Demographic and Health Survey 2009-10 - Timor-Leste Ministry of ...

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Table 6.7.1 Recent sexual activity: Women Percent distribution of women age 15-49 by timing of last sexual intercourse, according to background characteristics, Timor-Leste 2009-10 Background characteristic 86 | Other Proximate Determinants of Fertility Within the last 4 weeks Timing of last sexual intercourse Within 1 year 1 One or more years Missing Never had sexual intercourse Total Number of women Age 15-19 5.1 2.7 0.7 0.1 91.4 100.0 3,144 20-24 32.7 12.0 4.5 0.2 50.6 100.0 2,343 25-29 58.4 17.6 7.1 0.3 16.6 100.0 1,897 30-34 69.3 16.0 8.0 0.5 6.2 100.0 1,534 35-39 70.0 17.4 7.7 0.0 4.8 100.0 1,684 40-44 70.2 14.5 11.3 0.2 3.9 100.0 1,388 45-49 Marital status 64.5 15.5 17.0 0.3 2.8 100.0 1,146 Never married 0.1 0.2 0.4 0.1 99.1 100.0 4,675 Married or living together Divorced/separated/ 75.5 19.5 4.8 0.3 0.0 100.0 7,906 widowed Marital duration 3.4 11.4 84.9 0.2 0.0 100.0 556 2 0-4 years 67.3 26.5 5.8 0.4 0.0 100.0 1,426 5-9 years 74.2 20.5 5.1 0.1 0.0 100.0 1,605 10-14 years 78.2 17.2 4.1 0.5 0.0 100.0 1,550 15-19 years 80.4 15.6 3.9 0.1 0.0 100.0 1,391 20-24 years 77.0 18.1 4.8 0.1 0.0 100.0 1,043 25+ years 76.4 18.6 4.6 0.4 0.0 100.0 768 Married more than once Residence 77.9 14.6 7.5 0.0 0.0 100.0 123 Urban 47.2 9.6 6.0 0.5 36.6 100.0 3,439 Rural District 45.0 13.2 6.8 0.1 34.8 100.0 9,698 Aileu 45.3 7.7 5.2 0.3 41.5 100.0 554 Ainaro 52.8 8.1 4.2 0.3 34.5 100.0 619 Baucau 53.9 5.4 4.1 0.0 36.6 100.0 1,408 Bobonaro 44.7 13.6 5.2 0.0 36.5 100.0 1,262 Covalima 48.6 10.0 6.8 0.0 34.6 100.0 781 Dili 50.3 7.8 5.0 0.6 36.4 100.0 2,466 Ermera 22.6 27.9 11.3 0.0 38.2 100.0 1,542 Lautem 52.3 9.8 5.9 0.7 31.3 100.0 864 Liquiçá 43.3 11.0 7.7 0.1 37.9 100.0 801 Manatuto 37.6 15.6 8.5 0.1 38.3 100.0 603 Manufahi 54.9 9.9 5.3 0.3 29.6 100.0 470 Oecussi 55.3 11.3 6.5 0.1 26.8 100.0 884 Viqueque Education 39.8 18.1 10.5 0.2 31.4 100.0 882 No education 54.9 17.0 10.5 0.1 17.5 100.0 3,854 Primary 52.5 12.4 8.0 0.4 26.7 100.0 3,005 Secondary 36.3 9.2 3.4 0.2 50.9 100.0 5,829 More than secondary Wealth quintile 41.3 10.6 5.2 0.0 43.0 100.0 449 Lowest 48.4 12.5 8.2 0.1 30.8 100.0 2,314 Second 42.6 14.8 7.7 0.2 34.6 100.0 2,468 Middle 44.4 13.3 6.3 0.2 35.9 100.0 2,590 Fourth 43.8 12.8 5.7 0.1 37.7 100.0 2,687 Highest 48.5 8.9 5.5 0.5 36.6 100.0 3,077 Total 45.6 12.3 6.6 0.2 35.3 100.0 13,137 1 Excludes women who had sexual intercourse within the last 4 weeks 2 Excludes women who are not currently married The proportion of women who were sexually active during the four weeks before the survey increases with age, from 5 percent at age 15-19 to about 70 percent by age 30-44, and decreases to 65 percent at age 45-49. Women who are currently in a union are much more likely to be sexually active in the four weeks preceding the survey than women who were formerly married or who have never been married. Women married for fewer than five years are less likely to be sexually active in the recent past than women married for longer durations. There is little difference in recent sexual activity among women who have been married more than once and women who have been married just once.
Similarly, there is little difference in recent sexual activity among rural and urban women. Recent sexual activity is lowest among women in Ermera (23 percent), with about half as many women sexually active in the last four weeks as women in most other districts. Women who have no education are much more likely than women who have secondary and higher education to be sexually active. By wealth quintile, the percentage of women sexually active is U-shaped, i.e., higher among the women in the lowest and highest wealth quintile. Table 6.7.2 Recent sexual activity: Men Percent distribution of men age 15-49 by timing of last sexual intercourse, according to background characteristics, Timor-Leste 2009-10 Background characteristic Within the last 4 weeks Timing of last sexual intercourse Within 1 year 1 One or more years Missing Never had sexual intercourse Total Number of men Age 15-19 4.8 2.7 2.7 0.0 89.9 100.0 994 20-24 25.0 17.1 13.9 0.0 44.0 100.0 643 25-29 59.3 17.7 7.8 0.3 14.8 100.0 586 30-34 69.2 18.8 6.1 0.0 5.9 100.0 439 35-39 76.1 15.0 5.0 0.0 3.9 100.0 553 40-44 78.7 13.0 5.1 0.9 2.3 100.0 462 45-49 Marital status 78.2 12.0 8.2 0.5 1.1 100.0 400 Never married 11.1 9.4 8.5 0.0 71.0 100.0 1,865 Married or living together Divorced/separated/ 80.7 15.4 3.6 0.4 0.0 100.0 2,158 widowed Marital duration 15.2 14.0 70.7 0.0 0.0 100.0 53 2 0-4 years 74.2 21.6 4.1 0.0 0.0 100.0 429 5-9 years 80.7 15.9 2.5 0.8 0.0 100.0 470 10-14 years 82.7 14.1 2.8 0.4 0.0 100.0 485 15-19 years 83.9 12.3 3.8 0.0 0.0 100.0 406 20-24 years 83.3 13.6 3.1 0.0 0.0 100.0 220 25+ years 77.9 11.2 9.3 1.6 0.0 100.0 124 Married more than once Residence (91.7) (6.0) (2.3) (0.0) (0.0) 100.0 25 Urban 47.4 15.4 6.8 0.7 29.7 100.0 1,102 Rural District 48.2 11.6 6.7 0.0 33.5 100.0 2,974 Aileu 42.8 12.1 15.1 0.0 30.1 100.0 181 Ainaro 43.5 6.6 8.5 0.0 41.4 100.0 217 Baucau 57.7 0.8 1.5 0.0 40.0 100.0 415 Bobonaro 39.0 8.1 1.4 0.0 51.4 100.0 357 Covalima 61.1 12.3 7.5 0.0 19.1 100.0 236 Dili 51.9 16.4 4.7 1.0 26.1 100.0 797 Ermera 27.5 23.2 12.1 0.0 37.2 100.0 491 Lautem 51.0 6.7 5.3 0.0 36.9 100.0 308 Liquiçá 50.0 7.6 15.2 0.0 27.1 100.0 252 Manatuto 69.7 19.3 1.1 0.0 9.9 100.0 190 Manufahi 46.7 7.0 5.9 0.0 40.3 100.0 137 Oecussi 55.2 20.3 4.3 0.0 20.2 100.0 235 Viqueque Education 40.1 14.7 9.9 0.0 35.4 100.0 260 No education 54.7 15.0 6.6 0.0 23.7 100.0 791 Primary 54.0 12.6 5.8 0.4 27.2 100.0 1,046 Secondary 40.2 11.4 6.8 0.1 41.4 100.0 2,009 More than secondary Wealth quintile 65.6 14.7 9.8 0.9 9.0 100.0 230 Lowest 50.7 9.8 5.7 0.0 33.8 100.0 728 Second 44.8 12.7 6.4 0.0 36.0 100.0 781 Middle 47.0 11.7 7.1 0.0 34.2 100.0 786 Fourth 45.3 13.3 9.2 0.7 31.5 100.0 849 Highest 51.8 14.8 5.1 0.2 28.1 100.0 932 Total 15-49 48.0 12.6 6.7 0.2 32.5 100.0 4,076 Note: Figures in parentheses are based on 25-49 unweighted cases. 1 Excludes men who had sexual intercourse within the last 4 weeks 2 Excludes men who are not currently married Other Proximate Determinants of Fertility | 87
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Timor-Leste Demographic and Health
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CONTENTS TABLES AND FIGURES .......
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CHAPTER 7 FERTILITY PREFERENCES 7.1
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14.8 HIV/AIDS-related Knowledge and
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x | Tables and Figures CHAPTER 4 FE
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xii | Tables and Figures Table 11.4
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xiv | Tables and Figures Table 16.4
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FOREWORD The 2009-10 Timor-Leste De
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CONTRIBUTORS TO THE REPORT Elias do
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about three children more than wome
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Postnatal Care. The majority of wom
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However, the level of chronic energ
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MILLENNIUM DEVELOPMENT GOAL INDICAT
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INTRODUCTION 1 1.1 HISTORY, GEOGRAP
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The government of Timor-Leste has l
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1.5 ORGANIZATION OF THE SURVEY The
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1.8 HEMOGLOBIN TESTING In one-third
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In these households, 13,796 women w
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Table 2.1 Household population by a
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The percentage of children not livi
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The Early Childhood Care and Educat
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Table 2.4.2 Educational attainment
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The GAR at the primary school level
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ate (2 percent) than their rural co
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water. Thirty-six percent of househ
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The type of flooring material used
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Table 2.11 Wealth quintiles Percent
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CHARACTERISTICS OF RESPONDENTS 3 Th
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Table 3.2.1 Educational attainment:
Page 67 and 68: Table 3.3.1 Literacy: Women Percent
Page 69 and 70: Table 3.4.1 Exposure to mass media:
Page 71 and 72: Table 3.5.1 Employment status: Wome
Page 73 and 74: 3.4.2 Occupation Respondents who we
Page 75 and 76: 3.4.3 Earnings, Employers, and Cont
Page 77 and 78: Tables 3.8.1 and 3.8.2 show the per
Page 79 and 80: Table 3.9.1 Use of tobacco: Women P
Page 81 and 82: FERTILITY 4 One of the major object
Page 83 and 84: Table 4.2 Fertility by background c
Page 85 and 86: calculated in the 2003 DHS follows
Page 87 and 88: of primary sterility. In Timor-Lest
Page 89 and 90: Table 4.8 Median age at first birth
Page 91 and 92: FAMILY PLANNING 5 In 2002, the Coun
Page 93 and 94: According to the 2003 DHS, knowledg
Page 95 and 96: Table 5.3.1 Ever use of contracepti
Page 97 and 98: Table 5.4 Current use of contracept
Page 99 and 100: Table 5.5 Current use of contracept
Page 101 and 102: Use increases with parity but with
Page 103 and 104: Female and male sterilizations are
Page 105 and 106: Table 5.10 Future use of contracept
Page 107 and 108: Table 5.13 Exposure to family plann
Page 109: Table 5.15 Husband/partner’s know
Page 112 and 113: 6.2 POLYGYNY Polygyny (the practice
Page 114 and 115: 20.9 years. Although the proportion
Page 116 and 117: 84 | Other Proximate Determinants o
Page 120 and 121: There is little difference in the p
Page 122 and 123: 2 percent among women age 30-34 to
Page 124 and 125: 92 | Fertility Preferences Table 7.
Page 126 and 127: 94 | Fertility Preferences 7.3 NEED
Page 128 and 129: 96 | Fertility Preferences an idea
Page 130 and 131: 98 | Fertility Preferences The perc
Page 132 and 133: with their death, or they may live
Page 134 and 135: 100 80 60 40 20 102 | Infant and Ch
Page 136 and 137: 104 | Infant and Child Mortality Ta
Page 138 and 139: 8.7 HIGH-RISK FERTILITY BEHAVIOR Th
Page 141 and 142: ADULT AND MATERNAL MORTALITY 9 The
Page 143 and 144: 9.2 ADULT MORTALITY Table 9.3 Sibsh
Page 145 and 146: MATERNAL HEALTH 10 Making Pregnancy
Page 147 and 148: among women in the lowest wealth qu
Page 149 and 150: A much lower percentage of Timorese
Page 151 and 152: Table 10.5 Knowledge of danger sign
Page 153 and 154: 10.6.2 Assistance during Delivery O
Page 155 and 156: Table 10.8 Knowledge of danger sign
Page 157 and 158: Table 10.10 Application of material
Page 159 and 160: Table 10.12 Timing of first postnat
Page 161 and 162: Where health services are present,
Page 163 and 164: CHILD HEALTH 11 This chapter presen
Page 165 and 166: In the TLDHS, information on vaccin
Page 167 and 168: Boys (54 percent) are somewhat more
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The data indicate that two percent
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11.6 DIARRHEAL DISEASE Dehydration
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Table 11.8 Diarrhea treatment Among
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Ten percent of children with diarrh
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There are marked differences in the
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international reference population
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80 Percent 70 60 50 40 30 20 10 150
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60 50 40 30 20 10 152 | Nutrition o
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Table 12.2 shows the percentages of
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100 Percent 90 80 70 60 50 40 30 20
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Table 12.5 Foods and liquids consum
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Table 12.6 Infant and young child f
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Table 12.7 shows the percentage of
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the most recent distribution preced
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Table 12.10 Nutritional status of w
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Table 12.12 shows data on micronutr
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12.12 PREVALENCE OF ANEMIA IN WOMEN
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MALARIA 13 Malaria remains a leadin
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13.1.2 Use of Mosquito Nets by Chil
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Tables 13.3 and 13.4 show the perce
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The highest prevalence of fever is
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HIV/AIDS-RELATED KNOWLEDGE, ATTITUD
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percent of women and 61 percent of
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person who has AIDS or by sharing c
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Comprehensive knowledge about AIDS
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HIV or AIDS on all four indicators
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Table 14.6 Payment for sexual inter
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14.5 MALE CIRCUMCISION Male circumc
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In the 2009-10 TLDHS, women and men
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100 Percent 80 60 40 20 0 64 Total
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14.8.2 Age at First Sex and Condom
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To assess the extent of condom use
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WOMEN’S EMPOWERMENT AND DEMOGRAPH
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Table 15.2.1 Control over women’s
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Table 15.2.2 Control over men's cas
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Table 15.4.1 Women’s participatio
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Table 15.5.1 Women’s participatio
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15.5 ATTITUDES TOWARD WIFE BEATING
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Table 15.6.2 Attitude toward wife b
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Table 15.7.1 Attitude toward refusi
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Women’s empowerment is closely as
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Table 15.8 Indicators of women’s
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pathways: its negative association
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DOMESTIC VIOLENCE 16 In the words o
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partner] hit, slapped, kicked, or d
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Table 16.1 Experience of physical v
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Among women who have never been mar
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who experienced sexual violence fir
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Domestic violence is not limited to
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Table 16.8 Forms of spousal violenc
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Table 16.9—Continued Emotional vi
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Table 16.10 Spousal violence by hus
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16.14 Physical Violence by Women ag
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16.15 HELP-SEEKING BEHAVIOR OF WOME
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16.17 SOCIAL NORMS AND VALUES The f
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REFERENCES Acharya, M. 2010. Effort
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Ministry of Health (MOH) [Timor-Les
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World Health Organization (WHO), Wo
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256 | Appendix A during the populat
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A.5 SURVEY RESULTS 258 | Appendix A
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ESTIMATES OF SAMPLING ERRORS Append
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Table B.1 List of selected variable
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Table B.3 Sampling errors for Urban
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Table B.5 Sampling errors for Aileu
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Table B.7 Sampling errors for Bauca
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Table B.9 Sampling errors for Coval
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Table B.11 Sampling errors for Erme
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Table B.13 Sampling errors for Liqu
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Table B.15 Sampling errors for Manu
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Table B.17 Sampling errors for Viqu
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282 | Appendix C Table C.2.1 Age di
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284 | Appendix C Table C.5 Reportin
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286 | Appendix C Table C.7 Nutritio
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PERSONS INVOLVED IN THE 2009-10 TIM
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Martinho da Costa Cesaltina Falcao
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QUESTIONNAIRES Appendix E Appendix
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296 | Appendix E Introduction and C
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IF AGE 15 IF AGE 0-17 YEARS IF AGE
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300 | Appendix E HOUSEHOLD CHARACTE
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302 | Appendix E NO. QUESTIONS AND
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306 | Appendix E WEIGHT, HEIGHT AND
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308 | Appendix E WEIGHT, HEIGHT, AN
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310 | Appendix E
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312 | Appendix E INTRODUCTION AND C
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314 | Appendix E SECTION 2. REPRODU
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212 316 | Appendix E 213 214 215 21
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326 | Appendix E LAST BIRTH NEXT-TO
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350 | Appendix E LAST SEXUAL PARTNE
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352 | Appendix E SECTION 7. FERTILI
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356 | Appendix E SECTION 8. HUSBAND
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362 | Appendix E SECTION 10. OTHER
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364 | Appendix E SECTION 11. MATERN
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366 | Appendix E SECTION 12. DOMEST
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372 | Appendix E INSTRUCTIONS: 2 04
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374 | Appendix E INTRODUCTION AND C
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376 | Appendix E SECTION 2. REPRODU
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378 | Appendix E SECTION 3. CONTRAC
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380 | Appendix E 311 Where is that?
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386 | Appendix E SECTION 5. FERTILI
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388 | Appendix E SECTION 6. EMPLOYM
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390 | Appendix E SECTION 7. HIV/AID
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