Statistics and indicators on women and men

 

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Table 3c. HIV/AIDS
Last Update: June 2011
 
2009
2009
Algeria
17
 
[12 - 24]
  31
Angola
180
 
[140 - 220]
  61
Argentina
110
 
[87 - 140]
  33
Armenia
1.9
 
[1.5 - 2.3]
  ...
Australia
20
 
[15 - 25]
  31
Austria
15
 
[12 - 20]
  31
Azerbaijan
3.5
 
[2.5 - 5.1]
  60
Bahamas
6.1
 
[2.4 - 11]
  61
Bangladesh
6.2
 
[51 - 81]
  31
Barbados
2.1
 
[18 - 25]
  ...
Belarus
16
 
[13 - 20]
  52
Belgium
14
 
[11 - 18]
  31
Belize
4.4
 
[36 - 53]
  59
Benin
55
 
[48 - 63]
  58
Bhutan
<1
 
[<1 - 15]
  ...
Bolivia (Plurinational State of)
11
 
[8.4 - 15]
  33
Botswana
300
 
[280 - 330]
  57
Brazil
 
[450 - 800]
  ...
Bulgaria
3.8
 
[27 - 52]
  29
Burkina Faso
93
 
[77 - 120]
  60
Burundi
150
 
[130 - 160]
  60
Cambodia
56
 
[38 - 82]
  63
Cameroon
550
 
[500 - 610]
  58
Canada
68
 
[53 - 83]
  31
Central African Republic
110
 
[98 - 120]
  61
Chad
180
 
[150 - 280]
  61
Chile
39
 
[31 - 50]
  31
China
730
 
[530 - 1000]
  32
Colombia
150
 
[120 - 200]
  33
Comoros
<0.5
 
[<0.2 - <0.5]
  ...
Congo
69
 
[61 - 78]
  58
Costa Rica
9.6
 
[7.3 - 12]
  29
Croatia
<1
 
[<1 - 1.1]
  ...
Cuba
7
 
[5.6 - 8.8]
  31
Czech Republic
2
 
[1.7 - 2.3]
  ...
Côte d'Ivoire
380
 
[340 - 440]
  58
Democratic Republic of the Congo
<0.1
 
[380 - 490]
  ...
Denmark
5.3
 
[4 - 6.3]
  26
Djibouti
13
 
[9.4 - 16]
  57
Dominican Republic
54
 
[45 - 62]
  59
Ecuador
36
 
[27 - 49]
  31
Egypt
10
 
[8.1 - 16]
  24
El Salvador
32
 
[24 - 42]
  34
Equatorial Guinea
18
 
[13 - 23]
  61
Eritrea
22
 
[16 - 29]
  59
Estonia
9.8
 
[8 - 12]
  31
Fiji
<1
 
[<0.5 - <1]
  ...
Finland
2.6
 
[2.2 - 3.1]
  ...
France
150
 
[120 - 190]
  32
Gabon
43
 
[35 - 51]
  58
Gambia
17
 
[11 - 24]
  57
Georgia
3.4
 
[2.5 - 4.8]
  44
Germany
67
 
[56 - 75]
  18
Ghana
240
 
[210 - 270]
  58
Greece
8.8
 
[7.3 - 11]
  31
Guatemala
60
 
[45 - 79]
  33
Guinea
70
 
[58 - 84]
  59
Guinea-Bissau
20
 
[16 - 24]
  60
Guyana
5.5
 
[2.4 - 8.2]
  51
Haiti
110
 
[95 - 130]
  61
Honduras
37
 
[24 - 49]
  32
Hungary
3
 
[2.2 - 3.9]
  ...
Iceland
<1
 
[<0.5 - <1]
  ...
India
2300
 
[2000 - 2600]
  38
Indonesia
300
 
[200 - 460]
  29
Iran (Islamic Republic of)
91
 
[72 - 110]
  29
Ireland
6.9
 
[5.2 - 8.7]
  29
Israel
7.5
 
[5.6 - 9.9]
  29
Italy
140
 
[110 - 180]
  34
Jamaica
31
 
[20 - 43]
  32
Japan
8.1
 
[6.3 - 10]
  33
Kazakhstan
13
 
[8.9 - 19]
  59
Kenya
1300
 
[1200 - 1400]
  58
Kyrgyzstan
9.7
 
[6.4 - 16]
  29
Lao People's Democratic Republic
8.3
 
[5.8 - 12]
  42
Latvia
8.6
 
[6.3 - 11]
  30
Lebanon
3.4
 
[2.6 - 4.6]
  32
Lesotho
260
 
[240 - 280]
  62
Liberia
31
 
[27 - 37]
  61
Lithuania
1.2
 
[<1 - 1.6]
  ...
Luxembourg
<1
 
[<1 - 1.2]
  ...
Madagascar
23
 
[18 - 28]
  32
Malawi
800
 
[730 - 890]
  59
Malaysia
100
 
[83 - 120]
  11
Maldives
<0.1
 
[<0.1 - <0.1]
  ...
Mali
66
 
[52 - 84]
  61
Malta
<0.5
 
[<0.5 - <0.5]
  ...
Mauritania
13
 
[11 - 16]
  31
Mauritius
8.7
 
[6.3 - 12]
  29
Mexico
220
 
[180 - 270]
  27
Mongolia
<0.5
 
[<0.5 - <1]
  ...
Morocco
25
 
[19 - 33]
  32
Mozambique
1200
 
[1100 - 1400]
  63
Myanmar
230
 
[190 - 280]
  35
Namibia
160
 
[140 - 190]
  59
Nepal
60
 
[48 - 75]
  33
Netherlands
22
 
[17 - 32]
  31
New Zealand
2.4
 
[2 - 3.2]
  ...
Nicaragua
6.7
 
[5 - 8.9]
  31
Niger
53
 
[43 - 67]
  53
Nigeria
2900
 
[2600 - 3200]
  59
Norway
4
 
[3 - 5.4]
  30
Oman
1.1
 
[<1 - 1.4]
  ...
Pakistan
95
 
[76 - 120]
  29
Panama
20
 
[13 - 36]
  32
Papua New Guinea
31
 
[27 - 35]
  58
Paraguay
12
 
[9.6 - 16]
  32
Peru
73
 
[56 - 98]
  25
Philippines
8.6
 
[6 - 13]
  30
Poland
27
 
[20 - 34]
  30
Portugal
42
 
[32 - 53]
  31
Qatar
<0.2
 
[<0.1 - <0.2]
  ...
Republic of Korea
9.5
 
[7 - 13]
  31
Republic of Moldova
12
 
[9.8 - 15]
  43
Romania
15
 
[11 - 20]
  31
Russian Federation
960
 
[830 - 1100]
  50
Rwanda
140
 
[120 - 160]
  63
Senegal
54
 
[46 - 63]
  59
Serbia
4.9
 
[3.4 - 7.1]
  24
Sierra Leone
46
 
[38 - 59]
  61
Singapore
3.3
 
[2.4 - 4.3]
  30
Slovakia
<0.5
 
[<0.5 - <0.5]
  ...
Slovenia
<1
 
[<0.5 - <0.5]
  ...
Somalia
32
 
[23 - 46]
  47
South Africa
5300
 
[5100 - 5500]
  62
Spain
130
 
[120 - 150]
  25
Sri Lanka
2.8
 
[2.1 - 3.7]
  ...
Sudan
250
 
[200 - 310]
  56
Suriname
3.6
 
[2.7 - 5.1]
  31
Swaziland
170
 
[160 - 180]
  59
Sweden
8.1
 
[6.1 - 11]
  31
Switzerland
18
 
[13 - 24]
  32
Tajikistan
8.9
 
[6.3 - 12]
  30
Thailand
520
 
[410 - 640]
  40
Togo
110
 
[91 - 140]
  61
Trinidad and Tobago
14
 
[11 - 19]
  34
Tunisia
2.4
 
[1.7 - 3.3]
  ...
Turkey
4.5
 
[3.3 - 6.1]
  31
Uganda
1000
 
[940 - 1100]
  61
Ukraine
350
 
[300 - 410]
  49
United Kingdom
85
 
[66 - 110]
  31
United Republic of Tanzania
1200
 
[1100 - 1400]
  61
United States of America
1200
 
[930 - 1700]
  26
Uruguay
9.6
 
[8.1 - 11]
  32
Uzbekistan
28
 
[18 - 45]
  29
Viet Nam
270
 
[220 - 350]
  30
Zambia
860
 
[800 - 940]
  57
Zimbabwe
1000
 
[950 - 1200]
  62

 

Footnotes:

Data not available.

 

Sources:

Estimated number of adults (15+) living with HIV/AIDS
World Health Organization(WHO). http://apps.who.int/ghodata/#, (accessed June 2011).

Women's share among adults (15+) living with HIV/AIDS
Calculated by the United Nations Statistics Division based on estimates, by sex, of the number of adults (15+) with HIV/AIDS from data of World Health Organization(WHO). http://apps.who.int/ghodata/#, (accessed June 2011).

 

Technical notes:

The estimated number of adults living with HIV/AIDS includes all people aged 15 and above with HIV infection regardless of whether or not they have developed symptoms of AIDS. The estimates have been produced and compiled by UNAIDS/WHO in consultation with national AIDS programmes, although they are not necessarily the official estimates used by national governments. The methods and parameters used to generate the UNAIDS/WHO estimates have been described in a series of papers published in Sexually Transmitted Infections, “Improved methods and tools for HIV/AIDS estimates and projections,” 2006, 82 (Suppl.) and 2004, 80 (Suppl.).

The ranges presented in the table are “plausibility bounds” which reflect the certainty associated with each of the estimates. The wider the range, the greater the uncertainty surrounding an estimate. The extent of uncertainty depends mainly on the type of epidemic, and the quality, coverage and consistency of a country’s surveillance system and, in generalized epidemics, on whether or not a population-based survey with HIV testing has been conducted.

The percentage of women among adults living with HIV/AIDS was calculated by dividing the estimated number of adult women (15+) living with HIV by the estimated total number of adults (15+) living with HIV and multiplying the resulting figure by 100.