NMICS 2010 Report - Central Bureau of Statistics

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NMICS 2010, Mid- and Far Western RegionsTable CD.5: Early Child Development IndexPercentage of children aged 36–59 months who are developmentally on track in literacy–numeracy, physical, socio-emotional and learningdomains, and the Early Child Development Index score, MFWR, Nepal, 2010RegionPercent who are developmentally on track for indicated domainsLiteracy–numeracyPhysicalSocioemotionalLearningEarly ChildDevelopmentIndex score [1]No. of childrenaged 36–59monthsMid-Western 18.8 93.6 67.7 80.7 58.6 857Far Western 16.9 91.6 73.7 74.2 56.7 688SubregionSexAreaAgeMid-Western Mountains 6.0 90.6 64.3 63.8 39.1 132Mid-Western Hills 19.7 95.2 72.5 86.6 66.5 475Mid-Western Terai 23.9 92.2 60.6 78.4 53.8 251Far Western Mountains 10.5 94.9 80.1 79.4 63.3 130Far Western Hills 10.3 85.4 69.4 55.7 40.6 232Far Western Terai 24.0 94.8 74.2 85.3 65.4 326Male 18.0 92.3 69.7 79.3 58.6 820Female 17.8 93.2 71.2 76.2 56.7 726Urban 29.7 89.0 76.8 74.5 64.1 140Rural 16.8 93.1 69.8 78.2 57.1 1,40536–47 months 7.5 89.9 70.1 73.1 50.4 80348–59 months 29.2 95.8 70.8 82.9 65.6 743Preschool attendanceAttending preschool 37.6 97.1 71.5 85.0 69.2 500Not attending preschool 8.5 90.6 69.9 74.4 52.2 1,046Mother’s educationNone 10.7 91.6 70.4 77.8 55.1 1,011Primary 19.5 95.2 67.1 75.1 54.7 216Secondary+ 39.8 94.7 72.9 79.8 68.2 318Wealth index quintilePoorest 7.9 88.8 74.7 76.3 57.4 408Second 11.0 92.6 74.4 74.5 56.8 344Middle 18.7 96.3 64.6 72.9 49.9 306Fourth 23.9 93.8 69.1 82.0 59.8 257Richest 38.5 94.0 66.0 87.2 67.7 230Total 17.9 92.7 70.4 77.8 57.7 1,545[1] MICS Indicator 6.6130
IX.Literacy and EducationLiteracy among young womenThe WFFC and MDGs both have goals on improving adult literacy, with progress being measuredthrough literacy rates and gender gaps. In NMICS 2010, since only a women’s questionnaire wasadministered, the results are only based on females aged 15–24 years. Literacy was assessed eitheron the ability of a woman to read a short, simple statement provided by the interviewer or withschool attendance.Table ED.1 shows the literacy rate for young women aged 15–24 years, based on the women’squestionnaire. Around three quarters (74 percent) of young women in the MFWR were literate, at77 percent for the Mid-Western Region and 71 percent for the Far Western Region. Subregionally, itwas highest in the Mid-Western Hills (84 percent) and lowest in the Mid-Western Mountains (40percent). Urban women (87 percent) were more likely to be literate than rural women (73 percent).Women aged 15–19 years (84 percent) were more likely to be literate than women aged 20–24years (63 percent). Women’s education level and household wealth status both affected thelikelihood of young women being literate. Only six percent of women with no education wereliterate compared to 83 percent with a primary education and 100 percent of women with at least asecondary education. Young women from the richest quintile (90 percent) were almost twice aslikely to be literate as young women from the poorest quintile (49 percent).131
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NepalMonitoring the situationof chi
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Nepal Multiple Indicator Cluster Su
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NMICS 2010, Mid- and Far Western Re
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ForewordIt is my great pleasure to
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Executive SummarySummary of finding
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I. IntroductionBackgroundThis repor
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II.Sample and Survey MethodologySam
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Mid-WesternFar WesternMid-WesternMo
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Age groupNMICS 2010, Mid- and Far W
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IV.NutritionNutritional statusChild
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PercentNMICS 2010, Mid- and Far Wes
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0-12-34-56-78-910-1112-1314-1516-17
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PercentNMICS 2010, Mid- and Far Wes
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Table CH.6: Feeding practices durin
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Cont’d Table CH.7: Oral rehydrati
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Government hospitalPrimary healthca
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Table CH.10: Solid fuel usePercenta
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Cont’d Table CH.12: Anti-malarial
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Page 158 and 159: Table CP.7: Spousal age differenceP
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Table TA.1: Ever and current use of
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XIV. Subjective well-beingIt is wel
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Cont’d Table SW.1: Life satisfact
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Appendix A. Sample DesignThe major
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Appendix C. Estimates of Sampling E
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Table SE.2: Sampling errors: Total
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Table SE.3: Sampling errors: Urban
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Table SE.4: Sampling errors: Rural
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Table SE.5: Sampling errors: Mid-We
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Table SE.8: Sampling errors: Far We
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Table SE.9: Sampling errors: Far We
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Table SE.10: Sampling errors: Far W
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Appendix D. Data Quality TablesTabl
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Appendix E. MICS4 Indicators: Numer
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Appendix F. QuestionnairesNEPAL MUL
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HL1.LinenumberHL2.Name, last nameHL
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EDUCATIONFor household members age
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WATER AND SANITATIONWS1. WHAT IS TH
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WS7D.IS THIS CONTAINER USED ONLY FO
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HC5. Main material of the exterior
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HC10. DO YOU OR SOMEONE LIVING IN T
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CHILD LABOURTo be administered for
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DE-WORMINGTo be administered only f
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CD9. Write the name and line number
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HH19. Record the time.Hour and minu
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Interviewer’s ObservationsField E
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WOMAN’S BACKGROUNDWBWB1. IN WHAT
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DESIRE OF LAST BIRTHDBThe questionn
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MN9. DID YOU RECEIVE ANY TETANUS IN
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MN20. WHEN (name) WAS BORN, WAS HE/
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CONTRACEPTIONCP1. LET'S US TALK ABO
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UN9. Check CP2. Currently using a f
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ATTITUDES TOWARD DOMESTIC VIOLENCED
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HIV/AIDSHA1. NOW I WOULD LIKE TO TA
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HA19. Check MN17: Birth delivered b
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TA11. HAVE YOU CONSUMED ANY SMOKELE
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LS5. HOW SATISFIED ARE YOU WITH YOU
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UF12. Record the time.Hour and minu
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EC6. WITHIN THE LAST SEVEN DAYS, AB
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BREASTFEEDINGBF1. HAS (name) EVER B
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CARE OF ILLNESSCA1. IN THE LAST TWO
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CA9. WAS THE FAST OR DIFFICULT BREA
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ML8. WAS (name) GIVEN ANY MEDICINE
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IM5. HAS (name) BEEN ADMINISTERED A
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Child Grant (only for Humla, Jumla,
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NMICS 2010 Report - Central Bureau of Statistics

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