Statistics and indicators on women and men

 

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Table 3c. HIV/AIDS
Last Update: June 2009
   
Algeria
21
[11   - 43]
   
29
Angola
180
[140 - 210]
   
61
Argentina
120
[88   - 150]
   
27
Armenia
2
[1.7 - 3.5]
   
Australia
18
[11   - 36]
   
7
Austria
10
[7.6 - 13]
   
30
Azerbaijan
8
[4.7 - 16]
   
17
Bahamas
6
[3.9 - 8.6]
   
26
Bangladesh
12
[7.6 - 19]
   
17
Barbados
2
[1.5 - 3.2]
   
Belarus
13
[10   - 18]
   
30
Belgium
15
[8.9 - 29]
   
27
Belize
3
[2.1 - 5]
   
59
Benin
59
[53 - 67]
   
63
Bhutan
<0.5
[<1]
   
Bolivia
8
[6.3 - 10]
   
28
Botswana
280
[270 - 300]
   
61
Brazil
710
[580 - 870]
   
34
Burkina Faso
120
[100 - 140]
   
51
Burundi
90
[66 - 120]
   
59
Cambodia
70
[63 - 80]
   
29
Cameroon
500
[390 - 590]
   
60
Canada
73
[43 - 110]
   
27
Central African Republic
140
[130 - 150]
   
65
Chad
180
[110 - 220]
   
61
Chile
31
[23 - 39]
   
28
China
690
[450 - 1 000]
   
29
Colombia
160
[110 - 230]
   
29
Comoros
<0.2
[<1]
   
Congo
73
[59 - 86]
   
59
Costa Rica
10
[6 - 15]
   
28
Côte d'Ivoire
420
[350 - 490]
   
60
Cuba
6
[3.6 - 12]
   
29
Czech Republic
2
[<1 - 2.8]
   
Democratic Republic of the Congo
...
[360 - 450]
   
Denmark
5
[3.7 - 6.9]
   
23
Djibouti
15
[11 - 18]
   
58
Dominican Republic
59
[50 - 69]
   
51
Ecuador
25
[14 - 39]
   
28
Egypt
9
[7.1 - 12]
   
29
El Salvador
34
[23 - 67]
   
29
Equatorial Guinea
10
[7.4 - 13]
   
60
Eritrea
35
[22 - 54]
   
60
Estonia
10
[5.3 - 18]
   
24
Ethiopia
890
[800 - 970]
   
60
Fiji
...
[<0.5]
   
Finland
2
[1.4 - 4.4]
   
France
140
[78 - 240]
   
27
Gabon
46
[35 - 65]
   
59
Gambia
8
[3.4 - 12]
   
60
Georgia
3
[1.5 - 6.1]
   
Germany
52
[31 - 97]
   
29
Ghana
250
[220 - 280]
   
60
Greece
11
[6.1 - 19]
   
27
Guatemala
53
[35   - 77]
   
98
Guinea
81
[67 - 110]
   
59
Guinea-Bissau
15
[10   - 21]
   
58
Guyana
12
[7.2 - 17]
   
59
Haiti
110
[95 - 130]
   
53
Honduras
26
[17 - 42]
   
28
Hungary
3
[2 - 5.9]
   
Iceland
<0.5
[<1]
   
India
2 300
[1 700 - 3 100]
   
38
Indonesia
270
[190 - 400]
   
20
Iran (Islamic Republic of)
85
[67 - 110]
   
28
Ireland
6
[4.1 - 7.7]
   
27
Israel
5
[2.5 - 12]
   
59
Italy
150
[110 - 210]
   
27
Jamaica
26
[19 - 35]
   
29
Japan
10
[7.9 - 10]
   
24
Kazakhstan
12
[6.9 - 29]
   
28
Kenya 1
...
[1 400 - 1 800]
   
Kyrgyzstan
4
[2.2 - 7.6]
   
26
Lao People's Democratic Republic
5
[3.3 - 13]
   
24
Latvia
10
[7.3 - 15]
   
27
Lebanon
3
[1.6 - 7.1]
   
Lesotho
260
[250 - 270]
   
58
Liberia
32
[26 - 37]
   
59
Lithuania
2
[1.2 - 4.6]
   
Luxembourg
[<1]
   
Madagascar
13
[8.8 - 22]
   
26
Malawi
840
[780 - 900]
   
58
Malaysia
79
[51 - 120]
   
27
Maldives
...
[<0.1]
   
Mali
93
[79 - 110]
   
60
Malta
200
[<0.5]
   
Mauritania
14
[8.1 - 25]
   
28
Mauritius
13
[7.4 - 28]
   
29
Mexico
200
[140 - 300]
   
29
Mongolia
<1
[<0.5 - 1.5]
   
Morocco
21
[15 - 31]
   
28
Mozambique
1 400
[1 200 -1 600]
   
58
Myanmar
240
[150 - 360]
   
42
Namibia
180
[150 - 220]
   
61
Nepal
68
[49 - 97]
   
25
Netherlands
18
[10 - 32]
   
27
New Zealand
1
[<1 - 2.6]
   
Nicaragua
8
[5.2 - 15]
   
28
Niger
56
[42 - 81]
   
30
Nigeria
2 400
[1 600 - 2 900]
   
58
Norway
3
[1.7 - 5]
   
Pakistan
94
[68 - 150]
   
29
Panama
19
[15 - 26]
   
29
Papua New Guinea
53
[52 - 54]
   
40
Paraguay
20
[12 - 37]
   
29
Peru
74
[55 - 96]
   
28
Philippines
8
[5.9 - 11]
   
27
Poland
19
[11 - 34]
   
29
Portugal
34
[20 - 63]
   
28
Republic of Korea
13
[7.5 - 42]
   
28
Republic of Moldova
9
[6 - 15]
   
30
Romania
14
[11 - 16]
   
50
Russian Federation
940
[630 - 1 300]
   
26
Rwanda
130
[120 - 150]
   
60
Senegal
64
[45 - 92]
   
59
Serbia
6
[3.9 - 12]
   
28
Sierra Leone
51
[38 - 72]
   
59
Singapore
4
[2.5 - 7.2]
   
29
Slovakia
<0.5
[<1]
   
Slovenia
<0.5
[<1]
   
Somalia
24
[13 - 43]
   
28
South Africa
5 400
[4 700   - 6 200]
   
59
Spain
140
[80 - 230]
   
20
Sri Lanka
4
[2.8 - 5]
   
38
Sudan
290
[190 - 420]
   
59
Suriname
7
[4.2 - 12]
   
28
Swaziland
170
[160   - 180]
   
59
Sweden
6
[3.5 - 11]
   
47
Switzerland
25
[14 - 43]
   
37
Tajikistan
10
[4.9 - 23]
   
21
Thailand
600
[400 - 860]
   
42
The former Yugoslav Republic of Macedonia
<0.5
[<1]
   
Togo
120
[97   - 140]
   
58
Trinidad and Tobago
13
[9.2 - 19]
   
59
Tunisia
4
[2.6 - 5.4]
   
28
Turkmenistan
<0.5
[<1]
   
Uganda
810
[740 - 910]
   
59
Ukraine
430
[330 - 530]
   
44
United Kingdom of Great Britain and Northern Ireland
77
[37 - 160]
   
29
United Republic of Tanzania
1 300
[1 200 - 1 400]
   
58
United States of America
1 100
[690 - 1 900]
   
21
Uruguay
10
[5.8 - 19]
   
28
Uzbekistan
16
[8 - 44]
   
29
Viet Nam
280
[170 - 470]
   
27
Zambia
980
[920 - 1 100]
   
57
Zimbabwe
1 200
[1 100 - 1 300]
   
57

Sources:

Estimated number of adults (15+) living with HIV/AIDS
Joint United Nations Programme on HIV/AIDS (UNAIDS). 2008 Report on the global AIDS epidemic, (accessed December 2008).

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 published by the Joint United Nations Programme on HIV/AIDS (UNAIDS) in 2008 Report on the global AIDS epidemic, (accessed December 2008).

Footnotes:

1 At the time of production of the current report, analyses incorporating new data from a population based survey with data from other sources were ongoing. This is why only ranges are published based on preliminary analysis. As soon as updated final estimates are available, they will be published on the UNAIDS website.

 

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.