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

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256 | Appendix A during the population census were used to relocate the selected households in the field during data collection. Table A.1 shows the sample allocation of clusters/EAs and households according to district and by type of residence. The final allocation was an equal size allocation of 34 EAs for each of the twelve districts except Dili district; a larger sample size of 47 EAs was allocated to Dili district. Dili district received a higher number of EAs in order to get adequate representation of the urban population of the country. In total, there were 116 urban clusters and 339 rural clusters selected in the TLDHS 2009-10 sample. Table A.2 below shows the sample allocation of expected number completed women and men interviews by district and by type of residence. Table A.1 Sample allocation of clusters and households according to district and by type of residence, Timor-Leste 2009-10 Allocation of EA Allocation of households District Urban Rural Total Urban Rural Total Aileu 2 32 34 54 864 918 Ainaro 8 26 34 216 702 918 Baucau 5 29 34 135 783 918 Bobonaro 8 26 34 216 702 918 Covalima 8 26 34 216 702 918 Dili 40 7 47 1,080 189 1 269 Ermera 6 28 34 162 756 918 Liquica 5 29 34 135 783 918 Lautem 11 23 34 297 621 918 Manufahi 8 26 34 216 702 918 Manatuto 2 32 34 54 864 918 Oecussi 9 25 34 243 675 918 Viqueque 4 30 34 108 810 918 Timor-Leste 116 339 455 3,132 9,153 12,285 Note: The sample allocation has taken into account the reform of the urban EAs in Covalima and Manatuto districts. Table A.2 Sample allocation of expected number of completed women and men interviews according to district and by type of residence, Timor-Leste 2009-10 Women 15-49 Men 15-49 (subsample) District Urban Rural Total Urban Rural Total Aileu 52 834 886 17 272 289 Ainaro 209 678 887 68 222 290 Baucau 131 756 887 43 247 290 Bobonaro 209 678 887 68 222 290 Covalima 209 678 887 68 222 290 Dili 1,042 182 1,224 341 60 401 Ermera 157 729 886 51 238 289 Liquica 131 756 887 43 247 290 Lautem 286 599 885 94 196 290 Manufahi 209 678 887 68 222 290 Manatuto 52 834 886 17 272 289 Oecussi 235 652 887 76 212 288 Viqueque 104 782 886 34 255 289 Timor-Leste 3,026 8,836 11,862 988 2,887 3,875 The above sample allocation on expected number of interviews was calculated based on the facts obtained from the TLDHS 2003 and the TLPHC 2004: there were 1.07 women and men aged 15-49 per household. The numbers in Table A.2 assume a female response rate of 97 percent, a male response rate of 95 percent; and a household response rate of 93 percent in both urban and rural areas.
A.4 SAMPLING PROBABILITY AND SAMPLING WEIGHTS Because of the non-proportional allocation of the sample to the different districts and to their urban-rural areas, sampling weights will be required for any analysis using TLDHS 2009-10 data to ensure the actual representativeness of the sample at the national level as well as district level. Since the TLDHS 2009 sample is a two-stage stratified cluster sample, sampling weights were calculated based on sampling probabilities separately for each sampling stage and for each cluster. We use the following notations: P1hi: first-stage sampling probability of the i th cluster in stratum h P2hi: second -stage sampling probability within the i th cluster (households) Let ah be the number of clusters selected in stratum h, Mhi the number of households according to the sampling frame in the i th cluster, and ∑ M hi the total number of households in the stratum h. The probability of selecting the i th cluster in the TLDHS sample is calculated as follows: ah M ∑ M Let b hi be the proportion of households in the selected segment compared to the total number of households in the EA i in stratum h if the EA is segmented, otherwiseb hi = 1. Then the probability of selecting cluster i in the sample is: P 1hi hi hi ah M = ∑ M Let g hi be the number of households selected in the cluster. The second stage’s selection probability for each household in the cluster is calculated as follows: hi hi ghi P 2 hi = M b The overall selection probability of each household in cluster i of stratum h is therefore the production of the selection probabilities: hi × b hi Phi = P1 hi × P2 hi The design weight for each household in cluster i of stratum h is the inverse of its selection probability: W = 1/ P A spreadsheet containing all sampling parameters and selection probabilities was constructed to facilitate the calculation of sampling weights. Household sampling weights and the individual sampling weights were obtained by adjusting the above calculated design weight to compensate for household non-response and individual non-response, respectively. These weights were further normalized at the national level to achieve the number of un-weighted cases equal to the number of weighted cases for both households and individuals at the national level. The normalized weights are valid for estimating means, proportions, rates and ratios, but not valid for estimation of totals. No special weights were calculated for data collected on children because there was not a child’s questionnaire. For child indicators tabulated at the household level, household weights should be used; for child indicators tabulated at the individual level, the child’s mother’s/guardian’s weight should be used. Sampling errors for selected indicators are calculated and presented in Appendix B. hi hi hi Appendix A | 257
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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:
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Table 3.3.1 Literacy: Women Percent
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Table 3.4.1 Exposure to mass media:
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Table 3.5.1 Employment status: Wome
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3.4.2 Occupation Respondents who we
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3.4.3 Earnings, Employers, and Cont
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Tables 3.8.1 and 3.8.2 show the per
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Table 3.9.1 Use of tobacco: Women P
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FERTILITY 4 One of the major object
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Table 4.2 Fertility by background c
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calculated in the 2003 DHS follows
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of primary sterility. In Timor-Lest
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Table 4.8 Median age at first birth
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FAMILY PLANNING 5 In 2002, the Coun
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According to the 2003 DHS, knowledg
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Table 5.3.1 Ever use of contracepti
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Table 5.4 Current use of contracept
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Table 5.5 Current use of contracept
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Use increases with parity but with
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Female and male sterilizations are
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Table 5.10 Future use of contracept
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Table 5.13 Exposure to family plann
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Table 5.15 Husband/partner’s know
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6.2 POLYGYNY Polygyny (the practice
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20.9 years. Although the proportion
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84 | Other Proximate Determinants o
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Table 6.7.1 Recent sexual activity:
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There is little difference in the p
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2 percent among women age 30-34 to
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92 | Fertility Preferences Table 7.
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94 | Fertility Preferences 7.3 NEED
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96 | Fertility Preferences an idea
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98 | Fertility Preferences The perc
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with their death, or they may live
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100 80 60 40 20 102 | Infant and Ch
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104 | Infant and Child Mortality Ta
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8.7 HIGH-RISK FERTILITY BEHAVIOR Th
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ADULT AND MATERNAL MORTALITY 9 The
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9.2 ADULT MORTALITY Table 9.3 Sibsh
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MATERNAL HEALTH 10 Making Pregnancy
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among women in the lowest wealth qu
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A much lower percentage of Timorese
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Table 10.5 Knowledge of danger sign
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10.6.2 Assistance during Delivery O
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Table 10.8 Knowledge of danger sign
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Table 10.10 Application of material
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Table 10.12 Timing of first postnat
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Where health services are present,
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CHILD HEALTH 11 This chapter presen
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In the TLDHS, information on vaccin
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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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Page 245 and 246: 15.5 ATTITUDES TOWARD WIFE BEATING
Page 247 and 248: Table 15.6.2 Attitude toward wife b
Page 249 and 250: Table 15.7.1 Attitude toward refusi
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Page 253 and 254: Table 15.8 Indicators of women’s
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Page 277 and 278: 16.15 HELP-SEEKING BEHAVIOR OF WOME
Page 279 and 280: 16.17 SOCIAL NORMS AND VALUES The f
Page 281 and 282: REFERENCES Acharya, M. 2010. Effort
Page 283 and 284: Ministry of Health (MOH) [Timor-Les
Page 285: World Health Organization (WHO), Wo
Page 290 and 291: A.5 SURVEY RESULTS 258 | Appendix A
Page 293 and 294: ESTIMATES OF SAMPLING ERRORS Append
Page 295 and 296: Table B.1 List of selected variable
Page 297 and 298: Table B.3 Sampling errors for Urban
Page 299 and 300: Table B.5 Sampling errors for Aileu
Page 301 and 302: Table B.7 Sampling errors for Bauca
Page 303 and 304: Table B.9 Sampling errors for Coval
Page 305 and 306: Table B.11 Sampling errors for Erme
Page 307 and 308: Table B.13 Sampling errors for Liqu
Page 309 and 310: Table B.15 Sampling errors for Manu
Page 311: Table B.17 Sampling errors for Viqu
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Page 321 and 322: PERSONS INVOLVED IN THE 2009-10 TIM
Page 323 and 324: Martinho da Costa Cesaltina Falcao
Page 325: QUESTIONNAIRES Appendix E Appendix
Page 328 and 329: 296 | Appendix E Introduction and C
Page 330 and 331: IF AGE 15 IF AGE 0-17 YEARS IF AGE
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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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318 | Appendix E NO. QUESTIONS AND
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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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