NMICS 2010 Report - Central Bureau of Statistics

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NMICS 2010, Mid- and Far Western RegionsTable HA.3: Knowledge of mother-to-child HIV transmissionPercentage of women aged 15–49 years who correctly identify means of HIV transmission from mother to child, MFWR, Nepal, 2010RegionPercent whoknow HIV canbetransmittedfrom motherto childDuringpregnancyPercent who know HIV can be transmitted:DuringdeliveryBybreastfeedingAll threemeans [1]Percent whodo not knowany of thespecificmeansNo. ofwomen aged15–49 yearsMid-Western 55.7 53.9 49.3 37.1 34.5 4.0 4,036Far Western 47.6 45.7 41.9 37.4 33.4 3.4 3,336SubregionAreaAgeMid-Western Mountains 25.9 25.8 23.3 20.9 19.6 2.3 408Mid-Western Hills 63.2 62.1 58.7 42.5 41.0 4.2 1,998Mid-Western Terai 54.0 50.8 44.4 34.5 30.3 4.3 1,630Far Western Mountains 22.6 22.1 21.5 18.2 17.5 1.0 508Far Western Hills 45.3 43.2 38.3 39.8 34.7 4.0 961Far Western Terai 55.6 53.5 49.3 41.4 37.1 3.8 1,867Urban 67.4 64.1 54.2 45.4 38.0 5.4 848Rural 50.0 48.4 44.9 36.2 33.5 3.5 6,52415–24 years 71.4 69.2 63.7 51.4 47.5 3.3 2,89825+ years 39.4 37.8 34.5 28.1 25.3 4.1 4,474Age (years)15–19 77.3 75.0 70.1 55.5 51.5 2.9 1,51120–24 65.0 63.0 56.7 46.9 43.2 3.7 1,38725–29 53.4 51.5 47.6 37.7 35.1 4.4 1,23530–39 41.9 40.2 36.2 30.3 26.9 4.7 1,85540–49 23.7 22.5 20.3 16.5 14.3 2.9 1,384Marital statusEver married/in union 44.6 43.0 38.9 31.7 28.8 3.8 5,903Never married/in union 81.7 78.9 74.3 59.4 55.2 3.4 1,469EducationNone 28.2 27.1 23.8 20.2 17.8 3.5 4,042Primary 61.8 58.5 55.3 43.4 39.8 4.6 1,036Secondary + 89.6 87.1 80.9 64.6 60.1 3.9 2,291Wealth index quintilePoorest 32.1 31.5 26.9 24.5 22.5 3.2 1,230Second 46.4 45.2 41.8 34.0 31.7 4.4 1,412Middle 46.6 45.4 42.3 33.7 31.8 2.9 1,519Fourth 58.2 56.2 52.5 41.0 37.5 3.4 1,594Richest 71.0 67.4 60.9 49.4 43.4 4.7 1,618Total 52.0 50.2 45.9 37.2 34.0 3.8 7,3724 cases with missing ‘education’ not shown[1] MICS Indicator 9.3Accepting attitudes towards people living with HIV/AIDSIndicators on attitudes towards people living with HIV/AIDS measure stigma and discrimination inthe community. Stigma and discrimination are low if respondents report an accepting attitude forthe following four scenarios: (i) would be willing to care for a family member with the AIDS virus inrespondent’s own home; (ii) would be willing to buy fresh vegetables from a shopkeeper or vendorwho has the AIDS virus; (iii) believes that a female teacher with the AIDS virus who is not sick should172
NMICS 2010, Mid- and Far Western Regionsbe allowed to continue teaching; and (iv) would not want to keep secret that a family member wasinfected with the AIDS virus.Table HA.4 presents information on the accepting attitudes of women aged 15–49 years towardspeople living with HIV/AIDS. Of women who had heard of AIDS in the MFWR, 47 percent agreed withall four accepting attitudes, and 97 percent agreed with at least one. The most common acceptingattitude was willingness to care for a family member with the AIDS virus in own home (84 percent).This was followed by willingness to buy fresh vegetables from a shopkeeper or vendor who has theAIDS virus (79 percent), belief that a female teacher with the AIDS virus who is not sick should beallowed to continue teaching (78 percent), and willingness not to keep secret that a family memberwas infected with the AIDS virus (70 percent). Of women who expressed an accepting attitude to allfour indicators, there was little variation by region or urban/rural area. Subregionally, thepercentage was highest in the Far Western Terai (55 percent) and lowest in the Far Western Hills (34percent). There was variation by age group: young women aged 15–24 (53 percent) were more likelythan those aged 25 years and over (41 percent) to be accepting, and women aged 15–19 years (57percent) were over three times more likely than women aged 40–49 years (39 percent) to beaccepting. Ever married women (43 percent) were less likely than never married women (58percent) to be accepting. Level of education and household wealth status also influenced anaccepting attitude to all four indicators. Women with no education (31 percent) were less likely thanwomen with at least secondary education (59 percent) to be accepting, and women from thepoorest quintile (28 percent) were less likely than women from the richest quintile (57 percent) tobe accepting.173
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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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Cont’d Table RH.2: Unmet need for
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Table RH.7: Assistance during deliv
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Page 121 and 122: VIII.Child DevelopmentEarly childho
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Page 138 and 139: Cont’d Table ED.5: Secondary scho
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
Page 192 and 193: Cont’d Table SW.1: Life satisfact
Page 196 and 197: Appendix A. Sample DesignThe major
Page 204 and 205: Appendix C. Estimates of Sampling E
Page 206 and 207: Table SE.2: Sampling errors: Total
Page 208 and 209: Table SE.3: Sampling errors: Urban
Page 210 and 211: Table SE.4: Sampling errors: Rural
Page 212 and 213: Table SE.5: Sampling errors: Mid-We
Page 218 and 219: Table SE.8: Sampling errors: Far We
Page 220 and 221: 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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