Kenya

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head and by household size is presented in Table 2.7. The majority of households in Kenya are headed by men (64 percent), and 36 percent are headed by women. The mean household size is 3.6 persons; this is higher in rural areas (4.1 persons) than in urban areas (3.0 persons). Table 2.7 Household composition Percent distribution of households by sex and age of head of household and by household size and mean size of household, according to residence, Kenya 2015 Residence Characteristic Urban Rural Total Household headship Male 66.1 62.4 63.9 Female 33.9 37.6 36.1 Total 100.0 100.0 100.0 Age of household head Less than 20 1.1 1.0 1.1 20-29 28.4 16.1 21.2 30-39 31.0 25.5 27.8 40-49 17.3 18.2 17.8 50-59 11.8 16.0 14.3 60-69 5.3 12.5 9.5 70 or over 3.9 9.6 7.2 Don’t know 1.3 0.9 1.1 Total 100.0 100.0 100.0 Number of usual members 0 0.1 0.1 0.1 1 31.3 14.8 21.6 2 17.5 11.9 14.2 3 16.3 17.2 16.8 4 14.7 16.2 15.6 5 9.2 14.3 12.2 6 5.4 10.9 8.6 7 2.7 6.9 5.1 8 1.2 4.2 2.9 9+ 1.7 3.6 2.8 Total 100.0 100.0 100.0 Mean size of households 3.0 4.1 3.6 Number of households 2,673 3,808 6,481 Note: Table is based on de jure household members, i.e., usual residents. 2.6 CHARACTERISTICS OF WOMEN RESPONDENTS This section provides a demographic and socio-economic profile of female respondents in the 2015 KMIS. The information is essential for interpretation of the findings presented later in the report and provides an indication of the representativeness of the survey. Table 2.8 presents the percent distribution of women age 15-49 by selected background characteristics. The distribution of women tends to decline with increasing age, reflecting the comparatively young age structure of the Kenyan population. Fifty-six percent of the women interviewed are between age 15 and age 29. A majority of women are Protestant (69 percent), 22 percent are Roman Catholic, and 6 percent are Muslim. Sixty percent of women reside in rural areas, and 40 percent live in urban areas. Forty-six percent of women live in the malaria-prone highland epidemic, lake endemic, or coast endemic zones. Thirty-one percent of women completed secondary school or higher, while around half have only primary education (46 percent). Eight percent of women have never been to school. Almost 9 in 10 women are literate (87 percent). About one-quarter of women (27 percent) live in households in the highest wealth quintile. The percentages of women in the lower quintiles are more evenly distributed between 16 and 21 percent. 24 • Characteristics of Households and Women
Table 2.8 Background characteristics of respondents Percent distribution of women age 15-49 by selected background characteristics, Kenya 2015 Women Weighted number Background characteristic Weighted percent Unweighted number Age 15-19 17.7 953 1,000 20-24 18.8 1,015 1,001 25-29 19.4 1,047 1,048 30-34 16.4 887 854 35-39 13.1 705 681 40-44 8.9 482 497 45-49 5.7 305 313 Religion Roman Catholic 22.0 1,185 1,072 Protestant/other Christian 69.3 3,736 3,486 Muslim 6.4 348 674 No religion 1.8 95 124 Other 0.6 31 38 Residence Urban 40.4 2,178 2,478 Rural 59.6 3,216 2,916 Malaria endemicity Highland epidemic 19.3 1,042 1,210 Lake endemic 19.2 1,038 1,000 Coast endemic 7.0 379 755 Semi-arid, seasonal 17.4 940 1,161 Low risk 37.0 1,995 1,268 Education No education 7.8 419 690 Primary incomplete 12.5 672 712 Primary complete 33.6 1,812 1,832 Secondary incomplete 15.4 831 785 Secondary complete 15.7 849 768 Higher 15.0 811 607 Literacy Literacy 1 87.4 4,712 4,467 Illiterate 12.5 674 919 Blind/visually impaired 0.1 8 8 Wealth quintile Lowest 15.8 855 1,161 Second 18.0 969 1,013 Middle 18.5 1,000 1,008 Fourth 21.1 1,141 1,040 Highest 26.5 1,430 1,172 Total 15-49 100.0 5,394 5,394 1 Refers to women who attended higher than secondary school and women who can read a whole sentence or part of a sentence Characteristics of Households and Women • 25
Page 1: REPUBLIC OF KENYA MINISTRY OF HEALT
Page 4 and 5: The 2015 Kenya Malaria Indicator Su
Page 6 and 7: 3.2 Use of Mosquito Nets ..........
Page 8 and 9: Table 5.4 Attitudes towards treatme
Page 11: Acknowledgements • ix
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Page 19 and 20: 1 INTRODUCTION 1.1 HISTORY, GEOGRAP
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Table 6.4 Prevalence of anaemia Per
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Although malaria prevalence in the
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MEASURE Evaluation, Roll Back Malar
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Table A.1 Enumeration areas and hou
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A.4 SAMPLE PROBABILITIES AND SAMPLE
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APPENDIX B ESTIMATES OF SAMPLING ER
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Table B.1 List of selected variable
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Table B.7 Sampling errors: Coast en
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Table C.2 Age distribution of eligi
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Table D.2 Prevalence of malaria in
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Table D.4 Prevalence of anaemia in
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Table D.6 Comparison of malaria and
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APPENDIX E SURVEY PERSONNEL NATIONA
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LOGISTICIAN Robert Mwaura FIELD TEA
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ICF INTERNATIONAL Sara K. Head Joy
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MALARIA CONTROL UNIT KENYA NATIONAL
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INTRODUCTION AND CONSENT ADMINISTER
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HOUSEHOLD SCHEDULE LINE NO. USUAL R
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HOUSEHOLD CHARACTERISTICS NO. QUEST
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MOSQUITO NET ROSTER NET #1 NET #2 N
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SOURCE AND USES OF MOSQUITO NETS NO
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SOURCE AND USES OF MOSQUITO NETS NO
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INTERVIEWER'S OBSERVATIONS TO BE FI
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SECTION 1. RESPONDENT'S BACKGROUND
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SECTION 2. REPRODUCTION 212 Now I'd
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SECTION 3. PREGNANCY AND INTERMITTE
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LAST BIRTH NEXT-TO-LAST BIRTH SECON
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LAST BIRTH NEXT-TO-LAST BIRTH SECON
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SECTION 4A. KNOWLEDGE AND ATTITUDES
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CHILD 1 CHILD 2 CHILD 3 NAME NAME N
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HEMOGLOBIN MEASUREMENT AND MALARIA
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CHILD 4 CHILD 5 CHILD 6 121 122 123
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