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Census Analytical Report - Uganda Bureau of Statistics

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The 2002 Population and Housing <strong>Census</strong>Table 5.3: Selected Marriage Indicators by Socio-economic CharacteristicsCharacteristics <strong>of</strong>Percent who areCurrently Married *SMAM*Percent Ever Married(60 Years and Over)Population Male Female Male Female Male FemaleResidenceUrban 56.8 62.6 26.1 21.8 89.7 90.4Rural 48.0 48.4 23.6 19.7 94.3 96.7EducationalAttainmentNo Education 64.3 66.4 22.9 18.2 93.3 97.0Primary 55.5 62.3 23.1 19.4 94.6 94.9Secondary 47.4 44.4 25.4 22.1 95.0 88.7Post Secondary 63.0 51.1 27.5 24.9 93.4 83.9ReligionChurch <strong>of</strong> <strong>Uganda</strong> 55.4 60.3 24.2 20.2 95.0 96.7Catholics 55.6 60.7 23.9 20.1 93.4 96.2Moslems 55.6 62.5 24.0 19.5 94.9 94.9Others 55.6 59.4 24.3 20.6 91.5 95.5<strong>Uganda</strong> 55.5 60.6 24.1 19.9 94.1 96.2* For persons aged 15 years and over5.2 FertilityFertility indicators measure the frequency <strong>of</strong> childbirth in a given population. Suchmeasures can tell how fast the population <strong>of</strong> a given country or region would increase.This information has implications on the country’s ability to create a developmentinfrastructure. High fertility coupled with low or declining mortality will lead to a fastgrowing population.The 2002 <strong>Census</strong> collected data to generate both direct and indirect measures <strong>of</strong>fertility. The direct measures were computed from data on the birth to women in thereproductive age (15-49 years) that took place in the 12 months preceding the census.While this would be the best source <strong>of</strong> fertility information, there is a tendency forwomen to underreport these births which leads to an underestimation <strong>of</strong> fertilitylevels 3 . Consequently, indirect methods were used to check on the quality <strong>of</strong>reporting.3 United Nations, Manual X Indirect Techniques for Demographic Estimation 198344

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