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Tanzania HIV/AIDS and Malaria Indicator Survey ... - Measure DHS

Tanzania HIV/AIDS and Malaria Indicator Survey ... - Measure DHS

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Table 9.12 <strong>HIV</strong> prevalence among couplesPercent distribution of couples living in the same household, both of whom were tested for <strong>HIV</strong>, by the <strong>HIV</strong> status,according to background characteristics, <strong>Tanzania</strong> HMIS 2007-08Man Woman<strong>HIV</strong> positive, <strong>HIV</strong> positive,BackgroundBoth <strong>HIV</strong> woman man Both <strong>HIV</strong>characteristicpositive <strong>HIV</strong> negative <strong>HIV</strong> negative negative Total NumberWoman’s age15-19 0.0 1.8 3.0 95.3 100.0 25620-29 2.7 3.0 3.1 91.2 100.0 1,38230-39 2.9 4.5 2.9 89.6 100.0 1,04340-49 2.0 3.6 1.1 93.3 100.0 299Man’s age15-19 * * * * 100.0 2120-29 2.2 1.6 3.7 92.6 100.0 81930-39 3.3 5.3 2.5 88.9 100.0 1,29040-49 1.7 2.6 2.3 93.4 100.0 849Age difference between partnersWife older than husb<strong>and</strong> 3.0 4.4 1.3 91.3 100.0 169Husb<strong>and</strong> 0-4 years older than wife 2.6 3.2 2.7 91.5 100.0 1,184Husb<strong>and</strong> 5-9 years older than wife 2.6 3.2 3.1 91.2 100.0 1,125Husb<strong>and</strong> 10-14 years older than wife 1.8 5.4 2.4 90.5 100.0 366Husb<strong>and</strong> 15+ years older than wife 2.5 3.2 4.3 89.9 100.0 136Type of unionMonogamous 2.4 3.3 3.1 91.2 100.0 2,610Polygynous 2.7 4.9 0.9 91.5 100.0 320ResidenceUrban 5.8 4.4 4.2 85.6 100.0 527Rural 1.8 3.3 2.5 92.4 100.0 2,453Mainl<strong>and</strong>/ZanzibarMainl<strong>and</strong> 2.5 3.6 2.9 91.0 100.0 2,905Mainl<strong>and</strong> – Urban 5.9 4.5 4.4 85.1 100.0 507Dar es Salaam City 8.4 5.3 3.6 82.7 100.0 161Other Urban 4.8 4.2 4.8 86.3 100.0 346Mainl<strong>and</strong> – Rural 1.8 3.4 2.6 92.3 100.0 2,398Zanzibar 0.4 0.9 0.5 98.3 100.0 75Region/Isl<strong>and</strong>Arusha 1.1 2.0 0.0 97.0 100.0 115Dar es Salaam 8.6 6.1 3.3 82.1 100.0 174Dodoma 4.1 0.0 0.0 95.9 100.0 112Iringa 6.2 7.8 14.9 71.1 100.0 127Kagera 3.1 1.4 1.4 94.1 100.0 191Kigoma 1.2 0.0 0.7 98.1 100.0 142Kilimanjaro 0.0 1.2 2.6 96.2 100.0 90Lindi 0.0 3.2 4.5 92.3 100.0 88Manyara 0.0 0.7 0.9 98.3 100.0 92Mara 1.9 6.5 1.5 90.0 100.0 103Mbeya 3.5 8.2 3.1 85.2 100.0 217Morogoro 2.5 1.3 0.8 95.3 100.0 164Mtwara 1.4 1.2 1.1 96.3 100.0 112Mwanza 3.3 4.0 4.8 87.9 100.0 235Pwani 0.0 2.1 5.3 92.6 100.0 39Rukwa 1.1 2.8 1.3 94.8 100.0 130Ruvuma 1.7 5.2 4.9 88.2 100.0 148Shinyanga 1.2 4.5 3.5 90.8 100.0 275Singida 0.9 3.4 0.0 95.7 100.0 67Tabora 2.9 4.3 1.5 91.2 100.0 173Tanga 1.2 1.7 2.5 94.5 100.0 111Pemba 0.0 0.3 0.0 99.7 100.0 24Unguja 0.5 1.2 0.7 97.6 100.0 52ZoneWestern 1.7 3.4 2.2 92.7 100.0 590Northern 0.6 1.5 1.5 96.4 100.0 408Central 2.9 1.3 0.0 95.8 100.0 178Southern Highl<strong>and</strong>s 3.6 6.6 5.7 84.1 100.0 475Lake 3.0 3.6 2.9 90.6 100.0 529Eastern 5.1 3.6 2.4 88.9 100.0 376Southern 1.2 3.4 3.6 91.8 100.0 349Zanzibar 0.4 0.9 0.5 98.3 100.0 75Woman’s educationNo education 1.7 2.4 1.8 94.0 100.0 669Primary 2.5 4.0 3.1 90.5 100.0 2,155Secondary 5.3 1.8 3.9 89.0 100.0 133More than secondary * * * * 100.0 23Man’s educationNo education 1.7 4.6 2.9 90.8 100.0 399Primary 2.5 3.0 2.8 91.7 100.0 2,321Secondary 2.3 6.7 1.8 89.2 100.0 195More than secondary 7.3 3.6 6.8 82.3 100.0 65Wealth quintileLowest 1.4 3.6 2.7 92.2 100.0 576Second 1.4 2.5 3.6 92.5 100.0 669Middle 2.1 2.3 1.3 94.4 100.0 610Fourth 2.1 4.9 2.1 90.8 100.0 590Highest 5.8 4.4 4.4 85.3 100.0 535Total 2.5 3.5 2.8 91.2 100.0 2,980Note: <strong>HIV</strong> positive refers to individuals who have <strong>HIV</strong>-1. Table based on couples for which a valid test result (positiveor negative) is available for both partners. Total includes 51 couples for whom type of union is missing. An asteriskindicates a figure based on fewer than 25 unweighted cases that has been suppressed.126 | <strong>HIV</strong> Prevalence

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