NMICS 2010 Report - Central Bureau of Statistics

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NMICS 2010, Mid- and Far Western RegionsTable CP.3 presents the percentage of children aged 5–14 years involved in child labour who wereattending school and the percentage of children aged 5–14 years attending school who wereinvolved in child labour. Of the 44 percent of children in the MFWR who were involved in childlabour, over nine out of 10 (94 percent) were also attending school. There was little variation byregion, gender, urban/rural area or age group. Subregionally, the highest percentage was in the FarWestern Terai (96 percent) and the lowest was in the Mid-Western Mountains and Far WesternMountains (both 90 percent). Mother’s education and household wealth quintile affected thelikelihood of a child being involved in child labour and also attending school. Children whose motherhad no education (93 percent) were more likely than children whose mother had primary education(97 percent) or at least secondary education (99 percent) to be involved in child labour and alsoattending school. Children from the poorest quintile (87 percent) were less likely than children fromother quintiles to be involved in child labour and also attending school, with children from therichest quintile (99 percent) being the most likely.Of the 91 percent of children aged 5–14 years attending school in the MFWR, 46 percent were alsoinvolved in child labour. There was little variation by region or gender. Subregionally, the percentagewas highest in the Mid-Western Mountains (55 percent) and lowest in the Far Western Terai (36percent). Urban children (32 percent) who were attending school were less likely to be also involvedin child labour than their rural counterparts (47 percent). Younger children who were attendingschool (54 percent) were more likely than older children attending school (29 percent) to be alsoinvolved in child labour. The likelihood of attending school and being involved in child labour wasinfluenced by mother’s education level and household wealth status. Some 49 percent of childrenattending school whose mother had no education were also involved in child labour compared to 40percent of children whose mother had primary education and 31 percent of children whose motherhad at least secondary education. Some 53 percent of children attending school from the poorestquintile were also involved in child labour compared to 30 percent of children attending school fromthe richest quintile.148
NMICS 2010, Mid- and Far Western RegionsTable CP.3: Child labour and school attendancePercentage of children aged 5–14 years involved in child labour who are attending school, and percentage of children aged 5–14 yearsattending school who are involved in child labour, MFWR, Nepal, 2010RegionPercent ofchildreninvolved inchild labourPercent ofchildrenattendingschoolNo. ofchildren aged5–14 yearsPercent ofchildlabourerswho areattendingschool[1]No. ofchildren aged5–14 yearsinvolved inchild labourPercent ofchildrenattendingschool whoare involvedin childlabour[2]No. ofchildren aged5–14 yearsattendingschoolMid-Western 45.5 91.2 4,888 93.8 2,225 46.8 4,457Far Western 42.9 90.7 3,993 93.7 1,713 44.3 3,620SubregionSexAreaAgeMid-Western Mountains 50.9 86.1 627 89.8 319 53.1 540Mid-Western Hills 49.4 92.2 2,556 94.8 1,264 50.8 2,358Mid-Western Terai 37.7 91.5 1,704 93.9 642 38.7 1,559Far Western Mountains 53.2 86.7 757 89.8 403 55.1 657Far Western Hills 47.3 88.1 1,413 94.1 668 50.5 1,245Far Western Terai 35.2 94.3 1,823 95.6 642 35.7 1,718Male 40.7 92.1 4,401 95.5 1,792 42.2 4,052Female 47.9 89.8 4,480 92.3 2,145 49.2 4,025Urban 31.4 94.3 843 97.0 264 32.3 795Rural 45.7 90.6 8,038 93.5 3,673 47.2 7,2825–11 years 51.0 89.5 6,099 94.4 3,109 53.7 5,46012–14 years 29.8 94.1 2,782 91.4 829 29.0 2,617Mother’s educationNone 47.0 89.8 7,022 92.9 3,302 48.7 6,303Primary 38.0 92.2 897 97.3 341 40.1 828Secondary + 30.8 98.5 952 99.2 293 31.0 938Wealth index quintilePoorest 49.6 82.0 2,127 87.4 1,056 52.9 1,745Second 52.5 89.8 1,924 94.2 1,010 55.1 1,728Middle 45.8 92.8 1,814 96.2 830 47.4 1,683Fourth 38.4 95.4 1,605 97.0 617 39.1 1,531Richest 30.1 98.6 1,411 99.1 425 30.3 1,391Total 44.3 90.9 8,881 93.8 3,938 45.7 8,077[1] MICS Indicator 8.3[2] MICS Indicator 8.4Six cases with missing ‘mother’s education’ not shownChild disciplineAs stated in WFFC, ‘children must be protected against any acts of violence …’ and the MillenniumDeclaration calls for the protection of children from abuse, exploitation and violence. In NMICS2010, mothers/caretakers of children aged 2–14 years were asked a series of questions on the waysparents tend to discipline their children when they misbehave. Note that for the child disciplinemodule, one child aged 2–14 per household was selected randomly during fieldwork. Two indicatorsare used to describe aspects of child discipline: (ii) the proportion of children aged 2–14 years whoexperience psychological aggression as punishment or minor physical punishment or severe physical149
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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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Table WS.1: Use of improved water s
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Table WS.2: Household water treatme
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Page 97 and 98: NMICS 2010, Mid- and Far Western Re
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Page 121 and 122: VIII.Child DevelopmentEarly childho
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Page 140 and 141: Table ED.7: School attendancePercen
Page 146 and 147: Table CP.2: Child labourPercentage
Page 154 and 155: Cont’d Table CP.5: Early marriage
Page 156 and 157: Table CP.6: Trends in early marriag
Page 158 and 159: Table CP.7: Spousal age differenceP
Page 170 and 171: Cont’d Table HA.2: Knowledge abou
Page 184 and 185: Table TA.1: Ever and current use of
Page 190 and 191: XIV. Subjective well-beingIt is wel
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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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