Central zone (56 percent) has the highest proportion of male in-migrants of all of the zones of the country.Among the regions, nearly two-fifths of male in-migrants live in the Capital region of the country,whereas only 2 percent of male in-migrants live in the Central Highland region of the country. Of note isthat over two-fifths (42 percent) of male in-migrants are in the highest wealth quintile. There is littledifference in the percent distribution of male in-migrants by remoteness quintile.It is interesting to note that there are more adult male than female out-migrants but many moreadult female in-migrants. The data also show that among female in-migrants, more than two-thirds (70percent) changed residence during their early reproductive years, that is, at age 15-29. Female in-migrantswere most often in rural areas (64 percent) and the Central zone (47 percent). Among the regions of thecountry, over one-quarter (28 percent) of female in-migrants were found in the Capital region, whereasonly 3 percent of female in-migrants were in the Central Highland region of the country. In addition,nearly one-third (31 percent) of female in-migrants are in the highest wealth quintile. In contrast, only 13percent of female in-migrants are in the lowest wealth quintile. Nearly one in four female in-migrants is inthe second most remote quintile, with in-migrants least likely to be in the least remote quintile.Table 2.11 Household in-migrants by background characteristicsPercent distribution of in-migrants age 15 years and older to households in the five years preceding the survey,according to background characteristics, by sex, <strong>Afghanistan</strong> <strong>2010</strong>SexBackgroundFemale Male Totalcharacteristic Percent Number Percent Number Percent NumberAge at time of migration15-19 42.4 3,715 18.6 955 33.6 4,67020-24 19.5 1,709 15.0 768 17.8 2,47725-29 8.5 747 13.1 674 10.2 1,42130-34 5.1 446 10.2 521 7.0 96735-39 4.3 377 8.9 455 6.0 83340-44 2.9 256 6.4 327 4.2 58345-49 2.2 197 5.9 301 3.6 49850 8.3 729 14.4 736 10.5 1,465Don’t know/missing 6.8 594 7.6 389 7.1 983ResidenceUrban 36.1 3,164 52.9 2,711 42.3 5,875Rural 63.9 5,605 47.1 2,415 57.7 8,021ZoneNorth 24.1 2,115 20.7 1,059 22.8 3,174Central 46.5 4,079 56.4 2,891 50.2 6,970South 29.4 2,575 22.9 1,176 27.0 3,751RegionNorth Eastern 10.3 899 7.0 357 9.0 1,256Northern 13.9 1,216 13.7 702 13.8 1,918Western 15.1 1,327 13.7 704 14.6 2,031Central Highland 2.9 257 2.4 124 2.7 381Capital 28.4 2,494 40.3 2,063 32.8 4,558Eastern 13.1 1,147 13.1 669 13.1 1,816Southern 6.0 524 4.4 227 5.4 750South Eastern 10.3 905 5.5 280 8.5 1,184Wealth quintileLowest 13.3 1,170 10.3 526 12.2 1,695Second 18.0 1,575 12.7 650 16.0 2,225Middle 17.9 1,574 15.8 808 17.1 2,382Fourth 19.5 1,710 19.3 988 19.4 2,699Highest 31.2 2,740 42.0 2,154 35.2 4,895Remoteness quintileMost remote 22.7 1,991 19.6 1,005 21.6 2,996Second 24.7 2,166 19.9 1,022 22.9 3,188Middle 20.9 1,830 21.9 1,125 21.3 2,955Fourth 17.4 1,527 19.9 1,023 18.3 2,549Least remote 14.3 1,256 18.5 951 15.9 2,206Total 100.0 8,769 100.0 5,126 100.0 13,89532 | Household Population, Household and Women’s Characteristics
2.8 CHARACTERISTICS OF FEMALE RESPONDENTSThis section of the chapter describes the demographic and socioeconomic profile of femalerespondents interviewed in the AMS <strong>2010</strong> with the individual Woman’s Questionnaire. This informationis useful for interpreting the survey findings and understanding results presented later in the report andserves as an indication of the representativeness of the survey. The survey collected basic information onwomen’s age, level of education, marital status, and place of residence.The AMS <strong>2010</strong> gathered information from all women age 12-49 years. A description of thebackground characteristics of the 47,848 women age 12-49 who were interviewed during the survey,appears in Table 2.12.Table 2.12 Background characteristics of respondentsPercent distribution of women age 12-49 by selected backgroundcharacteristics, <strong>Afghanistan</strong> <strong>2010</strong>BackgroundcharacteristicWeightedpercent Weighted UnweightedAge12-14 17.5 8,382 8,27915-19 24.0 11,496 11,33320-24 16.6 7,952 8,03925-29 12.3 5,901 6,02530-34 8.8 4,189 4,22835-39 8.6 4,109 4,13640-44 6.7 3,198 3,19645-49 5.5 2,620 2,612Marital statusNever married 44.6 21,357 21,289Married 53.9 25,783 25,842Divorced/separated 0.1 47 50Widowed 1.4 662 667ResidenceUrban 20.3 9,696 14,936Rural 79.7 38,152 32,912ZoneNorth 29.7 14,214 14,960Central 35.6 17,034 14,902South 34.7 16,599 17,986RegionNorth Eastern 14.2 6,776 7,351Northern 15.5 7,438 7,609Western 12.5 5,990 5,125Central Highland 3.4 1,647 908Capital 19.6 9,397 8,869Eastern 17.5 8,389 7,681Southern 7.3 3,504 5,020South Eastern 9.8 4,706 5,285EducationNo education 76.2 36,477 35,096Madrassa 1.2 590 561Primary 11.8 5,626 5,997Secondary 9.6 4,589 5,429Higher 1.2 567 765Total 12-49 100.0 47,848 47,848Seven in ten women (70 percent) are under age 30. In general, the proportion of women in eachage group decreases as age increases, reflecting the comparatively youthful age structure of the populationin <strong>Afghanistan</strong> as a result of high fertility and mortality levels in the past.Household Population, Household and Women’s Characteristics | 33
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AfghanistanMortality Survey 2010
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Figure 4.6 Reasons for Not Seeking
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Table 4.12 presents information on
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Table 4.13 Problems in accessing he
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INFANT AND CHILD MORTALITY 5Early c
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first seven days of life, to estima
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In considering the mortality trends
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data was found in Afghanistan exclu
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Central zone and 32 percent in the
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Table 5.4 Early childhood mortality
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The patterns of perinatal mortality
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problem for areas outside the South
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information was usually reported by
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fallen from 118 deaths to 71 deaths
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Table 6.4 shows adult mortality rat
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mortality levels. The procedures us
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Table 6.6 Female and male life tabl
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Table 6.7 Mean sibship size and sex
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6.4.2 Household ReportingIn the Hou
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The unexpectedly low crude death ra
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Figure 6.8.2 Estimates of Female Ad
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The third panel estimates life expe
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Maternal mortality in Afghanistan i
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other words, about two in five deat
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It is useful to compare the seven-y
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50PercentFigure 7.1Timing of Pregna
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ased on the sibling history (270).
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The VA interview started by checkin
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Figure 8.1 Causes of Female and Mal
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Table 8.4 Causes of deaths among ch
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Global Agricultural Information Net
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Streatfield, P.K., S.E. Arifeen, A.
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• The Cluster Level Questionnaire
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A.3 STRUCTURE OF THE SAMPLE AND THE
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ased on sampling probabilities sepa
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ESTIMATES OF SAMPLING ERRORSAppendi
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For the total sample, the value of
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Table B.3 Sampling errors for Urban
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Table B.5 Sampling errors for North
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Table B.7 Sampling errors for South
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Table B.9 Sampling errors for North
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Table B.11 Sampling errors for Cent
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Table B.13 Sampling errors for East
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Table B.15 Sampling errors for Sout
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Table C.2 Myers’ Blended IndexPre
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Table C.5 Births by calendar years
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Table C.6 Reporting of age at death
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Table C.9 Sex ratio of live birthsS
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mother and the household. The morta
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The estimated infant mortality rate
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D.3.1 Evidence of Underreporting of
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Given the apparent omission of livi
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totally consistent with the estimat
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Perhaps a more sensitive indicator
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Figure D.6 Neonatal and Postneonata
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PERSONS INVOLVED IN AMS 2010Appendi
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Office EditorsMaleMohammad NaseemFe
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AshiqullahAssadullah JavedAtiqullah
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QUESTIONNAIRESAppendix FAppendix F
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Introduction and ConsentHello. My n
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SECTION 2. MIGRATION FROM HOUSEHOLD
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SECTION 4. INPATIENT HEALTH EXPENDI
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SECTION 5. OUTPATIENT HEALTH EXPEND
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SECTION 6. HOUSEHOLD CHARACTERISTIC
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NO. QUESTIONS AND FILTERS CODING CA
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Introduction and ConsentHello. My n
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SECTION 2. MARITAL STATUSNO.201QUES
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Now I would like to record the name
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SECTION 4. ANTENATAL, DELIVERY AND
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NO. QUESTIONS AND FILTERS CODING CA
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NO. QUESTIONS AND FILTERS CODING CA
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NO. QUESTIONS AND FILTERS CODING CA
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SECTION 6. MATERNAL MORTALITYNO. QU
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COMMENTS ABOUT RESPONDENT:INTERVIEW
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Introduction and ConsentHello. My n
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DEATH OF A CHILD AGED 0-28 DAYSSECT
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SECTION 6. DELIVERY HISTORYNO. QUES
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NO. QUESTIONS AND FILTERS CODING CA
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NO. QUESTIONS AND FILTERS CODING CA
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DEATH OF A CHILD AGED 0-28 DAYSSECT
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DEATH OF A CHILD AGED 0-28 DAYSSECT
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AFGHANISTAN MORTALITY SURVEYVERBAL
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DEATH OF A CHILD AGED 29 DAYS TO 11
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DEATH OF A CHILD AGED 29 DAYS TO 11
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DEATH OF A CHILD AGED 29 DAYS TO 11
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DEATH OF A CHILD AGED 29 DAYS TO 11
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DEATH OF A CHILD AGED 29 DAYS TO 11
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DEATH OF A CHILD AGED 29 DAYS TO 11
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DEATH OF A CHILD AGED 29 DAYS TO 14
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Introduction and ConsentHello. My n
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401 Could you tell me about the ill
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DEATH OF A PERSON AGED 12 YEARS AND
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DEATH OF A PERSON AGED 12 YEARS AND
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DEATH OF A PERSON AGED 12 YEARS AND
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DEATH OF A PERSON AGED 12 YEARS AND
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DEATH OF A PERSON AGED 12 YEARS AND
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NO. QUESTIONS AND FILTERS CODING CA
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DEATH OF A PERSON AGED 12 YEARS AND
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DEATH OF A PERSON AGED 12 YEARS AND