Table 1

 Gender and age distribution of injecting drug user samples

CountrySiteAge groupMalesFemalesBoth genders
n%*n%*%**n%*Type of source
Notes: All figures have been rounded up to one decimal or to the first number ≠ 0.
NK, not known; NA, not applicable; IDU %, IDU prevalence among adult population aged 15–64.
*Prevalence of age/gender group (n  =  sample’s gender/age distribution); **Female prevalence in each sample; ***Sites’ codes: Central-A (92), Central-A (402), Central-A (418), Northwest-A (416), Northwest-B (120), etc.
†Source: Breakdowns provided by the “European Centre for the Epidemiological Monitoring of AIDS” from reported HIV cases by transmission route (HIV/AIDS Surveillance in Europe. End-year report 2004. 2005, No 69)
‡Source: Panda S, Saha U, Pahari S, et al. Drug use among the urban poor in Kolkata: Behaviour and environment correlates of low HIV infection. Natl Med J India 2002;15:128–34.
§Source: Pisani E, Dadun, Sucahya PK, et al. Sexual behavior among injection drug users in 3 indonesian cities carries a high potential for HIV spread to non-injectors. JAIDS 2003;34:403–6.
¶Source: Rahbar AR, Khoshonood K, Rooholamini S. Prevalence of HIV infection and other bloodborne infections in incarcerated and non-incarcerated injection drug user (IDUs) in Mashhad, Iran. Int J Drug Policy 2004;15:151–5.
Eastern Europe & Central Asia
AzerbaijanNational<20–2420.9125.0n = 4 (1.7)31.3HIV+ DUs†
25–2952.200.0NANA
20–296026.0375.06326.8
30–3913056.300.0NANA
⩾403414.800.0NANA
All231100.04100.0235100.0
BelarusNational<20–2493431.435841.8n = 855 (22.3)129233.7HIV+ DUs†
25–2947716.011012.958715.3
20–29106735.929334.3136035.5
30–3944815.18710.253514.0
⩾40481.670.8551.4
All2974100.0855100.03829100.0
BulgariaNational⩽20–29360.06100.0n = 6 (54.5)981.8HIV+ DUs†
30–39120.000.0NANA
⩾40120.000.0NANA
All5100.06100.011100.0
CroatiaNational⩽20–24237.700.0n = 6 (1.9)NANAHIV+ DUs†
25–298126.800.08126.3
30–3914247.0583.314747.7
⩾405618.5116.75718.5
All302100.06100.0308100.0
Czech RepNational⩽20–241140.7480.0n = 5 (15.6)1546.9HIV+ DUs†
25–29725.9120.0825.0
30–39622.200.0NANA
40–49311.100.0NANA
All27100.05100.032100.0
EstoniaNational⩽20–29173695.358196.8n = 600 (24.8)231795.7HIV+ DUs†
30–39774.2183.0953.9
40–4980.410.290.4
All1821100.0600100.02421100.0
GeorgiaNational⩽20–24237.700.0n = 4 (1.3)NANAHIV+ DUs†
25–298126.800.0NANA
30–3914247.04100.014647.7
⩾405618.500.0NANA
All302100.04100.0306100.0
HungaryNational⩽20–24111.1266.7n = 3 (25.0)325.0HIV+ DUs†
25–29111.100.0NANA
30–39444.4133.3541.7
⩾40333.300.0NANA
All9100.03100.012100.0
KazakhstanNational⩽20–2922553.65869.0n = 84 (16.7)28356.2HIV+ DUs†
30–3913933.12327.416232.1
⩾405613.333.65911.7
All420100.084100.0504100.0
KyrgyzstanNational⩽20–247526.3850.1n = 16 (5.3)8327.6HIV positiveDUs†
25–297426.0318.87725.6
30–3910235.8318.810534.9
⩾403412.0212.53612.0
All285100.016100.0301100.0
LatviaNational⩽20–2472350.325961.9n = 418 (22.5)98252.8HIV+ DUs†
25–2932222.46916.539121.1
30–3931321.86515.637820.4
⩾40815.7255.91065.7
All1439100.0418100.01857100.0
LithuaniaNational⩽20–2413223.11732.1n = 53 (8.48)14923.9HIV+ DUs†
25–2915927.81324.517227.5
30–3921237.11834.023036.8
⩾406912.159.47411.9
All572100.053100.0625100.0
MoldovaNational⩽20–2414213.03914.0n = 279 (8.48)18113.2HIV+ DUs†
25–29121.141.4161.2
20–2962557.316258.178757.5
30–3926123.96724.032824.0
⩾40504.672.6574.2
All1090100.0279100.01369100.0
PolandNational⩽20–24145739.367960.2n = 1128 (23.9)209444.4HIV+ DUs†
25–29107830.024822.0132628.1
30–3993726.016614.7110323.4
⩾401644.6353.11994.2
All3594100.01128100.04722100.0
RomaniaNational20–29685.71100.0n = 1 (8.0)787.5HIV+ DUs†
30–39114.300.0NANA
All7100.01100.08100.0
RussiaNational⩽20–2463,38861.517 55670.8n = 24,757 (19.4)80 94463.3HIV+ DUs†
25–2923,99823.3449818.228 49622.3
30–3912,68212.322649.114 94611.7
⩾4031053.04391.835442.8
All103,173100.024757100.0127 930100.0
South & South East Asia
Bangladesh11 samples collapsed in one**⩽20–2451714.215.9n = 17 (0.5)51814.1Sentinel surveillance groups
25–2989224.5529.489724.5
30–3475820.8529.476320.8
35–3962517.2211.862717.1
⩾4085223.4423.685623.4
All3644100.017100.03661100.0
IndiaKolkata⩽20–24115.6(Only men)Specific study‡
25–292814.4
30–345528.2
35–395930.3
⩾404221.4
All195100
IndonesiaJakarta⩽20–2414770.0Specific study§
25–294421.0
30–3594.3
>35104.8
All210100.0
IranMashhad (2 samples)⩽20–248526.3Specific study¶
25–297924.4
30–347222.3
35–394915.2
⩾403811.8
All323100.0