Spreadsheet: 7ca1da9f-3965-4552-8ac3-d52c5d236d20
Sheet: HIV prevalence and epidemiology

HIV prevalence and epidemiology |  |  |  |  | 2012 | 2011 | 2010 | 2009 | 2008 | 2007 | 2006 | 2005 | 2004-2005 | 2004 | 2003-2004 | 2003 | 2002 | 2001 | 2000-2001 | 2000 | 1999-2000 | 1999 | 1998-1999 | 1998 | 1997 | 1996 | 1995 | 1994 | 1993 | 1992 | 1991 | 1990 | 1989
Key populations at higher risk
 | People who inject drugs (PWID)
 | Active syphilis prevalence among people who inject drugs | Percent | [NAME] | Chittagong |  | 5.2 ( 1 ) |  |  |  | 11.1 ( 1 ) | 5.8 ( 1 ) |  | 9 ( 1 )
 |  |  | Male | Chandpur |  | 6.1 ( 1 ) |  |  |  | 7.5 ( 1 ) | 2.8 ( 1 ) |  | 2.5 ( 1 ) |  | 7 ( 1 )
 |  |  | [NAME] | Sylhet |  | 2.5 ( 1 ) |  |  |  | 1.5 ( 1 )
 |  |  | [NAME] | Dhaka |  | 3.4 ( 1 ) |  |  |  | 2.9 ( 1 ) | 4.4 ( 1 ) |  | 3.9 ( 1 ) |  | 1.6 ( 1 )
 |  |  | Male | Dhaka |  | 4.3 ( 1 ) |  |  |  | 3.1 ( 1 ) | 2.3 ( 1 ) |  | 2.9 ( 1 ) |  | 1.2 ( 1 ) |  | 3.5 ( 1 ) |  | 2.5 ( 1 ) |  | 9.3 ( 1 )
 |  |  | [NAME] | Dhaka |  | 4.9 ( 1 ) |  |  |  | 3.7 ( 1 ) | 3.7 ( 1 ) |  | 3.8 ( 1 )
 |  |  | [NAME] | Dhaka |  | 2.9 ( 1 ) |  |  |  | 2 ( 1 ) | 0 ( 1 ) |  | 1.5 ( 1 )
 |  |  | Male Detoxification clinic | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 4.3 ( 1 ) |  | 4 ( 1 ) |  | 4.5 ( 1 )
 |  |  | Male | Mymensingh |  | 2.1 ( 1 ) |  |  |  | 0.4 ( 1 ) | 0.7 ( 1 ) |  | 1.8 ( 1 )
 |  |  | Male | Narayanganj |  | 5.4 ( 1 ) |  |  |  | 4.7 ( 1 ) | 2.9 ( 1 ) |  | 1 ( 1 ) |  | 5.6 ( 1 )
 |  |  | Male | Narsingdi |  | 7.9 ( 1 ) |  |  |  | 3.9 ( 1 )
 |  |  | Benapole Male | Khulna |  | 0 ( 1 )
 |  |  | Male | Jessore |  | 2.6 ( 1 ) |  |  |  | 2.5 ( 1 ) | 2.3 ( 1 ) |  | 3 ( 1 )
 |  |  | Male | Satkhira |  | 0 ( 1 ) |  |  |  | 1.1 ( 1 ) | 0.9 ( 1 ) |  | 1 ( 1 )
 |  |  | Male | Barisal |  | 0.7 ( 1 ) |  |  |  | 0.4 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Chapai Nawabganj Male | [NAME] |  | 1.8 ( 1 ) |  |  |  | 1.4 ( 1 ) | 0.5 ( 1 ) |  | 0.5 ( 1 ) |  | 1.7 ( 1 ) |  | 2 ( 1 ) |  | 1.7 ( 1 )
 |  |  | [NAME] | [NAME] |  | 0.8 ( 1 ) |  |  |  | 1 ( 1 ) |  |  |  |  | 1.3 ( 1 )
 |  |  | [NAME] | [NAME] |  | 5.3 ( 1 ) |  |  |  | 1.7 ( 1 ) | 1.8 ( 1 ) |  | 0 ( 1 ) |  | 3.5 ( 1 )
 |  |  | Kanshat Male | [NAME] |  | 1.1 ( 1 ) |  |  |  | 2.8 ( 1 ) | 4.3 ( 1 ) |  | 1.5 ( 1 ) |  | 2.1 ( 1 )
 |  |  | Male | Dinajpur |  | 0.5 ( 1 ) |  |  |  | 1.5 ( 1 ) | 1.1 ( 1 )
 |  |  | Male | Naogaon |  | 0.8 ( 1 ) |  |  |  | 0.4 ( 1 ) | 0.5 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Pabna |  | 0 ( 1 ) |  |  |  | 1.7 ( 1 ) | 1.4 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | [NAME] |  | 2.5 ( 1 ) |  |  |  | 1.8 ( 1 ) | 1.3 ( 1 ) |  | 1 ( 1 ) |  | 1.3 ( 1 ) |  | 1.7 ( 1 ) |  | 1.5 ( 1 ) |  | 4.1 ( 1 )
 |  |  | [NAME] | Rangpur |  | 2.2 ( 1 )
 |  |  | Male | Rangpur |  | 2.9 ( 1 ) |  |  |  | 1.2 ( 1 ) | 2.7 ( 1 )
 |  |  | Male | Sirajganj |  | 1.7 ( 1 ) |  |  |  | 1 ( 1 ) | 0.8 ( 1 ) |  | 1.8 ( 1 )
 | Estimated HIV prevalence among people who inject drugs | Percent (Estimate) | Total |  |  |  |  |  |  |  | 1.35 ( 27 )
 |  | Percent (High estimate) | Total |  |  |  |  |  |  |  | 1.9 ( 27 )
 |  | Percent (Low estimate) | Total |  |  |  |  |  |  |  | 0.8 ( 27 )
 | Estimated number of people who inject drugs | Number (Estimate) | Total |  |  |  |  |  |  |  |  | 30000 ( 27 )
 |  | Number (High estimate) | Total |  |  |  |  | 23800 ( 73 ) |  |  |  | 40000 ( 27 ) |  | 40000 ( 29 )
 |  | Number (Low estimate) | Total |  |  |  |  | 21800 ( 73 ) |  |  |  | 20000 ( 27 ) |  | 20000 ( 29 )
 | Hepatitis C prevalence among people who inject drugs | Percent | [NAME] | Chittagong |  | 22.9 ( 1 ) |  |  |  | 29.6 ( 1 ) | 36.7 ( 1 ) |  | 37.4 ( 1 )
 |  |  | Male | Chandpur |  | 63.5 ( 1 ) |  |  |  | 53.5 ( 1 ) | 49.2 ( 1 ) |  |  |  | 52.3 ( 1 )
 |  |  | [NAME] | Sylhet |  | 2.5 ( 1 ) |  |  |  | 0.5 ( 1 )
 |  |  | [NAME] | Dhaka |  | 24.2 ( 1 ) |  |  |  | 5.9 ( 1 ) | 7.5 ( 1 ) |  |  |  | 5.7 ( 1 )
 |  |  | Male | Dhaka |  | 39.6 ( 1 ) |  |  |  | 54 ( 1 ) | 56.4 ( 1 ) |  |  |  | 59.2 ( 1 ) |  | 62.3 ( 1 ) |  |  |  | 66.5 ( 1 )
 |  |  | [NAME] | Dhaka |  | 42.5 ( 1 ) |  |  |  | 61.5 ( 1 ) | 61.4 ( 1 )
 |  |  | [NAME] | Dhaka |  | 33.6 ( 1 ) |  |  |  | 41.9 ( 1 ) | 48 ( 1 )
 |  |  | Male Detoxification clinic | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 17.4 ( 1 )
 |  |  | Male | Mymensingh |  | 15.7 ( 1 ) |  |  |  | 6.2 ( 1 ) | 5.3 ( 1 ) |  | 4.1 ( 1 )
 |  |  | Male | Narayanganj |  | 21.1 ( 1 ) |  |  |  | 31.5 ( 1 ) | 29.5 ( 1 ) |  |  |  | 29.9 ( 1 )
 |  |  | Male | Narsingdi |  | 5.9 ( 1 ) |  |  |  | 15.6 ( 1 )
 |  |  | Benapole Male | Khulna |  | 1 ( 1 )
 |  |  | Male | Jessore |  | 2.6 ( 1 ) |  |  |  | 4.5 ( 1 ) | 7.6 ( 1 ) |  | 11 ( 1 )
 |  |  | Male | Satkhira |  | 1.1 ( 1 ) |  |  |  | 0.7 ( 1 ) | 0.9 ( 1 ) |  | 2.5 ( 1 )
 |  |  | Male | Barisal |  | 9.7 ( 1 ) |  |  |  | 11.3 ( 1 ) | 15.4 ( 1 ) |  | 5.9 ( 1 )
 |  |  | Chapai Nawabganj Male | [NAME] |  | 89.1 ( 1 ) |  |  |  | 76.7 ( 1 ) | 77 ( 1 ) |  |  |  | 77 ( 1 ) |  | 79.5 ( 1 )
 |  |  | [NAME] | [NAME] |  | 67.7 ( 1 ) |  |  |  | 49.5 ( 1 ) |  |  |  |  | 55.1 ( 1 )
 |  |  | [NAME] | [NAME] |  | 12.3 ( 1 ) |  |  |  | 15 ( 1 ) | 20 ( 1 ) |  |  |  | 29.8 ( 1 )
 |  |  | Kanshat Male | [NAME] |  | 95.7 ( 1 ) |  |  |  | 84.3 ( 1 ) | 73.9 ( 1 ) |  |  |  | 83 ( 1 )
 |  |  | Male | Dinajpur |  | 47.8 ( 1 ) |  |  |  | 65.8 ( 1 ) | 62.7 ( 1 )
 |  |  | Male | Naogaon |  | 66.8 ( 1 ) |  |  |  | 62.6 ( 1 ) | 49.2 ( 1 ) |  | 57.5 ( 1 )
 |  |  | Male | Pabna |  | 6.9 ( 1 ) |  |  |  | 7.8 ( 1 ) | 10.1 ( 1 ) |  |  |  | 8.2 ( 1 )
 |  |  | Male | [NAME] |  | 69.6 ( 1 ) |  |  |  | 56.8 ( 1 ) | 65.9 ( 1 ) |  |  |  | 67 ( 1 ) |  | 59.8 ( 1 ) |  |  |  | 59.6 ( 1 )
 |  |  | [NAME] | Rangpur |  | 32.6 ( 1 )
 |  |  | Male | Rangpur |  | 11.7 ( 1 ) |  |  |  | 12.2 ( 1 ) | 10.7 ( 1 )
 |  |  | Male | Sirajganj |  | 44.5 ( 1 ) |  |  |  | 24.7 ( 1 ) | 51.6 ( 1 ) |  | 50.5 ( 1 )
 | Hepatitis C prevalence among people who inject drugs and heroin smokers | Percent | Dhaka, Narayanganj and [NAME] | Dhaka |  | 9.4 ( 1 ) |  |  |  | 18.4 ( 1 ) | 20.7 ( 1 ) |  | 16.8 ( 1 )
 |  |  | Benapole Female | Khulna |  | 0 ( 1 )
 |  |  | [NAME] | Khulna |  | 0 ( 1 ) |  |  |  | 2.3 ( 1 )
 |  |  | Male | Bagerhat |  | 0.7 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Male | Jhenaidah |  | 0 ( 1 ) |  |  |  | 2 ( 1 )
 |  |  | Male | Khulna |  | 0 ( 1 ) |  |  |  | 1 ( 1 ) | 0.5 ( 1 )
 |  |  | Male | Kushtia |  | 4.4 ( 1 ) |  |  |  | 7.7 ( 1 )
 |  |  | Male | Patuakhali |  | 1 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Male | Joypurhat |  | 19.4 ( 1 ) |  |  |  | 40 ( 1 )
 | HIV prevalence among people who inject drugs | Percent | Central A |  |  |  |  |  |  |  |  | 4.9 ( 33 )
 |  |  | Female |  |  | 1.1 ( 72 ) |  |  |  | 1 ( 1 )
 |  |  | Major urban area |  |  |  |  |  |  |  |  |  |  | 0 ( 55 )
 |  |  | Major urban area Mukti and Tejgoan |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.5 ( 55 )
 |  |  | Male |  |  | 1 ( 72 ) |  |  |  | 1.6 ( 1 ) |  | 4.9 ( 21 )
 |  |  | Outside major urban area |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 55 ) | 0 ( 55 ) |  | 0.2 ( 55 ) |  | 2.5 ( 55 )
 |  |  | Total |  |  | 1.1 ( 72 ) |  |  |  | 1.6 ( 1 ) |  | 0.6 ( 33 ) | 0.6 ( 33 ) | 0.3 ( 21 ) |  |  | 0.3 ( 21 ) |  | 0.2 ( 21 ) |  | 0.2 ( 21 ) |  | 0.4 ( 21 )
 |  |  | Total <25 yr |  |  | 0.7 ( 72 ) |  |  |  | 0.2 ( 7 )
 |  |  | Total 25+ yr |  |  | 1.1 ( 72 ) |  |  |  | 1.7 ( 7 )
 |  |  | [NAME] | Chittagong |  | 0 ( 1 ) |  |  |  | 0.9 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Chandpur |  | 0 ( 1 ) |  |  |  | 0.6 ( 1 ) | 1.1 ( 1 ) |  | 0.6 ( 1 ) |  | 0 ( 1 )
 |  |  | [NAME] | Sylhet |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Female | Dhaka |  |  |  |  |  | 0.8 ( 21 )
 |  |  | Male | Dhaka |  |  |  |  |  |  |  |  | 4.9 ( 33 )
 |  |  | [NAME] | Dhaka |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Dhaka |  | 5.3 ( 1 ) |  |  |  | 7 ( 1 ) | 7 ( 1 ) |  | 4.9 ( 1 ) |  | 4 ( 1 ) |  | 4 ( 1 ) |  | 1.7 ( 1 ) |  | 1.4 ( 1 )
 |  |  | [NAME] | Dhaka |  | 7.3 ( 1 ) |  |  |  | 11 ( 1 ) | 10.5 ( 1 ) |  | 7.1 ( 1 )
 |  |  | [NAME] | Dhaka |  | 1.2 ( 1 ) |  |  |  | 0.5 ( 1 ) | 1 ( 1 ) |  | 1.3 ( 1 )
 |  |  | Male Detoxification clinic | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0.2 ( 1 ) |  | 2.5 ( 1 )
 |  |  | Male | Mymensingh |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Narayanganj |  | 1.5 ( 1 ) |  |  |  | 0.8 ( 1 ) | 1 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Narsingdi |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Benapole Male | Khulna |  | 0 ( 1 )
 |  |  | Male | Jessore |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Satkhira |  | 0.4 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Barisal |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Chapai Nawabganj Male | [NAME] |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | [NAME] | [NAME] |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) |  |  |  |  | 0 ( 1 )
 |  |  | [NAME] | [NAME] |  | 0 ( 1 ) |  |  |  | 1.7 ( 1 ) | 1.8 ( 1 ) |  | 2 ( 1 ) |  | 0 ( 1 )
 |  |  | Kanshat Male | [NAME] |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Dinajpur |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 )
 |  |  | Male | Naogaon |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | Pabna |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Male | [NAME] |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | [NAME] | Rangpur |  | 0 ( 1 )
 |  |  | Male | Rangpur |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 )
 |  |  | Male | Sirajganj |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 | HIV prevalence among people who inject drugs and heroin smokers | Percent | Narayanganj & Tongi Female |  |  |  |  |  |  |  | 0.8 ( 21 ) |  | 0 ( 33 )
 |  |  | Dhaka, Narayanganj and [NAME] | Dhaka |  | 1.2 ( 1 ) |  |  |  | 1 ( 1 ) | 0.8 ( 1 ) |  | 0 ( 1 )
 |  |  | Benapole Female | Khulna |  | 1 ( 1 )
 |  |  | [NAME] | Khulna |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Total | Khulna |  |  |  |  |  |  | 0 ( 21 )
 |  |  | Male | Bagerhat |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Male | Jhenaidah |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Male | Khulna |  | 0 ( 1 ) |  |  |  | 0.3 ( 1 ) | 0 ( 1 )
 |  |  | Male | Kushtia |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Male | Patuakhali |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Male | Joypurhat |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 | Men who have sex with men (MSM) and [NAME])
 | Active syphilis prevalence among men who have sex with men | Percent | Total |  |  |  |  |  |  | 1 ( 45 )
 |  |  | Total | Dhaka |  | 1.5 ( 1 ) |  |  |  | 1 ( 1 ) | 0.2 ( 1 ) |  | 2 ( 1 ) |  | 1.5 ( 1 ) |  | 0.7 ( 1 ) |  | 1.8 ( 1 )
 | Active syphilis prevalence among men who have sex with men and male sex workers | Percent | Total | Chittagong |  | 4.5 ( 1 ) |  |  |  | 4.1 ( 1 ) |  |  | 4.9 ( 1 ) |  | 2.8 ( 1 ) |  | 4.3 ( 1 )
 |  |  | Total | Sylhet |  |  |  |  |  |  |  |  | 5.6 ( 1 ) |  | 3.3 ( 1 ) |  | 3 ( 1 )
 |  |  | Total | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 6.7 ( 1 ) |  | 7 ( 1 )
 |  |  | Total | Mymensingh |  |  |  |  |  |  |  |  |  |  | 2.5 ( 1 ) |  | 2.3 ( 1 )
 |  |  | Hili | Rangpur |  | 3.2 ( 1 )
 | Active syphilis prevalence among transgender/Hijra/Waria | Percent | Dhaka and Manikganj | Dhaka |  | 6.1 ( 1 ) |  |  |  | 7.7 ( 1 ) | 6.5 ( 1 ) |  | 5.2 ( 1 ) |  | 10.4 ( 1 )
 |  |  | Total | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  | 10.4 ( 1 )
 |  |  | Hili | Rangpur |  | 3.2 ( 1 )
 | Estimated number of men who have sex with men | Number (High estimate) | Total |  |  |  | 143065 ( 74 ) |  |  |  |  |  |  | 150000 ( 30 )
 |  | Number (Low estimate) | Total |  |  |  | 32967 ( 74 ) |  |  |  |  |  |  | 40000 ( 30 )
 | HIV prevalence among men who have sex with men | Percent | Central areas A |  |  |  |  |  |  |  |  |  | 0.4 ( 33 )
 |  |  | Major urban area |  |  |  |  |  |  |  |  |  |  | 0 ( 55 ) |  |  |  |  |  |  |  | 0.3 ( 55 )
 |  |  | Outside major urban area |  |  |  |  |  |  |  |  |  |  | 0.3 ( 55 ) |  |  | 0 ( 55 ) | 0 ( 55 ) |  | 0 ( 55 )
 |  |  | Outside major urban area Central areas |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 54 ) |  | 0 ( 54 )
 |  |  | Outside major urban area Central areas B |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 54 )
 |  |  | Outside major urban area Northeast A |  |  |  |  |  |  |  |  |  | 0.3 ( 54 )
 |  |  | Outside major urban area Southeast A |  |  |  |  |  |  |  |  |  | 0.3 ( 54 )
 |  |  | Total |  |  | 0.0 ( 72 ) |  |  |  | 0.2 ( 7 ) | 0.2 ( 35 ) | 0.4 ( 7 ) | 0.4 ( 33 )
 |  |  | Total <25 yr |  |  | 0 ( 72 ) |  |  |  | 0 ( 7 ) |  | 0 ( 7 )
 |  |  | Total 25+ yr |  |  | 0 ( 72 ) |  |  |  | 0 ( 7 ) |  | 0 ( 7 )
 |  |  | Total | Dhaka |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0.2 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0.2 ( 1 ) |  | 0 ( 1 )
 | HIV prevalence among men who have sex with men and male sex workers | Percent | Total | Chittagong |  |  |  |  |  |  |  |  | 0.4 ( 33 )
 |  |  | Total | Chittagong |  | 0 ( 1 ) |  |  |  | 0.3 ( 1 ) |  |  | 0.4 ( 1 ) |  | 0.3 ( 1 ) |  | 0 ( 1 )
 |  |  | Total | Sylhet |  |  |  |  |  |  |  |  | 0.4 ( 33 )
 |  |  | Total | Sylhet |  |  |  |  |  |  |  |  | 0.4 ( 1 ) |  | 0.3 ( 1 ) |  | 0 ( 1 )
 |  |  | Total | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0.2 ( 1 )
 |  |  | Total | Mymensingh |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Hili | Rangpur |  | 0 ( 1 )
 | HIV prevalence among transgender/Hijra/Waria | Percent | Total |  |  |  |  |  |  |  |  | 0.8 ( 18 )
 |  |  | Dhaka and Manikganj | Dhaka |  | 1 ( 1 ) |  |  |  | 0.3 ( 1 ) | 0.6 ( 1 ) |  | 0.8 ( 1 ) |  | 0.2 ( 1 )
 |  |  | Total | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  | 0.8 ( 34 )
 |  |  | Total | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  | 0.8 ( 1 )
 |  |  | Total | Manikganj |  |  |  |  |  | 0.3 ( 34 ) | 0.6 ( 21 ) |  | 0.8 ( 33 ) |  | 0.2 ( 34 )
 |  |  | Hili | Rangpur |  | 3.2 ( 1 )
 | Sex workers (SWs)
 | Active syphilis prevalence among sex workers | Percent | Total |  |  |  |  |  |  | 4.2 ( 45 )
 |  |  | Teknaf FSWs Casual | Chittagong |  |  |  |  |  | 4.5 ( 1 ) | 3.5 ( 1 ) |  | 10 ( 1 )
 |  |  | Teknaf FSWs Combined Residence-based and Hotel-based | Chittagong |  | 1.7 ( 1 )
 |  |  | FSWs Casual | Chandpur |  | 0 ( 1 ) |  |  |  | 7.4 ( 1 ) | 5.7 ( 1 ) |  | 9.3 ( 1 )
 |  |  | FSWs Hotel-based | Chittagong |  | 4.7 ( 1 ) |  |  |  | 4.9 ( 1 ) | 4.2 ( 1 ) |  | 1.6 ( 1 ) |  | 5.3 ( 1 )
 |  |  | FSWs Street-based | Chittagong |  | 10.3 ( 1 ) |  |  |  | 10.9 ( 1 ) | 10.1 ( 1 ) |  | 7.5 ( 1 ) |  | 11.9 ( 1 )
 |  |  | FSWs Hotel-based | Sylhet |  | 9.3 ( 1 ) |  |  |  | 8.3 ( 1 ) | 8.3 ( 1 ) |  | 6.1 ( 1 ) |  | 5.4 ( 1 )
 |  |  | Doulatdia FSWs Brothel-based | Dhaka |  |  |  |  |  |  | 4.2 ( 1 ) |  | 3.8 ( 1 ) |  | 6 ( 1 ) |  | 6.7 ( 1 ) |  | 14.8 ( 1 )
 |  |  | FSWs Hotel-based | Dhaka |  | 2.2 ( 1 ) |  |  |  | 3 ( 1 ) |  |  |  |  | 4.5 ( 1 ) |  | 4.9 ( 1 )
 |  |  | FSWs Street-based | Dhaka |  | 4.6 ( 1 ) |  |  |  | 7.3 ( 1 ) | 7 ( 1 ) |  | 6.2 ( 1 ) |  | 9.7 ( 1 ) |  | 8.4 ( 1 ) |  | 16.7 ( 1 ) |  | 24.3 ( 1 ) |  | 33.8 ( 1 )
 |  |  | MSWs | Dhaka |  | 4.2 ( 1 ) |  |  |  | 3 ( 1 ) | 4.9 ( 1 ) |  | 3.8 ( 1 ) |  | 6.2 ( 1 ) |  | 3.2 ( 1 ) |  | 7.7 ( 1 )
 |  |  | [NAME] | Faridpur |  |  |  |  |  |  | 2.7 ( 1 ) |  | 3.8 ( 1 ) |  | 8.2 ( 1 )
 |  |  | [NAME] | Jamalpur |  |  |  |  |  |  | 6 ( 1 ) |  | 8.4 ( 1 ) |  | 11 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Jamalpur |  | 3.2 ( 1 ) |  |  |  | 2.3 ( 1 )
 |  |  | [NAME] | [NAME] |  |  |  |  |  |  | 6.3 ( 1 ) |  | 8.4 ( 1 ) |  | 12.2 ( 1 )
 |  |  | [NAME] | Mymensingh |  |  |  |  |  |  | 4.7 ( 1 ) |  | 10.7 ( 1 ) |  | 10.7 ( 1 ) |  | 9.2 ( 1 ) |  |  |  | 10.2 ( 1 )
 |  |  | [NAME] | Narayanganj |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 28.7 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Narayanganj |  |  |  |  |  | 3.6 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Netrokona |  | 1.2 ( 1 ) |  |  |  | 1.7 ( 1 )
 |  |  | [NAME] | Tangail |  |  |  |  |  |  | 1.5 ( 1 ) |  | 1.7 ( 1 ) |  | 3.2 ( 1 ) |  | 3.9 ( 1 ) |  | 8.1 ( 1 ) |  | 6.2 ( 1 ) |  | 13.8 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Tangail |  |  |  |  |  | 1.4 ( 1 )
 |  |  | FSWs Street-based | Tangail |  |  |  |  |  |  |  |  |  |  |  |  | 3 ( 1 )
 |  |  | Benapole FSWs Hotel-based | Khulna |  | 0 ( 1 )
 |  |  | Benapole FSWs Residence-based | Khulna |  | 1.2 ( 1 )
 |  |  | Fultola, Baniasanta and Bagerhat FSWs Brothel-based | Khulna |  |  |  |  |  |  | 0.4 ( 1 ) |  | 2.8 ( 1 ) |  | 4.8 ( 1 ) |  | 5 ( 1 ) |  | 6 ( 1 ) |  | 11.7 ( 1 )
 |  |  | [NAME] | Jessore |  |  |  |  |  |  | 2.9 ( 1 ) |  | 4.2 ( 1 ) |  | 7.6 ( 1 ) |  | 3.6 ( 1 ) |  | 8 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Jessore |  | 0.8 ( 1 ) |  |  |  | 1.8 ( 1 )
 |  |  | FSWs Street-based | Khulna |  | 0.5 ( 1 ) |  |  |  | 3 ( 1 ) |  |  |  |  | 1.5 ( 1 ) |  | 4.7 ( 1 )
 |  |  | FSWs Casual | Barisal |  |  |  |  |  | 1.8 ( 1 ) | 1.5 ( 1 ) |  | 1.5 ( 1 ) |  | 5.1 ( 1 )
 |  |  | [NAME] | Patuakhali |  |  |  |  |  |  | 1.9 ( 1 ) |  | 9.7 ( 1 ) |  | 5.1 ( 1 )
 |  |  | Burimari FSWs Casual | Rangpur |  | 2.3 ( 1 ) |  |  |  | 1 ( 1 ) | 0.9 ( 1 ) |  | 0.5 ( 1 ) |  | 1 ( 1 )
 |  |  | FSWs Street-based | Rangpur |  | 3.9 ( 1 ) |  |  |  | 9.8 ( 1 )
 |  |  | Hili FSWs Casual | Rangpur |  | 4 ( 1 ) |  |  |  | 2.7 ( 1 ) | 4.7 ( 1 ) |  | 4.2 ( 1 ) |  | 6.9 ( 1 )
 |  |  | Hili FSWs Street-based | Rangpur |  | 12.5 ( 1 )
 | Estimated number of sex workers | Number (Estimate) | FSWs |  |  |  |  |  |  |  |  |  |  | 90000 ( 18 )
 |  | Number (High estimate) | FSWs |  |  |  |  | 74300 ( 73 )
 |  | Number (Low estimate) | FSWs |  |  |  |  | 63600 ( 73 )
 | HIV prevalence among sex workers | Percent | Central C FSWs |  |  |  |  |  |  |  |  |  | 0.3 ( 33 )
 |  |  | Central D FSWs |  |  |  |  |  |  |  |  |  | 0.5 ( 33 )
 |  |  | Central L FSWs |  |  |  |  |  |  |  |  |  | 0 ( 33 )
 |  |  | Central N FSWs |  |  |  |  |  |  |  |  |  | 0 ( 33 )
 |  |  | Central P FSWs |  |  |  |  |  |  |  |  |  | 0.5 ( 33 )
 |  |  | Female |  |  | 0.3 ( 72 )
 |  |  | FSWs |  |  |  |  |  |  | 0.3 ( 1 ) |  | 0.3 ( 1 )
 |  |  | [NAME] |  |  |  |  |  |  |  |  | <1.0 ( 18 ) | <1.0 ( 33 )
 |  |  | FSWs Hotel-based |  |  |  |  |  |  |  |  | <1.0 ( 18 )
 |  |  | FSWs Street-based |  |  |  |  |  |  |  |  | <1.0 ( 18 ) | <1.0 ( 33 )
 |  |  | Fultola, Baniasanta & Bagerhat FSWs Brothel-based |  |  |  |  |  |  |  | 0 ( 21 ) |  | 0.4 ( 33 )
 |  |  | Hili FSWs Casual |  |  |  |  |  |  |  | 0.8 ( 21 ) |  | 1.7 ( 33 )
 |  |  | Male |  |  | 0 ( 72 )
 |  |  | MSWs |  |  |  |  |  |  | 0.3 ( 7 ) |  | 0 ( 18 )
 |  |  | Outside major urban area Central areas FSWs |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 55 )
 |  |  | Outside major urban area Central P FSWs |  |  |  |  |  |  |  |  |  |  | 0.5 ( 55 )
 |  |  | Southeast areas FSWs |  |  |  |  |  |  |  |  |  | 0 ( 33 )
 |  |  | Southwest A & C FSWs |  |  |  |  |  |  |  |  |  | 0 ( 33 )
 |  |  | Southwest B FSWs |  |  |  |  |  |  |  |  |  | 0.6 ( 33 )
 |  |  | Total |  |  | 0.2 ( 72 )
 |  |  | Total <25 yr |  |  | 0.2 ( 72 ) |  |  |  | 0.2 ( 7 )
 |  |  | Total 25+ yr |  |  | 0.3 ( 72 ) |  |  |  | 0.3 ( 7 )
 |  |  | FSWs Hotel-based | Chittagong |  |  |  |  |  |  | 0 ( 21 ) |  | 0 ( 33 )
 |  |  | FSWs Street-based | Chittagong |  |  |  |  |  |  | 0 ( 21 ) |  | 0 ( 33 )
 |  |  | Teknaf FSWs Casual | Chittagong |  |  |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Teknaf FSWs Combined Residence-based and Hotel-based | Chittagong |  | 0 ( 1 )
 |  |  | FSWs Casual | Chandpur |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 21 ) |  | 0 ( 33 )
 |  |  | FSWs Hotel-based | Chittagong |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 1.5 ( 1 )
 |  |  | FSWs Street-based | Chittagong |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Teknaf FSWs Casual | Cox's Bazar |  |  |  |  |  |  | 0 ( 21 ) |  | 0 ( 33 )
 |  |  | FSWs Hotel-based | Sylhet |  |  |  |  |  |  | 0 ( 21 ) |  | 0.6 ( 33 )
 |  |  | FSWs Hotel-based | Sylhet |  | 0.4 ( 1 ) |  |  |  | 0.6 ( 1 ) | 0 ( 1 ) |  | 0.6 ( 1 ) |  | 0.6 ( 1 )
 |  |  | Doulatdia FSWs Brothel-based | Dhaka |  |  |  |  |  |  | 0.2 ( 1 ) |  | 0.3 ( 1 ) |  | 0.5 ( 1 ) |  | 0.7 ( 1 ) |  | 0.3 ( 1 )
 |  |  | FSWs Street-based | Dhaka |  |  |  |  |  |  | 0.3 ( 21 ) |  | 0.2 ( 33 )
 |  |  | Major urban area FSWs | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 55 ) | 0 ( 55 ) | 0.2 ( 55 )
 |  |  | FSWs Hotel-based | Dhaka |  | 0.2 ( 1 ) |  |  |  | 0 ( 1 ) |  |  |  |  | 0 ( 1 ) |  | 0.2 ( 1 )
 |  |  | FSWs Street-based | Dhaka |  | 0.5 ( 1 ) |  |  |  | 0.2 ( 1 ) | 0.3 ( 1 ) |  | 0.2 ( 1 ) |  | 0.2 ( 1 ) |  | 0.2 ( 1 ) |  | 0.5 ( 1 ) |  | 0.2 ( 1 ) |  | 0 ( 1 )
 |  |  | MSWs | Dhaka |  | 0 ( 1 ) |  |  |  | 0.3 ( 1 ) | 0.7 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | [NAME] | Faridpur |  |  |  |  |  |  | 0 ( 21 ) |  | 0 ( 33 ) |  | 0 ( 1 )
 |  |  | Outside major urban area Goalanda FSWs | Faridpur |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.5 ( 55 )
 |  |  | [NAME] | Jamalpur |  |  |  |  |  |  | 0 ( 21 ) |  | 0 ( 33 ) |  | 0 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Jamalpur |  | 0.5 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | [NAME] | [NAME] |  |  |  |  |  |  | 0.5 ( 21 ) |  | 0 ( 33 ) |  | 0.5 ( 1 )
 |  |  | [NAME] | Mymensingh |  |  |  |  |  |  | 0.7 ( 21 ) |  | 0.7 ( 33 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | [NAME] | Narayanganj |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.5 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Narayanganj |  |  |  |  |  | 0.4 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Netrokona |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Doulatdia FSWs Brothel-based | Rajbari |  |  |  |  |  |  | 0.2 ( 21 ) |  | 0.3 ( 33 )
 |  |  | [NAME] | Tangail |  |  |  |  |  |  | 0.3 ( 21 ) |  | 0.2 ( 33 ) |  | 0.5 ( 1 ) |  | 0.2 ( 1 ) |  | 0.5 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Tangail |  |  |  |  |  | 0 ( 1 )
 |  |  | FSWs Street-based | Tangail |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 )
 |  |  | Major urban area FSWs | Tangail |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 55 )
 |  |  | Benapole FSWs Hotel-based | Khulna |  | 0 ( 1 )
 |  |  | Benapole FSWs Residence-based | Khulna |  | 0.4 ( 1 )
 |  |  | Fultola, Baniasanta and Bagerhat FSWs Brothel-based | Khulna |  |  |  |  |  |  | 0 ( 1 ) |  | 0.4 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | [NAME] | Jessore |  |  |  |  |  |  | 0 ( 21 ) |  | 0.6 ( 33 ) |  | 0.6 ( 1 ) |  | 0.5 ( 1 ) |  | 0.5 ( 1 )
 |  |  | FSWs Combined Residence-based and Hotel-based | Jessore |  | 0.4 ( 1 ) |  |  |  | 0.5 ( 1 )
 |  |  | FSWs Street-based | Khulna |  | 0 ( 1 ) |  |  |  | 0.4 ( 1 ) |  |  |  |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | FSWs Casual | Barisal |  |  |  |  |  |  | 0 ( 21 ) |  | 0 ( 33 )
 |  |  | FSWs Casual | Barisal |  |  |  |  |  | 0.3 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | [NAME] | Patuakhali |  |  |  |  |  |  | 0 ( 21 ) |  | 0 ( 33 ) |  | 0 ( 1 )
 |  |  | Burimari FSWs Casual | Lalmonirhat |  |  |  |  |  |  | 0 ( 21 ) |  | 0 ( 33 )
 |  |  | Burimari FSWs Casual | Rangpur |  | 0 ( 1 ) |  |  |  | 0 ( 1 ) | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | FSWs Street-based | Rangpur |  | 0 ( 1 ) |  |  |  | 0.4 ( 1 )
 |  |  | Hili FSWs Casual | Rangpur |  | 1.6 ( 1 ) |  |  |  | 2.7 ( 1 ) | 0.8 ( 1 ) |  | 1.7 ( 1 ) |  | 2 ( 1 )
 |  |  | Hili FSWs Street-based | Rangpur |  | 0 ( 1 )
Populations at higher risk
 | Active syphilis prevalence among Babus (regular partners or boyfriends of brothel based female sex workers) | Percent | Doulatdia | Dhaka |  |  |  |  |  |  |  |  |  |  | 6.3 ( 1 ) |  | 6 ( 1 )
 |  |  | Total | Jamalpur |  |  |  |  |  |  |  |  |  |  | 5.4 ( 1 )
 |  |  | Total | Tangail |  |  |  |  |  |  |  |  |  |  | 2 ( 1 ) |  | 1.6 ( 1 )
 | Active syphilis prevalence among heroin smokers | Percent | Male | Dhaka |  | 3.4 ( 1 ) |  |  |  | 4.2 ( 1 ) | 3 ( 1 ) |  | 3 ( 1 ) |  | 2.6 ( 1 ) |  | 3.4 ( 1 )
 | Active syphilis prevalence among high-risk occupation group (proxy for clients of female sex workers) | Percent | Dockworkers | Chittagong |  |  |  |  |  |  |  |  | 1.8 ( 1 ) |  |  |  |  |  | 2.8 ( 1 )
 |  |  | [NAME] pullers | Chittagong |  |  |  |  |  |  |  |  |  |  | 1.2 ( 1 ) |  |  |  | 1 ( 1 )
 |  |  | Launch workers | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  | 1.5 ( 1 )
 |  |  | [NAME] pullers | Dhaka |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0.2 ( 1 )
 |  |  | Truck drivers | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  | 1.1 ( 1 ) |  | 2.1 ( 1 ) |  |  |  | 2 ( 1 )
 |  |  | Benapole Truck drivers | Khulna |  |  |  |  |  |  |  |  | 0 ( 1 )
 |  |  | [NAME] | Khulna |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 ( 1 )
 |  |  | [NAME] pullers | Jessore |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1 ( 1 )
 |  |  | Truck drivers | Jessore |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.8 ( 1 )
 | Active syphilis prevalence among partners of transgender/Hijra/Waria | Percent | Dhaka and Manikganj | Dhaka |  |  |  |  |  |  |  |  |  |  | 2.3 ( 1 )
 | Active syphilis prevalence among people who inject drugs and heroin smokers | Percent | Dhaka, Narayanganj and [NAME] | Dhaka |  | 5.9 ( 1 ) |  |  |  | 14.6 ( 1 ) | 9.9 ( 1 ) |  | 9.2 ( 1 )
 |  |  | Benapole Female | Khulna |  | 0 ( 1 )
 |  |  | [NAME] | Khulna |  | 1.1 ( 1 ) |  |  |  | 1.5 ( 1 )
 |  |  | Male | Bagerhat |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Male | Jhenaidah |  | 1.3 ( 1 ) |  |  |  | 0.7 ( 1 )
 |  |  | Male | Khulna |  | 0.8 ( 1 ) |  |  |  | 1 ( 1 ) | 1 ( 1 )
 |  |  | Male | Kushtia |  | 1.5 ( 1 ) |  |  |  | 2.3 ( 1 )
 |  |  | Male | Patuakhali |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Male | Joypurhat |  | 1 ( 1 ) |  |  |  | 3.1 ( 1 )
 | Active syphilis prevalence among STI patients | Percent | Total | Chittagong |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.2 ( 1 ) |  | 4.2 ( 1 ) |  | 7.6 ( 1 )
 |  |  | Total | Sylhet |  |  |  |  |  |  |  |  |  |  |  |  | 0.9 ( 1 ) |  | 5.1 ( 1 ) |  |  |  | 8.1 ( 1 )
 |  |  | Total | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 5.2 ( 1 ) |  | 11 ( 1 )
 |  |  | [NAME] and [NAME] | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 1.5 ( 1 ) |  | 1.7 ( 1 ) |  | 2.2 ( 1 )
 | HIV prevalence among Babus (regular partners or boyfriends of brothel based female sex workers) | Percent | Doulatdia | Dhaka |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0 ( 1 )
 |  |  | Total | Jamalpur |  |  |  |  |  |  |  |  |  |  | 0 ( 1 )
 |  |  | Total | Tangail |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0 ( 1 )
 | HIV prevalence among heroin smokers | Percent | Total |  |  |  |  |  |  |  |  | 0.5 ( 18 )
 |  |  | Total | Dhaka |  |  |  |  |  |  | 0.0 ( 21 ) |  | 0.5 ( 33 )
 |  |  | Male | Dhaka |  | 0 ( 1 ) |  |  |  | 0.2 ( 1 ) | 0 ( 1 ) |  | 0.5 ( 1 ) |  | 0.8 ( 1 ) |  | 0 ( 1 )
 | HIV prevalence among high-risk occupation group (proxy for clients of female sex workers) | Percent | [NAME] pullers |  |  |  |  |  |  |  |  | 0.0 ( 18 ) | 0.0 ( 33 )
 |  |  | Truck drivers |  |  |  |  |  |  |  |  | 0.0 ( 18 )
 |  |  | [NAME] pullers | Chittagong |  |  |  |  |  |  |  |  |  |  | 0.0 ( 34 ) |  |  |  | 0.0 ( 34 )
 |  |  | Dockworkers | Chittagong |  |  |  |  |  |  |  |  | 0 ( 1 ) |  |  |  |  |  | 0 ( 1 )
 |  |  | [NAME] pullers | Chittagong |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | [NAME] pullers | Dhaka |  |  |  |  |  |  |  |  | 0.0 ( 33 ) |  | 0.2 ( 34 )
 |  |  | Launch workers | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 )
 |  |  | [NAME] pullers | Dhaka |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0.2 ( 1 )
 |  |  | Truck drivers | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Benapole Truck drivers | Khulna |  |  |  |  |  |  |  |  | 0 ( 1 )
 |  |  | [NAME] | Khulna |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 )
 |  |  | [NAME] pullers | Jessore |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 )
 |  |  | Truck drivers | Jessore |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 )
 | HIV prevalence among partners of transgender/Hijra/Waria | Percent | Dhaka and Manikganj | Dhaka |  |  |  |  |  |  |  |  |  |  | 0 ( 1 )
 | HIV prevalence among STI patients | Percent | Major urban area Medical college hospital |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.3 ( 50 )
 |  |  | Outside major urban area |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 50 ) |  | 0 ( 50 )
 |  |  | Outside major urban area NEP-C |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 50 )
 |  |  | Outside major urban area | Chittagong |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.5 ( 50 )
 |  |  | Total | Chittagong |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0.2 ( 1 ) |  | 0 ( 1 ) |  | 0.2 ( 1 )
 |  |  | Total | Sylhet |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0 ( 1 ) |  |  |  | 0 ( 1 )
 |  |  | Total | Dhaka |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0.3 ( 1 )
 |  |  | [NAME] and [NAME] | [NAME] |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 0 ( 1 ) |  | 0 ( 1 ) |  | 0 ( 1 )
Populations at lower risk
 | Cumulative AIDS cases | Number | Total |  | 1204 ( 75 ) | 1101 ( 71 ) | 850 ( 71 ) | 619 ( 71 ) | 476 ( 71 ) | 365 ( 71 ) | 240 ( 71 ) | 134 ( 71 ) |  | 87 ( 71 ) |  | 57 ( 71 ) | 26 ( 71 ) | 16 ( 71 ) |  | 9 ( 71 ) |  | 4 ( 71 ) |  | 1 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 )
 | Cumulative AIDS deaths | Number | Total |  | 390 ( 75 ) | 325 ( 71 ) | 241 ( 71 ) | 204 ( 71 ) | 165 ( 71 ) | 123 ( 71 ) | 109 ( 71 ) | 74 ( 71 ) |  | 44 ( 71 ) |  | 30 ( 71 ) | 20 ( 71 ) | 4 ( 71 ) |  | 1 ( 71 ) |  | 0 ( 71 ) |  | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 )
 | Cumulative HIV cases | Number | Total |  | 2871 ( 75 ) | 2533 ( 71 ) | 2088 ( 71 ) | 1745 ( 71 ) | 1495 ( 71 ) | 1207 ( 71 ) | 874 ( 71 ) | 658 ( 71 ) |  | 465 ( 71 ) |  | 363 ( 71 ) | 248 ( 71 ) | 188 ( 71 ) |  | 157 ( 71 ) |  | 126 ( 71 ) |  | 106 ( 71 ) | 94 ( 71 ) | 75 ( 71 ) | 46 ( 71 ) | 36 ( 71 ) | 23 ( 71 ) | 11 ( 71 ) | 9 ( 71 ) | 3 ( 71 ) | 1 ( 71 )
 | Estimated AIDS deaths | Number (Estimate) | Total |  |  | <500 ( 72 ) |  | <200 ( 1 ) |  | 510 ( 50 ) |  | <500 ( 57 ) |  |  |  | <500 ( 57 ) |  | <100 ( 1 )
 |  | Number (High estimate) | Total |  |  | 1400 ( 72 ) |  | <500 ( 1 ) |  |  |  |  |  |  |  |  |  | <200 ( 1 )
 |  | Number (Low estimate) | Total |  |  | <200 ( 72 ) |  | <100 ( 1 ) |  |  |  |  |  |  |  |  |  | <100 ( 1 )
 | Estimated deaths due to TB | Thousands (Estimate) | Total |  |  |  | 64 ( 70 ) | 64 ( 70 ) | 64 ( 70 ) |  |  | 69 ( 70 ) |  |  |  |  |  |  |  | 72 ( 70 ) |  |  |  |  |  |  | 69 ( 70 ) |  |  |  |  | 62 ( 70 )
 |  | Thousands (High estimate) | Total |  |  |  | 85 ( 70 ) | 85 ( 70 ) | 85 ( 70 ) |  |  | 89 ( 70 ) |  |  |  |  |  |  |  | 91 ( 70 ) |  |  |  |  |  |  | 86 ( 70 ) |  |  |  |  | 96 ( 70 )
 |  | Thousands (Low estimate) | Total |  |  |  | 47 ( 70 ) | 47 ( 70 ) | 46 ( 70 ) |  |  | 51 ( 70 ) |  |  |  |  |  |  |  | 56 ( 70 ) |  |  |  |  |  |  | 54 ( 70 ) |  |  |  |  | 35 ( 70 )
 | Estimated incidence of TB cases who are HIV-positive | Per 100,000 population (Estimate) | Total |  |  |  | <1 ( 70 ) | <1 ( 70 ) | <1 ( 70 ) |  |  | <1 ( 70 ) |  |  |  |  |  |  |  | <1 ( 70 ) |  |  |  |  |  |  | <1 ( 70 ) |  |  |  |  | <1 ( 70 )
 |  | Per 100,000 population (High estimate) | Total |  |  |  | <1 ( 70 ) | <1 ( 70 ) | <1 ( 70 ) |  |  | <1 ( 70 ) |  |  |  |  |  |  |  | <1 ( 70 ) |  |  |  |  |  |  | <1 ( 70 ) |  |  |  |  | <1 ( 70 )
 |  | Per 100,000 population (Low estimate) | Total |  |  |  | <1 ( 70 ) | <1 ( 70 ) | <1 ( 70 ) |  |  | <1 ( 70 ) |  |  |  |  |  |  |  | <1 ( 70 ) |  |  |  |  |  |  | <1 ( 70 ) |  |  |  |  | <1 ( 70 )
 | Estimated number of adults and children living with HIV | Number (Estimate) | Female 15+ yr |  |  | <1000 ( 72 ) |  | 1900 ( 1 ) |  | 2000 ( 50 ) |  | 1400 ( 57 ) |  |  |  | <500 ( 57 ) |  | <500 ( 1 )
 |  |  | Total |  |  | 7700 ( 72 ) |  | 6300 ( 1 ) |  |  |  |  |  |  |  |  |  | 1100 ( 1 )
 |  |  | Total 0-14 yr |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 310 ( 61 )
 |  |  | Total 15+ yr |  |  | 7700 ( 72 ) |  | 6200 ( 1 ) |  | 12000 ( 57 ) |  | 11000 ( 57 ) |  |  |  | 7500 ( 57 ) |  | 1100 ( 1 )
 |  |  | Total 15-49 yr |  |  |  |  |  |  | 12000 ( 57 ) |  | 11000 ( 57 ) |  |  |  | 7500 ( 55 )
 |  | Number (High estimate) | Female 15+ yr |  |  | 1300 ( 72 ) |  | 2400 ( 1 ) |  |  |  |  |  |  |  |  |  | <1000 ( 1 )
 |  |  | Total |  |  | 16000 ( 72 ) |  | 8300 ( 1 ) |  |  |  |  |  |  |  |  |  | 2400 ( 1 )
 |  |  | Total 15+ yr |  |  | 16000 ( 72 ) |  | 8100 ( 1 ) |  |  |  |  |  |  |  |  |  | 2300 ( 1 )
 |  | Number (Low estimate) | Female 15+ yr |  |  | <500 ( 72 ) |  | 1500 ( 1 ) |  |  |  |  |  |  |  |  |  | <100 ( 1 )
 |  |  | Total |  |  | 4900 ( 72 ) |  | 5200 ( 1 ) |  |  |  |  |  |  |  |  |  | <100 ( 1 )
 |  |  | Total 15+ yr |  |  | 4800 ( 72 ) |  | 5100 ( 1 ) |  |  |  |  |  |  |  |  |  | <100 ( 1 )
 | Estimated number of adults and children with TB | Thousands (Estimate) | Total |  |  |  | 610 ( 70 ) | 610 ( 70 ) | 600 ( 70 ) |  |  | 620 ( 70 ) |  |  |  |  |  |  |  | 620 ( 70 ) |  |  |  |  |  |  | 580 ( 70 ) |  |  |  |  | 520 ( 70 )
 |  | Thousands (High estimate) | Total |  |  |  | 1000 ( 70 ) | 1000 ( 70 ) | 990 ( 70 ) |  |  | 1000 ( 70 ) |  |  |  |  |  |  |  | 1000 ( 70 ) |  |  |  |  |  |  | 950 ( 70 ) |  |  |  |  | 990 ( 70 )
 |  | Thousands (Low estimate) | Total |  |  |  | 280 ( 70 ) | 280 ( 70 ) | 270 ( 70 ) |  |  | 290 ( 70 ) |  |  |  |  |  |  |  | 290 ( 70 ) |  |  |  |  |  |  | 260 ( 70 ) |  |  |  |  | 210 ( 70 )
 | Estimated number of incident cases of TB | Thousands (Estimate) | Total |  |  |  | 330 ( 70 ) | 330 ( 70 ) | 330 ( 70 ) |  |  | 320 ( 70 ) |  |  |  |  |  |  |  | 290 ( 70 ) |  |  |  |  |  |  | 260 ( 70 ) |  |  |  |  | 240 ( 70 )
 |  | Thousands (High estimate) | Total |  |  |  | 400 ( 70 ) | 400 ( 70 ) | 390 ( 70 ) |  |  | 380 ( 70 ) |  |  |  |  |  |  |  | 350 ( 70 ) |  |  |  |  |  |  | 320 ( 70 ) |  |  |  |  | 350 ( 70 )
 |  | Thousands (Low estimate) | Total |  |  |  | 270 ( 70 ) | 270 ( 70 ) | 270 ( 70 ) |  |  | 260 ( 70 ) |  |  |  |  |  |  |  | 240 ( 70 ) |  |  |  |  |  |  | 210 ( 70 ) |  |  |  |  | 140 ( 70 )
 | Estimated number of people newly infected with HIV | Number (Estimate) | Total |  |  | 1300 ( 72 ) |  | 1400 ( 1 ) |  |  |  |  |  |  |  |  |  | <500 ( 72 )
 |  |  | Total 15+ yr |  |  | 1300 ( 72 ) |  | 1400 ( 1 ) |  |  |  |  |  |  |  |  |  | <500 ( 72 )
 |  | Number (High estimate) | Total |  |  | 4300 ( 72 ) |  | 2400 ( 1 ) |  |  |  |  |  |  |  |  |  | <1000 ( 72 )
 |  |  | Total 15+ yr |  |  | 4300 ( 72 ) |  | 2400 ( 1 ) |  |  |  |  |  |  |  |  |  | <1000 ( 72 )
 |  | Number (Low estimate) | Total |  |  | <500 ( 72 ) |  | 1000 ( 1 ) |  |  |  |  |  |  |  |  |  | <200 ( 72 )
 |  |  | Total 15+ yr |  |  | <500 ( 72 ) |  | <1000 ( 1 ) |  |  |  |  |  |  |  |  |  | <200 ( 72 )
 | Estimated prevalence of TB | Per 100,000 population (Estimate) | Total |  |  |  | 411 ( 70 ) | 412 ( 70 ) | 414 ( 70 ) |  |  | 440 ( 70 ) |  |  |  |  |  |  |  | 479 ( 70 ) |  |  |  |  |  |  | 494 ( 70 ) |  |  |  |  | 493 ( 70 )
 |  | Per 100,000 population (High estimate) | Total |  |  |  | 671 ( 70 ) | 677 ( 70 ) | 681 ( 70 ) |  |  | 718 ( 70 ) |  |  |  |  |  |  |  | 783 ( 70 ) |  |  |  |  |  |  | 810 ( 70 ) |  |  |  |  | 937 ( 70 )
 |  | Per 100,000 population (Low estimate) | Total |  |  |  | 188 ( 70 ) | 188 ( 70 ) | 189 ( 70 ) |  |  | 206 ( 70 ) |  |  |  |  |  |  |  | 221 ( 70 ) |  |  |  |  |  |  | 225 ( 70 ) |  |  |  |  | 199 ( 70 )
 | HIV incidence among adults (15-49) | Percent (Estimate) | Total |  |  |  |  | <0.1 ( 49 ) |  |  |  |  |  |  |  |  |  | <0.1 ( 49 )
 |  | Percent (High estimate) | Total |  |  |  |  | <0.1 ( 49 ) |  |  |  |  |  |  |  |  |  | <0.1 ( 49 )
 |  | Percent (Low estimate) | Total |  |  |  |  | <0.1 ( 49 ) |  |  |  |  |  |  |  |  |  | <0.1 ( 49 )
 | HIV prevalence among adults (15-49) | Percent (Estimate) | Total |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 ) |  | 0 ( 50 ) |  | <0.1 ( 55 ) |  |  |  | <0.1 ( 55 ) | 0 ( 54 ) | <0.1 ( 1 )
 |  | Percent (High estimate) | Total |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 ) |  |  |  |  |  |  |  |  |  | <0.1 ( 1 )
 |  | Percent (Low estimate) | Total |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 ) |  |  |  |  |  |  |  |  |  | <0.1 ( 1 )
 | HIV prevalence among pregnant women | Percent | Outside major urban area | Chittagong |  |  |  |  |  |  |  |  |  |  |  |  | 0.3 ( 55 )
 | HIV prevalence among TB patients | Percent | Medical college hospital |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  |  | 2.4 ( 50 )
 | HIV prevalence among young people (15-24) | Percent (Estimate) | Female |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 ) |  | 0 ( 50 ) |  |  |  |  |  |  | 0.01 ( 66 )
 |  |  | Male |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 ) |  | 0 ( 50 ) |  |  |  |  |  |  | 0.01 ( 66 )
 |  | Percent (High estimate) | Female |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 )
 |  |  | Male |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 )
 |  | Percent (Low estimate) | Female |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 )
 |  |  | Male |  |  | <0.1 ( 72 ) |  | <0.1 ( 1 )
 | Reported AIDS deaths | Number | Total |  | 65 ( 75 ) | 84 ( 71 ) | 37 ( 71 ) | 39 ( 71 ) | 42 ( 71 ) | 14 ( 71 ) | 35 ( 71 ) | 30 ( 71 ) |  | 14 ( 71 ) |  | 10 ( 71 ) | 16 ( 71 ) | 3 ( 71 ) |  | 1 ( 71 ) |  | 0 ( 71 ) |  | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 )
 | Reported new AIDS cases | Number | Total |  | 103 ( 75 ) | 251 ( 71 ) | 231 ( 71 ) | 143 ( 71 ) | 111 ( 71 ) | 125 ( 71 ) | 106 ( 71 ) | 47 ( 71 ) |  | 30 ( 71 ) |  | 31 ( 71 ) | 10 ( 71 ) | 7 ( 71 ) |  | 5 ( 71 ) |  | 3 ( 71 ) |  | 1 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 ) | 0 ( 71 )
 | Reported new HIV cases | Number | Total |  | 338 ( 75 ) | 445 ( 71 ) | 243 ( 71 ) | 250 ( 71 ) | 288 ( 71 ) | 333 ( 71 ) | 216 ( 71 ) | 193 ( 71 ) |  | 102 ( 71 ) |  | 115 ( 71 ) | 60 ( 71 ) | 31 ( 71 ) |  | 31 ( 71 ) |  | 20 ( 71 ) |  | 12 ( 71 ) | 19 ( 71 ) | 29 ( 71 ) | 10 ( 71 ) | 13 ( 71 ) | 12 ( 71 ) | 2 ( 71 ) | 6 ( 71 ) | 2 ( 71 ) | 1 ( 71 )
 |  |  | Total >45 yr |  | 30 ( 75 ) | 44 ( 71 )
 |  |  | Total 0-5 yr |  | 5 ( 75 ) | 18 ( 71 )
 |  |  | Total 16-25 yr |  | 68 ( 75 ) | 60 ( 71 )
 |  |  | Total 26-35 yr |  | 146 ( 75 ) | 178 ( 71 )
 |  |  | Total 36-45 yr |  | 69 ( 75 ) | 137 ( 71 )
 |  |  | Total 6-15 yr |  | 15 ( 75 ) | 8 ( 71 )
 | Syphilis prevalence among pregnant women | Percent | ANC settings |  |  |  |  | 0.62 ( 52 )
 |  |  | Total |  |  |  |  |  | 0.6 ( 45 )
 | Tested TB patients who are HIV positive | Percent | Total |  |  |  | 0 ( 70 ) | 0 ( 70 ) | 100 ( 70 )
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