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

Polygyny also varies by household wealth status. Women and men in households in the lowerwealth quintiles are more likely to have multiple spouses/partners than those in households in thehigher quintiles.Table 3.6 Number of wives and co-wivesPercent distribution of currently married women age 15-49 by number of co-wives and percent distribution of currently marriedmen age 15-49 by number of wives, according to background characteristics, Tanzania HMIS 2007-08BackgroundWomenMencharacteristic 0 1 2+ Missing Total Number 1 2+ Missing Total NumberAge15-19 87.8 8.0 3.4 0.9 100.0 422 * * * 100.0 2420-24 83.7 12.0 3.7 0.6 100.0 1,191 96.6 3.4 0.0 100.0 32225-29 81.2 13.5 4.8 0.5 100.0 1,258 95.0 5.0 0.0 100.0 66930-34 73.7 19.0 6.8 0.5 100.0 1,048 88.8 11.0 0.2 100.0 85035-39 70.2 21.6 7.9 0.2 100.0 946 87.1 12.7 0.2 100.0 75340-44 70.5 21.6 7.6 0.3 100.0 587 83.8 15.9 0.3 100.0 54745-49 68.0 22.6 8.9 0.5 100.0 531 79.5 19.9 0.6 100.0 535ResidenceUrban 87.4 10.0 2.6 0.0 100.0 1,341 95.2 4.4 0.4 100.0 759Rural 73.8 18.6 6.9 0.6 100.0 4,642 86.4 13.4 0.2 100.0 2,941Region/IslandMainland 77.0 16.5 6.0 0.5 100.0 5,814 88.4 11.4 0.2 100.0 3,608Arusha 71.5 14.0 14.5 0.0 100.0 260 96.5 3.5 0.0 100.0 145Dar es Salaam 89.2 8.9 1.8 0.0 100.0 437 96.4 2.9 0.7 100.0 243Dodoma 77.9 20.0 2.1 0.0 100.0 230 91.4 8.6 0.0 100.0 139Iringa 74.3 18.9 6.2 0.6 100.0 251 88.4 10.7 0.9 100.0 148Kagera 79.5 11.8 6.7 2.0 100.0 319 89.8 10.2 0.0 100.0 209Kigoma 80.1 15.8 1.5 2.6 100.0 260 90.1 9.0 0.9 100.0 161Kilimanjaro 94.1 3.7 2.2 0.0 100.0 197 100.0 0.0 0.0 100.0 109Lindi 76.1 15.8 8.2 0.0 100.0 163 85.8 14.2 0.0 100.0 103Manyara 70.9 18.9 10.2 0.0 100.0 186 84.6 15.4 0.0 100.0 112Mara 61.5 23.4 14.4 0.7 100.0 222 79.9 20.1 0.0 100.0 124Mbeya 74.2 20.1 5.4 0.4 100.0 401 83.7 16.3 0.0 100.0 270Morogoro 84.3 8.2 7.5 0.0 100.0 310 94.2 5.8 0.0 100.0 215Mtwara 68.2 22.1 9.2 0.6 100.0 217 88.8 11.2 0.0 100.0 140Mwanza 78.9 17.7 2.9 0.4 100.0 510 87.9 12.1 0.0 100.0 302Pwani 78.1 18.7 3.2 0.0 100.0 120 94.9 5.1 0.0 100.0 60Rukwa 82.9 11.7 4.5 1.0 100.0 221 87.6 12.4 0.0 100.0 161Ruvuma 80.8 14.6 3.7 0.9 100.0 243 91.6 8.4 0.0 100.0 164Shinyanga 69.4 20.3 9.9 0.4 100.0 516 80.3 18.8 0.8 100.0 340Singida 80.8 16.9 2.4 0.0 100.0 135 89.8 10.2 0.0 100.0 77Tabora 67.0 25.9 7.2 0.0 100.0 360 81.8 18.2 0.0 100.0 238Tanga 80.5 16.3 3.2 0.0 100.0 254 88.1 11.9 0.0 100.0 146Zanzibar 71.9 23.6 3.7 0.8 100.0 168 81.9 18.0 0.1 100.0 93Pemba 68.8 26.2 4.8 0.1 100.0 56 82.0 17.7 0.3 100.0 28Unguja 73.4 22.2 3.2 1.1 100.0 112 81.9 18.1 0.0 100.0 65EducationNo education 69.5 21.1 8.9 0.5 100.0 1,509 84.9 15.1 0.0 100.0 525Primary incomplete 72.9 19.0 7.7 0.3 100.0 829 87.2 12.5 0.3 100.0 563Primary complete 80.0 14.9 4.5 0.5 100.0 3,299 88.7 11.1 0.2 100.0 2,250Secondary + 88.5 8.8 2.6 0.2 100.0 346 91.7 7.8 0.5 100.0 363Wealth quintileLowest 72.1 19.2 8.4 0.3 100.0 1,127 84.9 14.9 0.2 100.0 673Second 73.1 19.3 6.9 0.7 100.0 1,198 87.7 11.9 0.4 100.0 813Middle 74.0 19.0 6.3 0.7 100.0 1,165 86.7 13.3 0.0 100.0 733Fourth 75.6 17.7 6.0 0.7 100.0 1,160 88.7 11.1 0.2 100.0 723Highest 87.9 9.3 2.8 0.1 100.0 1,332 92.9 6.9 0.2 100.0 759Total 76.9 16.7 6.0 0.5 100.0 5,983 88.2 11.6 0.2 100.0 3,701Note: An asterisk indicates that an estimate is based on fewer than 25 unweighted cases and has been suppressed.32 | Characteristics of Respondents