Spreadsheet: 88eda030-0fb4-4c43-bb87-47ba0b3823b5
Sheet: Vulnerability and HIV knowledge

Vulnerability and HIV Knowledge |  |  |  |  | 2008 | 2007 | 2006-2007 | 2006 | 2005 | 2004 | 2003-2004 | 1999-2000 | 1996-1997
Key populations at higher risk HIV knowledge
 | People who inject drugs (PWID)
 | Comprehensive knowledge of HIV among people who inject drugs | Percent | Male |  |  | 20 ( 1 ) | 20.2 ( 21 )
 |  |  | Male <25 yr |  |  | 30.5 ( 1 )
 |  |  | Male 25+ yr |  |  | 18.7 ( 1 )
 |  |  | Total |  |  |  |  |  | 14 ( 1 ) |  | 14.3 ( 7 )
 | Men who have sex with men (MSM) and [NAME])
 | Comprehensive knowledge of HIV among men who have sex with men | Percent | Total |  |  | 27 ( 49 ) | 27.3 ( 21 ) |  | 14 ( 49 ) |  | 13.2 ( 7 )
 |  |  | Total <25 yr |  |  | 22.6 ( 49 )
 |  |  | Total 25+ yr |  |  | 29.7 ( 49 )
 | Comprehensive knowledge of HIV among transgender/Hijra/Waria | Percent | Total |  |  |  | 55.2 ( 7 ) |  |  |  | 3.7 ( 7 )
 | Sex workers (SWs)
 | Comprehensive knowledge of HIV among sex workers | Percent | FSWs |  |  | 31 ( 1 ) | 30.8 ( 21 ) |  |  |  | 24 ( 7 )
 |  |  | [NAME] |  |  |  |  |  |  |  | 36.6 ( 18 )
 |  |  | FSWs Hotel-based |  |  |  |  |  |  |  | 32.1 ( 18 )
 |  |  | FSWs Street-based |  |  |  |  |  |  |  | 12.7 ( 18 )
 |  |  | MSWs |  |  | 30 ( 1 ) | 29.6 ( 21 ) |  |  |  | 28.2 ( 18 )
 |  |  | Total |  |  | 31 ( 1 ) |  |  | 23 ( 1 )
 |  |  | Total <25 yr |  |  | 28.8 ( 1 )
 |  |  | Total 25+ yr |  |  | 35 ( 1 )
Populations at higher risk HIV knowledge
 | Comprehensive knowledge of HIV among heroin smokers | Percent | Total |  |  |  | 19.4 ( 7 ) |  |  |  | 4.8 ( 18 )
 | Comprehensive knowledge of HIV among high-risk occupation group (proxy for clients of female sex workers) | Percent | [NAME] pullers |  |  |  | 12.1 ( 7 ) |  |  |  | 6.0 ( 18 )
 |  |  | Truck drivers |  |  |  | 7.7 ( 7 ) |  |  |  | 19.8 ( 18 )
Populations at lower risk HIV knowledge
 | Adults (15-49) who correctly identified 3 misconceptions about transmission of HIV | Percent | City corporations Female |  |  |  |  | 32.9 ( 2 )
 |  |  | Female |  |  |  |  | 16.4 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 22.3 ( 2 )
 |  |  | Female 15-24 yr |  |  |  |  | 21.2 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 19.9 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 17.5 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 13.2 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 12.5 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 11.1 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 8.2 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 4.6 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 4 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 13.9 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 8.4 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 42.3 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 24.3 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 20.2 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 13 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 4.4 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 33.6 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 7.2 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 34.2 ( 2 )
 |  |  | Rural Female |  |  |  |  | 12 ( 2 )
 |  |  | [NAME] |  |  |  |  | 16.4 ( 2 )
 |  |  | [NAME] |  |  |  |  | 10.6 ( 2 )
 |  |  | Urban Female |  |  |  |  | 26 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 23 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 16.2 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 10 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 20.7 ( 2 )
 |  |  | Female | Khulna |  |  |  | 18.7 ( 2 )
 |  |  | Female | Barisal |  |  |  | 11.8 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 12.6 ( 2 )
 | Adults (15-49) who do not know all 3 ways of mother-to-child transmission of HIV | Percent | City corporations Female |  |  |  |  | 5.6 ( 2 )
 |  |  | Female |  |  |  |  | 4.2 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 4.7 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 4.5 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 3.9 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 3.9 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 3.8 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 3.7 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 4.2 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 3.6 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 3.9 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 4.6 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 4.3 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 3.9 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 4.7 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 4.7 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 4.5 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 3.1 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 4.6 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 3.8 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 5.7 ( 2 )
 |  |  | Rural Female |  |  |  |  | 4 ( 2 )
 |  |  | [NAME] |  |  |  |  | 4 ( 2 )
 |  |  | [NAME] |  |  |  |  | 2.7 ( 2 )
 |  |  | Urban Female |  |  |  |  | 4.6 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 4.2 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 3.9 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 3.2 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 5.1 ( 2 )
 |  |  | Female | Khulna |  |  |  | 3.6 ( 2 )
 |  |  | Female | Barisal |  |  |  | 3.2 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 4 ( 2 )
 | Adults (15-49) who do not know any way of HIV prevention | Percent | City corporations Female |  |  |  |  | 17.4 ( 2 )
 |  |  | Female |  |  |  |  | 44.7 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 32.2 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 35.1 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 42.5 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 49.9 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 52.8 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 58.8 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 65.3 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 73.1 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 72.7 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 43.2 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 56.1 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 5 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 22.1 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 29.7 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 47.9 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 74.4 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 15.4 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 63.2 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 15.9 ( 2 )
 |  |  | Rural Female |  |  |  |  | 52.9 ( 2 )
 |  |  | [NAME] |  |  |  |  | 36 ( 2 )
 |  |  | [NAME] |  |  |  |  | 70.7 ( 2 )
 |  |  | Urban Female |  |  |  |  | 26.1 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 29.9 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 43.8 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 56.4 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 38.1 ( 2 )
 |  |  | Female | Khulna |  |  |  | 33.9 ( 2 )
 |  |  | Female | Barisal |  |  |  | 48.1 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 55.2 ( 2 )
 | Adults (15-49) who have ever heard of HIV/AIDS | Percent | City corporations Female |  |  |  |  | 91 ( 2 )
 |  |  | Female |  |  |  |  | 65.1 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 78.1 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 73.6 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 66.8 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 60.1 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 57 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 51.2 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 45.9 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 36.6 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 38 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 70.2 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 56.2 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 98.9 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 87.7 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 80.8 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 63.5 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 34.8 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 92.3 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 47.3 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 92.2 ( 2 )
 |  |  | Rural Female |  |  |  |  | 57.2 ( 2 )
 |  |  | [NAME] |  |  |  |  | 75.9 ( 2 )
 |  |  | [NAME] |  |  |  |  | 35.3 ( 2 )
 |  |  | Urban Female |  |  |  |  | 83.2 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 79.8 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 64.8 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 53.7 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 72.7 ( 2 )
 |  |  | Female | Khulna |  |  |  | 75 ( 2 )
 |  |  | Female | Barisal |  |  |  | 63.3 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 54.3 ( 2 )
 | Adults (15-49) who know all 3 ways of mother-to-child transmission of HIV | Percent | City corporations Female |  |  |  |  | 68.5 ( 2 )
 |  |  | Female |  |  |  |  | 47.8 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 55.4 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 54.2 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 50 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 45.3 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 42.5 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 37.8 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 33.6 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 25.5 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 26.7 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 51.6 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 40.4 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 74.6 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 65.6 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 60.5 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 45.9 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 24.5 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 69.6 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 33.2 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 69.3 ( 2 )
 |  |  | Rural Female |  |  |  |  | 41.3 ( 2 )
 |  |  | [NAME] |  |  |  |  | 58.8 ( 2 )
 |  |  | [NAME] |  |  |  |  | 25.8 ( 2 )
 |  |  | Urban Female |  |  |  |  | 62.6 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 60 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 47.8 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 42.2 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 51.3 ( 2 )
 |  |  | Female | Khulna |  |  |  | 59.7 ( 2 )
 |  |  | Female | Barisal |  |  |  | 49 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 38.8 ( 2 )
 | Adults (15-49) who know HIV can be prevented by abstinence | Percent | Female |  |  |  |  |  |  | 11.1 ( 5 )
 |  |  | Female 15-19 yr |  |  |  |  |  |  | 8.6 ( 5 )
 |  |  | Female 20-24 yr |  |  |  |  |  |  | 9.7 ( 5 )
 |  |  | Female 25-29 yr |  |  |  |  |  |  | 13.1 ( 5 )
 |  |  | Female 30-39 yr |  |  |  |  |  |  | 11.3 ( 5 )
 |  |  | Female 40-49 yr |  |  |  |  |  |  | 10.8 ( 5 )
 |  |  | Male 15-19 yr |  |  |  |  |  |  | 15.4 ( 5 )
 |  |  | Male 20-24 yr |  |  |  |  |  |  | 13.6 ( 5 )
 |  |  | Male 25-29 yr |  |  |  |  |  |  | 12.6 ( 5 )
 |  |  | Male 30-39 yr |  |  |  |  |  |  | 10.7 ( 5 )
 |  |  | Male 40-49 yr |  |  |  |  |  |  | 8.9 ( 5 )
 | Adults (15-49) who know HIV can be prevented by having sex with only 1 uninfected partner | Percent | City corporations Female |  |  |  |  | 76.4 ( 2 )
 |  |  | Female |  |  |  |  | 49.8 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 61.6 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 58.2 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 51.6 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 44.9 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 41.9 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 37.3 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 30.9 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 23.5 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 19.5 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 49.5 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 38.9 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 88.6 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 70.5 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 63.2 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 46.4 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 21.8 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 78.5 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 32.1 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 78.1 ( 2 )
 |  |  | Rural Female |  |  |  |  | 41.8 ( 2 )
 |  |  | [NAME] |  |  |  |  | 55.1 ( 2 )
 |  |  | [NAME] |  |  |  |  | 26.6 ( 2 )
 |  |  | Urban Female |  |  |  |  | 67.8 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 64 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 51 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 39.4 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 56.5 ( 2 )
 |  |  | Female | Khulna |  |  |  | 61.3 ( 2 )
 |  |  | Female | Barisal |  |  |  | 47 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 37.9 ( 2 )
 | Adults (15-49) who know HIV can be transmitted from mother-to-child | Percent | City corporations Female |  |  |  |  | 85.4 ( 2 )
 |  |  | Female |  |  |  |  | 60.9 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 73.3 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 69.2 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 62.9 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 56.2 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 53.2 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 47.5 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 41.7 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 33 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 34.2 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 65.6 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 51.8 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 95 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 82.9 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 76.1 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 59 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 31.7 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 87.7 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 43.5 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 86.5 ( 2 )
 |  |  | Rural Female |  |  |  |  | 53.2 ( 2 )
 |  |  | [NAME] |  |  |  |  | 71.8 ( 2 )
 |  |  | [NAME] |  |  |  |  | 32.6 ( 2 )
 |  |  | Urban Female |  |  |  |  | 78.5 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 75.6 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 60.9 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 50.5 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 67.6 ( 2 )
 |  |  | Female | Khulna |  |  |  | 71.3 ( 2 )
 |  |  | Female | Barisal |  |  |  | 60.1 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 50.3 ( 2 )
 | Adults (15-49) who know HIV can be transmitted from mother-to-child during delivery | Percent | City corporations Female |  |  |  |  | 71.4 ( 2 )
 |  |  | Female |  |  |  |  | 49.5 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 57.5 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 56 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 51.9 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 46.7 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 44.1 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 39.1 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 34.4 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 26.2 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 27.7 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 53.2 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 41.7 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 78.4 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 67.6 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 62.6 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 47.2 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 25.1 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 72.5 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 34.3 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 72.3 ( 2 )
 |  |  | Rural Female |  |  |  |  | 42.6 ( 2 )
 |  |  | [NAME] |  |  |  |  | 60.5 ( 2 )
 |  |  | [NAME] |  |  |  |  | 26.4 ( 2 )
 |  |  | Urban Female |  |  |  |  | 65.1 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 62.3 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 49.3 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 43.5 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 53.3 ( 2 )
 |  |  | Female | Khulna |  |  |  | 61.3 ( 2 )
 |  |  | Female | Barisal |  |  |  | 50.7 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 40.4 ( 2 )
 | Adults (15-49) who know HIV can be transmitted from mother-to-child during pregnancy | Percent | City corporations Female |  |  |  |  | 82.9 ( 2 )
 |  |  | Female |  |  |  |  | 58.4 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 70.2 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 66.4 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 60.3 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 54.1 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 51.1 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 45.8 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 39.9 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 31.4 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 31.9 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 62.6 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 49.7 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 91.9 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 79.7 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 72.8 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 56.4 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 30.2 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 84.9 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 41.5 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 83.9 ( 2 )
 |  |  | Rural Female |  |  |  |  | 50.8 ( 2 )
 |  |  | [NAME] |  |  |  |  | 69.5 ( 2 )
 |  |  | [NAME] |  |  |  |  | 31.4 ( 2 )
 |  |  | Urban Female |  |  |  |  | 75.8 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 72.7 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 58.5 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 49.4 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 64.9 ( 2 )
 |  |  | Female | Khulna |  |  |  | 69 ( 2 )
 |  |  | Female | Barisal |  |  |  | 58 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 47.6 ( 2 )
 | Adults (15-49) who know HIV can be transmitted from mother-to-child through breastfeeding | Percent | City corporations Female |  |  |  |  | 79.7 ( 2 )
 |  |  | Female |  |  |  |  | 57.9 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 69.3 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 65.8 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 59.7 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 53.7 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 50.7 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 45.2 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 40.2 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 31.7 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 32 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 62.7 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 49.5 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 88.5 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 79 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 72.9 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 56.4 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 30.4 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 82.4 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 41.3 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 80.6 ( 2 )
 |  |  | Rural Female |  |  |  |  | 50.8 ( 2 )
 |  |  | [NAME] |  |  |  |  | 68.4 ( 2 )
 |  |  | [NAME] |  |  |  |  | 30.9 ( 2 )
 |  |  | Urban Female |  |  |  |  | 74.2 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 71.8 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 58.1 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 48.2 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 64 ( 2 )
 |  |  | Female | Khulna |  |  |  | 69.1 ( 2 )
 |  |  | Female | Barisal |  |  |  | 57.3 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 47.4 ( 2 )
 | Adults (15-49) who know HIV cannot be transmitted by mosquito bites | Percent | City corporations Female |  |  |  |  | 76.4 ( 2 )
 |  |  | Female |  |  |  |  | 49.8 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 61.6 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 58.2 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 51.6 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 44.9 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 41.9 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 37.3 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 30.9 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 23.5 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 19.5 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 49.5 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 38.9 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 88.6 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 70.5 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 63.2 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 46.4 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 21.8 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 78.5 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 32.1 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 78.1 ( 2 )
 |  |  | Rural Female |  |  |  |  | 41.8 ( 2 )
 |  |  | [NAME] |  |  |  |  | 55.1 ( 2 )
 |  |  | [NAME] |  |  |  |  | 26.6 ( 2 )
 |  |  | Urban Female |  |  |  |  | 67.8 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 64 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 51 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 39.4 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 56.5 ( 2 )
 |  |  | Female | Khulna |  |  |  | 61.3 ( 2 )
 |  |  | Female | Barisal |  |  |  | 47 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 37.9 ( 2 )
 | Adults (15-49) who know HIV cannot be transmitted by sharing food with PLHIV | Percent | City corporations Female |  |  |  |  | 91 ( 2 )
 |  |  | Female |  |  |  |  | 65.1 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 78.1 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 73.6 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 66.8 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 60.1 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 57 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 51.2 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 45.9 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 36.6 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 38 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 70.2 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 56.2 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 98.9 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 87.7 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 80.8 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 63.5 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 34.8 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 92.3 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 47.3 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 92.2 ( 2 )
 |  |  | Rural Female |  |  |  |  | 57.2 ( 2 )
 |  |  | [NAME] |  |  |  |  | 75.9 ( 2 )
 |  |  | [NAME] |  |  |  |  | 35.3 ( 2 )
 |  |  | Urban Female |  |  |  |  | 83.2 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 79.8 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 64.8 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 53.7 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 72.7 ( 2 )
 |  |  | Female | Khulna |  |  |  | 75 ( 2 )
 |  |  | Female | Barisal |  |  |  | 63.3 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 54.3 ( 2 )
 | Adults (15-49) who know that a healthy-looking person can have HIV | Percent | City corporations Female |  |  |  |  | 68.9 ( 2 )
 |  |  | Female |  |  |  |  | 42.8 ( 2 ) |  |  |  | 68.3 ( 4 ) | 67.8 ( 3 )
 |  |  | Female 15-19 yr |  |  |  |  | 51.3 ( 2 ) |  | 69.2 ( 5 )
 |  |  | Female 20-24 yr |  |  |  |  | 52.2 ( 2 ) |  | 70.5 ( 5 )
 |  |  | Female 25-29 yr |  |  |  |  | 46.1 ( 2 ) |  | 70.9 ( 5 )
 |  |  | Female 30-34 yr |  |  |  |  | 39.2 ( 2 )
 |  |  | Female 30-39 yr |  |  |  |  |  |  | 71.3 ( 5 )
 |  |  | Female 35-39 yr |  |  |  |  | 35.9 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 30.8 ( 2 )
 |  |  | Female 40-49 yr |  |  |  |  |  |  | 69.5 ( 5 )
 |  |  | Female 45-49 yr |  |  |  |  | 24.4 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 17.9 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 19.7 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 41.7 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 30.6 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 85.3 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 61.1 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 54 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 38.1 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 17.8 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 71.6 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 26.1 ( 2 )
 |  |  | Male 15-19 yr |  |  |  |  |  |  | 78.7 ( 5 )
 |  |  | Male 20-24 yr |  |  |  |  |  |  | 84 ( 5 )
 |  |  | Male 25-29 yr |  |  |  |  |  |  | 84.7 ( 5 )
 |  |  | Male 30-39 yr |  |  |  |  |  |  | 85.3 ( 5 )
 |  |  | Male 40-49 yr |  |  |  |  |  |  | [NAME] ( 5 )
 |  |  | Non-slum Female |  |  |  |  | 70.6 ( 2 )
 |  |  | Rural Female |  |  |  |  | 34.9 ( 2 )
 |  |  | [NAME] |  |  |  |  | 46.4 ( 2 )
 |  |  | [NAME] |  |  |  |  | 22.3 ( 2 )
 |  |  | Urban Female |  |  |  |  | 60.5 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 56.9 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 43 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 29.7 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 47.8 ( 2 )
 |  |  | Female | Khulna |  |  |  | 50.8 ( 2 )
 |  |  | Female | Barisal |  |  |  | 38.8 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 36.8 ( 2 )
 | Adults (15-49) who know that consistent condom use can prevent HIV | Percent | City corporations Female |  |  |  |  | 68.9 ( 2 )
 |  |  | Female |  |  |  |  | 42.8 ( 2 )
 |  |  | Female 15-19 yr |  |  |  |  | 51.3 ( 2 )
 |  |  | Female 20-24 yr |  |  |  |  | 52.2 ( 2 )
 |  |  | Female 25-29 yr |  |  |  |  | 46.1 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 39.2 ( 2 )
 |  |  | Female 35-39 yr |  |  |  |  | 35.9 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 30.8 ( 2 )
 |  |  | Female 45-49 yr |  |  |  |  | 24.4 ( 2 )
 |  |  | Female Education: None |  |  |  |  | 17.9 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 19.7 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  |  | 41.7 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  |  | 30.6 ( 2 )
 |  |  | Female Education: Secondary complete or higher |  |  |  |  | 85.3 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  | 61.1 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  | 54 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  | 38.1 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  | 17.8 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  | 71.6 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  |  | 26.1 ( 2 )
 |  |  | Non-slum Female |  |  |  |  | 70.6 ( 2 )
 |  |  | Rural Female |  |  |  |  | 34.9 ( 2 )
 |  |  | [NAME] |  |  |  |  | 46.4 ( 2 )
 |  |  | [NAME] |  |  |  |  | 22.3 ( 2 )
 |  |  | Urban Female |  |  |  |  | 60.5 ( 2 )
 |  |  | Urban municipality Female |  |  |  |  | 56.9 ( 2 )
 |  |  | Female | Chittagong |  |  |  | 43 ( 2 )
 |  |  | Female | Sylhet |  |  |  | 29.7 ( 2 )
 |  |  | Female | Dhaka |  |  |  | 47.8 ( 2 )
 |  |  | Female | Khulna |  |  |  | 50.8 ( 2 )
 |  |  | Female | Barisal |  |  |  | 38.8 ( 2 )
 |  |  | Female | [NAME] |  |  |  | 36.8 ( 2 )
 | Adults (15-54) who know HIV can be prevented by abstinence | Percent | Female 50-54 yr |  |  |  |  |  |  | 10.1 ( 5 )
 |  |  | Male |  |  |  |  |  |  | 11.9 ( 5 )
 |  |  | Male 50-54 yr |  |  |  |  |  |  | 7.1 ( 5 )
 | Adults (15-54) who know that a healthy-looking person can have HIV | Percent | Male |  |  |  |  |  |  | 83.3 ( 5 )
 |  |  | Male 50-54 yr |  |  |  |  |  |  | 87.4 ( 5 )
 | Adults (15-54) who know that consistent condom use can prevent HIV | Percent | Female 50-54 yr |  |  |  |  |  |  | 24.6 ( 5 )
 |  |  | Male |  |  |  |  |  |  | 49.7 ( 5 )
 |  |  | Male 50-54 yr |  |  |  |  |  |  | 34.3 ( 5 )
 | Adults (15-59) who know that a healthy-looking person can have HIV | Percent | Male |  |  |  |  |  |  |  |  | 66.2 ( 4 )
 | Comprehensive knowledge of HIV among adults (15-49) | Percent | City corporations Female |  |  |  |  | 27 ( 2 )
 |  |  | Female |  |  |  | 6 ( 24 ) | 12.2 ( 2 )
 |  |  | Female 15-19 yr |  |  |  | 6.8 ( 24 ) | 16.2 ( 2 )
 |  |  | Female 15-24 yr |  |  |  |  | 15.8 ( 2 )
 |  |  | Female 20-24 yr |  |  |  | 8.7 ( 24 ) | 15.3 ( 2 )
 |  |  | Female 25-29 yr |  |  |  | 6.7 ( 24 ) | 13.4 ( 2 )
 |  |  | Female 30-34 yr |  |  |  |  | 10.1 ( 2 )
 |  |  | Female 30-39 yr |  |  |  | 5.3 ( 24 )
 |  |  | Female 35-39 yr |  |  |  |  | 9 ( 2 )
 |  |  | Female 40-44 yr |  |  |  |  | 8.1 ( 2 )
 |  |  | Female 40-49 yr |  |  |  | 3.1 ( 24 )
 |  |  | Female 45-49 yr |  |  |  |  | 5.5 ( 2 )
 |  |  | Female Education: None |  |  |  | 1.4 ( 24 ) | 2.5 ( 2 )
 |  |  | Female Education: Non-standard |  |  |  |  | 2.5 ( 2 )
 |  |  | Female Education: Primary complete |  |  |  | 3.4 ( 24 ) | 8.8 ( 2 )
 |  |  | Female Education: Primary incomplete |  |  |  | 1.9 ( 24 ) | 5.3 ( 2 )
 |  |  | Female Education: Secondary incomplete |  |  |  | 9.8 ( 24 ) | 17.8 ( 2 )
 |  |  | Female Education: Secondary+ |  |  |  | 20.6 ( 24 ) | 37 ( 2 )
 |  |  | [NAME] index quintile: Fourth |  |  |  | 7.9 ( 24 ) | 14.4 ( 2 )
 |  |  | [NAME] index quintile: Middle |  |  |  | 3.1 ( 24 ) | 8.9 ( 2 )
 |  |  | [NAME] index quintile: Poorest |  |  |  | 1.2 ( 24 ) | 2.5 ( 2 )
 |  |  | [NAME] index quintile: Richest |  |  |  | 14.7 ( 24 ) | 27.7 ( 2 )
 |  |  | [NAME] index quintile: Second |  |  |  | 2.4 ( 24 ) | 4.3 ( 2 )
 |  |  | Male |  |  |  | 14.3 ( 24 )
 |  |  | Male 20-24 yr |  |  |  | 17.9 ( 24 )
 |  |  | Male 25-29 yr |  |  |  | 16.6 ( 24 )
 |  |  | Male 30-39 yr |  |  |  | 15.2 ( 24 )
 |  |  | Male 40-49 yr |  |  |  | 11.1 ( 24 )
 |  |  | Male Education: None |  |  |  | 4.8 ( 24 )
 |  |  | Male Education: Primary complete |  |  |  | 11.8 ( 24 )
 |  |  | Male Education: Primary incomplete |  |  |  | 9.2 ( 24 )
 |  |  | Male Education: Secondary incomplete |  |  |  | 18.3 ( 24 )
 |  |  | Male Education: Secondary+ |  |  |  | 34.2 ( 24 )
 |  |  | Male Wealth index quintile: Fourth |  |  |  | 17.9 ( 24 )
 |  |  | Male Wealth index quintile: Middle |  |  |  | 14.2 ( 24 )
 |  |  | Male Wealth index quintile: Poorest |  |  |  | 5.1 ( 24 )
 |  |  | Male Wealth index quintile: Richest |  |  |  | 27.6 ( 24 )
 |  |  | Male Wealth index quintile: Second |  |  |  | 6 ( 24 )
 |  |  | Non-slum Female |  |  |  |  | 28.2 ( 2 )
 |  |  | Rural Female |  |  |  | 2.8 ( 24 ) | 8.2 ( 2 )
 |  |  | Rural Male |  |  |  | 11.8 ( 24 )
 |  |  | [NAME] |  |  |  |  | 11.6 ( 2 )
 |  |  | [NAME] |  |  |  |  | 8.3 ( 2 )
 |  |  | Urban Female |  |  |  | 6.2 ( 24 ) | 20.8 ( 2 )
 |  |  | Urban Male |  |  |  | 22.7 ( 24 )
 |  |  | Urban municipality Female |  |  |  |  | 18.2 ( 2 )
 |  |  | Female | Chittagong |  |  | 4.1 ( 24 ) | 11.6 ( 2 )
 |  |  | Male | Chittagong |  |  | 11.3 ( 24 )
 |  |  | Female | Sylhet |  |  | 2.7 ( 24 ) | 6.1 ( 2 )
 |  |  | Male | Sylhet |  |  | 9.8 ( 24 )
 |  |  | Female | Dhaka |  |  | 8.3 ( 24 ) | 15.9 ( 2 )
 |  |  | Male | Dhaka |  |  | 14.5 ( 24 )
 |  |  | Female | Khulna |  |  | 6.7 ( 24 ) | 14.9 ( 2 )
 |  |  | Male | Khulna |  |  | 12.2 ( 24 )
 |  |  | Female | Barisal |  |  | 5.9 ( 24 ) | 8.5 ( 2 )
 |  |  | Male | Barisal |  |  | 10.7 ( 24 )
 |  |  | Female | [NAME] |  |  | 5 ( 24 ) | 9 ( 2 )
 |  |  | Male | [NAME] |  |  | 18.4 ( 24 )
 | Comprehensive knowledge of HIV among young people (15-24) | Percent | Female |  | 13.4 ( 7 ) |  | 8 ( 24 ) | 15.8 ( 23 ) | 10 ( 7 )
 |  |  | Female 15-19 yr |  | 13.9 ( 49 )
 |  |  | Female 20-24 yr |  | 13 ( 49 )
 |  |  | Male |  | 22.4 ( 7 ) |  | 17.9 ( 24 ) |  | 10.4 ( 7 )
 |  |  | Male 15-19 yr |  | 22.9 ( 49 )
 |  |  | Male 20-24 yr |  | 22 ( 49 )
 |  |  | Total |  | 17.7 ( 7 ) |  | 22.3 ( 21 ) |  | 10.2 ( 7 )
 | Population (10-64) who have ever heard of HIV/AIDS | Percent | Female |  |  |  | 67.4 ( 24 ) |  |  | 60.0 ( 5 ) |  | 30.8 ( 4 ) | 18.7 ( 3 )
 |  |  | Female <20 yr |  |  |  |  |  |  |  |  | 30.2 ( 4 )
 |  |  | Female 15-19 yr |  |  |  | 76.8 ( 24 ) |  |  | 70.9 ( 5 ) |  |  | 17.2 ( 3 )
 |  |  | Female 15-24 yr |  |  |  | 78.1 ( 24 ) |  |  | 70.1 ( 5 )
 |  |  | Female 20-24 yr |  |  |  | 78.9 ( 24 ) |  |  | 69.5 ( 5 ) |  | 35.9 ( 4 ) | 19.7 ( 3 )
 |  |  | Female 25-29 yr |  |  |  | 70.7 ( 24 ) |  |  | 62.1 ( 5 ) |  | 33.7 ( 4 ) | 20.2 ( 3 )
 |  |  | Female 30-34 yr |  |  |  |  |  |  |  |  | 32.7 ( 4 )
 |  |  | Female 30-39 yr |  |  |  | 64.0 ( 24 ) |  |  | 55.6 ( 5 ) |  |  | 19.1 ( 3 )
 |  |  | Female 35-39 yr |  |  |  |  |  |  |  |  | 27.3 ( 4 )
 |  |  | Female 40-44 yr |  |  |  |  |  |  |  |  | 25.3 ( 4 )
 |  |  | Female 40-49 yr |  |  |  | 52.1 ( 24 ) |  |  | 47.1 ( 5 ) |  |  | 16.5 ( 3 )
 |  |  | Female 45-49 yr |  |  |  |  |  |  |  |  | 24.4 ( 4 )
 |  |  | Female Currently in union |  |  |  |  |  |  |  |  |  | 19.1 ( 3 )
 |  |  | Female Currently married |  |  |  |  |  |  | 61.0 ( 5 )
 |  |  | Female Divorced/separated/widowed |  |  |  |  |  |  | 47.8 ( 5 )
 |  |  | Female Education: None |  |  |  |  |  |  | 37.1 ( 5 ) |  | 12.4 ( 4 ) | 6.4 ( 3 )
 |  |  | Female Education: Primary |  |  |  |  |  |  | 71.4 ( 5 ) |  | 33.7 ( 4 ) | 23.8 ( 3 )
 |  |  | Female Education: Primary incomplete |  |  |  |  |  |  | 59.0 ( 5 ) |  | 23.2 ( 4 ) | 12.8 ( 3 )
 |  |  | Female Education: Secondary incomplete |  |  |  |  |  |  | 86.3 ( 5 )
 |  |  | Female Education: Secondary+ |  |  |  |  |  |  | 98.4 ( 5 ) |  | 68 ( 4 ) | 58.6 ( 3 )
 |  |  | Female Formerly in union |  |  |  |  |  |  |  |  |  | 13.7 ( 3 )
 |  |  | [NAME] index quintile: Fourth |  |  |  |  |  |  | 75.0 ( 5 )
 |  |  | [NAME] index quintile: Middle |  |  |  |  |  |  | 58.7 ( 5 )
 |  |  | [NAME] index quintile: Poorest |  |  |  |  |  |  | 28.9 ( 5 )
 |  |  | [NAME] index quintile: Richest |  |  |  |  |  |  | 92.4 ( 5 )
 |  |  | [NAME] index quintile: Second |  |  |  |  |  |  | 44.6 ( 5 )
 |  |  | Male |  |  |  | 86.6 ( 24 ) |  |  | 81.9 ( 5 ) |  | 50.2 ( 4 ) | 33.1 ( 3 )
 |  |  | Male 15-19 yr |  |  |  |  |  |  | 86.4 ( 5 )
 |  |  | Male 15-24 yr |  |  |  |  |  |  | 88.4 ( 5 )
 |  |  | Male 20-24 yr |  |  |  | 91.4 ( 24 ) |  |  | 90.9 ( 5 ) |  | 48.3 ( 4 ) | 25.0 ( 3 )
 |  |  | Male 25-29 yr |  |  |  | 90.4 ( 24 ) |  |  | 87.6 ( 5 ) |  | 56.2 ( 4 ) | 36.9 ( 3 )
 |  |  | Male 30-34 yr |  |  |  |  |  |  |  |  | 54.6 ( 4 )
 |  |  | Male 30-39 yr |  |  |  | 88.1 ( 24 ) |  |  | 81.0 ( 5 ) |  |  | 35.9 ( 3 )
 |  |  | Male 35-39 yr |  |  |  |  |  |  |  |  | 48.1 ( 4 )
 |  |  | Male 40-44 yr |  |  |  |  |  |  |  |  | 48.3 ( 4 )
 |  |  | Male 40-49 yr |  |  |  | 81.7 ( 24 ) |  |  | 72.6 ( 5 ) |  |  | 33.0 ( 3 )
 |  |  | Male 45-49 yr |  |  |  |  |  |  |  |  | 56.9 ( 4 )
 |  |  | Male 50-54 yr |  |  |  |  |  |  | 68.0 ( 5 ) |  | 41.9 ( 4 )
 |  |  | Male 50-64 yr |  |  |  |  |  |  |  |  |  | 26.3 ( 3 )
 |  |  | Male 55-59 yr |  |  |  |  |  |  |  |  | 37.9 ( 4 )
 |  |  | Male Currently married |  |  |  |  |  |  | 78.0 ( 5 )
 |  |  | Male Divorced/separated/widowed |  |  |  |  |  |  | 71.6 ( 5 )
 |  |  | Male Education: None |  |  |  |  |  |  | 61.2 ( 5 ) |  | 23.3 ( 4 ) | 11 ( 3 )
 |  |  | Male Education: Primary |  |  |  |  |  |  | 89.4 ( 5 ) |  | 55.8 ( 4 ) | 33.0 ( 3 )
 |  |  | Male Education: Primary incomplete |  |  |  |  |  |  | 76.2 ( 5 ) |  | 37.1 ( 4 ) | 25.6 ( 3 )
 |  |  | Male Education: Secondary incomplete |  |  |  |  |  |  | 95.1 ( 5 )
 |  |  | Male Education: Secondary+ |  |  |  |  |  |  | 98.9 ( 5 ) |  | 85.1 ( 4 ) | 70.6 ( 3 )
 |  |  | [NAME] married |  |  |  |  |  |  | 89.3 ( 5 )
 |  |  | Male Wealth index quintile: Fourth |  |  |  |  |  |  | 90.5 ( 5 )
 |  |  | Male Wealth index quintile: Middle |  |  |  |  |  |  | 82.6 ( 5 )
 |  |  | Male Wealth index quintile: Poorest |  |  |  |  |  |  | 61.1 ( 5 )
 |  |  | Male Wealth index quintile: Richest |  |  |  |  |  |  | 98.2 ( 5 )
 |  |  | Male Wealth index quintile: Second |  |  |  |  |  |  | 71.1 ( 5 )
 |  |  | Rural Female |  |  |  |  |  |  | 53.7 ( 5 ) |  | 22.6 ( 4 ) | 13.5 ( 3 )
 |  |  | Rural Male |  |  |  |  |  |  | 78.3 ( 5 ) |  | 43.8 ( 4 ) | 27.8 ( 3 )
 |  |  | Urban Female |  |  |  |  |  |  | 81.7 ( 5 ) |  | 64.3 ( 4 ) | 58.4 ( 3 )
 |  |  | Urban Male |  |  |  |  |  |  | 93.0 ( 5 ) |  | 76.4 ( 4 ) | 71.6 ( 3 )
 |  |  | Female | Chittagong |  |  |  |  |  | 59.1 ( 5 ) |  | 32.1 ( 4 ) | 20.3 ( 3 )
 |  |  | Male | Chittagong |  |  |  |  |  | 81.4 ( 5 ) |  | 58.0 ( 4 ) | 41.3 ( 3 )
 |  |  | Female | Sylhet |  |  |  |  |  | 45.4 ( 5 ) |  | 20.0 ( 4 ) | 14.9 ( 3 )
 |  |  | Male | Sylhet |  |  |  |  |  | 76.3 ( 5 ) |  | 41.6 ( 4 ) | 22.6 ( 3 )
 |  |  | Female | Dhaka |  |  |  |  |  | 66.9 ( 5 ) |  | 37.9 ( 4 ) | 25.4 ( 3 )
 |  |  | Male | Dhaka |  |  |  |  |  | 84.6 ( 5 ) |  | 52.7 ( 4 ) | 37.0 ( 3 )
 |  |  | Female | Khulna |  |  |  |  |  | 72.6 ( 5 ) |  | 34.8 ( 4 ) | 17.7 ( 3 )
 |  |  | Male | Khulna |  |  |  |  |  | 91.7 ( 5 ) |  | 63.6 ( 4 ) | 40.1 ( 3 )
 |  |  | Female | Barisal |  |  |  |  |  | 60.2 ( 5 ) |  | 31.0 ( 4 ) | 19.4 ( 3 )
 |  |  | Male | Barisal |  |  |  |  |  | 82.3 ( 5 ) |  | 44.6 ( 4 ) | 35.7 ( 3 )
 |  |  | Female | [NAME] |  |  |  |  |  | 49.9 ( 5 ) |  | 21.9 ( 4 ) | 9.9 ( 3 )
 |  |  | Male | [NAME] |  |  |  |  |  | 75.2 ( 5 ) |  | 39.1 ( 4 ) | 20.9 ( 3 )
 | Population (10-64) who know that a healthy-looking person can have HIV | Percent | Female 10-14 yr |  |  |  |  |  |  | 65.7 ( 5 )
 |  |  | Female 10-49 yr |  |  |  |  |  |  | 70.4 ( 5 )
 |  |  | Male 15-64 yr |  |  |  |  |  |  |  |  |  | 81.5 ( 3 )
 | Population (14-49) who know that consistent condom use can prevent HIV | Percent | Female |  |  |  |  |  |  | 36.5 ( 5 )
 |  |  | Female 15-19 yr |  |  |  |  |  |  | 39.8 ( 5 )
 |  |  | Female 20-24 yr |  |  |  |  |  |  | 40.4 ( 5 )
 |  |  | Female 25-29 yr |  |  |  |  |  |  | 44.9 ( 5 )
 |  |  | Female 30-39 yr |  |  |  |  |  |  | 39.6 ( 5 )
 |  |  | Female 40-49 yr |  |  |  |  |  |  | 31.3 ( 5 )
 |  |  | Male 15-19 yr |  |  |  |  |  |  | 52.8 ( 5 )
 |  |  | Male 20-24 yr |  |  |  |  |  |  | 55.9 ( 5 )
 |  |  | Male 25-29 yr |  |  |  |  |  |  | 60.7 ( 5 )
 |  |  | Male 30-39 yr |  |  |  |  |  |  | 47.2 ( 5 )
 |  |  | Male 40-49 yr |  |  |  |  |  |  | 39.5 ( 5 )
 | Young people (15-24) who know HIV can be prevented by abstinence | Percent | Female |  |  |  |  |  |  | 11.6 ( 5 )
 |  |  | Male |  |  |  |  |  |  | 14.6 ( 5 )
 | Young people (15-24) who know HIV can be prevented by having sex with only 1 uninfected partner | Percent | Female |  | 63 ( 72 ) |  |  |  |  | 34.2 ( 5 )
 |  |  | Female 15-19 yr |  | 59.6 ( 72 )
 |  |  | Female 20-24 yr |  | 67 ( 72 )
 |  |  | Male |  | 77.3 ( 72 ) |  |  |  |  | 11.5 ( 5 )
 |  |  | Male 15-19 yr |  | 73.6 ( 72 )
 |  |  | Male 20-24 yr |  | 81 ( 72 )
 |  |  | Total |  | 69.8 ( 72 )
 | Young people (15-24) who know HIV cannot be transmitted by mosquito bites | Percent | Female |  | 38.6 ( 72 )
 |  |  | Female 15-19 yr |  | 40.4 ( 72 )
 |  |  | Female 20-24 yr |  | 36.4 ( 72 )
 |  |  | Male |  | 47.6 ( 72 )
 |  |  | Male 15-19 yr |  | 51.2 ( 72 )
 |  |  | Male 20-24 yr |  | 44.2 ( 72 )
 |  |  | Total |  | 42.9 ( 72 )
 | Young people (15-24) who know HIV cannot be transmitted by sharing food with PLHIV | Percent | Female |  | 48 ( 72 )
 |  |  | Female 15-19 yr |  | 49.8 ( 72 )
 |  |  | Female 20-24 yr |  | 45.8 ( 72 )
 |  |  | Male |  | 55.6 ( 72 )
 |  |  | Male 15-19 yr |  | 59.3 ( 72 )
 |  |  | Male 20-24 yr |  | 52 ( 72 )
 |  |  | Total |  | 51.6 ( 72 )
 | Young people (15-24) who know that a healthy-looking person can have HIV | Percent | Female |  | 57 ( 72 ) |  |  |  |  | 69.9 ( 5 )
 |  |  | Female 15-19 yr |  | 56.6 ( 72 ) |  |  |  |  |  |  | 66.4 ( 4 )
 |  |  | Female 20-24 yr |  | 57.6 ( 72 ) |  |  |  |  |  |  | 67.5 ( 4 )
 |  |  | Male |  | 68 ( 72 ) |  |  |  |  | 81.1 ( 5 )
 |  |  | Male 15-19 yr |  | 65 ( 72 )
 |  |  | Male 20-24 yr |  | 70.9 ( 72 ) |  |  |  |  |  |  | 54.4 ( 4 )
 |  |  | Total |  | 62.3 ( 72 )
 | Young people (15-24) who know that condom use can prevent HIV | Percent | Female |  |  |  |  |  |  | 43.0 ( 5 )
 |  |  | Male |  |  |  |  |  |  | 54.3 ( 5 )
 | Young people (15-24) who know that consistent condom use can prevent HIV | Percent | Female |  | 60.6 ( 72 )
 |  |  | Female 15-19 yr |  | 56.3 ( 72 )
 |  |  | Female 20-24 yr |  | 65.7 ( 72 )
 |  |  | Male |  | 83 ( 72 )
 |  |  | Male 15-19 yr |  | 78.9 ( 72 )
 |  |  | Male 20-24 yr |  | 86.9 ( 72 )
 |  |  | Total |  | 71.2 ( 72 )
 | Young population (10-14) who have ever heard of HIV/AIDS | Percent | Female |  |  |  |  |  |  | 61.9 ( 5 )
Gender
 | Women (15-49) who experienced physical or sexual violence from a male intimate partner in the past 12 months | Percent | Female |  |  | 53.3 ( 72 )
 |  |  | Female 15-19 yr |  |  | 47.3 ( 72 )
 |  |  | Female 20-24 yr |  |  | 49 ( 72 )
 |  |  | Female 25-49 yr |  |  | 55.6 ( 72 )
 | Sources
 | (1)  Bangladesh_National AIDS/STD Programme (NASP), Directorate General of Health Services, Ministry of Health and Family Welfare, Bangladesh . (2011). National HIV Serological Surveillance, 2011, Bangladesh - 9th Round Technical Report.
 | (2)  Bangladesh_Bureau of Statistics and UNICEF.  Multiple Indicator Cluster Survey 2006.  Volume I: Technical Report
 | (3)  Bangladesh_NIPORT, DHS Bangladesh, National Institute of Population and Training, Ministry of Health and Family Welfare, 1996-1997
 | (4)  Bangladesh_NIPORT, DHS Bangladesh, National Institute of Population and Training, Ministry of Health and Family Welfare, 1999-2000
 | (5)  Bangladesh_NIPORT, DHS Bangladesh, National Institute of Population and Training, Ministry of Health and Family Welfare, 2004
 | (6)  Bangladesh_Assessment of Sexual Behaviour of Men in Bangladesh, FHI/ICDDRB 2006 cited in National AIDS/STD Programme Bangladesh. (2010). UNGASS Country Progress Report: Bangladesh.
 | (7)  Bangladesh_National AIDS/STD Programme Bangladesh. (2010). UNGASS Country Progress Report: Bangladesh.
 | (8)  Bangladesh_UN Population Division, 2005-2010
 | (9)  Bangladesh_National Institute of Population Research and Training (NIPORT).  Bangladesh Demographic and Health Survey 1999-2000, May 2001.
 | (10)  Bangladesh_National Institute of Population Research and Training (NIPORT).  Bangladesh Demographic and Health Survey 2004, May 2005.
 | (11)  Bangladesh_National Institute of Population Research and Training (NIPORT).  Bangladesh Demographic and Health Survey 2007, March 2009.
 | (12)  Bangladesh_National AIDS/STD Programme Bangladesh. (2008). Behavioral Surveillance Survey 2006-07: Technical Report.
 | (13)  Bangladesh_National Institute of Population Research and Training (NIPORT), Ministry of Health and Family Welfare.  Bangladesh Demographic and Health Survey 1993-1994, December 1994.
 | (14)  Bangladesh_National Institute of Population Research and Training (NIPORT), Ministry of Health and Family Welfare.  Bangladesh Demographic and Health Survey 1996-1997, December 1997.
 | (15)  Bangladesh_Demographic and Health Survey (DHS), 1999-2000
 | (16)  Bangladesh_ National Institute of Population Research and Training (NIPORT).  Bangladesh Demographic and Health Survey 2007, March 2009.
 | (17)  Bangladesh_National Institute of Population Research and Training (NIPORT).  Bangladesh Demographic and Health Survey 2004, May 2005.
 | (18)  Bangladesh_National AIDS Committee Bangladesh. (2006). UNGASS Country Progress Report: Bangladesh.
 | (21)  Bangladesh_National AIDS/STD Programme Bangladesh. (2008). UNGASS Country Progress Report: Bangladesh.
 | (23)  Bangladesh_Bangladesh Bureau of Statistics, & UNICEF. (2006). Multiple Indicator [NAME] 2006: Volume I: Technical Report.
 | (24)  Bangladesh_National Institute of Population Research and Training (NIPORT).  Bangladesh Demographic and Health Survey 2007, March 2009.
 | (26)  Bangladesh_Ministry of Health and Family Welfare, National AIDS/STD Programme (NASP) Report, 2009 and Bangladesh, National AIDS/STD Programme (NASP), HIV/AIDS: Situation and National Response, power point presentation on World AIDS Day, 1st Dec 2010
 | (27)  Bangladesh_Mathers [NAME] et al. Global epidemiology of injecting drug use and HIV among people who inject drugs: a systematic review. The Lancet (online edition), September 24th, 2008
 | (29)  UNODC_retrieved from http://www.unodc.org/india/ost_interventions_scenario.html.
 | (30)  [NAME]). HIV/AIDS among Men Who Have Sex with Men and Transgender Populations in South-East Asia 2010:The Current Situation and National Responses
 | (33)  Bangladesh_UNAIDS, UNGASS Country Progress Report, 2005 citing 6th round of National HIV Serological Surveillance (NHSS), 2004-2005
 | (34)  Bangladesh_HIV Serological Surveillance Surveys, Round I to Round VIII cited in National AIDS/STD Programme (NASP) Bangladesh National HIV Serological Surveillance, 2007 Bangladesh 8th Round Technical Report
 | (35)  Bangladesh_HSS 2007 reported in Country Health Sector Progress Report, Towards Universal Access, Scaling Up Priority HIV/AIDS Interventions in the Health Sector, 2009
 | (36)  Bangaldesh_The World Bank, & UNAIDS. (2009). 20 Years of HIV in Bangladesh: Experiences and Way Forward.
 | (37)  Bangladesh_National AIDS/STD Programme Bangladesh. (2004). National HIV Serological and Behavioural Surveillance, 2003-2004 - Fifth Round Technical Report.
 | (38)  Bangladesh_National AIDS/STD Programme Bangladesh. (2002). National HIV Serological and Behavioural Surveillance, 2002 Bangladesh - Fourth Round Technical Report.
 | (40)  Bangladesh_ICDDRB, National Household Surveillance Survey, the 5th round, International Center for Diarrhoeal Diseases and [NAME], 2003-2004
 | (41)  UN_Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, World Population Prospects: The 2006 Revision and World Urbanization Prospects: The 2005 Revision, http://esa.un.org/unpp
 | (42)  Bangladesh_BSS 2006-2007 reported in Country Health Sector Progress Report, Towards Universal Access, Scaling Up Priority HIV/AIDS Interventions in the Health Sector, 2009
 | (45)  WHO/UNAIDS/UNICEF_Global HIV/AIDS Response - Epidemic Update and Health Sector Progress Towards Universal Access - Progress Report, 2011.
 | (46)  UNDP_Human Development Report, 2007-2008
 | (47)  UNDP_Human Development Report, 2006
 | (48)  UNDP_Human Development Report, 2010
 | (49)  UNAIDS_Report on The Global AIDS Epidemic, 2010
 | (50)  UNAIDS_Epidemiological fact sheets, 2008
 | (51)  WHO/UNAIDS/UNICEF_Towards Universal Access - Scaling up Priority HIV/AIDS Interventions in the Health Sector Progress Report, 2008
 | (52)  WHO/UNAIDS/UNICEF_Towards Universal Access - Scaling up Priority HIV/AIDS Interventions in the Health Sector Progress Report, 2010
 | (53)  UNAIDS_Epidemiological fact sheets update, 2006
 | (54)  UNAIDS_Epidemiological fact sheets update, 2008
 | (55)  UNAIDS_Epidemiological fact sheets, 2006
 | (56)  UNAIDS_Report on the Global AIDS Epidemic, 2006
 | (57)  UNAIDS_Report on the Global AIDS Epidemic, 2008
 | (58)  UNAIDS_Data retrieved from http://www.aidsinfoonline.org
 | (59)  UN_UN Statistics Division 2010
 | (60)  UN_Population Division of the Department of Economic and Social Affairs of the United Nations Secretariat, World Population Prospects: The 2006 Revision and World Urbanization Prospects: The 2005 Revision, http://esa.un.org/unpp.
 | (61)  UNICEF_State of the World Children Report, 2004
 | (62)  World Bank_World Development Indicators & Global Development Finace Database
 | (63)  WHO/UNAIDS/UNICEF_Towards Universal Access - Scaling up Priority HIV/AIDS Interventions in the Health Sector Progress Report, 2009
 | (64)  WHO_World Health Report, 2006
 | (65)  WHO_World Health Statistics, 2010
 | (66)  UNFPA_State of World Population, 2003
 | (67)  UNFPA_State of World Population, 2010
 | (68)  World Bank_World Development Indicators database, September 2008. Retrieved on 15 October, 2008, from http://ddp-ext.worldbank.org
 | (69)  UNAIDS_UNAIDS.  UNAIDS Data Tables 2011
 | (70)  WHO_WHO (2011). Global Tuberculosis Control 2011.
 | (71)  Bangladesh_National AIDS/STI Programme (NASP), Ministry of Health and Family Welfare (2012).  HIV Data: Bangladesh Situation 2011, data retrieved from http://www.bdnasp.net/index.php?option=com_content&view=article&id=104&Itemid=124 on 28th Mar 2012
 | (72)  UNAIDS_UNAIDS. (2012). Annexes - UNAIDS Report on the Global AIDS Epidemic 2012.
 | (73)  Bangladesh_National AIDS Committee, Bangladesh. (2009). Population [NAME] for Most at Risk Populations for HIV in Bangladesh 2009.
 | (74)  Bangladesh_icddr-b. (2012). Experience Conducting Male Sexual Health Survey and MSM Mapping and Enumerations in Bangladesh. Presented at the South Asia Regional MSM and Transgender Size Estimation Workshop, Colombo, Sri Lanka
 | (75)  Bangladesh_National AIDS/STD Program, DGHS, MOHFW. (2012). World AIDS Day 2012:  Presentation on  HIV and AIDS Situation and National  Responses