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iP r i o r i t yP r i o r i t yT a b l e s f o r T a b l e s f o r

B a u c a u D i s t r i c tB a u c a u D i s t r i c t

copyright NSD and UNFPA 2008

National Statistics Directorate (NSD)United Nations Population Fund (UNFPA)

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Map for Urban and Rural Area

vDirector Nacional de EstatsticaManuel Mendona

The Census Project Team 2004

Who Produced the Current Book:Direco Nacional de Estatstica (DNE)

andUnited Nation Population Fund (UNFPA)

International Technical AdviserAllen Harbrow

Glenn McKinlayAndreas DemmkeRicardo Neupert

Programme CoordinatorJos Lucas da Silva

National CoordinatorElias dos Santos

Data ProcessorKira MeadowsSilvino Lopes

GIS and Mapping TechniciansAlipio Cardoso Moniz

Csar Melito dos S. Martins

Demographer TraineeAnastasia SEP Vong

vi

Data Analyst TraineeManuel da Silva

Information Technology Offi cerJoo Correia Freitas

ReviewersRicardo Neupert

Jose LucasAbilio Belo

Caroline meenagh

Editor (graphic designer)Domingos FREITAS

Photographs:Domingos Freitas

DNE (staff)

vii

Preface

To the lay person, a population and housing census appears to be a simple undertaking which consists mainly of counting individuals, collecting information about these individuals and publishing respective numbers. This belief is far from true. In reality, the undertaking of a census is a quite diffi cult endeavor which involves the use of a complex strategy to mobilize both people and resources. Ultimately, it becomes the main source of data that serves a broad variety of information needs such as population size, spatial distribution and demographic, social and economic characteristics of people.

Census data are used for national and sectoral planning, allocating resources, providing roads, making improvements to housing, constructing schools, hospitals and health care centers, and for analyzing both employment and unemployment trends. Good-quality and timely census results are essential in measuring population trends, both guiding and focusing policies and programs, controlling and monitoring implementation, helping set goals and priorities, and lastly, designing funding procedures.

Population and housing censuses are the nucleus of national statistics systems. For the foreseeable future, they will continue to be the main source of data for governments and other organizations in most countries. A unique characteristic of a census is that it is the only source of data for the smallest administrative areas and localities within a country and also for special population groups and trends that change slowly over time. For example, a census allows the study of migrant populations, persons living in disadvantaged areas or circumstances, or households headed by women and other gender-related topics. For more than three decades, the United Nations Population Fund (UNFPA) has been playing a leading role in supporting censuses in less-developed countries, many of which could not have conducted their censuses but for the timely assistance provided by UNFPA. This ranges from support for the total cost of the census in some countries, to technical aspects of capacity-building (especially in cartography, data collection, processing, data analysis and dissemination) in others. In this undertaking, UNFPA has been working in close partnership with other international, technical and donor agencies, especially the United Nations Statistics Division, the European Community, the U. S. Bureau of the Census, agencies within the UN system and the UN Regional Commissions. Apart from its direct support at the country level, UNFPA provides regional technical support through a network of Country Technical Services Teams (CSTs). UNFPAs technical and fi nancial assistance to less developed countries has contributed to successful censuses in many countries and strengthened their capacities to conduct modern censuses. One clear example of this contribution is the Timor-Leste 2004 Population and Housing Census.

Most of the partners mentioned above played an important role in the success of 2004 Timor-Leste Census. It is also important to refer to the generous support of USAid, NZAid, AusAid, and Irish Aid in this process. However, we cannot forget that our main partner is the National Statistics Directorate, and it was this Directorate which conducted the 2004 Census. Neither can we forget the enumerators, supervisors, suco chiefs, district census offi cers, who signifi cantly contributed to the success of the census.

viii

It is pertinent to stress that achieving an improved balance between population growth and socioeconomic development is the goal of UNFPA work in the area of population and development. UNFPA helps support country efforts to formulate population and development policies and programs; strengthen national capacity in the area of data collection and analysis; and promote knowledge of the linkages between population variables and economic and social development. These linkages may be found among poverty, environment, migration, urbanization and ageing. In carrying out its mandate, UNFPA attempts to ensure maximum impact on the lives of the poor and especially women. Central to this support is the assistance to conduct, process, analyze and disseminate census information.

The publication of these set of reports containing the results of the 2004 Population and Housing Census by districts is a major accomplishment of the National Statistical Directorate, not only in relation to the magnitude of the effort involved in the production of tables and maps, but also because it will provide users with detailed information on the location of the population and its demographic, social and economic characteristics. Today, more than ever, information on the size and characteristics of the total population of a country is not suffi cient for many purposes. Population data are often needed for administrative subdivisions of a country. The spatial distribution of the population is not even but is dense in some places and sparse in others and the geographic patterns of demographic, social and economic characteristics are often quite complex. These reports will provide a wealth of data to study and analyze those patterns.

ix

Contents

PagePREFACE .................................................................................................................................................... v

INTRODUCTION .................................................................................................................................................... xv

1. Population .................................................................................................................................................... 1-72. Social characteristics .................................................................................................................................................... 9-163. Households .................................................................................................................................................... 17-254. Fertility and mortality .................................................................................................................................................... 27-375. Education and literacy .................................................................................................................................................... 39-606. Economic activity .................................................................................................................................................... 61-797. Disability .................................................................................................................................................... 81-848. Housing .................................................................................................................................................... 85-959. Migration .................................................................................................................................................... 97-108

Census glossary .................................................................................................................................................... 109-115

LIST OF TABLES

1. POPULATION ............................................................................ 1

Table 1.1: Baucau: Population by type of residence and sex according to age groups ............................................................................ 2Table 1.2: Baucau: Population in private households by sex according to single ages ............................................................................ 3Table 1.3: Baucau: Population in private households by sex according to sub-district and suco ............................................................................ 6

xContents - continued

Page2. SOCIAL CHARACTERISTICS ........................................................................... 9

Table 2.1: Baucau: Population in private households, 15 years and older, by marital status according to sex and age groups ........................................................................... 10 Table 2.2: Baucau: Population in private households, 6 years and older, by religion acording to sex and age groups ............................................................................ 12 Table 2.3: Baucau: Population in private households, 6 years and older according to mother tongue ........................................................................... 14 Table 2.4: Baucau: Population in private households, 6 years and older, by capability in offi cial languages and sex according to age groups ........................................................................... 16

3. HOUSEHOLDS ........................................................................... 17

Table 3.1: Baucau: Population in private households by marital status according to sex and relationship to the head of the household ........................................................................... 18 Table 3.2: Baucau: Head of private households by marital status according to sex and age groups ........................................................................... 20Table 3.3: Baucau: Private households by number of residents according to sex and age group of the head of the household ........................................................................... 22Table 3.4: Baucau: Private households according to sub-district and suco ........................................................................... 24

4. FERTILITY AND MORTALITY ........................................................................... 27

Table 4.1: Baucau: Women in private households, 15 years and older, by number of children ever born according to sex of children and age of the woman and total number of children ever born according to sex of the children and age of woman ........................................................................... 28

xi

Contents - continued

PageTable 4.2: Baucau: Women in private households, 15 years and older, by number of living children according to sex of children and age of the woman and total number of living children according to sex of the children and age of woman ........................................................................... 31Table 4.3: Baucau: Women in private households by number of stillbirths according to age of woman ........................................................................... 34Table 4.4: Baucau: Women in private households, aged 15 to 54 by reported birth in the 12 months prior to the census according to age groups ........................................................................... 35 Table 4.5: Baucau: Women in private households by age at fi rst birth and median age at fi rst birth and by year of ocurrence ........................................................................... 36Table 4.6: Baucau: Population in private households by survival of parents according to age groups ........................................................................... 37

5. EDUCATION AND LITERACY ........................................................................... 39

Table 5.1: Baucau: Population in private households, 6 years and older, by age groups according to sex and educational attainment ........................................................................... 40Table 5.2: Baucau: Population in privale households, 6 years and older by literacy* in any of the offi cial languages according to sex and age group ........................................................................... 46Table 5.3.a: Baucau: Population in private households, 6 years and older, by language capability in Portuguese according to sex and age group ........................................................................... 49Table 5.3.b: Baucau: Population in private households, 6 years and older, by language capability in tetum according to sex and age group ........................................................................... 52Table 5.3.c: Baucau: Population in private households, 6 years and older, by language capability in bahasa according to sex and age group ........................................................................... 55 Table 5.3.d: Baucau: Population in private households, 6 years and older, by language capability in english according to sex and age group ........................................................................... 58

xii


Page6. ECONOMIC ACTIVITY ........................................................................... 61

Table 6.1: Baucau: Population in private households, 15 years of age and older, by age groups according to sex and current economic activity ........................................................................... 62Table 6.2: Baucau: Population in private households, 15 years of age, currently economically active, by age groups according to sex and main occupation ........................................................................... 65Table 6.3: Baucau: Population in private households, 15 years and older, currently economically active by age group according to sex and industry ........................................................................... 70Table 6.4: Baucau: Population in private households, 15 years of age and older, current economically active, by number of days worked in the week prior to the census day according to sex and age groups ........................................................................... 73Table 6.5: Baucau: Population in private households, 15 years of age and older, currently economically active, by number of months worked prior to census day, according to sex and age groups ........................................................................... 76Table 6.6: Baucau: Private households with residents 15 years and older and number of persons 15 years and older by number of unpaid days worked for the suco community ........................................................................... 79

7. DISABILITY ........................................................................... 81

Table 7.1: Baucau: Private households by presence of persons with disability (if any) and type of disability according to sex and age of the head of the household ........................................................................... 82

xiii


Page8. HOUSING ........................................................................... 85

Table 8.1: Baucau: Private households by type of ownership of the dwelling according to construction material of fl oor, walls and roof ........................................................................... 86Table 8.2: Baucau: Private dwellings by type of ownership of the dwelling (occupied only) according to construction material of fl oor, walls and roof ........................................................................... 87Table 8.3.a: Baucau: Private households by construction material of fl oor according to sex and age group of the head of the household ........................................................................... 88Table 8.3.b: Baucau: Private households by construction material of walls according to sex and age group of the head of the household ........................................................................... 90Table 8.3.c: Baucau: Private households by construction material of roof according to sex and age group construction material of roof ........................................................................... 92Table 8.4: Baucau: Private households according to livestock kept and number of persons and amount of livestock in those households ........................................................................... 94Table 8.5: Baucau: Private households according to crops cultivated and persons in those households ........................................................................... 95

9. MIGRATION ........................................................................... 97

Table 9.1: Baucau: Population in private households by place of birth and present residence according to sex and age groups (life-time migration) ........................................................................... 98Table 9.2: Baucau: Population in private households by place of present residence and residence in January 1999 according to age and sex groups ........................................................................... 101Table 9.3: Baucau: Population in private households by place of present residence and residence in July 2002 according to to age and sex groups ........................................................................... 104Table 9.4: Baucau: Population in private households 5 years and older living in Baucau in 1999 and in another district in 2004 by sex and reason for moving ........................................................................... 107Table 9.5: Baucau: Population in private households 2 years and older living in Baucau in 2002 and in another district in 2004 by sex and reason for moving ........................................................................... 108

xv

Introduction

As part of its activities of disseminating the 2004 Census of Population and Housing, the National Statistic Directorate (NSD) has already produced four publications. The fi rst one is a book with the national priority tables, containing tables considered by the specialized agencies of the United Nations as the most relevant to construct after the census data are processed. The second publication is a booklet containing selected demographic indicators calculated with census data, graphs and maps. The third product is a poster that displays basic population and demographic information. The fourth publication is the Census Atlas, a collection of selected thematic maps and tables on population characteristics of Timor-Leste. The natural fi fth product is a set of books with priority tables at the district level.

Census data are used to conduct diverse economic, social and demographic studies about the entire country, but are also much utilized to analyze areas at different levels of aggregations. These are mainly administrative areas such as regions, provinces, districts, municipalities, counties, villages or even the so called census enumeration areas or census tracks. Data for local areas enable the user to obtain statistical information on specifi c localities of interest as well as to examine variations among local areas. Typical examples are the use census socioeconomic indicators to rank local areas according to their level of socioeconomic development in order to focus development programs where they are most needed. In other words, not only the magnitude of population needs is important but also the spatial location of such needs. Local area analysis is also used to compare labor markets in order to analyze potential migration streams. Actually, it is the main source of internal migration data.

The results of population and housing censuses are useful for planning and monitoring plans directed to the development of local areas, small towns, geographic regions, etc. It is also important to remember that, although the implementation of national social and economic development programs is a function of the state, when it comes to the execution, many national programs are the responsibility of local areas administration.

It is important to remember that the census is the only source that provides total statistical coverage, from the broadest level (country) to the most local areas, which in the case of the 2004 Census was the suco. It makes it possible to study all kind of demographic, social, occupational or ethnic sub-groups at the fi nest level. Because of its coverage of the entire country, it is an essential master sample frame for any household survey.

As mentioned above, census data have been traditionally aggregated by various types of administrative units. However, there is an increasing demand for local area data that cut across the local administrative boundaries. For example assessments of the impact of population on the environment may require such special areas. The spatial units for those types of studies may combine a group of small local administrative areas in order to form the required sector. In this situation the availability of census databases with mapping capability is of great importance.

It is fi nally important to mention that a major administrative use of census data is in the delineation of constituencies and the allotment of representation on governing bodies. Detailed information on spatial distribution of the population is essential for this purpose. Many aspects of the legal or administrative status of territorial divisions may also depend on the size of their populations.

To summarize, there is an ample amount of census data that is used at the level of administrative divisions of countries. In Timor-Leste, the district is one of the most important of such divisions. Providing information at this level will satisfy many needs. Therefore, as the country faces the challenges of planning its future development, it is expected that the publication of the set of 13 books, one per district, will be of extensive use by planners, policy-makers, researchers and administrators, especially at the local level. It is also important to mention that two tables in these publications present data at the sub-district and suco level.

xvi

One includes the population by sex and the other the number of households. An additional piece of information provided in these tables is the rural or urban classifi cation of the suco.

Each book contains 8 sections dealing with a diversity of topics: population, social characteristics, households, fertility and mortality, education and literacy, economic activity, disability and housing.

Each section contains several tables, which are considered to contain the most relevant information according to consultations with national and international agencies. As mentioned above, recommendations of specialized agencies of the United Nations were also taken into account. It is likely that some tables considered by some agencies as important were not included. However, these tabulations represent a compromise between the

ideal desired tabulations and the limits imposed by practical considerations. In any case, the National Statistics Directorate is able to produce special tabulations on demand if census data users require tables not included in these publications.It is important to notice that a section on migration was not included in these publications. Data on international migration and migration between districts is presented in the National Priority Tables publication, and it is redundant to present those migration tables also here. Migration within districts (for example between dub-districts or sucos) is not possible to obtain because migration data from the census questionnaires was entered only at the district level.

Two appendices were added at the end of this publication: Appendix A which includes a copy of the questionnaires (Tetum and English) and Appendix B which consists of the census glossary.

Nacional Statistics Directorate, Timor-Leste. Census of Population and Housing 2004. National Priority Tables, Dili, 2006

1 PRIORITY TABLES FOR BAUCAU DISTRICT

Population


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Table 1.1Baucau: Population by type of residence and sex according to age groups

Age groups

Type of resident

Total Household Institution

Total Male Female Total Male Female Total Male Female

Total 100,748 50,689 50,059 100,326 50,468 49,858 422 221 201

0-4 15,803 8,170 7,633 15,802 8,170 7,632 1 0 1

5-9 14,727 7,688 7,039 14,720 7,685 7,035 7 3 4

10-14 13,149 6,825 6,324 13,096 6,810 6,286 53 15 38

15-19 9,245 4,553 4,692 9,156 4,542 4,614 89 11 78

20-24 6,066 2,948 3,118 5,926 2,829 3,097 140 119 21

25-29 4,838 2,300 2,538 4,803 2,277 2,526 35 23 12

30-34 6,560 3,232 3,328 6,527 3,217 3,310 33 15 18

35-39 5,220 2,592 2,628 5,201 2,584 2,617 19 8 11

40-44 5,326 2,585 2,741 5,311 2,577 2,734 15 8 7

45-49 4,161 1,975 2,186 4,157 1,973 2,184 4 2 2

50-54 4,618 2,281 2,337 4,609 2,274 2,335 9 7 2

55-59 2,829 1,373 1,456 2,821 1,368 1,453 8 5 3

60-64 3,130 1,567 1,563 3,127 1,565 1,562 3 2 1

65-69 1,753 860 893 1,750 859 891 3 1 2

70-74 1,606 810 796 1,604 809 795 2 1 1

75 + 1,717 930 787 1,716 929 787 1 1 0


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Table 1.2Baucau: Population in private households by sex according to single ages

continued

Single ageSex

Total Male FemaleSingle age

Sex

Total Male Female

Total 100,326 50,468 49,858

0 2,950 1,523 1,427

1 3,200 1,703 1,497

2 3,087 1,589 1,498

3 3,323 1,702 1,621

4 3,242 1,653 1,589

5 2,923 1,500 1,423

6 3,106 1,683 1,423

7 2,965 1,524 1,441

8 3,139 1,635 1,504

9 2,587 1,343 1,244

10 3,197 1,687 1,510

11 2,115 1,078 1,037

12 3,049 1,612 1,437

13 2,273 1,194 1,079

14 2,462 1,239 1,223

15 2,123 1,069 1,054

16 1,974 962 1,012

17 1,792 929 863

18 1,800 902 898

19 1,467 680 787

20 1,647 807 840

21 1,162 561 601

22 1,154 550 604

23 1,032 479 553

24 931 432 499

25 914 444 470

26 663 288 375

27 765 385 380

28 1,125 530 595

29 1,336 630 706

30 1,833 885 948

31 1,053 520 533

32 1,445 710 735

33 813 395 418

34 1,383 707 676

35 1,339 660 679

36 1,028 526 502

37 791 377 414

38 1,008 493 515

39 1,035 528 507


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Table 1.2 (continued)

continued

Single ageSex

Total Male FemaleSingle age

Sex

Total Male Female

40 1,452 688 764

41 819 409 410

42 1,093 527 566

43 796 395 401

44 1,151 558 593

45 1,079 502 577

46 743 356 387

47 633 305 328

48 864 397 467

49 838 413 425

50 1,341 642 699

51 728 380 348

52 790 412 378

53 577 276 301

54 1,173 564 609

55 665 321 344

56 595 288 307

57 441 221 220

58 489 235 254

59 631 303 328

60 1,014 508 506

61 404 210 194

62 603 280 323

63 368 192 176

64 738 375 363

65 594 288 306

66 286 153 133

67 281 134 147

68 271 130 141

69 318 154 164

70 584 290 294

71 195 106 89

72 331 162 169

73 170 74 96

74 324 177 147

75 275 146 129

76 140 64 76

77 87 52 35

78 111 61 50

79 135 73 62


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Single ageSex

Total Male Female

80 325 189 136

81 66 33 33

82 94 43 51

83 59 32 27

84 86 56 30

85 63 31 32

86 34 19 15

87 28 14 14

88 17 10 7

89 21 16 5

90 + 175 90 85


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Table 1.3Baucau: Population in private households by sex according to sub-district and suco

Geographic levelSex

Total Male FemaleGeographic level

Sex

Total Male Female

continued

Total 100,326 50,468 49,858

Sub District Baguia 8,943 4,376 4,567

Afaloicai 653 303 350

Alaua Craic 1,181 590 591

Alaua Leten 1,080 499 581

Haeconi 1,148 591 557

Osso-Huna 513 242 271

Lari Sula 758 354 404

Samalari 1,475 762 713

Defa Uassi 815 373 442

Lavateri 1,211 613 598

Uacala 109 49 60

Sub District Baucau 37,112 18,867 18,245

Bahu * 3,572 1,807 1,765

Bucoli 2,014 1,012 1,002

Buruma 10,096 5,161 4,935

Buibau 3,493 1,775 1,718

Wailili 3,966 2,055 1,911

Samalari 1,262 631 631

Gariuai 3,425 1,702 1,723

Triloca 2,052 1,067 985

Trilolo * 1,850 959 891

Seical 1,773 875 898

Caibada 3,609 1,823 1,786

Sub District Laga 15,133 7,561 7,572

Atelari 1,945 939 1,006

Tequino Mata 3,675 1,854 1,821

Soba 1,459 721 738

Samalari 1,365 686 679

Sagadati 2,508 1,272 1,236

Nunira 1,575 801 774

Libagua 1,377 682 695

Saelari 1,229 606 623

Sub District Quelicai 15,915 7,801 8,114

Baguia 670 337 333

Locoliu 1,518 736 782

Letemuno 2,141 1,024 1,117

Waitame 866 420 446

Macalaco 1,111 548 563

Bualale 671 318 353


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Table 1.3Baucau: Population in private households by sex according to sub-district and suco

Geographic levelSex

Total Male Female


Geographic levelSex

Total Male Female

Lelalai 1,390 685 705

Abo 570 291 279

Guruca 1,626 809 817

Afaca 1,302 632 670

Laisorolai de Cima 1,982 979 1,003

Laisorolai de Baixo 1,171 573 598

Maluro 82 42 40

Namanei 691 346 345

Abafala 124 61 63

Sub District Vemasse 8,886 4,574 4,312

Vemase 4240 2170 2070

Ostico 1240 652 588

Ossoala 763 405 358

Loilubo 1335 685 650

Uaigae 382 188 194

Uatu-Lari 654 340 314

Caicua 272 134 138

Sub District Venilale 14,337 7,289 7,048

Bado Hoo 1,606 842 764

Baha Mori 2,325 1,214 1,111

Uailaha 1,767 889 878

Uai Oli 1,344 681 663

Uma Ana Ico 431 235 196

Uma Ana Ulo 2,202 1,109 1,093

Fatulia 2,101 1,054 1,047

Uato Haco 2,561 1,265 1,296

* Urban Suco


Social Characteristics


Table 2.1Baucau: Population in private households, 15 years and older, by marital status according to sex and age groups

continued

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Sex and age groupMarital status

Total Never married Married Widowed Divorced Separated

Both sexes 56,708 16,253 35,003 4,939 260 253

15-19 9,156 8,665 436 44 9 2

20-24 5,926 3,676 2,184 33 13 20

25-29 4,803 1,276 3,444 44 22 17

30-34 6,527 916 5,418 121 40 32

35-39 5,201 529 4,459 137 39 37

40-44 5,311 346 4,617 280 33 35

45-49 4,157 232 3,503 359 26 37

50-54 4,609 200 3,782 577 28 22

55-59 2,821 91 2,180 513 19 18

60-64 3,127 105 2,215 785 12 10

65-69 1,750 50 1,097 577 11 15

70-74 1,604 59 871 663 7 4

75 + 1,716 108 797 806 1 4

Male 27,803 8,952 17,055 1,640 83 73

15-19 4,542 4,439 73 28 2 0

20-24 2,829 2,191 618 16 3 1

25-29 2,277 835 1,420 16 1 5

30-34 3,217 559 2,592 52 9 5

35-39 2,584 295 2,213 56 11 9

40-44 2,577 179 2,293 84 11 10


Table 2.1Baucau: Population in private households, 15 years and older, by marital status according to sex and age groups


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Sex and age groupMarital status


45-49 1,973 112 1,728 115 9 9

50-54 2,274 107 1,983 163 12 9

55-59 1,368 48 1,148 156 7 9

60-64 1,565 55 1,258 244 5 3

65-69 859 32 639 172 9 7

70-74 809 34 550 219 3 3

75 + 929 66 540 319 1 3

Female 28,905 7,301 17,948 3,299 177 180

15-19 4,614 4,226 363 16 7 2

20-24 3,097 1,485 1,566 17 10 19

25-29 2,526 441 2,024 28 21 12

30-34 3,310 357 2,826 69 31 27

35-39 2,617 234 2,246 81 28 28

40-44 2,734 167 2,324 196 22 25

45-49 2,184 120 1,775 244 17 28

50-54 2,335 93 1,799 414 16 13

55-59 1,453 43 1,032 357 12 9

60-64 1,562 50 957 541 7 7

65-69 891 18 458 405 2 8

70-74 795 25 321 444 4 1

75 + 787 42 257 487 0 1


Table 2.2Baucau: Population in private households, 6 years and older, by religion acording to sex and age groups

continued

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Sex and age groupReligion

Total Catholic Islam Budhist Hindu Protestant Evangelical Traditional Other

Both sexes 81,601 80,231 163 19 15 932 227 14

6-9 11,797 11,609 31 2 0 127 24 4

10-14 13,096 12,914 31 2 4 129 15 1

15-19 9,156 9,059 9 2 3 75 8 0

20-24 5,926 5,852 16 4 0 46 8 0

25-29 4,803 4,729 17 1 1 50 5 0

30-34 6,527 6,406 13 1 1 105 1 0

35-39 5,201 5,126 6 0 2 66 1 0

40-44 5,311 5,233 7 2 2 58 9 0

45-49 4,157 4,094 11 2 0 37 12 1

50-54 4,609 4,505 4 2 2 63 30 3

55-59 2,821 2,756 2 0 0 42 18 3

60-64 3,127 3,043 3 0 0 51 30 0

65-69 1,750 1,699 4 0 0 26 21 0

70-74 1,604 1,555 3 0 0 30 16 0

75 + 1,716 1,651 6 1 0 27 29 2

Male 40,798 40,107 86 9 10 448 130 8

6-9 6,185 6,092 18 1 0 58 13 3

10-14 6,810 6,720 19 1 3 62 5 0

15-19 4,542 4,488 5 1 1 40 7 0

20-24 2,829 2,796 8 0 0 22 3 0

25-29 2,277 2,239 8 1 1 25 3 0

30-34 3,217 3,161 7 1 1 46 1 0

35-39 2,584 2,546 2 0 2 34 0 0


Table 2.2 (continued)Table 2.2

Baucau: Population in private households, 6 years and older, by religion acording to sex and age groups

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O

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A

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E

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I

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T

I

C

S

Sex and age groupReligion

Total Catholic Islam Budhist Hindu Protestant Evangelical Traditional Other

40-44 2,577 2,543 3 0 1 27 3 0

45-49 1,973 1,944 5 2 0 18 4 0

50-54 2,274 2,225 3 2 1 23 17 3

55-59 1,368 1,334 1 0 0 20 11 2

60-64 1,565 1,521 1 0 0 28 15 0

65-69 859 835 1 0 0 9 14 0

70-74 809 780 2 0 0 17 10 0

75 + 929 883 3 0 0 19 24 0

Female 40,803 40,124 77 10 5 484 97 6

6-9 5,612 5,517 13 1 0 69 11 1

10-14 6,286 6,194 12 1 1 67 10 1

15-19 4,614 4,571 4 1 2 35 1 0

20-24 3,097 3,056 8 4 0 24 5 0

25-29 2,526 2,490 9 0 0 25 2 0

30-34 3,310 3,245 6 0 0 59 0 0

35-39 2,617 2,580 4 0 0 32 1 0

40-44 2,734 2,690 4 2 1 31 6 0

45-49 2,184 2,150 6 0 0 19 8 1

50-54 2,335 2,280 1 0 1 40 13 0

55-59 1,453 1,422 1 0 0 22 7 1

60-64 1,562 1,522 2 0 0 23 15 0

65-69 891 864 3 0 0 17 7 0

70-74 795 775 1 0 0 13 6 0

75 + 787 768 3 1 0 8 5 2


Table 2.3Baucau: Population in private households, 6 years and older according to mother tongue

continued

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O

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Mother tongueAge group

Total 6-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75 +

Total 81,601 11,797 13,096 9,156 5,926 4,803 6,527 5,201 5,311 4,157 4,609 2,821 3,127 1,750 1,604 1,716

Portuguese 48 7 9 6 3 2 4 5 4 0 2 3 1 1 1 0

Tetum 948 198 134 93 70 79 95 92 61 37 33 16 13 12 5 10

Indonesian 69 5 6 3 13 14 8 6 4 3 4 0 1 2 0 0

English 29 1 3 2 1 1 4 1 5 2 2 3 2 2 0 0

Adabe 3 2 1 0 0 0 0 0 0 0 0 0 0 0 0 0

Atauran 9 3 0 0 0 2 2 1 0 0 0 0 0 0 1 0

Atoni 9 1 0 0 1 1 1 1 0 1 0 1 0 0 0 2

Baikenu 31 0 3 9 9 4 0 4 2 0 0 0 0 0 0 0

Bekais 2 0 0 0 0 0 0 0 1 0 0 0 1 0 0 0

Bunak 7 0 0 2 1 2 1 0 0 0 0 0 0 0 1 0

Dadua 1 0 0 0 0 0 0 0 0 0 0 1 0 0 0 0

Fataluku 95 21 16 6 4 8 8 8 6 6 3 1 3 2 1 2

Galoli 405 45 65 55 35 26 31 21 21 25 18 20 11 11 6 15

Habun 3 0 0 0 0 0 0 1 0 0 1 0 1 0 0 0

Idalaka 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Idate 4 0 0 0 2 1 0 0 1 0 0 0 0 0 0 0

Isni 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Kairui 716 90 118 55 49 57 50 45 45 43 51 34 33 14 13 19



Baucau: Population in private households, 6 years and older according to mother tongue

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Mother tongueAge Group

Total 6-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65-69 70-74 75 +

Kawaimina 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Kemk 20 1 1 0 5 1 0 2 4 3 1 1 0 0 0 1

Lakalei 8 1 0 1 0 1 0 0 0 0 0 1 1 1 2 0

Lolein 15 2 1 2 0 1 2 3 1 2 0 0 1 0 0 0

Makalero 37 4 4 5 0 4 4 6 4 3 0 0 2 1 0 0

Makasai 51,806 7,515 8,253 5,570 3,514 2,959 3,980 3,246 3,513 2,720 3,048 1,879 2,123 1,220 1,098 1,168

Makuva 27 4 7 4 2 1 1 1 1 0 3 1 0 1 1 0

Mambai 86 10 14 17 9 2 6 2 8 4 5 6 1 1 0 1

Midiki 6,311 802 985 765 447 334 498 418 370 359 418 253 257 137 146 122

Nanaek 3 0 0 1 1 0 0 0 1 0 0 0 0 0 0 0

Naueti 779 124 94 65 30 39 74 60 53 36 58 31 34 21 29 31

Rahesuk 3 0 0 0 1 1 0 0 0 0 0 0 0 0 1 0

Raklungu 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0 0

Resuk 2 0 0 0 0 0 0 1 0 1 0 0 0 0 0 0

Tetum Prasa 5,949 959 978 894 629 506 556 395 282 218 167 100 86 51 54 74

Tetum-terik 73 10 5 2 12 7 12 7 3 4 2 2 3 1 1 2

Tokodede 21 2 2 5 2 2 2 1 2 0 1 0 0 1 0 1

Waima a 14,054 1,984 2,395 1,594 1,084 743 1,184 870 916 690 791 467 553 271 244 268

Malay 7 0 0 0 1 1 1 2 1 0 0 1 0 0 0 0

Chinese 6 1 0 0 0 0 1 2 1 0 1 0 0 0 0 0

Other 15 5 2 0 1 4 2 0 1 0 0 0 0 0 0 0


Table 2.4Baucau: Population in private households, 6 years and older, by capability

in offi cial languages and sex according to age groups

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A

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I

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I

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S

Age group

Capability in offi cial languages by sex

Portuguese Tetum Bahasa Indonesia English None of these

Total Male Female Total Male Female Total Male Female Total Male Female Total Male Female

Total 34,611 18,882 15,729 62,672 32,410 30,262 49,835 26,741 23,094 19,362 10,327 9,035 18,158 7,961 10,197

6-9 4,147 2,123 2,024 7,060 3,670 3,390 4,630 2,374 2,256 1,115 533 582 4,585 2,437 2,148

10-14 8,590 4,367 4,223 11,175 5,790 5,385 9,697 4,999 4,698 3,203 1,525 1,678 1,808 965 843

15-19 6,583 3,304 3,279 8,468 4,197 4,271 7,979 3,975 4,004 5,011 2,499 2,512 647 322 325

20-24 3,265 1,634 1,631 5,569 2,679 2,890 5,237 2,550 2,687 2,902 1,466 1,436 331 139 192

25-29 2,147 1,126 1,021 4,423 2,143 2,280 4,166 2,071 2,095 1,903 1,020 883 346 112 234

30-34 2,643 1,430 1,213 5,803 2,965 2,838 5,324 2,844 2,480 2,053 1,166 887 649 218 431

35-39 1,983 1,210 773 4,418 2,329 2,089 3,805 2,177 1,628 1,348 863 485 714 218 496

40-44 1,715 1,111 604 4,018 2,112 1,906 3,055 1,843 1,212 773 517 256 1,211 410 801

45-49 1,144 788 356 2,948 1,579 1,369 1,988 1,256 732 459 321 138 1,156 355 801

50-54 1,000 741 259 3,055 1,657 1,398 1,767 1,139 628 291 199 92 1,514 591 923

55-59 471 343 128 1,678 922 756 820 532 288 131 100 31 1,120 434 686

60-64 386 300 86 1,657 964 693 656 468 188 71 49 22 1,447 588 859

65-69 224 171 53 893 502 391 309 229 80 41 32 9 838 350 488

70-74 130 97 33 748 438 310 182 133 49 25 17 8 847 365 482

75 + 183 137 46 759 463 296 220 151 69 36 20 16 945 457 488


Households


Table 3.1Baucau: Population in private households by marital status according

to sex and relationship to the head of the household

continued

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E

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D

S

Sex and relationship of the head of the household

Marital status


Both sexes 100,326 59,871 35,003 4,939 260 253

Head 22,659 1,199 17,680 3,488 143 149

Wife/Husband 16,061 0 16,061 0 0 0

Daughter/Son 49,062 48,557 294 117 51 43

Stepchild/adopted child 2,847 2,797 29 10 6 5

Daughter-in-law/son-in-law 184 47 105 26 1 5

Mother/Father 996 43 219 722 6 6

Sister/Brother 2,503 1,911 310 217 36 29

Grandchild 3,302 3,277 17 3 3 2

Grandparent 217 12 50 153 1 1

Other relative 2,387 1,944 218 199 13 13

Non relative 108 84 20 4 0 0

Male 50,468 31,617 17,055 1,640 83 73

Head 18,536 789 16,384 1,254 54 55

Wife/Husband 212 0 212 0 0 0

Daughter/Son 25,504 25,355 98 38 9 4




Table 3.1 (continued) Table 3.1Baucau: Population in private households by marital status according

to sex and relationship to the head of the household

H

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E

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D

S

Sex and relationship of the head of the household

Marital status


Mother/Father 257 15 65 175 1 1

Sister/Brother 1,225 1,020 120 71 8 6

Grandchild 1,816 1,806 7 1 1 1

Grandparent 56 5 15 34 1 1

Other relative 1,221 1,081 78 53 7 2

Non relative 71 54 14 3 0 0

Female 49,858 28,254 17,948 3,299 177 180

Head 4,123 410 1,296 2,234 89 94

Wife/Husband 15,849 0 15,849 0 0 0

Daughter/Son 23,558 23,202 196 79 42 39



Mother/Father 739 28 154 547 5 5

Sister/Brother 1,278 891 190 146 28 23

Grandchild 1,486 1,471 10 2 2 1

Grandparent 161 7 35 119 0 0

Other relative 1,166 863 140 146 6 11

Non relative 37 30 6 1 0 0


Table 3.2Baucau: Head of private households by marital status according to sex and age groups

continued

H

O

U

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E

H

O

L

D

S

Sex and age group

Marital status


Both sexes 22,659 1,199 17,680 3,488 143 149

15-19 182 126 56 0 0 0

20-24 801 146 642 8 3 2

25-29 1,628 155 1,439 24 7 3

30-34 2,920 172 2,625 90 19 14

35-39 2,544 137 2,250 116 16 25

40-44 2,759 108 2,369 239 22 21

45-49 2,239 108 1,805 280 19 27

50-54 2,685 89 2,091 467 21 17

55-59 1,678 45 1,214 387 15 17

60-64 2,011 49 1,369 575 9 9

65-69 1,135 15 683 420 7 10

70-74 1,015 27 583 400 4 1

75 + 1,062 22 554 482 1 3

Male 18,536 789 16,384 1,254 54 55

15-19 114 75 39 0 0 0

20-24 681 118 556 5 1 1

25-29 1,475 128 1,334 12 0 1

30-34 2,650 123 2,472 45 7 3

35-39 2,280 87 2,135 51 2 5

40-44 2,384 61 2,234 74 8 7



Baucau: Head of private households by marital status according to sex and age groups

H

O

U

S

E

H

O

L

D

S

Sex and age group

Marital status


45-49 1,863 58 1,691 99 7 8

50-54 2,142 43 1,941 140 10 8

55-59 1,294 27 1,125 126 7 9

60-64 1,446 29 1,222 188 4 3

65-69 785 10 617 146 5 7

70-74 688 16 520 149 2 1

75 + 734 14 498 219 1 2

Female 4,123 410 1,296 2,234 89 94

15-19 68 51 17 0 0 0

20-24 120 28 86 3 2 1

25-29 153 27 105 12 7 2

30-34 270 49 153 45 12 11

35-39 264 50 115 65 14 20

40-44 375 47 135 165 14 14

45-49 376 50 114 181 12 19

50-54 543 46 150 327 11 9

55-59 384 18 89 261 8 8

60-64 565 20 147 387 5 6

65-69 350 5 66 274 2 3

70-74 327 11 63 251 2 0

75 + 328 8 56 263 0 1


Table 3.3Baucau: Private households by number of residents according

to sex and age group of the head of the household

continued

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O

U

S

E

H

O

L

D

S

Sex and age group

Number of residents

Total 1 2 3 4 5 6 7 +

Both sexes 22,659 2,138 3,595 3,448 3,375 2,986 2,587 4,530

15-19 182 37 64 48 13 15 2 3

20-24 801 62 209 278 137 57 31 27

25-29 1,628 71 216 351 427 259 153 151

30-34 2,920 99 220 395 553 591 467 595

35-39 2,544 83 176 244 335 400 469 837

40-44 2,759 114 219 224 309 402 447 1,044

45-49 2,239 137 247 256 292 280 312 715

50-54 2,685 239 422 380 388 381 299 576

55-59 1,678 189 315 315 251 205 163 240

60-64 2,011 351 489 367 290 194 141 179

65-69 1,135 231 350 212 143 90 38 71

70-74 1,015 237 331 192 125 59 34 37

75 + 1,062 288 337 186 112 53 31 55

Male 18,536 1,020 2,474 2,738 2,887 2,696 2,396 4,325

15-19 114 20 45 31 8 8 1 1

20-24 681 47 172 246 117 48 26 25

25-29 1,475 61 179 318 391 243 143 140

30-34 2,650 71 178 337 514 541 435 574

35-39 2,280 56 129 195 294 371 438 797

40-44 2,384 60 142 154 249 354 413 1,012


Table 3.3 (continued) Table 3.3Baucau: Private households by number of residents according

to sex and age group of the head of the household

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O

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E

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O

L

D

S

Sex and age group

Number of residents

Total 1 2 3 4 5 6 7 +

45-49 1,863 58 158 191 243 248 279 686

50-54 2,142 102 258 291 318 344 279 550

55-59 1,294 76 201 236 210 184 157 230

60-64 1,446 133 312 287 243 175 132 164

65-69 785 95 224 155 120 88 35 68

70-74 688 103 236 152 88 47 31 31

75 + 734 138 240 145 92 45 27 47

Female 4,123 1,118 1,121 710 488 290 191 205

15-19 68 17 19 17 5 7 1 2

20-24 120 15 37 32 20 9 5 2

25-29 153 10 37 33 36 16 10 11

30-34 270 28 42 58 39 50 32 21

35-39 264 27 47 49 41 29 31 40

40-44 375 54 77 70 60 48 34 32

45-49 376 79 89 65 49 32 33 29

50-54 543 137 164 89 70 37 20 26

55-59 384 113 114 79 41 21 6 10

60-64 565 218 177 80 47 19 9 15

65-69 350 136 126 57 23 2 3 3

70-74 327 134 95 40 37 12 3 6

75 + 328 150 97 41 20 8 4 8


Table 3.4Baucau: Private households according to sub-district and suco

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D

S

Geographic level Households Geographic level Households

continued

Baucau 22,659

Sub District Baguia 2,192

Afaloicai 158

Alaua Craic 283

Alaua Leten 263

Haeconi 273

Osso-Huna 141

Lari Sula 199

Samalari 325

Defa Uassi 205

Lavateri 322

Uacala 23

Sub District Baucau 7,734

Bahu * 711

Bucoli 409

Buruma 1,994

Buibau 705

Wailili 915

Samalari 272

Gariuai 775

Triloca 419

Trilolo * 373

Seical 413

Caibada 748

Sub District Laga 3,550

Atelari 468

Tequino Mata 918

Soba 288

Samalari 311

Sagadati 608

Nunira 354

Libagua 291

Saelari 312

Sub District Quelicai 3,941

Baguia 170

Locoliu 358

Letemuno 486

Waitame 200

Macalaco 248

Bualale 188

Lelalai 379

Abo 153

Guruca 364


Table 3.4Baucau: Private households according to sub-district and suco

Geographic level Households


Geographic Level Households

Afaca 297

Laisorolai de Cima 558

Laisorolai de Baixo 307

Maluro 23

Namanei 176

Abafala 34

Sub District Vemasse 2,017

Vemase 960

Ostico 258

Ossoala 184

Loilubo 317

Uaigae 90

Uatu-Lari 145

Caicua 63

Sub District Venilale 3,225

Bado Hoo 379

Baha Mori 523

Uailaha 371

Uai Oli 312

Uma Ana Ico 104

Uma Ana Ulo 499

Fatulia 478

Uato Haco 559

* Urban Suco

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D

S


Fertility and Mortality


Table 4.1Baucau: Women in private households, 15 years and older, by number of children ever born according

to sex of children and age of the woman and total number of children ever born according to sex of the children and age of woman

continued

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Y

Sex of child and age group of mother

Number of children ever born Total number of children

Children per

womanTotal None 1 2 3 4 5 6 7 8 9 10 11 12+

Children, both sexes 28,905 10,167 2,196 2,256 2,179 2,274 2,309 2,108 1,799 1,407 944 653 324 289 92,665 3.2

15-19 4,614 4,369 162 48 11 8 2 5 4 2 2 1 0 0 435 0.1

20-24 3,097 1,667 552 483 211 107 40 13 13 7 3 0 0 1 3,044 1.0

25-29 2,526 584 260 426 420 364 253 125 63 16 8 4 2 1 6,558 2.6

30-34 3,310 504 227 295 472 488 493 403 230 116 40 29 8 5 12,411 3.7

35-39 2,617 336 134 141 211 298 366 355 323 200 134 70 27 22 12,554 4.8

40-44 2,734 380 134 146 158 238 294 339 309 303 191 135 60 47 14,253 5.2

45-49 2,184 358 118 113 156 174 221 216 234 208 165 112 59 50 11,115 5.1

50-54 2,335 418 162 178 171 178 203 225 229 214 143 109 54 51 11,045 4.7

55-59 1,453 321 103 100 110 144 119 137 120 110 60 66 34 29 6,281 4.3

60-64 1,562 413 116 138 114 119 137 126 99 98 87 45 40 30 6,191 4.0

65-69 891 265 75 63 56 66 69 54 80 45 41 41 18 18 3,426 3.8

70-74 795 260 78 59 45 45 64 53 59 45 36 20 10 21 2,821 3.5

75 + 787 292 75 66 44 45 48 57 36 43 34 21 12 14 2,531 3.2





continued

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Y



Children per

womanTotal None 1 2 3 4 5 6 7 8 9 10 11 12+

Children, Male 28,905 12,109 4,222 3,929 3,271 2,441 1,528 810 381 130 55 23 4 2 48,659 1.7

15-19 4,614 4,458 116 24 10 3 3 0 0 0 0 0 0 0 221 0.0

20-24 3,097 2,076 630 282 73 24 7 3 1 0 1 0 0 0 1,578 0.5

25-29 2,526 884 621 530 304 136 36 11 2 1 1 0 0 0 3,414 1.4

30-34 3,310 760 681 740 549 316 176 67 19 2 0 0 0 0 6,503 2.0

35-39 2,617 474 379 470 535 379 214 93 50 13 8 2 0 0 6,614 2.5

40-44 2,734 494 357 467 474 385 267 171 80 24 11 4 0 0 7,505 2.7

45-49 2,184 473 267 349 317 330 211 129 71 19 11 7 0 0 5,883 2.7

50-54 2,335 565 335 360 345 309 209 128 49 21 11 3 0 0 5,779 2.5

55-59 1,453 406 233 222 197 166 114 60 35 13 4 1 2 0 3,279 2.3

60-64 1,562 522 259 203 191 154 127 60 20 19 4 1 1 1 3,210 2.1

65-69 891 313 111 107 113 109 70 34 27 7 0 0 0 0 1,899 2.1

70-74 795 330 110 95 92 59 58 29 11 5 2 4 0 0 1,451 1.8

75 + 787 354 123 80 71 71 36 25 16 6 2 1 1 1 1,323 1.7





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Y

A

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D

M

O

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T

A

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I

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Y



Children per

womanTotal None 1 2 3 4 5 6 7 8 9 10 11 12+

Children, Female 28,905 12,679 4,445 4,143 3,228 2,182 1,191 596 271 115 42 9 3 1 44,006 1.5

15-19 4,614 4,474 102 22 5 6 2 2 1 0 0 0 0 0 214 0.0

20-24 3,097 2,146 581 266 73 24 4 3 0 0 0 0 0 0 1,466 0.5

25-29 2,526 965 601 541 276 103 25 9 6 0 0 0 0 0 3,144 1.2

30-34 3,310 846 737 750 532 257 121 44 13 8 1 0 0 1 5,908 1.8

35-39 2,617 512 451 555 477 344 168 65 24 17 3 0 1 0 5,940 2.3

40-44 2,734 560 409 482 471 400 211 136 37 20 8 0 0 0 6,748 2.5

45-49 2,184 506 345 357 361 279 172 86 42 23 11 1 1 0 5,232 2.4

50-54 2,335 625 357 371 358 286 184 83 47 18 3 2 1 0 5,266 2.3

55-59 1,453 443 226 231 217 163 88 42 31 7 4 1 0 0 3,002 2.1

60-64 1,562 544 264 245 183 140 80 55 31 12 5 3 0 0 2,981 1.9

65-69 891 374 133 114 107 60 55 22 16 5 4 1 0 0 1,527 1.7

70-74 795 321 131 99 93 66 39 28 12 3 3 0 0 0 1,370 1.7

75 + 787 363 108 110 75 54 42 21 11 2 0 1 0 0 1,208 1.5


Table 4.2Baucau: Women in private households, 15 years and older, by number of living children

according to sex of children and age of the woman and total number of living children according to sex of the children and age of woman

continued

F

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T

I

L

I

T

Y

A

N

D

M

O

R

T

A

L

I

T

Y

Sex of child and age group of mother Total

Never had a birth

Number of living children Total number of children

Children per

woman0 1 2 3 4 5 6 7 8 9 10 11 12+

Children, both sexes 28,905 10,167 736 2,977 3,030 2,887 2,787 2,475 1,801 1,100 545 231 92 46 31 67,988 2.4

15-19 4,614 4,369 13 163 40 9 10 2 4 3 0 1 0 0 0 374 0.1

20-24 3,097 1,667 37 605 470 191 80 29 11 5 2 0 0 0 0 2,700 0.9

25-29 2,526 584 30 308 492 461 351 201 62 30 2 5 0 0 0 5,727 2.3

30-34 3,310 504 35 280 408 575 547 495 278 113 49 17 5 1 3 10,586 3.2

35-39 2,617 336 21 176 223 313 401 430 366 190 97 47 12 3 2 10,223 3.9

40-44 2,734 380 43 197 232 283 369 369 352 260 143 62 24 13 7 10,934 4.0

45-49 2,184 358 51 192 233 230 262 292 227 163 101 39 21 9 6 7,904 3.6

50-54 2,335 418 94 270 277 281 284 252 208 144 57 24 13 9 4 7,271 3.1

55-59 1,453 321 85 198 183 167 158 133 96 65 27 11 3 4 2 3,808 2.6

60-64 1,562 413 127 235 181 158 131 122 93 55 27 9 7 3 1 3,561 2.3

65-69 891 265 72 131 108 88 68 63 42 28 13 7 2 1 3 1,884 2.1

70-74 795 260 55 120 95 73 71 44 37 24 8 6 0 1 1 1,564 2.0

75 + 787 292 73 102 88 58 55 43 25 20 19 3 5 2 2 1,452 1.8





continued

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T

Y

A

N

D

M

O

R

T

A

L

I

T

Y


Never had a birth


Children per

woman0 1 2 3 4 5 6 7 8 9 10 11 12+

Children, Male 28,905 12,109 1,339 5,345 4,405 2,980 1,612 742 265 78 19 9 1 1 0 35,643 1.2

15-19 4,614 4,458 11 115 18 8 2 2 0 0 0 0 0 0 0 193 0.0

20-24 3,097 2,076 58 633 255 53 16 4 2 0 0 0 0 0 0 1,398 0.5

25-29 2,526 884 75 665 531 267 81 18 5 0 0 0 0 0 0 2,972 1.2

30-34 3,310 760 106 810 745 513 248 100 22 5 1 0 0 0 0 5,506 1.7

35-39 2,617 474 80 508 561 522 286 121 51 10 2 2 0 0 0 5,355 2.0

40-44 2,734 494 121 531 570 464 287 167 64 25 6 4 1 0 0 5,699 2.1

45-49 2,184 473 114 410 465 324 216 123 42 10 5 2 0 0 0 4,171 1.9

50-54 2,335 565 168 503 465 320 191 80 31 11 1 0 0 0 0 3,828 1.6

55-59 1,453 406 155 335 229 177 87 41 16 3 3 0 0 1 0 2,029 1.4

60-64 1,562 522 181 335 239 145 84 35 15 6 0 0 0 0 0 1,891 1.2

65-69 891 313 93 187 134 95 44 16 7 2 0 0 0 0 0 1,052 1.2

70-74 795 330 76 173 108 51 33 16 6 1 1 0 0 0 0 805 1.0

75 + 787 354 101 140 85 41 37 19 4 5 0 1 0 0 0 744 0.9





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Y


Never had a birth


Children per

woman0 1 2 3 4 5 6 7 8 9 10 11 12+

Children, Female 28,905 12,679 1,504 5,423 4,352 2,771 1,374 530 181 65 19 6 0 0 1 32,345 1.1

15-19 4,614 4,474 11 97 20 7 4 0 0 1 0 0 0 0 0 181 0.0

20-24 3,097 2,146 49 592 239 53 17 1 0 0 0 0 0 0 0 1,302 0.4

25-29 2,526 965 67 667 509 225 75 14 3 1 0 0 0 0 0 2,755 1.1

30-34 3,310 846 114 823 763 467 200 69 18 7 2 0 0 0 1 5,080 1.5

35-39 2,617 512 79 573 617 468 239 89 26 12 2 0 0 0 0 4,868 1.9

40-44 2,734 560 108 569 570 451 298 109 51 15 2 1 0 0 0 5,235 1.9

45-49 2,184 506 155 469 419 320 183 88 22 16 4 2 0 0 0 3,733 1.7

50-54 2,335 625 219 490 447 307 149 62 24 8 4 0 0 0 0 3,443 1.5

55-59 1,453 443 169 330 243 162 69 25 10 1 0 1 0 0 0 1,779 1.2

60-64 1,562 544 223 354 210 113 61 36 17 1 3 0 0 0 0 1,670 1.1

65-69 891 374 116 175 111 64 30 13 3 2 1 2 0 0 0 832 0.9

70-74 795 321 98 160 103 75 26 8 4 0 0 0 0 0 0 759 1.0

75 + 787 363 96 124 101 59 23 16 3 1 1 0 0 0 0 708 0.9


Table 4.3Baucau: Women in private households by number of stillbirths according to age of woman

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A

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Y

Age groupNumber of still births Total number of

stillbirthsTotal None 1 2 3 4 5 6 7 8

Total 28,905 26,568 1,793 389 109 34 11 1 0 0 3,095

15-19 4,614 4,605 7 2 0 0 0 0 0 0 11

20-24 3,097 3,035 56 6 0 0 0 0 0 0 68

25-29 2,526 2,391 116 16 1 2 0 0 0 0 159

30-34 3,310 3,024 240 31 11 4 0 0 0 0 351

35-39 2,617 2,328 220 58 8 1 1 1 0 0 375

40-44 2,734 2,390 267 58 16 1 2 0 0 0 445

45-49 2,184 1,857 245 62 16 4 0 0 0 0 433

50-54 2,335 2,065 198 49 14 7 2 0 0 0 376

55-59 1,453 1,272 128 34 10 5 4 0 0 0 266

60-64 1,562 1,373 133 34 14 6 2 0 0 0 277

65-69 891 789 80 13 8 1 0 0 0 0 134

70-74 795 726 45 15 8 1 0 0 0 0 103

75 + 787 713 58 11 3 2 0 0 0 0 97


Table 4.4Baucau: Women in private households, aged 15 to 54 by reported birth in

the 12 months prior to the census according to age groups

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Y

Age group Total women Women reporting births in past year

Total 23,417 4,299

15-19 4,614 173

20-24 3,097 823

25-29 2,526 936

30-34 3,310 1,177

35-39 2,617 677

40-44 2,734 382

45-49 2,184 106

50-54 2,335 25


Table 4.5Baucau: Women in private households by age at fi rst birth and median age at fi rst birth and by year of ocurrence

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Age at fi rst birth Total

Quinquenium 1954 and

earlier2004-2000 1999-1995 1994-1990 1989-1985 1984-1980 1979-1975 1974-1970 1969-1965 1964-1960 1959-1955

Total 18738 2528 2938 2706 2413 2326 1389 1561 1068 878 507 424


Table 4.6Baucau: Population in private households by survival of parents according to age groups

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Age group

Survival of parents

TotalFather Mother

Both alive One alive Both deceasedAlive Deceased Alive Deceased

Total 100,326 65,301 35,025 70,014 30,312 59,691 15,933 24,702

0-4 15,802 15,581 221 15,602 200 15,406 371 25

5-9 14,720 14,204 516 14,302 418 13,824 858 38

10-14 13,096 12,290 806 12,535 561 11,812 1,201 83

15-19 9,156 8,119 1,037 8,325 831 7,500 1,444 212

20-24 5,926 4,701 1,225 4,988 938 4,142 1,405 379

25-29 4,803 2,825 1,978 3,366 1,437 2,235 1,721 847

30-34 6,527 2,984 3,543 3,778 2,749 2,081 2,600 1,846

35-39 5,201 1,812 3,389 2,512 2,689 1,179 1,966 2,056

40-44 5,311 1,209 4,102 1,893 3,418 676 1,750 2,885

45-49 4,157 667 3,490 1,125 3,032 351 1,090 2,716

50-54 4,609 399 4,210 770 3,839 184 801 3,624

55-59 2,821 196 2,625 354 2,467 89 372 2,360

60-64 3,127 124 3,003 217 2,910 67 207 2,853

65-69 1,750 54 1,696 92 1,658 40 66 1,644

70-74 1,604 46 1,558 56 1,548 30 42 1,532

75 + 1,716 90 1,626 99 1,617 75 39 1,602


Education and Literacy


Table 5.1Baucau: Population in private households, 6 years and older, by

age groups according to sex and educational attainment

continued

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Y

Sex and education attainment

Age group

Total 6-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65 +

Both sexes 81,601 11,797 13,096 9,156 5,926 4,803 6,527 5,201 5,311 4,157 4,609 2,821 3,127 5,070

No schooling 2,870 690 244 133 74 80 138 150 219 212 211 161 217 341

Primary school 24,635 4,574 8,602 2,851 1,460 1,301 1,551 1,067 1,093 768 658 275 199 236

Years of study

1 2,783 1,770 491 75 57 49 63 75 69 46 37 19 9 23

2 4,325 1,586 1,298 218 145 127 191 198 198 131 103 53 39 38

3 4,721 906 1,944 379 228 216 201 167 239 163 119 46 49 64

4 4,214 312 1,981 496 246 194 232 148 207 154 130 48 30 36

5 3,450 0 1,627 602 302 232 285 125 95 54 57 25 27 19

6+ 5,142 0 1,261 1,081 482 483 579 354 285 220 212 84 45 56

Secondary school 15,108 0 1,074 4,508 2,813 1,845 2,319 1,386 638 260 138 47 31 49

Years of study

1 1,883 0 523 807 191 98 135 64 24 24 7 4 3 3

2 2,634 0 374 1,155 359 202 293 109 61 41 17 10 4 9

3 3,783 0 177 1,249 660 424 631 362 174 48 28 9 8 13

4 565 0 0 345 111 27 34 21 12 6 3 3 1 2

5 812 0 0 369 225 67 73 46 17 9 1 2 0 3

6+ 5,431 0 0 583 1,267 1,027 1,153 784 350 132 82 19 15 19





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Y


Age group

Total 6-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65 +

continued

Tertiary education 1,333 0 0 58 275 299 319 173 93 42 26 18 12 18

Years of study

1 223 0 0 13 97 38 31 28 10 4 1 1 0 0

2 491 0 0 45 98 86 83 66 39 17 17 12 12 16

3 278 0 0 0 41 81 74 47 21 8 4 1 0 1

4 146 0 0 0 21 45 51 14 8 5 1 1 0 0

5+ 195 0 0 0 18 49 80 18 15 8 3 3 0 1

Received diploma, either junior or senior high school 6,630 0 0 507 1,542 1,326 1,472 957 443 174 108 37 27 37

Received degree or certifi cate tertiary education 334 0 0 0 32 94 131 32 23 13 4 4 0 1

Education not stated 37,655 6,533 3,176 1,606 1,304 1,278 2,200 2,425 3,268 2,875 3,576 2,320 2,668 4,426





continued

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Age group

Total 6-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65 +

Male 40,798 6,185 6,810 4,542 2,829 2,277 3,217 2,584 2,577 1,973 2,274 1,368 1,565 2,597

No schooling 1,315 373 131 59 25 33 61 53 85 82 92 71 109 141

Primary school 13,504 2,362 4,517 1,512 720 648 826 601 707 533 533 199 161 185

Years of study

1 1,527 941 271 43 29 25 35 41 45 27 32 16 8 14

2 2,469 828 720 135 89 74 121 121 129 87 76 35 25 29

3 2,677 459 1,061 213 121 108 121 107 150 112 98 30 42 55

4 2,304 134 1,036 251 125 98 139 91 141 103 105 31 23 27

5 1,823 0 825 322 139 110 156 66 60 39 46 21 24 15

6+ 2,704 0 604 548 217 233 254 175 182 165 176 66 39 45

Secondary school 7,725 0 501 2,158 1,335 893 1,159 868 438 180 98 37 24 34

Years of study

1 955 0 239 422 101 44 63 38 17 20 5 3 2 1

2 1,317 0 174 558 165 99 155 63 38 31 16 8 4 6

3 1,783 0 88 580 285 172 287 191 109 32 18 8 5 8

4 272 0 0 153 59 13 14 14 7 5 3 2 1 1

5 388 0 0 170 111 30 29 26 12 7 1 2 0 0

6+ 3,010 0 0 275 614 535 611 536 255 85 55 14 12 18





continued

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Age group

Total 6-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65 +

Tertiary education 904 0 0 29 158 196 237 128 76 26 20 11 10 13

Years of study

1 142 0 0 7 58 23 21 19 9 4 1 0 0 0

2 312 0 0 22 54 51 62 44 29 8 11 9 10 12

3 199 0 0 0 29 52 55 34 18 6 4 0 0 1

4 109 0 0 0 10 34 39 14 7 4 1 0 0 0

5+ 142 0 0 0 7 36 60 17 13 4 3 2 0 0

Received diploma, either junior or senior high school 3,849 0 0 239 772 731 848 664 331 111 75 25 22 31


Education not stated 17,350 3,450 1,661 784 591 507 934 934 1,271 1,152 1,531 1,050 1,261 2,224





continued

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Age group

Total 6-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65 +

Female 40,803 5,612 6,286 4,614 3,097 2,526 3,310 2,617 2,734 2,184 2,335 1,453 1,562 2,473

No schooling 1,555 317 113 74 49 47 77 97 134 130 119 90 108 200

Primary school 11,131 2,212 4,085 1,339 740 653 725 466 386 235 125 76 38 51

Years of study

1 1,256 829 220 32 28 24 28 34 24 19 5 3 1 9

2 1,856 758 578 83 56 53 70 77 69 44 27 18 14 9

3 2,044 447 883 166 107 108 80 60 89 51 21 16 7 9

4 1,910 178 945 245 121 96 93 57 66 51 25 17 7 9

5 1,627 0 802 280 163 122 129 59 35 15 11 4 3 4

6+ 2,438 0 657 533 265 250 325 179 103 55 36 18 6 11

Secondary school 7,383 0 573 2,350 1,478 952 1,160 518 200 80 40 10 7 15

Years of study

1 928 0 284 385 90 54 72 26 7 4 2 1 1 2

2 1,317 0 200 597 194 103 138 46 23 10 1 2 0 3

3 2,000 0 89 669 375 252 344 171 65 16 10 1 3 5

4 293 0 0 192 52 14 20 7 5 1 0 1 0 1

5 424 0 0 199 114 37 44 20 5 2 0 0 0 3

6+ 2,421 0 0 308 653 492 542 248 95 47 27 5 3 1





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Y


Age group

Total 6-9 10-14 15-19 20-24 25-29 30-34 35-39 40-44 45-49 50-54 55-59 60-64 65 +

Tertiary education 429 0 0 29 117 103 82 45 17 16 6 7 2 5

Years of study

1 81 0 0 6 39 15 10 9 1 0 0 1 0 0

2 179 0 0 23 44 35 21 22 10 9 6 3 2 4

3 79 0 0 0 12 29 19 13 3 2 0 1 0 0

4 37 0 0 0 11 11 12 0 1 1 0 1 0 0

5+ 53 0 0 0 11 13 20 1 2 4 0 1 0 1

Received diploma, either junior or senior high school 2,781 0 0 268 770 595 624 293 112 63 33 12 5 6


Education not stated 20,305 3,083 1,515 822 713 771 1,266 1,491 1,997 1,723 2,045 1,270 1,407 2,202


Table 5.2Baucau: Population in privale households, 6 years and older by literacy* in any of the offi cial

languages according to sex and age group

continued

* Literacy a person who know how to read and write

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Y

Sex and age groupLiteracy

Total Iliterate Literate

Both sexes 81,601 43,188 38,413

6-9 11,797 8,559 3,238

10-14 13,096 4,846 8,250

15-19 9,156 1,970 7,186

20-24 5,926 1,521 4,405

25-29 4,803 1,467 3,336

30-34 6,527 2,466 4,061

35-39 5,201 2,536 2,665

40-44 5,311 3,424 1,887

45-49 4,157 2,958 1,199

50-54 4,609 3,627 982

55-59 2,821 2,373 448

60-64 3,127 2,784 343

65 + 5,070 4,657 413





continued

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Male 40,798 20,156 20,642

6-9 6,185 4,503 1,682

10-14 6,810 2,601 4,209

15-19 4,542 971 3,571

20-24 2,829 698 2,131

25-29 2,277 595 1,682

30-34 3,217 1,063 2,154

35-39 2,584 993 1,591

40-44 2,577 1,350 1,227

45-49 1,973 1,183 790

50-54 2,274 1,536 738

55-59 1,368 1,057 311

60-64 1,565 1,309 256

65 + 2,597 2,297 300





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Female 40,803 23,032 17,771

6-9 5,612 4,056 1,556

10-14 6,286 2,245 4,041

15-19 4,614 999 3,615

20-24 3,097 823 2,274

25-29 2,526 872 1,654

30-34 3,310 1,403 1,907

35-39 2,617 1,543 1,074

40-44 2,734 2,074 660

45-49 2,184 1,775 409

50-54 2,335 2,091 244

55-59 1,453 1,316 137

60-64 1,562 1,475 87

65 + 2,473 2,360 113


Table 5.3.aBaucau: Population in private households, 6 years and older, by language capability

in portuguese according to sex and age group

continued

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Y

Sex and age group

Language capability

Total Do not speak, read or write Speak only Read only Speak and read only Speak, read and write

Both sexes 81,601 46,990 2,479 13,587 1,416 17,129

6-9 11,797 7,650 396 2,252 147 1,352

10-14 13,096 4,506 344 3,667 372 4,207

15-19 9,156 2,573 204 2,397 296 3,686

20-24 5,926 2,661 138 1,461 132 1,534

25-29 4,803 2,656 89 1,210 82 766

30-34 6,527 3,884 175 1,333 126 1,009

35-39 5,201 3,218 165 676 85 1,057

40-44 5,311 3,596 185 293 69 1,168

45-49 4,157 3,013 180 109 30 825

50-54 4,609 3,609 181 90 28 701

55-59 2,821 2,350 113 37 11 310

60-64 3,127 2,741 107 27 15 237

65 + 5,070 4,533 202 35 23 277




Table 5.3.A (continued)

continuedED

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Y

Sex and age group

Language capability


Males 40,798 21,916 1,415 6,926 765 9,776

6-9 6,185 4,062 217 1,129 75 702

10-14 6,810 2,443 177 1,894 191 2,105

15-19 4,542 1,238 100 1,219 139 1,846

20-24 2,829 1,195 59 710 67 798

25-29 2,277 1,151 51 564 51 460

30-34 3,217 1,787 84 659 71 616

35-39 2,584 1,374 88 377 57 688

40-44 2,577 1,466 106 180 39 786

45-49 1,973 1,185 123 72 20 573

50-54 2,274 1,533 115 60 19 547

55-59 1,368 1,025 73 21 4 245

60-64 1,565 1,265 79 19 12 190

65 + 2,597 2,192 143 22 20 220




Table 5.3.a (continued)

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Y

Sex and age group

Language capability


Female 40,803 25,074 1,064 6,661 651 7,353

6-9 5,612 3,588 179 1,123 72 650

10-14 6,286 2,063 167 1,773 181 2,102

15-19 4,614 1,335 104 1,178 157 1,840

20-24 3,097 1,466 79 751 65 736

25-29 2,526 1,505 38 646 31 306

30-34 3,310 2,097 91 674 55 393

35-39 2,617 1,844 77 299 28 369

40-44 2,734 2,130 79 113 30 382

45-49 2,184 1,828 57 37 10 252

50-54 2,335 2,076 66 30 9 154

55-59 1,453 1,325 40 16 7 65

60-64 1,562 1,476 28 8 3 47

65 + 2,473 2,341 59 13 3 57


Table 5.3.bBaucau: Population in private households, 6 years and older, by language capability

in Tetum according to sex and age group

continued

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D

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C

A

T

I

O

N

A

N

D

L

I

T

E

R

A

C

Y

Sex and age group

Language capability


Both sexes 81,601 18,929 20,892 3,839 1,184 36,757

6-9 11,797 4,737 2,580 1,224 234 3,022

10-14 13,096 1,921 1,616 1,220 346 7,993

15-19 9,156 688 1,027 305 125 7,011

20-24 5,926 357 1,059 161 74 4,275

25-29 4,803 380 1,003 140 75 3,205

30-34 6,527 724 1,664 160 99 3,880

35-39 5,201 783 1,704 125 65 2,524

40-44 5,311 1,293 2,074 119 64 1,761

45-49 4,157 1,209 1,708 96 32 1,112

50-54 4,609 1,554 2,035 97 27 896

55-59 2,821 1,143 1,219 51 15 393

60-64 3,127 1,470 1,288 54 11 304

65 + 5,070 2,670 1,915 87 17 381




Table 5.3.b (continued)

continued

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A

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I

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N

A

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E

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A

C

Y

Sex and age group

Language capability


Males 40,798 8,388 10,125 1,906 656 19,723

6-9 6,185 2,515 1,373 611 120 1,566

10-14 6,810 1,020 887 618 204 4,081

15-19 4,542 345 486 165 70 3,476

20-24 2,829 150 500 75 35 2,069

25-29 2,277 134 439 57 38 1,609

30-34 3,217 252 772 78 54 2,061

35-39 2,584 255 727 56 34 1,512

40-44 2,577 465 861 55 36 1,160

45-49 1,973 394 781 44 21 733

50-54 2,274 617 923 44 20 670

55-59 1,368 446 617 26 6 273

60-64 1,565 601 692 31 10 231

65 + 2,597 1,194 1,067 46 8 282




Table 5.3.b (continued)

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Sex and age group

Language capability


Female 40,803 10,541 10,767 1,933 528 17,034

6-9 5,612 2,222 1,207 613 114 1,456

10-14 6,286 901 729 602 142 3,912

15-19 4,614 343 541 140 55 3,535

20-24 3,097 207 559 86 39 2,206

25-29 2,526 246 564 83 37 1,596

30-34 3,310 472 892 82 45 1,819

35-39 2,617 528 977 69 31 1,012

40-44 2,734 828 1,213 64 28 601

45-49 2,184 815 927 52 11 379

50-54 2,335 937 1,112 53 7 226

55-59 1,453 697 602 25 9 120

60-64 1,562 869 596 23 1 73

65 + 2,473 1,476 848 41 9 99


Table 5.3.cBaucau: Population in private households, 6 years and older, by language

capability in bahasa according to sex and age group

continued

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D

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A

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N

A

N

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I

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E

R

A

C

Y

Sex and age group

Language capability


Both sexes 81,601 31,766 10,528 6,079 1,258 31,970

6-9 11,797 7,167 821 1,919 205 1,685

10-14 13,096 3,399 851 2,417 408 6,021

15-19 9,156 1,177 660 527 141 6,651

20-24 5,926 689 766 169 86 4,216

25-29 4,803 637 763 143 70 3,190

30-34 6,527 1,203 1,232 158 98 3,836

35-39 5,201 1,396 1,186 125 64 2,430

40-44 5,311 2,256 1,229 159 60 1,607

45-49 4,157 2,169 892 139 38 919

50-54 4,609 2,842 870 126 44 727

55-59 2,821 2,001 449 60 20 291

60-64 3,127 2,471 379 66 9 202

65 + 5,070 4,359 430 71 15 195




Table 5.3.c (continued)

continuedED

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A

T

I

O

N

A

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I

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E

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A

C

Y

Sex and age group

Language capability


Male 40,798 14,057 5,699 3,162 697 17,183

6-9 6,185 3,811 456 969 100 849

10-14 6,810 1,811 481 1,278 233 3,007

15-19 4,542 567 334 303 75 3,263

20-24 2,829 279 385 70 42 2,053

25-29 2,277 206 368 55 36 1,612

30-34 3,217 373 648 80 61 2,055

35-39 2,584 407 609 52 31 1,485

40-44 2,577 734 631 80 37 1,095

45-49 1,973 717 514 72 21 649

50-54 2,274 1,135 462 76 28 573

55-59 1,368 836 266 32 14 220

60-64 1,565 1,097 251 44 8 165

65 + 2,597 2,084 294 51 11 157




Table 5.3.c (continued)

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Sex and age group

Language capability


Female 40,803 17,709 4,829 2,917 561 14,787

6-9 5,612 3,356 365 950 105 836

10-14 6,286 1,588 370 1,139 175 3,014

15-19 4,614 610 326 224 66 3,388

20-24 3,097 410 381 99 44 2,

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