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. Author manuscript; available in PMC: 2009 Dec 5.
Published in final edited form as: AIDS. 2008 Mar 30;22(6):741–748. doi: 10.1097/QAD.0b013e3282f3947f

Table 2.

Model-based crude and adjusted HIV prevalence for Tanzanian regions.

Regions Sample size (n) Crude prevalence % (95% CI) Rank Adjusted prevalencea % (95% CI) Rank
Kigoma 410 1.6 (1.0–2.2) 1 1.8 (1.2–2.4) 1
Manyara 407 2.9 (2.3–3.5) 2 2.7 (2.1–3.3) 4
Lindi 327 3.3 (2.7–3.9) 3 4.6 (4.0–5.2) 17
Singida 394 3.5 (2.9–4.1) 4 3.7 (3.1–4.3) 12
Mara 373 3.7 (3.1–4.3) 5 3.1 (2.5–3.7) 7
Kagera 395 3.9 (3.3–4.5) 6 2.6 (2.0–3.2) 3
Dodoma 357 4.8 (4.2–5.4) 7 3.2 (2.6–3.8) 9
Morogoro 344 5.6 (5.0–6.2) 8 2.3 (1.7–2.9) 2
Ruvuma 429 5.6 (5.0–6.2) 9 2.9 (2.3–3.5) 5
Rukwa 416 6.2 (5.6–6.8) 10 4.0 (3.4–4.6) 13
Shinyanga 368 6.6 (6.0–7.2) 11 5.0 (4.4–5.6) 19
Tanga 323 6.7 (6.1–7.3) 12 3.6 (3.0–4.2) 10
Arusha 312 7.0 (6.4–7.6) 13 3.1 (2.4–3.6) 7
Tabora 488 7.1 (6.5–7.7) 14 4.1 (3.5–4.7) 15
Kilimanjaro 271 7.2 (6.6–7.8) 15 3.0 (2.4–3.6) 6
Pwani 360 7.2 (6.6–7.8) 16 4.5 (3.9–5.1) 16
Mwanza 475 7.5 (6.9–8.1) 17 4.6 (4.0–5.2) 17
Mtwara 369 8.1 (7.5–8.7) 18 4.0 (3.4–4.6) 13
Dar es Salaam 543 12.4 (11.8–13.0) 19 3.6 (3.0–4.2) 10
Mbeya 385 14.3 (13.7–14.9) 20 5.9 (5.3–6.5) 20
Iringa 264 15.5 (14.9–16.1) 21 6.7 (6.1–7.3) 21

The adjusted model included age, sex, religion, place of residence, marital status, occupation type, educational attainment, household standard of living index, condom use at last sex, lifetime number of sexual partners, presence of sexually transmitted infection in previous 12 months, alcohol use during last sexual encounter, perception of HIV risk, and previous HIV testing.