
2000–2008
MDG 5
Unmet need Contrafor family
ceptive
planningg prevalenceg
(%)
(%)
2000–
2007
2000–
2008
l
Antiretroviral therapy
coverage (%)
MDG 6
Among
HIV-infected
pregnant women
(PMTCT)h
Among people
with advanced
HIV infectioni
2008
2007
75.3
…
…
25.9
…
…
…
…
24.2
39.4
…
…
…
…
…
…
…
2.9
46.6
…
…
31
…
…
26
…
…
…
…
9
…
…
…
28z
3
0
…
…
…
1
…
…
22
…
…
30
…
…
…
…
8
…
…
…
54z
…
26
…
…
…
2
…
…
47.2
92.5
…
45.8
…
…
…
…
13.0
64.8
…
…
…
…
71.6
…
…
76.8
63.9
84.0
92.7
26.7
94.0
…
73.4
…
…
…
…
20.8
63.0
…
…
…
…
88.8
…
…
67.7
58.4
68.3
81.3
31.6
…
…
…
…
…
…
…
…
…
…
18.2
…
…
24.0
…
…
…
…
3.1
…
11.8
41.2l
…
8.2l
…
…
…
…
14.6l
60.3l
65.7
68.0l,y
7.6l
42.1l
50.6l
…
…
58.3l
37.9l
81.1
13.5l
…
…
…
31
…
…
…
…
…
73
…
…
1
…
>95
…
…
…
…
…
…
…
39.3
…
…
…
…
15.8
…
…
…
…
…
45.5
…
…
72.0
…
…
53.1
…
…
…
8
35
…
…
…
…
…
…
9
…
…
…
16
…
…
…
…
…
5
…
41
3
47
37
…
…
…
…
…
…
61
…
…
…
58
…
…
…
…
…
3
…
43
5
…
22.7
…
…
58.6
41.0
50.9
…
73.5
…
…
…
59.4
…
…
67.7
…
…
82.7
…
68.2
26.3
…
21.0
…
…
74.4
…
46.7
…
…
…
…
…
62.2
…
…
78.8
…
…
94.7
86.7
66.8
61.6
3.8
…
…
…
12.1
6.0
10.1
…
40.6
10.3
…
…
21.8
6.3
…
…
…
…
4.8
…
26.5
12.8
10.0l
16.8l
…
42.5l
60.2v
71.0l
61.8l
…
23.7
66.7
…
82.0ab
26.4l
72.8
77.0ac
64.9l
…
…
79.0
27.7l
40.8l
60.2l
…
18
…
…
…
…
…
…
50
…
…
…
…
…
…
…
…
…
…
…
59
36
95
[8–29]
[3–12]
[20–60]
[<1–1]
[53– >95]
[5–22]
[<1–1]
[22– >95]
[87– >95]
[33– >95]
56
17
…
20
…
…
…
…
…
28
…
14
1
45
42
…
…
…
6
61
…
…
19
…
…
[2–7]
29
…
…
…
[36–95]
33
[82– >95]
8
…
…
[53– >95] 31
…
56
[17–74]
24
…
[8–27]
…
[27–87]
26
…
[43– >95] 46
[26–64]
17
[12–37]
[44–70]
[8–30]
[13–30]
[22–36]
[10–20]
[1–2]
[29–72]
[36–50]
[4–11]
[47–81]
[15–24]
[20–39]
[27–40]
[7–11]
[26–38]
[23– >95]
[9–51]
[17–42]
[40–56]
[14–22]
MDG 6
MDG 6
Smear-positive tuberculosis
case-detection ratej
(%)
Smear-positive
tuberculosis
treatmentsuccess ratek
(%)
2000
45
…
67
28
87
87
87
29
32
69
87
72
54
18
49
87
87
89
20
43
52
…
9
110
87
120
36
80
0
49
85
86
87
70
87
76
39
68
75
67
63
48
39
[37–56]
[56–84]
[23–35]
[77–100]
[77–100]
[77–100]
[24–36]
[27–40]
[57–86]
[77–100]
[60–90]
[45–67]
[15–22]
[41–62]
[77–100]
[77–100]
[74–100]
[16–25]
[36–54]
[43–65]
[8–11]
[93–130]
[77–100]
[96–130]
[30–46]
[67–82]
[0–0]
[40–61]
[71–110]
[71–100]
[77–100]
[61–79]
[77–100]
[64–95]
[33–49]
[57–84]
[62–94]
[49–81]
[53–79]
[40–60]
[33–49]
2008
40
170
27
31
87
87
87
46
46
68
87
73
40
19
51
87
87
79
49
64
99
[34–51]
33
14
91
87
99
81
130
110
54
100
50
87
70
87
100
48
52
63
62
61
52
24
[27–41]
[140–210]
[23–34]
[26–39]
[77–100]
[77–100]
[77–100]
[38–57]
[38–58]
[57–85]
[77–100]
[61–91]
[33–50]
[16–23]
[42–63]
[77–100]
[77–100]
[66–98]
[41–62]
[54–81]
[82–110]
[12–18]
[76–110]
[77–100]
[82–110]
[68–100]
[110–160]
[95–140]
[45–68]
[85–130]
[42–63]
[77–100]
[65–75]
[77–100]
[85–110]
[40–60]
[44–65]
[53–79]
[45–75]
[51–76]
[44–65]
[20–30]
2000
2007
52
…
82
77
71
82
84
81
83
63
…
79
75
68
…
79
…
78
77
69
86
77
84
89
89
81
86
82
92
86
74
…
86
78
…
58
66
…
88
83
83
87
…
…
93
68
91
73
81
86
63
…
74
…
78
83
85
80
88
76
92
72
67
69
84
76
93
65
89
91
84
75
75
59
64
77
88
85
84
79
93
82
92
84
85
78
Table 4
WORLD HEALTH STATISTICS
2010
4. Health service coverage
Member State
MDG 5
Antenatal care
coverage
(%)
At
At
least
least
1 visita 4 visitsb
MDG 5
Births
attended
by skilled
health
personnelb
(%)
2000–2009
1990– 2000–
1999 2008
Births by
caesarean
sectionb
(%)
Immunization coverage among 1-year-oldsd
(%)
Neonates
protected at
birth against
neonatal tetanusc
(%)
MDG 4
DTP3
Measles
2000–
2008
HepB3
Hib3
1990 2000 2008 1990 2000 2008 1990 2000 2008 2000 2008 2000 2008
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
16
91
100
6
62
97
7
93
100
6
95
100
0.4
13.8
41.9
5
58
93
24
71
95
47
84
97
20
80
99
8
87
99
23
92
99
17
86
99
24
90
99
20
93
99
1
90
99
10
92
99
2
90
99
6
93
99
73
94
75
…
65
90
44
…
43
…
44
…
48
87
40
95
38
85
47
92
49
96
59
92
3.4
30.8
7.6
19.0
11.8
23.9
43
51
76
21
57
42
62
74
85
51
69
68
78
81
86
72
79
71
57
80
59
80
67
94
56
92
61
91
72
85
73
93
75
94
83
93
57
74
70
78
71
94
53
91
65
93
73
85
72
92
72
95
82
95
…
70
…
42
39
59
67
88
41
76
81
89
…
75
…
…
…
…
38
90
…
64
…
…
Low income
Lower middle income
Upper middle income
High income
69
79
94
…
39
47
75
…
42
56
88
98
43
65
95
99
3.3
13.0
28.6
26.8
46
72
46
70
66
80
74
82
79
82
82
82
58
76
77
83
61
71
92
91
76
82
94
93
60
81
71
88
60
73
92
93
75
82
92
95
…
…
68
60
71
63
91
68
…
…
53
70
…
…
76
81
GLOBAL
78
48
61
66
13.9
60
74
81
73
72
83
75
73
82
…
69
…
…
WHO REGION
African Region
Region of the Americas
South-East Asia Region
European Region
Eastern Mediterranean Region
Western Pacific Region
INCOME GROUP
96
Children aged
6–59 months
who received
vitamin A
supplementatione
(%)
2000–2008
Children aged <5 years
(%)
MDG 6
Sleeping
under
insecticidetreated
netsf
MDG 5
MDG 6
With fever who
received treatment with any
antimalarialf
2000–2008
With ARI
symptoms
taken to
facilitye
With
diarrhoea
receiving
ORTe
2000–2008
MDG 5
Unmet need Contrafor family
ceptive
planningg prevalenceg
(%)
(%)
2000–
2007
2000–
2008
Antiretroviral therapy
coverage (%)
MDG 6
Among
HIV-infected
pregnant women
(PMTCT)h
Among people
with advanced
HIV infectioni
2008
2007
2.0
46.2
80.1
0
9
60
0
25
63
4.3
53.9
92.7
17.7
47.2
99.8
1.3
17.0
40.6
2.8
47.8
88.4
1
29
>95
43.2
…
…
…
…
…
17
…
…
…
5
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
24.3
9.4
12.8
…
18.6
3.4
23.7
70.6
57.5
68.4
42.8
82.7
45
54
28
94
1
23
0
26
>95
[37–58]
[42–71]
[18–47]
[64–>95]
[1–2]
[14–48]
…
…
…
…
18
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
21.7
8.9
…
…
39.6
65.8
67.5
70.1
37
44
74
…
[30–48]
…
…
…
…
…
10.8
62.3
45
[37–57]
97
[35–60]
[55–>95]
44
54
40
23
11
31
MDG 6
MDG 6
Smear-positive tuberculosis
case-detection ratej
(%)
Smear-positive
tuberculosis
treatmentsuccess ratek
(%)
2000
0
68
220
[41–48]
[51–60]
[33–49]
[19–27]
[9–13]
[21–64]
40
42
49
…
[37–44]
[36–53]
[44–55]
42
[40–47]
39
70
38
62
24
39
2008
14
77
340
[37–41]
[65–76]
[34–43]
[57–68]
[22–27]
[34–45]
38
36
68
85
[36–39]
40
47
77
68
79
59
70
[44–49]
[72–82]
[60–76]
[74–85]
[51–66]
[60–80]
[47–52]
[81–90]
50
66
74
87
[38–43]
62
[33–39]
[63–74]
2000
2007
0
78
100
14
82
100
71
76
50
75
81
90
79
82
88
67
88
92
[83–91]
79
64
71
66
86
89
74
61
[58–66]
69
86
[60–72]
[67–81]
Table 4
WORLD HEALTH STATISTICS
2010
Table 5
WORLD HEALTH STATISTICS
2010
Risk factors
This section presents indicators for certain risk factors that are associated with increased mortality and morbidity. The
preventable risks presented here are: unsafe water and lack of sanitation; use of solid fuels in households; low birth
weight; poor infant feeding practices; childhood under-nutrition; being overweight or obese; harmful consumption of
alcohol; use of tobacco; and unsafe sex.
Low birth weight is an important predictor of the health and survival of the newborn but in many settings
(especially where deliveries occur outside health-care facilities) many infants are not weighed at birth.
Child growth is the most widely used indicator of nutritional status. Included in the estimates presented in this
section are the three indicators: “stunted”; “underweight” (which is an MDG indicator); and “overweight”. Stunting
(i.e. low height-for-age) reflects the cumulative effects of under-nutrition and infections since birth – and even
before birth. Evidence of this condition indicates chronic malnutrition, which is likely to have the most serious and
long-lasting impact on health. Being underweight may reflect wasting (i.e. low weight-for-height) which indicates
acute weight loss and/or stunting. Thus, it is a composite indicator that is more difficult to interpret. Fewer data are
available on the levels of overweight children, although there is increasing evidence in many countries of a double
burden of malnutrition (with high levels of underweight or stunting) in some population groups coupled with high
levels of overweight in other groups.
The prevalence of current tobacco smoking is an important predictor of the future burden of tobacco-related
diseases. Harmful use of alcohol can cause alcohol dependence, hepatic cirrhosis, cancer and injuries.
The use of solid fuels in households is a proxy for indoor air pollution. Using solid fuels such as wood, charcoal
and crops is associated with increased mortality from pneumonia and other acute lower respiratory diseases among
children as well as increased mortality from chronic obstructive pulmonary disease and lung cancer (where coal is
used) among adults.
Unsafe water supplies and inadequate levels of sanitation and hygiene increase the transmission of diarrhoeal
diseases (including cholera); schistosomiasis; trachoma; and hepatitis. Although more people globally now are
using “improved” drinking-water sources20 and “improved” sanitation facilities21 compared to 2000, the rate of
improvement will need to accelerate to meet the relevant MDG target22 for 2015 (Figure 11 and Box 4).
Data on risk factors and health-related behaviours are generally drawn from household surveys. It is important to
note that the reliability of these estimates depends on the overall quality of the sampling frames and methods used;
on interviewer training, data-quality assurance procedures, and statistical analyses of the data; and on the ability
and willingness of respondents to provide accurate responses. Where data from household surveys are not available,
statistical techniques may be used to develop estimates in some settings.
20
21
22
Improved drinking-water sources include: piped water into dwelling, plot or yard; public tap/standpipe; borehole/tube well; protected dug well; protected
spring; rainwater collection; and bottled water (if a secondary available source is also improved).
Improved sanitation facilities are facilities that hygienically separate human excreta from human contact and include: flush/pour flush toilets or latrines
connected to a sewer, septic tank or pit; ventilated pit latrines; pit latrines with a slab or platform of any material which covers the pit entirely except for
the drop hole; and composting toilets/latrines.
MDG 7; Target 7.C: Halve, by 2015, the proportion of people without sustainable access to safe drinking-water and basic sanitation.
Use of an improved drinking-water source is a proxy for access to safe drinking-water. Similarly, the indicator used as a proxy for access to basic
sanitation records the proportion of the population using an improved sanitation facility. Definitions and a detailed description of drinking-water sources
and sanitation facilities can be found at the web site of the WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation at www.wssinfo.org
99
WORLD HEALTH STATISTICS
2010
Figure 11: Population using improved drinking-water sources and sanitation in low-income and lower middle-income
countries by rural and urban areas – 2008
Population using improved drinking-water sources
Low income
Population using improved sanitation
Lower middle income
Low income
Lower middle income
100
96
90
85
83
83
80
70
60
Percentage
56
54
50
50
40
30
28
20
10
0
Rural
Urban
Rural
Urban
Note: Solid horizontal lines indicate the median.
100
Rural
Urban
Rural
Urban
Box 4: Use of improved drinking-water sources and sanitation
In Figure 11, each circle represents a country (note that circles may overlap). From the data presented,
three major conclusions emerge:
The use of improved drinking-water and sanitation are heavily dependent upon country income and
place of residence – people living in rural areas in low-income countries are least likely to have access to
improved drinking-water and sanitation facilities.
The use of improved sanitation is generally far lower than the use of improved drinking-water in both
rural and urban areas – in low-income countries, median use of improved drinking-water in rural areas is
56% compared with only 28% for sanitation. In the corresponding urban areas, the figures are 85% and
50% respectively.
There are wide inequalities across countries in the use of both improved drinking-water and sanitation
facilities – for example in rural areas of lower middle-income countries, improved sanitation levels ranged
from 9% to 100% – representing an 11-fold difference.
101
Table 5
WORLD HEALTH STATISTICS
2010
5. Risk factors
Member State
MDG 7
Population using improved
drinking-water sourcesa
(%)
Urban
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Cook Islands
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Rural
Total
MDG 7
Population using improved sanitationa
(%)
Population using solid
fuelsb (%)
Urban
Urban Rural
Rural
Total
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
…
100
100
100
30
95
97
99
100
100
88
98
100
88
100
100
100
89
72
…
92
…
100
96
…
100
73
97
52
77
100
…
78
48
99
97
98
98
…
99
99
90
…
93
100
100
100
90
78
96
85
100
60
95
98
98
100
100
88
98
100
85
100
100
100
99
84
99
96
100
99
99
…
100
95
83
81
92
100
85
92
67
99
98
99
91
95
98
100
93
100
96
100
100
100
80
…
…
88
100
40
…
72
…
100
100
49
…
…
76
100
99
100
63
47
…
42
…
88
65
…
99
36
68
33
31
99
…
47
36
48
56
68
83
…
87
86
67
…
53
100
100
100
27
39
98
79
100
38
…
80
93
100
100
71
…
…
78
100
99
100
100
69
88
67
98
90
84
…
100
72
71
56
51
99
82
51
44
75
82
73
97
34
…
91
68
97
89
100
100
100
28
…
…
94
100
36
…
94
…
100
100
70
…
…
78
100
100
100
75
56
…
70
…
93
88
…
100
41
70
35
50
100
…
58
38
90
67
88
87
…
94
93
76
…
82
100
100
100
45
48
97
83
100
50
…
97
96
100
100
80
…
…
80
100
100
100
99
75
92
86
99
95
97
…
100
76
72
61
74
100
84
67
50
96
89
92
95
71
…
97
80
99
94
100
100
100
46
…
…
99
100
58
98
93
95
100
100
…
100
100
59
100
…
100
73
14
…
29
…
58
81
…
100
28
41
38
65
100
…
21
20
91
48
80
34
…
100
94
38
…
86
100
100
…
23
60
98
98
100
86
98
91
95
100
100
51
100
100
56
100
91
100
93
24
87
34
99
74
87
…
100
33
49
67
56
100
65
43
23
98
58
81
50
31
100
95
36
99
94
100
99
…
23
…
…
77
100
6
…
73
…
100
100
…
100
…
34
100
…
100
75
1
…
6
…
20
35
…
98
2
44
5
35
99
…
5
2
48
38
43
11
…
91
91
8
…
64
100
98
…
4
30
98
88
100
18
…
77
80
100
100
39
100
…
52
100
97
100
86
4
54
9
92
39
37
…
100
6
46
18
35
99
38
28
4
83
52
55
30
29
100
96
11
98
81
100
97
…
23
…
…
88
100
25
…
90
…
100
100
…
100
…
39
100
…
100
74
5
…
19
…
36
69
…
99
6
44
9
47
100
…
11
6
84
41
68
17
…
96
93
20
…
80
100
100
…
9
37
98
95
100
57
…
90
90
100
100
45
100
…
53
100
93
100
90
12
65
25
95
60
80
…
100
11
46
29
47
100
54
34
9
96
55
74
36
30
100
95
23
99
91
100
98
…
23
102
Total
2000–
2008
2007
36l
…
<5l
…
17l
…
<5l
<5
…
…
<5l
…
…
60
…
<5l
…
<5
88
<5t
6
20t
<5
<5
…
…
82t
>95
64
62t
…
12
>95l
94l
…
23
<5
44l
77t
…
…
64
7l
<5
…
<5l
…
89l
97l
…
<5l
…
92l
…
…
<5
…
…
23l
…
…
99
…
9l
…
21
97
72t
75
71t
53
40
…
…
99t
>95
96
98t
…
73
>95l
>95l
…
71
53
90l
>95t
…
…
>95
24l
13
…
<5l
…
>95l
Low
birthweight
newbornsc
(%)
87
…
<5
<5n
48
<5
5l
26
<5n
<5n
7
<5n
<5n
90
<5n
<5l
<5n
10
94
54t
31
49t
40
7
<5n
…
>95t
>95
91
81t
<5n
36
>95
93t
<5n
48
13
76t
84t
<5
…
79
12l
<5
<5n
<5l
…
>95
…
7
6
…
12
5
7
7
7
7
10
11
8
22
14
4
8
7
15
15
7
5
10
8
10
9
16
11
14
11
6
6
13
22
6
4
6
25
13
3
7
17
5
5
…
7
7
12
WORLD HEALTH STATISTICS
2010
Children
aged <5 yearse
(%)
Stunted
MDG1
Underweight
Adults aged
≥15 years who
are obesef
(%)
Overweight
Male
2000–
2009
…
39
7
…
11
…
…
33
…
10
12
…
…
43
…
9
1
10
43
10
60
18
…
40
…
…
7
45
66
21
17
60
23
2
58
…
47
21
19
…
19
4
…
26
…
…
65
36
1990–
1999
53.2
20.4
22.5
…
61.7
…
16.9
15.1
0.0
…
…
…
…
62.4
…
…
…
…
34.5
47.7
33.1
…
35.1
13.5
…
…
45.5
…
58.6
36.7
…
21.4
40.2
45.0
3.1
20.7
19.7
41.4
…
…
9.0
31.5
…
…
…
3.1
…
51.0
2000–
2009
59.3
27.0
15.9
…
50.8
…
8.2
18.2
…
…
26.8
…
…
43.2
…
4.5
…
22.2
44.7
37.5
27.1
11.8
29.1
7.1
…
8.8
44.5
63.1
39.5
36.4
…
…
44.6
44.8
2.0
21.8
16.2
46.9
31.2
…
…
40.1
…
4.6
…
2.6
43.1
45.8
1990–
1999
44.9
7.1
11.3
…
37.0
…
4.7
2.7
0.0
…
…
…
…
52.0
…
…
…
…
26.8
14.1
5.9
…
15.1
4.5
…
…
33.7
…
42.6
17.8
…
11.8
23.3
34.3
0.7
7.9
6.3
22.3
…
…
4.5
18.2
…
…
…
0.9
…
30.7
2000–
2009
32.9
6.6
3.7
…
27.5
…
2.3
4.2
…
…
8.4
…
…
41.3
…
1.3
…
4.9
20.2
12.0
4.3
1.6
10.7
2.2
…
1.6
37.4
38.9
28.8
16.6
…
…
21.8
33.9
0.5
6.8
5.1
25.0
11.8
…
…
16.7
…
3.9
…
2.1
20.6
28.2
1990–
1999
6.5
9.5
13.2
…
1.6
…
13.5
10.8
8.2
…
…
…
…
0.5
…
…
…
…
2.5
3.9
10.7
…
…
6.6
…
…
1.9
…
6.5
8.2
…
…
4.2
2.7
11.9
6.8
4.5
5.9
…
…
9.6
4.6
…
…
…
6.7
…
…
2000–
2009
4.6
25.2
12.9
…
5.3
…
9.9
11.7
…
…
13.9
…
…
1.1
…
9.7
…
13.7
11.4
5.2
8.5
25.6
10.4
7.3
…
13.6
7.7
1.4
2.0
9.6
…
…
10.8
4.4
9.5
9.2
4.2
21.5
8.5
…
…
9.0
…
…
…
4.4
…
6.8
Female
2000–2009
…
…
…
…
…
…
…
…
25.6p,r
13.0p,r,s
4.3q
…
…
…
…
…
11.9r,s
…
…
…
…
16.5p,r
…
8.9p,r
…
13.4p,r
…
…
…
…
22.9p,r
…
…
…
19.0p,r
2.4p,r
10.4p,r
…
…
57.4p,v
…
…
21.6p,r
8.0p,r
12.9r
23.9p,r
…
…
Prevalence of
Alcohol
smoking any
consumptobacco product
tion
among adults
among
aged ≥15 yearsh
adults
(%)
aged
≥15 yearsg
(litres
of pure
alcohol per
person per
year)
2005
…
…
…
…
…
…
19.4p,q
15.5q
24.0p,r
9.0p,r,s
17.9q
…
…
1.7q
…
…
13.4r,s
…
5.8q
…
17.4q
25.2p,r
…
16.0q
…
19.2p,r
2.4q
…
1.5q
2.4q
23.2p,r
…
…
1.5q
25.0p,r
3.4p,r
16.2p,r
…
7.5q
65.7p,v
…
…
22.7p,r
15.4p,r
11.8r
22.3p,r
…
2.4q
<0.1
4.9
0.6
12.8
4.7
9.5o
7.8
11.5
9.9
12.7
8.0
11.0o
3.7
0.0
7.6o
11.1
9.7
5.8o
1.1
0.2
2.8
9.6
4.5
6.2
1.7
10.9
4.7
6.2
2.0
4.7
7.8
2.5o
1.6
0.4
6.8
4.4
4.3
0.2
2.0
5.4o
4.2
4.5
12.5
4.5
9.3o
14.8
…
2.0
103
Male
Female
2006
…
42.6
28.8
35.6
…
…
34.7
61.0
22.0
46.7
…
…
21.8
47.0
18.0
64.4
33.3
24.8
18.0
…
34.3
48.7
…
19.4
…
49.0
20.8
…
49.1
11.9
24.0
16.1
…
15.3
42.0
59.5u
…
26.7
11.4
42.0
25.7
14.4
38.5
42.9
…
34.8
58.4
12.7
Prevalence of
current tobacco
use among adolescents aged
13–15 yearsi
(%)
Male
Female
2000–2009
…
3.8
0.2
27.7
…
…
25.7
2.7
19.0
41.3
0.6
…
2.9
3.7
3.0
21.6
24.4
3.0
2.0
…
29.1
35.1
…
12.0
…
38.0
10.3
…
6.6
2.0
18.0
4.5
…
2.3
33.8
3.7u
…
12.4
0.9
34.2
7.3
2.2
29.1
29.4
…
27.2
...
2.4
m
13.1
17.6
25.5m
…
…
15.1
26.1
10.9
…
…
…
12.9
28.0
9.1
34.5
31.6
…
21.8
14.6m
27.6
24.7m
16.3
27.0
17.2m
…
26.4
22.6m
20.7
4.3
14.0m
…
14.7
29.5m
20.9
29.8m
7.1m
27.0m
21.8
27.6
33.7
15.9
21.7m
23.3
10.9m
13.2
35.8
…
36.5m
MDG 6
Prevalence of
condom use
by adults aged
15–49 years at
higher-risk sexj
(%)
Male
Female
2000–2007
m
3.2
6.7
5.7m
…
…
12.5
29.7
4.3
…
…
…
10.2
11.7
5.1
23.2
22.2
…
15.3
5.8m
11.6
16.6m
10.5
20.5
15.7m
…
31.8
11.5m
16.8
2.3
8.2m
…
11.7
34.5m
13.9
39.8m
4.1m
27.8m
14.8
20.4
36.3
13.1
10.3m
25.6
9.5m
8.4
34.1
…
29.3m
…
…
…
…
…
…
…
58
…
…
26
…
…
…
…
…
…
…
17
…
…
…
…
…
…
…
43
…
41
38
…
69
…
20
…
…
…
…
30
…
…
38
…
…
…
…
…
16
…
…
…
…
…
…
…
…
…
…
<1
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
44
…
…
35
…
57
…
7
…
…
31
…
23
…
…
41
…
…
…
…
…
8
MDG 6
Population aged
15–24 years with
comprehensive
correct
knowledge of
HIV/AIDSk
(%)
Male
Female
2000–2007
…
…
…
…
…
…
…
15
…
…
5
…
…
…
…
…
…
…
35
…
18
…
…
…
…
…
23
…
45
34
…
36
27
19
…
…
…
…
35
…
…
28
…
…
…
…
…
21
…
6
13
…
…
…
…
23
…
…
6
…
…
16
…
34
…
…
16
…
15
48
…
…
…
…
15
30
50
27
…
36
17
7
…
…
…
18
26
…
…
18
…
30
…
…
…
15
Table 5
Infants
exclusively
breastfed
for the
first 6
months of
lifed
(%)
5. Risk factors
Member State
MDG 7
Population using improved
drinking-water sourcesa
(%)
Urban
Denmark
Djibouti
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Rural
Total
MDG 7
Population using improved sanitationa
(%)
Population using solid
fuelsb (%)
Urban
Urban Rural
Rural
Total
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
100
80
…
98
81
96
90
…
62
99
77
92
100
100
…
85
94
100
84
99
97
91
87
…
…
62
91
98
100
90
92
98
97
100
100
100
98
100
99
99
91
76
99
98
…
100
100
88
100
98
…
87
97
100
94
…
74
99
98
…
100
100
95
96
100
100
90
100
97
98
89
83
98
71
95
100
100
96
89
98
91
100
100
100
98
100
98
99
83
…
99
99
72
100
100
97
100
69
…
76
62
86
58
…
39
97
8
…
100
100
…
67
66
100
37
92
…
75
38
37
…
41
59
91
100
66
62
83
44
100
100
100
88
100
91
92
32
33
99
…
…
96
100
57
100
52
…
84
88
98
76
…
57
97
26
…
100
100
41
86
96
100
74
99
…
90
61
51
93
55
77
100
100
84
71
…
55
100
100
100
89
100
91
90
52
…
99
85
51
96
100
81
100
77
…
88
72
90
74
…
43
98
17
…
100
100
…
74
81
100
54
96
…
82
52
…
…
47
72
96
100
72
71
91
81
100
100
100
93
100
97
96
43
48
99
…
…
99
100
61
100
92
…
86
94
99
87
…
61
98
38
…
100
100
87
92
98
100
82
100
…
94
71
61
94
63
86
100
100
88
80
…
79
100
100
100
94
100
96
95
59
…
99
90
57
99
100
85
100
73
…
83
86
91
88
…
58
…
21
92
100
100
…
…
97
100
11
100
96
84
18
…
…
44
68
100
100
49
58
86
…
100
100
…
82
100
98
96
24
36
100
94
…
…
100
29
100
63
…
87
96
97
89
…
52
96
29
…
100
100
33
68
96
100
18
99
96
89
34
49
85
24
80
100
100
54
67
…
76
100
100
…
82
100
98
97
27
…
100
94
86
82
100
40
100
45
…
61
48
57
62
…
0
…
1
…
100
100
…
…
95
100
4
92
97
51
6
…
…
19
28
100
100
7
22
78
…
98
100
…
83
100
…
97
27
21
100
…
…
…
…
32
100
10
…
74
84
92
83
…
4
94
8
…
100
100
30
65
93
100
7
97
97
73
11
9
80
10
62
100
100
21
36
…
66
98
100
…
84
100
97
98
32
…
100
93
38
71
…
25
100
66
…
73
69
72
75
…
9
…
4
…
100
100
…
…
96
100
7
97
97
65
9
…
…
26
44
100
100
18
33
83
…
99
100
…
83
100
…
96
26
26
100
…
…
…
…
32
100
56
…
83
92
94
87
…
14
95
12
…
100
100
33
67
95
100
13
98
97
81
19
21
81
17
71
100
100
31
52
…
73
99
100
…
83
100
98
97
31
…
100
93
53
78
…
29
104
Total
2000–
2008
2007
…
10
…
<5
<5
<5
8
…
27
8l
74
…
…
…
15
91l
9l
…
74
…
…
29
>95t
>95l
<5t
86
24t
…
…
25
23
…
<5l
…
…
…
…
…
<5
5
32
…
…
12l
91
<5l
…
8
…
83
…
21
17
<5
51
…
89
35l
>95
…
…
…
76
>95l
78l
…
>95
…
…
88
>95t
>95l
14t
>95
89t
…
…
88
80
…
13l
…
…
…
…
…
<5
25
>95
…
…
56l
>95
26l
…
86
Low
birthweight
newbornsc
(%)
<5n
16
…
7
<5
<5
23
<5 n
63
16l
>95
…
<5n
<5n
27
95
43l
<5n
86
<5n
…
62
>95
>95
11t
93
57t
<5n
<5n
60
58
<5l,w
5
<5n
<5n
<5n
16
<5n
<5
12
75
…
<5n
37l
>95
10l
<5l,w
71
5
10
10
11
10
13
7
13
14
4
20
10
4
7
14
20
5
7
9
8
9
12
12
24
19
25
10
9
4
28
9
7
15
6
8
6
12
8
13
6
10
5
7
5
11
5
6
13
WORLD HEALTH STATISTICS
2010
Children
aged <5 yearse
(%)
Stunted
MDG1
Underweight
Adults aged
≥15 years who
are obesef
(%)
Overweight
Male
2000–
2009
…
1
…
8
40
53
31
…
52
…
49
40
15
…
5
41
11
22
63
…
…
51
48
28
21
41
30
…
…
46
32
44
25
…
…
…
15
…
22
17
32
…
…
32
26
29
…
36
1990–
1999
…
31.7
…
13.9
32.5
34.9
29.5
…
44.4
…
…
4.3
…
…
…
36.3
16.1
…
31.3
…
…
53.1
34.3
…
14.0
37.2
43.3
…
…
51.0
…
20.4
…
…
…
…
6.3
…
11.1
13.9
37.0
…
…
32.6
52.9
…
16.7
49.8
2000–
2009
…
32.6
…
10.1
29.0
30.7
24.6
35.0
43.7
…
50.7
…
…
…
26.3
27.6
14.7
1.3
28.6
…
…
54.3
40.0
28.1
18.2
29.7
29.9
…
…
47.9
40.1
…
27.5
…
…
…
3.7
…
12.0
17.5
35.8
…
…
18.1
47.6
…
16.5
45.2
1990–
1999
…
16.0
…
4.7
12.5
10.8
7.2
…
38.3
…
…
6.9
…
…
…
23.2
2.7
…
20.3
…
…
20.3
21.2
…
10.3
24.0
19.2
…
…
44.4
22.8
9.5
…
…
…
…
2.3
…
3.8
3.8
17.6
…
…
8.2
35.9
…
2.6
14.0
2000–
2009
…
29.6
…
3.4
6.2
6.8
6.1
10.6
34.5
…
34.6
…
…
…
8.8
15.8
2.3
1.1
14.3
…
…
17.7
20.8
17.2
10.8
18.9
8.6
…
…
43.5
19.6
…
7.1
…
…
…
2.2
…
3.6
4.9
16.5
…
…
2.7
31.6
…
4.2
16.6
1990–
1999
…
…
…
6.9
…
14.7
3.9
…
1.2
…
…
2.2
…
…
…
…
17.9
…
2.7
…
…
6.9
4.3
…
1.9
4.3
2.4
…
…
3.6
…
6.9
…
…
…
…
5.9
…
4.4
5.3
7.6
…
…
9.2
…
…
…
…
2000–
2009
…
13.4
…
8.3
5.1
20.5
5.8
8.3
1.6
…
5.1
…
…
…
5.6
2.7
21.0
3.5
5.9
…
…
5.6
…
…
6.8
3.9
5.8
…
…
1.9
11.2
…
15.0
…
…
…
…
…
4.7
14.8
5.8
…
…
10.7
1.3
…
16.7
6.8
Female
2000–2009
p,r,s
11.8
…
…
…
…
18.2v
…
…
2.3v
17.5p,v,s
…
15.1p,v
15.4v,s
16.1p,r
…
…
…
20.5p,r
…
26.0p,r,s
…
…
…
…
14.3p,r,s
…
…
12.1r
12.4r,s
1.3q
1.1r
9.2v
26.2p,r
16.0p,x
19.8p,v
7.4p,r,s
…
2.9r
21.1p,r,s
…
…
41.7p,v
36.4p,v
…
0.7r
12.3v,s
…
…
Prevalence of
Alcohol
smoking any
consumptobacco product
tion
among adults
among
aged ≥15 yearsh
adults
(%)
aged
≥15 yearsg
(litres
of pure
alcohol per
person per
year)
2005
p,r,s
11.0
…
…
…
14.6q
39.5v
25.6q
…
4.4v
18.3p,v,s
0.7q
32.7p,v
16.0v,s
17.6p,r
8.2q
…
…
21.1p,r
9.3q
18.2p,r,s
…
…
3.0q
…
26.9p,r,s
6.3q
18.8q
18.3r
12.3r,s
2.8q
3.6r
19.2v
38.2p,r
17.0p,x
25.4p,v
8.9p,r,s
…
3.3r
20.1q,s
…
6.3q
58.9p,v
47.9p,v
…
3.0q
18.1v,s
…
16.1q
11.3
1.7
8.1o
5.8
4.1
0.2
2.5
4.6
0.8
16.2o
0.6
2.1o
10.0
13.2
7.9
2.4
4.2
11.7
1.5
9.2
10.8o
2.4
0.2
3.2
7.2
5.2
3.2
12.5
7.1o
0.6
<0.1
<0.1
0.2
13.4
2.5
8.0
3.5
8.0
0.4
6.2
1.9
1.6
<0.1
2.8
5.8
10.2
1.7
1.9
105
Male
Female
2006
35.3
…
…
17.3
23.4
27.6
…
…
16.0
47.8
9.0
21.8
33.3
36.4
…
29.2
57.0
37.2
9.5
63.4
…
24.1
…
…
…
…
…
45.4
29.3
33.2
61.7
29.6
29.6
33.8
30.5
34.0
20.5
42.4
61.1
42.9
25.9
…
36.9
46.4
64.0
53.4
30.6
…
Prevalence of
current tobacco
use among adolescents aged
13–15 yearsi
(%)
Male
Female
2000–2009
29.8
…
…
13.3
5.8
1.4
…
…
1.1
25.3
0.8
3.6
23.0
26.9
…
2.6
5.6
25.7
0.7
39.4
…
4.1
…
…
…
…
3.4
35.3
23.8
3.8
5.2
5.4
3.4
28.2
18.5
19.5
9.2
12.6
9.6
9.1
2.0
…
4.3
2.0
15.3
24.1
7.1
…
…
22.7
30.4
18.4
31.2m
16.0
18.2
25.1
7.8
33.8
9.9m
11.6
…
…
…
34.0m
15.2
…
11.6
17.1
24.5
19.7
30.8
11.5m
17.6
21.7m
22.8m
27.9
…
19.0
41.0
32.9
17.7m
…
…
…
24.0
…
33.7
15.2
14.9
42.6
25.0
10.3
13.2m
41.8
65.8
26.4
…
14.3
19.8
11.9
26.1m
7.6
11.0
17.3
4.6
27.8
4.9m
10.2
…
…
…
36.6m
2.8
…
10.9
14.4
16.7
13.3
20.0
10.3m
12.2
23.9m
18.2m
26.7
…
8.3
6.2
19.5
15.2m
…
…
…
15.3
…
26.1
8.1
14.5
30.7
11.3
4.4
4.9m
33.9
54.1
21.7
MDG 6
Prevalence of
condom use
by adults aged
15–49 years at
higher-risk sexj
(%)
Male
Female
2000–2007
…
…
…
45
…
…
…
…
…
…
9
…
…
…
40
…
…
…
38
…
…
…
24
…
53
34
…
…
…
23
…
…
…
…
…
…
…
…
…
…
33
…
…
…
…
…
…
41
…
…
…
35
…
…
…
…
…
…
…
…
…
…
26
…
…
…
35
…
…
…
20
…
56
21
27
…
…
12
…
…
…
…
…
…
…
…
…
…
12
…
…
…
…
…
…
19
MDG 6
Population aged
15–24 years with
comprehensive
correct
knowledge of
HIV/AIDSk
(%)
Male
Female
2000–2007
…
…
…
34
…
…
…
…
…
…
33
…
…
…
…
…
…
…
33
…
…
…
23
…
47
40
…
…
…
36
…
…
…
…
…
…
…
…
…
…
47
…
…
…
…
…
…
19
…
18
…
41
…
…
…
4
37
…
20
…
…
…
…
39
…
…
25
…
…
…
17
18
53
34
30
…
…
20
…
…
3
…
…
…
60
…
…
22
34
…
…
20
…
…
…
27
Table 5
Infants
exclusively
breastfed
for the
first 6
months of
lifed
(%)
5. Risk factors
Member State
MDG 7
Population using improved
drinking-water sourcesa
(%)
Urban
Liberia
Libyan Arab Jamahiriya
Lithuania
Luxembourg
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Republic of Korea
Republic of Moldova
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Rural
Total
MDG 7
Population using improved sanitationa
(%)
Population using solid
fuelsb (%)
Urban
Urban Rural
Rural
Total
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
86
54
…
100
78
90
94
100
54
100
94
36
100
94
93
100
81
…
94
73
87
99
…
96
100
100
92
57
79
100
100
84
96
73
99
89
81
88
93
100
98
100
97
…
…
98
96
99
98
79
…
…
100
71
95
100
99
81
100
92
52
100
96
95
100
97
100
98
77
75
99
90
93
100
100
98
96
75
100
100
92
95
…
97
87
99
90
93
100
99
100
100
96
…
98
77
99
98
34
55
…
100
16
33
82
87
22
98
97
26
99
64
87
…
27
…
55
26
47
51
…
74
100
100
54
31
30
100
100
72
81
98
66
32
25
45
76
100
94
100
…
…
…
81
66
99
98
51
…
…
100
29
77
99
86
44
100
99
47
99
87
…
…
49
96
60
29
69
88
…
87
100
100
68
39
42
100
100
77
87
…
83
33
66
61
87
100
100
100
88
85
…
89
62
99
98
58
54
…
100
31
40
88
90
29
100
95
30
99
85
89
100
58
…
74
36
57
64
…
76
100
100
74
35
47
100
100
80
86
81
84
41
52
75
84
100
96
100
…
…
…
93
68
99
98
68
…
…
100
41
80
100
91
56
100
94
49
99
94
…
100
76
98
81
47
71
92
90
88
100
100
85
48
58
100
100
88
90
…
93
41
86
82
91
100
99
100
98
90
…
96
65
99
98
21
97
…
100
14
50
88
100
36
100
77
29
93
80
55
100
…
…
81
36
…
66
…
41
100
…
59
19
39
100
100
97
73
76
73
78
61
71
70
96
97
100
100
…
88
93
35
96
…
25
97
…
100
15
51
96
100
45
100
83
50
93
90
…
100
64
96
83
38
86
60
50
51
100
…
63
34
36
100
100
97
72
96
75
71
90
81
80
96
100
100
100
85
88
93
50
96
…
3
96
…
100
6
41
81
58
23
100
41
8
90
30
20
…
…
…
27
4
…
9
…
8
100
88
26
2
36
100
100
61
8
54
40
42
15
16
46
…
87
100
100
…
52
70
22
96
…
4
96
…
100
10
57
95
96
32
100
53
9
90
68
…
…
32
86
52
4
79
17
…
27
100
…
37
4
28
100
100
…
29
…
51
41
40
36
69
80
100
100
100
74
54
70
55
96
…
11
97
…
100
8
42
84
69
26
100
64
16
91
66
29
100
…
…
53
11
…
25
…
11
100
…
43
5
37
100
100
85
28
69
58
47
37
54
58
…
92
100
100
…
71
87
23
96
…
17
97
…
100
11
56
96
98
36
100
72
26
91
85
…
100
50
92
69
17
81
33
50
31
100
…
52
9
32
100
100
…
45
…
69
45
70
68
76
90
100
100
100
79
72
87
54
96
…
106
Total
2000–
2008
2007
>95l
…
…
…
>95
>95
<5l
…
>95
…
9l
30
<5t
<5l
…
…
61l
18l
<5t
89t
88l
19
…
36
…
…
31
>95
40
…
…
…
31
…
<5
…
33
11t
27l
…
…
…
…
<5l
<5l
<5
>95
…
…
>95l
…
…
…
>95
>95
<5l
…
>95
…
94l
82
<5t
45l
…
…
>95l
56l
17t
>95t
>95l
88
…
91
…
…
92
>95
92
…
…
…
91
…
46
…
81
80t
70l
…
…
…
…
24l
42l
20
>95
…
…
Low
birthweight
newbornsc
(%)
>95l
<5l,w
<5n
<5n
>95
>95
<5l
10
>95
<5n
31
60
<5t
15
44
<5n
77l
32l
7t
>95t
>95t
57
5
82
<5n
<5n
56
>95
79
5
<5n
<5n
66
<5l,w
16
…
52
36
47t
<5n
<5n
<5l,w
<5l,w
15l
23l
7
>95
<5n
<5
14
7
4
8
17
13
9
22
19
6
18
34
14
8
18
…
6
4
15
15
15
16
27
21
…
6
8
27
14
0
5
9
32
9
10
10
9
8
20
6
8
10
4
6
8
6
6
11
11
WORLD HEALTH STATISTICS
2010
Children
aged <5 yearse
(%)
Stunted
MDG1
Underweight
Adults aged
≥15 years who
are obesef
(%)
29
…
…
…
51
57
…
10
38
…
27
19
…
…
…
…
57
19
31
30
11
24
67
53
…
…
31
10
13
…
…
…
37
…
…
…
22
73
34
…
…
…
…
46
16
…
88
…
…
1990–
1999
45.3
20.7
…
…
55.5
55.8
20.7
46.7
36.2
…
…
49.8
…
21.7
…
…
30.1
9.7
29.9
45.3
47.6
35.7
…
61.1
…
…
28.3
47.0
39.7
…
…
12.9
42.7
…
21.5
…
18.3
31.6
38.3
…
…
11.6
…
…
15.3
…
56.8
…
…
2000–
2009
39.4
21.0
…
…
52.8
53.2
…
31.9
38.5
…
…
24.2
…
15.5
…
…
27.5
7.9
23.1
47.0
40.6
29.6
…
49.3
…
…
18.8
54.8
41.0
…
…
…
41.5
…
19.1
43.9
…
29.8
33.8
…
…
…
…
11.3
12.8
…
51.7
…
…
1990–
1999
22.8
4.3
…
…
35.5
24.4
16.7
41.5
38.2
…
…
20.3
…
6.0
…
…
10.8
0.6
8.1
28.1
25.0
21.5
…
38.2
…
…
10.0
45.0
27.3
…
…
11.3
35.3
…
6.3
…
2.8
5.7
28.3
…
…
4.8
…
…
3.4
…
24.3
…
…
2000–
2009
20.4
5.6
…
…
36.8
15.5
…
25.7
27.9
…
…
16.7
…
3.4
…
…
5.3
2.2
9.9
21.2
29.6
17.5
…
38.8
…
…
4.3
39.9
26.7
…
…
…
31.3
…
3.9
18.1
…
5.4
20.7
…
…
…
…
3.2
3.5
…
18.0
…
…
(litres
of pure
alcohol per
person per
year)
Overweight
Male
2000–
2009
Prevalence of
Alcohol
smoking any
consumptobacco product
tion
among adults
among
aged ≥15 yearsh
adults
(%)
aged
≥15 yearsg
1990–
1999
4.6
…
…
…
2.9
9.9
5.5
6.9
2.1
…
…
…
…
7.6
…
…
7.0
22.0
10.7
6.0
11.6
4.5
…
0.4
…
…
4.0
1.2
…
…
…
1.6
1.6
…
6.2
…
6.3
9.9
1.9
…
…
10.4
…
…
10.1
…
4.0
…
…
2000–
2009
4.2
22.4
…
…
6.2
11.3
…
3.9
4.7
…
…
…
…
7.6
…
…
14.2
15.6
13.3
6.3
2.4
4.6
…
0.6
…
…
5.2
3.5
10.5
…
…
…
4.8
…
…
3.4
…
9.1
2.4
…
…
…
…
9.1
8.3
…
6.7
…
…
Female
2000–2009
…
…
20.6p,v,s
…
…
…
13.9p,v
…
…
22.2p,r,s
…
…
5.6p,r
24.2p,r
…
…
7.2v
…
8.2p,r
…
…
…
50.3q
…
8.6p,r,s
24.7r
33.1p,r
…
…
…
11.0p,r,s
16.7p,r
…
…
14.4p,r
…
…
11.5p,r
3.0p,r
15.7p,r
15.0p,v
…
2.8p,r,s
…
7.7r
11.8p,q,s
…
…
…
2005
q
5.7
…
19.2p,v,s
…
1.0q
2.4q
18.8p,v
…
5.2q
19.3p,r,s
…
16.7q
13.7p,r
34.5p,r
…
…
12.5v
…
11.0q
3.9q
…
11.7q
56.0q
0.9q
10.8p,r,s
26.0r
35.2p,r
3.2q
6.0q
…
8.0p,r,s
23.8p,r
…
…
21.8p,r
…
…
12.5q
5.7p,r
19.9p,r
13.4p,v
…
3.5p,r,s
18.2q
9.5r
20.1p,q,s
1.1q
…
…
3.5
0.0
12.5
11.7
0.8
1.1
0.5
…
0.5
5.3o
…
<0.1
2.6
5.1
3.3
…
1.4
…
0.5
1.5
0.1
6.5
2.3
0.2
9.5
9.3
3.7
<0.1
9.7
7.7
6.4
0.7
<0.1
11.3
5.9
1.5
6.4
3.1
4.2
9.5
12.2
0.9
11.8
…
10.5
11.0
7.0
10.3o
12.7o
107
Male
Female
2006
13.1
…
49.9
38.8
…
21.4
52.6
44.5
18.3
32.1
35.7
33.7
34.2
36.4
29.8
…
45.6
…
30.4
20.9
42.6
24.1
47.5
35.8
33.3
22.2
…
…
11.9
…
30.5
20.5
35.4
37.7
…
…
32.9
…
53.2
29.6
33.7
…
53.3
44.7
45.5
70.1
…
…
28.4
Prevalence of
current tobacco
use among adolescents aged
13–15 yearsi
(%)
Male
Female
…
…
21.7
30.4
…
5.4
2.6
11.8
2.5
20.7
6.1
5.1
0.9
12.4
18.0
…
6.5
…
0.2
3.1
14.8
9.5
54.0
27.9
27.5
20.0
…
…
1.0
…
29.7
1.3
6.5
9.3
…
…
15.2
…
12.2
37.7
15.5
…
5.7
5.4
24.1
27.7
…
…
12.1
14.2
15.5
38.4
…
33.2
16.7
35.1
8.5
23.1
…
…
27.5
20.3
27.8m
51.9
…
25.7
6.6
12.5
12.7m
22.5
28.6
…
13.0
…
18.7
30.4m
15.2
19.2m
…
…
17.8
12.4m
58.3
10.5
55.4
20.8
19.9m
28.2
26.0m
…
25.2
14.9
20.8
18.4
30.1
13.3
18.2
22.4
Male
Female
2000–2007
2000–2009
m
MDG 6
Prevalence of
condom use
by adults aged
15–49 years at
higher-risk sexj
(%)
m
11.8
6.1
28.8
…
14.3
11.4
9.4
3.4
8.8
…
…
17.7
7.7
28.5m
39.8
…
16.0
5.9
8.2
7.4m
8.2
22.9
…
5.3
…
21.5
20.5m
8.0
11.1m
…
…
11.3
7.5m
42.4
6.5
40.3
12.9
18.2m
17.3
31.7m
…
13.1
10.6
7.1
10.4
24.4
9.5
13.6
14.5
…
…
…
…
9
20
…
…
12
…
20
…
…
…
…
…
…
…
…
19
…
74
…
30
…
…
…
7
22
…
…
…
…
…
…
…
…
…
22
…
…
…
…
45
…
…
8
…
…
…
…
…
…
2
16
…
…
8
…
11
…
…
…
…
…
…
…
…
14
…
66
…
…
…
…
19
8
13
…
…
…
…
…
…
…
…
31
…
…
…
…
…
22
…
…
14
…
…
MDG 6
Population aged
15–24 years with
comprehensive
correct
knowledge of
HIV/AIDSk
(%)
Male
Female
2000–2007
…
…
…
…
16
36
…
…
22
…
39
…
…
…
…
…
…
…
…
33
…
62
…
44
…
…
…
16
21
…
…
…
…
…
…
…
…
…
18
…
…
…
…
…
…
…
54
…
…
…
…
…
…
19
24
…
…
18
…
27
…
…
…
…
…
35
30
12
20
…
65
…
28
…
…
22
13
18
…
…
…
…
…
…
…
…
19
12
…
…
…
…
…
…
…
51
…
…
Table 5
Infants
exclusively
breastfed
for the
first 6
months of
lifed
(%)
5. Risk factors
Member State
MDG 7
Population using improved
drinking-water sourcesa
(%)
Urban
Rural
Total
MDG 7
Population using improved sanitationa
(%)
Population using solid
fuelsb (%)
Urban
Urban Rural
Rural
Total
Low
birthweight
newbornsc
(%)
Total
2000–
2008
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Thailand
The former Yugoslav Republic of
Macedonia
…
99
…
…
97
88
…
…
…
100
…
100
…
…
98
100
91
85
99
…
100
100
96
…
97
…
…
…
…
89
97
92
99
100
86
100
100
100
…
67
99
100
98
64
97
92
100
100
94
94
99
100
…
89
…
…
63
43
…
…
…
…
…
99
…
…
66
100
62
58
…
…
100
100
75
…
89
…
…
…
…
88
…
52
98
…
26
…
100
99
…
9
78
100
88
52
81
61
100
100
84
61
98
99
…
91
…
…
89
61
…
…
…
100
…
100
…
…
83
100
67
65
…
…
100
100
85
…
91
…
…
…
…
89
…
69
99
…
49
100
100
99
…
30
91
100
90
57
93
69
100
100
89
70
98
100
…
100
…
…
100
62
…
…
…
99
100
100
98
…
80
100
85
63
90
…
100
100
94
93
93
…
…
100
…
30
100
69
96
97
24
100
100
100
98
52
84
100
88
55
90
61
100
100
96
95
95
92
96
98
…
…
…
22
…
…
…
…
100
100
…
…
58
100
67
23
…
…
100
100
72
…
74
…
96
100
…
19
…
38
88
…
6
…
99
100
…
6
65
100
92
18
66
53
100
100
95
94
96
82
…
98
…
…
…
38
…
…
…
99
100
100
…
…
69
100
70
34
…
…
100
100
83
…
80
…
…
100
…
26
…
51
92
…
13
100
100
100
…
23
77
100
91
34
84
55
100
100
96
94
96
89
…
…
…
…
…
17
14l
…
>95t
…
<5l
…
60t
>95t
7
<5l
32t
…
…
14
…
…
<5l
<5
11l
25l
…
…
…
…
…
86
61l
…
>95t
…
<5l
…
>95t
>95t
41
<5l
81t
…
…
77
…
…
<5l
35
47l
55l
…
44
<5n
…
<5n
51
34
<5l
>95
<5n
<5l
8l
92
>95t
17
<5l
72
90
…
58
<5n
<5n
<5l
21
25
37l
8
4
…
8
11
19
5
…
24
8
7
…
13
…
15
6
18
31
13
9
4
6
9
10
9
6
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzania
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
…
79
…
92
95
94
97
92
78
99
100
100
94
100
98
97
91
93
88
…
89
99
86
87
100
98
99
100
97
98
91
98
100
100
80
100
100
98
96
…
99
72
87
99
…
36
…
88
62
73
…
89
39
…
100
100
46
94
79
85
49
71
51
…
23
70
63
41
100
93
84
96
…
97
64
97
100
100
45
94
100
81
79
…
92
57
46
72
…
49
…
88
81
85
…
90
43
…
100
100
55
99
96
90
57
90
58
…
49
78
69
60
100
94
94
99
…
97
67
98
100
100
54
99
100
87
82
…
94
62
60
82
…
25
98
93
95
96
99
86
35
97
98
100
27
100
95
95
…
89
61
64
62
58
76
24
98
92
96
97
99
88
38
97
98
100
32
100
100
100
66
…
94
94
59
56
…
8
96
93
44
66
97
76
40
91
95
100
23
99
83
76
…
45
29
6
36
37
40
3
96
92
64
75
97
81
49
90
95
100
21
99
99
100
48
…
67
33
43
37
…
13
96
93
74
84
98
80
39
95
97
100
24
100
94
84
…
82
35
18
46
43
50
12
96
92
85
90
98
84
48
95
97
100
24
100
100
100
51
…
75
52
49
44
…
>95l
9l
…
<5t
…
<5l
…
95
<5t
<5l
…
85
…
<5t
<5t
53l
…
20
<5
62
19
…
>95l
50l
…
<5t
…
<5l
…
>95
15t
<5l
…
>95
…
23
26t
>95l
…
72
53
>95
>95
…
>95l
45
<5l
<5t
…
<5l,w
25
>95
7t
<5l
<5n
94
<5n
<5
16t
85
…
61
36
86
71
12
12
3
19
5
16
4
5
14
4
15
8
10
8
9
5
10
9
7
32
11
11
108
2007
WORLD HEALTH STATISTICS
2010
Children
aged <5 yearse
(%)
Stunted
MDG1
Underweight
Adults aged
≥15 years who
are obesef
(%)
Overweight
Male
2000–
2009
1990–
1999
2000–
2009
1990–
1999
2000–
2009
1990–
1999
2000–
2009
Female
2000–2009
Prevalence of
Alcohol
smoking any
consumptobacco product
tion
among adults
among
aged ≥15 yearsh
adults
(%)
aged
≥15 yearsg
(litres
of pure
alcohol per
person per
year)
2005
Male
Female
2006
o
Prevalence of
current tobacco
use among adolescents aged
13–15 yearsi
(%)
Male
Female
2000–2009
MDG 6
Prevalence of
condom use
by adults aged
15–49 years at
higher-risk sexj
(%)
Male
Female
2000–2007
MDG 6
Population aged
15–24 years with
comprehensive
correct
knowledge of
HIV/AIDSk
(%)
Male
Female
2000–2007
…
…
…
51
…
34
15
…
11
…
…
…
74
9
7
…
76
34
9
32
…
14
29
25
5
16
…
6.4
…
…
21.4
33.7
9.9
…
…
…
…
…
…
…
30.9
…
26.1
40.3
14.5
…
…
…
26.5
41.5
18.1
8.0
…
…
…
29.3
9.3
20.1
8.1
…
37.4
4.4
…
…
32.8
42.1
…
…
17.3
37.9
…
29.5
…
…
28.6
33.1
15.7
11.5
…
1.7
…
…
13.5
21.9
0.5
…
…
…
…
…
…
…
10.1
…
29.3
34.9
11.4
…
…
…
11.3
…
15.4
1.9
…
…
…
13.1
5.3
14.5
1.8
…
21.3
3.3
…
…
11.5
32.8
…
…
21.1
31.7
…
6.1
…
…
10.0
14.9
7.0
1.8
…
6.2
…
…
1.2
4.0
17.8
…
…
…
…
…
…
…
9.6
…
…
2.3
2.9
…
…
…
…
…
4.7
9.6
…
…
…
…
6.1
2.4
19.3
…
10.1
2.6
…
…
2.5
4.7
…
…
1.6
5.3
…
11.4
…
…
18.7
6.7
8.0
16.2
…
…
44.9p,v 66.3p,v
…
…
…
…
28.3v
43.8v
…
7.2q
…
…
15.0p,v 35.2p,v
…
9.3q
p,r,s
6.7
4.7p,r,s
v,s
13.5
15.0v,s
p,v,s
16.5
13.8p,v,s
q
5.2
14.5q
…
…
8.8r
27.4r
15.7p,r,s 15.4p,r,s
…
7.2q
…
…
…
…
3.9q
23.1q
p,r,s
13.0
12.0p,r,s
r,s
8.7
7.8r,s
p,v
15.5
27.7p,v
…
7.1p,q
p,v
3.3
10.2p,v
…
…
5.9
3.6
…
5.4
0.5
0.3
10.1
11.9o
6.5
2.1o
11.0
10.5
1.1
0.0
7.0
10.0
0.3
1.4
5.4
5.0
6.6
10.1
1.1
0.4
6.5
5.8
18.8
58.5
…
22.2
22.9
18.5
39.6
32.3
…
36.3
41.3
31.6
…
…
29.5
37.0
32.4
27.8
17.0
23.0
17.3
32.5
42.9
…
43.1
…
6.0
22.9
…
9.7
3.7
1.4
26.7
6.4
…
5.9
20.3
21.3
…
…
9.4
27.2
2.1
3.0
2.8
2.7
23.3
23.1
…
…
2.0
…
22.0
25.8
…
…
20.2
20.4
10.8
27.1
20.3m
10.5
28.5
16.9
43.9
15.5m
29.3
…
12.4
9.5
20.7
15.8
…
…
38.6
6.8
24.0
11.9
16.6
20.4
…
…
10.7
9.6
9.6
25.3
24.1m
7.5
24.5
24.2
37.0
12.3m
20.1
…
5.8
4.3
16.6
8.6
…
…
19.5
2.8
7.5
11.7
…
…
…
…
…
31
…
…
…
…
…
…
…
…
…
…
…
…
…
56
…
…
…
…
…
…
…
…
…
…
…
21
…
…
…
…
…
…
…
…
…
…
…
…
…
57
…
…
…
…
…
…
…
…
…
…
…
26
…
…
…
…
…
…
…
…
…
…
…
…
…
52
…
…
…
…
…
…
…
…
…
44
…
21
42
…
17
…
…
…
…
4
…
…
…
…
41
52
…
…
7
3
46
27
31
48
…
13
6
42
11
35
60
18
…
<1
41
12
57
26
40
…
17
12
61
22
…
29.8
…
…
30.9
19.1
…
…
45.0
…
…
…
48.3
3.2
13.4
39.0
25.7
18.3
43.7
59.3
57.9
33.7
55.7
26.9
…
5.3
9.0
15.6
…
10.0
38.7
22.9
…
…
44.4
3.9
13.9
19.6
…
15.6
30.5
57.7
45.8
35.8
…
23.2
…
…
8.1
7.0
…
…
21.5
…
…
…
25.3
0.9
3.9
15.3
10.6
4.1
31.1
47.6
19.6
11.5
40.6
20.5
…
4.4
3.3
3.5
…
1.6
16.4
4.1
…
…
16.7
1.3
6.0
4.4
…
3.7
20.2
43.1
14.9
14.0
…
2.6
…
…
25.4
4.0
…
…
5.1
…
…
…
3.3
5.4
9.6
18.5
…
5.2
1.8
3.7
12.3
10.6
5.7
…
…
4.9
8.8
9.1
…
6.3
4.9
26.5
…
…
4.9
8.0
9.4
12.8
…
6.1
3.0
5.0
8.4
9.1
…
…
…
…
56.1v
74.9v
…
…
5.8p,r,s 15.3p,r,s
15.6p,r
23.9q
…
10.3q
q
46.6
67.6q
…
4.1q
…
11.3q
p,r
17.1
31.4p,r
p,r
24.0
24.0p,r
…
4.4q
p,r
31.1
33.2p,r
p,r
18.0
22.0p,r
v
5.4
7.1q,s
v
14.4
25.2v
…
…
0.3p,r
0.6p,r
…
…
…
5.4q
3.9p,r
7.2q
0.3
1.0
4.0o
6.0
1.1
1.3
2.3
1.3
11.9
8.5
0.3
11.5
5.2
8.5
6.6
1.8
0.8o
6.9
1.2
0.0
2.3
3.8
…
…
62.3
…
57.6
51.3
…
53.6
18.9
64.5
25.0
26.1
23.8
25.4
38.7
23.4
49.6
31.6
44.0
29.1
20.9
32.9
…
…
15.0
…
7.3
19.5
…
20.9
4.2
24.1
2.6
23.5
4.0
19.3
28.5
3.4
7.2
26.5
2.4
5.8
4.6
4.2
60.2
17.7
…
20.8
27.8
14.4
…
41.6
17.3
29.8
25.2
…
12.4m
18.2
21.4
2.7m
34.1
13.0m
6.5
14.5
25.7m
14.9m
53.4
7.9
…
17.8
8.8
7.4
…
32.7
15.3
22.2
13.2
…
8.8m
15.9
24.5
1.6m
19.6
12.2m
1.5
10.5
25.6m
8.2m
…
…
…
…
…
…
…
…
42
46
…
…
29
…
…
…
…
…
58
…
28
36
…
…
…
…
…
…
…
…
41
48
…
…
21
…
…
…
…
…
…
…
33
41
…
…
…
…
…
…
…
…
38
43
…
…
40
…
…
…
…
…
50
…
37
46
…
28
…
28
…
…
…
…
32
42
…
…
45
…
…
31
…
…
42
…
34
44
109
Table 5
Infants
exclusively
breastfed
for the
first 6
months of
lifed
(%)
5. Risk factors
Member State
MDG 7
Population using improved
drinking-water sourcesa
(%)
Urban
Rural
Total
MDG 7
Population using improved sanitationa
(%)
Population using solid
fuelsb (%)
Urban
Urban Rural
Rural
Total
Low
birthweight
newbornsc
(%)
Total
2000–
2008
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
1990
2008
2007
30
97
100
52
98
100
8
74
100
9
87
100
17
88
100
30
94
100
11
91
100
15
92
100
0
60
100
3
75
100
4
74
100
9
84
100
<5
18
>95
<5
80
99
<5
15
>95
0
9
34
84
97
91
99
95
97
84
98
93
99
93
98
36
74
67
91
76
58
48
85
83
94
76
83
50
91
73
96
85
71
61
96
86
98
83
90
47
89
54
97
85
64
47
92
60
97
83
69
23
60
16
85
32
42
26
70
31
87
45
56
30
81
26
94
53
49
34
87
40
94
61
62
51
<5
28
…
14
23
90
53
87
24
58
71
78
9
62
<5
34
43
14
8
24
6
21
6
86
93
96
100
86
95
98
100
48
62
74
97
60
81
87
98
57
71
89
99
67
86
95
100
46
58
87
100
52
62
90
100
22
28
56
99
37
40
68
99
27
37
77
100
42
49
85
100
62
23
<5
…
90
76
34
…
83
51
10
<5
15
17
7
8
95
96
63
78
77
87
77
76
35
45
52
60
21
76
42
15
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
WHO REGION
African Region
Region of the Americas
South-East Asia Region
European Region
Eastern Mediterranean Region
Western Pacific Region
INCOME GROUP
Low income
Lower middle income
Upper middle income
High income
GLOBAL
110
WORLD HEALTH STATISTICS
2010
Children
aged <5 yearse
(%)
MDG1
Underweight
Stunted
Adults aged
≥15 years who
are obesef
(%)
Overweight
Male
Female
Prevalence of
Alcohol
smoking any
consumptobacco product
tion
among adults
among
aged ≥15 yearsh
adults
(%)
aged
≥15 yearsg
(litres
of pure
alcohol per
person per
year)
Male
Female
Prevalence of
current tobacco
use among adolescents aged
13–15 yearsi
(%)
Male
Female
MDG 6
Prevalence of
condom use
by adults aged
15–49 years at
higher-risk sexj
(%)
Male
Female
MDG 6
Population aged
15–24 years with
comprehensive
correct
knowledge of
HIV/AIDSk
(%)
Male
Female
1990–
1999
2000–
2009
1990–
1999
2000–
2009
1990–
1999
2000–
2009
<1
29
88
0.0
31.7
62.4
1.3
29.1
63.1
0.0
14.1
52.0
0.5
11.8
43.5
0.4
5.7
25.4
0.6
6.8
26.5
0.3
14.4
57.4
0.6
15.0
74.9
0.0
4.5
16.2
9.0
33.3
70.1
0.2
9.3
54.0
2.7
20.8
65.8
1.5
13.1
54.1
7
31
74
<1
22
66
5
34
62
3
26
65
31
31
43
23
36
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
4.3
6.7
0.7
9.5
0.3
4.7
17.7
26.8
39.4
44.6
32.0
56.5
2.8
17.0
4.6
24.3
4.4
4.8
20.1
20.8
20.7
21.5
17.8
9.5
13.1
19.5
7.7
16.6
10.3
5.4
…
…
…
…
…
…
…
…
…
…
…
…
30
…
36
…
…
…
23
…
21
…
…
…
38
37
34
12
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
1.6
2.8
6.6
9.4
30.9
47.7
41.1
33.1
4.8
4.4
19.1
19.8
15.2
16.7
23.3
…
9.8
8.0
19.4
15.5
…
…
…
…
…
…
…
…
0
33
…
…
0
24
…
…
36
…
…
…
…
…
…
…
…
4.4
41.1
8.9
17.5
10.4
…
…
…
…
2000–
2009
2000–2009
2005
111
2006
2000–2009
2000–2007
2000–2007
Table 5
Infants
exclusively
breastfed
for the
first 6
months of
lifed
(%)
Table 6
WORLD HEALTH STATISTICS
2010
Health workforce, infrastructure
and essential medicines
This section presents data on the resources available to the health system – this includes physicians; nurses and
midwives; other health-care workers; and hospital beds. The table also includes the MDG target23 indicator on access
to essential medicines. Such data are essential in enabling governments to determine how best to meet the healthrelated needs of their populations.
Estimates of the numbers and density of the health workforce (Figure 12 and Box 5) refer to the active health
workforce – i.e. those currently participating in the health labour market. The data are derived from multiple sources,
including national population censuses; labour-force and employment surveys; health-facility assessments; and routine
administrative information systems.24
This diversity of sources means there is considerable variability in the coverage and quality of the data. Figures
may be under-estimated or over-estimated where it is not possible to distinguish whether they include health workers
in the private sector, or to identify the double counting of health workers holding two or more jobs at different
locations. In addition health service providers may be working outside the health-care sector, working in unpaid and/
or unregulated conditions, or not currently engaged in the national health labour market.
The density of hospital beds can be used to indicate the availability of inpatient services. Statistics on hospitalbed density are generally drawn from routine administrative records but in some settings only public-sector beds are
included.
Data on the availability of medicines are poor in most developing countries. However, data on availability and
consumer prices for selected generic medicines have been derived from surveys of medicine prices and availability
conducted using WHO/Health Action International (HAI) standard methods between 2001 and 2008. In individual
surveys, availability is reported as the percentage of medicine outlets in which a medicine was found on the day of
data collection. As baskets of medicines differ by country, results are not strictly comparable across countries. The
consumer price ratio is an expression of how much greater or less the local medicine price is than the international
reference price.
23
24
MDG 8; Target 8.E: In cooperation with pharmaceutical companies, provide access to affordable essential drugs in developing countries.
These include registries on public expenditure, staffing and payroll, as well as records of professional training, registration and licensure.
113
WORLD HEALTH STATISTICS
2010
Figure 12: Global distribution of the health workforce (per 10 000 population) 2000–2009
Physicians
Physician density
(per 10 000 population)
<5
5–19.9
20–29.9
≥30
Data not available
Nurses
Nurse/midwife density
(per 10 000 population)
<20
20–49.9
50–99.9
≥100
Data not available
114
Table 6
WORLD HEALTH STATISTICS
2010
Box 5: Health workforce distribution
Figure 12 illustrates the density of physicians and nursing and midwifery personnel as the number of
physicians and nurses/midwives per 10 000 population. From the data presented, three major conclusions
emerge:
In general, countries with the lowest density for both physicians and nurses/midwives are in the WHO
African Region.
European countries have the highest physician densities.
The highest nurse/midwife densities are found in the more-developed regions of the world.
115
6. Health workforce, infrastructure and essential medicines
Health workforcea
Member State
Physicians
Number
Nursing and midwifery
personnel
Density
Number
(per 10 000
population)
2000–2009
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Cook Islands
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
Djibouti
5 970
3 626
40 857
249
1 165
…
122 623
11 088
19 612
31 175
32 388
…
2 227
42 881
…
46 965
44 124
251
542
52
10 329
5 540
715
320 013
400
27 911
921
200
2 047
3 124
62 307
310
331
345
17 250
1 862 630
58 761
115
401
20
5 204
2 746
11 799
72 416
1 950
36 815
74 597
5 827
17 226
140
Density
Number
(per 10 000
population)
2000–2009
2
11
12
37
1
…
32
37
10
38
38
…
30
3
…
49
42
11
1
<0.5
12
14
4
17
11
37
1
<0.5
2
2
19
6
1
<0.5
11
14
14
2
1
12
13
1
26
64
23
36
33
1
32
2
Dentistry personnel
14 930
12 746
65 919
280
18 485
…
18 685
14 601
222 133
54 580
71 833
…
4 354
39 471
…
121 114
5 505
303
7 129
545
18 091
18 332
4 753
549 423
2 120
35 645
10 539
1 348
11 125
26 042
327 224
714
1 613
2 499
10 000
1 259 240
23 940
588
3 492
80
3 653
9 231
25 397
97 800
3 361
91 311
93 414
28 789
53 133
450
116
Density
Number
(per 10 000
population)
2000–2009
5
40
19
42
13
…
5
49
109
66
84
…
58
3
…
126
5
13
8
2
21
47
26
29
61
47
7
2
8
16
100
13
4
3
6
10
6
7
8
47
9
5
56
86
40
90
41
5
98
6
Pharmaceutical personnel
900
1 035
11 010
47
222
…
35 592
1 163
29 624
4 490
2 522
…
334
2 344
…
4 784
8 305
32
37
65
5 997
629
38
217 217
70
6 432
28
14
209
147
38 310
11
13
15
6 750
136 520
33 951
29
12
10
1 905
274
3 265
20 158
715
6 948
8 315
159
4 266
60
Density
(per 10 000
population)
2000–2009
<0.5
3
3
7
<0.5
…
9
4
15
5
3
…
4
<0.5
…
5
8
1
<0.5
<0.5
7
2
<0.5
12
2
8
<0.5
<0.5
<0.5
<0.5
12
<0.5
<0.5
<0.5
4
1
8
<0.5
<0.5
6
5
<0.5
7
18
8
7
4
<0.5
8
1
900
1 237
8 232
73
919
…
19 510
163
15 339
5 076
1 609
…
644
9 411
…
2 994
12 109
…
20
87
4 670
308
333
104 098
30
1 020
347
76
564
700
27 078
43
17
37
…
351 620
…
41
63
2
2 101
413
2 607
7 047
160
5 785
13 497
1 200
3 723
41
<0.5
4
2
11
1
…
5
1
8
6
2
…
9
1
…
3
12
…
<0.5
<0.5
6
1
2
6
1
1
<0.5
<0.5
<0.5
<0.5
8
1
<0.5
<0.5
…
3
…
1
<0.5
1
5
<0.5
6
6
2
6
6
<0.5
7
1
WORLD HEALTH STATISTICS
2010
Hospital bedsb
(per 10 000
population)
Health workforcea
Number
Density
Community health
workers
Number
(per 10 000
population)
2000–2009
…
…
2 429
…
…
…
…
…
…
…
…
…
294
6 091
…
…
…
…
217
80
…
…
172
167 080
…
…
36
…
…
28
1 375
9
55
230
…
…
…
17
19
…
1 266
1 419
…
3 419
…
…
2 685
…
…
20
Essential medicines
Density
Public
Private
Median consumer price ratio of selected
generic medicinesd
Public
Private
(per 10 000
population)
2000–2009
…
…
1
…
…
…
…
…
…
…
…
…
4
<0.5
…
…
…
…
<0.5
<0.5
…
…
1
10
…
…
<0.5
…
…
<0.5
<0.5
<0.5
<0.5
<0.5
…
…
…
<0.5
<0.5
…
3
1
…
3
…
…
1
…
…
<0.5
MDG 8
Median availability of selected generic
medicinesc (%)
…
…
…
…
…
…
…
…
1 012
…
…
…
…
21 000
…
…
…
…
…
195
…
…
…
…
…
…
1 238
548
…
…
…
65
99
154
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
2000–2009
…
…
…
…
…
…
…
…
<0.5
…
…
…
…
1
…
…
…
…
…
1
…
…
…
…
…
…
1
1
…
…
…
1
<0.5
<0.5
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
2001–2008
4
29
17e
26
8e
17
41
41
39
78
79
32
20
4
76
112
53
12h
5e
17
11
30
18e
24
26
64
9e
7e
…
15e
34
21e
12e
4e
23
30
10
22e
16e
63
13
4e
53
60
37
81
132
8e
35
…
117
…
…
…
…
…
…
…
…f
…
…
…
…
…
…
…
…
…
…
…
…
31.9
…
…
…
…
…
…
…
…
58.3
…
…
…
31.3
…
19.2i
86.7j
…
21.2
…
…
…
…
…
…
…
…
…
…
…
2001–2008
…
…
…
…
…
…
…
…g
…
…
…
…
…
…
…
…
…
…
…
…
86.7
…
…
…
…
…
…
…
…
52.5
…
…
…
13.6
…
10.0i
87.9
…
31.3
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…f
…
…
…
…
…
…
…
…
…
…
…
…
3.5
…
…
…
…
…
…
…
…
2.2
…
…
…
3.9
…
1.5i
…j
…
6.5
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
3.4
…
…
…
…
…
…
…
…
…
…
…
…
4.5
…
…
…
…
…
…
…
…
13.6
…
…
…
15.1
…
1.1i
3.1
…
11.5
…
…
…
…
…
…
…
…
…
…
…
Table 6
Environment and public
health workers
6. Health workforce, infrastructure and essential medicines
Health workforcea
Member State
Physicians
Number
Nursing and midwifery
personnel
Density
Number
(per 10 000
population)
2000–2009
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
Lithuania
Luxembourg
…
15 670
18 335
179 900
7 938
153
215
4 414
1 806
380
17 503
227 683
395
62
19 951
288 182
2 587
59 599
…
…
940
78
366
…
3 676
27 957
1 120
643 520
29 499
61 870
15 994
13 141
25 314
215 000
2 253
270 371
15 279
57 387
4 506
20
4 840
12 395
2 000
6 940
11 760
89
51
7 070
13 729
1 326
Density
Number
(per 10 000
population)
2000–2009
…
19
15
24
12
3
1
33
<0.5
5
33
37
3
<0.5
45
35
1
54
…
…
1
<0.5
5
…
6
28
38
6
1
9
5
31
36
37
9
21
26
39
1
2
18
23
3
30
33
1
<0.5
12
40
29
Dentistry personnel
…
15 352
20 586
248 010
5 103
271
2 505
9 247
19 158
1 660
46 930
494 895
6 778
927
17 119
661 000
22 834
38 727
…
…
401
953
1 738
…
8 528
92 488
2 960
1 372 059
179 959
98 020
31 782
67 245
42 812
403 000
4 374
1 210 633
18 555
115 944
37 113
260
9 940
30 495
5 600
12 909
4 720
1 123
978
27 160
25 751
4 820
118
Density
Number
(per 10 000
population)
2000–2009
…
18
17
34
8
5
6
70
2
20
89
81
50
6
39
80
10
35
…
…
<0.5
6
23
…
13
92
101
13
8
14
10
158
61
69
16
95
32
78
12
30
37
57
10
57
13
6
3
48
76
104
Pharmaceutical personnel
…
7 000
2 062
25 170
3 465
15
16
1 175
93
60
4 490
41 422
66
23
1 219
63 100
148
14 180
…
…
33
6
30
…
1 371
4 245
286
55 344
7 093
13 210
3 515
2 537
7 814
37 000
212
95 197
4 891
5 717
1 340
3
810
1 021
…
1 552
4 058
16
4
850
2 395
359
Density
(per 10 000
population)
2000–2009
…
8
2
3
5
<0.5
<0.5
9
<0.5
1
9
7
1
<0.5
3
8
<0.5
13
…
…
<0.5
<0.5
<0.5
…
2
4
10
1
<0.5
2
1
6
11
6
1
7
8
4
<0.5
<0.5
3
2
…
7
11
<0.5
<0.5
2
7
8
…
3 330
…
92 540
…
121
107
869
1 201
90
8 086
72 160
63
49
249
49 528
1 673
8 977
…
…
199
38
…
…
926
5 483
312
592 577
7 580
13 900
3 357
4 108
5 310
44 000
…
241 369
8 087
12 651
3 094
2
1 340
86
…
…
4 105
62
269
1 130
2 743
405
…
4
…
12
…
2
<0.5
7
<0.5
1
16
12
1
<0.5
1
6
1
8
…
…
<0.5
<0.5
…
…
1
5
11
6
<0.5
2
1
10
8
8
…
19
14
9
1
<0.5
5
<0.5
…
…
11
<0.5
1
2
8
8
WORLD HEALTH STATISTICS
2010
Hospital bedsb
(per 10 000
population)
Health workforcea
Number
Density
Community health
workers
Number
(per 10 000
population)
2000–2009
…
…
…
9 531
…
18
88
115
1 109
…
…
…
150
79
…
…
35
…
…
…
67
58
…
…
215
…
…
…
6 493
10 004
2 601
…
…
…
…
…
1 412
…
6 496
…
…
…
…
…
…
55
40
…
…
…
Essential medicines
Density
Public
Private
Median consumer price ratio of selected
generic medicinesd
Public
Private
(per 10 000
population)
2000–2009
…
…
…
1
…
<0.5
<0.5
1
<0.5
…
…
…
1
<0.5
…
…
<0.5
…
…
…
<0.5
<0.5
…
…
<0.5
…
…
…
<0.5
1
1
…
…
…
…
…
3
…
2
…
…
…
…
…
…
<0.5
<0.5
…
…
…
MDG 8
Median availability of selected generic
medicinesc (%)
…
…
…
…
…
308
…
…
24 571
…
…
…
…
117
…
…
4 502
…
…
…
…
2 355
…
…
…
…
…
50 393
…
25 242
149
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
2000–2009
…
…
…
…
…
6
…
…
3
…
…
…
…
1
…
…
2
…
…
…
…
15
…
…
…
…
…
<0.5
…
4
<0.5
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
2001–2008
38
10h
6h
21
8h
19h
12e
56
2h
21
68
72
13h
11e
33
83
9e
48
26
6h
3e
10e
19
13
7h
71
75
9
6
14
13
53
58
39
17h
139
18
77
14e
15
18
51
12
76
34
13e
7e
37
81
63
119
…
…
41.7
…
53.8
…
…
…
52.9
…f
…
…
…
…
…
…
17.9
…
…
…
…
…
…
…
…
…
…
20.5l
46.7
96.7
…
…
…
…
…
…
27.8
0.0
37.7
…
12.0
…f
…
…
0.0
…
…
…
…
…
2001–2008
…
…
71.7
…
69.2
…
…
…
88.0
75.0
…
…
…
…
…
…
44.6
…
…
…
…
…
…
…
…
…
…
75.4l
62.1
96.7
…
…
…
…
…
…
80.0
70.0
72.4
…
0.0
80.0
…
…
83.8
…
…
…
…
…
…
…
…k
…
…k
…
…
…
1.3
…f
…
…
…
…
…
…
2.4
…
…
…
…
…
…
…
…
…
…
…k
2.5
1.3
…
…
…
…
…
…
0.9
4.8
2.0
…
…k
…f
…
…
…k
…
…
…
…
…
…
…
5.0
…
28.3
…
…
…
2.2
2.7
…
…
…
…
…
…
3.8
…
…
…
…
…
…
…
…
…
…
1.8l
2.8
1.3
…
…
…
…
…
…
10.5
3.7
3.3
…
15.7
2.6
…
…
6.1
…
…
…
…
…
Table 6
Environment and public
health workers
6. Health workforce, infrastructure and essential medicines
Health workforcea
Member State
Physicians
Number
Nursing and midwifery
personnel
Density
Number
(per 10 000
population)
2000–2009
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Republic of Korea
Republic of Moldova
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
3 150
257
17 020
302
1 060
1 357
24
445
1 303
303 519
60
…
6 732
1 233
18 269
548
17 791
598
10
5 384
64 417
8 190
2 045
288
55 376
4
18 143
4 908
127 859
30
4 431
275
6 355
…
90 370
77 479
36 138
2 313
81 998
11 167
41 455
614 183
221
46
…
89
50
…
81
41 870
Density
Number
(per 10 000
population)
2000–2009
2
<0.5
7
9
1
34
5
1
11
29
6
…
26
20
6
<0.5
4
3
8
2
39
21
4
<0.5
4
20
39
18
8
16
15
1
11
…
12
20
34
28
17
27
19
43
<0.5
11
…
8
3
…
5
16
Dentistry personnel
5 661
3 896
43 380
886
2 882
2 540
152
2 303
4 604
417 665
250
…
8 826
3 442
24 328
6 214
49 341
6 145
63
11 825
248 810
33 249
5 862
2 115
224 943
22
76 173
10 394
62 651
120
8 158
2 841
10 261
…
480 910
199 700
50 955
6 185
210 640
27 815
90 698
1 214 292
4 050
198
…
447
310
…
308
93 735
120
Density
Number
(per 10 000
population)
2000–2009
3
3
18
27
2
63
30
7
37
40
23
…
34
55
8
3
10
31
48
5
151
87
11
1
16
110
163
39
4
60
28
5
18
…
61
52
48
74
44
66
42
85
4
47
…
38
17
…
19
36
Pharmaceutical personnel
57
211
2 160
14
15
175
4
93
233
148 456
10
…
337
248
3 091
159
1 396
113
1
359
8 113
1 620
243
16
3 781
2
4 108
524
15 790
…
2 231
90
3 182
…
43 220
12 187
6 149
486
65 916
1 566
4 360
45 628
35
17
…
5
10
…
11
6 049
Density
(per 10 000
population)
2000–2009
<0.5
<0.5
1
<0.5
<0.5
4
1
<0.5
2
14
1
…
1
4
1
<0.5
<0.5
1
1
<0.5
5
4
<0.5
<0.5
<0.5
10
9
2
1
…
8
<0.5
6
…
6
3
6
6
14
4
2
3
<0.5
4
…
<0.5
1
…
1
2
175
293
2 880
241
214
630
2
123
1 428
79 925
20
…
1 093
105
7 366
817
127
288
10
358
2 871
3 920
…
21
18 682
1
3 239
1 200
8 102
…
2 526
…
1 868
…
46 360
22 442
10 320
1 056
53 492
2 993
901
11 521
14
21
…
…
20
…
24
15 043
<0.5
<0.5
1
7
<0.5
16
<0.5
<0.5
12
8
2
…
4
2
2
<0.5
<0.5
1
8
<0.5
2
10
…
<0.5
1
5
7
5
1
…
9
…
3
…
6
6
10
13
11
7
<0.5
1
<0.5
5
…
…
1
…
2
6
WORLD HEALTH STATISTICS
2010
Hospital bedsb
(per 10 000
population)
Health workforcea
Number
Density
Community health
workers
Number
(per 10 000
population)
2000–2009
130
318
…
…
262
…
…
196
238
…
…
…
85
…
737
564
1 757
240
…
172
…
…
…
137
4 280
…
…
197
106
…
948
…
133
…
…
…
…
…
…
…
…
72 515
36
17
…
…
…
…
19
…
Essential medicines
Density
Public
Private
Median consumer price ratio of selected
generic medicinesd
Public
Private
(per 10 000
population)
2000–2009
<0.5
<0.5
…
…
<0.5
…
…
1
2
…
…
…
<0.5
…
<0.5
<0.5
<0.5
1
…
<0.5
…
…
…
<0.5
<0.5
…
…
1
<0.5
…
3
…
<0.5
…
…
…
…
…
…
…
…
5
<0.5
4
…
…
…
…
1
…
MDG 8
Median availability of selected generic
medicinesc (%)
385
10 055
…
515
68
…
…
…
236
…
…
…
…
…
…
…
44 293
…
…
16 206
…
5 259
…
…
19 268
…
…
…
65 999
…
…
…
…
…
…
…
…
…
…
…
…
…
12 000
65
…
45
…
…
150
…
2000–2009
<0.5
7
…
16
<0.5
…
…
…
2
…
…
…
…
…
…
…
9
…
…
6
…
14
…
…
1
…
…
…
4
…
…
…
…
…
…
…
…
…
…
…
…
…
14
15
…
4
…
…
9
…
2001–2008
e
3
11e
18
26
6m
78
…
4e
33e
17h
33
…
60
40
11
8e
6
27h
35
50
48
62
9h
3e
5e
52
39
20
6
50
22
…
13
15
5
52
35
25
86
61
65
97
16e
55
28
30
10
…
32e
22
121
…
…
25.0
…
81.0
…
…
…
…
…
…
…
100.0
…
0.0
…
…
…
…
…
…
…
50.0
…
26.2
…
…
96.7
3.3
…
…
…
…
61.5
15.4
…
…
…
…
…
…
…
…
…
…
…
…
…
56.3
…
2001–2008
…
…
43.8
…
70.0
…
…
…
…
…
…
…
80.0
…
52.5
…
…
…
…
…
…
…
87.1
…
36.4
…
…
70.3
31.3
…
…
…
…
60.9
26.5
…
…
…
…
…
…
…
…
…
…
…
…
…
22.2
…
…
…
…k
…
1.8
…
…
…
…
…
…
…
2.6
…
…k
…
…
…
…
…
…
…
…k
…
3.5
…
…
…k
…k
…
…
…
…
1.4
6.4
…
…
…
…
…
…
…
…
…
…
…
…
…
2.4
…
…
…
6.6
…
5.4
…
…
…
…
…
…
…
4.2
…
11.1
…
…
…
…
…
…
…
5.7
…
4.3
…
…
7.4
2.3
…
…
…
…
5.6
5.6
…
…
…
…
…
…
…
…
…
…
…
…
…
13.8
…
Table 6
Environment and public
health workers
6. Health workforce, infrastructure and essential medicines
Health workforcea
Member State
Physicians
Number
Nursing and midwifery
personnel
Density
Number
(per 10 000
population)
2000–2009
Density
Dentistry personnel
Number
(per 10 000
population)
2000–2009
Density
Pharmaceutical personnel
Number
(per 10 000
population)
2000–2009
Density
(per 10 000
population)
2000–2009
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Thailand
The former Yugoslav Republic of
Macedonia
741
20 013
121
95
6 380
16 868
4 766
60
300
34 829
163 800
10 479
11 083
191
171
32 495
28 812
10 342
13 267
18 987
5 187
1
20
15
<0.5
15
31
24
1
<0.5
8
38
6
3
5
2
36
40
5
20
3
25
5 254
43 569
634
991
18 710
35 757
15 361
630
965
184 459
322 600
33 431
33 354
688
6 828
104 958
79 153
27 288
33 165
84 683
8 833
4
44
79
2
44
66
78
13
1
41
74
17
9
16
63
116
110
14
50
14
43
105
2 455
94
24
1 190
2 441
1 202
…
…
5 995
24 515
1 245
944
4
32
7 541
3 847
2 306
1 003
4 471
1 175
<0.5
3
12
<0.5
3
5
6
…
…
1
6
1
<0.5
<0.5
<0.5
8
5
1
2
1
6
127
1 910
61
192
1 280
2 637
944
…
50
12 521
39 900
1 066
1 531
…
70
6 605
4 269
89
680
7 350
908
<0.5
2
8
<0.5
3
5
5
…
<0.5
3
9
1
<0.5
…
1
7
6
5
1
1
4
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzania
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
79
349
30
1 543
13 330
110 482
12 104
10
3 361
143 728
6 946
126 126
300
793 648
12 384
71 627
30
48 000
44 960
6 739
649
2 086
1
1
3
12
13
15
24
9
1
31
15
21
<0.5
27
37
26
1
19
6
3
1
2
1 795
1 816
350
4 677
28 537
144 229
22 419
50
37 625
388 444
13 936
37 200
9 440
2 927 000
2 880
295 781
360
28 000
61 810
13 746
8 369
9 357
22
3
34
36
29
19
45
45
13
84
46
6
2
98
8
108
17
11
8
7
7
7
45
19
10
294
2 452
17 985
701
2
440
19 169
1 368
25 914
230
463 663
3 936
4 748
…
13 680
…
850
56
310
1
<0.5
1
2
3
2
1
2
<0.5
4
4
4
<0.5
16
12
2
…
6
…
<0.5
<0.5
<0.5
14
11
4
641
2 909
24 756
970
2
762
22 257
2 006
…
81
249 642
…
899
…
…
24 080
2 638
108
883
<0.5
<0.5
<0.5
5
3
3
2
2
<0.5
5
7
…
<0.5
9
…
<0.5
…
…
3
1
<0.5
1
122
WORLD HEALTH STATISTICS
2010
Hospital bedsb
(per 10 000
population)
Health workforcea
Number
Density
Community health
workers
Number
(per 10 000
population)
2000–2009
MDG 8
Essential medicines
Median availability of selected generic
medicinesc (%)
Density
Public
Private
Median consumer price ratio of selected
generic medicinesd
Public
Private
(per 10 000
population)
2000–2009
2000–2009
2001–2008
h
2001–2008
1 212
…
77
135
…
…
…
…
41
2 529
…
1 541
2 897
…
110
…
…
…
…
2 151
…
1
…
10
<0.5
…
…
…
…
<0.5
1
…
1
1
…
1
…
…
…
…
<0.5
…
…
…
…
132
…
…
…
…
…
…
…
…
4 716
…
4 000
…
…
…
…
…
…
…
…
…
<0.5
…
…
…
…
…
…
…
…
1
…
37
…
…
…
…
…
…
3
54
39e
4e
32
68
47
14
…
28e
34
31
7
31
21e
…
55
15
61
22
46
…
…
…
…
…
…
…
…
…
…f
…
…
51.7o
…
…
…
…
…f
75.0
75.0
…
…
…
…
…
…
…
…
…
…
71.7n
…
…
77.1o
…
…
…
…
98.2
85.0
28.6
…
…
…
…
…
…
…
…
…
…
…f
…
…
4.4o
…
…
…
…
…f
2.4
2.6
…
…
…
…
…
…
…
…
…
…
6.5n
…
…
4.7o
…
…
…
…
2.5
2.3
3.3
…
22
68
…
…
890
19 304
…
…
1 042
…
…
…
1 831
…
…
…
…
…
…
792
803
1 803
<0.5
<0.5
…
…
1
3
…
…
<0.5
…
…
…
1
…
…
…
…
…
…
<0.5
1
1
10
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
2 542
…
…
<0.5
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
1
…
…
…
9e
24
27
20
28
41
56
4e
87
19
39
11e
31
29h
48
37
13
28
7
19e
30e
…
…
…
…
64.3
…
…
…
20.0
100.0
61.1
…
23.4
…
…
…f
…
…
…
5.0
…
…
…
…
…
…
95.1
…
…
…
80.0
90.7
73.9
…
47.9
…
…
82.5
…
…
…
90.0
…
…
…
…
…
…
…k
…
…
…
…k
4.0
…k
…
1.3
…
…
…f
…
…
…
1.1
…
…
…
…
…
…
6.8
…
…
…
2.6
3.7
13.8
…
2.7
…
…
2.0
…
…
…
3.5
…
…
123
Table 6
Environment and public
health workers
6. Health workforce, infrastructure and essential medicines
Health workforcea
Member State
Physicians
Number
Nursing and midwifery
personnel
Density
Number
(per 10 000
population)
2000–2009
Dentistry personnel
Density
Number
(per 10 000
population)
2000–2009
Pharmaceutical personnel
Density
Number
(per 10 000
population)
2000–2009
Density
(per 10 000
population)
2000–2009
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
4
5 684
1 862 630
<0.5
11
64
22
13 328
2 927 000
<0.5
27
163
1
1 099
463 663
<0.5
2
18
1
1 056
592 577
<0.5
2
19
174 510
1 889 643
843 571
2 877 344
549 009
2 413 713
2
23
5
33
10
14
802 076
4 510 636
1 867 409
6 020 074
773 040
3 575 524
11
55
11
68
14
21
25 798
1 009 763
80 691
428 343
87 658
376 265
<0.5
12
<0.5
5
2
2
56 212
503 383
632 308
413 588
168 034
742 180
1
7
4
5
3
4
Low income
Lower middle income
Upper middle income
High income
332 034
3 464 085
2 126 466
2 825 205
4
10
24
28
899 015
4 917 127
3 566 218
8 166 399
10
14
40
81
24 873
368 175
621 351
994 119
<0.5
1
7
10
65 479
1 203 878
331 961
914 387
1
4
4
10
GLOBAL
8 747 790
14
17 548 759
28
2 008 518
3
2 515 705
4
WHO REGION
African Region
Region of the Americas
South-East Asia Region
European Region
Eastern Mediterranean Region
Western Pacific Region
INCOME GROUP
124
WORLD HEALTH STATISTICS
2010
Hospital bedsb
(per 10 000
population)
Health workforcea
Environment and public
health workers
Number
Density
Community health
workers
Number
Density
(per 10 000
population)
2000–2009
MDG 8
Essential medicines
Median availability of selected generic
medicinesc (%)
Public
Private
Median consumer price ratio of selected
generic medicinesd
Public
Private
(per 10 000
population)
2000–2009
2000–2009
2001–2008
2001–2008
9
230
167 080
<0.5
<0.5
10
10
1 012
65 999
<0.5
1
37
2
26
139
0.0
39.7
100.0
0.0
71.7
98.2
0.9
2.4
6.5
1.1
4.3
28.3
28 856
…
…
…
29 522
…
<0.5
…
…
…
1
…
…
…
132 612
…
98 648
…
…
…
1
…
3
…
9
24
11
63
12
38
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
<0.5
…
5
…
…
…
…
…
…
…
…
…
15
18
39
58
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
…
27
…
…
…
…
Table 6
28 602
…
270 384
…
125
Table 7
WORLD HEALTH STATISTICS
2010
Health expenditure
This section presents data on government, private, external, social security and out-of-pocket expenditures on health.
These data are generated from information collected by WHO for over 10 years. The most comprehensive and
consistent data on health financing are generated from national health accounts (NHAs) that collect expenditure
information within an internationally recognized framework. NHAs trace financing as it flows from funding sources,
to decision-makers who decide upon the use of the funds, to the providers and beneficiaries of health services. Not
all countries maintain or update NHAs – in such cases data are obtained through technical contacts in the country
or from publicly available documents and reports. Missing values are estimated using various accounting techniques
depending on the data available for each country. WHO sends all such estimates to the respective ministries of health
every year for validation. As a general rule, life expectancy rises with increasing per capita total health expenditure;
however, there are diminishing returns (Figure 13 and Box 6).
127
WORLD HEALTH STATISTICS
2010
Figure 13: Life expectancy at birth against per capita total health expenditure
85
80
75
Life expectancy at birth, 2008 (years)
70
65
AFR
AMR
SEAR
60
EUR
EMR
WPR
55
50
45
40
100
0
500
1000
1500
2000
2500
3000
3500
4000
4500
5000
5500
Per capita total expenditure on health, 2007 (PPP int. $)
128
6000
6500
7000
7500
Box 6: Life expectancy and per capita total health expenditure
In Figure 13, each shape represents one country coded according to WHO region. Three major conclusions
can be drawn from the data:
As a general rule, life expectancy rises with increasing per capita total health expenditure; however, there
are diminishing returns – the highest levels of per capita health expenditure are associated with only
modest or no improvements in life expectancy. In addition, a number of countries have achieved high
levels of life expectancy despite relatively lower per capita health expenditures.
In almost one quarter of countries, health expenditure in 2007 was less than 100 PPP int. $ per capita –
most of these countries are in the WHO African Region and three quarters of them had a life expectancy
at birth of 60 years or lower in 2008.
Countries with the highest levels of per capita health expenditure are mainly those in the WHO Region
of the Americas and the WHO European Region.
129
Table 7
WORLD HEALTH STATISTICS
2010
7. Health expenditure
Health expenditure ratios a
Member State
Total expenditure on
health as % of gross
domestic product
2000
d,e,f
Afghanistan
Albania
Algeria
Andorra
Angolag
Antigua and Barbuda
Argentina
Armenia
Australiah
Austria
Azerbaijani
Bahamas
Bahraind
Bangladeshd,j
Barbados
Belarus
Belgium
Belized
Benin
Bhutanj
Bolivia (Plurinational State of)k
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Fasod
Burundid,g
Cambodiad,l
Cameroond,g
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comorosg
Congo
Cook Islandsj
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
Djibouti
6.5
6.4
3.5
7.6
2.4
4.8
9.0
6.4
8.3
9.9
4.8
6.0
3.9
2.7
6.3
6.4
9.1
3.7
4.6
5.2
6.1
6.9
4.4
7.2
3.0
6.1
5.1
7.2
5.8
4.5
8.8
4.6
3.8
6.3
6.6
4.6
6.8
2.8
2.1
3.8
6.5
5.3
7.8
6.7
5.7
6.5
…
3.7
8.3
5.8
2007
7.6
7.0
4.4
7.6
2.5
4.7
10.0
4.4
8.9
10.1
3.7
7.3
3.7
3.4
7.0
6.5
9.4
4.0
4.8
4.1
5.0
9.8
5.7
8.4
2.4
7.3
6.1
13.9
5.9
4.9
10.1
4.5
4.1
4.8
6.2
4.3
6.1
3.3
2.4
4.4
8.1
4.2
7.6
10.4
6.6
6.8
…
5.8
9.8
7.2
General government
expenditure on health
as % of total
expenditure
on healthb
2000
2007
2.9
36.3
73.3
64.8
79.2
69.0
55.5
17.7
66.8
76.8
18.1
47.6
67.5
38.0
65.8
76.6
71.8
58.3
47.6
73.6
60.1
52.5
61.0
40.0
86.5
59.6
39.6
38.2
22.5
21.5
70.4
73.5
41.4
42.5
52.1
38.7
80.9
54.1
57.7
90.6
76.8
24.8
86.1
90.9
41.7
90.3
…
1.1
82.4
67.8
23.6
41.2
81.6
69.8
80.3
69.4
50.8
47.3
67.5
76.4
26.8
51.0
69.6
33.6
64.0
74.9
74.1
65.1
51.8
80.3
69.2
56.8
74.6
41.6
81.5
57.2
56.1
37.7
29.0
25.9
70.0
74.6
34.7
56.3
58.7
44.7
84.2
57.2
70.4
91.7
72.9
24.0
87.0
95.5
45.6
85.2
…
20.8
84.5
76.6
130
Private expenditure on
health as % of total
expenditure on healthb
2000
97.1
63.7
26.7
35.2
20.8
31.0
44.5
82.3
33.2
23.2
81.9
52.4
32.5
62.0
34.2
23.4
28.2
41.7
52.4
26.4
39.9
47.5
39.0
60.0
13.5
40.4
60.4
61.8
77.5
78.5
29.6
26.5
58.6
57.5
47.9
61.3
19.1
45.9
42.3
9.4
23.2
75.2
13.9
9.1
58.3
9.7
…
98.9
17.6
32.2
2007
76.4
58.8
18.4
30.2
19.7
30.6
49.2
52.7
32.5
23.6
73.2
49.0
30.4
66.4
36.0
25.1
25.9
34.9
48.2
19.7
30.8
43.2
25.4
58.4
18.5
42.8
43.9
62.3
71.0
74.1
30.0
25.4
65.3
43.7
41.3
55.3
15.8
42.8
29.6
8.3
27.1
76.0
13.0
4.5
54.4
14.8
…
79.2
15.5
23.4
General government
expenditure on health
as % of total
government
expenditure
2000
6.7
7.1
9.0
19.1
3.2
12.1
14.7
4.6
15.3
14.7
4.2
14.5
10.2
7.2
11.7
10.7
13.3
6.7
11.3
8.6
9.8
6.4
6.9
4.1
6.3
8.5
8.9
7.9
8.7
6.4
15.1
9.6
10.1
13.1
14.1
11.1
21.4
9.5
4.8
9.8
21.7
7.2
14.5
11.9
6.4
14.1
…
0.4
12.6
12.0
2007
3.7
9.5
10.7
21.3
5.3
10.6
13.9
10.4
17.6
15.9
3.8
15.5
9.8
8.0
11.9
9.9
14.4
9.1
10.7
10.7
9.9
13.5
13.0
5.4
6.7
10.7
13.3
12.5
11.2
8.1
18.1
10.5
11.0
13.8
17.9
9.9
18.8
8.4
5.1
12.4
25.8
4.8
17.6
14.5
7.0
13.5
…
6.4
16.2
14.1
External resources for
health as %
of total
expenditure on health
2000
0.8
6.0
0.1
0
3.6
3.6
0
8.5
0
0
3.9
0
0
7.0
4.0
0.1
0
3.6
16.0
27.1
6.0
10.3
0.5
0.5
0
2.0
13.9
16.3
9.4
4.1
0
13.5
22.9
24.9
0.1
0.1
0.3
26.4
4.6
2.2
1.0
5.1
0.4
0.1
0
0
…
3.7
0
32.6
2007
20.2
3.9
0.1
0
3.7
0
0.1
15.2
0
0
0.8
0
0
7.7
0.7
0.2
0
1.6
21.3
19.6
0
0.7
4.0
0
0
0
28.3
40.0
16.4
5.2
0
15.5
25.9
11.3
0
0.2
0.1
20.9
5.4
16.3
0.1
5.0
0
0.1
0
0
…
47.8
0
12.9
WORLD HEALTH STATISTICS
2010
Social security
expenditure on health
as % of general
government
expenditure on health
2000
0
20.2
35.5
88.1
0
0
59.5
0
0
58.8
0
1.8
0.4
0
0
5.8
79.0
0
0.5
0
62.0
95.9
0
0
0
12.7
0.8
25.1
0
0.1
2.0
36.1
0
0
15.0
57.2
60.2
0
0
0
89.6
0
97.6
0
0
89.5
…
0
0
11.3
2007
0
35.5
30.9
88.0
0
0
58.8
0
0
58.6
0
2.6
0.4
0
0.2
2.7
88.3
8.5
0.5
0
64.3
95.4
0
0
0
63.0
0.3
15.9
0
0
2.0
28.0
0
0
17.0
55.3
70.1
0
0
0
82.3
0
91.0
0
0.1
90.3
…
0
0
9.6
Out-of-pocket
expenditure as %
of private
expenditure on health
2000
98.9
99.9
96.7
75.5
100
86.8
63.3
91.6
59.7
66.1
78.3
40.2
68.7
95.9
77.3
57.1
84.7
100
99.9
100
81.6
100
35.6
62.7
98.8
100
94.4
71.3
97.1
94.4
53.7
99.6
95.0
96.2
48.7
97.3
59.0
100
100
100
88.2
90.7
100
91.9
95.7
100
…
97.0
91.0
98.4
2007
98.9
93.9
94.7
74.8
100
86.5
42.9
91.4
55.5
65.2
87.8
40.7
67.7
97.4
80.7
69.4
76.4
100
94.9
100
79.4
100
27.3
58.8
98.9
86.4
91.3
60.5
84.7
94.5
49.6
99.7
95.0
96.2
53.2
92.0
48.7
100
100
100
84.6
88.7
91.9
91.3
84.4
89.0
…
51.7
89.0
98.6
Per capita health expenditures a
Private prepaid
plans as %
of private
expenditure on health
2000
0
0
3.1
22.3
0
13.2
32.6
0
21.8
20.7
0.3
58.6
25.4
0.1
22.7
0.1
12.3
0
0.1
0
8.1
0
3.8
33.9
0.6
0
1.0
0.4
0
0
38.8
0.4
0
0.4
51.3
1.0
41.0
0
0
0
2.3
9.3
0
0
4.3
0
…
0
9.0
1.6
2007
0
0
5.1
23.1
0
13.5
51.7
0.2
24.1
19.3
1.0
58.2
12.8
0
19.3
0.1
22.5
0
5.0
0
15.4
0
5.2
39.4
0.5
0.8
2.0
0.2
0
0
42.6
0.3
0
0.4
46.8
7.1
51.3
0
0
0
9.0
11.3
8.1
0
10.8
1.5
…
0
10.5
1.4
Per capita total
expenditure
on health at
average exchange
rate (US$)
Per capita total
expenditure
on healthc
(PPP int. $)
Per capita
government
expenditure on health
at average exchange
rate (US$)
Per capita
government
expenditure
on healthc
(PPP int. $)
2000
2007
2000
2007
2000
2007
2000
2007
9
76
63
1 289
15
411
689
40
1 728
2 335
31
1 072
483
9
639
66
2 061
123
16
41
61
94
145
267
541
95
11
8
17
27
2 082
57
10
10
324
43
161
10
22
178
265
32
375
184
744
361
…
10
2 478
44
42
244
173
2 948
86
627
663
133
3 986
4 523
140
1 535
902
15
932
302
4 056
174
32
75
69
397
372
606
753
384
29
17
36
54
4 409
132
16
32
615
108
284
23
52
474
488
41
1 009
585
1 778
1 141
…
9
5 551
71
16
267
188
2 057
55
597
815
130
2 263
2 824
105
1 374
800
22
841
328
2 518
183
55
129
183
280
357
506
1 247
372
41
22
52
73
2 516
100
26
49
615
108
388
27
60
252
468
82
842
375
1 889
980
…
8
2 378
91
83
505
338
3 004
131
946
1 322
246
3 357
3 763
284
1 987
1 199
42
1 263
704
3 323
279
70
188
200
767
762
837
1 176
835
72
51
108
104
3 900
148
30
72
863
233
516
37
90
381
899
67
1 398
917
3 034
1 626
…
17
3 513
148
<1
27
46
836
12
284
382
7
1 155
1 794
6
510
326
3
420
51
1 479
72
8
30
37
49
88
107
468
56
5
3
4
6
1 465
42
4
4
169
17
130
6
13
161
203
8
323
167
310
326
…
<1
2 043
30
10
101
141
2 057
69
435
336
63
2 691
3 456
38
783
628
5
596
226
3 005
113
17
60
47
225
278
252
613
220
16
7
10
14
3 086
99
6
18
361
49
239
13
36
435
356
10
878
558
811
972
…
2
4 690
54
<1
97
138
1 333
43
412
452
23
1 512
2 169
19
654
541
8
553
251
1 807
107
26
95
110
147
218
202
1 078
222
16
9
12
16
1 770
74
11
21
320
42
314
14
34
228
360
20
726
341
787
885
…
<1
1 960
61
20
208
276
2 097
105
656
671
117
2 266
2 875
76
1 014
835
14
808
528
2 461
182
36
151
138
436
568
348
958
477
40
19
31
27
2 730
110
10
40
507
104
435
21
63
350
656
16
1 216
875
1 383
1 385
…
4
2 968
113
131
Table 7
Health expenditure ratios a
7. Health expenditure
Health expenditure ratios a
Member State
Total expenditure on
health as % of gross
domestic product
2000
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinead,g,m
Eritreag
Estonia
Ethiopia
Fiji
Finland
France
Gabong
Gambiad
Georgian
Germany
Ghanad
Greece
Grenada
Guatemala
Guinea
Guinea-Bissaug,o
Guyana
Haiti
Honduras
Hungary
Iceland
Indiad
Indonesiad
Iran (Islamic Republic of)p
Iraqg,q
Ireland
Israel
Italy
Jamaica
Japan
Jordand,r
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberiad,g
Libyan Arab Jamahiriyag,s
Lithuania
Luxembourg
5.9
6.3
4.2
5.5
8.0
1.9
5.5
5.3
4.3
4.7
7.2
10.1
4.5
5.8
7.4
10.3
7.2
7.9
6.1
6.2
5.3
6.2
5.5
6.3
5.3
7.0
9.6
4.4
2.0
5.9
1.4
6.3
7.7
8.1
5.5
7.7
9.8
4.2
4.5
10.8
3.0
4.7
3.2
6.0
10.9
6.7
9.2
3.7
6.5
5.8
2007
6.2
5.4
5.8
6.3
6.2
2.1
3.3
5.4
3.8
4.0
8.2
11.0
4.6
5.5
8.2
10.4
8.3
9.6
7.1
7.3
5.6
6.1
8.2
5.3
6.2
7.4
9.3
4.1
2.2
6.4
2.5
7.6
8.0
8.7
4.7
8.0
8.9
3.7
4.7
19.1
2.2
6.5
4.0
6.2
8.8
6.2
10.6
2.7
6.2
7.1
General government
expenditure on health
as % of total
expenditure
on healthb
2000
2007
69.0
34.5
31.2
39.6
45.2
49.8
49.7
77.5
53.6
69.0
71.1
79.4
67.9
33.6
16.7
79.7
41.4
60.0
68.4
39.8
12.4
16.2
84.5
27.7
56.3
70.7
81.0
24.5
36.6
37.0
28.7
73.5
62.8
72.5
52.6
81.3
48.9
51.0
48.2
98.8
77.5
44.3
32.5
54.4
30.0
51.0
14.6
61.7
69.7
89.3
62.1
35.9
39.1
38.1
58.9
80.4
45.3
76.5
58.1
70.2
74.6
79.0
64.5
47.9
18.4
76.9
51.6
60.3
51.1
29.3
11.0
25.9
87.7
23.3
65.7
70.6
82.5
26.2
54.5
46.8
75.0
80.7
55.9
76.5
50.3
81.3
60.6
66.1
42.0
84.0
77.5
54.0
18.9
57.9
44.7
58.3
26.2
71.8
73.0
90.9
132
Private expenditure on
health as % of total
expenditure on healthb
2000
31.0
65.5
68.8
60.4
54.8
50.2
50.3
22.5
46.4
31.0
28.9
20.6
32.1
66.4
83.3
20.3
58.6
40.0
31.6
60.2
87.6
83.8
15.5
72.3
43.7
29.3
19.0
75.5
63.4
63.0
71.3
26.5
37.2
27.5
47.4
18.7
51.1
49.0
51.8
1.2
22.5
55.7
67.5
45.6
70.0
49.0
85.4
38.3
30.3
10.7
2007
37.9
64.1
60.9
61.9
41.1
19.6
54.7
23.5
41.9
29.8
25.4
21.0
35.5
52.1
81.6
23.1
48.4
39.7
48.9
70.7
89.0
74.1
12.3
76.7
34.3
29.4
17.5
73.8
45.5
53.2
25.0
19.3
44.1
23.5
49.7
18.7
39.4
33.9
58.0
16.0
22.5
46.0
81.1
42.1
55.3
41.7
73.8
28.2
27.0
9.1
General government
expenditure on health
as % of total
government
expenditure
2000
8.6
15.9
6.4
7.3
14.3
7.8
4.0
4.1
8.5
10.3
10.6
15.5
14.0
8.8
6.4
18.2
10.8
10.1
13.2
16.7
4.0
2.3
10.0
16.0
15.1
10.6
18.4
3.8
4.5
9.6
1.3
14.7
10.2
12.7
6.6
16.0
11.3
9.2
11.6
8.7
6.7
8.3
5.1
8.8
7.8
6.5
9.0
7.2
11.6
13.9
2007
8.2
9.2
7.4
7.1
14.3
6.9
4.2
4.0
10.2
9.5
12.9
16.6
14.0
11.6
4.2
18.2
10.7
13.2
8.2
14.1
4.7
4.0
14.8
9.2
19.0
10.5
17.8
3.7
6.2
11.5
3.1
17.1
10.1
13.9
5.2
17.9
11.4
11.2
7.8
10.3
5.4
9.8
3.7
10.0
11.7
7.9
16.6
5.4
12.9
17.3
External resources for
health as %
of total
expenditure on health
2000
3.7
2.0
4.1
1.0
0.9
9.5
24.6
0.9
16.5
6.2
0
0
1.5
22.2
5.1
0
9.5
0
0
3.4
9.0
46.5
4.2
9.4
3.1
0
0
0.5
0
0
26.5
0
2.6
0
1.8
0
4.4
7.4
8.3
29.6
0
9.9
30.3
0.5
2.1
3.1
5.6
0
1.7
0
2007
3.9
3.2
0.8
1.1
3.7
4.8
46.5
1.1
43.9
5.8
0
0
1.5
24.3
10.6
0
10.3
0
0.2
1.4
10.8
35.0
25.0
37.7
4.9
0
0
1.4
1.7
0.1
25.3
0
2.3
0
1.8
0
4.7
0.4
24.1
30.5
0
11.3
14.5
0.2
4.9
11.5
57.7
0
2.5
0
WORLD HEALTH STATISTICS
2010
Social security
expenditure on health
as % of general
government
expenditure on health
2000
0
17.0
28.0
24.3
44.2
0
0
88.2
0
0
19.5
94.3
2.0
0
44.3
87.3
0
45.9
0
52.3
1.8
5.3
0
0
16.4
83.9
33.4
16.9
6.2
42.3
0
1.2
72.4
0.1
0
80.9
0.6
0
10.9
0
0
10.0
1.4
0
52.1
0
0
0
88.3
82.6
2007
0
17.2
40.1
26.8
43.5
0
0
84.7
0
0
19.5
93.4
2.0
0
60.0
88.3
48.6
51.8
0
37.3
1.5
3.0
0
0
25.1
82.5
32.7
17.2
16.0
41.0
0
0.8
72.8
0.1
0
78.7
0.3
0
8.3
0
0
59.9
12.1
0
51.2
0
0
0
81.3
77.2
Out-of-pocket
expenditure as %
of private
expenditure on health
2000
88.9
71.9
85.3
94.1
94.6
89.5
100
88.5
79.2
79.1
77.0
34.4
100
53.7
93.4
55.1
79.6
94.5
100
89.7
99.5
61.4
100
69.7
86.9
89.8
100
92.2
72.9
95.9
100
41.2
78.5
89.1
65.0
90.1
74.9
99.0
80.1
100
93.9
89.3
91.8
96.8
80.1
73.2
52.2
100
86.2
65.2
2007
83.2
65.3
75.2
95.1
89.0
75.6
100
94.1
80.6
79.1
74.3
32.5
100
48.4
86.8
56.6
79.3
94.5
97.2
92.6
99.5
55.7
100
57.4
96.0
84.7
91.7
89.9
66.2
95.4
100
51.2
74.4
85.9
71.0
80.8
88.3
98.4
77.2
5.3
91.6
91.9
76.1
97.1
77.6
68.9
52.2
100
98.3
69.4
Per capita health expenditures a
Private prepaid
plans as %
of private
expenditure on health
2000
11.1
18.7
4.8
0.4
5.4
0
0
0
0.5
15.0
8.8
61.6
0
2.3
0.5
40.8
6.1
5.5
0
4.2
0
0
0
0
5.8
0.6
0
1.0
6.4
3.2
0
28.4
10.4
3.2
30.0
1.7
5.3
0.1
7.1
0
6.1
0
0
3.2
17.3
0
0
0
0.3
10.1
2007
16.8
21.9
5.2
0.2
11.0
0
0
1.3
3.0
15.0
8.3
63.9
0
3.1
1.9
40.1
5.9
5.5
0
4.4
0
0
0
0
4.0
3.9
0
2.1
4.7
3.8
0
41.9
15.3
4.0
25.6
13.7
5.6
0.1
8.8
0
8.4
0
0.4
2.3
18.3
0
0
0
1.5
20.4
Per capita total
expenditure
on health at
average exchange
rate (US$)
Per capita total
expenditure
on healthc
(PPP int. $)
Per capita
government
expenditure on health
at average exchange
rate (US$)
Per capita
government
expenditure
on healthc
(PPP int. $)
2000
2007
2000
2007
2000
2007
2000
2007
237
170
54
77
176
42
9
219
5
98
1 693
2 256
185
19
47
2 372
19
919
259
95
19
10
51
26
62
326
2 940
20
16
290
17
1 595
1 557
1 541
190
2 827
171
51
18
62
504
13
10
197
485
28
18
238
212
2 708
312
224
200
101
206
347
9
837
9
157
3 809
4 627
373
22
191
4 209
54
2 679
416
186
26
16
115
35
107
1 019
5 971
40
42
253
62
4 556
1 893
3 136
224
2 751
248
253
34
191
901
46
27
784
525
51
22
299
717
7 439
389
316
202
196
366
135
33
521
20
162
1 853
2 615
529
56
152
2 671
67
1 449
385
194
46
35
112
60
136
852
2 738
66
48
382
37
1 805
1 845
2 052
319
1 967
312
198
51
138
736
62
40
479
801
69
39
385
559
3 137
550
411
434
310
402
543
20
1 094
30
169
2 840
3 709
650
71
384
3 588
113
2 727
591
334
62
33
197
58
235
1 388
3 323
109
81
689
78
3 424
2 181
2 686
357
2 696
434
405
72
358
814
130
84
1 071
921
92
39
453
1 109
5 734
163
59
17
31
80
21
5
169
3
68
1 203
1 791
126
6
8
1 890
8
552
177
38
2
2
43
7
35
231
2 383
5
6
107
5
1 172
978
1 117
100
2 298
84
26
9
61
391
6
3
107
145
14
3
147
148
2 418
193
81
78
39
121
279
4
640
5
110
2 843
3 655
240
10
35
3 236
28
1 617
213
54
3
4
101
8
71
720
4 927
11
23
118
46
3 676
1 058
2 400
113
2 237
150
167
14
160
698
25
5
454
234
30
6
215
523
6 763
269
109
63
78
166
67
17
404
11
112
1 317
2 076
359
19
25
2 128
28
870
263
77
6
6
95
17
77
602
2 219
16
17
142
11
1 326
1 159
1 488
168
1 598
153
101
24
137
570
27
13
260
240
35
6
238
390
2 800
341
148
170
118
236
436
9
836
17
118
2 120
2 930
419
34
71
2 758
58
1 646
302
98
7
8
173
13
154
980
2 742
29
44
322
58
2 762
1 219
2 056
180
2 193
263
268
30
301
631
70
16
620
411
54
10
325
809
5 212
133
Table 7
Health expenditure ratios a
7. Health expenditure
Health expenditure ratios a
Member State
Total expenditure on
health as % of gross
domestic product
2000
Madagascar
Malawit
Malaysia
Maldivesd
Mali
Malta
Marshall Islands
Mauritaniag
Mauritius
Mexico
Micronesia (Federated States of)
Monacog
Mongolia
Montenegrou
Morocco
Mozambique
Myanmarv
Namibiad
Nauruj
Nepald,j
Netherlands
New Zealand
Nicaragua
Niger
Nigeriad
Niue
Norway
Oman
Pakistand,w
Palaud
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatard
Republic of Korea
Republic of Moldovax
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoad
San Marino
Sao Tome and Principe
Saudi Arabiad
3.7
6.1
3.2
9.6
6.3
6.8
20.3
2.8
3.8
5.1
8.4
4.6
4.9
8.3
4.2
5.9
2.1
6.1
11.3
5.1
8.0
7.7
6.6
3.5
4.6
8.0
8.4
3.1
3.0
9.5
7.8
4.0
9.2
4.7
3.4
5.5
8.8
2.3
4.7
5.9
5.2
5.4
4.2
5.4
5.4
5.7
5.6
7.5
10.2
3.7
2007
4.1
9.9
4.4
9.8
5.7
7.5
14.7
2.4
4.2
5.9
13.2
4.0
4.3
8.9
5.0
4.9
1.9
7.6
15.1
5.1
8.9
9.0
8.3
5.3
6.6
18.6
8.9
2.4
2.7
10.8
6.7
3.2
5.7
4.3
3.9
6.4
10.0
3.8
6.3
10.3
4.7
5.4
10.3
6.0
6.3
5.4
5.0
7.1
11.2
3.4
General government
expenditure on health
as % of total
expenditure
on healthb
2000
2007
66.5
43.8
52.4
51.6
32.9
72.5
98.0
71.2
52.0
46.6
93.9
75.3
80.1
58.1
29.4
71.9
13.4
68.9
72.7
24.9
63.1
78.0
53.5
54.4
33.5
98.2
82.5
81.8
21.3
89.1
68.1
81.7
40.2
58.7
47.6
70.0
72.5
68.8
44.9
50.3
67.7
59.9
39.2
60.3
58.5
64.0
70.9
86.0
35.7
81.7
66.2
59.7
44.4
65.4
51.4
77.5
97.4
65.3
49.0
45.4
95.8
74.8
81.7
57.2
33.8
71.8
11.7
42.1
70.9
39.7
82.0
78.9
54.9
52.8
25.3
98.9
84.1
78.7
30.0
78.4
64.6
81.3
42.4
58.4
34.7
70.9
70.6
75.6
54.9
50.8
80.3
64.2
47.0
57.8
54.2
61.3
84.5
85.5
47.1
79.5
134
Private expenditure on
health as % of total
expenditure on healthb
2000
33.5
56.2
47.6
48.4
67.1
27.5
2.0
28.8
48.0
53.4
6.1
24.7
19.9
41.9
70.6
28.1
86.6
31.1
27.3
75.1
36.9
22.0
46.5
45.6
66.5
1.8
17.5
18.2
78.7
10.9
31.9
18.3
59.8
41.3
52.4
30.0
27.5
31.2
55.1
49.7
32.3
40.1
60.8
39.7
41.5
36.0
29.1
14.0
64.3
18.3
2007
33.8
40.3
55.6
34.6
48.6
22.5
2.6
34.7
51.0
54.6
4.2
25.2
18.3
42.8
66.2
28.2
88.3
57.9
29.1
60.3
18.0
21.1
45.1
47.2
74.7
1.1
15.9
21.3
70.0
21.6
35.4
18.6
57.6
41.6
65.3
29.1
29.4
24.4
45.1
49.2
19.7
35.8
53.0
42.2
45.8
38.8
15.5
14.5
52.9
20.5
General government
expenditure on health
as % of total
government
expenditure
2000
14.0
8.6
6.2
13.5
9.5
12.0
21.1
6.5
8.7
16.6
10.5
17.4
10.7
22.0
4.0
17.9
1.2
13.1
11.2
7.7
11.4
15.6
13.1
10.3
4.2
6.2
16.4
7.1
2.4
11.3
21.3
9.9
17.5
14.9
7.0
9.4
14.9
5.0
9.4
8.7
9.2
9.6
8.2
9.5
11.7
10.8
10.8
20.4
9.0
9.2
2007
14.8
11.9
6.9
10.5
11.8
13.7
14.6
5.3
9.3
15.5
18.9
15.6
9.1
26.4
6.2
12.6
0.9
11.1
32.1
10.9
16.2
18.0
16.3
12.4
6.5
15.1
18.3
5.2
3.5
12.6
11.6
7.3
11.9
15.6
6.7
10.8
15.4
9.7
12.1
12.5
10.3
10.2
19.5
8.0
11.2
7.6
12.8
13.6
13.2
8.4
External resources for
health as %
of total
expenditure on health
2000
20.1
26.9
0.6
2.0
7.8
0
36.9
23.6
1.4
1.0
71.6
0
27.5
0
0.8
26.4
1.1
3.8
9.8
15.2
0
0
7.8
40.2
16.2
4.5
0
0
0.8
38.9
1.0
23.8
2.8
1.1
3.5
0
0
0
0
16.7
5.7
0.2
52.0
5.4
0.4
0.2
17.3
0
28.6
0
2007
17.8
59.9
0
1.2
19.8
0
66.1
13.3
1.8
0
72.4
0
2.6
0.5
1.4
57.8
7.6
10.6
27.8
17.8
0
0
9.3
74.9
2.2
49.1
0
0
3.3
39.9
0.2
29.7
1.1
1.1
1.3
0.1
0
0
0
2.1
0
0
52.3
0
0
0
12.0
0
21.7
0
WORLD HEALTH STATISTICS
2010
Social security
expenditure on health
as % of general
government
expenditure on health
2000
0
0
0.6
0
0
0
35.0
0
0
67.6
21.4
98.5
24.5
98.8
0
0.3
3.1
1.8
0
0
93.9
0
27.0
2.7
0
0
17.1
0
6.2
0
50.0
0
53.0
49.5
14.7
82.6
1.3
0
79.5
0
89.4
40.3
6.4
0
4.9
0
0.3
100
0
0
2007
0
0
0.8
0
0
0
12.3
0
0
58.9
22.2
98.4
33.0
81.4
26.9
0.3
1.6
2.9
0
0
93.4
11.6
27.6
1.4
0
0
14.3
0
4.2
0
49.3
0
39.2
42.4
22.3
82.7
1.2
0
77.7
67.6
83.2
38.7
3.9
0
3.4
0
0.7
85.4
0
0
Out-of-pocket
expenditure as %
of private
expenditure on health
2000
52.8
42.4
75.4
73.8
99.1
96.9
100
100
74.6
95.3
100
83.1
70.6
60.8
76.6
45.2
99.2
18.2
24.4
91.2
24.3
69.9
91.6
87.6
92.7
100
95.5
64.4
80.3
100
81.3
56.0
88.6
81.3
77.2
93.2
80.8
84.5
83.2
97.9
100
74.7
40.7
94.2
95.3
100
81.3
96.0
55.5
41.3
2007
67.9
28.4
73.2
72.0
99.5
89.2
100
100
81.5
93.1
100
81.4
84.4
57.1
86.3
42.1
95.1
5.8
84.4
90.8
33.5
71.7
93.0
96.4
95.9
100
95.1
61.3
82.1
40.3
82.7
41.3
97.0
75.3
83.7
83.2
77.5
88.2
79.2
97.6
98.8
83.0
44.4
94.4
94.4
100
76.1
96.3
58.9
32.2
Per capita health expenditures a
Private prepaid
plans as %
of private
expenditure on health
2000
10.8
9.1
11.9
0
0.1
3.1
0
0
8.3
4.7
0
16.9
0
0
23.4
1.0
0
77.3
0
0.1
43.0
28.5
0.6
11.3
5.1
0
0
21.3
0.2
0
18.7
5.5
10.9
15.0
11.1
0.8
11.1
0
8.5
0
0
8.1
0.9
5.8
4.7
0
0
4.0
0
18.3
2007
15.1
15.7
14.4
4.6
0.5
9.0
0
0
10.1
6.9
0
18.6
0
0
13.7
1.5
0
64.4
0
0.4
34.5
23.5
1.6
3.2
3.1
0
0
23.2
0.3
43.3
17.3
6.2
1.3
20.8
9.8
1.9
13.8
0
9.2
0.4
1.1
9.6
10.2
5.6
5.6
0
0
3.7
0
30.3
Per capita total
expenditure
on health at
average exchange
rate (US$)
2000
9
9
128
220
16
637
418
12
145
328
170
3 775
22
124
54
14
3
131
375
12
1 916
1 055
54
5
17
322
3 156
252
15
594
306
26
122
96
33
247
970
659
536
21
87
96
9
387
244
176
73
2 150
56
338
135
Per capita total
expenditure
on healthc
(PPP int. $)
2007
2000
2007
16
17
307
343
34
1 362
371
22
247
564
285
7 338
64
550
120
18
7
319
673
20
4 243
2 790
92
16
74
1 724
7 354
375
23
873
396
31
114
160
63
716
2 108
2 403
1 362
127
369
493
37
623
361
272
152
3 878
103
531
30
37
304
270
50
2 903
378
35
299
508
217
1 785
89
501
109
26
12
252
858
43
2 337
1 623
131
16
59
308
3 039
619
48
545
560
69
309
229
79
583
1 509
1 453
809
86
298
412
25
540
417
303
154
2 265
…
647
41
50
604
514
67
4 053
357
47
502
819
373
2 139
138
1 107
202
39
21
467
812
53
3 509
2 497
232
35
131
1 123
4 763
688
64
812
773
65
253
327
130
1 035
2 284
3 075
1 688
281
592
797
95
863
608
474
237
2 810
183
768
Per capita
government
expenditure on health
at average exchange
rate (US$)
2000
6
4
67
113
5
462
410
8
76
153
160
2 843
18
72
16
10
<1
90
273
3
1 209
823
29
3
6
316
2 604
206
3
529
208
21
49
57
16
173
704
453
240
10
59
57
4
233
143
113
52
1 849
20
276
Per capita
government
expenditure
on healthc
(PPP int. $)
2007
2000
2007
11
10
136
224
18
1 056
361
14
121
256
273
5 492
52
314
40
13
<1
134
477
8
3 481
2 202
51
9
19
1 706
6 184
296
7
685
256
25
48
94
22
507
1 489
1 816
748
65
296
316
18
360
195
166
129
3 317
48
422
20
16
159
140
16
2 104
370
25
156
236
204
1 345
71
291
32
19
2
174
624
11
1 474
1 266
70
9
20
303
2 507
506
10
485
381
57
124
134
37
408
1 095
1 000
363
43
202
247
10
326
244
194
109
1 948
…
529
27
30
268
336
34
3 140
348
31
246
372
357
1 601
112
633
68
28
2
196
575
21
2 878
1 971
127
18
33
1 111
4 005
542
19
637
500
53
107
191
45
733
1 613
2 324
927
142
475
512
45
499
330
290
200
2 404
86
610
Table 7
Health expenditure ratios a
7. Health expenditure
Health expenditure ratios a
Member State
Total expenditure on
health as % of gross
domestic product
2000
2007
General government
expenditure on health
as % of total
expenditure
on healthb
2000
2007
Private expenditure on
health as % of total
expenditure on healthb
2000
2007
General government
expenditure on health
as % of total
government
expenditure
2000
2007
External resources for
health as %
of total
expenditure on health
2000
2007
Senegal
Serbiau,y
Seychelles
Sierra Leoneg
Singapore
Slovakia
Slovenia
Solomon Islands
Somaliag
South Africad
Spain
Sri Lankad
Sudand,g
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republicz
Tajikistan
Thailandd
The former Yugoslav Republic of
Macedonia
4.4
10.3
5.3
4.9
3.5
6.6
8.3
5.2
2.6
8.5
7.2
3.7
3.1
7.5
5.7
8.2
10.2
4.8
4.6
3.4
7.6
5.7
9.9
5.1
4.4
3.1
7.7
7.8
4.6
…
8.6
8.5
4.2
3.5
7.6
6.0
9.1
10.8
3.6
5.3
3.7
7.1
37.5
78.5
75.3
43.0
36.2
85.0
74.0
91.6
44.8
40.5
71.6
47.9
29.2
48.8
58.6
84.9
55.4
40.4
20.4
56.1
70.9
56.0
61.8
70.2
31.3
32.6
66.8
71.5
92.4
…
41.4
71.8
47.5
36.8
47.4
62.5
81.7
59.3
45.9
21.5
73.2
65.6
62.5
21.5
24.7
57.0
63.8
15.0
26.0
8.4
55.2
59.5
28.4
52.1
70.8
51.2
41.4
15.1
44.6
59.6
79.6
43.9
29.1
44.0
38.2
29.8
68.7
67.4
33.2
28.3
7.6
…
58.6
28.2
52.5
63.2
52.6
37.5
18.3
40.7
54.1
78.5
26.8
34.4
8.8
20.9
8.4
7.6
6.2
27.7
13.1
17.9
4.2
10.9
13.2
6.8
8.3
9.7
11.6
12.6
16.0
6.5
4.9
10.0
15.8
12.1
13.8
8.9
7.8
7.2
29.9
13.2
15.4
…
10.8
15.6
8.5
6.1
13.3
9.1
14.1
19.8
6.0
3.6
13.1
14.1
17.2
0.8
5.6
19.6
0
0
0.2
14.8
9.0
0.3
0
0.3
4.7
10.9
5.5
0
0
0.1
2.3
0
3.2
8.5
0.4
2.2
31.3
0
0
0
43.6
…
0.8
0
1.7
10.2
1.8
7.9
0
0
0.3
7.8
0.3
1.0
Timor-Lesteaa,ab,ac
Togo
Tonga
Trinidad and Tobago
Tunisiad
Turkey
Turkmenistang,ad
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzaniad
United States of America
Uruguayd
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemend
Zambia
Zimbabweg
8.8
4.8
5.6
3.9
6.0
4.9
3.9
12.4
6.6
5.9
3.2
7.0
3.8
13.4
11.2
5.7
3.7
5.7
5.4
4.5
5.7
10.0
13.6
6.1
4.4
4.8
6.0
5.0
2.6
9.8
6.3
6.9
2.7
8.4
5.3
15.7
8.0
5.0
3.6
5.8
7.1
3.9
6.2
8.9
70.9
29.9
71.9
42.8
54.9
62.9
81.7
99.8
26.8
48.9
76.6
79.3
43.4
43.2
54.6
44.1
74.4
41.5
30.1
53.8
51.3
53.0
84.6
24.9
70.3
56.1
50.5
69.0
52.1
99.8
26.2
57.6
70.5
81.7
65.8
45.5
74.0
46.1
76.3
46.5
39.3
39.6
57.7
46.3
29.1
70.1
28.1
57.2
45.1
37.1
18.3
0.2
73.2
51.1
23.4
20.7
56.6
56.8
45.4
55.9
25.6
58.5
69.9
46.2
48.7
47.0
15.4
75.1
29.7
43.9
49.5
31.0
47.9
0.2
73.8
42.4
29.5
18.3
34.2
54.5
26.0
53.9
23.6
53.5
60.7
60.4
42.3
53.7
12.7
8.0
15.2
5.7
8.1
9.8
13.7
5.9
7.3
8.4
7.6
14.3
9.1
17.1
20.5
6.0
9.8
8.0
6.6
8.3
9.4
10.7
14.9
7.7
9.7
9.4
9.1
10.3
10.3
16.3
9.8
9.2
8.9
15.6
18.4
19.5
17.3
7.9
11.4
7.1
8.7
4.5
14.5
8.9
52.7
6.6
26.3
4.7
0.9
0.1
1.4
43.9
28.3
0.5
0
0
27.8
0
0.1
6.2
2.7
0.7
2.5
8.0
17.8
1.3
35.0
10.1
20.3
0.1
1.4
0
0.3
6.1
31.6
0.3
0
0
49.9
0
0.1
1.6
15.4
0
1.6
7.4
33.1
0.2
136
WORLD HEALTH STATISTICS
2010
Social security
expenditure on health
as % of general
government
expenditure on health
2000
2007
Out-of-pocket
expenditure as %
of private
expenditure on health
2000
2007
Per capita health expenditures a
Private prepaid
plans as %
of private
expenditure on health
2000
2007
Per capita total
expenditure
on health at
average exchange
rate (US$)
2000
Per capita total
expenditure
on healthc
(PPP int. $)
2007
2000
2007
Per capita
government
expenditure on health
at average exchange
rate (US$)
2000
Per capita
government
expenditure
on healthc
(PPP int. $)
2007
2000
2007
8.5
59.5
5.0
0
4.8
86.5
93.9
0
0
3.3
9.6
0.3
8.2
40.7
0
0
72.8
0
0
9.4
97.5
4.0
93.4
3.7
0
15.3
89.9
92.7
0
…
3.0
7.0
0.1
11.3
41.7
0
0
72.2
0
0
9.7
92.2
91.7
84.7
63.0
75.2
97.0
76.4
44.1
66.7
100
25.0
83.1
83.3
100
44.0
42.4
91.1
74.0
100
99.0
76.9
100
78.5
91.7
62.5
58.8
93.9
79.1
48.6
66.7
…
29.7
74.6
86.7
100
60.2
42.3
87.0
75.0
100
94.4
71.7
100
7.1
0
0
3.0
0
0
51.0
0
0
69.9
13.7
12.2
0
0.8
18.9
1.2
23.8
0
0
12.8
0
17.9
0.5
0
3.8
2.8
0
45.3
0
…
66.2
20.8
9.1
0
0.8
17.4
1.1
22.6
0
0
19.5
0
21
71
402
7
803
248
707
42
8
251
1 036
33
11
152
78
2 280
3 529
240
6
67
136
54
408
564
14
1 148
1 077
1 836
54
…
497
2 712
68
40
361
151
4 495
6 108
68
29
136
277
57
443
856
18
1 167
720
1 447
81
18
551
1 536
102
37
350
203
2 283
3 217
159
41
159
452
99
769
1 094
32
1 643
1 555
2 099
123
…
819
2 671
179
71
527
287
3 323
4 417
154
93
286
669
8
56
303
3
290
211
523
39
4
101
742
16
3
74
46
1 936
1 956
97
1
38
97
30
252
396
4
375
720
1 313
50
…
206
1 947
32
15
171
95
3 673
3 620
31
6
100
182
21
348
644
8
422
612
1 070
75
8
223
1 100
49
11
171
119
1 938
1 783
64
8
89
321
56
475
768
10
536
1 040
1 501
113
…
340
1 917
85
26
250
180
2 716
2 618
70
20
209
439
0
12.5
0
0
28.9
55.5
6.6
0
0
0
0
0
0
33.5
27.4
0
0
34.6
19.7
0
0
0
0
12.9
0
0
42.8
50.3
8.8
0
0
0.5
0
0
3.3
27.9
35.1
0
0
33.7
32.3
0
0
0
43.4
86.6
82.9
86.3
80.3
74.6
100
100
56.7
93.4
69.4
64.8
83.5
25.5
31.2
97.0
71.6
90.9
91.7
94.5
80.5
45.5
37.2
84.2
84.7
89.7
84.3
71.8
100
100
51.0
92.4
64.9
62.7
75.0
22.6
50.3
98.0
71.6
88.1
90.2
97.8
67.6
50.4
0
5.4
9.4
7.2
17.9
11.8
0
0
0.1
1.0
20.2
15.6
4.5
60.3
14.9
0
10.7
3.2
4.1
2.2
0.7
34.3
0
4.3
3.6
6.5
14.0
14.4
0
0
0.2
1.8
25.4
6.9
10.4
63.5
34.5
0
10.7
3.2
2.7
1.6
3.7
28.8
34
16
88
244
123
194
44
160
15
38
699
1 769
10
4 703
773
32
48
273
22
25
18
66
58
33
108
785
211
465
139
292
28
210
1 253
3 867
22
7 285
582
41
79
477
58
43
57
79
69
43
164
449
290
432
134
122
46
195
805
1 833
29
4 703
916
82
115
480
76
87
50
26
116
68
167
1 178
463
677
153
150
74
475
982
2 992
63
7 285
916
121
145
697
183
104
79
20
24
5
63
104
67
122
36
160
4
19
536
1 403
4
2 032
422
14
35
113
6
13
9
35
49
8
76
440
107
320
72
291
7
121
883
3 161
14
3 317
431
19
61
222
23
17
33
36
49
13
118
192
159
272
110
122
12
95
616
1 454
12
2 032
500
36
85
199
23
47
26
14
98
17
117
661
234
467
80
149
20
274
693
2 446
41
3 317
678
56
111
324
72
41
46
9
137
Table 7
Health expenditure ratios a
7. Health expenditure
Health expenditure ratios a
Member State
Total expenditure on
health as % of gross
domestic product
2000
2007
General government
expenditure on health
as % of total
expenditure
on healthb
2000
2007
Private expenditure on
health as % of total
expenditure on healthb
2000
2007
General government
expenditure on health
as % of total
government
expenditure
2000
2007
External resources for
health as %
of total
expenditure on health
2000
2007
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
1.4
5.8
20.3
1.9
6.1
19.1
1.1
57.0
99.8
11.0
60.3
99.8
0.2
43.0
98.9
0.2
39.7
89.0
0.4
9.8
27.7
0.9
10.8
32.1
0
2.2
71.6
0
1.4
74.9
5.9
12.0
3.7
8.4
4.2
6.8
6.2
13.6
3.6
8.8
4.1
6.5
43.5
44.8
31.2
75.3
52.8
72.7
45.3
47.2
36.9
76.0
55.5
67.8
56.5
55.2
68.8
24.7
47.2
27.3
54.7
52.8
63.1
24.0
44.5
32.2
8.7
15.5
4.8
14.3
7.3
14.9
9.6
17.1
5.3
15.3
7.5
15.1
5.4
0.1
0.9
0.1
1.0
0.1
6.9
0
1.7
0
1.8
0.1
4.7
4.4
6.2
10.2
5.3
4.3
6.4
11.2
37.6
37.0
52.0
59.4
41.9
42.4
55.2
61.3
62.4
63.0
48.0
40.6
58.1
57.6
44.8
38.7
7.9
7.5
8.9
15.6
8.7
7.8
9.4
17.2
10.2
1.1
0.6
0
17.5
1.0
0.2
0
9.2
9.7
57.9
59.6
42.1
40.4
14.5
15.4
0.1
0.2
WHO REGION
African Region
Region of the Americas
South-East Asia Region
European Region
Eastern Mediterranean Region
Western Pacific Region
INCOME GROUP
Low income
Lower middle income
Upper middle income
High income
GLOBAL
138
WORLD HEALTH STATISTICS
2010
Health expenditure ratios a
Social security
expenditure on health
as % of general
government
expenditure on health
2000
2007
Out-of-pocket
expenditure as %
of private
expenditure on health
2000
2007
Per capita health expenditures a
Private prepaid
plans as %
of private
expenditure on health
2000
2007
Per capita total
expenditure
on health at
average exchange
rate (US$)
2000
2007
Per capita total
expenditure
on healthc
(PPP int. $)
2000
2007
Per capita
government
expenditure on health
at average exchange
rate (US$)
2000
2007
Per capita
government
expenditure
on healthc
(PPP int. $)
2000
2007
0
2.0
98.4
18.2
86.8
100
5.3
84.4
100
0
1.7
77.3
0
3.6
66.2
3
110
4 703
7
248
7 439
8
270
4 703
17
434
7 285
<1
62
2 843
<1
136
6 763
<1
142
2 800
2
263
5 212
7.1
31.9
12.1
52.9
9.9
72.6
8.3
26.0
13.8
49.5
14.0
63.0
53.0
30.1
88.9
65.6
84.4
88.4
60.1
28.0
86.9
66.5
85.7
81.6
39.1
56.8
2.7
25.5
7.2
4.3
32.5
59.4
3.4
24.3
7.6
11.7
35
1 849
20
931
68
291
76
2 911
41
2 035
133
416
86
1 983
61
1 220
180
298
137
3 046
104
1 875
271
531
15
829
6
701
36
212
34
1 374
15
1 546
74
282
38
896
18
901
85
190
63
1 437
36
1 401
137
330
3.8
37.1
41.1
48.4
11.0
37.2
38.0
41.8
85.6
92.8
70.7
38.2
83.1
90.5
69.0
36.1
3.9
2.5
24.0
49.1
3.7
5.3
26.4
51.4
14
34
221
2 657
27
80
488
4 405
37
97
454
2 745
67
181
757
4 145
5
13
115
1 577
11
34
269
2 699
14
35
243
1 631
28
76
419
2 492
47.6
41.2
44.2
43.9
44.2
45.0
481
802
568
863
279
478
320
493
Table 7
0
1.0
100
139
Table 8
WORLD HEALTH STATISTICS
2010
Health inequities
In general, the global reporting of health indicators focuses on national averages. However, data on the distribution
of health and health services within countries and between population subgroups are equally important (Figure 14
and Box 7). Such data help to identify health inequities – unfair and avoidable differences in health and health service
provision – that arise for example from socioeconomic factors (such as level of education, occupation and household
wealth or income), from geographical location, and from ethnicity and gender.
This section presents data from 87 countries using three health indicators – percentage of births attended by
skilled health personnel, measles immunization coverage among 1-year-old children, and mortality in children
under 5 years old (under-five mortality) – disaggregated according to urban or rural residence, household wealth and
maternal educational level.
The main sources of the data are the Demographic and Health Surveys (DHS) and Multiple Indicator Cluster
Surveys (MICS), conducted between 2000 and 2008. For the disaggregations by household wealth, the total
population is classified into wealth quintiles based on relative differences in household wealth within the country
rather than an absolute wealth criterion. The estimates are subject to normal sample variability, which are usually
indicated by confidence intervals – however, only the point estimates are shown in this section.
The data presented refer to ratios and differences between the most-advantaged and least-advantaged groups.
However, these measures do not reflect the situation across all population groups (such as groups falling into the
middle of wealth or education distributions) for which other measures are used.
141
WORLD HEALTH STATISTICS
2010
Figure 14: Urban–rural differences in the coverage of skilled attendant at birth and measles immunization in low-income
and middle-income countries – 2000–2008
Births attended by skilled health personnel
Low income
Measles immunization coverage among 1-year olds
Middle income
Low income
Middle income
100
96
90
81
80
80
85
83
77
70
70
Percentage
60
50
40
35
30
20
10
0
Rural
Urban
Rural
Urban
Note: Solid horizontal lines indicate the median.
142
Rural
Urban
Rural
Urban
Table 8
WORLD HEALTH STATISTICS
2010
Box 7: Inequities in health service coverage
In Figure 14, each circle represents a country (note that circles may overlap). Three major conclusions can
be drawn from the data:
There are differences between rural and urban areas in coverage of key health services such as skilled
attendant at birth and measles immunization – these differences are more marked in low-income countries
compared with middle-income countries, and significantly more acute in relation to skilled attendant at
birth than to measles immunization.
In low-income countries, there are major differences between urban and rural areas in the coverage of
skilled attendant at birth – 80% of urban births take place with the assistance of skilled health personnel
compared with only 35% of births in rural areas. By contrast, urban–rural differences with regard to
measles immunization rates are less pronounced at 77% and 70%, respectively.
Within the low-income country group, there is very wide variation in both indicators – for example,
coverage of skilled attendant at birth in rural areas ranges from as low as 3% to as high as 100%.
143
8. Health inequities
Member State
Year
MDG 5
Births attended by skilled health personnel a,b (%)
2005
2006
2007
Difference highest–lowest
2005
Ratio highest–lowest
2005
2006
2004
Highest
2003
2005
2005
2004
Lowest
2008
2006
Difference highest–lowest
2006
2006
Ratio highest–lowest
2005
Highest
2007
Lowest
2006
Difference urban–rural
2005
Ratio urban–rural
2005
2006
Education level
of mothere
Urban
Afghanistan
Albaniaf
Algeriaf
Andorra
Angola
Antigua and Barbuda
Argentina
Armeniag
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarusf
Belgium
Belizef
Benin
Bhutan
Bolivia (Plurinational State of)h
Bosnia and Herzegovinaf
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundif
Cambodia
Cameroon
Canada
Cape Verdeh
Central African Republicf
Chad
Chile
China
Colombia
Comoros
Congo
Cook Islands
Costa Rica
Côte d'Ivoiref
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
Wealth
quintile
Rural
Place of
residence
…
100
92
…
…
…
…
98
…
…
81
…
…
13
…
100
…
93
74
…
51
100
…
…
…
…
31
32
39
44
…
64
35
6
…
…
77
…
74
…
…
40
…
…
…
…
…
63
…
…
100
98
…
…
…
…
99
…
…
97
…
…
37
…
100
…
99
86
…
88
100
…
…
…
…
88
75
70
84
…
91
83
46
…
…
97
…
97
…
…
84
…
…
…
…
…
91
…
…
1.0
1.1
…
…
…
…
1.0
…
…
1.2
…
…
2.8
…
1.0
…
1.1
1.2
…
1.7
1.0
…
…
…
…
2.9
2.4
1.8
1.9
…
1.4
2.4
7.1
…
…
1.3
…
1.3
…
…
2.1
…
…
…
…
…
1.4
…
…
0
6
…
…
…
…
1
…
…
16
…
…
23
…
0
…
7
12
…
37
0
…
…
…
…
57
43
31
40
…
27
48
39
…
…
20
…
23
…
…
44
…
…
…
…
…
28
…
…
99
…
…
…
…
…
93
…
…
78
…
…
5
…
100
…
…
56
…
38
99
…
…
…
…
39
25
21
29
…
…
27
4
…
…
72
…
67
…
…
29
…
…
…
…
…
59
…
…
100
…
…
…
…
…
100
…
…
100
…
…
51
…
100
…
…
97
…
99
100
…
…
…
…
91
55
90
95
…
…
89
55
…
…
99
…
98
…
…
95
…
…
…
…
…
98
…
…
1.0
…
…
…
…
…
1.1
…
…
1.3
…
…
10.3
…
1.0
…
…
1.7
…
2.6
1.0
…
…
…
…
2.3
2.2
4.3
3.2
…
…
3.3
15.4
…
…
1.4
…
1.5
…
…
3.3
…
…
…
…
…
1.7
…
…
1
…
…
…
…
…
7
…
…
22
…
…
46
…
0
…
…
42
…
61
0
…
…
…
…
52
30
69
65
…
…
62
52
…
…
27
…
32
…
…
66
…
…
…
…
…
39
…
…
…
…
…
…
…
…
…
…
…
83
…
…
5
…
…
…
…
72
…
…
…
…
…
…
…
33
30
22
23
…
…
34
9
…
…
67
…
62
…
…
47
…
…
…
…
…
59
…
…
…
…
…
…
…
…
…
…
…
89
…
…
33
…
…
…
…
98
…
…
…
…
…
…
…
95
84
80
92
…
…
88
67
…
…
97
…
93
…
…
87
…
…
…
…
…
89
…
…
…
…
…
…
…
…
…
…
…
1.1
…
…
7.4
…
…
…
…
1.4
…
…
…
…
…
…
…
2.9
2.8
3.6
4.0
…
…
2.6
7.2
…
…
1.4
…
1.5
…
…
1.8
…
…
…
…
…
1.5
…
…
…
…
…
…
…
…
…
…
…
5
…
…
29
…
…
…
…
26
…
…
…
…
…
…
…
62
54
58
69
…
…
55
57
…
…
30
…
30
…
…
40
…
…
…
…
…
29
…
144
WORLD HEALTH STATISTICS
2010
MDG 4 Under-five mortality ratea,d
(probability of dying by age 5 per 1000 live births)
Measles immunization coverage
among 1-year-olds a,c (%)
Highest
Ratio highest–lowest
Difference highest–lowest
Lowest
Highest
Ratio highest–lowest
Difference highest–lowest
Rural
Urban
Ratio rural–urban
Difference rural–urban
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Education level
of mothere
Lowest
Wealth quintile
Difference urban–rural
Place of
residence
Ratio urban–rural
Education level
of mothere
Urban
Wealth quintile
Rural
Place of
residence
…
…
…
…
…
…
…
80
…
…
44
…
…
82
…
99
…
79
57
…
87
80
…
…
…
…
53
78
77
58
…
87
…
19
…
…
76
…
57
…
…
78
…
…
…
…
…
56
…
…
…
…
…
…
…
…
67
…
…
64
…
…
88
…
98
…
91
68
…
85
74
…
…
…
…
73
85
79
73
…
90
…
38
…
…
85
…
76
…
…
94
…
…
…
…
…
73
…
…
…
…
…
…
…
…
0.8
…
…
1.5
…
…
1.1
…
1.0
…
1.2
1.2
…
1.0
0.9
…
…
…
…
1.4
1.1
1.0
1.2
…
1.0
…
2.0
…
…
1.1
…
1.3
…
…
1.2
…
…
…
…
…
1.3
…
…
…
…
…
…
…
…
–13
…
…
20
…
…
6
…
–1
…
12
11
…
–2
–6
…
…
…
…
20
7
3
14
…
3
…
18
…
…
9
…
20
…
…
16
…
…
…
…
…
17
…
…
…
…
…
…
…
…
72
…
…
50
…
…
80
…
100
…
…
48
…
88
72
…
…
…
…
48
77
70
52
…
…
…
8
…
…
69
…
49
…
…
69
…
…
…
…
…
51
…
…
…
…
…
…
…
…
(62)
…
…
83
…
…
89
…
98
…
…
76
…
88
76
…
…
…
…
71
79
82
83
…
…
…
38
…
…
90
…
84
…
…
98
…
…
…
…
…
85
…
…
…
…
…
…
…
…
0.8
…
…
1.7
…
…
1.1
…
1.0
…
…
1.6
…
1.0
1.1
…
…
…
…
1.5
1.0
1.2
1.6
…
…
…
4.6
…
…
1.3
…
1.7
…
…
1.4
…
…
…
…
…
1.7
…
…
…
…
…
…
…
…
–11
…
…
34
…
…
9
…
–2
…
…
28
…
0
4
…
…
…
…
23
3
13
31
…
…
…
30
…
…
21
…
36
…
…
29
…
…
…
…
…
34
…
…
…
…
…
…
…
…
…
…
…
46
…
…
74
…
…
…
…
57
…
…
…
…
…
…
…
54
74
64
46
…
…
…
18
…
…
70
…
44
…
…
80
…
…
…
…
…
49
…
…
…
…
…
…
…
…
…
…
…
55
…
…
90
…
…
…
…
82
…
…
…
…
…
…
…
80
87
91
79
…
…
…
54
…
…
86
…
75
…
…
95
…
…
…
…
…
77
…
…
…
…
…
…
…
…
…
…
…
1.2
…
…
1.2
…
…
…
…
1.5
…
…
…
…
…
…
…
1.5
1.2
1.4
1.7
…
…
…
3.0
…
…
1.2
…
1.7
…
…
1.2
…
…
…
…
…
1.6
…
…
…
…
…
…
…
…
…
…
…
9
…
…
16
…
…
…
…
26
…
…
…
…
…
…
…
26
13
27
33
…
…
…
36
…
…
16
…
31
…
…
16
…
…
…
…
…
28
…
…
19
…
…
…
…
…
42
…
…
64
…
…
77
…
…
…
27
145
…
99
…
…
…
…
…
202
178
111
169
…
44
199
208
…
…
33
…
136
…
…
…
…
…
…
…
…
177
…
…
20
…
…
…
…
…
26
…
…
52
…
…
63
…
…
…
26
116
…
55
…
…
…
…
…
136
137
76
119
…
53
126
179
…
…
23
…
108
…
…
…
…
…
…
…
…
122
…
…
1.0
…
…
…
…
…
1.6
…
…
1.2
…
…
1.2
…
…
…
1.0
1.3
…
1.8
…
…
…
…
…
1.5
1.3
1.5
1.4
…
0.8
1.6
1.2
…
…
1.4
…
1.3
…
…
…
…
…
…
…
…
1.5
…
…
–1
…
…
…
…
…
16
…
…
12
…
…
14
…
…
…
1
30
…
44
…
…
…
…
…
65
41
35
50
…
–9
73
28
…
…
10
…
28
…
…
…
…
…
…
…
…
55
…
…
…
…
…
…
…
…
52
…
…
63
…
…
86
…
…
…
…
151
…
116
…
…
…
…
…
206
190
127
189
…
…
223
176
…
…
39
…
135
…
…
…
…
…
…
…
…
184
…
…
…
…
…
…
…
…
23
…
…
41
…
…
43
…
…
…
…
83
…
31
…
…
…
…
…
144
128
43
88
…
…
112
187
…
…
16
…
85
…
…
…
…
…
…
…
…
97
…
…
…
…
…
…
…
…
2.2
…
…
1.5
…
…
2.0
…
…
…
…
1.8
…
3.7
…
…
…
…
…
1.4
1.5
3.0
2.2
…
…
2.0
0.9
…
…
2.4
…
1.6
…
…
…
…
…
…
…
…
1.9
…
…
…
…
…
…
…
…
29
…
…
22
…
…
43
…
…
…
…
68
…
85
…
…
…
…
…
62
62
84
101
…
…
111
–11
…
…
23
…
51
…
…
…
…
…
…
…
…
87
…
…
…
…
…
…
…
…
…
…
…
68
…
…
93
…
…
…
…
143
…
…
…
…
…
…
…
198
195
136
186
…
…
187
200
…
…
51
…
202
…
…
…
…
…
…
…
…
209
…
…
…
…
…
…
…
…
…
…
…
58
…
…
52
…
…
…
…
78
…
…
…
…
…
…
…
108
55
53
93
…
…
107
143
…
…
20
…
101
…
…
…
…
…
…
…
…
112
…
…
…
…
…
…
…
…
…
…
…
1.2
…
…
1.8
…
…
…
…
1.8
…
…
…
…
…
…
…
1.8
3.5
2.6
2.0
…
…
1.7
1.4
…
…
2.5
…
2.0
…
…
…
…
…
…
…
…
1.9
…
…
…
…
…
…
…
…
…
…
…
10
…
…
41
…
…
…
…
65
…
…
…
…
…
…
…
90
140
83
92
…
…
80
57
…
…
30
…
101
…
…
…
…
…
…
…
…
97
…
145
Table 8
MDG 4
8. Health inequities
Member State
Year
MDG 5
Births attended by skilled health personnel a,b (%)
2005
2007
2006
2003
2006
2006
2004
2007
Difference highest–lowest
2006
Ratio highest–lowest
2005–2006
2007
Highest
2005
2006
2006
2005–2006
2005–2006
Lowest
2008
Difference highest–lowest
2000
2006
2005
Ratio highest–lowest
2005
Highest
2002
Lowest
2008
Difference urban–rural
2007
Ratio urban–rural
2006
Education level
of mothere
Urban
Djiboutif
Dominica
Dominican Republic
Ecuador
Egypth
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambiaf
Georgiaf
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissauf
Guyanaf
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraqf
Ireland
Israel
Italy
Jamaicaf
Japan
Jordan
Kazakhstanf
Kenya
Kiribati
Kuwait
Kyrgyzstanf
Lao People's Democratic Republicf
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
Wealth
quintile
Rural
Place of
residence
40
…
94
…
72
…
…
10
…
3
…
…
…
69
43
98
…
43
…
…
…
26
27
82
15
50
…
…
37
63
…
78
…
…
…
94
…
99
100
35
…
…
96
11
…
…
50
32
…
95
…
96
…
90
…
…
65
…
45
…
…
…
93
83
99
…
84
…
…
…
81
69
89
47
90
…
…
73
88
…
95
…
…
…
99
…
99
100
72
…
…
100
68
…
…
88
79
…
2.3
…
1.0
…
1.2
…
…
6.2
…
16.6
…
…
…
1.3
1.9
1.0
…
2.0
…
…
…
3.1
2.6
1.1
3.0
1.8
…
…
2.0
1.4
…
1.2
…
…
…
1.0
…
1.0
1.0
2.1
…
…
1.0
6.2
…
…
1.8
2.5
…
54
…
2
…
18
…
…
54
…
42
…
…
…
24
40
1
…
41
…
…
…
55
42
7
31
40
…
…
36
25
…
17
…
…
…
4
…
1
0
38
…
…
4
57
…
…
38
47
…
…
…
89
…
55
…
…
6
…
1
…
…
…
67
28
95
…
24
…
…
…
15
19
64
6
33
…
…
19
44
…
…
…
…
…
…
…
98
100
17
…
…
93
3
…
…
34
26
…
…
…
98
…
97
…
…
85
…
27
…
…
…
97
89
99
…
95
…
…
…
87
79
93
68
99
…
…
89
96
…
…
…
…
…
…
…
100
100
75
…
…
100
81
…
…
83
81
…
…
…
1.1
…
1.8
…
…
14.7
…
29.7
…
…
…
1.4
3.1
1.0
…
3.9
…
…
…
6.0
4.0
1.5
10.5
3.0
…
…
4.6
2.2
…
…
…
…
…
…
…
1.0
1.0
4.4
…
…
1.1
27.1
…
…
2.5
3.2
…
…
…
9
…
42
…
…
79
…
26
…
…
…
30
60
3
…
70
…
…
…
73
59
29
61
65
…
…
69
52
…
…
…
…
…
…
…
2
0
58
…
…
7
78
…
…
50
56
…
…
…
86
…
60
…
…
12
…
2
…
…
…
84
49
…
…
36
…
…
…
33
28
…
9
37
…
…
26
31
…
79
…
…
…
…
…
94
…
16
…
…
…
3
…
…
21
36
…
…
…
97
…
89
…
…
88
…
58
…
…
…
93
85
…
…
78
…
…
…
84
80
…
60
96
…
…
75
87
…
96
…
…
…
…
…
99
…
72
…
…
…
63
…
…
73
75
…
…
…
1.1
…
1.5
…
…
7.3
…
24.0
…
…
…
1.1
1.7
…
…
2.2
…
…
…
2.6
2.9
…
6.6
2.6
…
…
2.9
2.8
…
1.2
…
…
…
…
…
1.1
…
4.6
…
…
…
18.5
…
…
3.5
2.1
…
…
…
12
…
29
…
…
76
…
55
…
…
…
9
36
…
…
42
…
…
…
51
52
…
51
59
…
…
49
56
…
17
…
…
…
…
…
5
…
56
…
…
…
59
…
…
52
39
…
146
WORLD HEALTH STATISTICS
2010
MDG 4 Under-five mortality ratea,d
(probability of dying by age 5 per 1000 live births)
Measles immunization coverage
among 1-year-olds a,c (%)
Highest
Ratio highest–lowest
Difference highest–lowest
Lowest
Highest
Ratio highest–lowest
Difference highest–lowest
Rural
Urban
Ratio rural–urban
Difference rural–urban
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Education level
of mothere
Lowest
Wealth quintile
Difference urban–rural
Place of
residence
Ratio urban–rural
Education level
of mothere
Urban
Wealth quintile
Rural
Place of
residence
…
…
81
…
98
…
…
79
…
32
…
…
…
37
93
…
…
88
…
…
…
49
72
96
56
86
…
…
54
73
…
60
…
…
…
95
…
91
99
70
…
…
…
38
…
…
84
56
…
…
…
78
…
98
…
…
94
…
65
…
…
…
61
91
…
…
93
…
…
…
55
83
95
62
84
…
…
72
82
…
76
…
…
…
88
…
95
100
86
…
…
…
54
…
…
91
77
…
…
…
1.0
…
1.0
…
…
1.2
…
2.0
…
…
…
1.6
1.0
…
…
1.1
…
…
…
1.1
1.2
1.0
1.1
1.0
…
…
1.3
1.1
…
1.3
…
…
…
0.9
…
1.0
1.0
1.2
…
…
…
1.4
…
…
1.1
1.4
…
…
…
–3
…
0
…
…
15
…
33
…
…
…
24
–3
…
…
5
…
…
…
6
11
–1
6
–2
…
…
18
10
…
16
…
…
…
–7
…
4
0
16
…
…
…
17
…
…
7
20
…
…
…
73
…
98
…
…
80
…
25
…
…
…
34
95
…
…
88
…
…
…
42
70
94
50
85
…
…
40
63
…
…
…
…
…
…
…
92
100
55
…
…
…
33
…
…
82
45
…
…
…
87
…
99
…
…
95
…
53
…
…
…
71
91
…
…
95
…
…
…
57
90
100
67
86
…
…
85
85
…
…
…
…
…
…
…
96
99
88
…
…
…
60
…
…
85
86
…
…
…
1.2
…
1.0
…
…
1.2
…
2.1
…
…
…
2.1
1.0
…
…
1.1
…
…
…
1.4
1.3
1.1
1.3
1.0
…
…
2.1
1.3
…
…
…
…
…
…
…
1.0
1.0
1.6
…
…
…
1.8
…
…
1.0
1.9
…
…
…
14
…
2
…
…
15
…
28
…
…
…
37
–3
…
…
7
…
…
…
15
20
6
17
0
…
…
45
22
…
…
…
…
…
…
…
4
–1
33
…
…
…
27
…
…
3
41
…
…
…
53
…
98
…
…
77
…
30
…
…
…
42
92
…
…
86
…
…
…
48
72
…
52
81
…
…
41
49
…
60
…
…
…
…
…
85
…
51
…
…
…
31
…
…
74
58
…
…
…
83
…
99
…
…
96
…
63
…
…
…
64
95
…
…
93
…
…
…
68
87
…
68
86
…
…
80
83
…
79
…
…
…
…
…
95
…
85
…
…
…
55
…
…
85
78
…
…
…
1.6
…
1.0
…
…
1.2
…
2.1
…
…
…
1.5
1.0
…
…
1.1
…
…
…
1.4
1.2
…
1.3
1.1
…
…
2.0
1.7
…
1.3
…
…
…
…
…
1.1
…
1.7
…
…
…
1.8
…
…
1.1
1.3
…
…
…
30
…
1
…
…
19
…
33
…
…
…
22
2
…
…
7
…
…
…
20
15
…
16
5
…
…
39
34
…
19
…
…
…
…
…
10
…
34
…
…
…
24
…
…
11
20
…
73
…
37
…
36
…
…
117
…
135
…
…
…
100
150
45
…
91
…
…
…
204
253
50
114
43
…
…
94
60
…
41
…
…
…
25
…
27
43
117
…
…
50
…
…
…
105
146
…
95
…
37
…
29
…
…
86
…
98
…
…
…
88
96
24
…
75
…
…
…
133
250
34
78
29
…
…
61
38
…
41
…
…
…
36
…
22
30
94
…
…
35
…
…
…
86
132
…
0.8
…
1.0
…
1.3
…
…
1.4
…
1.4
…
…
…
1.1
1.6
1.9
…
1.2
…
…
…
1.5
1.0
1.5
1.5
1.5
…
…
1.5
1.6
…
1.0
…
…
…
0.7
…
1.2
1.4
1.3
…
…
1.4
…
…
…
1.2
1.1
…
–22
…
1
…
8
…
…
31
…
37
…
…
…
12
54
21
…
16
…
…
…
71
3
16
36
14
…
…
33
22
…
0
…
…
…
–11
…
5
12
23
…
…
15
…
…
…
18
15
…
…
…
53
…
49
…
…
100
…
130
…
…
…
93
158
…
…
103
…
…
…
217
…
…
125
50
…
…
118
77
…
…
…
…
…
…
…
30
…
149
…
…
…
…
…
…
113
138
…
…
…
28
…
19
…
…
65
…
92
…
…
…
55
72
…
…
60
…
…
…
113
…
…
55
20
…
…
39
32
…
…
…
…
…
…
…
27
…
91
…
…
…
…
…
…
82
117
…
…
…
1.9
…
2.6
…
…
1.5
…
1.4
…
…
…
1.7
2.2
…
…
1.7
…
…
…
1.9
…
…
2.3
2.5
…
…
3.0
2.4
…
…
…
…
…
…
…
1.1
…
1.6
…
…
…
…
…
…
1.4
1.2
…
…
…
25
…
30
…
…
35
…
38
…
…
…
38
86
…
…
43
…
…
…
104
…
…
70
30
…
…
78
46
…
…
…
…
…
…
…
3
…
58
…
…
…
…
…
…
31
21
…
…
…
57
…
44
…
…
121
…
139
…
…
…
112
140
…
…
103
…
…
…
194
…
…
123
55
…
…
106
94
…
49
…
…
…
…
…
…
…
127
…
…
…
…
…
…
161
151
…
…
…
29
…
25
…
…
59
…
54
…
…
…
87
66
…
…
67
…
…
…
92
…
…
65
20
…
…
49
38
…
37
…
…
…
…
…
…
…
63
…
…
…
…
…
…
82
119
…
…
…
2.0
…
1.8
…
…
2.1
…
2.6
…
…
…
1.3
2.1
…
…
1.5
…
…
…
2.1
…
…
1.9
2.8
…
…
2.2
2.5
…
1.3
…
…
…
…
…
…
…
2.0
…
…
…
…
…
…
2.0
1.3
…
…
…
28
…
19
…
…
62
…
85
…
…
…
25
74
…
…
35
…
…
…
102
…
…
57
35
…
…
57
56
…
12
…
…
…
…
…
…
…
64
…
…
…
…
…
…
79
33
…
147
Table 8
MDG 4
8. Health inequities
Member State
Year
MDG 5
Births attended by skilled health personnel a,b (%)
2007–2008
Difference highest–lowest
2005
Ratio highest–lowest
2004–2005
2003
Highest
2006–2007
Lowest
2001
2006
2008
Difference highest–lowest
2006
Ratio highest–lowest
2006–2007
Highest
2005
2005
2003–2004
2003
Lowest
2007
Difference urban–rural
2006
Ratio urban–rural
2003–2004
2004
Education level
of mothere
Urban
Lithuania
Luxembourg
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritaniaf
Mauritius
Mexico
Micronesia (Federated States of)
Monaco
Mongoliaf
Montenegrof,g
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeriah
Niue
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peruh
Philippines
Poland
Portugal
Qatar
Republic of Korea
Republic of Moldovag
Romania
Russian Federation
Rwandah
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
Wealth
quintile
Rural
Place of
residence
…
…
40
53
…
…
38
…
…
39
…
…
…
…
99
98
40
34
…
74
…
19
…
…
83
8
28
…
…
…
30
…
…
…
…
43
41
…
…
…
…
99
…
…
49
…
…
…
…
…
…
71
84
…
…
80
…
…
90
…
…
…
…
100
100
85
81
…
94
…
52
…
…
97
71
65
…
…
…
60
…
…
…
…
92
79
…
…
…
…
100
…
…
70
…
…
…
…
…
…
1.8
1.6
…
…
2.1
…
…
2.3
…
…
…
…
1.0
1.0
2.2
2.4
…
1.3
…
2.8
…
…
1.2
8.5
2.4
…
…
…
2.0
…
…
…
…
2.1
1.9
…
…
…
…
1.0
…
…
1.4
…
…
…
…
…
…
31
31
…
…
42
…
…
51
…
…
…
…
1
2
46
47
…
20
…
33
…
…
13
62
38
…
…
…
30
…
…
…
…
49
38
…
…
…
…
0
…
…
21
…
…
…
…
…
…
30
47
…
…
35
…
…
21
…
…
…
…
98
98
30
25
…
60
…
5
…
…
78
5
8
…
…
…
16
…
…
…
…
28
25
…
…
…
…
99
…
…
43
…
…
…
…
…
…
94
85
…
…
86
…
…
95
…
…
…
…
100
100
95
89
…
98
…
58
…
…
99
59
86
…
…
…
77
…
…
…
…
100
92
…
…
…
…
100
…
…
71
…
…
…
…
…
…
3.1
1.8
…
…
2.5
…
…
4.6
…
…
…
…
1.0
1.0
3.2
3.6
…
1.6
…
12.0
…
…
1.3
11.8
10.3
…
…
…
4.8
…
…
…
…
3.5
3.7
…
…
…
…
1.0
…
…
1.7
…
…
…
…
…
…
64
38
…
…
51
…
…
75
…
…
…
…
2
3
66
64
…
38
…
53
…
…
22
54
77
…
…
…
61
…
…
…
…
72
67
…
…
…
…
1
…
…
28
…
…
…
…
…
…
22
43
…
…
44
…
…
45
…
…
…
…
…
…
49
31
…
50
…
11
…
…
77
13
…
…
…
…
27
…
…
…
…
…
11
…
…
…
…
100
…
…
39
…
…
…
…
…
…
81
83
…
…
92
…
…
92
…
…
…
…
…
…
94
95
…
92
…
53
…
…
98
81
…
…
…
…
74
…
…
…
…
…
72
…
…
…
…
100
…
…
82
…
…
…
…
…
…
3.7
2.0
…
…
2.1
…
…
2.0
…
…
…
…
…
…
1.9
3.0
…
1.8
…
4.7
…
…
1.3
6.1
…
…
…
…
2.8
…
…
…
…
…
6.5
…
…
…
…
1.0
…
…
2.1
…
…
…
…
…
…
59
41
…
…
48
…
…
47
…
…
…
…
…
…
46
63
…
42
…
41
…
…
21
67
…
…
…
…
47
…
…
…
…
…
61
…
…
…
…
–1
…
…
43
…
…
…
…
148
WORLD HEALTH STATISTICS
2010
MDG 4 Under-five mortality ratea,d
(probability of dying by age 5 per 1000 live births)
Measles immunization coverage
among 1-year-olds a,c (%)
Highest
Ratio highest–lowest
Difference highest–lowest
Lowest
Highest
Ratio highest–lowest
Difference highest–lowest
Rural
Urban
Ratio rural–urban
Difference rural–urban
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Education level
of mothere
Lowest
Wealth quintile
Difference urban–rural
Place of
residence
Ratio urban–rural
Education level
of mothere
Urban
Wealth quintile
Rural
Place of
residence
…
…
56
78
…
…
66
…
…
79
…
…
…
…
86
82
86
71
…
82
…
85
…
…
74
42
34
…
…
…
56
…
…
…
…
87
78
…
…
…
…
92
…
…
90
…
…
…
…
…
…
74
87
…
…
76
…
…
72
…
…
…
…
90
84
94
91
…
86
…
89
…
…
77
72
59
…
…
…
69
…
…
…
…
88
82
…
…
…
…
88
…
…
92
…
…
…
…
…
…
1.3
1.1
…
…
1.2
…
…
0.9
…
…
…
…
1.0
1.0
1.1
1.3
…
1.0
…
1.1
…
…
1.0
1.7
1.8
…
…
…
1.2
…
…
…
…
1.0
1.1
…
…
…
…
1.0
…
…
1.0
…
…
…
…
…
…
18
9
…
…
10
…
…
–7
…
…
…
…
4
3
8
20
…
4
…
4
…
…
3
30
25
…
…
…
13
…
…
…
…
1
4
…
…
…
…
–4
…
…
2
…
…
…
…
…
…
38
67
…
…
68
…
…
67
…
…
…
…
88
(83)
83
61
…
70
…
73
…
…
76
32
17
…
…
…
36
…
…
…
…
86
70
…
…
…
…
(91)
…
…
89
…
…
…
…
…
…
84
88
…
…
78
…
…
79
…
…
…
…
91
(78)
98
96
…
95
…
95
…
…
94
74
75
…
…
…
76
…
…
…
…
90
89
…
…
…
…
91
…
…
92
…
…
…
…
…
…
2.2
1.3
…
…
1.2
…
…
1.2
…
…
…
…
1.0
0.9
1.2
1.6
…
1.4
…
1.3
…
…
1.2
2.3
4.3
…
…
…
2.1
…
…
…
…
1.0
1.3
…
…
…
…
1.0
…
…
1.0
…
…
…
…
…
…
46
21
…
…
11
…
…
12
…
…
…
…
3
–4
15
36
…
25
…
21
…
…
18
41
58
…
…
…
39
…
…
…
…
4
20
…
…
…
…
0
…
…
3
…
…
…
…
…
…
36
72
…
…
66
…
…
70
…
…
…
…
…
…
88
66
…
57
…
78
…
…
69
43
…
…
…
…
51
…
…
…
…
…
46
…
…
…
…
…
…
…
86
…
…
…
…
…
…
85
94
…
…
90
…
…
80
…
…
…
…
…
…
96
99
…
91
…
99
…
…
73
84
…
…
…
…
81
…
…
…
…
…
83
…
…
…
…
…
…
…
95
…
…
…
…
…
…
2.4
1.3
…
…
1.4
…
…
1.1
…
…
…
…
…
…
1.1
1.5
…
1.6
…
1.3
…
…
1.0
2.0
…
…
…
…
1.6
…
…
…
…
…
1.8
…
…
…
…
…
…
…
1.1
…
…
…
…
…
…
49
22
…
…
24
…
…
10
…
…
…
…
…
…
9
34
…
34
…
21
…
…
3
42
…
…
…
…
31
…
…
…
…
…
38
…
…
…
…
…
…
…
9
…
…
…
…
…
…
120
164
…
…
234
…
…
127
…
…
…
…
69
…
69
192
…
76
…
84
…
…
55
231
191
…
…
…
100
…
…
…
…
52
52
…
…
…
…
30
…
…
142
…
…
…
…
…
…
73
116
…
…
158
…
…
114
…
…
…
…
31
…
38
143
…
60
…
47
…
…
34
139
121
…
…
…
78
…
…
…
…
31
30
…
…
…
…
20
…
…
87
…
…
…
…
…
…
1.6
1.4
…
…
1.5
…
…
1.1
…
…
…
…
2.2
…
1.8
1.3
…
1.3
…
1.8
…
…
1.6
1.7
1.6
…
…
…
1.3
…
…
…
…
1.7
1.7
…
…
…
…
1.5
…
…
1.6
…
…
…
…
…
…
47
48
…
…
76
…
…
14
…
…
…
…
38
…
31
49
…
16
…
36
…
…
21
91
70
…
…
…
21
…
…
…
…
21
22
…
…
…
…
9
…
…
55
…
…
…
…
…
…
142
183
…
…
233
…
…
144
…
…
…
…
…
…
78
196
…
92
…
98
…
…
64
206
219
…
…
…
121
…
…
…
…
63
66
…
…
…
…
29
…
…
161
…
…
…
…
…
…
49
111
…
…
124
…
…
87
…
…
…
…
…
…
26
108
…
30
…
47
…
…
19
157
87
…
…
…
60
…
…
…
…
11
21
…
…
…
…
17
…
…
84
…
…
…
…
…
…
2.9
1.6
…
…
1.9
…
…
1.6
…
…
…
…
…
…
3.0
1.8
…
3.1
…
2.1
…
…
3.3
1.3
2.5
…
…
…
2.0
…
…
…
…
5.7
3.2
…
…
…
…
1.7
…
…
1.9
…
…
…
…
…
…
92
72
…
…
110
…
…
57
…
…
…
…
…
…
52
88
…
63
…
51
…
…
45
49
132
…
…
…
61
…
…
…
…
52
46
…
…
…
…
12
…
…
77
…
…
…
…
…
…
149
183
…
…
223
…
…
118
…
…
…
…
…
…
63
201
…
79
…
93
…
…
72
222
…
…
…
…
102
…
…
…
…
…
105
…
…
…
…
…
…
…
174
…
…
…
…
…
…
65
86
…
…
102
…
…
89
…
…
…
…
…
…
27
86
…
54
…
32
…
…
25
92
…
…
…
…
62
…
…
…
…
…
29
…
…
…
…
…
…
…
43
…
…
…
…
…
…
2.3
2.1
…
…
2.2
…
…
1.3
…
…
…
…
…
…
2.3
2.3
…
1.5
…
2.9
…
…
2.9
2.4
…
…
…
…
1.6
…
…
…
…
…
3.7
…
…
…
…
…
…
…
4.0
…
…
…
…
…
…
83
97
…
…
122
…
…
29
…
…
…
…
…
…
36
115
…
25
…
60
…
…
47
130
…
…
…
…
40
…
…
…
…
…
76
…
…
…
…
…
…
…
131
…
…
…
…
149
Table 8
MDG 4
8. Health inequities
Member State
Year
MDG 5
Births attended by skilled health personnel a,b (%)
2002
2006
2007
2005–2006
Difference highest–lowest
2006
Ratio highest–lowest
2004–2005
Highest
2006
2007
Lowest
2006
2006
2003
2000
Difference highest–lowest
2006
Ratio highest–lowest
2006
2005
2005–2006
2005–2006
Highest
2006–2007
Lowest
2006
2003
Difference urban–rural
2008
Ratio urban–rural
Timor-Leste
Togof
Tonga
Trinidad and Tobagof,g
Tunisiaf
Turkeyh
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzania
United States of America
Uruguay
Uzbekistanf
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nami
Yemenf
Zambia
Zimbabwe
2005
2005
Education level
of mothere
Urban
San Marino
Sao Tome and Principe
Saudi Arabia
Senegal
Serbiaf
Seychelles
Sierra Leoneh
Singapore
Slovakia
Slovenia
Solomon Islands
Somaliaf
South Africah
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republicf
Tajikistanf
Thailandf
The former Yugoslav Republic of
Macedoniaf
Wealth
quintile
Rural
Place of
residence
…
…
…
33
99
…
33
…
…
…
…
15
85
…
…
…
…
70
…
…
88
81
97
98
…
…
…
85
99
…
67
…
…
…
…
65
94
…
…
…
…
88
…
…
98
89
99
98
…
…
…
2.5
1.0
…
2.0
…
…
…
…
4.5
1.1
…
…
…
…
1.3
…
…
1.1
1.1
1.0
1.0
…
…
…
51
0
…
34
…
…
…
…
51
9
…
…
…
…
18
…
…
9
8
3
0
…
…
…
20
98
…
28
…
…
…
…
11
…
…
…
…
…
51
…
…
78
70
93
95
…
…
…
89
100
…
71
…
…
…
…
77
…
…
…
…
…
92
…
…
99
91
100
100
…
…
…
4.4
1.0
…
2.5
…
…
…
…
7.2
…
…
…
…
…
1.8
…
…
1.3
1.3
1.1
1.0
…
…
…
69
2
…
43
…
…
…
…
66
…
…
…
…
…
42
…
…
21
21
7
5
…
…
…
42
…
…
36
…
…
…
…
25
…
…
…
…
…
57
…
…
…
…
81
89
…
…
…
88
…
…
73
…
…
…
…
73
…
…
…
…
…
84
…
…
…
…
99
100
…
…
…
2.1
…
…
2.0
…
…
…
…
3.0
…
…
…
…
…
1.5
…
…
…
…
1.2
1.1
…
…
…
45
…
…
37
…
…
…
…
48
…
…
…
…
…
27
…
…
…
…
18
11
…
40
…
…
…
69
97
…
38
98
…
…
47
…
…
100
…
…
82
26
31
58
…
93
…
…
…
90
98
…
80
99
…
…
83
…
…
100
…
…
99
62
83
94
…
2.3
…
…
…
1.3
1.0
…
2.1
1.0
…
…
1.8
…
…
1.0
…
…
1.2
2.3
2.7
1.6
…
54
…
…
…
21
2
…
43
1
…
…
36
…
…
0
…
…
17
35
52
36
…
30
…
98
…
…
97
…
28
97
…
…
39
…
…
100
…
…
58
17
27
46
…
97
…
100
…
…
98
…
77
99
…
…
90
…
…
100
…
…
100
74
91
95
…
3.3
…
1.0
…
…
1.0
…
2.7
1.0
…
…
2.3
…
…
1.0
…
…
1.7
4.3
3.4
2.1
…
67
…
2
…
…
2
…
48
2
…
…
51
…
…
0
…
…
42
57
64
49
…
44
…
…
…
…
93
…
26
100
…
…
40
…
…
…
…
…
42
27
24
35
…
89
…
…
…
…
97
…
76
99
…
…
89
…
…
…
…
…
94
61
73
81
…
2.0
…
…
…
…
1.0
…
2.9
1.0
…
…
2.2
…
…
…
…
…
2.3
2.3
3.1
2.3
…
45
…
…
…
…
5
…
50
–1
…
…
49
…
…
…
…
…
52
34
49
46
150
WORLD HEALTH STATISTICS
2010
MDG 4 Under-five mortality ratea,d
(probability of dying by age 5 per 1000 live births)
Measles immunization coverage
among 1-year-olds a,c (%)
Highest
Ratio highest–lowest
Difference highest–lowest
Lowest
Highest
Ratio highest–lowest
Difference highest–lowest
Rural
Urban
Ratio rural–urban
Difference rural–urban
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Education level
of mothere
Lowest
Wealth quintile
Difference urban–rural
Place of
residence
Ratio urban–rural
Education level
of mothere
Urban
Wealth quintile
Rural
Place of
residence
…
…
…
71
89
…
58
…
…
…
…
23
68
…
…
…
…
91
…
…
91
90
96
88
…
…
…
77
85
…
65
…
…
…
…
40
59
…
…
…
…
95
…
…
94
96
96
89
…
…
…
1.1
1.0
…
1.1
…
…
…
…
1.8
0.9
…
…
…
…
1.0
…
…
1.0
1.1
1.0
1.0
…
…
…
6
–4
…
6
…
…
…
…
17
–9
…
…
…
…
4
…
…
3
6
0
2
…
…
…
71
87
…
56
…
…
…
…
22
…
…
…
…
…
89
…
…
89
89
96
80
…
…
…
81
84
…
68
…
…
…
…
47
…
…
…
…
…
93
…
…
97
96
99
93
…
…
…
1.1
1.0
…
1.2
…
…
…
…
2.1
…
…
…
…
…
1.0
…
…
1.1
1.1
1.0
1.2
…
…
…
10
–3
…
13
…
…
…
…
25
…
…
…
…
…
4
…
…
9
8
3
13
…
…
…
69
…
…
56
…
…
…
…
24
…
…
…
…
…
84
…
…
…
…
90
71
…
…
…
95
…
…
75
…
…
…
…
48
…
…
…
…
…
93
…
…
…
…
96
92
…
…
…
1.4
…
…
1.3
…
…
…
…
2.0
…
…
…
…
…
1.1
…
…
…
…
1.1
1.3
…
…
…
26
…
…
19
…
…
…
…
25
…
…
…
…
…
9
…
…
…
…
6
21
…
…
…
160
…
…
168
…
…
…
…
136
57
…
…
…
…
105
…
…
24
83
…
26
…
…
…
91
…
…
167
…
…
…
…
134
51
…
…
…
…
107
…
…
19
70
…
10
…
…
…
1.8
…
…
1.0
…
…
…
…
1.0
1.1
…
…
…
…
1.0
…
…
1.3
1.2
…
2.6
…
…
…
69
…
…
1
…
…
…
…
2
6
…
…
…
…
–2
…
…
5
13
…
16
…
…
…
183
…
…
211
…
…
…
…
…
…
…
…
…
…
118
…
…
22
…
…
…
…
…
…
64
…
…
144
…
…
…
…
…
…
…
…
…
…
101
…
…
20
…
…
…
…
…
…
2.8
…
…
1.5
…
…
…
…
…
…
…
…
…
…
1.2
…
…
1.1
…
…
…
…
…
…
119
…
…
67
…
…
…
…
…
…
…
…
…
…
17
…
…
2
…
…
…
…
…
…
152
…
…
170
…
…
…
…
…
…
…
…
…
…
150
…
…
…
…
…
…
…
…
…
60
…
…
130
…
…
…
…
…
…
…
…
…
…
95
…
…
…
…
…
…
…
…
…
2.5
…
…
1.3
…
…
…
…
…
…
…
…
…
…
1.6
…
…
…
…
…
…
…
…
…
92
…
…
40
…
…
…
…
…
…
…
…
…
…
55
…
…
…
…
…
…
…
61
…
…
97
69
92
…
67
…
…
…
78
…
…
98
…
…
81
59
84
63
…
67
…
…
99
84
82
…
77
…
…
…
90
…
…
97
…
…
94
80
89
72
…
1.1
…
…
1.0
1.2
0.9
…
1.1
…
…
…
1.2
…
…
1.0
…
…
1.2
1.4
1.1
1.1
…
6
…
…
2
15
–10
…
10
…
…
…
12
…
…
0
…
…
14
22
5
8
…
57
…
(98)
…
…
91
…
66
…
…
…
65
…
…
97
…
…
64
52
88
54
…
72
…
(85)
…
…
80
…
73
…
…
…
91
…
…
98
…
…
98
86
94
74
…
1.3
…
0.9
…
…
0.9
…
1.1
…
…
…
1.4
…
…
1.0
…
…
1.5
1.6
1.1
1.4
…
15
…
–13
…
…
–11
…
7
…
…
…
26
…
…
1
…
…
33
33
7
20
…
50
…
…
…
…
74
…
64
…
…
…
65
…
…
…
…
…
49
60
82
30
…
82
…
…
…
…
88
…
82
…
…
…
90
…
…
…
…
…
93
81
90
71
…
1.6
…
…
…
…
1.2
…
1.3
…
…
…
1.4
…
…
…
…
…
1.9
1.4
1.1
2.3
…
32
…
…
…
…
14
…
18
…
…
…
25
…
…
…
…
…
44
21
8
41
…
143
…
…
…
50
100
…
147
20
…
…
138
…
…
59
…
…
36
86
139
72
…
73
…
…
…
30
73
…
115
19
…
…
108
…
…
51
…
…
16
57
132
64
…
2.0
…
…
…
1.7
1.4
…
1.3
1.1
…
…
1.3
…
…
1.2
…
…
2.2
1.5
1.1
1.1
…
70
…
…
…
20
27
…
32
1
…
…
31
…
…
8
…
…
19
29
7
8
…
150
…
…
…
…
106
…
172
23
…
…
137
…
…
72
…
…
53
118
124
72
…
62
…
…
…
…
70
…
108
9
…
…
93
…
…
42
…
…
16
37
110
57
…
2.4
…
…
…
…
1.5
…
1.6
2.7
…
…
1.5
…
…
1.7
…
…
3.3
3.2
1.1
1.3
…
88
…
…
…
…
36
…
64
15
…
…
44
…
…
30
…
…
37
81
14
15
…
145
…
…
…
…
133
…
164
…
…
…
160
…
…
…
…
…
66
…
144
69
…
64
…
…
…
…
88
…
91
…
…
…
76
…
…
…
…
…
29
…
105
68
…
2.3
…
…
…
…
1.5
…
1.8
…
…
…
2.1
…
…
…
…
…
2.3
…
1.4
1.0
…
81
…
…
…
…
45
…
73
…
…
…
84
…
…
…
…
…
38
…
39
1
151
Table 8
MDG 4
8. Health inequities
Member State
Year
MDG 5
Births attended by skilled health personnel a,b (%)
Ratio urban–rural
Difference urban–rural
Lowest
Highest
Ratio highest–lowest
Difference highest–lowest
Lowest
Highest
Ratio highest–lowest
Difference highest–lowest
Education level
of mothere
Urban
Wealth
quintile
Rural
Place of
residence
3
51
100
37
89
100
…
…
…
…
…
…
1
39
100
27
95
100
…
…
…
…
…
…
2
36
100
33
87
100
…
…
…
…
…
…
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
152
WORLD HEALTH STATISTICS
2010
MDG 4
MDG 4 Under-five mortality ratea,d
(probability of dying by age 5 per 1000 live births)
Measles immunization coverage
among 1-year-olds a,c (%)
Ratio highest–lowest
Difference highest–lowest
Lowest
Highest
Ratio highest–lowest
Difference highest–lowest
Rural
Urban
Ratio rural–urban
Difference rural–urban
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
Lowest
Highest
Ratio lowest–highest
Difference lowest–highest
19
78
99
38
84
100
…
…
…
…
…
…
8
70
100
38
86
100
…
…
…
…
…
…
18
62
98
48
85
99
…
…
…
…
…
…
19
94
253
10
73
250
…
…
…
…
…
…
22
120
233
9
61
187
…
…
…
…
…
…
44
139
223
20
65
143
…
…
…
…
…
…
Table 8
Highest
Education level
of mothere
Lowest
Wealth quintile
Difference urban–rural
Place of
residence
Ratio urban–rural
Education level
of mothere
Urban
Wealth quintile
Rural
Place of
residence
153
Table 9
WORLD HEALTH STATISTICS
2010
Demographic and socioeconomic statistics
This section presents data on demographic and socioeconomic factors that are major determinants of health. For
example, reductions in child mortality are closely associated with improvements in female education (Figure 15,
Box 8). The table includes three MDG-related indicators – adolescent fertility; primary school enrolment ratios; and
population living in poverty. The table also includes data on demographics (population size, growth, fertility rates
and urbanization); coverage of civil registration of births and deaths; adult literacy; and per capita gross national
income. In addition to their intrinsic value, such data are also important in making other statistics comparable across
countries. For example, data on disease incidence, prevalence and mortality rates, and on the availability of healthsystem resources all require reliable population-based denominators.
These demographic and socioeconomic data have been derived from a variety of national and international
sources. The latter include the World Bank, the United Nations Educational, Scientific and Cultural Organization
(UNESCO), the United Nations Children’s Fund (UNICEF) and the United Nations Department of Economic and
Social Affairs (UNDESA). Estimates are based on a combination of administrative records, population-based surveys,
censuses and civil registration data and on statistical modelling to account for missing values. For more information
on the sources and methods used for a particular indicator, please refer to the relevant footnotes and to the web site of
the responsible organization.
155
WORLD HEALTH STATISTICS
2010
Figure 15: Mortality rate in children under 5 years old against female net primary school enrolment rate
220
200
AFR
AMR
180
SEAR
EUR
EMR
Probability of dying by age 5 per 1000 live births, 2008
160
WPR
140
120
100
80
60
40
20
0
0
10
20
30
40
50
60
70
Female net primary school enrolment rate, 1990–1999 (%)
156
80
90
100
Box 8: Correlation between female primary education and child mortality rates
In Figure 15, the available data from 120 countries is shown. Each shape represents one country coded
according to WHO region. Two conclusions can be drawn from the data:
High rates of child mortality are strongly associated with a lack of female primary education – in general,
countries with a higher rate of female primary education have lower levels of under-five mortality.
There is much more variation between countries in the WHO African Region than in other WHO regions
– where there are few outliers.
157
Table 9
WORLD HEALTH STATISTICS
2010
9. Demographic and socioeconomic statistics
Populationa
Member State
Afghanistan
Albania
Algeria
Andorra
Angola
Antigua and Barbuda
Argentina
Armenia
Australia
Austria
Azerbaijan
Bahamas
Bahrain
Bangladesh
Barbados
Belarus
Belgium
Belize
Benin
Bhutan
Bolivia (Plurinational State of)
Bosnia and Herzegovina
Botswana
Brazil
Brunei Darussalam
Bulgaria
Burkina Faso
Burundi
Cambodia
Cameroon
Canada
Cape Verde
Central African Republic
Chad
Chile
China
Colombia
Comoros
Congo
Cook Islands
Costa Rica
Côte d'Ivoire
Croatia
Cuba
Cyprus
Czech Republic
Democratic People's Republic of Korea
Democratic Republic of the Congo
Denmark
Djibouti
Total
(000s)
Median
age
Aged
under 15
(%)
Aged over
60 (%)
2008
2008
2008
2008
27 208
3 143
34 373
84
18 021
87
39 883
3 077
21 074
8 337
8 731
338
776
160 000
255
9 679
10 590
301
8 662
687
9 694
3 773
1 921
191 972
392
7 593
15 234
8 074
14 562
19 088
33 259
499
4 339
10 914
16 804
1 344 920
45 012
661
3 615
20
4 519
20 591
4 423
11 205
862
10 319
23 819
64 257
5 458
849
17
29
25
…
17
…
30
32
37
41
28
29
28
24
37
38
41
22
18
23
21
39
22
28
27
41
17
20
22
19
39
20
19
17
31
33
26
21
19
…
27
19
41
37
36
39
33
16
40
21
46
24
28
14
45
27
25
21
19
15
25
26
27
32
18
15
17
36
43
31
37
16
34
26
27
13
46
39
34
41
17
37
41
46
23
20
30
38
41
33
26
41
15
18
18
14
22
47
18
37
4
13
7
22
4
12
14
14
19
23
9
10
4
6
14
18
23
6
5
7
7
18
6
10
5
24
3
4
6
5
19
6
6
4
13
12
8
5
6
8
9
6
23
16
18
21
14
4
23
5
158
Civil registration
coverage (%)
Annual growth rate
(%)
1988–
1998
1998–
2008
5.1
–0.4
2.1
2.6
2.9
1.5
1.3
–1.2
1.2
0.5
1.4
1.8
3.0
2.0
–0.2
0.0
0.3
2.9
3.3
0.0
2.2
–2.2
2.7
1.6
2.7
–0.9
2.8
1.6
3.0
2.7
1.1
2.2
2.5
3.1
1.7
1.2
1.9
2.4
2.4
0.0
2.5
3.3
0.2
0.6
1.4
0.0
1.4
3.4
0.3
3.2
3.2
0.2
1.5
2.6
2.9
1.6
1.0
–0.1
1.2
0.4
0.9
1.3
2.2
1.6
0.1
–0.5
0.4
2.3
3.2
2.6
1.9
0.8
1.5
1.3
2.1
–0.7
3.2
2.5
1.7
2.3
1.0
1.6
1.9
3.3
1.1
0.7
1.6
2.2
2.1
1.0
1.9
2.3
–0.4
0.2
1.2
0.1
0.6
2.8
0.3
2.1
Birthsb
Living in urban areas (%)
1990
18
36
52
95
37
35
87
67
85
66
54
80
88
20
33
66
96
47
34
16
56
39
42
75
66
66
14
6
13
41
77
44
37
21
83
28
68
28
54
57
51
40
54
73
67
75
58
28
85
76
2000
21
42
60
92
49
32
90
65
87
66
51
82
88
24
36
70
97
48
38
25
62
43
53
81
71
69
17
8
17
50
79
53
38
23
86
36
72
28
58
64
59
44
56
76
69
74
60
30
85
83
2008
24
47
65
89
57
30
92
64
89
67
52
84
89
27
40
73
97
52
41
35
66
47
60
86
75
71
20
10
22
57
80
60
39
27
88
43
74
28
61
74
63
49
57
76
70
73
63
34
87
87
Deathsc
2000–2008
6h
>90
>90
>90
29h
…
>90
>90
>90
>90
>90
…
>90
10h
>90
>90
>90
94h
60h
…
74h
>90
58h
89h,k
>90
>90
64h
60h
66h
70h
>90
>90
49h
9h
>90
…
90h
83h
81h,k
>90
>90
55h
>90
>90
>90
>90
99h
31h
>90
89h
<25
50–74
75–89
25–49
<25
75–89
90–100
50–74
90–100
90–100
50–74
90–100
75–89
<25
90–100
90–100
90–100
90–100
<25
<25
<25
…
<25
75–89
90–100
90–100
<25
<25
<25
<25
90–100
…
<25
<25
90–100
<25
90–100
<25
<25
>75
90–100
<25
90–100
90–100
90–100
90–100
<25
<25
90–100
<25
WORLD HEALTH STATISTICS
2010
MDG 5
Adolescent
fertility rated
Adult literacy ratee
(%)
(per 1000 girls
15–19 years)
1990
8.0
2.9
4.7
1.3i
7.2
…
3.0
2.5
1.9
1.5
3.0
2.6
3.7
4.4
1.7
1.9
1.6
4.5
6.7
5.9
4.9
1.7
4.7
2.8
3.2
1.7
6.8
6.6
5.8
5.9
1.7
5.3
5.8
6.7
2.6
2.3
3.1
5.5
5.4
…
3.2
6.3
1.7
1.8
2.4
1.8
2.4
7.1
1.7
6.2
2000
7.7
2.2
2.6
1.4i
6.8
2.7i
2.5
1.7
1.8
1.4
2.0
2.2
2.6
3.0
1.5
1.2
1.6
3.6
6.0
3.8
4.1
1.4
3.4
2.4
2.5
1.2
6.3
5.8
3.9
5.0
1.5
3.7
5.4
6.6
2.1
1.8
2.6
4.3
4.8
3.2i
2.4
5.2
1.4
1.6
1.7
1.1
2.0
6.9
1.8
4.8
2008
6.6
1.9
2.4
1.3i
5.8
2.1i
2.2
1.7
1.8
1.4
2.1
2.0
2.3
2.3
1.5
1.3
1.8
2.9
5.4
2.6
3.5
1.2
2.9
1.9
2.1
1.4
5.9
4.6
2.9
4.6
1.6
2.7
4.8
6.2
1.9
1.8
2.4
4.0
4.4
2.6i
2.0
4.6
1.4
1.5
1.5
1.4
1.9
6.0
1.8
3.9
2000–2007
151
13
4
11
165
67
62
25
15
12j
44
43
15j
127
51
20
10
90
114
46
88
16j
51
56
26j
38
131
30
52
141
14j
92
133
193
49
5
96
95
132
47
63j
111
13j
42j
6j
11j
…
124
6j
27
Male
1990–
1999
…
…
…
…
…
…
96
…
…
…
99
…
84
35
…
100
…
70
27
…
80
…
69
…
88
…
13
37
67
…
…
63
…
12
94
78
91
63
…
…
…
36
97
…
94
…
…
…
…
…
2000–
2007
28
99
75
…
67
99
98
99
…
…
100
…
89
53
…
100
…
…
41
53
91
97
83
90
95
98
29
59
76
68
…
84
49
32
97
93
93
75
…
…
96
49
99
100
98
…
…
67
…
…
Gross national income
per capitaf
(PPP int. $)
MDG 2
Net primary school
enrolment ratee (%)
1990–
1999
Female
2000–
2009
…
…
93
…
…
…
…
…
94
97
88
89
95
…
…
…
99
89
66
59
95
…
80
…
…
98
41
39
87
…
99
100
…
63
…
…
93
70
…
87
…
63
86
97
95
96
…
33
97
32
159
…
91
96
81
…
75
…
73
97
97
97
89
98
85
…
93
98
98
99
82
93
…
85
93
93
95
64
100
90
…
99
85
68
72
95
…
90
79
79
69
…
62
91
99
99
91
…
…
95
48
1990–
1999
…
…
89
…
…
…
…
…
94
98
89
89
97
…
…
…
99
88
45
52
95
…
83
…
…
96
29
33
79
…
99
98
…
39
…
…
93
59
…
83
…
48
85
98
95
97
…
32
97
23
2000–
2009
0
91
94
79
…
73
…
75
97
98
95
92
98
86
…
96
98
98
86
84
94
…
87
92
93
94
56
99
87
…
100
84
50
50
94
…
90
67
75
66
…
50
90
99
99
94
…
…
96
43
1990
2000
2008
…
2 820
4 340
…
1 840
8 110
5 160
2 040
16 310
19 290
…
…
10 830
500
…
4 650
18 720
2 970
790
1 280
2 010
…
4 860
5 050
35 700
5 000
520
340
…
1 430
18 830
1 230
570
690
4 490
800l
4 120
880
2 060
…
4 340
1 170
9 530
…
10 690
…
…
400
18 030
…
…
4 370
5 120
…
1 850
…
8 860
2 090
24 920
28 570
2 080
…
20 030
820
…
5 120
28 150
4 630
1 130
2 330
2 930
4 910
8 310
6 810
42 070
6 000
790
310
860
1 520
27 630
2 080
640
770
8 910
2 330l
5 550
970
1 990
…
6 620
1 430
10 580
…
16 020
14 640
…
210
28 180
1 600
…
7 950
7 940
…
5 020
20 570
14 020
6 310
34 040
37 680
7 770
…
…
1 440
…
12 150
34 760
6 040
1 460
4 880
4 140
8 620
13 100
10 070
…
11 950
1 160
380
1 820
2 180
36 220
3 450
730
1 160
13 270
6 020l
8 510
1 170
3 090
…
10 950
1 580
18 420
…
…
22 790
…
290
37 280
2 330
MDG 1
Population
living on <$1g
(PPP int. $)
a dayg (%)
2000–2007
…
<2.0
…
…
54.3
…
4.5
10.6
…
…
<2.0
…
…
49.6
…
<2.0
…
…
47.3
26.2
19.6
<2.0
…
5.2
…
<2.0
56.5
81.3
40.2
32.8
…
20.6
62.4
61.9
<2.0
15.9
16.0
46.1
54.1
…
2.4
23.3
<2.0
…
…
…
…
59.2
…
18.8
Table 9
Total fertility ratea
(per woman)
9. Demographic and socioeconomic statistics
Populationa
Member State
Dominica
Dominican Republic
Ecuador
Egypt
El Salvador
Equatorial Guinea
Eritrea
Estonia
Ethiopia
Fiji
Finland
France
Gabon
Gambia
Georgia
Germany
Ghana
Greece
Grenada
Guatemala
Guinea
Guinea-Bissau
Guyana
Haiti
Honduras
Hungary
Iceland
India
Indonesia
Iran (Islamic Republic of)
Iraq
Ireland
Israel
Italy
Jamaica
Japan
Jordan
Kazakhstan
Kenya
Kiribati
Kuwait
Kyrgyzstan
Lao People's Democratic Republic
Latvia
Lebanon
Lesotho
Liberia
Libyan Arab Jamahiriya
Lithuania
Luxembourg
Total
(000s)
Median
age
Aged
under 15
(%)
Aged over
60 (%)
2008
2008
2008
2008
67
9 953
13 481
81 527
6 134
659
4 927
1 341
80 713
844
5 304
62 036
1 448
1 660
4 307
82 264
23 351
11 137
104
13 686
9 833
1 575
763
9 876
7 319
10 012
315
1 181 412
227 345
73 312
30 096
4 437
7 051
59 604
2 708
127 293
6 136
15 521
38 765
97
2 919
5 414
6 205
2 259
4 194
2 049
3 793
6 294
3 321
481
…
25
25
23
23
19
19
39
18
24
42
40
21
19
37
43
20
41
24
19
18
19
27
21
20
40
35
24
28
26
19
34
29
43
26
44
22
29
18
…
30
25
20
40
28
19
18
25
39
39
27
32
31
32
33
41
42
15
44
32
17
18
37
42
17
14
39
14
28
42
43
43
30
37
38
15
21
32
27
24
41
21
28
14
30
13
35
24
43
31
23
30
38
14
26
39
43
30
15
18
12
8
9
7
10
4
4
22
5
8
23
22
6
5
19
26
6
24
9
6
5
5
9
6
6
22
16
7
9
7
5
16
14
26
10
29
6
10
4
7
4
7
5
22
10
7
5
6
21
19
160
Civil registration
coverage (%)
Annual growth rate
(%)
1988–
1998
1998–
2008
–0.2
1.9
2.0
2.1
1.2
3.4
1.2
–1.2
3.2
0.9
0.4
0.4
3.0
3.8
–1.1
0.4
2.7
0.8
0.3
2.3
3.4
2.5
0.0
2.0
2.6
–0.2
1.0
2.0
1.5
1.9
3.0
0.5
3.0
0.0
0.8
0.3
4.5
–0.7
3.1
1.7
–0.4
1.2
2.6
–0.9
2.4
1.6
0.9
2.1
–0.3
1.3
–0.2
1.5
1.2
1.9
0.4
2.8
3.7
–0.4
2.6
0.7
0.3
0.6
2.1
3.1
–1.2
0.0
2.3
0.2
0.2
2.4
2.0
2.3
0.1
1.7
2.0
–0.3
1.3
1.6
1.3
1.2
2.6
1.8
1.9
0.4
0.7
0.1
2.8
0.2
2.6
1.7
4.0
1.2
1.8
–0.7
1.3
1.2
4.4
2.0
–0.7
1.2
Birthsb
Living in urban areas (%)
1990
68
55
55
43
49
35
16
71
13
42
61
74
69
38
55
73
36
59
32
41
28
28
30
29
40
66
91
26
31
56
70
57
90
67
49
63
72
56
18
35
98
38
15
69
83
14
45
76
68
81
2000
71
62
60
43
58
39
18
69
15
48
61
76
80
49
53
73
44
60
31
45
31
30
29
36
44
65
92
28
42
64
68
59
91
67
52
65
78
56
20
43
98
35
22
68
86
20
54
76
67
84
2008
74
69
66
43
61
39
21
69
17
52
63
77
85
57
53
74
50
61
31
49
34
30
28
47
48
68
92
29
52
68
67
61
92
68
53
66
78
58
22
44
98
36
31
68
87
25
60
78
67
82
Deathsc
2000–2008
>90
78h
85h
>90
>90
32h
…
>90
7h
>90
>90
>90
89h
55h
>90
>90
51h
>90
…
>90
43h
39h
93h
81h
94h
>90
>90
41h
55h
>90
95h
>90
>90
>90
>90
>90
>90
>90
48h,k
…
>90
>90
72h
>90
>90
26h
4h,k
…
>90
>90
>75
50–74
50–74
75–89
75–89
<25
<25
90–100
<25
90–100
90–100
90–100
<25
<25
75–89
90–100
<25
90–100
…
75–89
<25
<25
50–74
<25
…
90–100
90–100
<25
<25
50–74
<25
90–100
90–100
90–100
…
90–100
25–49
75–89
25–49
>75
90–100
75–89
<25
90–100
<25
<25
<25
<25
90–100
90–100
WORLD HEALTH STATISTICS
2010
MDG 5
Adolescent
fertility rated
Adult literacy ratee
(%)
(per 1000 girls
15–19 years)
1990
2000
i
3.0
3.5
3.7
4.6
4.0
5.9
6.2
1.9
7.1
3.4
1.7
1.8
5.2
6.1
2.2
1.4
5.6
1.4
3.8
5.6
6.7
5.9
2.6
5.4
5.1
1.8
2.2
4.0
3.1
4.8
6.0
2.1
3.0
1.3
2.9
1.6
5.5
2.8
6.0
4.6i
3.5
3.9
6.0
1.9
3.1
4.9
6.5
4.8
2.0
1.6
2008
i
2.3
2.9
3.0
3.3
2.9
5.8
5.4
1.3
6.2
3.1
1.7
1.8
4.1
5.6
1.6
1.3
4.7
1.3
2.6
4.8
6.0
5.9
2.5
4.3
4.0
1.3
2.0
3.3
2.5
2.2
5.0
1.9
2.9
1.2
2.6
1.3
3.9
1.9
5.0
4.3i
2.4
2.7
4.6
1.2
2.4
4.1
5.9
3.2
1.3
1.7
2000–2007
i
2.1
2.6
2.6
2.9
2.3
5.3
4.6
1.7
5.3
2.7
1.8
1.9
3.3
5.1
1.6
1.3
4.3
1.4
2.3
4.1
5.4
5.7
2.3
3.5
3.3
1.4
2.1
2.7
2.2
1.8
4.1
2.0
2.8
1.4
2.4
1.3
3.1
2.3
4.9
3.1i
2.2
2.5
3.5
1.4
1.8
3.3
5.1
2.7
1.3
1.7
48
98
100
27j
67j
128
85
20
109
30j
9j
8j
…
104
37
10j
74
11
53
92j
153
170
90
69
108
20j
14j
45
51
25
68
17
15j
7j
58j
5j
28
27
116
39
14j
28j
110
17j
18
98
137
4j
19j
10j
Male
1990–
1999
…
…
88
56
74
…
…
…
27
…
…
…
72
…
…
…
…
93
…
64
…
…
…
…
…
99
…
48
82
73
…
…
…
…
80
…
…
100
…
…
78
99
60
…
…
…
41
76
…
…
2000–
2007
…
89
84
66
82
87
64
100
36
…
…
…
86
…
…
…
65
97
…
73
29
…
…
…
84
99
…
66
92
82
74
…
…
99
86
…
91
100
74
…
94
99
73
100
90
82
56
87
100
…
Gross national income
per capitaf
(PPP int. $)
MDG 2
Net primary school
enrolment ratee (%)
1990–
1999
Female
2000–
2009
95
79
97
88
…
…
36
96
43
98
99
99
…
81
…
99
61
92
…
86
51
61
…
…
…
88
100
…
…
95
94
93
98
99
88
…
91
…
62
…
86
89
81
98
92
54
54
…
96
96
161
68
80
93
95
93
54
45
94
81
91
96
98
81
67
100
98
73
99
92
97
76
61
95
…
96
90
97
91
97
100
93
96
97
99
86
…
88
90
81
…
89
84
84
89
89
71
85
…
92
95
1990–
1999
93
80
98
82
…
…
31
95
30
99
98
99
…
71
…
99
58
93
…
78
35
43
…
…
…
88
98
…
…
91
81
94
98
99
89
…
91
…
63
…
87
87
74
96
89
61
42
…
95
98
2000–
2009
72
80
90
92
95
53
40
94
75
91
96
99
80
71
98
98
74
100
93
93
66
43
95
…
98
88
97
88
94
96
81
97
98
98
84
…
90
89
82
…
87
83
81
92
88
74
66
…
91
96
1990
2000
2008
4 080
2 610
3 510
2 240
2 600
1 330
…
…
390
2 370
17 220
17 800
9 700
760
3 900
18 630
630
13 080
3 410
2 360
620
490
730
1 170
1 760
8 390
20 640
860
1 430
4 510
…
11 950
12 580
17 360
3 880
18 870
2 280
5 120
990
2 070
…
1 810
680
7 810
4 640
1 110
…
…
9 000
28 900
5 350
4 810
4 430
3 570
4 500
5 330
600
9 430
460
3 510
25 470
26 380
9 940
920
2 150
25 670
900
18 440
5 560
3 470
850
530
1 910
1 060
2 510
11 730
28 030
1 500
2 240
6 790
…
24 590
21 480
25 370
5 560
25 910
3 260
4 460
1 130
3 820
35 010
1 250
1 130
8 010
7 510
1 330
290
…
8 460
46 690
8 300
7 890
7 760
5 460
6 670
21 700
630
19 280
870
4 270
35 660
34 400
12 270
1 280
4 850
35 940
1 430
28 470
8 060
4 690
1 190
530
2 510
1 180
3 870
17 790
25 220
2 960
3 830
…
…
37 350
27 450
30 250
7 360
35 220
5 530
9 690
1 580
3 660
…
2 140
2 040
16 740
10 880
2 000
300
15 630
18 210
64 320
MDG 1
Population
living on <$1g
(PPP int. $)
a dayg (%)
2000–2007
…
5.0
4.7
<2.0
11.0
…
…
<2.0
39.0
…
…
…
4.8
34.3
13.4
…
30.0
…
…
11.7
70.1
48.8
…
54.9
18.2
<2.0
…
41.6
…
<2.0
…
…
…
…
<2.0
…
<2.0
3.1
19.7
…
…
21.8
44.0
<2.0
…
43.4
83.7
…
<2.0
…
Table 9
Total fertility ratea
(per woman)
9. Demographic and socioeconomic statistics
Populationa
Member State
Madagascar
Malawi
Malaysia
Maldives
Mali
Malta
Marshall Islands
Mauritania
Mauritius
Mexico
Micronesia (Federated States of)
Monaco
Mongolia
Montenegro
Morocco
Mozambique
Myanmar
Namibia
Nauru
Nepal
Netherlands
New Zealand
Nicaragua
Niger
Nigeria
Niue
Norway
Oman
Pakistan
Palau
Panama
Papua New Guinea
Paraguay
Peru
Philippines
Poland
Portugal
Qatar
Republic of Korea
Republic of Moldova
Romania
Russian Federation
Rwanda
Saint Kitts and Nevis
Saint Lucia
Saint Vincent and the Grenadines
Samoa
San Marino
Sao Tome and Principe
Saudi Arabia
Total
(000s)
Median
age
Aged
under 15
(%)
Aged over
60 (%)
2008
2008
2008
2008
19 111
14 846
27 014
305
12 706
407
61
3 215
1 280
108 555
110
33
2 641
622
31 606
22 383
49 563
2 130
10
28 810
16 528
4 230
5 667
14 704
151 212
2
4 767
2 785
176 952
20
3 399
6 577
6 238
28 837
90 348
38 104
10 677
1 281
48 152
3 633
21 361
141 394
9 721
51
170
109
179
31
160
25 201
18
17
26
23
18
38
…
20
32
27
20
…
25
35
25
18
27
21
…
21
40
36
21
15
18
…
39
24
21
…
27
20
23
25
23
38
40
30
37
35
38
38
18
…
27
27
19
…
19
24
43
46
30
29
44
16
31
40
23
29
37
18
27
20
29
44
27
37
31
37
18
21
36
50
43
33
19
32
37
31
30
40
34
31
34
15
15
16
17
17
15
15
42
27
27
27
40
14
41
33
5
5
7
6
4
20
7
4
11
9
6
22
6
17
8
5
8
5
7
6
21
17
6
4
5
8
20
5
6
7
9
4
7
8
6
18
23
2
15
15
20
17
4
12
9
9
7
26
5
4
162
Civil registration
coverage (%)
Annual growth rate
(%)
1988–
1998
1998–
2008
3.0
2.5
2.6
2.6
1.9
0.8
1.6
2.7
1.2
1.9
1.6
0.9
1.0
1.2
1.6
2.6
1.4
2.9
1.4
2.5
0.6
1.3
2.2
3.3
2.5
–2.0
0.5
3.0
2.6
2.5
2.0
2.6
2.4
1.9
2.3
0.2
0.1
2.8
0.8
–0.2
–0.3
0.1
–0.3
0.9
1.4
0.1
0.9
1.1
2.0
2.7
2.8
2.9
2.0
1.5
2.3
0.6
1.6
2.7
0.9
1.2
0.3
0.4
1.2
–0.5
1.2
2.6
0.8
2.0
0.1
2.1
0.5
1.1
1.4
3.6
2.4
–2.7
0.7
1.8
2.3
1.0
1.8
2.5
2.0
1.3
1.9
–0.1
0.5
8.1
0.5
–1.5
–0.5
–0.4
3.6
1.3
1.1
0.1
0.3
1.7
1.7
2.5
Living in urban areas (%)
1990
24
12
50
26
23
90
65
40
44
71
26
100
57
48
48
21
25
28
100
9
69
85
52
15
35
31
72
66
31
70
54
15
49
69
49
61
48
92
74
47
53
73
5
35
29
41
21
90
44
77
2000
27
15
62
28
28
92
68
40
43
75
22
100
57
59
53
31
28
32
100
13
77
86
55
16
43
34
76
72
33
70
66
13
55
71
59
62
54
95
80
45
53
73
14
33
28
44
22
93
53
80
2008
29
19
70
38
32
94
71
41
42
77
22
100
57
60
56
37
33
37
100
17
82
87
57
16
48
39
77
72
36
80
73
12
60
71
65
61
59
96
81
42
54
73
18
32
28
47
23
94
61
82
Birthsb
Deathsc
2000–2008
75h
…
>90
>90
53h
>90
…
56h
>90
…
…
>90
>90
>90
85h
31h
65h,k
67h
…
35h
>90
>90
81h
32h
30h
>90
>90
…
…
>90
>90
…
…
93h
>90
>90
>90
>90
>90
>90
>90
>90
82h
…
>90
>90
>90
>90
69h
…
<25
<25
…
75–89
<25
90–100
…
<25
90–100
90–100
…
>75
75–89
…
…
<25
<25
<25
…
<25
90–100
90–100
50–74
<25
<25
>75
90–100
50–74
<25
…
90–100
…
75–89
50–74
90–100
90–100
90–100
75–89
90–100
90–100
90–100
90–100
<25
>75
90–100
90–100
…
>75
…
25–49
WORLD HEALTH STATISTICS
2010
MDG 5
Adolescent
fertility rated
Adult literacy ratee
(%)
(per 1000 girls
15–19 years)
1990
6.3
7.0
3.7
6.1
6.4
2.0
5.7i
5.9
2.2
3.4
5.0
1.1i
4.2
1.9
4.0
6.2
3.4
5.2
…
5.2
1.6
2.1
4.8
7.9
6.6
…
1.9
6.6
6.1
2.8i
3.0
4.8
4.5
3.8
4.3
2.0
1.5
4.4
1.6
2.4
1.9
1.9
6.8
2.6i
3.4
3.0
4.8
…
5.4
5.8
2000
5.6
6.2
3.0
2.8
5.8
1.6
4.4i
5.1
2.0
2.5
4.3
1.2i
2.2
1.8
2.7
5.7
2.5
4.0
3.7i
4.0
1.7
1.9
3.3
7.5
5.9
…
1.8
4.4
4.7
2.0i
2.7
4.5
3.7
2.9
3.5
1.3
1.4
3.1
1.4
1.6
1.3
1.2
5.9
2.2i
2.3
2.4
4.5
1.3i
4.6
4.2
2008
4.7
5.5
2.6
2.0
5.5
1.3
3.7i
4.5
1.8
2.2
3.6
1.5i
2.0
1.6
2.4
5.1
2.3
3.4
2.9i
2.9
1.7
2.0
2.7
7.1
5.3
…
1.9
3.0
4.0
1.9i
2.5
4.1
3.0
2.6
3.1
1.3
1.4
2.4
1.2
1.5
1.3
1.4
5.4
1.8i
2.0
2.1
4.0
1.5i
3.8
3.1
2000–2007
154
178
13j
8
190
17j
88j
88
35j
82j
51j
…
19j
16
18m
185m
…
74
69
106
4j
29j
109
199
126
28
9j
11
20
31
85
70
65
59
55
13
17j
16j
2j
25j
35j
28j
40
74
49
57j
29
1j
91
7n
Male
1990–
1999
…
64
83
96
19
88
…
…
51
88
…
…
…
…
42
39
…
76
…
33
…
…
…
…
55
…
…
…
43
…
89
…
90
87
94
99
88
83
…
…
97
…
58
…
…
…
98
…
73
71
2000–
2007
71
72
92
97
26
92
…
56
87
93
…
…
97
…
56
44
90
88
…
57
…
…
78
29
72
…
…
84
54
…
93
58
95
90
93
99
95
93
…
99
98
100
65
…
…
…
99
…
88
85
Gross national income
per capitaf
(PPP int. $)
MDG 2
Net primary school
enrolment ratee (%)
1990–
1999
Female
2000–
2009
66
99
99
98
52
94
…
62
90
97
…
…
92
…
76
58
…
85
…
73
100
99
76
30
66
99
100
81
…
…
96
…
96
98
90
96
…
90
98
…
96
…
…
…
94
…
92
…
86
…
163
98
88
98
97
86
92
67
77
93
98
…
…
89
…
92
82
…
87
72
79
99
99
92
55
64
…
98
67
72
…
99
…
92
97
89
95
99
95
100
84
94
…
95
86
92
98
91
…
98
85
1990–
1999
66
97
97
97
37
96
…
62
91
97
…
…
94
…
65
46
…
91
…
57
99
99
77
21
54
98
100
81
…
…
96
…
96
98
90
96
…
91
98
…
95
…
…
…
90
…
91
…
85
…
2000–
2009
99
93
97
95
71
91
66
82
94
98
…
…
88
…
87
77
…
91
73
76
98
99
92
43
58
…
98
69
60
…
98
…
93
97
91
96
98
94
97
82
94
…
97
88
91
92
91
…
97
84
1990
2000
2008
720
440
4 590
…
540
10 450
…
1 210
4 110
5 990
…
…
1 500
…
1 930
270
…
2 920
…
510
17 530
13 490
1 320
480
950
…
17 420
9 900
1 260
…
4 180
1 190
2 970
3 120
1 710
5 160
10 700
…
8 200
2 800
5 180
9 100
510
5 780
4 680
3 030
2 880
…
…
14 670
790
610
8 350
2 680
750
17 830
…
1 430
7 490
8 950
2 790
…
1 790
6 320
2 570
420
…
4 040
…
800
30 000
19 430
1 780
500
1 130
…
35 600
14 440
1 690
…
6 830
1 630
3 370
4 750
2 430
10 410
16 650
…
17 050
1 320
5 610
7 430
580
9 440
6 720
5 060
2 870
…
…
17 490
1 040
830
13 740
5 280
1 090
…
…
…
12 480
14 270
3 000
…
3 480
13 920
4 330
770
…
6 270
…
1 120
41 670
25 090
2 620
680
1 940
…
58 500
…
2 700
…
11 650
2 000
4 820
7 980
3 900
17 310
22 080
…
28 120
3 210
13 500
15 630
1 010
15 170
9 190
8 770
4 340
…
1 780
…
MDG 1
Population
living on <$1g
(PPP int. $)
a dayg (%)
2000–2007
67.8
73.9
<2.0
…
51.4
…
…
21.2
…
<2.0
…
…
22.4
…
2.5
74.7
…
…
…
55.1
…
…
15.8
65.9
64.4
…
…
…
22.6
…
9.5
…
6.5
7.9
22.6
<2.0
…
…
…
8.1
<2.0
<2.0
76.6
…
…
…
…
…
…
…
Table 9
Total fertility ratea
(per woman)
9. Demographic and socioeconomic statistics
Populationa
Member State
Senegal
Serbia
Seychelles
Sierra Leone
Singapore
Slovakia
Slovenia
Solomon Islands
Somalia
South Africa
Spain
Sri Lanka
Sudan
Suriname
Swaziland
Sweden
Switzerland
Syrian Arab Republic
Tajikistan
Thailand
The former Yugoslav Republic of
Macedonia
Timor-Leste
Togo
Tonga
Trinidad and Tobago
Tunisia
Turkey
Turkmenistan
Tuvalu
Uganda
Ukraine
United Arab Emirates
United Kingdom
United Republic of Tanzania
United States of America
Uruguay
Uzbekistan
Vanuatu
Venezuela (Bolivarian Republic of)
Viet Nam
Yemen
Zambia
Zimbabwe
Total
(000s)
Median
age
Aged
under 15
(%)
Aged over
60 (%)
2008
2008
2008
2008
Civil registration
coverage (%)
Annual growth rate
(%)
1988–
1998
1998–
2008
Birthsb
Living in urban areas (%)
1990
2000
2008
Deathsc
2000–2008
12 211
9 839
84
5 560
4 615
5 400
2 015
511
8 926
49 668
44 486
20 061
41 348
515
1 168
9 205
7 541
21 227
6 836
67 386
2 041
18
37
…
18
39
36
41
20
18
24
40
30
20
27
19
41
41
22
20
32
35
44
18
24
43
17
16
14
39
45
31
15
24
40
29
40
17
16
35
38
22
18
4
19
11
4
14
17
21
5
4
7
22
11
6
9
5
24
23
5
5
11
16
2.8
0.8
1.3
0.3
2.8
0.3
0.4
2.8
0.7
2.1
0.3
1.0
2.5
1.4
2.6
0.5
0.8
2.7
1.8
1.1
0.6
2.6
–0.4
0.6
3.2
1.9
0.0
0.2
2.6
2.5
1.3
1.1
0.8
2.2
1.3
1.2
0.4
0.6
3.0
1.3
0.9
0.2
39
50
49
33
100
56
50
14
30
52
75
17
27
68
23
83
73
49
32
29
58
41
51
51
36
100
56
51
16
33
57
76
16
36
72
23
84
73
52
26
31
63
42
52
54
38
100
56
48
18
37
61
77
15
43
75
25
85
73
54
26
33
67
55h
>90
>90
48h
>90
>90
>90
…
3h
78h,k
>90
>90
33h
>90
30h
>90
>90
…
88h
99h
>90
<25
…
>75
<25
75–89
90–100
90–100
…
<25
75–89
90–100
50–74
<25
75–89
<25
90–100
90–100
90–100
50–74
50–74
90–100
1 098
6 459
104
1 333
10 169
73 914
5 044
10
31 657
45 992
4 485
61 231
42 484
311 666
3 349
27 191
234
28 121
87 096
22 917
12 620
12 463
17
19
21
30
28
28
24
…
15
39
31
39
17
36
33
24
20
26
27
17
17
19
45
40
37
21
24
27
30
33
49
14
19
18
45
20
23
30
39
30
27
44
46
40
5
5
8
10
9
9
6
8
4
21
2
22
5
18
18
6
5
8
9
4
5
6
1.5
2.8
0.5
0.6
1.6
1.7
2.3
0.7
3.3
–0.3
5.5
0.3
3.1
1.2
0.7
2.1
2.5
2.2
1.8
4.1
2.9
2.2
2.9
2.7
0.6
0.4
0.9
1.4
1.4
0.5
3.2
–0.8
4.4
0.5
2.7
1.0
0.2
1.2
2.5
1.8
1.3
2.9
2.4
0.2
21
30
23
9
58
59
45
41
11
67
79
89
19
75
89
40
19
84
20
21
39
29
24
37
23
11
63
65
46
46
12
67
78
89
22
79
91
37
22
90
24
26
35
34
27
42
25
13
67
69
49
49
13
68
78
90
25
82
92
37
25
93
28
31
35
37
53h,k
78h
…
96h
>90
84h
96h
…
21h
>90
…
>90
8h
>90
>90
100h
…
>90
>90
22h
10h
74h
<25
<25
…
90–100
25–49
50–74
…
>75
<25
90–100
75–89
90–100
<25
90–100
90–100
75–89
…
90–100
<25
<25
<25
25–49
164
WORLD HEALTH STATISTICS
2010
MDG 5
Adolescent
fertility rated
Adult literacy ratee
(%)
(per 1000 girls
15–19 years)
1990
2000
2008
2000–2007
Male
1990–
1999
2000–
2007
Gross national income
per capitaf
(PPP int. $)
MDG 2
Net primary school
enrolment ratee (%)
1990–
1999
Female
2000–
2009
1990–
1999
2000–
2009
1990
2000
2008
MDG 1
Population
living on <$1g
(PPP int. $)
a dayg (%)
2000–2007
6.7
2.1
2.7i
5.5
1.8
2.0
1.5
5.9
6.6
3.7
1.3
2.5
6.0
2.7
5.7
2.0
1.5
5.5
5.2
2.1
2.1
5.6
1.7
2.2i
5.4
1.5
1.3
1.2
4.6
6.5
2.9
1.2
2.2
5.1
2.7
4.2
1.6
1.4
3.8
4.0
1.8
1.7
5.0
1.6
1.9i
5.2
1.3
1.3
1.4
3.9
6.4
2.5
1.4
2.3
4.2
2.4
3.5
1.9
1.5
3.2
3.4
1.8
1.4
100
24
54
146
6j
21j
5j
…
123
54
12
28
…
63j
111
6j
4j
75
27
46
19
…
…
88
…
89
…
100
…
…
82
96
…
…
…
…
…
…
…
…
…
94
42
…
92
38
94
…
100
…
…
88
98
91
61
90
84
…
…
83
100
94
97
59
…
…
…
…
…
96
…
…
91
100
…
…
…
69
…
95
95
…
…
94
72
95
99
…
…
91
96
62
…
87
100
100
43
91
82
94
94
97
99
…
86
51
…
…
…
…
…
95
…
…
93
99
…
…
…
71
…
96
88
…
…
92
74
95
100
…
…
92
95
61
…
88
100
100
36
90
84
94
93
92
95
…
87
…
…
9 460
430
17 690
7 730
…
…
…
5 440
13 240
1 450
650
3 780
2 660
19 120
25 440
2 070
2 210
2 690
5 500
…
6 000
15 310
350
32 880
10 800
17 460
…
…
6 470
21 120
2 660
1 070
4 400
3 650
27 500
34 020
3 150
800
4 610
5 830
1 760
11 150
19 770
750
47 940
21 300
26 910
2 580
…
9 780
31 130
4 460
1 930
7 130
5 010
38 180
46 460
4 350
1 860
5 990
9 950
33.5
…
…
53.4
…
…
<2.0
…
…
26.2
…
14.0
…
…
62.9
…
…
…
21.5
<2.0
<2.0
5.3
6.3
4.6
2.4
3.6
3.1
4.3
3.8i
7.1
1.9
4.4
1.8
6.2
2.0
2.5
4.2
4.9
3.4
3.7
8.1
6.5
5.2
7.1
5.1
4.2
1.6
2.1
2.4
2.8
3.6i
6.8
1.1
2.7
1.7
5.7
2.0
2.2
2.8
4.5
2.8
2.3
6.3
6.2
3.9
6.5
4.3
4.0
1.6
1.8
2.1
2.5
3.2i
6.3
1.3
1.9
1.8
5.6
2.1
2.1
2.3
4.0
2.5
2.1
5.2
5.8
3.4
59
…
16
35
6j
51
20
22j
159
30
23
26
139
41j
63
26
…
91
35
80
146
101
…
…
99
97
…
79
99
…
56
…
…
…
…
…
97
…
66
90
90
37
68
84
…
53
99
99
78
89
100
…
74
100
90
…
72
…
98
97
78
95
…
59
71
91
…
93
90
89
96
…
…
…
…
…
79
100
48
94
…
…
92
85
…
70
71
83
77
89
97
94
97
95
…
…
94
89
92
97
100
91
97
91
87
90
96
79
95
89
…
73
86
89
94
…
…
…
…
…
78
100
50
94
…
…
91
86
…
41
68
83
74
78
96
93
98
92
…
…
97
89
91
98
99
92
98
89
86
90
91
66
96
91
…
600
1 980
6 770
2 810
4 210
2 710
…
400
5 950
40 090
15 860
590
22 940
5 090
…
2 520
6 800
610
1 270
820
…
790
690
2 960
10 670
4 590
8 720
1 930
…
680
3 170
41 500
25 590
750
35 190
8 170
1 420
2 930
8 360
1 390
1 710
840
…
4 690
820
3 880
23 950
7 070
13 770
6 210
…
1 140
7 210
…
36 130
1 230
46 970
12 540
2 660
3 940
12 830
2 700
2 210
1 230
…
52.9
38.7
…
…
2.6
2.7
…
…
51.5
<2.0
…
…
88.5
…
<2.0
46.3
…
3.5
21.5
17.5
64.3
…
165
Table 9
Total fertility ratea
(per woman)
9. Demographic and socioeconomic statistics
Populationa
Member State
Total
(000s)
Median
age
Aged
under 15
(%)
Aged over
60 (%)
2008
2008
2008
2008
Civil registration
coverage (%)
Annual growth rate
(%)
1988–
1998
1998–
2008
Birthsb
Living in urban areas (%)
1990
2000
2008
Deathsc
2000–2008
RANGES OF COUNTRY VALUES
Minimum
Median
Maximum
2
6 836
1 344 920
15
25
44
13
30
50
2
8
29
–2.2
1.6
5.5
–2.7
1.3
8.1
5
49
100
8
53
100
10
57
100
3
>90
100
…
…
…
804 865
915 430
1 760 486
889 170
580 208
1 787 321
19
31
25
37
22
33
42
25
31
18
35
21
5
13
8
19
6
12
2.7
1.5
1.8
0.3
2.5
1.2
2.5
1.2
1.5
0.2
2.1
0.8
29
72
26
68
44
34
34
77
29
69
47
41
37
80
32
70
49
47
…
…
…
…
…
…
…
…
…
…
…
…
Low income
Lower middle income
Upper middle income
High income
975 322
3 770 921
954 057
1 037 180
21
27
30
39
38
28
25
18
6
9
11
21
2.5
1.6
1.2
0.7
2.1
1.3
0.8
0.7
23
31
68
73
26
37
72
76
29
41
75
77
…
…
…
…
…
…
…
…
GLOBAL
6 737 480
29
27
11
1.5
1.3
43
47
50
…
…
WHO REGION
African Region
Region of the Americas
South-East Asia Region
European Region
Eastern Mediterranean Region
Western Pacific Region
INCOME GROUP
166
WORLD HEALTH STATISTICS
2010
MDG 5
Adolescent
fertility rated
Adult literacy ratee
(%)
(per 1000 girls
15–19 years)
Male
2000–
2007
Gross national income
per capitaf
(PPP int. $)
MDG 2
Net primary school
enrolment ratee (%)
1990–
1999
Female
2000–
2009
1990
2000
2008
2000–2007
1990–
1999
1.1
3.7
8.1
1.1
2.7
7.7
1.2
2.4
7.1
1
43
199
12
80
100
26
89
100
30
92
100
43
92
100
21
90
100
6.2
2.7
3.8
1.9
5.5
2.4
5.4
2.4
3.0
1.6
4.0
1.9
4.9
2.2
2.6
1.6
3.4
1.8
118
61
55
23
35
11
51
…
52
…
53
79
63
91
71
98
66
93
61
94
…
98
…
…
80
93
91
96
82
…
54
94
…
98
79
…
5.4
3.4
2.8
1.8
4.5
2.7
2.2
1.7
4.0
2.5
2.0
1.7
110
35
51
21
51
66
89
…
60
81
93
…
56
…
94
96
85
87
94
94
48
…
94
96
80
83
93
94
594
1 208
5 796
18 302
835
2 173
7 347
27 417
1 372
4 363
12 337
37 750
47.6
26.1
4.4
…
3.3
2.7
2.5
47
68
81
…
89
…
85
4 862
6 940
10 290
25.6
167
1990–
1999
2000–
2009
MDG 1
Population
living on <$1g
(PPP int. $)
a dayg (%)
1990
2000
2008
2000–2007
0
91
100
270
3 000
40 090
210
4 460
46 690
290
6 290
64 320
<2.0
19.6
88.5
76
93
89
95
70
…
1 319
11 833
994
11 546
2 981
2 824
1 506
17 520
1 670
15 193
4 313
4 918
2 279
24 005
3 043
22 849
3 805
8 958
52.8
6.5
40.5
4.2
11.8
16.7
Table 9
Total fertility ratea
(per woman)
Footnotes
These summary tables represent the best estimates of WHO – based on evidence available in 2009 – rather than the
official estimates of Member States. These estimates have been computed using standard categories and methods
to enhance cross-national comparability. Therefore, they are not always the same as official national estimates, nor
necessarily endorsed by specific Member States.
For indicators with a reference period expressed as a range, figures refer to the latest available year in the range; except
in Table 8. Health inequities, where the figures refer to the period specified. For more information on specific years,
indicator definitions and metadata, please refer to www.who.int/whosis.
... Data not available or not applicable.
The global, regional and income aggregates for rates and ratios are weighted averages when relevant, while for absolute
numbers they are the sums. Aggregates are calculated only if data are available for 50% of the population within the
group. Income-group aggregates are calculated using the 2009 World Bank list of economies1 unless otherwise noted.
Table 1
a
Life tables for WHO Member States. Geneva, World Health Organization, 2010 (http://www.who.int/whosis/database/
life_tables/life_tables.cfm).
b
Healthy life expectancy (HALE) estimates use methods described in the statistical annex to The world health report 2004
– Changing history. Estimates for 2007 have been revised to take into account the Global Burden of Disease estimates
for Member States for the year 2004 and may not be entirely comparable with those for 2002 published in World Health
Statistics 2007. Income-group aggregates are based on the 2008 World Bank list of economies.
c
Mortality data. Geneva, World Health Organization, 2010 (www.who.int/healthinfo/statistics/mortality/en/).
Table 2
1
Mortality and burden of disease
Cause-specific mortality and morbidity
a
Sources: Towards reaching health-related Millennium Development Goals: Progress report and way forward. Report of
the regional director. Brazzaville, WHO Regional Office for Africa, 2009. See Annex 3; PAHO basic indicators 2009.
Washington, DC, Pan American Health Organization, 2009 (www.paho.org/English/SHA/coredata/tabulator/
newTabulator.htm); European health for all database (HFA-DB). Copenhagen, WHO Regional Office for Europe, 2009
(http://data.euro.who.int/hfadb); Country health information profiles (CHIPS). Manila, WHO Regional Office for the
Western Pacific, 2009 (www.wpro.who.int/countries/countries.htm); Core health indicators and MDGs. New Delhi, WHO
Regional Office for South-East Asia, 2008 (http://203.90.70.117/esidas/CoreHealthData.asp). Additional data compiled
by the WHO Regional Office for the Eastern Mediterranean.
b
Maternal mortality in 2005: estimates developed by WHO, UNICEF, UNFPA and the World Bank. Geneva, World Health
Organization, 2007 (www.who.int/reproductive-health/publications/maternal_mortality_2005/mme_2005.pdf ). Incomegroup aggregates are based on the 2005 World Bank list of economies.
c
Based on the 2008 report on the global AIDS epidemic. Geneva, UNAIDS and World Health Organization, 2008. See
Annex: HIV and AIDS estimates and data, 2007 and 2001 (http://data.unaids.org/pub/GlobalReport/2008/jc1510_2008_
global_report_pp211_234_en.pdf ). Ranges of estimates are available from this document. WHO regional and global
figures are updates for the year 2008. Income-group aggregates are based on the 2008 World Bank list of economies.
d
World malaria report 2008. Geneva, World Health Organization, 2008 (www.who.int/malaria/wmr2008). See Annex 1:
Estimating the numbers of malaria cases and deaths by country in 2006.
e
These are classified as deaths from tuberculosis (A15–A19, B90) according to the International statistical classification of
diseases and related health problems, tenth revision. Geneva, World Health Organization, 1992. Global tuberculosis control: A
short update to the 2009 report. Geneva, World Health Organization, 2009 (WHO/HTM/TB/2009.426) (www.who.int/tb/
publications/global_report). WHO region, income group and global aggregates include territories.
World Bank list of economies (July 2009). Washington, DC, World Bank, July 2009: http://siteresources.worldbank.org/DATASTATISTICS/Resources/CLASS.XLS
168
f
Mortality and burden of disease estimates for WHO Member States in 2004. Geneva, World Health Organization, 2009
(www.who.int/entity/healthinfo/statistics/bodgbddeathdalyestimates.xls). Communicable diseases include maternal causes,
conditions arising during the perinatal period and nutritional deficiencies. Income-group aggregates are based on the 2004
World Bank list of economies.
g
Rates are age-standardized to WHO’s world standard population. Ahmad OB et al. Age standardization of rates: a new
WHO standard. Geneva, World Health Organization, 2001 (GPE Discussion Paper Series No. 31) (www.who.int/
healthinfo/paper31.pdf ).
h
Individual percentages may not add up to 100% due to rounding.
i
Mortality data. Geneva, World Health Organization, 2010 (www.who.int/healthinfo/statistics/mortality/en/).
j
Data are for all forms of tuberculosis including tuberculosis in people with HIV infection. Global tuberculosis control: A
short update to the 2009 report. Geneva, World Health Organization, 2009 (WHO/HTM/TB/2009.426) (www.who.int/tb/
publications/global_report). WHO region, income group and global aggregates include territories.
k
The number of deaths is estimated at less than 0.05 per 100 000 population.
l
The Ministry of Health and Social Services Seychelles reported 1 maternal death in 2008.
Table 3
Selected infectious diseases
a
Cholera: global surveillance summary, 2008. Weekly Epidemiological Record, No. 31, 2009, 84:309–324 (www.who.int/
wer).
b
WHO/UNICEF estimates of disease incidence. Geneva, World Health Organization, 2009 (www.who.int/immunization_
monitoring/data/en/).
c
Cumulative number of confirmed human cases of avian influenza A/(H5N1) reported to WHO. Geneva, World Health
Organization, 2009 (www.who.int/csr/disease/avian_influenza/country/cases_table_2009_12_30/en/index.html). All dates
refer to onset of illness. WHO reports only laboratory-confirmed cases.
d
Global leprosy situation, 2009. Weekly Epidemiological Record, No. 33, 2009, 84:333–340 (www.who.int/wer).
e
World malaria report 2009. Annex 3.A: Reported malaria cases, 1990–2008. Geneva, World Health Organization, 2009
(www.who.int/malaria/world_malaria_report_2009/en/index.html).
f
Suspected meningitis cases reported to WHO Epidemic and Pandemic Alert and Response (EPR) in African countries
under enhanced surveillance up to 29 November 2009.
g
Human plague: review of regional morbidity and mortality, 2004–2009. Weekly Epidemiological Record, No. 6, 2010,
85:37–48 (www.who.int/wer).
h
Data from World Health Organization, Polio Eradication Initiative, as of 12 January 2010. Updated information can be
found at: www.who.int/immunization_monitoring/en/diseases/poliomyelitis/case_count.cfm Confirmed polio cases refer
to any circulating polioviruses (wild poliovirus and circulating Vaccine Derived Poliovirus – cVDPV). Figures include 2
cVDPVs in the Democratic Republic of the Congo and India; 1 cVDPV in Ethiopia and Guinea; and 148 cVDPVs in
Nigeria. Afghanistan, India, Nigeria and Pakistan are currently endemic countries. For non-endemic countries, cases are the
result of importation.
i
Number of new smear-positive cases notified to WHO. Global tuberculosis control: A short update to the 2009 report.
Geneva, World Health Organization, 2009 (WHO/HTM/TB/2009.426) (www.who.int/tb/publications/global_report).
WHO regional, income group and global figures exclude territories and may differ from those in the publication.
j
Number of cases reported up to 05 July 2009.
k
Number of cases reported up to 05 October 2009.
l
Number of cases reported up to 26 July 2009.
m
Number of cases reported up to 09 November 2009.
n
Data represent only 15 northern states of Sudan.
169
Footnotes
WORLD HEALTH STATISTICS
2010
Footnotes
Table 4
Health service coverage
a
UNICEF global database on maternal health. New York, UNICEF, 2010 (www.childinfo.org/antenatal_care_country.php –
January 2010 update).
b
WHO global database on maternal health indicators, 2009 update. Geneva, World Health Organization, 2009 (www.who.
int/reproductive-health/global_monitoring/index.html). In order to enhance comparability over time, the reported figures
are derived, to the extent possible, from broadly comparable data sources. Therefore, reported figures may not refer to the
most recently available data. Refer to the source for more complete information on time trends and metadata.
c
Proportion of neonates protected at birth against neonatal tetanus through maternal immunization with tetanus toxoid,
based on a mathematical model taking into account the mother’s immunization in infancy, during pregnancy and
in tetanus campaigns. The model is described in: Griffiths UK et al. Incremental cost-effectiveness of supplementary
immunization activities to prevent neonatal tetanus in Pakistan. Bulletin of the World Health Organization, 2004, 82:643–
651. WHO/UNICEF estimates of national immunization coverage. Geneva, World Health Organization, 2009 (www.who.
int/immunization_monitoring/routine/immunization_coverage/en/index4.html).
d
Measles = measles-containing vaccine (MCV); DTP3 = 3 doses of diphtheria-tetanus-pertussis vaccine; HepB3 = 3 doses
of hepatitis B vaccine; Hib3 = 3 doses of Haemophilus influenzae type B vaccine. WHO/UNICEF estimates of national
immunization coverage. Geneva, World Health Organization, 2009 (www.who.int/immunization_monitoring/routine/
immunization_coverage/en/index4.html). Estimates based on data available up to December 2009. For countries
recommending the first dose of measles vaccine in children older than 12 months of age, the indicator is calculated as the
proportion of children less than 24 months of age receiving one dose of measles-containing vaccine. Complete coverage
estimates are available online.
e
Data compiled by WHO from Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS)
January 2010 (www.measuredhs.com; and www.unicef.org/statistics/index_24302.html).
f
World malaria report 2009. Geneva, World Health Organization, 2009 (www.who.int/malaria/world_malaria_report_2009/en/
index.html). See Annex 6.
g
World contraceptive use 2009. New York, Population Division, Department of Economic and Social Affairs, United Nation
Secretariat, 2009 (POP/DB/CP/Rev2009).
h
PMTCT = prevention of mother-to-child transmission. Point estimates are published only for countries with a generalized
epidemic. Regional and level-of-income aggregates are based on data for all low-income and middle-income countries when
available. Towards universal access: scaling up priority HIV/AIDS interventions in the health sector: progress report, September
2009. Geneva, World Health Organization, Joint United Nations Programme on HIV/AIDS, United Nations Children’s
Fund, 2009. See Annexes 3 and 4.
i
Towards universal access: scaling up priority HIV/AIDS interventions in the health sector: progress report, 2008. Geneva, World
Health Organization, Joint United Nations Programme on HIV/AIDS, United Nations Children’s Fund, 2008. WHO
regional and global figures are updates for the year 2008. Income-group aggregates are based on the World Bank 2008 list
of economies.
j
The case-detection rate is the number of new smear-positive cases reported to WHO divided by the estimated number of
new smear-positive cases. Global tuberculosis control: a short update to the 2009 report. Geneva, World Health Organization,
2009 (WHO/HTM/TB/2009.426) (www.who.int/tb/publications/global_report). WHO region, income group and global
aggregates include territories.
k
The treatment-success rate is the percentage of new smear-positive patients registered for treatment who were cured (with
laboratory confirmation) or who completed their course of treatment. Global tuberculosis control: a short update to the 2009
report. Geneva, World Health Organization, 2009 (WHO/HTM/TB/2009.426) (www.who.int/tb/publications/global_
report). WHO region, income group and global aggregates include territories.
l
Composition of methods might be slightly different based on country context.
m
Includes <5% of deliveries by cadres of health workers other than doctors, nurses and midwives.
n
Data pertain to sexually active women of reproductive age.
o
Institutional births.
p
Includes deliveries by cadres of health workers other than doctors, nurses and midwives – range not available.
q
Includes >15% of deliveries by cadres of health workers other than doctors, nurses and midwives.
170
r
Includes 5–15% of deliveries by cadres of health workers other than doctors, nurses and midwives.
s
Data pertain to men and women of reproductive age.
t
5 or more visits.
u
Estimate.
v
Adjusted.
w
3 or more visits.
x
Data pertain to nationals of the country.
y
Excluding the Northern Province.
z
Based on the Sudan Household Health Survey in Northern Sudan only.
aa
6 or more visits.
ab
Excluding Northern Ireland.
ac
Data pertain to men and women of reproductive age who are married or in union.
Table 5
Risk factors
a
WHO/UNICEF Joint Monitoring Programme for Water Supply and Sanitation. Geneva, World Health Organization and
UNICEF, 2010 (www.wssinfo.org/en/welcome.html).
b
WHO household energy database. Geneva, World Health Organization, 2010 (www.who.int/indoorair/database). These
estimates use methods developed and implemented by the WHO/UNICEF Joint Monitoring Programme for Water Supply
and Sanitation. Where solid fuel use information is available for two or more separate years (spaced at least five years apart)
linear regression is performed. The linear regression line is extrapolated up to two years after the latest survey point and up
to two years before the earliest survey point. Outside these time limits, the extrapolated regression line is flat for four years
in either direction. Where coverage reaches 0% or 100%, a horizontal line is drawn from the year before coverage reaches
0% or 100%. For countries with solid fuel use at less than <5%, 0% is assumed for the calculation of regional or global
aggregates; for countries with >95%, 95% is assumed in the calculation of the aggregate.
c
UNICEF global database on low birthweight. New York, UNICEF, 2009 (www.childinfo.org/low_birthweight_table.php –
November 2009 update).
d
WHO global data bank on infant and young child feeding. Geneva, World Health Organization, 2009 (www.who.int/
nutrition/databases/infantfeeding/en/index.html).
e
Global database on child growth and malnutrition. Geneva, World Health Organization, 2009 (www.who.int/nutgrowthdb/
database/en). Prevalence estimates are based on WHO standards.
f
Comparisons between countries may be limited owing to differences in sample characteristics or survey years. Source:
Global database on body mass index (BMI). Geneva, World Health Organization, 2010 (www.who.int/bmi).
g
Global information system on alcohol and health. Geneva, World Health Organization, 2010 (www.who.int/globalatlas/
DataQuery/default.asp).
h
Based on WHO report on the global tobacco epidemic, 2009: Implementing smoke-free environments. Geneva, World Health
Organization, 2009. See Appendix VII, Age-standardized prevalence estimates for WHO Member States, 2006. Definition:
smoking at the time of the survey of any form of tobacco, including cigarettes, cigars, pipes, bidis, etc. and excluding
smokeless tobacco. These figures represent age-standardized prevalence rates for smoking tobacco and should only be used
to draw comparisons of prevalence between countries and between men and women within a country. They should not be
used to calculate the number of smokers in a country, region, income group or globally.
i
WHO/CDC global youth tobacco survey (GYTS). Geneva, World Health Organization, 2010 (www.cdc.gov/tobacco/global/
GYTS/results.htm). Data relate to tobacco use in any form in the past 30 days.
j
Percentage of women and men aged 15–49 years who had more than one sexual partner in the past 12 months reporting
the use of a condom during their last sexual intercourse. Data is from Demographic and Health Surveys (DHS) and
excludes country-reported data. 2008 report on the global AIDS epidemic. Geneva, Joint United Nations Programme on
HIV/AIDS, World Health Organization, 2008. See Annex 2: Country Progress Indicators.
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Footnotes
k
Percentage of young men and women (aged 15–24 years) who both correctly identified ways of preventing the sexual
transmission of HIV and who reject major misconceptions about HIV transmission. The data are derived from
Demographic and Health Surveys (DHS) and Multiple Indicator Cluster Surveys (MICS) and exclude country-reported
data. 2008 report on the global AIDS epidemic. Geneva, Joint United Nations Programme on HIV/AIDS, World Health
Organization, 2008. See Annex 2: Country Progress Indicators.
l
Solid fuel use information is available for a single year; thus a horizontal line is drawn six years into the past and six years
into the future.
m
City surveys were extrapolated into country figures reported here.
n
For those upper-middle or high-income countries with a GDP of more than US$ 10 500 per capita in any given year, solid
fuel use is assumed to be less than 5% (Rehfuess, Mehta & Prüss-Üstün 2006).
o
Estimate includes significant tourist consumption.
p
Lower limit is greater than 15.
q
Upper limit is 49.
r
Upper limit is greater than or equal to 65.
s
Self-reported data.
t
Solid fuel use information is available for two or more separate years spaced four or fewer years apart; thus an average is
calculated. This average is extrapolated six years into the past and six years into the future.
u
Data not approved by national authorities.
v
Upper limit is between 54 and 65.
w
A horizontal line at 95% coverage or above, or at 5% coverage or below, can be extrapolated without limitations up to the
years 1990 and 2015 respectively.
x
Upper limit is 44.
Table 6
Health workforce, infrastructure and essential medicines
a
Source: WHO global atlas of the health workforce. Geneva, World Health Organization, 2009 (www.who.int/globalatlas/
autologin/hrh_login.asp). Please see this source for the latest updates, time-trend statistics and disaggregated data, as well
as metadata descriptors. In general, the denominator data for health workforce density (i.e. national population estimates)
were obtained from the World population prospects database of the United Nations Population Division (see Table 9
footnotes below). In some cases, official reports provided only workforce density indicators, from which estimates of the
absolute numbers were calculated. Depending on the organization of national health systems and means of monitoring,
data may not be exactly comparable across countries. Data from the years prior to 2000 were excluded from this edition.
b
Sources: PAHO basic indicators 2009. Washington, DC, Pan American Health Organization, 2009 (www.paho.org/
English/SHA/coredata/tabulator/newTabulator.htm); European health for all database (HFA-DB). Copenhagen, WHO
Regional Office for Europe, 2009 (http://data.euro.who.int/hfadb). Country health information profiles (CHIPS). Manila,
WHO Regional Office for the Western Pacific, 2009 (www.wpro.who.int/countries/countries.htm). Core health indicators
and MDGs. New Delhi, WHO Regional Office for South-East Asia, 2008 (http://203.90.70.117/esidas/CoreHealthData.
asp). Additional data compiled by the WHO Regional Office for Africa and WHO Regional Office for the Eastern
Mediterranean.
c
Source: Surveys of medicine prices and availability using WHO/HAI standard methodology conducted between 2001 and 2008
(www.haiweb.org/medicineprices/). In individual surveys, availability is reported as the percentage of medicine outlets in
which a medicine was found on the day of data collection. As baskets of medicines differ by individual country, results are
not exactly comparable across countries. Median availability is determined for the specific list of medicines in each survey,
and does not account for alternate dosage forms or strengths of these products or therapeutic alternatives. Public-sector
data may be limited by the fact that the list of survey medicines may not correspond to national essential medicines lists
(EMLs) where these exist, and some public-sector facilities may not be expected to stock all of the survey medicines. This
has been addressed in the revised edition of the survey tool, which allows public-sector data to be analysed by EML status
and level of care.
d
Consumer price ratio = ratio of median local unit price to the Management Sciences for Health (MSH) international
reference price of selected generic medicines. Source: Surveys of medicine prices and availability using WHO/HAI standard
172
methodology conducted between 2001 and 2008 (www.haiweb.org/medicineprices/). Data are unadjusted for differences
in the MSH reference price year used, exchange rate fluctuations, national inflation rates, variations in purchasing power
parities, levels of development or other factors. In each survey, median consumer price ratios are obtained for the basket of
medicines surveyed and found in at least four medicine outlets. As baskets of medicines differ by individual country, results
are not exactly comparable across countries. However, data on specific medicines is publicly available on the HAI web site
above, and matched basket comparisons on a subset of medicines can be made.
e
Hospital beds include inpatient and maternity beds, but not cots and delivery beds.
f
Did not survey public-sector medicine outlets.
g
Availability data were excluded as they were assessed using different methods to those used in the current WHO/HAI
methodology.
h
Refers to the public sector only.
i
Simple average of two surveys of medicine prices and availability in Shandong and Shanghai provinces, China.
j
Restricted to reimbursed medicines available through public-sector outlets.
k
Medicines are provided free to patients in the public sector.
l
Simple average of seven surveys of medicine prices and availability in India (Chennai, Haryana, Karnataka, Maharashtra
(12 districts); Maharashtra (4 regions); Rajasthan; and West Bengal).
m
Refers to tertiary public-hospital beds only.
n
Based on a survey of medicine prices and availability in Gauteng province, South Africa.
o
Simple average of four surveys of medicine prices and availability in Sudan (Gadarif; Khartoum; North Kordofan; and
Northern states).
Table 7
Health expenditure
a
Source: WHO National Health Accounts (NHA) Country health expenditure database. Geneva, World Health
Organization, February 2010 (www.who.int/nha/country/). The regional, income and global figures are calculated using
Purchasing Power Parity (PPP) terms. When the number is smaller than 0.05% the percentage may appear as zero. For per
capita expenditure indicators, this is represented as <1. In countries where the fiscal year begins in July, expenditure data
have been allocated to the later calendar year (for example, 2008 data will cover the fiscal year 2007–08). Absolute values
of expenditures are expressed in nominal terms (current prices). National currency unit per US$ are calculated using the
average exchange rates for the year. For 2008, the use of yearly average exchange rates (compared to year-end exchange
rates) may not fully represent the impact of the global financial crisis. GDP = gross domestic product.
b
In some cases the sum of general government and private expenditures on health may not add up to 100% because of
rounding.
c
A new PPP series resulting from the 2005 International Comparison Project (ICP) estimated by the World Bank has been
used since World health statistics 2008. In countries where this is not available, PPPs are estimated by WHO.
d
A new basis for these estimates was provided by new NHA reports, surveys, National Accounts series, accessed information
and/or country consultations.
e
Non-profit institutions (such as nongovernmental organizations) serving households are accounted for in “external
assistance” and recorded under government expenditure.
f
GDP includes both licit and illicit GDPs (for example, opium). Government expenditures include external assistance
(external budget).
g
Estimates should be viewed with caution as these are derived from scarce data.
h
About 30% of the expenditure in residential facilities for care of the aged has a health purpose, but this is difficult to
estimate routinely and so is not included under health at present. Such health-purpose expenditure was about US$ 2.1
billion in 2005–06 or 0.2% of GDP. The data for 2007 correspond to the fiscal year 2007–08 starting on 01 July 2007. All
2008 entries are estimates made by WHO unless otherwise specified.
i
Adjustments for currency change (from old to new manat) were made for the entire Azerbaijan series starting from World
health statistics 2008.
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Footnotes
j
Fiscal year starts in July and expenditure data have been allocated to the later calendar year (i.e. 2007 data cover the fiscal
year 2006–07).
k
Funds previously included in social security were reclassified.
l
A recent census in the country has shown differences in population data. However, the per capita levels used here are
estimated based on United Nations Population Division data.
m
Increases in government expenditure on health are due to investment in capital expenditures.
n
As a result of recent health-care reforms in Georgia, public compulsory insurance has since 2008 been implemented by
private insurance companies. The voucher cost of this insurance is treated as general government health expenditure.
o
Government expenditures show fluctuations due to variations in capital investment. Private-sector fluctuations are due to
the large share of nongovernmental organizations, which are linked to external funding.
p
Exchange rate changed in 2002 from multiple to a managed floating exchange rate. Inter-bank market rate used prior to
2002.
q
The estimates do not include expenditures for Northern Iraq.
r
The public expenditure on health includes contributions from the United Nations Relief and Works Agency for Palestine
Refugees in the Near East (UNRWA) made to refugees from West Bank and Gaza Strip residing in Jordanian territories.
s
Government expenditures in 2002 show a large increase due to capital investment.
t
Revision of the General Government Expenditure series can explain changes in public expenditure ratios.
u
After the declaration of independence on 03 June 2006, Serbia and Montenegro are now separate states. Health
expenditures for the previous years have been estimated separately for each of the two countries.
v
The market exchange rate is used to estimate the per capita figures.
w
Total level of government expenditure on health increased due to the inclusion of local government expenditure, as well as
a more-comprehensive estimation of regional expenditure on health.
x
The health expenditure data as well as the population data after 2000 do not include Transdniestria. Data on GDP and
private final consumption expenditure exclude Transdniestria from 1995.
y
The estimates do not include the expenditures of the provinces of Kosovo and Metohia, which are under the administration
of the United Nations.
z
The exchange rate used for the Syrian Arab Republic is the rate for non-commercial transactions from the Central Bank of
Syria.
aa
GDP does not include the income from petroleum.
ab
The country became independent in 2002. However, NHA estimates have been produced for previous years based on the
available macro data.
ac
Until 2007 the fiscal year ended in June. There was then a transition period in the second quarter of 2007 to make the
fiscal year equal to the calendar year. Expenditure data have been allocated exceptionally to the previous calendar year (i.e.
2005 data cover the fiscal year 2005–06).
ad
On 01 January 2009 Turkmenistan introduced the new manat ISO code TMT. The exchange rate between the old and the
new currency is 1 TMT = 5000 TMM. The entire health expenditure series has been adjusted.
Table 8
a
Health inequities
Sources: Unless otherwise stated, data are derived from Demographic and Health Surveys (DHS) conducted since 2000. The
DHS figures were extracted using STATcompiler software (www.measuredhs.com/ – accessed 08 January 2010). When not
available using STATcompiler software, figures were extracted directly from DHS reports. For some countries and some of the
indicators there were differences in the figures extracted from the country reports and STATcompiler. In these cases, following
discussions with staff from the MEASURE DHS implementation group (ICF Macro), data from the country reports were
used. Further information regarding the source of individual country data can be obtained on request from WHO. Figures in
the “difference” columns may be affected by rounding.
174
b
Data derived from DHS relate to births occurring in the five years preceding the survey, unless otherwise stated. Data derived
from MICS relate to births occurring in the two years preceding the survey.
c
The data refer to coverage of measles or MMR (measles, mumps, rubella) vaccine at 12, 15, 18, 24 or 30 months depending
on the country.
d
For all countries where the source is DHS, the under-five mortality rate relates to the decade preceding the survey, except for
Turkey where it relates to the five-year period preceding the survey.
e
Lowest educational level achieved by mother is “no education”; highest level is “secondary or higher”.
f
Data are derived from MICS (round 3). All MICS figures were extracted from country reports available on the UNICEF web
site (www.childinfo.org/ – accessed 13 February 2009; updated 08 January 2010).
g
The figures in parentheses are based on small numbers of cases (25–49 unweighted cases).
h
The figures were extracted directly from DHS reports as they were not available through STATcompiler software (www.
measuredhs.com/ – accessed 08 January 2010).
i
Data for “births attended by skilled health personnel” relate to births occurring in the three years preceding the survey.
Table 9
Demographic and socioeconomic statistics
a
World population prospects: the 2008 revision. New York, Population Division, Department of Economic and Social Affairs,
United Nations Secretariat, 2009.
b
United Nations demographic yearbook 2007. New York, United Nations Statistics Division, 2009 (http://unstats.un.org/
unsd/Demographic/Products/dyb/dyb2007.htm).
c
WHO mortality database: tables. Geneva, World Health Organization, 2009 (www.who.int/healthinfo/morttables).
d
World fertility data 2008. New York, Department of Economic and Social Affairs, Population Division, United Nations
Secretariat, 2009 (POP/DB/Fert/Rev.2008).
e
UNESCO Institute for Statistics data centre. Montreal, UNESCO Institute for Statistics, 2007 (http://stats.uis.unesco.org –
accessed 18 December 2009).
f
PPP int. $ = Purchasing Power Parity at international dollar rate. World development indicators database, 2009. Washington,
DC, World Bank, 2009 (www.worldbank.org/data).
g
World development indicators database, 2009. Washington, DC, World Bank, 2009 (www.worldbank.org/data). These
figures reflect the World Bank default poverty line.
h
The standard definition includes the percentage of children less than 5 years of age who were registered at the moment of
the survey. The numerator of this indicator includes children whose birth certificate was seen by the interviewer, or whose
mother or carer says the birth has been registered. The state of the world’s children 2009: Maternal and newborn health. New
York, United Nations Children’s Fund, 2009.
i
International data base (IDB). Washington, DC, US Census Bureau, 2009 (www.census.gov/ipc/www/idb – accessed 12
January 2010).
j
The number of women by age were estimated by the United Nations Population Division and published in the World
population prospects revision 2006.
k
Differs from the standard definition.
l
For statistical purposes, the data for China do not include Hong Kong and Macao Special Administrative Regions of
China.
m
Data pertain to nationals of the country.
n
Data pertain to Saudi women only.
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Footnotes
WHO regions2
WHO African Region: Algeria, Angola, Benin, Botswana, Burkina Faso, Burundi, Cameroon, Cape Verde, Central
African Republic, Chad, Comoros, Congo, Côte d’Ivoire, Democratic Republic of the Congo, Equatorial Guinea, Eritrea*,
Ethiopia, Gabon, Gambia, Ghana, Guinea, Guinea-Bissau, Kenya, Lesotho, Liberia, Madagascar, Malawi, Mali, Mauritania,
Mauritius, Mozambique, Namibia, Niger, Nigeria, Rwanda, Sao Tome and Principe, Senegal, Seychelles, Sierra Leone, South
Africa, Swaziland, Togo, Uganda, United Republic of Tanzania, Zambia, Zimbabwe.
WHO Region of the Americas: Antigua and Barbuda, Argentina, Bahamas, Barbados, Belize, Bolivia (Plurinational State
of ), Brazil, Canada, Chile, Colombia, Costa Rica, Cuba, Dominica, Dominican Republic, Ecuador, El Salvador, Grenada,
Guatemala, Guyana, Haiti, Honduras, Jamaica, Mexico, Nicaragua, Panama, Paraguay, Peru, Saint Kitts and Nevis, Saint
Lucia, Saint Vincent and the Grenadines, Suriname, Trinidad and Tobago, United States of America, Uruguay, Venezuela
(Bolivarian Republic of ).
WHO South-East Asia Region: Bangladesh, Bhutan, Democratic People’s Republic of Korea, India, Indonesia, Maldives,
Myanmar, Nepal, Sri Lanka, Thailand, Timor-Leste*.
WHO European Region: Albania, Andorra*, Armenia*, Austria, Azerbaijan*, Belarus, Belgium, Bosnia and Herzegovina*,
Bulgaria, Croatia*, Cyprus, Czech Republic*, Denmark, Estonia*, Finland, France, Georgia*, Germany, Greece, Hungary,
Iceland, Ireland, Israel, Italy, Kazakhstan*, Kyrgyzstan*, Latvia*, Lithuania*, Luxembourg, Malta, Monaco, Montenegro*,
Netherlands, Norway, Poland, Portugal, Republic of Moldova*, Romania, Russian Federation, San Marino, Serbia*,
Slovakia*, Slovenia*, Spain, Sweden, Switzerland, Tajikistan*, The former Yugoslav Republic of Macedonia*, Turkey,
Turkmenistan*, Ukraine, United Kingdom, Uzbekistan*.
WHO Eastern Mediterranean Region: Afghanistan, Bahrain, Djibouti, Egypt, Iran (Islamic Republic of ), Iraq, Jordan,
Kuwait, Lebanon, Libyan Arab Jamahiriya, Morocco, Oman, Pakistan, Qatar, Saudi Arabia, Somalia, Sudan, Syrian Arab
Republic, Tunisia, United Arab Emirates, Yemen.
WHO Western Pacific Region: Australia, Brunei Darussalam, Cambodia, China, Cook Islands, Fiji, Japan, Kiribati, Lao
People’s Democratic Republic, Malaysia, Marshall Islands*, Micronesia (Federated States of )*, Mongolia, Nauru*, New
Zealand, Niue*, Palau*, Papua New Guinea, Philippines, Republic of Korea, Samoa, Singapore, Solomon Islands, Tonga,
Tuvalu*, Vanuatu, Viet Nam.
Income groups3
Low income: Afghanistan, Bangladesh, Benin, Burkina Faso, Burundi, Cambodia, Central African Republic, Chad,
Comoros, Democratic People’s Republic of Korea, Democratic Republic of the Congo, Eritrea, Ethiopia, Gambia, Ghana,
Guinea, Guinea-Bissau, Haiti, Kenya, Kyrgyzstan, Lao People’s Democratic Republic, Liberia, Madagascar, Malawi, Mali,
Mauritania, Mozambique, Myanmar, Nepal, Niger, Rwanda, Senegal, Sierra Leone, Somalia, Tajikistan, Togo, Uganda,
United Republic of Tanzania, Uzbekistan, Viet Nam, Yemen, Zambia, Zimbabwe.
Lower middle income: Albania, Angola, Armenia, Azerbaijan, Belize, Bhutan, Bolivia (Plurinational State of ), Cameroon,
Cape Verde, China, Congo, Côte d’Ivoire, Djibouti, Ecuador, Egypt, El Salvador, Georgia, Guatemala, Guyana, Honduras,
India, Indonesia, Iran (Islamic Republic of ), Iraq, Jordan, Kiribati, Lesotho, Maldives, Marshall Islands, Micronesia
(Federated States of ), Mongolia, Morocco, Nicaragua, Nigeria, Pakistan, Papua New Guinea, Paraguay, Philippines,
Republic of Moldova, Samoa, Sao Tome and Principe, Solomon Islands, Sri Lanka, Sudan, Swaziland, Syrian Arab Republic,
Thailand, Timor-Leste, Tonga, Tunisia, Turkmenistan, Tuvalu**, Ukraine, Vanuatu.
2
Member States indicated with an * may have data for periods prior to their official membership of WHO.
3
World Bank list of economies (July 2009). Washington, DC, World Bank, July 2009: http://siteresources.worldbank.org/DATASTATISTICS/Resources/CLASS.XLS
Member States marked with an ** have been classified into income groups using gross domestic product.
176
Upper middle income: Algeria, Argentina, Belarus, Bosnia and Herzegovina, Botswana, Brazil, Bulgaria, Chile, Colombia,
Cook Islands**, Costa Rica, Cuba, Dominica, Dominican Republic, Fiji, Gabon, Grenada, Jamaica, Kazakhstan, Latvia,
Lebanon, Libyan Arab Jamahiriya, Lithuania, Malaysia, Mauritius, Mexico, Montenegro, Namibia, Nauru**, Niue**, Palau,
Panama, Peru, Poland, Romania, Russian Federation, Saint Kitts and Nevis, Saint Lucia, Saint Vincent and the Grenadines,
Serbia, Seychelles, South Africa, Suriname, The former Yugoslav Republic of Macedonia, Turkey, Uruguay, Venezuela
(Bolivarian Republic of ).
High income: Andorra, Antigua and Barbuda, Australia, Austria, Bahamas, Bahrain, Barbados, Belgium, Brunei
Darussalam, Canada, Croatia, Cyprus, Czech Republic, Denmark, Equatorial Guinea, Estonia, Finland, France, Germany,
Greece, Hungary, Iceland, Ireland, Israel, Italy, Japan, Kuwait, Luxembourg, Malta, Monaco, Netherlands, New Zealand,
Norway, Oman, Portugal, Qatar, Republic of Korea, San Marino, Saudi Arabia, Singapore, Slovakia, Slovenia, Spain,
Sweden, Switzerland, Trinidad and Tobago, United Arab Emirates, United Kingdom, United States of America.
177
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