Palestinian Family Survey 2010 Final Report - Palestinian Central ...

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PCBS: Palestinian Family Survey, 2010Table HH.4: Ever-married women’s background characteristicsPercent and frequency distribution of ever-married women age 15-54 years by selected characteristics,State of Palestine, 2010Background characteristicsWeighted percentNo. of Ever-married womenweighted unweightedGovernorateJenin 6.9 824 827Tubas 1.4 165 190Tulkarm 4.3 512 498Nablus 8.7 1,041 1,052Qalqiliya 2.6 308 351Salfit 1.6 194 193Ramallah and Al-Bireh 7.5 895 775Jericho & Al-Aghwar 1.0 121 130Jerusalem 9.4 1,129 931Bethlehem 5.0 606 610Hebron 14.9 1,786 1,824North Gaza 7.6 911 957Gaza 12.5 1,497 1,515Dier El-Balah 4.8 581 632Khan Yunis 7.2 863 895Rafah 4.8 572 625RegionWest Bank 63.1 7,581 7,381Gaza Strip 36.9 4,424 4,624AreaUrban 73.8 8,854 8,642Rural 16.9 2,023 2,150Camps 9.4 1,128 1,213Age group15-19 2.4 294 32420-24 13.8 1,654 1,47325-29 18.5 2,222 2,05330-34 17.9 2,146 2,13935-39 15.6 1,874 1,98240-44 13.0 1,562 1,67845-49 10.8 1,296 1,37950-54 8.0 957 977Marital statusCurrently married/in union 95.5 11,464 11,455Widowed 2.0 242 240Divorced 2.4 285 296Separated 0.1 14 1413
PCBS: Palestinian Family Survey, 2010Table HH.4: Ever-married Women’s background characteristicsPercent and frequency distribution of ever-married women age 15-54 years by selected characteristics,State of Palestine, 2010Background characteristicsWeighted percentNo. of Ever-married womenweightedunweightedMotherhood statusEver gave birth 92.9 11,147 11,157Never gave birth 7.1 858 848Births in 2 years preceding surveyHad a birth in last two years 37.2 4,471 4,348Had no birth in last two years 62.7 7,532 7,655Missing 0.0 2 2EducationNo education 9.4 1,126 1,202Primary 51.1 6,140 6,197Secondary and above 39.5 4,740 4,606Wealth indexPoorest 18.4 2,212 2,285Second 20.2 2,422 2,471Middle 20.3 2,441 2,474Fourth 20.6 2,477 2,481Richest 20.4 2,455 2,294State of Palestine 100 12,005 12,005Table HH.4 provides background characteristics of ever-married female respondents 15-54 years of age. The tableincludes information on the distribution of women according to geographical region, age, marital status, motherhoodstatus, education 6 and wealth index 7 .The weighted and un-weighted numbers for all background characteristics are nearly similar. Women aged 15-54 yearsare distributed among the following age groups: about 35 percent in the age group 15-29 years, about 34 percent inthe age group 30-39 years and 32 percent in the age group 40-54 years. Ninety six percent of women 15-54 years werecurrently married, two percent were divorced, two percent were widowed and a negligible percent were separated(0.1 percent).To assess their education, women were asked about highest level of school they reached. About nine percent of allwomen never attended any form of education. The majority of women have either primary education (51 percent) orsecondary or higher education (40 percent).Ninety-three percent of those women who were ever married gave birth while seven percent never did. About 37percent of women have given birth within the last two years preceding the survey compared to 63 percent did not givebirth in the past two years.146 Unless otherwise stated, “education” refers to educational level attended by the respondent throughout this report when it is used as a background variable.7 Principal components analysis was performed by using information on the ownership of consumer goods, dwelling characteristics, water and sanitation, andother characteristics that are related to the household’s wealth to assign weights (factor scores) to each of the household assets. Each household was then assigneda wealth score based on these weights and the assets owned by that household. The survey household population was then ranked according to the wealth scoreof the household they are living in, and was finally divided into five parts: 20 percent each quintile. The assets used in these calculations were as follows: source ofmain drinking water, sanitation facility, number of rooms used for sleeping, roof, floor and wall material, fuel type used for cooking, electricity, refrigerator, water,mobile phone, computer/ internet, gas, automatic washing machine. The wealth index is assumed to capture the underlying long-term wealth through informationon the household assets, and is intended to produce a ranking of households by wealth, from poorest to richest. The wealth index does not provide informationon absolute poverty, current income or expenditure levels. The wealth scores calculated are applicable for only the particular data set they are based on. Furtherinformation on the construction of the wealth index can be found in Filmer, D. and Pritchett, L., 2001. “Estimating wealth effects without expenditure data – or tears:An application to educational enrolments in states of India”. Demography 38(1): 115-132. Gwatkin, D.R., Rutstein, S., Johnson, K. , Pande, R. and Wagstaff. A., 2000.Socio-Economic Differences in Health, Nutrition, and Population. HNP/Poverty Thematic Group, Washington, DC: World Bank. Rutstein, S.O. and Johnson, K., 2004.The DHS Wealth Index. DHS Comparative Reports No. 6. Calverton, Maryland: ORC Macro.
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