· ii contents foreword...

i

Draft

Republic of Timor-Leste

Timor-Leste Agriculture Census

2019

National Report on

Final Census Results

General Directorate of Statistics, Ministry of Finance

In collaboration with the

Ministry of Agriculture, Forestry and Fisheries

April 2020

ii

Contents

FOREWORD ..................................................................................................................................... iv NATIONAL COMMITTEE FOR THE TIMOR LESTE AGRICULTURE CENSUS 2019 ............................. vi TECHNICAL COMMITTEE FOR THE TIMOR LESTE AGRICULTURE CENSUS 2019 ......................... viii PUBLICITY COMMITTEE FOR THE TIMOR LESTE AGRICULTURE CENSUS 2019 ............................ ix SUMMARY INDICATORS ................................................................................................................... x GRAPHS/CHARTS/TABLES PRESENTED ......................................................................................... xiv LIST OF DETAILED APPENDIX TABLES ........................................................................................ xvii ACRONYMS AND ABBREVIATIONS ................................................................................................. xix CHAPTER ONE: SCOPE, COVERAGE AND METHODOLOGY ............................................................ 20

INTRODUCTION....................................................................................................................... 20 OBJECTIVE ............................................................................................................................. 20 APPROACH .............................................................................................................................. 20 CENSUS SCOPE ....................................................................................................................... 21 GEOGRAPHICAL COVERAGE .................................................................................................. 22 REFERENCE PERIOD ............................................................................................................... 22 FRAME .................................................................................................................................... 22 SURVEY PROCEDURE.............................................................................................................. 22 ADVOCACY PLAN ................................................................................................................... 23 SAMPLE DESIGN FOR AREA MEASUREMENT ......................................................................... 23 FIELD OPERATIONS ................................................................................................................ 23 FIELD PERSONNEL.................................................................................................................. 23 RECRUITMENT........................................................................................................................ 24 COORDINATORS ..................................................................................................................... 24 IT PERSONNEL ........................................................................................................................ 24 SUPERVISORS.......................................................................................................................... 24 ENUMERATORS ....................................................................................................................... 24 GPS TAKERS .......................................................................................................................... 24 TRAINING OF STAFF ............................................................................................................... 24 DATA CAPTURE AND PROCESSING ......................................................................................... 25

CHAPTER TWO: AGRICULTURAL HOLDINGS AND LAND TENURE ................................................. 26 HOUSEHOLD AGRICULTURAL HOLDINGS .............................................................................. 26 HOUSEHOLD AGRICULTURE HOLDING AND TYPE ................................................................. 27 NUMBER AND SIZE OF AGRICULTURAL HOLDINGS ............................................................... 28 AREA AND SIZE OF HOUSEHOLD AGRICULTURAL HOLDING ................................................. 29 PARTITIONING OF HOUSEHOLD AGRICULTURAL HOLDINGS INTO PARCELS........................ 30 LAND USE OF PARCELS .......................................................................................................... 32 LAND TENURE OF PARCELS ................................................................................................... 32 INSTITUTIONAL FARM HOLDINGS .......................................................................................... 33

CHAPTER THREE: CROP CULTIVATION......................................................................................... 36 CROPS GROWN ....................................................................................................................... 36 HOUSEHOLD AGRICULTURE HOLDING BY AREA CULTIVATED ............................................. 37 CROPS GROWN AND AREA CULTIVATED ............................................................................... 38 METHOD OF PLANTING .......................................................................................................... 38 TYPE OF PLANTING ................................................................................................................ 38 EQUIPMENT AND MACHINERY USED...................................................................................... 39 TYPE OF TILLAGE PRACTICE USED ON HOLDING ................................................................. 40

iii

SOURCE OF POWER USED FOR TILLAGE ................................................................................ 41 USE OF IRRIGATION AND MAIN SOURCE................................................................................ 41 IRRIGATION USE AND MAIN METHOD ................................................................................... 42 USE OF IRRIGATION AND MAIN PAYMENT METHOD ............................................................. 43 FERTILIZER USE ..................................................................................................................... 43 FERTILIZER USED IN CROPS .................................................................................................. 44 PLANT PROTECTION PRACTICES ........................................................................................... 44 CROPS UNDER PLANT PROTECTION ....................................................................................... 44 USE OF SEED/ PLANTING MATERIAL AND SOURCES .............................................................. 45 AGRICULTURAL EXTENSION SERVICES ................................................................................. 46

CHAPTER FOUR: LIVESTOCK AND POULTRY REARING................................................................. 48 LIVESTOCK AND POULTRY ..................................................................................................... 48 TYPE OF LIVESTOCK /POULTRY BY SIZE CLASS .................................................................... 49 NUMBER OF LIVESTOCK OWNED............................................................................................ 50 CATTLE, BUFFALO, PIG AND GOAT........................................................................................ 51 CHICKENS AND DUCKS ........................................................................................................... 53 VETERINARY SERVICES ......................................................................................................... 54 SOURCE OF VETERINARY SERVICES ...................................................................................... 54 MACHINERY AND EQUIPMENT ............................................................................................... 55

CHAPTER FIVE: FISHING AND AQUACULTURE .............................................................................. 56 FISHING .................................................................................................................................. 56 TYPE OF VESSEL USED ........................................................................................................... 57 MAIN PURPOSE OF FISHING ................................................................................................... 58 AQUACULTURE ....................................................................................................................... 58 PRODUCTION FACILITY.......................................................................................................... 59 MACHINERY AND EQUIPMENT USED FOR FISHING AND AQUACULTURE ............................... 60 HIRED WORKERS ENGAGED IN AGRICULTURE ..................................................................... 61 TERMS OF PAYMENT TO HIRED LABOR ................................................................................. 63

CHAPTER SIX: AGRICULTURAL HOUSEHOLDS AND POPULATION ................................................ 65 HOUSEHOLDS ......................................................................................................................... 65 POPULATION BY AGE GROUP ................................................................................................. 65 RELATIONSHIP TO HOUSEHOLD HEAD .................................................................................. 66 EDUCATION ATTAINMENT ..................................................................................................... 66 STATUS OF MAIN ECONOMIC ACTIVITY ................................................................................ 67 INDUSTRY OF ACTIVITY ......................................................................................................... 68 OCCUPATION .......................................................................................................................... 69

APPENDIX 1: DETAILED TABLES .................................................................................................... 71

iv

FOREWORD

I have the great pleasure to present the National Report on the Final Results of the first ever Timor Leste

Census of Agriculture (TLAC), conducted in 2019. These results provide a detailed portrait of Timor

Leste’s agriculture sector, based on data collected from farm households, farm institutions and Suco chiefs,

using three questionnaires. This report uses the TLAC 2019 to provide a national overview of key features

of our country’s agricultural sector, with additional reports expected in due course.

The entire data covers about 213.42 thousand households with 1.21 million persons, and detailed

agricultural data collected from the 141.41 thousand agriculture households in Timor Leste in 2019.

The release of the Final Results of the first TLAC 2019 marks a first important stage in the statistical

history in Timor Leste, and builds on other firsts. In Asia and the Pacific, Timor Leste is one of the first

countries to implement an agriculture census using the methodology of the 2020 round of the World

Census of Agriculture (WCA2020). We are also among the first in the region to use tablets, digital

questionnaires, and hand-held GPS devices for data collection.

I would like to express my deep gratitude to the Prime Minister of the Timor Leste for his steadfast support,

which enabled these innovations and successful completion of the census. It was my privilege and pleasure

to function as Chairman of the National Census Committee.

I would like to thank the members of the National Census Committee and of the Capital and

Municipality Governors for their collaboration and support. Our thanks are due also to the Press, the

Radio and the TV who played a very important role in census publicity.

On behalf of the Government of Timor Leste, I would like to thank FAO, and development partners of

the UN for providing financial and technical assistance to the TLAC 2019. My deep appreciation goes to

all the Directorate General Statistics (GDS) staff and officers of the Ministry of Agriculture, Forestry

and Fisheries involved in various stages of the census for their efforts, support and good work in making

the census a success.

The major share of the credit for the success of the TLAC 2019, however, is reserved for the peoples of

Timor Leste, who shared information about themselves and their agricultural activities. It also goes to

the hardworking officers who implemented TLAC2019, including enumerators, supervisors, Suco chiefs,

and municipality census officers of GDS, the Ministry of Planning Finance and the Ministry of

Agriculture, Forestry and Fisheries.

I extend my deep appreciation to Secretary of the Ministry of Planning and Director General of GDS and

all staff in the core technical working group for their effort in making the census a success.

I hope that Ministries, institutions, organizations, international agencies, researchers, policy makers and

the public will find this report useful.

v

Dili, April 2020

Dra. Sara Lobo Brites Eng. Joaquim Jose Gusmao Martins

Acting Minister of Finance Minister for Agriculture and Fisheries

vi

NATIONAL COMMITTEE FOR THE TIMOR-LESTE AGRICULTURE CENSUS 2019

THE STERRING COMITEE HAVE THE FOLLOWING MEMBERS :

1. THE PRIMER MINISTER, AS CHAIR;

2. THE MINISTER OF FINANCE, AS VICE-CAHIR I;

3. THE MINISTER OF AGRICULKTURE AND FISHERIES, AS VICE-CHAIR II;

4. THE MINISTER OF STATE ADMINISTRATION;

5. THE MINISTER OF PLANNING AND STRATEGIC INVESTMENT;

6. THE MINISTER OF COMMERCE, INDUSTRY AND ENVIROMENT;

7. THE MINISTER OF SOCIAL SOLIDARITY AND INCLUSION;

8. THE MINISTER OF HELATH;

9. THE MINISTR OF JUSTICE;

10. THE MINISTRY OF INTERIOR;

11. THE SECRETARY OF STATE FOR THE SUPPORT AND SOCIAL ECONOMICAL PROMOTION ABND

WORMEN;EQUALITY AND INCLUSION

12. THE SECRETARY OF STATE FOR SOCIAL COMMUNICATION;

13. THE SECRETARY OF STATE FOR EMPLOYMENT POLICY AND VOCATIONAL TRAINNING;

14. THE CHAIR AND THE VICE-CHAIR FOR THE TEHCNICAL COMMITTEE.

viii

TECHNICAL COMMITTEE FOR THE TIMOR LESTE AGRICULTURE CENSUS 2019

The technical Committee have the following members:

1. The Director General os Statistics, Ministry of Finance, as a chair; 2. The Secretary General of the Ministry of Agriculture and Fisheries, as Vice-Chair I; 3. The Director General of Adminsitration Decentralization, as Vice-Chair II; 4. The Director General of State Finance; 5. The Director General of Livestock and Veterinary; 6. The Director General of Agriculture; 7. The Director General of Foresty, Coffee and Industrial Plants; 8. The Director General of Fisheries; 9. The Director General of Operational Service from Minister of Interior; 10. The Director General from Secretary of State for Employment Policy and Vocational

Trainning; 11. The Director General from the Secretary of State for the Support and Social Economic

Promotion of WomenIquality and Inclusion; 12. The National police of Timor-Leste General Commander; 13. The Minister pf Agriculture and Fisheries Regional Directors; 14. The Regional Secretary of Agriculture and Rural Development for RAEOA; 15. The National Director of Land, Property and Cadastral Services;

ix

PUBLICITY COMMITTEE FOR THE TIMOR LESTE AGRICULTURE CENSUS 2019

The Publicity committee has the following members:

1. The National Director of Systems and Reports, as Chair;

2. The Chief Department of ALGIS, Agro-Meterology and Statistics, as Vice-Chair;

3. The Minister of Agriculture and Fisheries, focal point for Statistics;

4. The Minister of Agriculture and Fisheries, focal point for information technology;

5. The Minister of Agriculture and Fisheries, focal point for communication;

6. The Minister of Finance, focal point of the Communication and Information office;

7. The Secretariat of State for Social Comuniaction’s focal point;

x

SUMMARY INDICATORS

Household Agricultural Holdings

The TLAC 2019 utilized three questionnaires for the agriculture census. Form-1 was used in the listing

phase, in which households and institutions were enumerated on a census basis. Form-2 and Form-3

were used for detailed data collection, and implemented almost simultaneously. Form-2, administered

to farm households and farm institutions, collected data on the agricultural activities of farm households

and farm institutions. Form-3, administered to the village (suco) leaders, collected information on suco

particulars, such as suco level infrastructure, calamities/disasters, and economic activities.

Below the level of the municipality, the country is composed of two administrative units with the

smallest unit of administration defined as the village (suco), followed by the sub-municipality. Timor

Leste’s 452 villages are clustered within 64 sub-municipalities, which are grouped within 13

municipalities. Some of the key estimates obtained from the TLAC 2019 are presented below for the

country as a whole.

LISTING STAGE: LISTING OF HOUSEHOLDS AND INSTITUTIONS

Number of enumeration areas (EAs) enumerated 2237

Total population enumerated 1 208 070

Total number of households listed 213 417

Total number of agriculture household holdings listed 141 141

Total number of farm institutions listed 597

AGRICULTURAL HOLDINGS AND LAND TENURE

Number of households listed with agricultural holdings (engaged in growing of crops on at

least 0.02 ha and/or with minimum of 2 large livestock, and/or 3 small livestock and/or 10

poultry)

141 141

Total area of all household agricultural holdings including homesteads (thousand hectare) 2 16.2

Total institutional holdings listed 579

Total area (ha.) of institutional farm holdings 3 070

Percentage of households with agricultural holdings to total households listed 66%

Percentage of households engaged in growing of crops on agricultural lands to total

households with agricultural activities 90%

Number of households engaged only in fishing activity at least for 15 days during last

months prior to the day enumeration 3 632

Number of households engaged only in aquaculture activity at least for 15 days during last

months prior to the day enumeration 2 069

Number of individual household agriculture holdings 98%

Number of joint household agriculture holdings 2%

Percentage of household agriculture holdings operated by males 85%

Percentage of household agriculture holdings operated by females 15%

Average number of parcels per household agricultural holding 1.5

Percentage of household agricultural holdings with 1 to 3 parcels 95%

Average area per parcel in household agricultural holding 1.01 ha.

xi

Average area of household agricultural holding: Timor Leste

i) Operated by male holders

ii) Operated by female holders

1.53ha.

1.55ha.

1.43ha.

Percentage of household agricultural holdings of size less than 1 ha from the total of

household agricultural holdings 66%

Percentage of area occupied by household agricultural holdings of size less than 1 ha from

the total area of household agricultural holdings 8%

Percentage of household agricultural holdings of size 10 ha or more from the total of

household agricultural holdings 2%

Percentage of land area occupied by household agricultural holdings of size 10 ha or greater

from the total area of household agricultural holdings 52%

Percentage of household agricultural holdings in which temporary crops grown 70%

Percentage of household agricultural holdings in which permanent crops grown 45%

Percentage of parcels of agricultural household holdings owned

(with certificate from Portuguese, or from Indonesia, or with other numero referensia or

certificate, or owned without certificate)

96%

CROP CULTIVATION

Gross cultivated area (ha.) of household agricultural holdings during the reference period 509 226.5

Percentage of area (gross) planted to temporary crops/plants only from the total area of

household agricultural holdings

23.2%

Percentage of area (gross) planted to permanent crops/plants only from the total area planted

to cereal and grain crops 3.9%

Percentage of area (gross) planted to both temporary and permanent crops/plants from the

total area planted to cereal and grain crops 62.9%

Percentage of area (gross) planted to corn crop from the total cultivated area of household

agricultural holdings 18.0%

Percentage of area (gross) planted to rice crop from the total cultivated area of household


Percentage of area (gross) planted to cassava crop from the total cultivated area of

household agricultural holdings 7.4%

Percentage of area (gross) planted to coffee crop from the total cultivated area of household


Percentage of area (gross) under scatter planting/cropping from the total cultivated area of


Percentage of area (gross) under mixed cropping/planting from the total cultivated area of


Percentage of area (gross) under monoculture from the total cultivated area of household


Percentage of household agricultural holdings reporting cultivation did not till their land 51%

Of them who tilled their land:

Percentage of holdings did conventional tillage

Percentage of holdings tilled land with manual power

Percentage of holdings tilled land with machine power

67%

63%

33%

xii

Percentage of household agricultural holdings irrigated land 20%

Percentage of household agricultural holdings irrigated land using surface water 68%

Percentage of household agricultural holdings irrigated land using surface and/or

underground water 25%

Percentage of household agricultural holdings irrigated land using ‘natural flow irrigation’

method 53%

Percentage of household agricultural holdings irrigated land free of any charge 79%

Percentage of agricultural household holdings reported to use fertilizers 6%

Percentage of agricultural household holdings reported to use inorganic fertilizers from all

households reported to use fertilizers 37.5%

Percentage of agricultural household holdings reported to use organic fertilizers from all


Percentage of agricultural household holdings reported to use bio-fertilizer from all


Percentage of agricultural household holdings reported use of some type of plant protection 6%

Percentage of agricultural household holdings reported reported source of self-produced

seed/material from those reported use of seeds/planting materials 91%

Percentage of agricultural household holdings reported source of government seed/material

from those reported use of seeds/planting materials 1%

Percentage of agricultural household holdings received or accessed information on

agricultural extension services 12%

Of them from: Government 53.5%

Radio 55.7%

Television 50.8%

Other farmers 45.9%

NGO 45.0%

LIVESTOCK AND POULTRY REARING

Percentage of agricultural households keeping or raising livestock and/or poultry to total

number of agricultural households 95%

Among those households keeping or raising livestock:

Percentage of agricultural households keeping or raising large livestock

Percentage of agricultural households keeping or raising small livestock

Percentage of agricultural households keeping or raising poultry

62%

92%

82%

Percentage of agricultural households keeping and raising pigs from all households keeping

and raising small livestock 74%

Percentage of agricultural households keeping and raising 2 or more large animals from total

agricultural households keeping and raising large livestock 75%

Average number of livestock and poultry birds raised or kept per agricultural households

keeping or raising livestock and/or poultry 16.9

Average number of large head livestock raised or kept per agricultural households keeping

or raising livestock and/or poultry 3.4

Average number of small head livestock raised or kept per agricultural households keeping

or raising livestock and/or poultry 4.9

Average number of Pig (Fahi) raised or kept per agricultural households keeping or raising

livestock and/or poultry 3.4

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Average number of poultry birds raised or kept per agricultural households keeping or

raising livestock and/or poultry 8.6

Percentage of agricultural households rearing less than 10 poultry birds from total

agricultural households keeping or raising poultry 57%

Percentage of agricultural households rearing 50 or more poultry birds from total

agricultural households keeping or raising poultry 2%

Percentage of Agricultural Households reporting use of any of the veterinary services from

total agricultural households keeping or raising poultry 6%

FISHING AND AQUACULTURE

Number of households engaged in fishing and/or aquaculture from listed households 7 768

Number of households engaged in fishing from the agriculture households 4 405

Percentage of agriculture households engaged in fishing pursued the activities for few days

to few weeks during the last 12 months prior to the day of enumeration 48%

Percentage of agricultural households engaged in fishing who did not use any vessel for

fishing 25%

Percentage of agricultural households engaged in fishing mainly to meet household

consumption and occasional needs from the total number of households engaged in fishing 60%

Number of households engaged in aquaculture from listed households 3 813

Number of households engaged in aquaculture from agriculture households 4 543

Percentage of agriculture households engaged in aquaculture pursued the activities for few

days to few weeks during the last 12 months prior to the day of enumeration 56%

AGRICULTURAL HOUSEHOLDS AND POPULATION

Estimated population of households with agricultural holdings 764 216

Sex ratio (no. of females per 1000 males) among population of households with agricultural

holdings 986

Average size of an agriculture household 5.4

Percentage of male heads to total male population 29%

Percentage of female heads to total female population 6%

Percentage of agricultural population of 3 years or more reported no schooling: 30%

Among males 28%

Among females 33%

Percentage of agricultural population of 3 years or more completed secondary and above

level of education 20%

Percentage of agricultural population of 10years or more worked during last 7 days prior to

the day of enumeration: 32%

Among males 50%

Among females 13%

xiv

GRAPHS/CHARTS/TABLES PRESENTED

Table 2.1 Number of household and institutional agricultural holdings and area (ha.): Timor Leste

Fig. 2.1 Number of household agricultural holdings enumerated by type of holding: Timor Leste

Fig. 2.2 Number of household agricultural holdings enumerated sex of holder: Timor Leste

Fig. 2.3M Number of household agricultural holdings enumerated by type of holding and

Municipality

Fig. 2.4M Total area (ha.) of household agricultural holdings enumerated by Municipality

Fig. 2.5 Number of household agricultural holdings enumerated by size class of holding: Timor

Leste

Fig. 2.6 Percentage of area (ha) of household agricultural holdings by size class of holdings: Timor Leste

Fig. 2.7M Average area (ha.) of household agriculture holding by municipality

Fig. 2.8 Percentage of household agricultural holdings by group of parcels: Timor Leste

Fig. 2.9 Average area (ha.) of parcel of household agriculture holding by municipality

Fig. 2.10 Percentage of parcels in household agriculture holdings by land use: Timor Leste

Fig. 2.11 Percentage of parcels of household agricultural holdings by land tenure: Timor Leste

Fig. 2.12M Percentage of parcels of household agricultural holdings owned by the holders, by

Municipality

Fig. 2.13 Number of institutional farm holdings and area (ha) by size class of farm holding: Timor Leste

Table 2.2M Number of institution agricultural holdings by size of the agricultural holding by

Municipality

Table 2.3M Area (Ha) of Institution agricultural holdings by size of the agricultural holding by Municipality

Fig. 3.1 Percentage of household agriculture holdings cultivated crops/plants during last 12

months prior to the date of enumeration by type of crops/plants: Timor Leste

Fig. 3.2M Number of household agriculture holdings reporting cultivation of crops/plants during last 12 months prior to the date of enumeration by type of crops/plants, Municipality

Fig. 3.3 Percentage of household agriculture holdings cultivated crops/plants by size class of

area (ha.) cultivated: Timor Leste

Fig. 3.4 Percentage of gross area used for thirteen major crops/ plants cultivated during last 12 months prior to the date of enumeration: Timor Leste

Fig. 3.5M Percentage of cultivated area of household agriculture holdings by method of planting:

Timor Leste

Fig. 3.6M Percentage of cultivated area of household agriculture holdings by type of planting: Timor Leste

Fig. 3.7 Number of agricultural households reporting use of machine and equipment during last

12 months prior to the date of enumeration: Timor Leste

Fig. 3.8M Percentage of household agriculture holdings cultivated land by type of tillage practice used: Timor Leste

Fig. 3.9M Percentage of household agriculture holdings cultivated land by source of power used

for tillage: Timor Leste

Fig. 3.10 Percentage of household agriculture holdings reporting irrigation by main source of irrigation water during last 12 months prior to the date of enumeration: Timor Leste

Fig. 3.11 Percentage of household agriculture holdings reporting irrigation by method of

irrigation water during last 12 months prior to the date of enumeration: Timor Leste

Fig. 3.12 Percentage of household agriculture holdings reporting irrigation by main payment term of irrigation water during last 12 months prior to the date of enumeration: Timor Leste

xv

Fig. 3.13 Percentage of agricultural households reporting use of fertilizer by type of fertilizer used during last 12 months prior to the date of enumeration: Timor Leste

Fig. 3.14 Percentage of Household Agricultural Holdings reporting use of plant protection

practices during last 12 months prior to the date of enumeration by type of plant

protection practices

Fig. 3.15 Percentage of household agricultural holdings used seed/planting material from those

used seeds/planting materials by type of seed/planting material used during last 12

months prior to the date of enumeration: Timor Leste

Fig. 3.16 Percentage of Household Agricultural Holdings used seed/planting material from those used seeds/planting materials by source of seed/planting material during last 12 months

prior to the date of enumeration: Timor Leste

Fig. 3.17 Percentage of Household Agricultural Holdings reporting that Received/Accessed

Agricultural Information during last 12 months prior to the date of enumeration by Source of Agricultural Information: Timor Leste

Fig. 4.1 Number of Agricultural Households Owning any Livestock on the day of enumeration

by Municipality

Fig. 4.2 Percentage of agriculture households owning large livestock on the day of enumeration by size class of large livestock: Timor Leste

Fig. 4.3 Percentage of agriculture households owning small livestock on the day of enumeration

by size class of small livestock: Timor Leste

Fig. 4.4 Percentage of agriculture households owning poultry on the day of enumeration by size class of poultry: Timor Leste

Fig. 4.5M Total Number of livestock and/or poultry owned on the date of enumeration: Timor

Leste

Fig. 4.6aM Total number of cattle (Karau Vaka & Karau Vaka Susuben) owned on the date of enumeration by Municipality

Fig. 4.6bM Total number of buffalo (Karau Timur) owned on the date of enumeration by

Municipality

Fig. 4.6cM Total number of pigs (Fahi) owned on the date of enumeration Municipality

Fig. 4.6dM Total number of goat (Bibi Timur) owned on the date of enumeration by Municipality

Fig. 4.6e Total number of chicken (Manu Lokal) owned on the date of enumeration by

Municipality

Fig. 4.6f Total number of duck (Manu Rade) owned on the date of enumeration Municipality

Fig. 4.7 Percentage of agriculture households reporting any use of veterinary services by type of

livestock: Timor Leste

Fig. 4.8 Percentage of agriculture households reporting any use of veterinary services during

last 12 months prior to the day of enumeration by source of use: Timor Leste

Fig. 5.1 Percentage of agricultural households engaged in fishing activity during last 12 months

prior to the day of enumeration by degree of participation: Timor Leste

Fig. 5.2M Number of agricultural households engaged in fishing activity during last 12 months

prior to the day of enumeration by municipality

Fig. 5.3 Percentage of agricultural households reporting use of vessel for fishing during last 12

months prior to the day of enumeration by type of vessel used: Timor Leste

Fig. 5.4 Percentage of agricultural households engaged in fishing during last 12 months prior to

the day of enumeration by main purpose of fishing: Timor Leste

Fig. 5.5 Percentage of agricultural households engaged in aquaculture activity during last 12

months prior to the day of enumeration by degree of participation: Timor Leste

Fig. 5.6 Number of agricultural households engaged in aquaculture activity during last 12 months prior to the day of enumeration by municipality

Fig. 5.7 Percentage of aquaculture production facilities used during last 12 months prior to the

day of enumeration by type production facility: Timor Leste

xvi

Fig. 5.8 Number of agricultural households reporting use of machine and equipment during last 12 months prior to the day of enumeration for fishing and aquiculture: Timor Leste

Fig. 5. 9 Percentage of workers hired by agriculture households during last 12 months prior to

the day of enumeration by average number of days worked: Timor Leste

Fig. 5.10M Number of workers hired by agriculture households during last 12 months prior to the day of enumeration by municipality

Fig. 5.11M Number of workers hired by average number days worked during last 12 months prior

to the day of enumeration by municipality

Fig. 5.12 Percentage of hired workers by main payment terms during last 12 months prior to the day of enumeration: Timor Leste

Fig. 5.13M Number of hired workers by main payment terms during last 12 months prior to the

day of enumeration by municipality

Fig. 6.1M Population of agriculture households by municipality

Fig. 6.1 Percentage of population of agriculture households by age-group (yrs.): Timor Leste

Fig. 6.3 Percentage of population (3 yrs. +) of agriculture households by education level: Timor

Leste

Fig. 6.4 Percentage of population (10 yrs.+) of agriculture households by status of main

economic activity: Timor Leste

Fig. 6.5 Percentage of working Population (10 yrs.+) of agriculture households by industry of

activity: Timor Leste

Table 5.1 Percentage of working population (10 yrs.+) of agriculture households by industry of activity: Timor Leste

Fig. 6.6: Percentage of working population (10 yrs.+) of agriculture households by occupation:

Timor Leste

xvii

LIST OF DETAILED APPENDIX TABLES

Table No. Description of Tables Page

No.

Table A.1 Number of EAs as per PH Census 2015, number of EAs enumerated, number of farm

households listed, total population enumerated, number of farm households listed,

total farm population enumerated, number of institutions listed and number of farm institutions listed by Municipality/Sub-municipality: TLAC 2019

Table A.2 Number of agricultural households enumerated by type of agricultural activities

undertaken for each Municipality/Sub-municipality: TLAC 2019

Table A.3 Number of household agricultural holdings enumerated by type of holding and sex of holder for each Municipality/Sub-municipality: TLAC 2019

Table A.4 Number of household agricultural holdings by size of the agricultural holding, sex

of holder, by Municipality/ Sub-municipality: TLAC 2019

Table A.5 Area (Ha) of household agricultural holdings by Size of the agricultural holding, sex of holder, by Municipality/ Sub-municipality: TLAC 2019

Table A.6 Number of household agricultural holdings by group of parcels, sex of holder by

Municipality/ Sub-municipality: TLAC 2019

Table A.7 Area (Ha) of household agricultural holdings by group of parcels, sex of holder by Municipality/ Sub-municipality: TLAC 2019

Table A.8 Number of parcels in household agricultural holdings by type of land use , Sex of

Holder by Municipality/ Sub-municipality: TLAC 2019

Table A.9 Area(Ha) of Parcels in household agricultural holdings by type of land use , sex of holder by Municipality/ Sub-municipality: TLAC 2019

Table A.10 Number and area (Ha) of parcels of household agricultural holdings by land tenure,

by sex of holder, by Municipality/ Sub-municipality: TLAC 2019

Table A.11 Number of household agricultural holdings involved in cultivation of crops/plants/trees by type of crops cultivated by Municipality/ Sub-municipality:

TLAC 2019

Table A.12 Number of household agricultural holdings cultivated crops/plants/trees during last

12 months by size-class of cultivated area, by Municipality/ Sub-municipality: TLAC 2019

Table A.13 Total area (in hectares) used for crops/plants/trees during last 12 months by size-

class of cultivated area, by Municipality/ Sub-municipality: TLAC 2019

Table A.14 Total area (in hectares) used for crops/plants/trees during last 12 months by crop/tree/plants, size-class of cultivated area by type of crop/plant cultivated:

TLAC 2019

Table A.15 Total area (in hectares) used for crops/plants/trees during last 12 months by crop/tree/plants, method and type of planting by Municipality: TLAC 2019

Table A.16 Number of Household Agricultural Holdings by type of tillage practice used and

source of power used for tillage on the holding in the last 12 months, by


Table A.17 Number of households with agricultural holdings reporting irrigation by main

source of irrigation water, main method of irrigation and main payment term on the

holding in the last 12 months, by Municipality/ Sub-municipality: TLAC 2019

Table A.18 Number of household agricultural holdings reporting use of fertilizer by type of fertilizer and crop: TLAC 2019

Table A.19 Number of household agricultural holdings reporting use of plant protection

practices by type of plant protection practices , by crop: TLAC 2019

Table A.20 Number of household agricultural holdings reporting use of seed/planting material and their sources by crop: TLAC 2019

xviii

Table A.21 Number of household agricultural holdings that received/accessed agricultural information in the last 12 months, by source of agricultural information, by


Table A.22 Number of agricultural households owning livestock as on the date of enumeration

by type of livestock, Municipality/ Sub-municipality: TLAC 2019

Table A.23 Number of agricultural households owning livestock as on the date of enumeration

by size class of large livestock, by Municipality/ Sub-municipality: TLAC 2019

Table A.24 Total number of livestock owned as on the date of enumeration by type, by


Table A.25 Number of agricultural households reporting use of any of the veterinary services

by type of veterinary service and source of service received, by type of livestock

during last 12 months prior to the date of enumeration, by Municipality: TLAC

2019

Table A.26 Number of agricultural households engaged in fishing activity during last 12

months prior to the date of enumeration by degree of participation, Municipality/

Sub-municipality: TLAC 2019

Table A.27 Number of agricultural households engaged in fishing activity during last 12 months prior to the date of enumeration by type of vessel used for fishing by


Table A.28 Number of agricultural households engaged in fishing activity during last 12 months prior to the date of enumeration by main purpose of fishing by


Table A.29 Number of agricultural households engaged in aquaculture activity during last 12

months prior to the date of enumeration by degree of participation by Municipality/ Sub-municipality: TLAC 2019

Table A.30 Number of agricultural households engaged in own-account aquaculture activities

during the past 12 months by type of production facility used, by Municipality/ Sub-

municipality: TLAC 2019

Table A.31 Number of agricultural households reporting use and number of machinery and

equipment used by agricultural households in the last 12 months by source and

stock as on the date of enumeration: TLAC 2019

Table A.32 Number of hired labors by average number of days worked by Municipality/Sub-municipality: TLAC 2019

Table A.33 Number of hired labors by main form of payment to hired labour by

Municipality/Sub-municipality: TLAC 2019

Table A.34 Population of agricultural households by relationship to head of household, Sex by Municipality/ Sub-municipality: TLAC 2019

Table A.35 Total population of agricultural households by 5-year age group, sex by


Table A.36 Population(3 years +) of agricultural households by education level, sex by


Table A.37 Population (10+ years) of agricultural households by status of main economic

activity, sex by Municipality/ Sub-municipality: TLAC 2019

Table A.38 Working population (10+ years) of agricultural households by sector of activity

(industry), sex by Municipality/ Sub-municipality: TLAC 2019

Table A.39 Working Population (10+ Years) of Agricultural Households by Occupation, Sex

by Municipality/ Sub-municipality: TLAC 2019

xix

ACRONYMS AND ABBREVIATIONS

CAPI Computer Assisted Personal Interviewing

CSS Circular Systematic Sampling

GDP Gross Domestic Product

GDS General Directorate of Statistics

GPS Global Positioning System

EA Enumeration Area

FAO Food and Agriculture Organization of the United Nations

FAOSTAT FAO statistics portal

MAFF Ministry of Agriculture, Forestry and Fisheries

MOF Ministry of Finance

NCCA National Committee for the Census of Agriculture

TCCA Technical Committee for the Census of Agriculture

PHC Population and Housing Census

TLAC Timor Leste Agriculture Census

UNFPA United Nations Population Fund

USAID United States Agency for International Development

UNSD United Nations Statistics Department

UNW UN Women

WCA World Census of Agriculture

WF World Fish

20 | P a g e

CHAPTER ONE: SCOPE, COVERAGE AND METHODOLOGY

INTRODUCTION The Census of Agriculture of Timor Leste, conducted in 2019 (TLAC2019), was a comprehensive statistical

undertaking for the collection and compilation of information on crop cultivation, raising of livestock and

poultry, and fishing and aquaculture activities. The data collected and generated from this census provides

necessary evidence for the formulation of plans, policies and programs to develop and improve the

agriculture and fisheries sectors in the Timor Leste (TL). TLAC2019 was the first census of agriculture

conducted in the Timor Leste, one of the first agriculture censuses conducted in Asia and the Pacific under

the 2020 round of the World Census of Agriculture (WCA), and one of the first in the region to use computer

assisted telephone interviewing (CAPI) and hand-held GSP instruments for land area measurement.

The General Directorate of Statistics (GDS) of the Ministry of Finance, and the Ministry of Agriculture,

Forestry and Fisheries (MAFF), were the responsible government ministries authorized to undertake the

TLAC 2019. While GDS had the mandate to conduct the census, MAFF was the primary user of the data

produced from the census.

OBJECTIVE The main objective of the TLAC 2019 was to provide structural data on Timor Leste’s agriculture sector

and temporal data on the agricultural situation in the country, to serve as the base for evidence-based

program and policy development and monitoring. . Specifically, the census provides:

1. Data on the current structure of the country’s agricultural holdings, including crop production, livestock

rearing, and poultry, fishery and aquaculture activities;

2. Data at the smallest administrative unit in the country; and, 3. A sampling frame to conduct future agricultural surveys;

The summary statistical tables annexed to this report present overview of findings at the national, municipal

(district) and sub-municipal (sub-district) levels. In addition, there is a very large and detailed data set

accurate to village (suco) level, accessible through GDS. Agriculture census questionnaires, available from

the GDS website, provide more detailed information on its full scope and. These data create the potential

for a wide range of analyses to be conducted that are well beyond the scope of this report.

APPROACH The methodology used for data collection built on the FAO guidelines of the 2020 round of the World

Census of Agriculture (WCA2020), covering all recommended core items and additional information

necessary to inform Timor’s Leste’s agriculture sector research, programme and policy planning needs. The

broad data collection approach for the TLAC was to identify and approach all agricultural households in

all of Timor Leste. Census enumerators were trained and mobilized in all municipalities for this massive

undertaking. Of the 213 thousand households in Timor Leste, 141.1 thousand were identified as agricultural

holders according to the pre-requisite conditions for operating a minimum cropping area of 0.02 ha and/or

raising at least 2 large livestock and/or 3 head of small livestock and/or a minimum of 10 poultry.

21 | P a g e

These 141.1 thousand agriculture households, also known as agriculture household holdings, collectively

operated 214.5 thousand parcels and 216.2 thousand hectares of land. From these households, the TLAC

collected basic information on household characteristics, the nature of their holdings and their agricultural

activities. In addition, the TLAC2019 sampled a subset of the holdings to measure parcel and plot areas

using GPS devices under a Circular Systematic Sampling (CSS) methodology.

The census covered all households and agricultural holdings in Timor-Leste using three census

questionnaire forms. Form 1 listed all households, institutional farms such as corporations (company),

religious /non-profit institutions (e.g. church, trust), cooperatives/community farms (group activity), and

government institutions engaged in farming. Form 2 (Household/Institutional Questionnaire) collected

detailed data on agricultural farm households and their farm activities from both household and non-

household farms. Moreover, Form 2 also canvassed households engaged in fishing and/or aquaculture

activities during the last 12 months prior to the day of enumeration, even if the household neither cultivated

land nor raised/kept any livestock during this period. Form 3 collected data on the different physical

attributes of the suco (village), such as topography, type of soil and natural disasters, as well as available

local infrastructure, such as schools, hospitals, transportation, agricultural machineries, and economic

activities.

Once households were identified as qualifying for inclusion in the census as agricultural households,

enumerators collected details of agricultural activities carried out during the last 12 months preceding the

day of enumeration.

CENSUS SCOPE The TLAC 2019 utilized three questionnaires for the census in both the household and institutional sectors.

The questionnaires are available at Annex 3. The scope of each questionnaire was as follows:

Form 1 – Listing Form: Collected information on the location and involvement of households and

institutions in agriculture or aquaculture activities. This form was used to identify households/institutions

qualifying for inclusion in the census by operating land used for agricultural purposes, and meeting the

minimum size thresholds (0.02 ha of agriculture land, or raising at least 2 large livestock or 3 small livestock

or 10 poultry).

Form 2 – Detail Information on the Agricultural Holding: Collected information on the location, the

respondent and the agricultural holding. Information included: the legal status of the agricultural holding;

basic characteristics of the holding such as size, number of parcels, location, actual area, main land use, and

land tenure of each parcel; use of irrigation/fertilizer/pesticides; temporary crops planted, permanent crops

planted, agricultural practices, livestock and poultry raised, and fishing/aquaculture activities;

implements/equipment and machinery used; hired labour; and the landholder’s household information in

the case of household holdings.

Information on the agricultural household included total size, names, relation to household head, sex, age,

marital status, highest level of education completed, status of employment and tasks undertaken in the

agricultural holding in the previous 12 months.

Form 3 – Suco Questionnaire: Collected information on soil types, main topographical features, incidence

of calamity or disaster, presence of agro-processing equipment, machinery and facilities, mode of transport,

22 | P a g e

availability of schools, communication facilities, health facilities, water facilities, access to roads and

presence of markets, presence of people’s organizations.

All households in the country were interviewed using Form 1 to determine their involvement in agricultural

holdings. Where a household was found to be involved in agricultural activities and qualified for inclusion,

according to the definition of an agricultural holding, the household was further interviewed using Form 2.

Detailed data in respect of agricultural holdings were collected subsequently. Actual area of parcels and

plots of holdings were measured for a sample of 20% of agricultural households, which were selected using

circular systematic sampling methods.

The data in Form-3 was collected directly from the Suco head, and will be analyzed and published

separately.

GEOGRAPHICAL COVERAGE All households in the country including its rural and urban areas were covered in the TLAC 2019, along

with the non-household institutional farms operated by a corporation (company), religious or non-profit

organization (e.g. church, trust), cooperative/community (group activity), or government..

REFERENCE PERIOD The 12-month period prior to enumeration day, which fell during 12 August 2019 to 12 Oct 2019, was

generally used as the reference period for Form 1 and Form 2. However, the reference period for some

items was different from this 12 month duration, and is thus indicated separately for data items in each

questionnaire. One example is the ownership of livestock, which was taken as of the day of enumeration.

FRAME The list of enumeration areas (EAs) and information contained in the Population and Housing Census

(PHC) 2015 was updated during the intervening period of PHC 2015 and TLAC data collection, and used

as frame in the household sector. An EA (Enumeration Area) was an area defined for the census, delimited

by natural or artificial boundaries (river, seaside, road, etc.). In an EA, nearly 90 households on an average

are located. All the EA are classified according to an EA-ID of 9 digits as: first 2-digit for municipality

followed by next 2-digit for sub-municipality, next 2-digit for suco (village), 2-digit for EA and 1-digit for

sector (rural/urban).

All households in the EAs were listed in Form 1 to collect some relevant information for identification of

farm households. Moreover, another list of corporations (company), religious/non-profit institutions,

cooperatives/community and government institutions was prepared within the EAs and all those engaged

in farming activity during the last 12 months prior to conduct of census was completely enumerated.

SURVEY PROCEDURE All data in the TLAC 2019 were collected in de facto method by a group of trained enumerators and

supervisors directly interviewing eligible members of farming households.

The respondents were any adult family member (18 years or older) of the household and knowledgeable of

the agricultural holding’s activities. The most qualified respondent was the agriculture holder. However, in

his or her absence, the spouse or any son or daughter 18 years or older, could also act as the respondent. No

household member below 18 years or neighbour or other household was interviewed or asked for the

information on the household being surveyed.

23 | P a g e

Data in the census were collected using CAPI which was developed based on standardized structured

questionnaires guided by the Instruction Manual for Field Staff, which provided detailed concepts,

definitions and procedures to be followed for collection of each item. The software for CAPI application

was developed using CSPro. The draft questionnaires and instructions manual were prepared on the basis

of recommendations from the Census Technical Committee and User-Producers Groups. The census

questionnaires and enumeration manuals were revised and finalized based on the results of a pilot census

and experiences gained during that exercise. The Instruction Manual for Field Staff was supplemented by

a set of checks on the consistency of data incorporated in the CAPI application, and in the subsequent data

validation processes.

ADVOCACY PLAN Before fieldwork commenced, a thorough advocacy plan was launched to gain the support and cooperation

of all households and non-households engaged in agricultural activities in the country. Suco (village)

leaders were enlisted to provide information locally and an awareness campaign was undertaken in the mass

media, including broadcasts on television and radio, the use of printed banners, posters and stickers on bags,

T-shirts and caps used during the census, and social media. Leaflets and pamphlets were also prepared with

explanations to such questions as: What is the Census of Agriculture in Timor Leste? What agency is

responsible for the conduct of TLAC? How essential is the TLAC 2019?

SAMPLE DESIGN FOR AREA MEASUREMENT Considering the prevailing practices and limited knowledge of farmers about the precise area of their

holding and its parcels, it was decided to measure parcels of land more precisely for a sample of households

using GPS devices. Field trials indicated that GPS-based area measurement of area of parcels and plots took

half a day per household, and thus, only 20 households per enumeration area (EA) would be sampled for

area measurement in a ten day period of data collection. A sampling rate of 20% was applied in each EA

systematically selecting one agricultural household in every five. This resulted in a sample of about 45,000

household agricultural holdings uniformly spread over the whole territory. However, these results are not

provided here, and a separate report will undertake the estimates and analysis of area of holdings and parcels

based on the sample survey.

FIELD OPERATIONS Timor Leste is divided into 13 municipalities. These municipalities are further sub-divided into 65 sub-

municipality (post-administrative) areas, which divide into 452 Sucos (Villages) and 2,352 EAs. There has

been no change in these administrative units since the 2015 PHC.

FIELD PERSONNEL The Census is usually the biggest administrative exercise in the country as detailed information in respect

of each parcel of land of the agricultural households is collected in census. A large number of persons was

required in the areas of data collection and data processing. Considering around 10% are reserved for

contingent situations, this resulted in about 1,293 enumerators, 646 GPS takers, and 646 supervisors

recruited to cover the household interviewing operations. These 1,939 enumerators and GPS takers were

supervised by the team supervisors, making 588 teams consisting of 2 enumerators and 1 GPS taker per

team supervisor. All municipalities were divided into sub-municipality area, and then sucos and EAs, as in

the last 2015 population census, and all households within EAs were interviewed. On an average, each team

24 | P a g e

covered the enumeration of four EAs in eight weeks including journey time. Each team, as far as possible,

was allotted with 4 contiguous EAs to reduce travel time between EAs.

RECRUITMENT Recruitment was done in two stages. Coordinators and supervisors were recruited from GDS/MAF staff,

while the enumerators and GPS takers were hired in selected sucos/EA.

COORDINATORS They were the officers from GDS/MAF and the collaborating institutions represented in the Census

Technical Committee, and having good understanding of the census process and instruments since their

feedback was to help greatly in evaluation and improvement of census process. GDS/MAF/Census Office

decided who the best qualified persons for the assignment were. They were involved in recruitment and

training of enumeration personnel.

IT PERSONNEL Apart from these coordinators from GDS/MAF, some core GDS officials was trained specially to handle

IT problems that might arise in the use of CAPI device in the field. They were stationed in each municipality

headquarter to oversee the problems in their respective areas. Their contact details (phone number and e-

mail address) were made available to all supervisors/enumerators/GPS takers in their respective

jurisdiction.

SUPERVISORS They had experience of imparting training and good management skills. Supervisors were selected from

GDS/MAF middle level staff.

ENUMERATORS Enumerators were required to have completed at least secondary school grade or its equivalent with good

grades, and come from the suco/ES where they were to work. Preference was given to the sub-set of this

group that also had experience using computers or Android phones. Experience in past census/surveys was

an added advantage. In areas where qualified persons could not be identified within an suco/EA then

recruitment was done from neighboring sucos. The strategy of recruiting personnel from within the selected

suco/EAs made the main work relatively easy as they were expected to be already aware about the area and

common agricultural practices of local people.

GPS TAKERS The GPS takers, like the enumerators, were recruited from the suco/EA where they were to work. They

were required to have completed at least secondary school or its equivalent with good grades. Practical

knowledge of working with GPS was deemed an advantage.

TRAINING OF STAFF Training was done in three stages. In the first stage, a training of trainers (TOT) was conducted for the

census instruments, namely, the census questionnaires, instructions manual and field work protocol. This

was followed by the training on the use of the digitized questionnaires and tablets using computer assisted

personal interviewing (CAPI) with a field trail. One of the main purposes of this training was to harmonize

concepts, procedures and issues so that it issues were identified and resolved and training was conducted

uniformly in subsequent stages.

25 | P a g e

The trainers were selected from the GDS, MAF and other line ministries with preference given to those

with experience in conducting census and surveys. These trainers provided a six-day training for the

coordinators and supervisors at the municipality level in the second stage. The TOT was facilitated by a

core group who were well trained and experienced during the conduct of pilot census.

The third stage training was for enumerators, GPS takers and team supervisors at the sub-municipality level.

In the third stage, training was also for six days and comprised of class lectures through power point

presentations, mock interviews, group discussions and field practices using the tablets and CAPI. In the

training, emphasis was on the understanding of various concepts and procedures, EA maps, enumeration

procedures, procedures of CAPI use, use of various codes given in the questionnaire, how to conduct good

interviews, and ways of dealing with non-response.

DATA CAPTURE AND PROCESSING Questionnaire data were collected in tablets using CAPI while GPS devices were used to measure a sample

of parcel and plots areas. Paper questionnaires were prepared and used in exceptional circumstances, with

the data later transferred in the CAPI application at the municipality level.

The data collected in CAPI was transferred directly from the field to GDS after completion of work of each

EA. In the process, a report was generated to enable the Census Office to monitor the progress and coverage

of data collection in respect of each EA/suco/sub-municipality/municipality. Data processing was

conducted using the CSPro software and STATA.

Data was cleaned, validated and processed, and tables generated according to a pre-decoded tabulation plan.

Edit specifications and the tabulation plan were developed based on the experience of the pilot census data

collection and processing.

26 | P a g e

CHAPTER TWO: AGRICULTURAL HOLDINGS AND LAND TENURE

The TLAC defines an agricultural holding as an economic unit under single management with at least one

of the following characteristics: a minimum of 200 square metres (0.02 ha) of land used wholly or partly

for agricultural production; a minimum of two large livestock; a minimum of three small livestock; or a

minimum of 10 poultry. Thus, an agricultural holding can be comprised of crops only, livestock only, or

poultry only. Alternatively, it can be a holding with a combination of crops, large or small livestock, or

poultry. Two broad types of agricultural holdings were identified in Timor Leste: household agricultural

holdings and institutional agricultural holdings. Institutional holdings are agricultural entities managed and

operated by a corporation (company), a religious institution/non-profit institution (e.g. church, trust),

cooperative/community (group activity), or a government institution engaged in farming. As such,

institutional holdings are considered to be in the non-household sector.

HOUSEHOLD AGRICULTURAL HOLDINGS A household agricultural holding is known as an agricultural household, and its primary residence is known

as a homestead. The activities of an agricultural household in Timor Leste are carried out: a) in a homestead

parcel only; b) on land separated from the homestead; or c) within the homestead as well as on separate

land.

About 213.42 thousand households accounting for 1.21 million people were listed in the agriculture census.

About 141.41 thousand households (66%) met the TLAC definition of an agricultural household, and

agricultural land covered a total area of 216 180 hectares. About 3632 households (1.7%) were engaged

only in fishing. That is, they neither grew any crop or plant nor they raised any livestock; but they were

engaged in fishery activities for at least for 15 days during the last 12 months and had at least one fishing

material, such as vessel, net, string, etc. Likewise, 2069 (close to 1%) households had a pond/culvert/tank

of at least 25 square meters and engaged only in aquaculture for at least 15 days during the last 12 months

prior to the day of enumeration. While the average size (number of persons living) of a household in Timor

Leste was estimated at 5.7, that of an agricultural household was marginally lower at 5.4.

In addition, 2514 institutions were listed in the census with 597 reporting that they carried out agricultural

activities, with a total estimated area used for agriculture of 3070 ha. Of them, 26 farm holdings were

corporations/companies, 273 were cooperatives, 163 were government institutions and 171 were religious

or other non-profit institutions.

Hence, the number of agricultural holdings (household and institutional) in the country was reported at 141

738, with a total area of 219 250 ha. (see Table 2.1 below).

Table 2.1 Number of household and institutional agricultural holdings and area

(ha.): Timor Leste Data Items Number Area (in

hectare) Total household agricultural holdings 141 141 216 180

Total institutional agricultural holdings 597 3070

Total agricultural holdings 141738 219 250

Source: GDS-MoF, Timor Leste Agriculture Census: 2019

27 | P a g e

HOUSEHOLD AGRICULTURE HOLDING AND TYPE Of the total 141 141 household agricultural holdings, around 98 percent (137 554) were individual holdings,

and merely 2 percent (3043) were joint holdings (as shown in Figs. 2.1 & 2.2) that were operated by two or

more holders from the same households or from different households. About 15 percent (21 818) of holders

were female and the remaining 85 percent (119 323) holders were male.



Baucau reported the largest number of household agriculture holdings with 17 960 while Manatuto, the

smallest municipality, had 5 548, nearly one-third the number of holdings as Baucau . Next in the order of

largest to smallest municipalities were Ermera with 16 100 holdings, Bobonaro with 14 190 holdings, Oe-

cusse with 13 599 holdings, and Viqueque with 12 672 holdings.

Indivi. Holdings, 137554

Joint holdings,

3586

Fig. 2.1: Number of household agricultural holdings enumerated by type of holding: Timor Leste

Male holder, 119323

Female holder, 21818

Fig. 2.2: Number of household agricultural holdings enumerated sex of holder: Timor Leste

17

96

0

16

10

0

14

19

0

13

59

9

12

67

2

10

09

4

99

42

94

43

73

73

72

79

70

02

63

52

55

48

40

6

38

3

27

4

19

9

10

2

30

8

21

2

81 22

6

25

1

39

1

63

9

11

4

15

59

8

14

24

2

11

79

6

11

72

0

10

90

8

86

12

86

98

76

12

65

02

64

57

63

85

61

50

46

43

27

68

22

41

26

69

20

78

18

66

17

90

14

56

19

12

10

97

10

73

10

08

84

1

10

19

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

20000

Baucau Ermera Bobonaro Oe-Cusse Viqueque Covalima Liquica Lautem Dili Ainaro Aileu Manufahi Manatuto

Individual Joint Total Male holder Total Female holder Total household agriculture holding

Fig. 2.3M: Number of household agricultural holdings enumerated by type of holding and Municipality

28 | P a g e

The largest number of joint household agriculture holdings was reported in Manufahi (639), followed by

Baucau (406) and Ermera (383). Differentials in the number of male and female holders, noticed at the

country level, are also revealed across the municipalities. [Ref. Fig. 2.3M]

Contrasting with the highest number of household holdings in Baucau, Bobonaro reported the largest

agricultural area of the country accounting for 41 256 ha. (19.1 percent). The second largest municipality

in terms of area was Ermera with 40 101 ha. (18.5 percent), followed by Baucau with 25 728 ha. (11.9

percent). The smallest municipality was Manatuto with 3 371 ha. or 1.6 percent of total agricultural land.

[Ref. Fig. 2.4M]


NUMBER AND SIZE OF AGRICULTURAL HOLDINGS Of the 141 141 household agricultural holdings, around 66 percent had land measuring less than 1 ha in

size, with a total share of only 8 percent of the total agricultural area of the country (see Figs. 2.5 and 2.6).

A further 30 percent of agricultural holdings were between 1 ha and 3.99 ha. and accounted for around 36

percent of all agricultural land area. Thus, 95 percent of Timor Leste household agricultural holdings

accounted for only 48 percent of the total agricultural area. On the other hand, nearly 2 percent of household

agricultural holdings of size 10 ha or more operated 52 percent of all agricultural land as shown in Fig. 2.6.

41

25

6

40

10

1

25

72

8

17

25

2

14

39

8

12

05

2

11

89

1

11

36

8

10

84

9

10

12

6

92

33

85

55

33

71

0

5000

10000

15000

20000

25000

30000

35000

40000

45000

Fig. 2.4M: Total area (ha.) of household agricultural holdings enumerated by Municipality

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AREA AND SIZE OF HOUSEHOLD AGRICULTURAL HOLDING The average size of the agricultural lands utilized by each household agricultural holding was reported at

1.53 hectare. While this average area was 1.55 ha. for a holding operated by male holder, it was marginally

lower (1.43 ha.) for a holding operated by female holder.


<0.02 has., 19.5%

0.02 ha. - 0.99 ha., 45.9%

1.00 ha. - 3.99 has., 29.5%

4.00 has. - 9.99 has., 3.2%

10.00 has. -19.99 has.,

0.9%

20.00 has. - 49.99 has., 0.6%

50.00 has. - 99.99 has., 0.3%

100 hectares and over,

0.1%

Fig. 2.5: Number of household agricultural holdings enumerated by size class of holding: Timor Leste

<0.02 has., 0.1%

0.02 ha. -0.99 ha.,

7.8%

1.00 ha. - 3.99 has., 28.3%

4.00 has. - 9.99 has., 11.4%

10.00 has. - 19.99

has., 7.5%

20.00 has. - 49.99 has., 9.8%

50.00 has. - 99.99 has., 12.2%

100 hectares and over, 22.9%

Fig. 2.6: Percentage of area (ha) of household agricultural holdings by size class of holdings: Timor Leste

30 | P a g e


The area of a household agricultural holding on average was higher than the national average in Manufahi

(2.85 ha), Baucau (2.43 ha.), Ainaro (1.83 ha), Lautem (1.63 ha.), Bobonaro (1.61 ha) and Ermera (1.60

ha). Seven municipalities reported average size of household agricultural holdings lower than the national

average. The average size of household agricultural holdings in these seven municipalities ranged from

1.40 ha in Dili to 0.60 ha in Covalima.

The average holding size was around 44 ha. for those holdings falling in the size class 10 ha or more, and

it was around 156 ha. for holdings falling in the size class 50 ha. or more, meaning that those with larger

holdings had, on average, very large holdings. [Ref. Figs. 2.7M]

PARTITIONING OF HOUSEHOLD AGRICULTURAL HOLDINGS INTO PARCELS Agricultural holdings in Timor Leste are generally composed of a number of partitioned pieces of land

referred to as ‘parcels’. These parcels are defined as any piece of land under one land tenure type, (i.e. the

right to use the land for agricultural purposes) which is entirely surrounded by other features not forming

part of the holding, such as other land, water, roads, and forest. Such parcels may consist of one or more

fields or plots adjacent to each other.

While the 141 141 thousand agricultural households contained a total of 214 469 parcels of land, as high as

95 percent of household agricultural holdings in Timor Leste were composed of between one and three

parcels of land. Sixty six percent of household agricultural holdings were composed of only 1 parcel. About

65 percent of male holders and 73 percent of female holders operated holdings with single parcels. [Ref.

Fig. 2.8]

2.8

5

2.4

3

1.8

9

1.6

3

1.6

1

1.6

0

1.5

3

1.4

0

1.3

5

1.0

7

0.9

7

0.9

0

0.6

7

0.6

0

0.00

0.50

1.00

1.50

2.00

2.50

3.00

Fig. 2.7M: Average area (ha.) of household agriculture holding by municipality

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The national average size of a parcel of land was 1.01 ha. The parcel size of male operated parcels was

slightly lower at 1.01 ha. than that of a female operated parcels of 1.02 ha.


Four municipalities reported higher average parcel areas than the national average: Bobonaro (2.02 ha.),

Dili (1.62 ha.), Ermera (1.25 ha.) and Manufahi (1.06 ha.). The other nine municipalities trailing the national

average were Viqueque (0.94 ha.), Aileu (0.93 ha.), Ainero (0.92 ha.), and others ending with Manufahi

(0.47 ha.). [Ref. Fig. 2.9M]

1 Parcel only66%

2-3 parcels

29%

4 - 5 parcels4%

6-9 parcels1%

10-14 parcels0%

15-19 parcels0%

20 Parcels & over0%

Fig. 2.8: Percentage of household agricultural holdings by group of parcels: Timor Leste

2.0

2

1.6

2

1.2

5

1.0

6

1.0

1

0.9

4

0.9

3

0.9

2

0.8

4

0.8

3

0.6

6

0.6

0

0.5

2

0.4

7

0.00

0.50

1.00

1.50

2.00

2.50

Fig. 2.9: Average area (ha.) of parcel of household agriculture holding by municipality

32 | P a g e

LAND USE OF PARCELS A parcel of land can be used solely for one purpose or for two or more purposes, such as, for temporary

crops as well as for permanent crops and plants, etc. Seven of every 10 parcels (149 149 parcels) within

household agricultural holdings were used for the cultivation of temporary crops (with a growing cycle of

less than one year), with relatively smaller percentages of parcels (98 666 parcels: 45 percent) allocated for

permanent crops (growing longer than one year), and the rest for other purposes. In addition, crops were

also grown within the homestead parcels (54 747 parcels: 26 percent), and in combination with other

agricultural activities, such as keeping livestock and/or poultry.

A very small percentage of parcels were left idle in the country during the five years prior to the census.

Likewise, a very small percentage of parcels were used in undertaking other agricultural activities, such

as cultivating temporary meadows, raising livestock and poultry, etc. [Ref. Fig. 2.10]


LAND TENURE OF PARCELS Agricultural households owned 96 percent of the parcels of land in their holdings, that is, parcels owned by

households were either owned with a certificate from the Portuguese, or from Indonesia, or with other

numero referensia or certificate, or owned without certificate. About 2 percent of the parcels of land were

communal land and nearly 1 percent was leased-in in their holdings. Pattern of land tenure status was almost

the same for the holdings operated by male and female holders. [Ref. Fig. 2.11]

Tem

po

rary

cro

ps,

69

.5%

Tem

po

rari

ly f

allo

w, 2

.0%

Tem

po

rary

mea

do

ws

and

pas

ture

s, 0

.7%

Per

man

ent

cro

ps,

46

.0%

Per

man

ent

mea

do

ws

and

pes

ture

s, 0

.7%

Farm

bu

ildin

g an

d f

arm

yard

s, 2

5.5

%

Aq

uac

ult

ure

, 0

.6%

Oth

er a

rea

n.e

.c.,

3.5

%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

Temporarycrops

Temporarilyfallow

Temporarymeadows and

pastures

Permanentcrops

Permanentmeadows and

pestures

Farm buildingand farmyards

Aquaculture Other arean.e.c.

Fig. 2.10: Percentage of parcels in household agriculture holdings by land use: Timor Leste

33 | P a g e


The percentage of owned parcels (with or without certificate) exceeded the national level in eight

municipalities. Of them, four municipalities reported to own over 99 percent of parcels, and almost

all households in Manufahi. Around 85 percent of parcels were owned by agriculture households

in Viqueque, the lowest among all municipalities. In Viqueque, on the other hand, around 8

percent of land parcels were reported to be leased in – the highest among all municipalities. The

other municipalities that reported lower percentage of owned parcels than the national level were

Manatuto, Baucau, Oe-Cusse and Lautem. [Ref. Fig. 2.12M]


INSTITUTIONAL FARM HOLDINGS The distribution of number of institutional farm holdings and its area (ha.) by size class is shown in Fig.

2.13. The average area of a farm institution was around 5.14 ha. and ranged from 0.58 ha. in the size class

of less than 4 ha. to 245 ha. in the size class 100 ha. or more. The number of such large farm institutions

0%

Own with certificate from

Portuguese4%

Own with certificate from

Indonesia6%

Own with other numero referensia or

certificate23%

Own without certificate

63%

Communal land2%

Lease in1%

Otherwise (Squatter) operated

1%

Fig. 2.11: Percentage of parcels of household agricultural holdings by land tenure: Timor Leste

84

.9% 92

.0%

94

.2%

95

.4%

95

.7%

95

.9%

96

.5%

97

.9%

98

.1%

98

.4%

99

.2%

99

.2%

99

.3%

99

.5%

75.0%

80.0%

85.0%

90.0%

95.0%

100.0%

105.0%

Viqueque Manatuto Baucau Oe-Cusse Lautem TimorLeste

Ermera Dili Bobonaro Covalima Liquica Ainaro Aileu Manufahi

Fig. 2.12M: Percentage of parcels of household agricultural holdings owned by the holders, by Municipality

34 | P a g e

was only 8 in Timor Leste – mostly in Ailue (3) and Manufahi (3). The expected trend in the number of

farm holdings and area is revealed over the size class. As the size class of farm holding increases, the area

of farm holding increases, and the number of farm holdings in the region decreases. While 62 percent of

farm institutions with land less than 1 ha. operated only 2 percent of the total agricultural land area, about

2 percent of farm institutions with land 50 ha. or more accounted for 71 percent of total institutional farm

area of 3070 ha. The number of institutional farm holdings and area by size class are given separately for

each municipality in Table 2.2M and 2.3M. [Fig. 2.13]


Table 2.2M: Number of institution agricultural holdings by size of the agricultural holding by Municipality

Municipality <0.02ha. 0.02 ha. - 0.99 ha.

1.00 ha. - 3.99 ha.

4.00 ha. - 9.99 ha.

10.00 ha. - 19.99

ha.

20.00 ha. - 49.99

ha.

50.00 ha. - 99.99

ha.

100 ha. & over

Total Institutional Agricultural

Holdings

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu 8 9 5 2 2 0 0 3 29

Ainaro 6 8 3 0 1 0 0 0 18

Baucau 8 12 9 1 1 0 1 0 32

Bobonaro 28 28 10 4 4 2 1 0 77

Covalima 10 7 17 0 1 0 0 0 35

Dili 23 12 11 3 1 0 0 0 50

Ermera 27 26 24 6 2 1 0 0 86

Lautem 12 1 7 3 0 1 0 0 24

Liquica 9 16 17 3 2 0 0 0 47

Manatuto 9 8 6 0 0 0 0 1 24

Manufahi 9 13 26 3 3 2 0 3 59

Oe-Cusse 19 36 17 0 0 0 0 0 72

Viqueque 16 8 16 1 1 0 1 1 44

Timor Leste 184 184 168 26 18 6 3 8 597

30.8% 30.8%28.1%

4.4% 3.0% 1.0% 0.5% 1.3%0.0% 1.6%

8.5%4.2%

8.1% 6.5% 7.1%

63.8%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

<0.02 has. 0.02 ha. - 0.99ha.

1.00 ha. - 3.99ha.

4.00 has. -9.99 ha.

10.00 has. -19.99 ha.

20.00 has. -49.99 ha.

50.00 has. -99.99 ha.

100 ha. & over

No. of farm institutions Area

Fig. 2.13: Number of institutional farm holdings and area (ha) by size class of farm holding: Timor Lleste

35 | P a g e

Table 2.3M: Area (Ha) of Institution agricultural holdings by size of the agricultural holding by Municipality

Municipality <0.02ha. 0.02 ha. - 0.99 ha.

1.00 ha. - 3.99 ha.

4.00 ha. - 9.99 ha.

10.00 ha. - 19.99

ha.

20.00 ha. - 49.99

ha.

50.00 ha. - 99.99

ha.

100 ha. & over

Total area(ha.) of Institutional Agricultural

Holdings

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu 0.0 2.7 8.0 13.0 33.0 0.0 0.0 300.0 356.8

Ainaro 0.0 3.2 5.0 0.0 10.0 0.0 0.0 0.0 18.2

Baucau 0.1 3.1 10.5 5.0 13.5 0.0 51.0 0.0 83.2

Bobonaro 0.2 7.2 13.0 20.5 45.0 60.2 93.0 0.0 239.0

Covalima 0.1 0.6 29.8 0.0 12.0 0.0 0.0 0.0 42.5

Dili 0.1 3.8 18.5 12.4 14.0 0.0 0.0 0.0 48.7

Ermera 0.2 6.5 42.7 28.0 31.2 30.0 0.0 0.0 138.6

Lautem 0.1 0.5 12.1 17.0 0.0 29.0 0.0 0.0 58.7

Liquica 0.0 4.6 26.3 13.5 25.0 0.0 0.0 0.0 69.4

Manatuto 0.0 1.6 11.5 0.0 0.0 0.0 0.0 110.0 123.1

Manufahi 0.1 5.7 38.1 14.1 49.0 81.8 0.0 1450.0 1638.7

Oe-Cusse 0.1 8.6 22.2 0.0 0.0 0.0 0.0 0.0 30.9

Viqueque 0.1 1.6 22.0 6.0 17.0 0.0 75.0 100.0 221.7

Timor Leste 1.0 49.6 259.8 129.4 249.7 201.0 219.0 1960.0 3069.5

36 | P a g e

CHAPTER THREE: CROP CULTIVATION

The primary activities undertaken by household agricultural holdings in Timor Leste were the planting of

temporary and permanent crops, and associated activities of irrigation, fertilizer use, use of plant protection

practices, and receiving/accessing agricultural information. Temporary crops are those with a growing cycle

of less than one year, and after harvest, the land is either re-sown or replanted for another production cycle.

Temporary crops presented in the census were those grown seasonally during the reference period of the

last 12 months prior to the day of census enumeration.

Permanent crops were those with more than one year growing cycles and found to be still standing and

productive within agricultural holdings. There are various permanent crops, including cultivated fruits,

edible nuts, oil crops, rubber, spices and aromatic crops, and other non-food crops.

Crops in both categories were presented in terms of area planted, irrigation, fertilizer use and plant

protection practice. Area planted refers to the amount of land used for agricultural operations, calculated

as planting area times the number of times the same crop or different crops were planted during the reference

period. This area is termed as ‘gross’ area planted, and can exceed actual agricultural land area.

CROPS GROWN Of the total number of 141 141 household agriculture holdings in the country, 127 051 holdings cultivated

crops and plants in their land parcels, accounting for 90 percent of household agriculture holdings. Among

the household agriculture holdings that reported cultivation of crops and plants, about 63 percent (88 730)

cultivated both temporary as well as permanent crops/plants during the reference period, while 23 percent

(32 804 holdings) had grown only temporary crops in their holdings and 4 percent (5 519 holdings)

cultivated only permanent crops/plants. Around 10 percent (14 088) of agriculture household holdings did

not cultivate any crops or plants but did raise some livestock for their livelihood during the reference period.

The picture of cultivation of permanent and temporary crops and plants is shown in Fig. 3.2M. Growing of

temporary crops dominated that of permanent crops/plants in terms of number of household holdings in all

the municipalities. [Ref. Figs. 3.1 & 3.2M]


Permanent crops, 3.9%

Temporary crops, 23.2%

Both, 62.9%

None, 10.0%

Fig. 3.1: Percentage of household agriculture holdings cultivated crops/plants during last 12 months prior to the date of enumeration by type of crops/plants: Timor Leste

37 | P a g e


HOUSEHOLD AGRICULTURE HOLDING BY AREA CULTIVATED It is evident from Fig. 3.3 that agriculture holdings in the lower size classes cultivated less land area

compared to their share of total number of agriculture households. On the other hand, agriculture holdings

in the higher size classes, say, 10 ha. or more, cultivated more land area compared to their share of total

agriculture households. For example, 63 percent of the smallest agriculture holdings cultivated less than 1

ha. of land, while 5 percent of the largest agriculture holdings cultivated 55 percent of land in the country

during the reference period. [Ref. Fig. 3.3]


55

19

31

2

33

3

42

3

57

3

46

3

19

7

37

8

25

5

24

6

54

4

36

0

89

7

53

8

32

80

4

62

17

61

26

35

52

31

93

28

24

18

82

18

52

14

41

13

74

12

45

12

37

10

47

81

4

88

73

0

66

94

10

70

4

93

80

51

94

78

00

51

09

61

58

28

87

32

47

43

57

74

38 14

10

4

56

58

0

10000

20000

30000

40000

50000

60000

70000

80000

90000

100000

Total Oe-Cusse Baucau Bobonaro Covalima Viqueque Aileu Lautem Dili Manatuto Manufahi Liquica Ermera Ainaro

Permanent crops Temporary crops Both

Fig. 3.2M: Number of household agriculture holdings reprting cultivation of crops/plants during last 12 months prior to the date of enumeration by type of crops/plants, Municipality

0.5%

16.8%

22.2%

5.7% 4.8%

8.6%

28.7%

12.6%14.7%

48.4%

24.4%

7.5%

2.7% 1.5% 0.4% 0.5%0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

<.02 0.02 ha. -0.99 ha.

1.00 ha. -3.99 has.

4.00 has. -9.99 has.

10.00 has. -19.99 has.

20.00 has. -49.99 has.

50.00 has. -99.99 has.

100 hectaresand over

% of area cultivated % of agri. holdings cultivated land

Fig. 3.3: Percentage of household agriculture holdings cultivated crops/plants by size class of area (ha.) cultivated: Timor Leste

38 | P a g e

CROPS GROWN AND AREA CULTIVATED The gross agriculture area cultivated in Timor Leste was about 509 226 ha, or around 2.36 times the total

agriculture area of all household agriculture holdings. Seventy-two crops and plants were grown during the

reference period of which thirteen major crops accounted for around 70 percent of the total area cropped.

This was led by corn (18 percent), rice (7.6 percent), cassava (7.4 percent), coffee (6.3 percent), Coconut

(5.8 percent), Banana (5.4 percent), Teak (4.2 percent), Mango (3.6 percent), Sweet potatoes (2.8 percent),

Papaya (2.4 percent), Candlenut (2.1 percent), Taro (2.0 percent) and Areca nut (1.9 percent). The

remaining 56 crops and plants accounted for 30 percent of the gross cultivated area. [Ref. Fig. 3.4]


METHOD OF PLANTING The 72 varieties of cultivated crops and plants were sown in three types of planting methods: scatter, mixed

and compact planting, on 509 226 ha of gross area in the country. The total area under scatter planting and

cropping was reported at some 337 893.1 ha, accounting for 66.4 percent of the total gross area devoted to

crops and plants. The second largest was the compact planting area that accounted for some 135 753.1 ha.,

or 26.7 percent of the total gross area cultivated. The line cropping area shared 35 580.2 ha. of total

cultivated gross area.

Baucau had the largest scatter planting and cropping area of 70 871.5 ha. with Bobonaro in second place

with 44 333.0 ha. These two municipality maintained their rank with respect to the area of compact

cultivation also, and area reported for this category was 51 197.9 ha. and 16 466.5 ha., respectively. [Ref.

Fig. 3.5M]

TYPE OF PLANTING Three types of planting and cropping methods are generally followed: monoculture, mixed cropping and

scattered planting and copping. In monoculture, a single crop/plant is sown in a parcel of land. Bobonaro

had the largest area reporting some 17 872.2 ha. against total cultivated area under monoculture of some

73662.8 ha. in the country. Bobonaro was followed by Ermera with 13 706.4 ha. and Baucau with 10 821.3

ha. Further in the country, 235 210.2 ha. and 200 353.4 ha. of cultivated area were sown with mixed and

18.0%

7.6%

7.4%

6.3%

5.8%

5.4%

4.2%

3.6%

2.8%

2.4%

2.1%

2.0%

1.9%

0.0% 2.0% 4.0% 6.0% 8.0% 10.0% 12.0% 14.0% 16.0% 18.0% 20.0%

Corn

Rice

Cassava

Coffee

Coconut

Banana

Teak

Mango

Sweet potatoes

Papaya

Candlenut

Taro

Areca nut

Fig. 3.4: Percentage of gross area used for thirteen major crops/ plants cultivated during last 12 months prior to the date of enumeration : Timor Leste

39 | P a g e

scattered pattern, respectively. Among the municipalities, Baucau reported the largest area under mixed

cropping and planting with 60459.1 ha., besides scattered planting with 56574.8 ha. of gross area. [Ref.

Fig. 3.6M]



EQUIPMENT AND MACHINERY USED Traditional agricultural equipment was used predominately by Timor Leste’s household agricultural

holdings, such as, crowbar, hoe, sickle, shovel, hose, plant sprinkler, coffee bean peeler processing

machinery, hand tractor, rice milling machine, hand sprayer, corn milling machine, etc (see Fig. 3.6). The

40

.8%

9.6

%

40

.0%

25

.7%

25

.9%

0.9

%

28

.7%

23

.0%

36

.1%

21

.3%

21

.7%

9.8

%

21

.9%

26

.7%

7.6

%

8.7

%

4.5

%

5.0

%

13

.6%

6.4

%

4.9

%

9.7

%

8.7

%

14

.4%

16

.4%

2.1

%

9.8

% 7.0

%

51

.6%

81

.7%

55

.4%

69

.3%

60

.5%

92

.7%

66

.4%

67

.4%

55

.2%

64

.3%

62

.0%

88

.1%

68

.3%

66

.4%

0.0%

20.0%

40.0%

60.0%

80.0%

100.0%

120.0%

Scatter Line Compact

Fig. 3.5M: Percentage of cultivated area of household agriculture holdings by method of planting: Timor Leste

25

.4%

6.0

%

8.5

%

27

.9%

25

.1%

3.0

%

24

.2%

8.8

%

22

.8%

9.6

%

5.5

%

7.3

%

16

.3%

14

.5%

72

.1%

37

.9% 47

.3%

21

.6%

40

.2%

8.3

%

40

.7%

83

.2%

36

.8%

57

.0%

51

.8%

81

.9%

33

.0%

46

.2%

2.5

%

56

.1%

44

.2%

50

.5%

34

.7%

88

.7%

35

.1%

8.0

%

40

.4%

33

.4%

42

.8%

10

.7%

50

.7%

39

.3%

0.0%

20.0%

40.0%

60.0%

80.0%

100.0%

120.0%

Scattered Mixed cropping Monoculture

Fig. 3.6M: Percentage of cultivated area of household agriculture holdings by type of planting: Timor Leste

40 | P a g e

crowbar was used by 118 192 households, sickles by 101 407 households, hoes by 90 071 households,

shovels by 68 433 households, hoses by 23 657 households, plant sprinklers by 17 569 households and

coffee bean peeler processing machinery by 9 298 households. Amongst these users of machinery and

equipment, agricultural households tended to own a large number of them, yet a large number of agricultural

equipment and machinery was also rented by farming households from the private sector. Most crowbars

were privately owned as well as rented. Other machinery and equipment like, hoes, hand tractors, rice

milling machines, and corn milling machines were mostly rented. A small number of equipment and

machinery was made available to agriculture households by the Government. [Ref. Table A.33 in the

appendix]. [Ref. Fig. 3.7]


TYPE OF TILLAGE PRACTICE USED ON HOLDING About 51 percent of the holdings (65 846) did not till their land for cultivation in Timor Leste. Those who

tilled their land for cultivation used mainly two types of tillage practices: conventional tillage and

conservative tillage. Of those who tilled their land, 67 percent (42 745) used conventional tillage and the

remaining 21 567 holdings used conservative tillage.

Among all municipalities, Ermera topped the list with 54 percent of holdings reporting use of conventional

tillage, while 33 percent did not till land for cultivation. Next to Ermera, Manatuto reported use of

conventional tillage in 45 percent of holdings. On the other hand, Liquica, a small municipality in terms of

number of cultivated holdings, did not till for cultivation in 84 percent of holdings. [Fig. 3.8M]

374029572311071157150128533863

60366683

929817569

2365768433

90071101407

118192

0 20000 40000 60000 80000 100000 120000 140000

Rice harvesting machineryRice planting machinery

Coconut processing machineryRice threshing machine

Medium tractorCorn threshing machine

Mini tractorCorn milling machine

Hand SprayerRice milling machine

Hand tractorCoffee bean peeler processing machinery

Plant sprinklerHose

ShovelHoe

SickleCrowbar

Fig. 3.7: Number of agricultural households reporting use of machine and equipment during last 12 months prior to the date of enumeration : Timor Leste

41 | P a g e


SOURCE OF POWER USED FOR TILLAGE Of the agricultural holdings that reported using some type of land tillage for cultivation, in Timor, 63

percent used manual power, 33 percent used machine power and nearly 4 percent used animal power.

Ainaro appears to be the most progressive municipality among all where 86 percent of holdings reported

use of machine power for tillage. Other municipalities such as Oe-cusse, Liquica and Aileu fall in that

category where more than 50 percent of holdings used machine for tillage of land. [Fig. 3.9M]


USE OF IRRIGATION AND MAIN SOURCE Use of irrigation for growing of crops and plants was significant in Timor Leste with 20 percent of

agricultural households (28 965) reporting irrigation of land. Around 68 percent of those who irrigated land,

reported using surface water as the main source, another 11 percent used underground water and 14 percent

used both surface and underground water. The Municipality and Government provided support to 4 percent

of agriculture household for irrigating land for cultivation. [Ref. Fig. 3.10]

86397361

3793 3350 3137 3127 2645 2591 2205 2144 1511 1071 878

2215 4296

1467 2744 2292 2585

968 1758419 880

738407 660

51

94 55

06

58

27

10

94

15

81

76

43

53

47

88

74

22

43

53

64

38

97

75

57

30

45

0

2000

4000

6000

8000

10000

12000

14000

16000

18000

20000

Ermera Baucau Viqueque Aileu Ainaro Bobonaro Covalima Oe-cusse Manatuto Lautem Manufahi Liquicia Dili

Zero/ No tillage Conservation tillage Conventional tillage

Fig. 3.8M: Percentage of household agriculture holdings cultivated land by type of tillage practice used: Timor Leste

848

3557

700 638

3064 2545 2704871 841 258

1746454

3108

95

76

73

73

53

36

47

70

25

74

25

22

16

00

15

41

12

66

12

52 1

04

2

96

4

48

1

0

2000

4000

6000

8000

10000

12000

14000

Covalima Viqueque Ermera Baucau Aileu Dili Liquicia Lautem Manufahi Bobonaro Oe-cusse Manatuto Ainaro

Manual power Machine power Animal power

Fig. 3.9M: Percentage of household agriculture holdings cultivated land by source of power used for tillage: Timor Leste

42 | P a g e


IRRIGATION USE AND MAIN METHOD Agricultural households reported the use of several methods of irrigating water for cultivation, such as

natural flow irrigation, channel irrigation, irrigation by pump, manually by using hose/bucket, sprinkler

irrigation, etc. Most of the agriculture households (53 percent) reporting irrigation used ‘natural flow

irrigation’ methods, followed by channel irrigation (24 percent), manually by using hose/bucket (17

percent) and using piped (3 percent). Sprinkler irrigation and drip irrigation were used by less than 1 percent

of agriculture households. [Ref. Fig. 3.11]


Surface water, 68.1%

Underground water, 11.1%

Mixed surface and underground water,

14.4%

Municipal/Government water supply, 3.9% Other, 2.4%

Fig. 3.10: Percentage of household agriculture holdings reporting irrigation by main source of irrigation water during last 12 months prior to the date of enumeration : Timor Leste

Natural flow irrigation, 52.8%

Channel irrigation, 23.8%

Irrigation by pump, 3.0%

Manually by using hose/bucket etc,

17.3%

Sprinkler irrigation, 0.4%

Drip irrigation, 0.5%

Other, 2.2%

Fig. 3.11: Percentage of household agriculture holdings reporting irrigation by method of irrigation water during last 12 months prior to the date of enumeration: Timor Leste

43 | P a g e

USE OF IRRIGATION AND MAIN PAYMENT METHOD Seventy nine percent of agriculture households reporting irrigation had irrigated land free of any charge,

while another 18 percent used own water taken/supplied by others for irrigation. Only around 4 percent of

agriculture households paid for irrigating their land either based on area irrigated or volume of water taken. [Ref. Fig. 3.12]


FERTILIZER USE Around 7852 agriculture households (6 percent) reported use of fertilizers for growing crops and plants.

Some households used more than one type of fertilizer such as inorganic, organic and bio-fertilizer. The

most used fertilizer was organic fertilizer, reported by 63% of the agriculture households among those who

reported the use of any fertilizer. Inorganic fertilizer was used by nearly 38 percent of holdings, while only

3 percent used bio-fertilizer. [Ref. Fig. 3.13]

Own water Taken/supplied by

other, 17.5%

Free of charge, 78.5%

Paid based on area of land irrigated,

2.3%

Paid based on volume of water

taken, 1.3%

Other, 0.5%

Fig. 3.12: Percentage of household agriculture holdings reporting irrigation by main payment term of irrigation water during last 12 months prior to the date

of enumeration: Timor Leste

44 | P a g e


FERTILIZER USED IN CROPS Of the 6 percent of agriculture households that used fertilizers, it was used mostly for temporary crops. For

example, fertilizer was used for rice cultivation by the highest number of 2 274 (19 percent) agriculture

households. This was followed by mustard by 990 (13 percent), corn by 593 (8 percent), shallots by 420 (5

percent), lettuce by 352 (4 percent), tomato by 346 (4 percent), and orange by 288 (nearly 4 percent).

PLANT PROTECTION PRACTICES Around 8 538 (6 percent) of all agriculture household holdings reported the use of some type of plant

protection for insects, diseases, weeds and rodents. Some households applied more than one type of plant

protection. Around 4 percent of agricultural holdings applied each for insects fertilizer (5 644) and for

weeds (5 911). Plant protection was applied for diseases by a further 3 percent (4 501) and was lowest for

rodents at nearly 2 percent (2 393) of agricultural holdings.

CROPS UNDER PLANT PROTECTION Fewer agricultural households used plant protection material for a large number of crops and plants grown

during the reference period. Of all crops, plant protection material was applied for growing of corn by 1

845 holdings, rice by 1 725 and cassava by 680 holdings in all of Timor Leste. [Ref. Fig. 3.14]

37.5%

63.3%

3.4%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

Inorganic fertiliser Organic fertiliser Bio-fertiliser

Fig. 3.13: Percentage of agricultural households reporting use of fertilizer by type of fertiliser used during last 12 months prior to the

date of enumeration : Timor Leste

45 | P a g e


USE OF SEED/ PLANTING MATERIAL AND SOURCES In the entire country, 28 298 agricultural households (20 percent) used both high yielding and local varieties

of seed and planting materials. Of them, only 1 540 used certified seed/planting material of a modern variety

compared to 8 584 households that used uncertified seed/planting material of s modern variety and 15 990

uncertified seed/planting material of farmers’ variety. In general, more agricultural holdings used local

varieties of seed/planting materials than certified seed/planting material. The clear majority of household

agricultural holdings reporting use of certified seed/planting material, used for corn (725) and rice (315)

production. [Ref. Fig. 3.15]

Approximately 91 percent of agricultural holdings reported that self-produced seeds were their source,

while 6 percent procured it from local markets and nearly 1 percent from government sources. [Ref. Fig.

3.16]

6.0%

4.0%

3.2%

4.2%

1.7%

0.0%

1.0%

2.0%

3.0%

4.0%

5.0%

6.0%

7.0%

Any type ofplant protection

For insectsfertiliser

For diseases For weeds For rodents

Fig. 3.14: Percentage of Household Agricultural Holdings reporting use of plant protection practices during last 12 months prior to the date of

enumeration by type of plant protection practices

46 | P a g e



AGRICULTURAL EXTENSION SERVICES Eight distinct sources (government, private companies, non-government organizations and local

associations) provided information on agricultural extension services to agricultural households in terms of

promoting productivity, increasing food security, improving rural livelihoods and promoting agriculture.

About 16 433 (12 percent) of the household agriculture holdings received or accessed information on

agricultural extension services in the country.

The mass media (television and radio) was the most popular source of agricultural information. The

extension services provided by the government, as well as information sharing among farmers themselves

were other important sources of information. The Radio, Government and Television each acted as the

source for more than 50 percent of agriculture households who reported to receive/access the information.

Other sources such as other farmers (46 percent) or NGOs (45 percent) or membership associations (40

5.4%

30.3%

56.5%

7.7%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

Certified seed/plantingmaterial of modern

variety

Uncertifiedseed/planting material

of modern variety

Uncertifiedseed/planting material

of farmer`s variety

Others

Fig. 3.15: Percentage of household agricultural holdings used seed/planting material from those used seeds/planting materials by type of

seed/planting material used during last 12 months prior to the date of enumeration : Timor Leste

91.0%

5.8% 0.7% 0.6% 0.8% 1.2%0.0%

20.0%

40.0%

60.0%

80.0%

100.0%

Self Production Local Market Government NGO Exchange withothers

Other

Fig. 3.16: Percentage of Household Agricultural Holdings used seed/planting material material from those used seeds/planting materials by source of

seed/planting material during last 12 months prior to the date of enumeration : Timor Leste

47 | P a g e

percent) also played a significant role in providing information to the agriculture households reporting to

receive or access information. Besides, journal/newspaper or internet could each serve as a source for 21

percent of such agriculture households. [Ref. Fig. 3.17]


53.5%55.7%

50.8%

20.7% 21.3%

45.9% 45.0%

30.5%

22.1%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%G

ovt

. Ext

ensi

on

Serv

ice

s Rad

io

Tele

visi

on

Jou

rnal

/N

ew

spap

ers

Inte

rne

t

Oth

er

farm

ers

NG

Os

Me

mb

ersh

ipas

soci

atio

ns

Oth

er

Sou

rces

Fig. 3.17: Percentage of Household Agricultural Holdings reporting that Received/Accessed Agricultural Information during last 12 months prior to the date of enumeration by Source of Agricultural Information:

Timor Leste

48 | P a g e

CHAPTER FOUR: LIVESTOCK AND POULTRY REARING

LIVESTOCK AND POULTRY Livestock and poultry was the second most important agricultural activity undertaken by agricultural

households, following crop cultivation, and therefore played a key role in supporting livelihoods of and

providing income to agricultural households. Around 95 percent (134 158) of all agricultural households in

Timor Leste raised livestock and/or poultry at the time of the census enumeration. The largest number of

households raising livestock and poultry was recorded in Baucau (13.3 percent), followed by Ermera (11.4

percent), Bobonaro (10.2 percent), and Oe-Cusse (9.6 percent). Other municipalities with at least 9000

households reporting the presence of livestock and poultry were Viqueque (12 476 households), Covalima

(9 973), Liquica (9 790) and Lautem (9 142). The least number of households reporting the presence of

livestock and poultry was in Manatuto (5 372). [Ref. Fig. 4.1]


17896

15229

13727

12845

12476

9973

9790

9142

7146

7052

6931

6579

5372

0 5000 10000 15000 20000

Baucau

Ermera

Bobonaro

Oe-Cusse

Viqueque

Covalima

Liquica

Lautem

Dili

Ainaro

Aileu

Manufahi

Manatuto

Fig. 4.1: Number of Agricultural Households Owning any Livestock

on the day of enumeration by Municipality

49 | P a g e


TYPE OF LIVESTOCK /POULTRY BY SIZE CLASS Among the agriculture households that were raising or keeping livestock, about 92 percent reported raising

small livestock, 82 percent reported raising poultry, and 62 percent reported raising large livestock.

Preference of households for raising small livestock over large livestock was evident from the results of the

census, and many households kept a mix of both livestock and poultry. In the case of households raising

small livestock, 88 percent kept between nine or less number of small livestock, such as pigs and goats.

About 12 percent of households kept 10 or more small livestock. The largest number of households (153

949) raised either pigs or goats, or both. [Ref. Fig. 4.3]


Similarly, in the case of households raising large livestock, 87 percent kept between nine or less large

animals, such as cows (57 848 households) and buffalos (19 847 households). About 14 percent of

households kept 10 or more large animals. [Ref. Fig. 4.2]

Size class: 0-1, 24.8%



Size class: 10-19, 9.1%

Size class: 20+, 4.4%

Fig. 4.2: Percentage of agriculture households owning large livestock on the day of enumeration by size class of large livestock : Timor Leste

size class: 0-2, 38.2%



size class: 10-19, 9.1%

size class: 20+, 2.5%

Fig. 4.3: Percentage of agriculture households owning small livestock on the day of enumeration by size class of small livestock : Timor Leste

50 | P a g e


Estimated 57 percent of agriculture households that raised poultry reported to keep less than 10 birds and

nearly 2 percent kept 50 or more number of poultry birds. Further 42 percent of agriculture households kept

10 to 50 poultry birds. [Ref. Fig. 4.4]

NUMBER OF LIVESTOCK OWNED Agricultural households owned 2.3 million livestock and poultry at the time of the census enumeration, or

an average of 17 livestock. Among the municipalities, Baucau reported to own the highest number at 319

370 (14 percent) animals and birds, followed by Viqueque with some 244 332 (11 percent), Bobonaro with

213 045 (9 percent), and Oe-cusse with around 211 140 (9 percent). [Ref. Fig. 4.5M]


Size class of poultry: 0-4, 37.1%





Size class of poultry: 100+,

0.4%

Fig. 4.4: Percentage of agriculture households owning poultry on the day of enumeration by size class of poultry: Timor Leste

319370

244332

213045

211140

193216

186034

183486

174257

148377

114637

113401

91047

75034

0 50000 100000 150000 200000 250000 300000 350000

Baucau

Viqueque

Bobonaro

Oe-Cusse

Lautem

Ermera

Covalima

Manatuto

Liquica

Ainaro

Manufahi

Dili

Aileu

livestock and/or poultry Fig. 4.5M: Total number of livestock and/or poultry owned on the date of

enumeration : Timor Leste

51 | P a g e

CATTLE, BUFFALO, PIG AND GOAT Cattle: The most common large livestock raised in agricultural households were cattle and buffalo, though

cattle were two and one-fourth times more numerous than buffalo. With an estimated 286 558 cattle in the

country, on average of 2 cattle were raised per agriculture household. Aileu, Vicqueque and Oe-cusse each

accounted for 14 percent of the total number of cattle in the country, followed by Manufahi with some 12

percent and Ainero with some 9 percent of cattle. Cattle raised in Timor Leste were of local breeds, except

857 which were reported of dairy cow (see Fig. 4.6aM).

Buffalo: Agricultural households reported a total of some 127 475 buffalo with just over one-fourth

located in Viqueque, followed by 17 percent in Manatuto, 16 percent in Baucau and 14 percent in

Lautem. [Fig. 4.6bM].


Pigs: The number of pigs raised in agricultural holdings totaled 453444 and accounted for 20 percent of

all livestock and poultry and 69 percent of small livestock raised in the country. Agricultural households

in Manatuto, Viqueque, Baucau, Covalima and Bobonaro reported raising the majority of pigs – each

accounted for 10 percent or more (see Fig. 4.6cM).

3158

8420

12466

12469

13525

13984

15900

20009

26293

34668

40454

42562

42650

0 5000 10000 15000 20000 25000 30000 35000 40000 45000

Manatuto

Baucau

Ermera

Dili

Bobonaro

Lautem

Liquica

Covalima

Ainaro

Manufahi

Oe-Cusse

Aileu

Viqueque

Cow (Karau Vaka)Fig. 4.6aM: Total number of cattle (Karau Vaka & Karau Vaka Susuben) owned on the date of enumeration by Municipality

52 | P a g e



Goats: Agricultural households reported owning179 911 goats. Baucau reported 21 percent (37 379),

followed by 10 percent or more each in Oe-Cusse, Manatuto and Liquica (see Fig. 4.6dM).

914

1926

2094

2913

2931

4549

4659

6320

9160

18027

20310

21231

32441

0 5000 10000 15000 20000 25000 30000 35000

Dili

Aileu

Liquica

Ermera

Covalima

Bobonaro

Ainaro

Manufahi

Oe-Cusse

Lautem

Baucau

Manatuto

Viqueque

Buffalo (Karau Timur)Fig. 4.6bM: Total number of buffalo (Karau Timur) owned on the

date of enumeration by Municipality

14896

18321

19372

22429

27122

33519

37272

39299

46862

47172

47413

48808

50959

0 10000 20000 30000 40000 50000 60000

Aileu

Manufahi

Ainaro

Dili

Liquica

Ermera

Lautem

Oe-Cusse

Bobonaro

Covalima

Baucau

Viqueque

Manatuto

Pig (Fahi)Fig. 4.6cM: Total number of pigs (Fahi) owned on the date of enumeration

Municipality

53 | P a g e


CHICKENS AND DUCKS Chickens and ducks, an important source of protein, were the most common poultry raised by agricultural

households with an estimated 1 146 037chickens and 6 848 ducks reported at the time of enumeration.

Baucau led all other municipalities reporting 17 388 chickens, followed by Ermera, Oe-Cusse and Bobonaro

reporting with 115 073, 114 303, and 99 970 chickens, respectively. Liquica reported the most number of

ducks 1 398, followed closely by Dili and Bobonero reporting with 1 065 and 978 ducks, respectively. [Ref.

Figs. 4.6eM and 4.6fM]


4151

4436

5262

6547

9061

11495

11589

13961

16748

18696

20210

20376

37379

0 5000 10000 15000 20000 25000 30000 35000 40000

Ainaro

Manufahi

Covalima

Aileu

Lautem

Dili

Ermera

Viqueque

Bobonaro

Liquica

Manatuto

Oe-Cusse

Baucau

Goat (Bibi Timur)Fig. 4.6dM: Total number of goat (Bibi Timur) owned on the date of

enumeration by Municipality

40509

49759

62018

64150

68520

85083

86454

86867

99443

99970

114303

115073

173888

0 20000 40000 60000 80000 100000 120000 140000 160000 180000 200000

Aileu

Dili

Manatuto

Manufahi

Ainaro

Liquica

Lautem

Covalima

Viqueque

Bobonaro

Oe-Cusse

Ermera

Baucau

Chicken (Manu Lokal)Fig. 4.6e: Total number of chicken (Manu Lokal) owned on the

date of enumeration by Municipality

54 | P a g e


VETERINARY SERVICES Among the agricultural households that were raising livestock and poultry, 7 748 (6 percent) reported the

use of at least veterinary service, namely, vaccination, artificial insemination, castration and treatment of

sickness. Of the veterinary service users, about 80 percent (6 183) reported the use for small animals,

followed by 50 percent (3 867) used for large animals and 32 percent (2486) for poultry. [Ref. Fig. 4.7]


SOURCE OF VETERINARY SERVICES Government played the major role in providing veterinary services and provided it to 68 percent of

agriculture households reporting its use. Twenty-three percent of agriculture households obtained the

service from private agencies and another 5 percent from NGOs. [Ref. Fig. 4.8]

Among all the four types of services, vaccination was used in most cases (70 percent and over), followed

by treatment of sickness (22 percent cases). [Ref. Table A.25 of appendix]

91

120

165

183

220

365

391

437

714

721

978

1065

1398

0 200 400 600 800 1000 1200 1400 1600

Covalima

Manatuto

Oe-Cusse

Viqueque

Lautem

Baucau

Ainaro

Aileu

Ermera

Manufahi

Bobonaro

Dili

Liquica

Duck (Manu Rade)Fig. 4.6f: Total number of duck (Manu Rade) owned on the date

of enumeration Municipality

2.9%

4.6%

1.9%

0.0%0.5%1.0%1.5%2.0%2.5%3.0%3.5%4.0%4.5%5.0%

Large Head Livestock Small Head Livestock Poultry

Fig. 4.7: Percentage of agriculture households reporting any use of veterinary services by type of livestock: Timor Leste

55 | P a g e


MACHINERY AND EQUIPMENT Use of two types of equipment and machinery were reported in the agriculture census and they are makina

halo aihan ba Animal and Fatin fohan manu ba. Only 793 agricultural households reported using Fatin

fohan manu ba, and another 104 households used makina halo aihan ba Animal. They owned most of the

equipments and a few households, 77 and 7 households, respectively used it from government sources.

, 0.0%

Government, 68.3%

Private, 22.9%

NGO, 5.1%

Other, 3.7%

Fig. 4.8: Percentage of agriculture households reporting any use of veterinary services during last 12 months prior to the day of enumeration by source of use: Timor Leste

56 | P a g e

CHAPTER FIVE: FISHING AND AQUACULTURE

FISHING Fishing and aquaculture constituted an alternate or additional economic activity for agricultural households

in Timor Leste. Most households engaged in fishing were located near the available fishing grounds, likely

to be in the coastal areas. For the purposes of the census, fishing was defined as catching fish and other sea

and river species in rivers, coastal waters and other water bodies with our without use of boats and

specialized equipment.


Only 4 405 (3.1 percent) of all agricultural households were engaged in fishing. While about 48 percent of

them did so for a few days to few weeks during the last 12 months prior to the day of enumeration, the

remaining 52 percent did fishing more or less regularly or for some months during the reference period.

[Ref. Fig. 5.1]

Of the total number of households engaged in fishing, a large number of households were engaged solely

in fishing and a few were involved in fishing and other agricultural activities. About 3 632 (nearly 2 percent)

of all households in the country reported to depend solely on fishing for their livelihood.

Few days, 36.2%

Few weeks, 11.3%

Few months, 12.1%

More or less regularly,

40.5%

Fig. 5.1: Percentage of agricultural households engaged in fishing activity during last 12 months prior to the day of enumeration by

degree of partcipation: Timor Leste

57 | P a g e


Based on the number of households, Dili - a coastal and urban municipality - had the largest number of

agricultural households (1104) engaged in fishing as compared to other municipalities. Aileu, on the other

hand, reported 23 households engaged only in fishing activities, closely followed by Ermera with 63 and

Ainaro with 67. Other municipalities reporting more than 500 agricultural households engaged in fishing

included Baucau and Oe-cusse. [Ref. Fig. 5.2M]

TYPE OF VESSEL USED While 25 percent of agriculture households engaged in fishing did not use any vessel for fishing, among

those who did, the most commonly used vessel was a motorized vessel owned solely by household, reported

by some 35 percent of households. A further 18 percent reported ownership of non-motorized vessels

owned solely by the household. Another 9 percent of households used motorized vessels jointly owned by

different households and 4 percent each used non-motorized and motorised vessel lent from others.

Municipality level estimates may be seen in Table A.29 in the appendix. [Ref. Fig. 5.3]

2367

510

359

277

1104

63

216

480

314

106

531

355

0

200

400

600

800

1000

1200

Fig. 5.2M: Number of agricultural households engaged in fishing activity during last 12 months prior to the day of enumeration by municipality

Motorized vessel owned solely by

household, 35.2%

Motorized vessel jointly owned by

different households, 8.8%

Motorized vessel lent from others,

4.2%

Non-motorized vessel owned

solely by household,

18.2%

Non-motorized

vessel jointly owned by different

households, 4.8%

Non-motorized vessel lent from

others, 3.9%

No vessel used, 24.9%

Fig. 5.3: Percentage of agricultural households reporting use of vessel for fishing during last 12 months prior to the day of enumeration by type of vessel used: Timor Leste

58 | P a g e



MAIN PURPOSE OF FISHING Around 60 percent of the 4 405 agricultural households engaged in fishing in Timor Leste did so mainly to

meet their household consumption and occasional needs. Fishing mainly for sale was reported by 23 percent

of households, and for home consumption and social obligation was reported by another around 16 percent.

This was the pattern across the municipalities where a significant number of agriculture households were

engaged in fishing. [Ref. Fig. 5.4]

AQUACULTURE Aquaculture refers to the cultivation, under controlled conditions, of aquatic products such as fish,

crustaceans, seaweed and other aquatic resources in seas, lakes, rivers and swamps, or other bodies of water

such as ponds, pens and seaweed cultures. Around 4 543 agricultural households were engaged in

aquaculture activities in Timor Leste, representing just 3.2 percent of all agricultural households.

About 56 percent of the agriculture households engaged in aquaculture pursued the activities for a few days

to a few weeks during the last 12 months prior to the day of enumeration, while 44 percent did so more or

less regularly or for some months during the reference period. [Ref. Fig. 5.5]

Like fishing activity, a large number of agriculture households were solely engaged only in aquaculture and

a few were involved in fishing and other agricultural activities. About 2 069 (nearly 1 percent) of all

households in the country relied only on aquaculture activity for their livelihood. [Ref. Table A.1 of

appendix]

Home consumption

and Social Obligation,

16.5%

Home consumption

and occasional sale, 60.2%

Mainly for sale, 23.3%

Fig. 5.4: Percentage of agricultural households engaged in fishing during last 12 months prior to the day of enumeration by main

purpose of fishing: Timor Leste

59 | P a g e


Ermera had the largest number of households (973) engaged in aquaculture activity among all the

municipalities. Other municipalities with more than 500 agricultural households engaged in aquaculture

activity included Ainaro, Ailue and Baucau. Manatuto reported the least number with 72 households

engaged in aquaculture activities, closely followed by Dili with 83, Lautem with 109 and Liquica with 111

only. [Ref. Fig. 5.6]


PRODUCTION FACILITY Various types of production facilities were used for aquaculture activity in Timor Leste and were pond

culture, pen culture, cage culture, rice-cum-fish and hatchery/ nursery culture. Agricultural households

Few days, 48.5%

Few weeks, 7.2%

Few months, 12.0%

More or less regularly, 32.3%

Fig. 5.5: Percentage of agricultural households engaged in aquaculture activity during last 12 months prior to the day of enumeration by degree of partcipation: Timor Leste

72

83

109

111

117

248

258

268

417

522

594

771

973

0 200 400 600 800 1000 1200

Manatuto

Dili

Lautem

Liquica

Covalima

Oe-Cusse

Manufahi

Bobonaro

Viqueque

Baucau

Aileu

Ainaro

Ermera

Fig. 5.6: Number of agricultural households engaged in aquaculture activity during last 12 months prior to the day of enumeration by municipality

60 | P a g e

engaged in aquaculture activities reported that they operated more than one type of production facility. In

fact, 4 543 households engaged in aquaculture activities had 4 857 production facilities.


Eighty-three percent of the agricultural households engaged in aquaculture activities were involved in

breeding or rearing aquatic plants or animals in ‘pond culture’ enclosures. Another 14 percent were

involved in rice-cum-fish culture. Three percent were involved in pen culture (a net enclosure from above

water level down to the floor of the river, lake, sea, etc.). This feature on the type of facilities is more or

less seen across the municipalities (see Table A.30 in the appendix). [Ref. Fig. 5.7]

MACHINERY AND EQUIPMENT USED FOR FISHING AND AQUACULTURE The most commonly used equipment and facilities reported by those engaged in fishing and aquaculture

was gill net at 26 percent, followed by wood boat at 21 percent, kilat at 15 percent, tali senar and ketinting

outboard at 8 percent each. Aluminum boats were used least by only 16 agriculture households. Stock of

equipment/machinery owned by an agriculture household on average was around 39 for carrying out fishing

and aquaculture activity. [Ref. Fig. 5.8]

Most households (95 percent) reported use from their own source and some from private (3 percent) or

from government (1 percent) agencies. This feature remains the same across the municipalities (see Table

A.31 in the appendix).

Pond culture, 82.9%

Pen culture, 1.6%

Cage culture, 0.5% Rice-cum-fish culture, 13.8%

Hatchery/ nursery, 0.4%Others, 0.8%

Fig. 5.7: Percentage of aquaculture production facilities used during last 12 months prior to the day of enumeration by type production facility: Timor Leste

61 | P a g e


HIRED WORKERS ENGAGED IN AGRICULTURE Agriculture households reported to hire some 71 566 labors during the last 12 months prior to the date of

enumeration and of them, 69 percent were males and 31 percent females. Most of the hired labors worked

in the farm for full-time with 64 percent. On average agricultural households hired one agricultural worker

during the reference year.

Among hired labor, many worked on average for 5 or less days and they accounted for 69 percent. A small

number of hired workers, accounting for only 5 percent, worked for 15 days or more. The corresponding

percentages were 68 and 5 percent, respectively for male workers; and 74 and 3 percent, respectively for

female workers. The distribution of hired labor over male-female, full-time and part-time, and number of

days engaged, may be seen in Fig. 5.10 and Fig. 5.11. However country level pattern is reflected across the

municipalities (see Table A.32 in the appendix). [Ref. Figs. 5.9, 5.10M & 5.11M]

16

20

54

67

94

138

149

246

263

371

427

491

910

1265

1549

0 200 400 600 800 1000 1200 1400 1600 1800

Aluminum boat

Armadilha/bubu

Trammel Net

Fish aggregating device

Redi tipu Nilo

Fiber boat

Redi tipu Redi serku

Johnson Outboard

Yamaha Outboard

Stick Fish

Ketinting Outboard

Tali senar

Kilat

Wood boat

Gill Net

Fig. 5.8: Nunmber of agricultural households reporting use of machine and equipment during last 12 months prior to the day of enumeration for fishing and aquiculture: Timor

Leste

62 | P a g e



38.0%35.8%

16.3%

6.7%

0.6%2.5%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

0-1 days 2-5 days 6-8 days 9-14 days 15-19 days 20 days +

Malehiredworkers

Fealehiredworkers

Allhiredworkers

Fig. 5.9: Percentage of workers hired by agriculture households during last 12 months prior to the day of enumeration by average number of

days worked: Timor Leste

200

247

1078

2421

3291

3762

5937

6449

7684

9777

10001

10345

10374

0 2000 4000 6000 8000 10000 12000

Dili

Manufahi

Liquica

Aileu

Baucau

Manatuto

Bobonaro

Ainaro

Lautem

Ermera

Oe-Cusse

Covalima

Viqueque

Fig. 5.10M: Number of workers hired by agriculture households during last 12 months prior to the day of enumeration by municipality

63 | P a g e


TERMS OF PAYMENT TO HIRED LABOR More than 80 percent of labor hired for agriculture activities were paid in cash, while 14 percent were paid

in labor exchange. Remaining hired labor were paid either in farm produce (4 percent) or in other in-kind

payments (2 percent). Patterns across the municipalities is revealed in Fig. 5.13M. [Ref. Figs. 5.12 &

5.13M]


21

27

63

40

27

96

57

81

10

10

7

18

7

86

15

74

74

10

32

36

74

24

4

97

32

10

11

6

29

4

10

9 49

5

15

6

23

8

13

11

62

21

0

46 88

3 26

9

25

8

0

2000

4000

6000

8000

10000

12000

Average no. of days worked 0-14 days Average no. of days worked 15 days +

Fig. 5.11M: Number of workers hired by average number days worked during last 12 months prior to the day of enumeration by municipality

In cash, 80.5%

In farm produce, 3.8%

Exchange of labour, 14.1%

Other forms of in-kind payment, 1.6%

Fig. 5.12: Percentage of hired workers by main payment terms during last 12 months prior to the day of enumeration: Timor Leste

64 | P a g e


21

6 98

5

23

43

25

06 3

38

5

34

49

54

10 61

81

66

77

81

90

82

00

99

01

31 93

78

78

5

30

64

31

3

52

7

15

02

36

68

15

87

18

01

47

3

24

7 10

78

24

21 3

29

1

64

49

37

62

59

37

76

83

10

34

5

97

77

10

00

1

10

37

4

0

2000

4000

6000

8000

10000

12000

Manufahi Liquica Aileu Baucau Ainaro Manatuto Bobonaro Lautem Covalima Ermera Oe-Cusse Viqueque

In cash Other form Total

Fig. 5.13M: Number of hired workers by main payment terms during last 12 months prior to the day of enumeration by municipality

65 | P a g e

CHAPTER SIX: AGRICULTURAL HOUSEHOLDS AND POPULATION

HOUSEHOLDS While the estimated number of private households in Timor Leste totaled 204 597 in PHC 2015, the

agricultural census in 2019 counted a higher figure of 213 417 households, for a 4.3 percent growth over a

period of a little more than 4 years. The households that were counted at the time of enumeration reported

including some 1.21 million people in 2019, of which 764 216 were living within agricultural holdings,

accounting for 63 percent of the total population of the country. The average size of a household was 5.7

while the average size of an agriculture household was 5.4. There were almost equal numbers of males

(50.4 percent) and females (49.6 percent) within the agricultural household population.

Around 66 percent of agricultural households counted in TLAC 2019 reported engaging in crop cultivation

and/or raising livestock and poultry within their own agricultural holdings.


Baucau had the highest percentage of their people living in agriculture households, while Manatuto had the

lowest. Besides, Ermera, Bobonaro, Oe-cusse, Viqueque and Liquica were the top six most populous

municipalities each with 60 000 or more people in agricultural households. [Ref. Fig. 6.1M]

POPULATION BY AGE GROUP Males and females aged between 10 and 19 years old constituted the largest age group, accounting for

around 25 percent of all agricultural household members, followed by 20 to 29 year olds who accounted

for around 16 percent. There were 1 percent more males than females in the 10 to 19 age group; almost

equal numbers in the 20 to 29 age group; and 1 percent more females than males in the 60 years and above

age group. Agricultural household members aged below 10 years constituted some 24 percent of the total

population in agricultural households. [Ref. Fig. 6.2]

33

,97

7

35

,28

2

41

,82

8

43

,90

2

47

,03

2

53

,07

6

53

,13

1

61

,25

5

62

,07

5

65

,21

4 76

,00

6

93

,81

7

97

,62

1

0

20,000

40,000

60,000

80,000

100,000

120,000

M

AN

ATU

TO

M

AN

UFA

HI

A

ILEU

A

INA

RO

D

ILI

L

AU

TEM

C

OV

ALI

MA

L

IQU

ICA

V

IQU

EQU

E

O

ECU

SSE

B

OB

ON

AR

O

E

RM

ERA

B

AU

CA

U

Fig. 6.1M: Population of agriculture households by municipality

66 | P a g e


RELATIONSHIP TO HOUSEHOLD HEAD For all households, the household head constituted 18 percent of the total population. The proportion of the

male heads (29 percent) to the total male populations was greater than the proportion of the female heads

(6 percent) to the total female population. On the other hand, only 1 percent of the total male population

self-identified as spouses to a female household head, compared to the 28 percent of the female population

that self-identified as a spouse of a male household heads. Sons and daughters composed the highest

percentage of the total population, reported at 50 percent.

EDUCATION ATTAINMENT About 30 percent of the total population aged 3 years and older of agricultural households reported no

schooling, and a further 32 percent reported their highest educational attainment at primary or pre-

school/kindergarten. Another 14 percent completed pre-secondary level, 15 percent completed secondary

and 3 percent completed university level education. Generally, few members of agricultural households

completed higher education, and participation was lower for females than males. For example, 22 percent

of the male population aged 3 years and older completed secondary and above level of education, whereas

20 percent of females in the same age-group achieved that level. Moreover, 33 percent of the females

reported no schooling against that of 28 percent of males in agricultural households. [Ref. Fig. 6.3].

24

.1%

25

.3%

15

.1%

10

.8%

8.4

%

7.0

% 9.2

%

23

.3%

24

.4%

15

.8%

11

.4%

8.6

%

6.6

% 10

.0%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

0-9 10-19 20-29 30-39 40-49 50-59 60 yrs & above

Male Female

Fig. 6.2: Percentage of population of agriculture households by age-group (yrs.): Timor Leste

67 | P a g e


STATUS OF MAIN ECONOMIC ACTIVITY Status of main economic activity refers to the main or usual activity undertaken most of the time during the

past week by each household member 10 years old and over. A household member might operate his/her

own farm or business or engage independently in a profession or trade and employ one or more paid

workers, or generate his/her income directly from customers, clients or other organizations including

activities in agriculture sector for subsistence or sale, or work in the household farm or business without

pay of any kind and in return for shares his/her livelihood from the household as a member. Besides, a

person may work for a government/ private firm or company such as hotels, restaurants, departmental store,

etc. for wage or salary. All such persons are considered as workers.

Persons not working are considered unemployed if they are available for work and seeking work. The labour

force consists of workers, as defined above, and the unemployed. There is a third category of persons in the

population who are neither working nor seeking nor available for work, such as, full-time homemakers,

students, retired persons, etc., and they are called persons out of labor force.

6.0

%

26

.2%

14

.0%

15

.4%

1.9

% 3.4

%

30

.4%

2.7

%

6.3

%

27

.6%

13

.5% 15

.8%

2.2

% 3.9

%

28

.2%

2.5

%

5.7

%

24

.8%

14

.5%

15

.1%

1.6

% 2.9

%

32

.6%

2.9

%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

Pre school/kindergarten

Primary Pre Secondary Secondary Diploma University No Schooling Do not know

TIMOR-LESTE Male Female

Fig. 6.3: Percentage of population (3 yrs. +) of agriculture households by education level: Timor Leste

68 | P a g e


Thirty seven percent of the population age 10 years and above reported working or available for work, that

is, they were in the labor force, while 32 percent reported working – indicating that 5 percent of population

aged 10 years and above were unemployed (not working and seeking and available for work). As much as

63 percent of the population was out of the labor force, and consisted of homemakers, students, retired

persons, disabled persons and other persons who were neither working nor seeking/available for work. The

difference between male and female is pronounced: more males than females reported working and

available for work, as can be seen in Fig. 6.4. On the other hand, more females than males were out of labor

force. [Ref. Fig. 6.4]

INDUSTRY OF ACTIVITY About 44 percent of workers reported to be engaged in the growing of non-perennial crops, followed by

mixed farming (31 percent) and growing of perennial crops (9 percent). Other activities, such as plant

propagation tubers, support activities to agriculture, logging, hunting trapping and related service, fishing,

aquaculture, etc., accounted for 11 percent. There was a marginal difference in this pattern between male

workers and female workers as can be seen in Table 5.1 below. [Ref. Fig. 6.5]

Tim

or

Lest

e, 3

6.7

%

Tim

or

Lest

e, 3

1.5

%

Tim

or

Lest

e, 6

3.3

%

Mal

e, 5

7.4

%

Mal

e, 5

0.2

%

Mal

e, 4

2.6

%

Fem

ale,

16

.0%

Fem

ale,

12

.8%

Fem

ale,

84

.0%

0.0%

10.0%

20.0%

30.0%

40.0%

50.0%

60.0%

70.0%

80.0%

90.0%

Persons in labour force Persons working Persons out of labour force

Fig. 6.4: Percentage of population (10 yrs.+) of agriculture households by status of main economic activity: Timor Leste

69 | P a g e


Table 5.1: Percentage of working population (10 yrs.+) of agriculture

households by industry of activity: Timor Leste

Sex of Worker

Growing of non-perennial crops

Growing of perennial crops

Mixed farming

Animal production

Other activities

All 43.6% 8.5% 31.1% 5.8% 10.9%

Male 43.6% 8.9% 31.1% 5.9% 10.5%

Female 43.6% 7.0% 31.2% 5.4% 12.8%

OCCUPATION About 45 percent of the working population reported growing of field crops and vegetables as their main

occupation in Timor Leste, which was slightly lower among working males (44 percent) compared to

working females (46 percent). About 16 percent of male workers reported growing trees and shrub crops

as their main occupation, compared to 14 percent of female workers; while growing of mixed crop and

livestock raising was reported as the main occupation by 8 percent and 6 percent of male and female

workers, respectively. [Ref. Fig. 6.6]

Growing of non-perennial crops,

43.6%

Growing of perennial crops,

8.5%

Mixed farming, 31.1%

Animal production,

5.8%

Rest of the activities, 10.9%

Fig. 6.5: Percentage of working Population (10 yrs.+) of agriculture households by industry of activity: Timor Leste

70 | P a g e


44

.5%

15

.8%

7.9

% 11

.9%

4.5

%

0.6

%

14

.8%

43

.7%

16

.4%

8.4

% 11

.9%

4.6

%

0.6

%

14

.4%

47

.6%

13

.4%

5.9

%

11

.8%

4.3

%

0.9

%

16

.2%

0.0%

5.0%

10.0%

15.0%

20.0%

25.0%

30.0%

35.0%

40.0%

45.0%

50.0%

Field Crop andVegetableGrowers

Tree and ShrubCrop Growers

Mixed Crop andAnimal Producers

Mixed CropGrowers

Livestock andDairy Producers

PoultryProducers

Rest of theoccupations

Timor Leste Male Female

Fig. 6.6: Percentage of working population (10 yrs.+) of agriculture households by occupation: Timor Leste

71 | P a g e

APPENDIX 1: DETAILED TABLES

72 | P a g e

Table A.1: Number of households listed, total population enumerated, no. of agriculture household holdings listed, total farm population

enumerated, number of institutions listed and farm institutions listed by Municipality/Sub-municipality: TLAC 2019

Municipality/Sub-

municipality

Num

ber

of

EA

s

enum

erat

ed

Tota

l num

ber

of

house

hold

s li

sted

Tota

l popula

tion

enum

erat

ed

Tota

l fa

rm h

ouse

hold

list

ed

Tota

l fa

rm p

opula

tion

enum

erat

ed

Tota

l num

ber

of

house

hold

s en

gag

ed

only

in f

ishin

g l

iste

d

Tota

l num

ber

of

fish

ing h

ouse

hold

s

list

ed

Tota

l num

ber

of

house

hold

s en

gag

ed

only

in a

quac

ult

ure

list

ed

Tota

l num

ber

of

aquac

ult

ure

house

hold

s li

sted

Num

ber

of

fish

ing

and/o

r aq

uac

ult

ure

house

hold

s

Tota

l num

ber

of

inst

ituti

ons

list

ed

Tota

l num

ber

of

Far

m

inst

ituti

ons

list

ed

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Aileu Aileu Vila 57 4325 25527 3329 20240 3 4 293 361 361 52 17

Laulara 18 1218 7390 1091 6704 23 41 41 5 1

Lequidoe 21 1224 6590 1200 6541 2 84 142 143 10 5

Remexio 25 1939 12235 1773 11595 1 1 5 11 11 22 6

Ainaro Ainaro Vila 29 2791 17428 1960 12372 2 5 86 96 98 33 2

Hato-Udo 15 1958 9189 1702 7775 47 51 42 53 85 24 3

Hato-Builico 19 1780 10965 1482 9105 3 33 45 48 40 7

Maubisse 45 3883 23674 2386 15211 3 9 78 309 310 68 6

Baucau Baguia 39 2321 12745 1844 9914 2 3 10 13 14 17 1

Baucau 67 8356 49378 6046 36229 169 199 45 59 245 49 16

Laga 45 3419 17751 2778 14309 122 136 2 15 150 19 2

Quelicai 62 3538 17471 3248 16159 1 11 45 56 61 14 4

Vemasse 28 1881 10087 1565 8480 91 129 15 22 150 6 1

Venilale 36 3266 17692 2885 15979 4 17 160 234 240 23 8

Bobonaro Atabae 22 2161 12598 1923 11562 204 222 28 33 245 14 21

Balibo 38 3063 15733 2632 13871 98 115 58 66 173 43 13

Bobonaro 64 4622 23822 3644 19535 2 9 11 34 42 93 20

Cailaco 28 2108 11285 1840 10342 1 3 16 27 28 101 3

Lolotoe 28 1579 8104 1472 7661 2 4 14 18 21 66 3

Maliana 53 4640 26112 2954 16499 1 1 57 93 94 53 17

73 | P a g e

Table A.1 Contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Covalima Fatululic 6 407 2065 397 2056 4 5 5 6 7 2

Fatumean 10 640 3237 613 3126 2 3 4 5 5 10 1

Fohorem 9 847 4215 772 3910 4 4 41 43 46 20 2

Maucatar 16 1744 9422 1564 8474 9 9 3 4 11 33 9

Suai 42 4688 26172 3396 19080 161 167 7 12 177 90 11

Tilomar 18 1665 8400 1512 7776 50 52 15 18 67 14 9

Zumalai 35 2527 13458 2148 11808 35 38 9 35 72 19 3

Dili Atauro 19 1815 7832 1630 7098 590 689 2 11 696 11 8

Cristo Rei 56 9346 63522 2640 17043 190 206 17 37 234 75 22

Dom Aleixo 62 22415 147816 1662 12247 79 89 10 30 113 136 13

Metinaro 8 893 4888 462 2671 49 55 8 9 62 9 2

Nain Feto 23 4868 32694 475 3718 25 26 3 11 36 262 2

Vera Cruz 43 6046 34315 730 5424 8 9 8 18 25 19 3

Ermera Atsabe 114 3344 16779 2487 13654 1 11 53 126 133 21 1

Ermera 60 5873 34665 3994 24471 5 19 44 241 247 74 22

Hatulia 89 6718 38639 5128 30504 1 17 139 344 354 43 11

Letefoho 58 4054 21966 3402 19106 2 7 18 42 46 38 18

Railaco 42 2046 11125 1472 8106 2 2 21 37 37 43 34

Lautem Iliomar 19 1516 7792 1258 6635 12 12 15 15 26 3 6

Lautém 47 2997 17434 2453 14544 147 154 20 24 165 23 2

Lospalos 47 5737 33147 4129 24710 11 15 15 23 36 54 9

Luro 19 1396 7936 1227 7091 1 2 30 40 41 29 6

Tutuala 13 518 1399 457 1240 31 31 2 4 35 19 1

Liquica Bazartete 36 4844 31292 3929 26138 159 193 36 54 226 55 18

Liquiçá 29 4088 24617 2796 17392 120 125 23 27 152 41 6

Maubara 42 4142 22904 3429 20289 139 144 8 29 170 23 23

74 | P a g e

Table A.1Contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Manatuto Barique 17 1152 6278 954 5387 19 20 6 17 34 9 12

Lacló 23 1358 8616 1027 6660 93 106 9 23 127 13 3

Laclubar 24 1873 11914 1532 9977 1 1 3 7 8 18 2

Laleia 9 768 4001 650 3484 28 46 1 2 48 13 1

Manatuto 26 2294 14429 1053 7031 95 127 6 8 134 29 4

Soibada 11 485 3149 446 2971 15 17 17 4 2

Manufahi Alas 17 1108 5935 1026 5641 34 35 3 13 46 19 13

Fatuberlio 16 1253 6451 1115 5989 10 16 9 19 31 31 17

Same 46 5478 29766 3940 22460 47 50 125 185 230 105 24

Turiscai 24 1192 6995 910 5379 1 6 6 10 29 5

Oe-Cusse Nitibe 32 2891 12991 2668 12467 97 107 9 35 134 49 29

Oesilo 22 2601 11872 2403 11199 5 7 9 22 23 28 8

Pante Macassar

56 8009 39460 7024 36042 296 343 45 82 415 74 34

Passabe 15 1933 9039 1703 8188 2 2 2 9 1

Viqueque Lacluta 18 1439 6515 1235 5848 2 2 3 5 9 2

Ossu 57 3428 17169 2950 14913 2 4 84 104 107 57 11

Uato-Lari 45 4052 17741 3306 14393 104 122 26 52 169 51 8

Uato-Carbau 21 1627 8081 1436 7563 52 57 24 101 151 21 10

Viqueque 57 5230 24161 3847 17915 156 166 32 142 298 28 13

Timor Leste

2237 213417 1208070 141141 791901 3632 4223 2069 3813 7768 2514 597

75 | P a g e

Table A.2: Number of agricultural households enumerated by type of agricultural activities undertaken for each Municipality/Sub-municipality: TLAC 2019

Municipality/Sub-municipality

Cro

p/p

lant

gro

wn No. of large animals reared No. of small animals reared

Number of poultry birds kept

Tota

l fa

rm h

ouse

hold

enum

erat

ed

Engaged in fishery

activities

Engaged in aquaculture

activities Total

number of

households

enumer

ated 0 to 3 3 to 5

5 or more

0 to 3 3 to 5 5 or more

0 to 5 5 to 10 10 or more

Hav

ing a

ny o

f

the

spec

ifie

d

asse

t N

ot

hav

ing a

ny

spec

ifie

d a

sset

Hav

ing

spec

ifie

d a

rea

Not

hav

ing

spec

ifie

d a

rea

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

Aileu Aileu Vila

3320 3426 494 352 2939 756 575 3695 477 98 3329 3 1 293 68 4325

Laulara 1110 1128 57 28 778 244 191 1022 151 40 1091 23 18 1218

Lequidoe 1186 1031 116 70 713 286 217 999 175 42 1200 2 84 58 1224

Remexio 1716 1558 197 169 1033 468 423 1501 317 106 1773 1 5 6 1939

Ainaro Ainaro

Vila

1675 2003 303 476 1842 434 505 2276 370 135 1960 2 3 86 12 2791

Hato-Udo 1376 1051 270 624 645 303 997 948 411 586 1702 48 3 42 13 1958

Hato-Builico

1222 1488 176 104 1389 244 135 1633 115 20 1482 3 33 12 1780

Maubisse 2384 3313 357 184 3169 434 251 3603 234 17 2386 3 6 79 230 3883

Baucau Baguia 1224 1521 238 552 1360 544 406 1904 295 111 1844 2 1 10 3 2321

Baucau 5191 7549 316 462 4399 1476 2450 5875 1285 1165 6046 169 31 46 14 8356

Laga 2163 2596 214 593 1398 627 1378 2025 773 605 2778 122 14 2 13 3419

Quelicai 2886 2776 315 424 1577 891 1047 2468 730 317 3248 1 10 45 11 3538

Vemasse 1316 1392 166 316 842 354 678 1196 359 319 1565 91 38 15 8 1881

Venilale 2362 2288 400 564 1586 767 898 2353 664 234 2885 4 14 160 74 3266

Bobonaro Atabae 1285 1193 327 610 653 411 1066 1064 630 436 1923 204 17 28 5 2161

Balibo 2206 1988 365 687 1314 577 1149 1891 698 451 2632 99 17 58 8 3063

76 | P a g e

Table A.2 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

Bobonaro 2602 3414 602 566 2720 1008 854 3728 710 144 3644 2 6 11 23 4622

Cailaco 1257 1156 356 585 573 377 1147 950 625 522 1840 1 2 16 11 2108

Lolotoe 1373 1014 232 325 1257 164 150 1421 121 29 1472 2 3 14 4 1579

Maliana 2347 3674 347 582 3038 760 806 3798 616 190 2954 1 1 57 38 4640

Covalima Fatululic 279 93 102 206 122 104 174 226 99 75 397 4 1 5 1 407

Fatumean 582 226 113 293 253 106 273 359 172 101 613 2 1 4 1 640

Fohorem 459 370 113 363 291 156 399 447 234 165 772 4 41 2 847

Maucatar 1108 1063 239 426 618 345 764 963 500 264 1564 9 3 1 1744

Suai 2294 3228 595 831 2345 823 1485 3168 997 488 3396 161 6 7 5 4688

Tilomar 1205 924 237 488 655 299 695 954 413 282 1512 50 2 15 3 1665

Zumalai 1608 1555 333 630 935 426 1154 1361 688 466 2148 35 3 9 26 2527

Dili Atauro 1581 1721 22 55 635 331 832 966 495 337 1630 590 100 2 9 1815

Cristo Rei 2071 9084 107 118 7705 734 868 8439 622 246 2640 190 15 17 20 9346

Dom Aleixo

614 22329 27 18 21195 607 571 21802 447 124 1662 79 10 10 20 22415

Metinaro 306 711 96 81 549 129 210 678 140 70 462 49 6 8 1 893

Nain Feto 434 4860 1 2 4501 209 153 4710 120 33 475 25 1 3 8 4868

Vera Cruz

1636 6011 8 10 5457 312 258 5769 197 61 730 8 1 8 10 6046

Ermera Atsabe 1743 2753 265 298 2291 643 379 2934 310 69 2487 1 10 53 73 3344

Ermera 4449 5414 298 110 4385 900 536 5285 433 103 3994 5 14 44 196 5873

Hatulia 4898 5638 582 460 4245 1192 1240 5437 855 385 5128 1 16 139 207 6718

Letefoho 3254 3668 238 107 2794 674 545 3468 428 117 3402 3 5 19 24 4054

Railaco 1451 1778 133 81 1294 274 423 1568 281 142 1472 2 1 21 16 2046

Lautem Iliomar 1010 862 164 477 579 316 608 895 358 250 1258 12 15 1516

Lautém 2027 2048 250 690 1269 575 1142 1844 653 489 2453 147 7 20 4 2997

Lospalos 3191 3748 479 1468 3254 873 1568 4127 1032 536 4129 12 4 15 8 5737

Luro 1137 738 167 477 756 324 302 1080 226 76 1227 1 1 30 10 1396

77 | P a g e

Tutuala 365 247 74 192 152 95 266 247 176 90 457 31 2 2 518

Table A.2contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

Liquica Bazartete 3502 4217 346 255 2669 939 1210 3608 788 422 3929 159 34 36 17 4844

Liquiçá 2245 3759 221 90 2560 747 763 3307 572 191 2796 120 5 24 4 4088

Maubara 2640 3258 426 415 1592 924 1583 2516 1031 552 3429 139 6 8 23 4142

Manatuto Barique 887 616 194 320 599 171 360 770 238 122 954 19 1 6 11 1152

Lacló 922 905 153 289 605 253 489 858 334 155 1027 93 13 9 14 1358

Laclubar 1570 1462 230 171 1180 386 295 1566 249 46 1532 1 3 4 1873

Laleia 521 467 57 238 321 125 317 446 191 126 650 28 18 1 1 768

Manatuto 960 1905 90 287 1515 260 506 1775 293 213 1053 95 32 6 2 2294

Soibada 400 312 66 102 246 79 155 325 91 64 446 15 2 485

Manufahi Alas 684 520 195 379 587 178 328 765 175 153 1026 34 1 3 10 1108

Fatuberlio 1082 657 178 398 708 274 251 982 196 55 1115 10 6 9 10 1253

Same 3332 4381 457 595 3617 744 1072 4361 770 302 3940 48 3 125 60 5478

Turiscai 631 808 175 197 799 220 161 1019 127 34 910 1 5 7 1192

Oe-Cusse Nitibe 2196 1568 538 752 1086 537 1232 1623 814 418 2668 97 10 9 27 2891

Oesilo 1886 1736 456 390 1042 530 1010 1572 648 362 2403 5 2 9 13 2601

Pante Macassar

6362 6062 876 1006 4001 1383 2559 5384 1708 851 7024 296 46 45 37 8009

Passabe 1331 1324 332 272 848 370 710 1218 393 317 1703 2 1933

Viqueque Lacluta 1039 658 255 513 771 267 387 1038 280 107 1235 2 3 1439

Ossu 2237 1903 415 1084 1799 777 824 2576 589 235 2950 2 2 84 20 3428

Uato-Lari 2333 2616 334 1079 1529 929 1571 2458 972 599 3306 104 17 26 26 4052

Uato-Carbau

1376 750 183 680 708 333 571 1041 317 254 1436 52 5 24 77 1627

Viqueque 2792 3039 504 1647 2511 920 1757 3431 1089 668 3847 156 10 32 109 5230

Timor Leste 118831 167551 17172 27313 130798 32918 48279 163716 31497 16782 141141 3637 592 2073 1753 213417

78 | P a g e

TableA.3: Number of household agricultural holdings enumerated by type of holding and sex of holder, and number of farm institutions enumerated by

type of holding for each Municipality/Sub-municipality: TLAC 2019

Municipality/ Sub-municipality

Household agricultural holdings Total Farm Institutions

Total Individual Joint

Male holder

Female holder

Total

Corp

o-

rati

on

Coope-

rati

ve

Gover

-

nm

ent Religious

institution/Non Profit Institution

Male holder

Female holder

Male holder

Female holder

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Aileu Aileu Vila 2567 474 235 53 2802 527 3329 8 4 3 2 17

Laulara 935 144 11 1 946 145 1091 1 1

Lequidoe 1002 144 40 14 1042 158 1200 1 2 2 5

Remexio 1565 171 30 7 1595 178 1773 3 3 6

Ainaro Ainaro Vila 1428 335 155 42 1583 377 1960 1 1 2

Hato-Udo 1414 284 4 1418 284 1702 2 1 3

Hato-Builico 1281 181 18 2 1299 183 1482 1 1 3 2 7

Maubisse 2131 225 26 4 2157 229 2386 2 3 1 6

Baucau Baguia 1577 267 1577 267 1844 1 1

Baucau 5098 804 128 16 5226 820 6046 9 7 16

Laga 2341 433 4 2345 433 2778 1 1 2

Quelicai 2543 686 16 3 2559 689 3248 2 2 4

Vemasse 1273 249 36 7 1309 256 1565 1 1

Venilale 2400 289 182 14 2582 303 2885 4 1 3 8

Bobonaro Atabae 1645 244 30 4 1675 248 1923 5 12 4 21

Balibo 2027 573 21 11 2048 584 2632 5 2 6 13

Bobonaro 2913 694 30 7 2943 701 3644 10 9 1 20

Cailaco 1500 285 44 11 1544 296 1840 2 1 3

Lolotoe 1263 206 2 1 1265 207 1472 3 3

Maliana 2232 608 88 25 2321 633 2954 1 6 5 5 17

79 | P a g e

Table A.3 contd………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Covalima Fatululic 296 101 296 101 397

Fatumean 531 76 4 2 535 78 613 1 1

Fohorem 568 79 108 17 676 96 772 1 1 2

Maucatar 1109 423 23 9 1132 432 1564 4 4 1 9

Suai 2848 537 9 2 2857 539 3396 2 6 3 11

Tilomar 1286 186 34 6 1320 192 1512 1 5 2 1 9

Zumalai 1710 344 86 8 1796 352 2148 2 1 3

Dili Atauro 1367 248 13 2 1380 250 1630 6 2 8

Cristo Rei 2219 358 52 11 2271 369 2640 2 10 10 22

Dom Aleixo 1431 202 25 4 1456 206 1662 4 9 13

Metinaro 400 62 400 62 462 2 2

Nain Feto 308 62 89 16 397 78 475 2 2

Vera Cruz 586 130 12 2 598 132 730 3 3

Ermera Atsabe 2000 386 82 19 2082 405 2487 1 1

Ermera 3474 478 34 8 3508 486 3994 1 11 7 3 22

Hatulia 4358 594 153 23 4511 617 5128 3 3 5 11

Letefoho 2931 468 3 2934 468 3402 6 10 2 18

Railaco 1158 253 49 12 1207 265 1472 4 11 5 14 34

Lautem Iliomar 1065 185 8 1073 185 1258 3 3 6

Lautém 1976 457 15 5 1991 462 2453 1 1 2

Lospalos 3079 1029 17 4 3096 1033 4129 3 2 4 9

Luro 1071 135 19 2 1090 137 1227 4 2 6

Tutuala 354 92 8 3 362 95 457 1 1


Liquiçá 2294 326 141 35 2435 361 2796 3 3 6

Maubara 2797 609 20 3 2817 612 3429 2 9 6 6 23

80 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Manatuto Barique 835 109 9 1 844 110 954 1 3 4 4 12

Lacló 866 99 54 8 920 107 1027 1 2 3

Laclubar 1134 389 9 1143 389 1532 1 1 2

Laleia 505 122 19 4 524 126 650 1 1

Manatuto 808 237 5 3 813 240 1053 3 1 4

Soibada 397 47 2 399 47 446 1 1 2

Manufahi Alas 880 81 58 7 938 88 1026 4 6 3 13

Fatuberlio 977 132 5 1 982 133 1115 6 2 9 17

Same 2903 472 516 49 3419 521 3940 15 6 3 24

Turiscai 808 99 3 811 99 910 4 1 5

Oe-Cusse Nitibe 2142 455 48 23 2190 478 2668 1 5 18 5 29

Oesilo 2013 386 2 2 2015 388 2403 5 3 8

Pante Macassar

5940 965 108 11 6048 976 7024 1 11 10 12 34

Passabe 1463 235 4 1 1467 236 1703 1 1

Viqueque Lacluta 1057 148 24 6 1081 154 1235 2 2

Ossu 2484 458 6 2 2490 460 2950 8 2 1 11

Uato-Lari 2817 458 28 3 2845 461 3306 4 2 2 8

Uato-Carbau 1197 233 6 1203 233 1436 2 5 3 10

Viqueque 3264 556 25 2 3289 558 3847 5 4 4 13

Total 116279 21275 3043 543 119323 21818 141141 26 237 163 171 597

81 | P a g e

Table A.4: Number of household agricultural holdings by size of the agricultural holding by Municipality/ Sub-municipality: TLAC 2019


Size of the agricultural holding (ha.) Total Household

Agricultural Holdings

<0.02ha. 0.02 ha. - 0.99 ha.

1.00 ha. - 3.99 ha.

4.00 ha. - 9.99 ha.

10.00 ha. - 19.99 ha.

20.00 ha. - 49.99 ha.

50.00 ha. - 99.99 ha.

100 ha. and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 314 1667 1292 52 1 2 1 3329

Laulara 108 556 237 49 78 53 10 1091

Lequidoe 36 526 569 63 3 2 1 1200

Remexio 66 1034 619 50 3 1 1773

Ainaro Ainaro Vila 851 661 396 34 8 8 1 1 1960

Hato-Udo 348 984 361 7 1 1 1702

Hato-Builico 60 1084 258 65 6 4 3 2 1482

Maubisse 130 1418 669 103 29 8 11 18 2386

Baucau Baguia 728 491 522 93 6 2 2 1844

Baucau 1436 2294 2083 193 31 8 1 6046

Laga 459 1487 749 71 6 4 2 2778

Quelicai 300 1963 912 68 1 3 1 3248

Vemasse 332 706 462 49 9 6 1 1565

Venilale 372 1438 914 78 19 14 33 17 2885

Bobonaro Atabae 99 1184 574 36 23 5 1 1 1923

Balibo 204 1282 377 315 360 91 3 2632

Bobonaro 744 1508 1091 69 65 118 16 33 3644

Cailaco 406 873 513 40 5 2 1 1840

Lolotoe 112 579 340 165 154 103 15 4 1472

Maliana 310 1576 849 83 59 49 21 7 2954

Covalima Fatululic 9 45 309 31 3 397

Fatumean 33 210 353 11 2 1 2 1 613

Fohorem 163 559 40 9 1 772

82 | P a g e

Table A.4 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Maucatar 298 730 480 48 6 1 1 1564

Suai 119 1872 1365 22 7 7 4 3396

Tilomar 38 612 850 8 1 3 1512

Zumalai 183 819 1020 91 4 15 15 1 2148

Dili Atauro 607 691 323 1 4 2 2 1630

Cristo Rei 961 1013 577 86 1 1 1 2640

Dom Aleixo 780 683 156 7 2 31 3 1662

Metinaro 174 157 7 1 2 6 113 2 462

Nain Feto 313 148 12 2 475

Vera Cruz 616 87 26 1 730

Ermera Atsabe 45 818 1401 198 17 2 5 1 2487

Ermera 1218 2019 640 67 7 5 27 11 3994

Hatulia 1917 1281 1534 333 39 20 2 2 5128

Letefoho 604 1691 875 153 26 41 11 1 3402

Railaco 105 349 850 99 53 13 2 1 1472

Lautem Iliomar 112 549 511 76 7 3 1258

Lautém 642 1203 576 23 2 6 1 2453

Lospalos 350 2539 1148 71 12 6 2 1 4129

Luro 63 540 593 28 2 1 1227

Tutuala 196 71 153 31 6 457

Liquica Bazartete 610 2220 1038 48 8 5 3929

Liquiçá 55 1178 1200 283 54 17 8 1 2796

Maubara 360 1977 1016 69 6 1 3429

Manatuto Barique 328 392 219 3 3 7 2 954

Lacló 571 222 174 59 1 1027

Laclubar 1068 429 28 7 1532

Laleia 221 314 111 4 650

83 | P a g e

Table A.4 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Manatuto 550 458 27 2 11 5 1053

Soibada 73 237 101 26 8 1 446

Manufahi Alas 47 290 620 33 6 17 11 2 1026

Fatuberlio 147 301 599 52 8 6 2 1115

Same 454 1811 1481 171 13 5 3 2 3940

Turiscai 26 27 592 213 30 16 3 3 910

Oe-Cusse Nitibe 306 1429 837 52 20 14 8 2 2668

Oesilo 380 1523 407 80 1 6 6 2403

Pante Macassar 1255 4980 735 39 5 8 1 1 7024

Passabe 539 150 1009 4 1 1703

Viqueque Lacluta 273 692 254 13 3 1235

Ossu 726 1267 919 37 1 2950

Uato-Lari 1068 1063 1040 95 26 13 1 3306

Uato-Carbau 273 405 627 113 12 6 1436

Viqueque 1243 1491 1062 29 7 7 6 2 3847

Timor Leste

27534 64853 41682 4510 1291 784 363 124 141141

84 | P a g e

Table A.5: Area (Ha) of household agricultural holdings by size of the agricultural holding by Municipality/ Sub-municipality: TLAC 2019

All Holders


Size of the agricultural holding Total area (ha.) of Household Agricultural

Holdings <0.02 has.

0.02 ha. - 0.99 ha.

1.00 ha. - 3.99 has.

4.00 has. - 9.99 has.

10.00 has. - 19.99 has.

20.00 has. - 49.99

has.

50.00 has. - 99.99 has.

100 ha. and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 2.6 603.5 1860.2 259.4 26.3 142.0 55.0 2949.0

Laulara 1.6 214.5 335.8 270.8 914.9 1328.5 571.0 3637.0

Lequidoe 0.2 173.7 1080.5 294.7 47.6 25.0 1900.0 3521.7

Remexio 1.0 380.8 1076.8 260.4 24.0 40.6 1783.7

Ainaro Ainaro Vila 8.0 171.1 649.1 199.6 87.8 255.0 90.0 160.0 1620.5

Hato-Udo 1.9 216.3 527.5 49.0 125.0 100.0 1019.7

Hato-Builico 0.3 314.6 484.6 320.0 67.0 129.0 200.0 200.0 1715.5

Maubisse 0.4 438.0 1115.3 566.2 426.3 313.0 1268.5 3568.9 7696.7

Baucau Baguia 9.4 119.3 909.6 510.2 86.8 45.0 100.0 810.0 2590.3

Baucau 17.0 527.4 3111.1 1033.8 362.6 363.6 150.0 5565.6

Laga 5.7 491.4 1114.6 335.9 57.0 107.4 128.5 2240.4

Quelicai 4.3 541.7 1406.7 419.5 54.3 24.0 279.5 2730.1

Vemasse 4.1 177.5 638.3 241.3 85.1 150.0 70.0 1366.3

Venilale 5.0 337.1 1542.3 542.7 223.7 428.6 890.0 7266.0 11235.3

Bobonaro Atabae 1.3 328.5 802.4 169.7 228.8 121.1 169.0 1820.8

Balibo 2.2 267.4 720.7 1891.6 4005.0 2051.6 292.5 300.1 9531.1

Bobonaro 6.7 350.5 1540.3 396.5 673.7 2936.9 1410.6 6781.0 14096.2

Cailaco 3.7 207.3 713.1 191.3 139.9 176.7 50.2 1482.2

Lolotoe 1.2 128.2 575.1 893.4 1862.6 2668.9 931.9 135.0 7196.3

Maliana 2.6 361.0 1182.8 472.1 621.4 1589.4 1678.0 1221.8 7129.2

85 | P a g e

All Holders Table A.5 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Covalima Fatululic 0.0 23.7 407.3 144.9 35.5 611.4

Fatumean 0.1 107.8 414.0 52.5 20.0 101.0 100.0 795.4

Fohorem 2.6 122.8 41.0 78.7 28.0 25.1 50.6 348.7

Maucatar 2.3 229.0 714.5 226.4 78.3 30.0 80.0 104.3 1464.8

Suai 1.5 657.2 1829.6 101.8 65.0 173.9 166.9 2995.9

Tilomar 0.3 180.3 1032.8 45.5 10.0 52.5 1321.3

Zumalai 0.8 152.7 1199.2 445.0 99.0 190.0 502.0 2588.7

Dili Atauro 6.1 58.7 707.8 47.2 61.6 2772.3 3653.7

Cristo Rei 9.1 165.4 783.5 384.9 51.0 95.0 300.0 1789.0

Dom Aleixo 5.3 54.7 314.7 41.8 72.8 545.0 182.0 1216.4

Metinaro 1.8 14.5 22.3 12.0 32.0 268.0 6130.0 1040.0 7520.6

Nain Feto 2.3 7.4 114.6 4.1 128.5

Vera Cruz 2.4 8.0 74.6 5.0 90.1

Ermera Atsabe 0.3 315.1 2094.4 992.7 381.9 65.9 468.0 203.0 4521.2

Ermera 13.0 290.7 891.3 351.8 165.4 533.6 3477.4 8069.3 13792.5

Hatulia 20.7 182.0 2758.7 1830.8 910.5 528.5 279.0 180.0 6690.3

Letefoho 7.7 452.4 1381.4 879.1 516.2 1932.8 2120.3 4444.4 11734.2

Railaco 0.6 99.6 1209.0 597.7 620.6 240.0 282.2 312.6 3362.3

Lautem Iliomar 0.8 226.1 871.9 471.0 133.5 55.0 1758.2

Lautém 5.9 267.3 866.1 133.3 48.1 80.0 51.0 150.0 1601.6

Lospalos 3.6 772.7 1702.5 395.3 184.4 159.7 100.1 3318.2

Luro 0.4 249.6 887.1 149.6 20.8 50.0 1357.5

Tutuala 1.7 23.3 228.8 195.9 48.1 22.0 519.9

Liquica Bazartete 8.4 534.2 1204.3 276.9 94.2 68.0 272.6 2458.6

Liquiçá 0.7 342.1 1918.7 1447.7 704.0 500.0 599.4 298.0 5810.7

Maubara 3.2 644.8 1287.4 344.8 71.8 44.0 83.1 100.5 2579.6

86 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Manatuto Barique 4.1 108.6 266.6 33.0 33.3 101.0 429.0 100.0 1075.5

Lacló 3.8 21.9 376.2 316.6 12.0 110.0 101.0 941.5

Laclubar 15.7 57.0 66.4 29.5 17.2 185.7

Laleia 2.6 84.3 164.6 23.6 275.1

Manatuto 3.8 50.3 53.3 16.0 30.5 60.0 100.0 313.8

Soibada 0.7 70.3 139.9 151.4 113.7 103.0 579.0

Manufahi Alas 2.2 88.4 538.1 177.9 47.0 353.0 656.1 481.0 2343.6

Fatuberlio 1.4 116.9 838.6 249.3 104.0 142.0 101.0 1553.1

Same 4.8 485.0 2020.0 837.1 259.5 113.0 201.0 304.8 4225.2

Turiscai 0.0 14.4 736.3 1209.7 278.6 452.9 436.7 117.0 3245.6

Oe-Cusse Nitibe 4.9 424.9 1045.2 284.8 195.0 236.0 414.0 403.0 3007.7

Oesilo 4.6 491.9 541.6 455.8 39.1 84.0 321.0 1938.0

Pante Macassar

11.3 991.6 1193.8 210.0 93.5 306.2 132.0 100.0 3038.4

Passabe 3.0 22.5 1131.6 20.0 21.4 50.6 1249.1

Viqueque Lacluta 2.1 139.9 428.1 60.5 41.1 671.7

Ossu 8.0 299.3 1151.6 251.4 35.0 1745.3

Uato-Lari 12.4 287.7 1444.4 536.6 298.3 326.5 112.4 100.0 3118.3

Uato-Carbau 2.5 121.9 1131.5 624.2 156.3 169.3 2205.8

Viqueque 3.0 440.0 1609.2 128.1 87.4 177.0 476.0 6590.0 9510.7

Timor Leste 272.0 16848.7 61221.3 24589.7 16248.2 21102.6 26450.7 49446.5 216179.6

87 | P a g e

Table A.5: Area (Ha) of household agricultural holdings by sex of hodler and size of the agricultural holding by Municipality/ Sub-municipality: TLAC 2019

Male Holders


Size of the agricultural holding (ha.) Total area (ha.) of

Household Agricultural

Holdings

<0.02 has. 0.02 ha. - 0.99 ha.

1.00 ha. - 3.99 ha.

4.00 ha. - 9.99 ha.

10.00 ha. - 19.99 ha.

20.00 ha. - 49.99 ha.

50.00 ha. - 99.99 ha.

100 ha. and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 2.1 498.4 1637.8 225.3 26.3 112.0 2501.8

Laulara 1.3 181.4 308.4 231.3 832.9 1208.5 451.0 3214.7

Lequidoe 0.2 152.7 938.6 253.4 34.8 25.0 1600.0 3004.6

Remexio 0.9 335.8 1004.3 225.9 24.0 40.6 1631.5

Ainaro Ainaro Vila 7.1 127.6 502.3 153.7 57.8 135.0 90.0 1073.5

Hato-Udo 1.5 186.9 476.2 49.0 125.0 100.0 938.6

Hato-Builico 0.3 272.9 443.0 286.8 67.0 94.0 200.0 200.0 1564.0

Maubisse 0.4 392.6 1031.2 492.0 356.3 271.2 1268.5 3468.9 7281.1

Baucau Baguia 8.0 99.2 791.4 475.6 86.8 100.0 810.0 2371.0

Baucau 14.1 453.1 2781.3 972.6 362.6 363.6 150.0 5097.2

Laga 4.7 415.8 1009.5 297.4 57.0 107.4 55.3 1947.0

Quelicai 3.1 414.9 1199.1 400.5 54.3 24.0 279.5 2375.4

Vemasse 3.4 150.0 562.5 232.3 85.1 150.0 70.0 1253.2

Venilale 4.3 298.4 1420.6 528.2 189.7 334.6 890.0 6688.0 10353.7

Bobonaro Atabae 1.0 287.4 732.5 169.7 208.8 121.1 169.0 1689.5

Balibo 1.7 207.6 596.8 1466.9 3386.6 1602.1 236.5 200.1 7698.3

Bobonaro 4.9 283.8 1351.1 362.5 579.6 2746.3 1320.6 6031.0 12679.8

Cailaco 3.2 175.2 623.6 179.3 85.1 145.7 50.2 1262.3

Lolotoe 1.0 108.0 482.0 742.1 1629.0 2388.7 931.9 135.0 6417.7

Maliana 2.1 265.8 997.2 369.1 535.8 1367.0 1420.2 641.8 5599.0

88 | P a g e

Male Holders Table A.5 contd………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Covalima Fatululic 11.5 314.8 118.6 35.5 480.4

Fatumean 0.1 93.4 376.3 52.5 20.0 101.0 100.0 743.3

Fohorem 2.1 112.1 40.0 65.5 28.0 50.6 298.2

Maucatar 1.9 179.2 442.9 133.2 65.5 30.0 80.0 104.3 1036.8

Suai 1.2 548.8 1590.5 96.8 55.0 153.0 166.9 2612.2

Tilomar 0.3 156.3 931.4 36.5 10.0 52.5 1187.0

Zumalai 0.7 128.7 967.9 386.0 86.0 141.0 361.0 2071.3

Dili Atauro 5.1 49.3 591.8 47.2 61.6 755.0

Cristo Rei 8.3 145.1 628.6 283.9 39.0 95.0 300.0 1499.9

Dom Aleixo 4.6 46.9 286.2 41.8 57.8 495.0 182.0 1114.4

Metinaro 1.5 13.2 17.1 12.0 32.0 200.0 5000.0 1040.0 6315.8

Nain Feto 1.9 6.2 100.5 4.1 112.7

Vera Cruz 2.1 7.4 62.6 5.0 77.1

Ermera Atsabe 0.3 250.6 1783.2 944.7 358.9 65.9 417.0 203.0 4023.5

Ermera 11.6 256.0 799.7 336.5 144.9 396.6 2759.2 6315.3 11019.8

Hatulia 17.7 163.5 2490.3 1636.6 864.5 427.5 219.0 180.0 5999.2

Letefoho 6.6 389.4 1174.8 772.0 412.1 1760.4 1459.5 3975.3 9950.2

Railaco 0.5 79.7 996.9 536.9 411.5 175.0 282.2 200.0 2682.8

Lautem Iliomar 0.7 180.3 809.5 447.2 133.5 55.0 1626.1

Lautém 4.8 219.0 767.2 125.3 38.0 80.0 51.0 150.0 1435.3

Lospalos 2.3 576.6 1396.6 360.5 162.4 119.4 50.1 2668.0

Luro 0.4 218.0 831.9 149.6 20.8 1220.6

Tutuala 1.3 15.7 192.8 168.3 48.1 22.0 448.3


Liquiçá 0.7 292.5 1656.8 1263.4 665.0 500.0 599.4 298.0 5275.8

Maubara 2.5 532.8 1048.3 318.3 71.8 44.0 83.1 100.5 2201.3

89 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)


Lacló 3.5 17.9 335.7 296.5 12.0 110.0 101.0 876.6

Laclubar 11.0 44.8 46.9 25.3 128.0

Laleia 1.6 72.8 155.6 23.6 253.6

Manatuto 2.8 42.8 48.4 16.0 20.5 60.0 100.0 290.5

Soibada 0.5 62.6 128.3 145.4 113.7 103.0 553.5

Manufahi Alas 1.9 80.6 508.9 165.4 47.0 293.0 456.1 481.0 2033.9

Fatuberlio 1.3 97.6 766.5 208.3 73.0 142.0 101.0 1389.6

Same 4.1 420.1 1746.8 690.7 204.0 71.0 201.0 304.8 3642.4

Turiscai 0.0 11.8 654.7 1090.1 266.6 387.1 436.7 117.0 2964.1

Oe-Cusse Nitibe 3.4 343.4 919.2 273.8 195.0 236.0 364.0 203.0 2537.8

Oesilo 3.8 408.7 452.0 410.8 39.1 84.0 271.0 1669.4

Pante Macassar 9.4 866.9 1056.4 192.0 83.0 226.0 52.0 100.0 2585.7

Passabe 2.6 17.5 998.6 16.0 11.0 50.6 1096.3

Viqueque Lacluta 1.8 117.8 408.6 60.5 41.1 629.8

Ossu 6.5 238.9 1020.3 231.4 35.0 1532.1

Uato-Lari 10.6 245.5 1292.4 488.9 283.3 251.0 112.4 100.0 2784.1

Uato-Carbau 2.2 86.8 978.1 563.9 142.3 169.3 1942.6

Viqueque 2.5 367.0 1436.9 128.1 87.4 177.0 275.8 5800.0 8274.7

Timor Leste 225.3 14096.3 53370.2 21764.0 14200.9 18391.1 22230.4 40780.5 185058.8

90 | P a g e

Table A.5: Area (Ha) of household agricultural holdings by sex of hodler and size of the agricultural holding by Municipality/ Sub-municipality: TLAC 2019

Female Holders


Size of the agricultural holding (ha.) Total area (ha.) of Household Agricultural

Holdings

<0.02 has.

0.02 ha. - 0.99 ha.

1.00 ha. - 3.99 ha.

4.00 ha. - 9.99 ha.

10.00 ha. - 19.99 ha.

20.00 ha. - 49.99 ha.

50.00 ha. - 99.99 ha.

100 ha. and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 0.5 105.1 222.4 34.1 30.0 55.0 447.2

Laulara 0.3 33.1 27.4 39.5 82.0 120.0 120.0 422.3

Lequidoe 0.0 21.0 142.0 41.3 12.8 300.0 517.1

Remexio 0.1 45.1 72.5 34.5 152.2

Ainaro Ainaro Vila 0.9 43.4 146.8 45.9 30.0 120.0 160.0 547.0

Hato-Udo 0.4 29.3 51.3 81.1

Hato-Builico 0.1 41.7 41.6 33.2 35.0 151.5

Maubisse 0.0 45.4 84.1 74.2 70.0 41.8 100.0 415.5

Baucau Baguia 1.4 20.1 118.2 34.7 45.0 219.3

Baucau 2.9 74.4 329.8 61.2 468.3

Laga 1.0 75.6 105.1 38.5 73.2 293.4

Quelicai 1.2 126.9 207.6 19.0 354.7

Vemasse 0.7 27.5 75.8 9.0 113.1

Venilale 0.7 38.7 121.7 14.5 34.0 94.0 578.0 881.5

Bobonaro Atabae 0.3 41.1 69.9 20.0 131.2

Balibo 0.5 59.8 123.9 424.7 618.5 449.4 56.0 100.0 1832.8

Bobonaro 1.8 66.6 189.3 34.0 94.1 190.6 90.0 750.0 1416.4

Cailaco 0.6 32.1 89.5 12.0 54.8 31.0 219.9

Lolotoe 0.2 20.1 93.1 151.3 233.6 280.1 778.5

Maliana 0.5 95.2 185.6 103.0 85.6 222.3 257.8 580.0 1530.1

91 | P a g e

Female Holders Table A.5 contd………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)


Fatumean 0.0 14.3 37.8 52.1

Fohorem 0.5 10.7 1.1 13.2 25.1 50.5

Maucatar 0.5 49.9 271.6 93.3 12.8 428.0

Suai 0.3 108.4 239.1 5.0 10.0 20.9 383.6

Tilomar 0.1 23.9 101.3 9.0 134.3

Zumalai 0.1 23.9 231.4 59.0 13.0 49.0 141.0 517.4

Dili Atauro 1.0 9.4 116.0 2772.3 2898.7

Cristo Rei 0.9 20.3 154.9 101.0 12.0 289.1

Dom Aleixo 0.7 7.8 28.5 15.0 50.0 102.0

Metinaro 0.2 1.3 5.2 68.0 1130.0 1204.7

Nain Feto 0.4 1.2 14.1 15.8

Vera Cruz 0.3 0.6 12.0 12.9

Ermera Atsabe 0.0 64.6 311.2 48.0 23.0 51.0 497.8

Ermera 1.3 34.7 91.7 15.3 20.5 137.0 718.2 1754.0 2772.7

Hatulia 3.1 18.5 268.3 194.2 46.0 101.0 60.0 691.1

Letefoho 1.1 63.0 206.6 107.1 104.1 172.4 660.8 469.0 1784.0

Railaco 0.1 19.9 212.1 60.9 209.1 65.0 112.6 679.5

Lautem Iliomar 0.1 45.8 62.5 23.8 132.1

Lautém 1.1 48.3 98.9 8.0 10.1 166.3

Lospalos 1.3 196.1 305.8 34.8 22.0 40.2 50.0 650.2

Luro 0.1 31.5 55.3 50.0 136.8

Tutuala 0.4 7.6 36.0 27.6 71.6

Liquica Bazartete 0.8 59.9 214.8 24.0 299.6

Liquiçá 0.1 49.6 261.9 184.3 39.0 534.9

Maubara 0.6 112.0 239.1 26.5 378.3

92 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Manatuto Barique 0.5 10.2 28.2 4.0 127.0 169.9

Lacló 0.3 3.9 40.5 20.1 64.8

Laclubar 4.6 12.2 19.4 4.2 17.2 57.7

Laleia 1.0 11.5 9.0 21.5

Manatuto 1.0 7.5 4.8 10.0 23.3

Soibada 0.2 7.7 11.7 6.0 25.5

Manufahi Alas 0.3 7.8 29.1 12.5 60.0 200.0 309.7

Fatuberlio 0.1 19.3 72.1 41.0 31.0 163.5

Same 0.7 64.9 273.2 146.4 55.5 42.0 582.8

Turiscai 0.0 2.5 81.6 119.6 12.0 65.9 281.6

Oe-Cusse Nitibe 1.4 81.5 126.0 11.0 50.0 200.0 469.9

Oesilo 0.8 83.2 89.6 45.0 50.0 268.6

Pante Macassar 1.9 124.7 137.4 18.0 10.5 80.2 80.0 452.7

Passabe 0.4 5.0 133.0 4.0 10.4 152.7

Viqueque Lacluta 0.3 22.0 19.5 41.8

Ossu 1.5 60.4 131.3 20.0 213.2

Uato-Lari 1.8 42.2 152.1 47.7 15.0 75.5 334.2

Uato-Carbau 0.3 35.1 153.4 60.3 14.0 263.1

Viqueque 0.5 73.0 172.2 200.3 790.0 1236.0

Timor Leste 46.6 2752.4 7851.1 2825.7 2047.3 2711.5 4220.3 8665.9 31120.8

93 | P a g e

Table A.6: Number of household agricultural holdings by group of parcels, sex of holders by Municipality/ Sub-municipality: TLAC 2019

All Holders


Number of agricultural holdings, by group of parcels Total Number of

Household Agricultural

Holdings

1 Parcel only

2-3 4-5 6-9 10-14 15-19 20

Parcels and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 1985 1161 141 21 2 19 3329

Laulara 618 421 44 6 1 1 1091

Lequidoe 575 447 131 44 1 2 1200

Remexio 857 807 91 11 7 1773

Ainaro Ainaro Vila 1128 728 79 10 2 13 1960

Hato-Udo 1284 407 2 9 1702

Hato-Builico 561 641 215 46 4 15 1482

Maubisse 1133 1021 159 44 2 27 2386

Baucau Baguia 1103 569 108 47 5 1 11 1844

Baucau 3565 2116 293 48 4 20 6046

Laga 2166 537 51 17 3 4 2778

Quelicai 1924 1058 181 52 9 1 23 3248

Vemasse 668 819 60 7 1 10 1565

Venilale 1071 1607 173 23 2 9 2885

Bobonaro Atabae 1337 546 29 3 8 1923

Balibo 2052 557 11 1 11 2632

Bobonaro 2636 900 70 11 27 3644

Cailaco 1344 429 40 6 1 20 1840

Lolotoe 659 653 109 43 3 5 1472

Maliana 2109 755 46 9 1 34 2954

94 | P a g e

All Holders Table A.6 contd…..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Fatumean 479 127 7 613

Fohorem 385 322 53 3 9 772

Maucatar 1336 186 28 8 2 4 1564

Suai 1575 1734 71 4 12 3396

Tilomar 1204 287 9 12 1512

Zumalai 1592 477 49 14 1 15 2148

Dili Atauro 1206 351 44 11 1 17 1630

Cristo Rei 2334 261 23 5 17 2640

Dom Aleixo 1523 120 2 17 1662

Metinaro 454 7 1 462

Nain Feto 460 14 1 475

Vera Cruz 681 45 4 730

Ermera Atsabe 1414 744 205 94 7 23 2487

Ermera 2124 1586 226 26 2 30 3994

Hatulia 1676 2659 602 154 7 30 5128

Letefoho 1413 1491 411 64 1 22 3402

Railaco 851 531 67 11 1 11 1472

Lautem Iliomar 712 469 68 6 3 1258

Lautém 2236 188 17 2 1 9 2453

Lospalos 2277 1789 30 10 23 4129

Luro 444 636 118 19 1 9 1227

Tutuala 344 96 11 1 5 457

95 | P a g e

All Holders Table A.6 contd…..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Liquiçá 1842 686 180 66 8 14 2796

Maubara 3177 197 16 3 2 34 3429

Manatuto Barique 507 434 11 1 1 954

Lacló 869 148 1 9 1027

Laclubar 1388 134 3 7 1532

Laleia 520 126 3 1 650

Manatuto 733 305 12 3 1053

Soibada 371 55 14 4 2 446

Manufahi Alas 756 219 28 15 2 6 1026

Fatuberlio 823 267 12 2 11 1115

Same 2434 1255 142 74 10 1 24 3940

Turiscai 549 293 42 7 2 17 910

Oe-Cusse Nitibe 1954 671 16 2 6 19 2668

Oesilo 1924 451 20 1 7 2403

Pante Macassar 5212 1663 110 8 31 7024

Passabe 1458 240 1 4 1703


Ossu 2161 717 52 1 19 2950

Uato-Lari 2475 712 83 20 3 13 3306

Uato-Carbau 342 830 183 69 3 9 1436

Viqueque 3332 487 7 1 2 1 17 3847

Timor Leste 92736 41205 5085 1163 105 4 843 141141

96 | P a g e


Male Holders




1 Parcel only

2-3 4-5 6-9 10-14 15-19 20

Parcels and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 1655 981 128 18 2 18 2802

Laulara 522 377 41 4 1 1 946

Lequidoe 489 399 115 36 1 2 1042

Remexio 750 746 83 10 6 1595

Ainaro Ainaro Vila 921 592 53 7 1 9 1583

Hato-Udo 1046 362 1 9 1418

Hato-Builico 490 555 196 40 3 15 1299

Maubisse 1008 931 149 41 2 26 2157

Baucau Baguia 916 506 96 42 5 1 11 1577

Baucau 2990 1896 272 45 4 19 5226

Laga 1784 489 49 17 3 3 2345

Quelicai 1437 880 165 48 9 1 19 2559

Vemasse 542 701 48 7 1 10 1309

Venilale 901 1480 168 23 2 8 2582

Bobonaro Atabae 1157 484 24 2 8 1675

Balibo 1570 456 10 1 11 2048

Bobonaro 2098 762 55 9 19 2943

Cailaco 1101 384 35 4 1 19 1544

Lolotoe 554 571 94 39 3 4 1265

Maliana 1615 627 40 7 1 31 2321

97 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Fatumean 409 119 7 535

Fohorem 326 294 47 2 7 676

Maucatar 995 110 16 7 2 2 1132

Suai 1284 1493 64 4 12 2857

Tilomar 1037 262 9 12 1320

Zumalai 1300 425 45 12 1 13 1796

Dili Atauro 1035 280 39 11 15 1380

Cristo Rei 2017 216 21 4 13 2271

Dom Aleixo 1327 111 2 16 1456

Metinaro 393 6 1 400

Nain Feto 384 12 1 397

Vera Cruz 556 39 3 598

Ermera Atsabe 1153 632 183 87 7 20 2082

Ermera 1810 1436 207 24 2 29 3508

Hatulia 1427 2340 566 142 7 29 4511

Letefoho 1202 1298 363 50 1 20 2934

Railaco 692 439 60 7 9 1207

Lautem Iliomar 580 419 65 6 3 1073

Lautém 1800 163 16 2 1 9 1991

Lospalos 1653 1385 27 10 21 3096

Luro 383 570 111 18 1 7 1090

Tutuala 263 82 11 1 5 362


Liquiçá 1594 592 169 61 7 12 2435

Maubara 2606 164 15 3 2 27 2817

98 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Lacló 774 137 1 8 920

Laclubar 1017 117 3 6 1143

Laleia 413 107 3 1 524

Manatuto 578 227 6 2 813

Soibada 329 51 13 4 2 399

Manufahi Alas 682 206 27 15 2 6 938

Fatuberlio 712 247 11 2 10 982

Same 2127 1081 113 65 10 1 22 3419

Turiscai 494 257 38 6 2 14 811

Oe-Cusse Nitibe 1561 587 16 2 6 18 2190

Oesilo 1580 407 20 1 7 2015

Pante Macassar 4420 1495 98 7 28 6048

Passabe 1242 220 1 4 1467


Ossu 1776 645 50 1 18 2490

Uato-Lari 2084 654 73 20 3 11 2845

Uato-Carbau 266 700 161 64 3 9 1203

Viqueque 2825 439 7 1 1 1 15 3289

Timor Leste 76912 35924 4580 1048 99 4 756 119323

99 | P a g e


Female Holders




1 Parcel only

2-3 4-5 6-9 10-14 15-19 20

Parcels and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 330 180 13 3 1 527 330

Laulara 96 44 3 2 145 96

Lequidoe 86 48 16 8 158 86

Remexio 107 61 8 1 1 178 107

Ainaro Ainaro Vila 207 136 26 3 1 4 377 207

Hato-Udo 238 45 1 284 238

Hato-Builico 71 86 19 6 1 183 71

Maubisse 125 90 10 3 1 229 125

Baucau Baguia 187 63 12 5 267 187

Baucau 575 220 21 3 1 820 575

Laga 382 48 2 1 433 382

Quelicai 487 178 16 4 4 689 487

Vemasse 126 118 12 256 126

Venilale 170 127 5 1 303 170

Bobonaro Atabae 180 62 5 1 248 180

Balibo 482 101 1 584 482

Bobonaro 538 138 15 2 8 701 538

Cailaco 243 45 5 2 1 296 243

Lolotoe 105 82 15 4 1 207 105

Maliana 494 128 6 2 3 633 494

100 | P a g e

Female Holders Table A.6 F contd………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Fatumean 70 8 78 70

Fohorem 59 28 6 1 2 96 59

Maucatar 341 76 12 1 2 432 341

Suai 291 241 7 539 291

Tilomar 167 25 192 167

Zumalai 292 52 4 2 2 352 292

Dili Atauro 171 71 5 1 2 250 171

Cristo Rei 317 45 2 1 4 369 317

Dom Aleixo 196 9 1 206 196

Metinaro 61 1 62 61

Nain Feto 76 2 78 76

Vera Cruz 125 6 1 132 125

Ermera Atsabe 261 112 22 7 3 405 261

Ermera 314 150 19 2 1 486 314

Hatulia 249 319 36 12 1 617 249

Letefoho 211 193 48 14 2 468 211

Railaco 159 92 7 4 1 2 265 159

Lautem Iliomar 132 50 3 185 132

Lautém 436 25 1 462 436

Lospalos 624 404 3 2 1033 624

Luro 61 66 7 1 2 137 61

Tutuala 81 14 95 81

Liquica Bazartete 415 58 6 4 483 415

Liquiçá 248 94 11 5 1 2 361 248

Maubara 571 33 1 7 612 571

101 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Manatuto Barique 83 27 110 83

Lacló 95 11 1 107 95

Laclubar 371 17 1 389 371

Laleia 107 19 126 107

Manatuto 155 78 6 1 240 155

Soibada 42 4 1 47 42

Manufahi Alas 74 13 1 88 74

Fatuberlio 111 20 1 1 133 111

Same 307 174 29 9 2 521 307

Turiscai 55 36 4 1 3 99 55

Oe-Cusse Nitibe 393 84 1 478 393

Oesilo 344 44 388 344

Pante Macassar 792 168 12 1 3 976 792

Passabe 216 20 236 216

Viqueque Lacluta 106 47 1 154 106

Ossu 385 72 2 1 460 385

Uato-Lari 391 58 10 2 461 391

Uato-Carbau 76 130 22 5 233 76

Viqueque 507 48 1 2 558 507

Timor Leste

15824 5281 505 115 6 87 21818 15824

102 | P a g e

Table A.7: Area (Ha) of household agricultural holdings by group of parcels, Sex of Holder by Municipality/ Sub-municipality: TLAC 2019

All Holder

Municipality/ Sub-

municipality

Group of parcels Total area (ha.)of Household


1 Parcel only 2-3 4-5 6-9 10-14 15-19 20 parcels and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 1298.5 1317.9 276.6 53.3 2.6 2949.0

Laulara 1052.8 2420.5 140.6 22.2 0.9 3637.0

Lequidoe 2126.5 833.0 385.0 172.2 5.0 3521.7

Remexio 465.5 1018.6 258.5 41.1 1783.7

Ainaro Ainaro Vila 478.4 719.8 362.7 44.6 15.0 1620.5

Hato-Udo 622.4 391.2 6.1 1019.7

Hato-Builico 610.0 535.4 353.1 169.4 47.6 1715.5

Maubisse 2292.7 4467.3 430.1 214.5 200.0 92.0 7696.7

Baucau Baguia 359.8 789.0 342.8 244.2 31.7 12.8 810.0 2590.3

Baucau 1747.9 2538.6 914.9 318.7 45.5 5565.6

Laga 1047.1 951.9 146.2 60.2 35.0 2240.4

Quelicai 743.6 1128.7 450.8 328.8 57.3 16.0 5.0 2730.1

Vemasse 345.4 760.8 141.6 118.5 0.0 1366.3

Venilale 5781.8 4708.7 557.6 60.2 52.0 75.0 11235.3

Bobonaro Atabae 740.3 839.2 226.9 14.3 1820.8

Balibo 5059.3 4274.2 142.6 55.0 9531.1

Bobonaro 4785.4 8615.1 595.6 100.0 14096.2

Cailaco 586.2 622.4 135.1 74.9 0.8 62.9 1482.2

Lolotoe 735.7 3529.1 1801.2 1049.1 81.1 7196.3

Maliana 2713.4 3281.0 344.1 148.9 161.0 480.8 7129.2

103 | P a g e

All Holder Table A.7 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Fatumean 515.9 279.5 795.4

Fohorem 35.5 194.8 47.2 1.8 69.5 348.7

Maucatar 787.0 386.9 127.5 144.5 18.9 1464.8

Suai 913.7 1906.0 162.2 14.0 2995.9

Tilomar 831.3 453.1 35.3 1.6 1321.3

Zumalai 1281.6 864.8 132.5 231.8 0.0 78.0 2588.7

Dili Atauro 745.6 108.1 4.5 23.2 0.0 2772.3 3653.7

Cristo Rei 1256.3 471.0 37.5 24.2 1789.0

Dom Aleixo 1112.2 89.1 14.0 1.0 1216.4

Metinaro 7214.8 305.7 7520.6

Nain Feto 117.3 11.2 128.5

Vera Cruz 84.3 5.8 90.1

Ermera Atsabe 1298.6 1810.8 878.0 457.5 76.3 4521.2

Ermera 8533.1 4288.5 764.5 190.3 16.1 0.2 13792.5

Hatulia 2025.3 2728.6 1255.1 633.1 48.1 6690.3

Letefoho 3529.8 5007.3 2785.6 383.4 28.1 11734.2

Railaco 1187.8 1634.1 332.2 163.6 25.0 19.6 3362.3

Lautem Iliomar 506.8 895.5 314.8 41.0 1758.2

Lautém 1306.1 229.3 63.6 2.5 0.0 1601.6

Lospalos 1094.3 2046.2 120.2 57.5 3318.2

Luro 251.4 788.9 249.6 65.3 2.2 1357.5

Tutuala 199.5 213.9 95.4 11.1 519.9

Liquica Bazartete 1474.2 721.1 184.2 34.0 45.0 2458.6

Liquiçá 2111.2 1730.9 986.4 798.5 183.7 5810.7

Maubara 2057.5 419.5 66.7 10.7 24.2 1.0 2579.6

104 | P a g e

All Holder Table A.7 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Manatuto Barique 275.1 775.2 21.9 3.3 1075.5

Lacló 470.3 370.2 101.0 941.5

Laclubar 138.6 46.5 0.5 185.7

Laleia 165.6 100.6 9.0 275.1

Manatuto 236.7 74.6 2.6 313.8

Soibada 186.1 167.9 184.3 40.7 579.0

Manufahi Alas 1286.6 864.4 29.1 163.3 0.1 0.1 2343.6

Fatuberlio 747.4 587.8 125.3 72.0 20.7 1553.1

Same 1435.8 1693.8 618.2 287.9 69.4 18.0 102.0 4225.2

Turiscai 831.2 1521.3 565.8 139.1 71.2 117.0 3245.6

Oe-Cusse Nitibe 1757.0 1074.8 50.7 6.3 119.0 3007.7

Oesilo 899.8 972.7 64.5 1.0 1938.0

Pante Macassar 1890.7 1047.2 86.7 11.9 2.0 3038.4

Passabe 989.4 259.3 0.4 1249.1

Viqueque Lacluta 293.9 327.1 32.1 18.6 671.7

Ossu 908.2 754.4 81.6 1.1 1745.3

Uato-Lari 1361.1 1147.7 461.2 119.0 29.3 3118.3

Uato-Carbau 122.3 1076.2 536.1 449.1 22.1 2205.8

Viqueque 7381.7 1897.4 11.7 0.0 210.0 10.0 9510.7

Timor Leste

95727.6 86348.0 19718.9 7893.5 1724.2 56.8 4710.7 216179.6

105 | P a g e


Male Holder




1 Parcel only 2-3 4-5 6-9 10-14 15-19 20 parcels and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 1068.5 1131.7 255.4 43.6 2.6 2501.8

Laulara 933.3 2133.7 132.2 14.6 0.9 3214.7

Lequidoe 1769.0 745.7 348.5 136.5 5.0 3004.6

Remexio 416.3 944.9 237.2 33.1 1631.5


Hato-Udo 564.9 367.7 6.0 938.6

Hato-Builico 585.6 486.6 324.1 155.1 12.6 1564.0

Maubisse 2162.4 4231.3 387.1 208.4 200.0 92.0 7281.1

Baucau Baguia 301.0 675.5 313.4 226.7 31.7 12.8 810.0 2371.0

Baucau 1540.6 2339.4 860.2 311.4 45.5 5097.2

Laga 888.8 821.8 141.2 60.2 35.0 1947.0

Quelicai 564.7 984.2 432.7 320.5 57.3 16.0 2375.4

Vemasse 323.2 680.5 131.1 118.5 0.0 1253.2

Venilale 5050.5 4576.3 539.8 60.2 52.0 75.0 10353.7

Bobonaro Atabae 666.0 800.3 211.2 12.0 1689.5

Balibo 3990.0 3519.7 133.6 55.0 7698.3

Bobonaro 4218.9 7778.2 585.2 97.5 12679.8

Cailaco 479.4 563.7 124.5 31.1 0.8 62.9 1262.3

Lolotoe 601.9 3085.9 1657.2 991.7 81.1 6417.7

Maliana 2142.6 2856.0 342.5 96.9 161.0 5599.0

106 | P a g e

Male Holder Table A.7 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Fatumean 473.3 269.9 743.3

Fohorem 32.0 156.7 39.2 1.3 69.0 298.2

Maucatar 585.8 224.5 68.3 139.4 18.9 1036.8

Suai 793.3 1674.8 130.1 14.0 2612.2

Tilomar 731.2 419.0 35.3 1.6 1187.0

Zumalai 953.6 779.5 132.5 127.8 0.0 78.0 2071.3

Dili Atauro 624.8 102.9 4.1 23.2 0.0 755.0

Cristo Rei 1076.9 364.4 35.8 22.8 1499.9

Dom Aleixo 1013.1 86.2 14.0 1.0 1114.4

Metinaro 6011.3 304.5 6315.8

Nain Feto 101.8 11.0 112.7

Vera Cruz 71.5 5.7 77.1

Ermera Atsabe 1103.0 1583.9 817.9 442.4 76.3 4023.5

Ermera 7155.8 3058.5 600.1 189.2 16.1 0.2 11019.8

Hatulia 1783.3 2450.4 1155.9 561.5 48.1 5999.2

Letefoho 3088.2 4093.3 2429.9 310.7 28.1 9950.2

Railaco 932.3 1418.3 293.4 19.2 19.6 2682.8

Lautem Iliomar 446.0 837.1 302.0 41.0 1626.1

Lautém 1162.0 210.2 60.6 2.5 0.0 1435.3

Lospalos 824.5 1671.2 114.8 57.5 2668.0

Luro 230.9 688.7 235.8 63.1 2.2 1220.6

Tutuala 155.5 186.2 95.4 11.1 448.3

Liquica Bazartete 1288.8 622.2 169.0 34.0 45.0 2159.0

Liquiçá 1905.5 1481.5 950.0 765.2 173.7 5275.8

Maubara 1723.7 375.0 66.7 10.7 24.2 1.0 2201.3

107 | P a g e

Male Holder Table A.7 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Manatuto Barique 251.1 629.2 21.9 3.3 905.6

Lacló 435.1 340.5 101.0 876.6

Laclubar 101.6 25.9 0.5 128.0

Laleia 149.0 95.7 9.0 253.6

Manatuto 218.0 70.5 2.0 290.5

Soibada 168.0 162.8 182.0 40.7 553.5

Manufahi Alas 993.2 848.2 29.0 163.3 0.1 0.1 2033.9

Fatuberlio 650.2 537.5 109.3 72.0 20.7 1389.6

Same 1283.6 1448.6 461.9 258.8 69.4 18.0 102.0 3642.4

Turiscai 767.5 1381.1 508.1 119.1 71.2 117.0 2964.1

Oe-Cusse Nitibe 1350.3 1011.6 50.7 6.3 119.0 2537.8

Oesilo 702.1 901.9 64.5 1.0 1669.4

Pante Macassar 1585.1 910.7 76.4 11.6 2.0 2585.7

Passabe 854.5 241.4 0.4 1096.3

Viqueque Lacluta 269.0 310.1 32.1 18.6 629.8

Ossu 761.4 693.5 76.1 1.1 1532.1

Uato-Lari 1207.4 1049.8 378.6 119.0 29.3 2784.1

Uato-Carbau 100.5 930.9 468.2 421.0 22.1 1942.6

Viqueque 6372.4 1860.6 11.7 0.0 20.0 10.0 8274.7

Timor Leste

81367.7 75938.4 17713.3 7076.4 1454.2 56.8 1452.2 185058.8

108 | P a g e


Female Holder



Agricultural

Holdings 1 Parcel only 2-3 4-5 6-9 10-14 15-19

20 parcels

and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 230.0 186.2 21.2 9.7 447.2

Laulara 119.6 286.8 8.4 7.6 422.3

Lequidoe 357.5 87.4 36.5 35.7 517.1

Remexio 49.2 73.6 21.3 8.0 152.2


Hato-Udo 57.4 23.6 0.1 81.1

Hato-Builico 24.4 48.8 29.0 14.3 35.0 151.5

Maubisse 130.4 236.0 43.0 6.1 415.5

Baucau Baguia 58.8 113.6 29.5 17.5 219.3

Baucau 207.3 199.2 54.6 7.3 468.3

Laga 158.3 130.1 5.1 293.4

Quelicai 178.9 144.5 18.1 8.2 5.0 354.7

Vemasse 22.2 80.3 10.6 113.1

Venilale 731.3 132.4 17.9 881.5

Bobonaro Atabae 74.3 38.9 15.7 2.3 131.2

Balibo 1069.3 754.5 9.0 1832.8

Bobonaro 566.5 836.9 10.5 2.6 1416.4

Cailaco 106.9 58.7 10.6 43.8 219.9

Lolotoe 133.8 443.3 144.0 57.4 778.5

Maliana 570.8 425.0 1.7 52.0 480.8 1530.1

109 | P a g e

Female Holder Table A.7 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Covalima Fatululic 48.3 65.9 16.8 131.0

Fatumean 42.6 9.5 52.1

Fohorem 3.4 38.2 8.0 0.5 0.4 50.5

Maucatar 201.3 162.4 59.3 5.1 428.0

Suai 120.3 231.2 32.1 383.6

Tilomar 100.2 34.2 134.3

Zumalai 328.0 85.4 0.0 104.0 517.4

Dili Atauro 120.8 5.2 0.4 0.0 2772.3 2898.7

Cristo Rei 179.4 106.6 1.7 1.4 289.1

Dom Aleixo 99.1 2.9 102.0

Metinaro 1203.5 1.2 1204.7

Nain Feto 15.5 0.2 15.8

Vera Cruz 12.8 0.1 12.9

Ermera Atsabe 195.6 227.0 60.2 15.0 497.8

Ermera 1377.3 1229.9 164.4 1.1 2772.7

Hatulia 242.0 278.2 99.3 71.6 691.1

Letefoho 441.6 914.0 355.7 72.7 1784.0

Railaco 255.6 215.8 38.9 144.4 25.0 679.5

Lautem Iliomar 60.8 58.4 12.9 132.1

Lautém 144.1 19.2 3.0 166.3

Lospalos 269.8 375.0 5.4 650.2

Luro 20.5 100.2 13.8 2.3 136.8

Tutuala 43.9 27.7 71.6

Liquica Bazartete 185.4 99.0 15.2 299.6

Liquiçá 205.7 249.5 36.4 33.3 10.0 534.9

Maubara 333.8 44.5 378.3

110 | P a g e

Female Holder Table A.7 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Manatuto Barique 23.9 145.9 169.9

Lacló 35.2 29.6 64.8

Laclubar 37.1 20.6 57.7

Laleia 16.6 4.9 21.5

Manatuto 18.6 4.1 0.6 23.3

Soibada 18.1 5.1 2.3 25.5

Manufahi Alas 293.4 16.2 0.1 309.7

Fatuberlio 97.2 50.3 16.0 163.5

Same 152.2 245.1 156.3 29.2 582.8

Turiscai 63.7 140.2 57.7 20.0 281.6

Oe-Cusse Nitibe 406.7 63.2 469.9

Oesilo 197.8 70.8 268.6

Pante Macassar 305.6 136.5 10.2 0.3 452.7

Passabe 134.8 17.9 152.7

Viqueque Lacluta 24.8 17.0 41.8

Ossu 146.8 60.9 5.5 213.2

Uato-Lari 153.7 97.9 82.6 334.2

Uato-Carbau 21.8 145.3 67.9 28.1 263.1

Viqueque 1009.3 36.7 190.0 1236.0

Timor Leste

14359.9 10409.6 2005.7 817.2 270.0 3258.5 31120.8

111 | P a g e

Table A.8: Number of parcels in household agricultural holdings by type of land use , Sex of Holder by Municipality/ Sub-municipality:

TLAC 2019 All Holders


Type of land use Total*

Number of Parcels in Household

Agricultural Holdings (*column total only)

Temporary crops

Temporarily fallow

Temporary meadows

and pastures

Permanent crops

Permanent meadows

and pestures

Farm building

and farmyards

Aquaculture Other area

n.e.c.

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila

3890 64 35 2166 52 2326 178 7 8718

Laulara 1324 3 2 1258 91 2 9 2689

Lequidoe 1756 8 3 1433 2 653 5 1 3861

Remexio 2323 19 13 1697 6 884 4 1 4947

Ainaro Ainaro Vila

1630 50 15 1794 16 1426 80 18 5029

Hato-Udo 1546 36 6 1019 7 644 21 56 3335

Hato-

Builico

1536 181 45 1884 9 787 8 5 4455

Maubisse 2933 197 24 2844 51 2140 66 24 8279

Baucau Baguia 2932 52 8 1665 2 452 7 17 5135

Baucau 6870 178 104 2426 169 3694 39 69 13549

Laga 3316 87 93 965 54 1203 7 7 5732

Quelicai 5175 280 126 2883 209 890 29 3 9595

Vemasse 1787 2 4 231 5 846 3 24 2902

Venilale 4865 32 12 2072 9 107 39 14 7150

Bobonaro Atabae 1806 165 70 611 2 1258 22 11 3945

Balibo 2391 343 22 1118 75 1793 48 181 5971

112 | P a g e

All Holders Table A.8 contd……

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Bobonaro 4106 95 31 1983 14 537 6 99 6871

Cailaco 2228 28 3 847 3 235 16 12 3372

Lolotoe 1531 63 7 1336 9 531 16 54 3547

Maliana 2981 39 8 960 4 827 40 44 4903

Covalima Fatululic 432 375 2 809

Fatumean 657 19 4 400 1 61 3 1145

Fohorem 855 1 1 737 2 147 27 9 1779

Maucatar 1050 5 1 860 80 44 2040

Suai 3246 233 14 766 53 2615 12 32 6971

Tilomar 1268 86 9 732 28 386 8 4 2521

Zumalai 2386 76 12 1544 24 88 2 48 4180

Dili Atauro 1918 2 3 653 27 1 188 2792

Cristo Rei 1585 92 15 1305 6 959 21 64 4047

Dom Aleixo

461 11 4 72 1184 13 94 1839

Metinaro 323 41 4 141 1 2 3 3 518

Nain Feto 119 1 73 303 5 27 528

Vera Cruz

228 117 298 2 126 771

Ermera Atsabe 2573 94 65 2771 90 1615 76 6 7290

Ermera 3901 149 77 4337 70 1806 46 177 10563

Hatulia 5787 294 118 7200 80 2260 73 172 15984

Letefoho 3729 62 13 5138 26 920 20 211 10119

Railaco 1822 36 26 1809 45 481 13 66 4298

Lautem Iliomar 1215 11 10 904 9 454 7 10 2620

Lautém 2305 73 20 1379 8 69 4 76 3934

113 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Lospalos 3643 76 69 3137 32 2210 12 18 9197

Luro 2016 79 11 1175 10 420 11 2 3724

Tutuala 475 2 2 329 71 1 2 882

Liquica Bazartete 3314 157 34 2486 6 1448 46 9 7500

Liquiçá 2652 212 112 3281 107 1767 16 5 8152

Maubara 2819 108 15 2364 17 1749 13 61 7146

Manatuto Barique 1063 13 3 1113 2 434 4 2 2634

Lacló 883 13 5 576 12 11 5 16 1521

Laclubar 1464 1 1 820 1 2 2289

Laleia 636 47 1 194 4 102 1 10 995

Manatuto 713 1 1 277 506 7 30 1535

Soibada 469 1 1 230 1 7 6 10 725

Manufahi Alas 919 1059 1 262 2 3 2246

Fatuberlio 1050 7 7 801 6 882 9 40 2802

Same 3681 22 18 3779 34 3171 73 61 10839

Turiscai 1218 58 6 1098 16 820 1 5 3222

Oe-Cusse Nitibe 3304 20 14 1668 10 197 12 7 5232

Oesilo 2739 17 1 359 5 231 41 17 3410

Pante Macassar

8290 6 5 2294 3 1560 16 49 12223

Passabe 1885 6 1118 1 442 3 60 3515


Ossu 3109 9 14 1629 3 789 58 6 5617

Uato-Lari 3584 26 3 2168 9 118 11 48 5967

Uato-Carbau

2212 66 19 1771 121 1061 17 4 5271

Viqueque 3008 51 71 2055 57 843 17 127 6229

Timor Leste

149149 4214 1451 98666 1606 54747 1355 2610 313798

114 | P a g e

Table A.8: Number of parcels in household agricultural holdings by type of land use , Sex of Holder by Municipality/ Sub-

municipality: TLAC 2019 Male Holders


Type of land use Total*

Number of Parcels in Household

Agricultural Holdings (*column total only)

Temporary crops

Temporarily fallow

Temporary meadows

and pastures

Permanent crops

Permanent meadows

and pestures

Farm building

and farmyards

Aquaculture

Other

area n.e.c.

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila

3305 54 30 1843 44 1933 153 5 7367

Laulara 1152 3 2 1096 76 2 7 2338

Lequidoe 1526 8 3 1253 2 567 4 1 3364

Remexio 2119 16 12 1543 6 797 3 1 4497

Ainaro Ainaro Vila

1373 38 4 1402 10 1124 74 13 4038

Hato-Udo 1308 24 6 865 6 544 19 44 2816

Hato-Builico

1332 159 41 1674 8 688 7 4 3913

Maubisse 2668 162 23 2602 43 1932 60 24 7514

Baucau Baguia 2548 49 8 1482 1 385 6 17 4496

Baucau 6073 171 92 2208 145 3216 33 64 12002

Laga 2867 76 80 860 47 995 6 7 4938

Quelicai 4246 199 115 2356 189 740 27 3 7875

Vemasse 1569 2 3 191 5 654 3 23 2450

Venilale 4452 31 12 1913 9 94 36 12 6559

Bobonaro Atabae 1568 148 60 551 2 1084 20 11 3444

Balibo 1853 300 18 848 58 1381 39 124 4621

115 | P a g e

Male Holders Table A.8 contd……

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Bobonaro 3364 82 29 1547 9 444 6 73 5554

Cailaco 1897 27 3 719 3 197 14 12 2872

Lolotoe 1356 58 6 1161 9 454 15 50 3109

Maliana 2367 36 5 764 3 679 36 34 3924


Fatumean 581 19 4 359 1 51 3 1018

Fohorem 757 660 1 128 25 8 1579

Maucatar 753 4 1 610 53 41 1462

Suai 2785 196 11 663 46 2210 12 24 5947

Tilomar 1141 76 6 658 27 324 8 4 2244

Zumalai 2053 62 10 1302 19 76 2 38 3562

Dili Atauro 1578 2 3 562 26 1 140 2312

Cristo Rei 1379 72 7 1122 5 875 19 56 3535

Dom

Aleixo

394 9 3 55 1054 12 81 1608

Metinaro 280 37 3 122 2 3 3 450

Nain Feto 100 1 65 256 5 23 450

Vera

Cruz

192 105 225 2 109 633

Ermera Atsabe 2202 71 58 2409 83 1359 70 6 6258

Ermera 3454 136 72 3875 69 1615 43 162 9426

Hatulia 5165 269 91 6461 70 2004 65 159 14284

Letefoho 3246 60 12 4439 23 783 20 188 8771

Railaco 1481 34 20 1493 39 409 12 56 3544

Lautem Iliomar 1069 9 7 818 6 382 7 6 2304

Lautém 1903 60 19 1164 7 55 4 49 3261

116 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Lospalos 2790 55 55 2506 26 1677 9 13 7131

Luro 1839 65 9 1071 7 378 11 1 3381

Tutuala 389 2 2 291 54 1 2 741


Liquiçá 2308 180 99 2875 97 1545 15 3 7122

Maubara 2314 99 14 1964 16 1474 13 53 5947


Lacló 797 12 5 520 12 10 5 16 1377

Laclubar 1103 1 1 659 1 2 1767

Laleia 529 40 1 150 3 73 1 8 805

Manatuto 546 1 1 228 381 5 19 1181

Soibada 421 1 1 211 1 4 6 10 655

Manufahi Alas 857 984 1 238 2 3 2085

Fatuberlio 934 7 7 721 6 770 9 38 2492

Same 3168 20 16 3205 32 2767 68 56 9332

Turiscai 1097 56 6 989 16 726 1 5 2896

Oe-Cusse Nitibe 2750 19 12 1395 8 173 11 6 4374

Oesilo 2337 13 318 5 204 40 14 2931

Pante Macassar

7199 6 5 2010 2 1331 15 46 10614

Passabe 1636 5 1009 1 404 3 55 3113


Ossu 2703 8 12 1447 3 661 57 4 4895

Uato-Lari 3141 17 1 1919 8 105 10 42 5243

Uato-Carbau

1938 61 15 1573 108 884 17 2 4598

Viqueque 2594 41 64 1797 41 740 17 94 5388

Timor Leste

128097 3619 1250 85462 1403 46645 1236 2186 269898

117 | P a g e

Table A.8: Number of parcels in household agricultural holdings by type of land use , sex of holder by Municipality/ Sub-

municipality: TLAC 2019 Female Holders


Type of land use Total* Number of Parcels in Household

Agricultural Holdings (*column

total only)

Temporary crops

Temporarily fallow

Temporary meadows

and pastures

Permanent crops

Permanent meadows

and pestures

Farm building

and farmyards

Aquaculture Other area n.e.c.

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila

585 10 5 323 8 393 25 2 1351

Laulara 172 162 15 2 351

Lequidoe 230 180 86 1 497

Remexio 204 3 1 154 87 1 450

Ainaro Ainaro Vila

257 12 11 392 6 302 6 5 991

Hato-Udo 238 12 154 1 100 2 12 519

Hato-Builico

204 22 4 210 1 99 1 1 542

Maubisse 265 35 1 242 8 208 6 765

Baucau Baguia 384 3 183 1 67 1 639

Baucau 797 7 12 218 24 478 6 5 1547

Laga 449 11 13 105 7 208 1 794

Quelicai 929 81 11 527 20 150 2 1720

Vemasse 218 1 40 192 1 452

Venilale 413 1 159 13 3 2 591

Bobonaro Atabae 238 17 10 60 174 2 501

Balibo 538 43 4 270 17 412 9 57 1350

118 | P a g e

Female Holders Table A.8 contd……

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Bobonaro 742 13 2 436 5 93 26 1317

Cailaco 331 1 128 38 2 500

Lolotoe 175 5 1 175 77 1 4 438

Maliana 614 3 3 196 1 148 4 10 979


Fatumean 76 41 10 127

Fohorem 98 1 1 77 1 19 2 1 200

Maucatar 297 1 250 27 3 578

Suai 461 37 3 103 7 405 8 1024

Tilomar 127 10 3 74 1 62 277

Zumalai 333 14 2 242 5 12 10 618

Dili Atauro 340 91 1 48 480

Cristo Rei 206 20 8 183 1 84 2 8 512

Dom

Aleixo

67 2 1 17 130 1 13 231

Metinaro 43 4 1 19 1 68

Nain Feto 19 8 47 4 78

Vera

Cruz

36 12 73 17 138

Ermera Atsabe 371 23 7 362 7 256 6 1032

Ermera 447 13 5 462 1 191 3 15 1137

Hatulia 622 25 27 739 10 256 8 13 1700

Letefoho 483 2 1 699 3 137 23 1348

Railaco 341 2 6 316 6 72 1 10 754

Lautem Iliomar 146 2 3 86 3 72 4 316

Lautém 402 13 1 215 1 14 27 673

119 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Lospalos 853 21 14 631 6 533 3 5 2066

Luro 177 14 2 104 3 42 1 343

Tutuala 86 38 17 141


Liquiçá 344 32 13 406 10 222 1 2 1030

Maubara 505 9 1 400 1 275 8 1199

Manatuto Barique 96 87 29 2 214

Lacló 86 1 56 1 144

Laclubar 361 161 522

Laleia 107 7 44 1 29 2 190

Manatuto 167 49 125 2 11 354

Soibada 48 19 3 70

Manufahi Alas 62 75 24 161

Fatuberlio 116 80 112 2 310

Same 513 2 2 574 2 404 5 5 1507

Turiscai 121 2 109 94 326

Oe-Cusse Nitibe 554 1 2 273 2 24 1 1 858

Oesilo 402 4 1 41 27 1 3 479

Pante Macassar

1091 284 1 229 1 3 1609

Passabe 249 1 109 38 5 402

Viqueque Lacluta 127 2 1 33 1 69 233

Ossu 406 1 2 182 128 1 2 722

Uato-Lari 443 9 2 249 1 13 1 6 724

Uato-Carbau

274 5 4 198 13 177 2 673

Viqueque 414 10 7 258 16 103 33 841

Timor Leste

21052 595 201 13204 203 8102 119 424 43900

120 | P a g e

Table A.9: - Area(Ha) of parcels in household agricultural holdings by type of land use , sex of holder by Municipality/ Sub-municipality: TLAC 2019

All Holders


Type of land use Total Area (ha.)

of Parcels in Household


Temporary crops

Temporarily fallow

Temporary meadows

and pastures

Permanent crops

Permanent meadows

and pestures

Farm building and

farmyards

Aquaculture Other

area n.e.c.

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 1470.0 46.1 16.6 912.6 24.8 444.9 28.8 5.1 2949.0

Laulara 1845.5 1.0 0.4 1681.0 0.0 108.1 0.3 0.8 3637.0

Lequidoe 1640.9 4.8 0.2 1444.7 0.1 426.5 1.5 3.1 3521.7

Remexio 948.1 7.2 9.4 629.3 3.5 185.5 0.7 0.1 1783.7


Hato-Udo 602.4 8.3 2.2 349.5 10.1 26.4 1.4 19.4 1019.7

Hato-Builico 677.0 38.7 10.2 802.2 2.0 183.1 1.3 1.0 1715.5

Maubisse 2968.3 127.4 23.4 3349.5 36.5 1117.2 17.4 57.0 7696.7

Baucau Baguia 1824.9 24.5 5.6 580.4 2.0 135.5 1.8 15.6 2590.3

Baucau 3479.7 94.5 94.4 1209.0 107.5 556.0 4.9 19.6 5565.6

Laga 1655.5 18.1 34.3 328.4 30.4 170.8 0.5 2.3 2240.4

Quelicai 1574.8 49.6 54.8 773.1 103.8 167.6 4.8 1.6 2730.1

Vemasse 866.5 1.3 12.8 264.1 2.3 201.5 0.9 17.0 1366.3

Venilale 6917.4 19.5 4.4 4210.1 6.7 9.5 46.0 21.8 11235.3

Bobonaro Atabae 1030.6 50.9 27.4 366.9 2.0 235.6 46.9 60.4 1820.8

Balibo 5221.8 637.5 55.2 1980.5 162.6 1365.0 44.6 63.9 9531.1

Bobonaro 10033.6 34.5 23.2 3943.8 7.3 30.5 2.2 21.1 14096.2

Cailaco 963.4 17.7 0.1 380.3 1.5 64.2 53.2 1.8 1482.2

Lolotoe 3209.8 178.9 33.0 3115.5 86.7 422.3 10.2 140.0 7196.3

Maliana 4826.8 64.0 5.6 658.7 3.4 1357.0 26.1 187.5 7129.2

Covalima Fatululic 336.0 0.0 0.0 273.0 0.0 1.5 0.0 1.0 611.4

Fatumean 489.4 7.7 3.9 274.4 0.5 16.9 0.8 1.8 795.4

121 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Fohorem 154.9 0.0 0.0 182.4 1.1 5.0 1.1 4.2 348.7

Maucatar 759.2 2.0 0.5 676.4 0.0 13.8 0.0 12.8 1464.8

Suai 1981.7 47.3 6.7 272.9 11.0 647.3 4.4 24.6 2995.9

Tilomar 740.1 43.4 4.8 391.4 3.4 129.4 2.9 5.9 1321.3

Zumalai 1501.4 41.7 4.1 944.4 59.0 6.3 5.4 26.5 2588.7

Dili Atauro 433.2 0.1 1.2 378.5 0.0 5.4 0.1 2835.2 3653.7

Cristo Rei 819.9 151.9 20.5 541.3 1.8 204.9 4.7 43.9 1789.0

Dom Aleixo 249.6 1.9 0.2 37.4 0.0 801.0 4.6 121.6 1216.4

Metinaro 5330.4 52.4 50.2 2086.8 0.1 0.5 0.1 0.1 7520.6

Nain Feto 9.1 0.0 0.0 6.9 0.1 109.7 0.1 2.5 128.5

Vera Cruz 26.9 0.0 0.0 14.3 0.0 7.7 0.2 41.0 90.1

Ermera Atsabe 1617.3 70.2 69.4 2044.3 133.7 543.4 34.1 8.9 4521.2

Ermera 5656.2 32.4 1.7 6896.7 3.6 1018.4 177.2 6.4 13792.5

Hatulia 2087.0 81.3 25.1 3283.3 28.9 1105.3 46.6 32.8 6690.3

Letefoho 3082.2 18.1 5.1 7548.1 7.5 786.8 54.1 232.3 11734.2

Railaco 1529.3 8.5 14.2 1592.2 21.2 173.6 5.2 18.1 3362.3

Lautem Iliomar 834.1 7.8 4.8 765.2 6.6 135.1 3.8 0.9 1758.2

Lautém 881.2 17.9 55.8 574.9 51.8 14.0 0.5 5.5 1601.6

Lospalos 1451.1 72.4 69.5 1309.1 17.9 376.6 1.2 20.4 3318.2

Luro 868.0 38.9 5.6 414.4 2.3 26.3 0.9 1.0 1357.5

Tutuala 263.4 1.0 0.0 251.2 0.0 0.7 0.1 3.4 519.9

Liquica Bazartete 882.6 90.8 123.9 1041.4 1.7 282.3 23.8 12.1 2458.6

Liquiçá 1579.4 131.2 68.9 3194.8 132.3 683.1 2.8 18.1 5810.7

Maubara 1261.7 44.7 6.4 964.8 4.5 287.5 3.5 6.5 2579.6

122 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)


Lacló 584.9 3.1 4.0 292.9 36.0 3.1 2.1 15.3 941.5

Laclubar 129.6 2.5 0.0 53.4 0.0 0.0 0.0 0.1 185.7

Laleia 232.6 16.7 0.0 19.7 1.8 4.2 0.0 0.1 275.1

Manatuto 132.4 0.0 0.0 158.5 0.0 15.9 2.1 4.9 313.8

Soibada 305.0 0.0 0.0 271.7 0.0 0.1 2.1 0.0 579.0

Manufahi Alas 774.4 0.0 0.0 1441.6 0.1 96.6 0.1 30.9 2343.6

Fatuberlio 419.3 7.0 3.1 438.3 8.4 245.3 4.2 427.6 1553.1

Same 1426.1 10.9 8.2 1816.4 5.1 700.3 66.9 191.2 4225.2

Turiscai 876.5 48.1 5.1 1449.9 27.0 828.5 0.0 10.5 3245.6

Oe-Cusse Nitibe 1894.0 2.2 3.1 1058.7 3.8 9.6 23.3 12.9 3007.7

Oesilo 1761.5 2.4 0.0 93.6 0.5 65.2 6.8 7.9 1938.0

Pante Macassar 2214.4 1.0 3.0 614.3 1.1 170.0 3.5 31.1 3038.4

Passabe 732.3 1.3 0.0 330.5 0.0 116.8 11.8 56.5 1249.1

Viqueque Lacluta 427.6 1.3 1.9 175.7 1.9 62.2 1.0 0.0 671.7

Ossu 1043.1 2.3 6.8 467.1 1.4 203.7 19.7 1.1 1745.3

Uato-Lari 1623.2 7.7 0.5 1460.9 10.0 5.8 1.9 8.3 3118.3

Uato-Carbau 1053.0 22.2 8.3 912.3 64.9 144.5 0.3 0.3 2205.8

Viqueque 4739.6 23.6 63.0 4334.5 26.6 208.7 65.0 49.9 9510.7

Timor Leste

107762.2 2561.3 1067.1 79938.1 1275.9 17699.7 894.6 4980.7 216179.6

123 | P a g e


Male Holders


Type of land use Total Area (ha.)

of Parcels in Household


Temporary crops

Temporarily fallow

Temporary meadows

and pastures

Permanent crops

Permanent meadows

and pestures

Farm building and farmyards

Aquaculture Other

area n.e.c.

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 1265.0 34.8 15.4 775.9 24.3 361.5 19.8 5.0 2501.8

Laulara 1646.4 1.0 0.4 1467.3 0.0 98.7 0.3 0.7 3214.7

Lequidoe 1444.6 4.8 0.2 1241.1 0.1 309.8 1.0 3.1 3004.6

Remexio 872.3 6.7 9.1 571.6 3.5 167.8 0.6 0.1 1631.5


Hato-Udo 559.5 5.9 2.2 319.9 10.1 24.1 1.4 15.5 938.6

Hato-Builico 597.0 34.2 9.4 747.0 2.0 172.4 1.0 1.0 1564.0

Maubisse 2823.2 114.7 23.4 3179.8 33.8 1033.7 15.7 57.0 7281.1

Baucau Baguia 1679.6 22.2 5.6 527.8 1.0 117.5 1.7 15.5 2371.0

Baucau 3172.5 91.4 91.8 1130.8 92.2 495.0 4.8 18.5 5097.2

Laga 1421.7 16.9 31.3 298.0 28.4 148.1 0.4 2.3 1947.0

Quelicai 1341.1 45.9 52.0 678.6 97.8 154.5 4.1 1.3 2375.4

Vemasse 800.8 1.3 12.8 244.8 2.3 173.7 0.9 16.8 1253.2

Venilale 6384.5 15.5 3.9 3880.5 6.7 7.5 44.5 10.8 10353.7

Bobonaro Atabae 951.8 47.5 25.9 340.2 2.0 215.2 46.7 60.3 1689.5

Balibo 4269.0 588.6 44.9 1624.7 61.3 1007.6 44.6 57.7 7698.3

Bobonaro 9057.8 29.4 22.2 3516.6 6.1 26.6 0.2 20.9 12679.8

Cailaco 828.5 17.2 0.1 301.2 1.5 59.0 53.0 1.8 1262.3

Lolotoe 2918.9 163.9 25.1 2712.2 84.3 377.7 10.2 125.5 6417.7

Maliana 3839.9 44.0 2.4 348.9 3.2 1216.8 23.7 120.1 5599.0


Fatumean 457.4 7.7 3.4 257.1 0.0 15.0 0.8 1.8 743.3

124 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Fohorem 143.2 0.0 0.0 144.6 1.0 4.2 1.1 4.2 298.2

Maucatar 565.3 1.0 0.5 447.9 0.0 10.5 0.0 11.5 1036.8

Suai 1726.3 37.8 5.6 239.3 10.6 570.5 4.4 17.7 2612.2

Tilomar 669.7 37.0 3.3 351.0 2.9 114.5 2.9 5.8 1187.0

Zumalai 1180.0 30.9 2.1 770.9 57.5 4.0 4.4 21.5 2071.3

Dili Atauro 372.7 0.1 1.2 320.5 0.0 5.4 0.1 55.1 755.0

Cristo Rei 672.1 118.8 8.5 477.5 1.6 186.9 1.7 32.9 1499.9

Dom Aleixo 235.7 1.7 0.2 33.1 0.0 719.6 4.6 119.4 1114.4

Metinaro 4598.2 52.3 50.1 1614.5 0.0 0.5 0.1 0.1 6315.8

Nain Feto 7.9 0.0 0.0 6.7 0.1 95.5 0.0 2.5 112.7

Vera Cruz 20.4 0.0 0.0 13.2 0.0 7.4 0.2 35.9 77.1

Ermera Atsabe 1441.4 54.0 65.9 1798.8 129.0 495.3 32.2 6.9 4023.5

Ermera 4484.5 32.2 1.5 5386.5 3.6 930.1 177.2 4.2 11019.8

Hatulia 1851.0 74.3 18.2 2947.8 27.6 1003.1 46.3 30.9 5999.2

Letefoho 2649.0 17.9 4.9 6338.3 7.1 674.8 54.0 204.2 9950.2

Railaco 1187.6 8.0 12.6 1295.0 19.8 145.3 3.2 11.4 2682.8

Lautem Iliomar 764.7 7.0 4.1 723.1 6.4 116.9 3.8 0.1 1626.1

Lautém 793.2 16.1 55.8 504.2 51.7 11.2 0.5 2.7 1435.3

Lospalos 1127.8 57.1 67.3 1082.0 16.8 298.7 0.9 17.4 2668.0

Luro 788.9 33.0 4.1 367.0 1.2 24.5 0.9 1.0 1220.6

Tutuala 221.2 1.0 0.0 222.1 0.0 0.5 0.1 3.4 448.3


Liquiçá 1411.3 109.5 61.2 2918.6 125.9 631.3 2.8 15.1 5275.8

Maubara 1075.0 39.8 5.3 824.5 4.3 243.1 3.0 6.4 2201.3

125 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)


Lacló 540.0 3.1 4.0 274.1 36.0 2.1 2.1 15.3 876.6

Laclubar 95.2 0.0 0.0 32.6 0.0 0.0 0.0 0.1 128.0

Laleia 213.1 16.0 0.0 18.7 1.7 3.9 0.0 0.1 253.6

Manatuto 128.1 0.0 0.0 145.7 0.0 10.8 1.1 4.8 290.5

Soibada 290.0 0.0 0.0 261.3 0.0 0.0 2.1 0.0 553.5

Manufahi Alas 707.8 0.0 0.0 1210.7 0.1 85.3 0.1 30.0 2033.9

Fatuberlio 369.5 7.0 3.1 382.5 8.4 206.6 4.2 408.5 1389.6

Same 1238.8 8.9 6.2 1502.2 4.9 642.4 66.6 172.4 3642.4

Turiscai 791.1 46.1 5.1 1317.4 27.0 766.8 0.0 10.5 2964.1

Oe-Cusse Nitibe 1636.2 2.0 2.8 857.4 3.2 7.5 18.3 10.4 2537.8

Oesilo 1505.1 2.4 0.0 85.2 0.5 62.6 5.8 7.9 1669.4

Pante Macassar 1887.5 1.0 3.0 511.2 1.0 148.6 3.3 30.0 2585.7

Passabe 631.9 1.3 0.0 300.7 0.0 109.2 1.8 51.5 1096.3


Ossu 918.6 1.9 5.8 419.2 1.4 164.9 19.2 1.1 1532.1

Uato-Lari 1469.2 6.5 0.0 1284.7 10.0 4.2 1.9 7.7 2784.1

Uato-Carbau 922.6 19.7 5.9 825.2 50.6 118.3 0.3 0.0 1942.6

Viqueque 4146.4 20.8 57.8 3737.6 19.4 188.0 65.0 39.9 8274.7

Timor Leste

93916.4 2266.2 976.4 68524.9 1100.5 15478.2 844.9 1951.4 185058.8

126 | P a g e


Female Holders


Type of land use Total Area (ha.) of Parcels in Household


Temporary crops

Temporarily fallow

Temporary meadows

and pastures

Permanent crops

Permanent meadows

and pestures

Farm building and

farmyards

Aquaculture Other

area n.e.c.

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 205.0 11.3 1.2 136.7 0.5 83.3 9.0 0.1 447.2

Laulara 199.1 0.0 0.0 213.7 0.0 9.4 0.0 0.1 422.3

Lequidoe 196.3 0.0 0.0 203.7 0.0 116.6 0.5 0.0 517.1

Remexio 75.8 0.6 0.3 57.7 0.0 17.7 0.1 0.0 152.2


Hato-Udo 43.0 2.3 0.0 29.6 0.0 2.3 0.0 3.8 81.1

Hato-Builico 80.0 4.5 0.9 55.2 0.0 10.7 0.3 0.0 151.5

Maubisse 145.1 12.7 0.1 169.7 2.8 83.5 1.7 0.0 415.5

Baucau Baguia 145.3 2.3 0.0 52.6 1.0 18.0 0.1 0.0 219.3

Baucau 307.2 3.1 2.6 78.1 15.3 61.0 0.0 1.1 468.3

Laga 233.8 1.2 3.1 30.5 2.1 22.8 0.0 0.0 293.4

Quelicai 233.6 3.7 2.8 94.4 6.0 13.1 0.7 0.3 354.7

Vemasse 65.7 0.0 0.1 19.3 0.0 27.8 0.0 0.1 113.1

Venilale 532.9 4.0 0.5 329.6 0.0 2.0 1.5 11.0 881.5

Bobonaro Atabae 78.8 3.4 1.5 26.7 0.0 20.4 0.3 0.0 131.2

Balibo 952.8 48.9 10.3 355.8 101.4 357.4 0.1 6.2 1832.8

Bobonaro 975.8 5.1 1.0 427.2 1.2 3.9 2.0 0.2 1416.4

Cailaco 134.9 0.5 0.0 79.0 0.0 5.2 0.3 0.0 219.9

Lolotoe 290.9 15.0 7.9 403.3 2.3 44.6 0.0 14.5 778.5

Maliana 986.9 20.0 3.3 309.9 0.1 140.1 2.4 67.4 1530.1


Fatumean 32.0 0.0 0.5 17.2 0.5 1.9 0.0 0.0 52.1

127 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Fohorem 11.8 0.0 0.0 37.8 0.0 0.8 0.1 0.0 50.5

Maucatar 193.9 1.0 0.0 228.5 0.0 3.3 0.0 1.3 428.0

Suai 255.4 9.5 1.1 33.6 0.4 76.8 0.0 6.9 383.6

Tilomar 70.4 6.4 1.5 40.4 0.5 14.9 0.0 0.1 134.3

Zumalai 321.4 10.8 2.0 173.5 1.5 2.3 1.0 5.0 517.4

Dili Atauro 60.6 0.0 0.0 58.0 0.0 0.0 0.0 2780.1 2898.7

Cristo Rei 147.8 33.1 12.0 63.9 0.2 18.1 3.0 11.1 289.1

Dom Aleixo 13.9 0.2 0.0 4.3 0.0 81.4 0.0 2.1 102.0

Metinaro 732.1 0.1 0.1 472.4 0.0 0.0 0.0 0.0 1204.7

Nain Feto 1.2 0.0 0.0 0.2 0.0 14.2 0.1 0.0 15.8

Vera Cruz 6.5 0.0 0.0 1.1 0.0 0.3 0.0 5.1 12.9

Ermera Atsabe 175.9 16.2 3.5 245.6 4.6 48.0 2.0 2.0 497.8

Ermera 1171.7 0.2 0.2 1510.1 0.0 88.3 0.0 2.2 2772.7

Hatulia 236.1 7.0 6.9 335.5 1.3 102.2 0.2 1.9 691.1

Letefoho 433.2 0.2 0.2 1209.8 0.4 112.0 0.1 28.2 1784.0

Railaco 341.8 0.5 1.6 297.2 1.4 28.3 2.0 6.7 679.5

Lautem Iliomar 69.4 0.8 0.7 42.1 0.3 18.2 0.0 0.8 132.1

Lautém 88.0 1.8 0.0 70.7 0.1 2.9 0.0 2.8 166.3

Lospalos 323.3 15.3 2.2 227.1 1.1 78.0 0.3 3.0 650.2

Luro 79.1 5.9 1.5 47.4 1.2 1.8 0.0 0.0 136.8

Tutuala 42.2 0.0 0.0 29.2 0.0 0.2 0.0 0.0 71.6


Liquiçá 168.0 21.8 7.7 276.2 6.4 51.8 0.0 3.0 534.9

Maubara 186.7 4.9 1.2 140.3 0.2 44.4 0.5 0.2 378.3

128 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)


Lacló 44.9 0.0 0.0 18.9 0.0 1.0 0.0 0.0 64.8

Laclubar 34.4 2.5 0.0 20.8 0.0 0.0 0.0 0.0 57.7

Laleia 19.5 0.7 0.0 1.0 0.0 0.4 0.0 0.0 21.5

Manatuto 4.3 0.0 0.0 12.8 0.0 5.1 1.0 0.1 23.3

Soibada 15.0 0.0 0.0 10.4 0.0 0.1 0.0 0.0 25.5

Manufahi Alas 66.6 0.0 0.0 231.0 0.0 11.3 0.0 0.9 309.7

Fatuberlio 49.8 0.0 0.0 55.9 0.0 38.7 0.0 19.1 163.5

Same 187.3 2.0 2.0 314.2 0.3 57.8 0.3 18.8 582.8

Turiscai 85.4 2.0 0.0 132.5 0.0 61.7 0.0 0.0 281.6

Oe-Cusse Nitibe 257.8 0.2 0.4 201.3 0.6 2.1 5.0 2.5 469.9

Oesilo 256.4 0.0 0.0 8.4 0.0 2.6 1.0 0.0 268.6

Pante Macassar 326.9 0.0 0.0 103.1 0.0 21.4 0.2 1.1 452.7

Passabe 100.3 0.0 0.0 29.9 0.0 7.5 10.0 5.0 152.7


Ossu 124.6 0.4 1.0 47.9 0.0 38.9 0.5 0.0 213.2

Uato-Lari 154.0 1.3 0.5 176.2 0.0 1.6 0.0 0.6 334.2

Uato-Carbau 130.4 2.5 2.3 87.2 14.3 26.2 0.0 0.3 263.1

Viqueque 593.2 2.7 5.3 596.9 7.2 20.7 0.0 10.0 1236.0

Timor Leste

13845.8 295.2 90.7 11413.2 175.4 2221.5 49.7 3029.4 31120.8

129 | P a g e

Table A.10: Number of parcels of household agricultural holdings by land tenure by sex of holders, by Municipality/ Sub-

municipality: TLAC 2019 All Holders


Land tenure

Total Number of Parcels in Household


Own with certificate

from Portuguese


from Indonesia

Own with other

numero referensia

or certificate

Own

without certificate

Communal land Lease in

Otherwise

(Squatter) operated

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila

331 120 1790 3037 23 15 13 5329

Laulara 120 30 891 730 1 25 14 1811

Lequidoe 8 5 1167 1316 1 1 2498

Remexio 1 8 2032 1055 2 3098

Ainaro Ainaro Vila

148 269 152 2531 8 14 27 3149

Hato-Udo 24 83 7 1973 5 15 11 2118

Hato-Builico

214 32 390 2629 7 2 2 3276

Maubisse 380 57 497 3648 6 3 1 4592

Baucau Baguia 8 7 113 2832 26 92 169 3247

Baucau 120 198 1637 7361 380 72 218 9986

Laga 6 13 111 3224 44 143 177 3718

Quelicai 17 3 59 5155 88 89 172 5583

Vemasse 1 36 293 2393 8 51 2 2784

Venilale 26 172 74 5174 18 38 4 5506

Bobonaro Atabae 1 593 985 1096 1 4 2680

Balibo 25 64 659 2499 12 4 3 3266

Bobonaro 117 69 667 4005 73 2 3 4936

Cailaco 136 588 362 1422 24 4 2 2538

Lolotoe 18 38 4 2836 5 1 2902

Maliana 73 311 1228 2248 9 218 13 4100

130 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Fatumean 3 1 739 1 744

Fohorem 9 208 58 1139 2 1416

Maucatar 91 31 356 1430 7 3 11 1929

Suai 351 736 2805 1769 8 17 14 5700

Tilomar 118 224 977 553 3 5 1 1881

Zumalai 239 583 782 1204 142 13 7 2970

Dili Atauro 268 264 1502 289 3 6 20 2352

Cristo Rei 64 142 2445 311 31 18 19 3030

Dom Aleixo

116 341 979 308 9 15 20 1788

Metinaro 137 3 274 42 2 6 464

Nain Feto 80 96 265 34 9 1 3 488

Vera Cruz

264 183 200 100 3 4 22 776

Ermera Atsabe 8 70 54 4387 132 1 57 4709

Ermera 1614 1746 2257 938 97 17 39 6708

Hatulia 128 504 1086 9074 397 159 6 11354

Letefoho 202 808 200 5604 167 5 6986

Railaco 140 183 1414 608 17 17 23 2402

Lautem Iliomar 2 1 9 1987 20 6 35 2060

Lautém 15 7 484 2071 86 11 37 2711

Lospalos 239 22 3200 2598 60 67 16 6202

Luro 3 2 4 2338 83 91 53 2574

Tutuala 60 71 90 342 34 3 1 601

131 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Liquica Bazartete 520 557 2127 1281 26 2 20 4533

Liquiçá 215 61 2592 1841 4 2 13 4728

Maubara 118 362 1973 1207 31 6 4 3701

Manatuto Barique 22 281 124 1000 64 1 1492

Lacló 101 232 300 337 135 6 62 1173

Laclubar 112 22 175 1297 33 6 33 1678

Laleia 26 16 603 136 1 19 801

Manatuto 232 458 425 163 10 35 98 1421

Soibada 2 2 7 504 7 60 582

Manufahi Alas 31 98 657 684 5 1 1 1477

Fatuberlio 1 38 201 1214 14 2 2 1472

Same 537 168 1446 4198 17 7 7 6380

Turiscai 173 19 1232 1 1425

Oe-Cusse Nitibe 517 166 48 2692 13 27 1 3464

Oesilo 41 500 1318 1103 2 9 2 2975

Pante Macassar

194 1304 3095 3973 697 44 10 9317

Passabe 268 93 408 1168 2 5 1 1945


Ossu 18 41 211 3481 118 12 60 3941

Uato-Lari 21 26 239 3066 669 478 31 4530

Uato-Carbau

2 2 35 3104 130 69 257 3599

Viqueque 126 85 136 3151 530 46 335 4409

Timor Leste 9215 13454 48680 134259 4562 2035 2264 214469

132 | P a g e


municipality: TLAC 2019 Male Holders


Land tenure




from Portuguese


from Indonesia

Own with other

numero referensia

or certificate

Own without

certificate Communal

land Lease in

Otherwise (Squatter) operated

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 219 76 1552 2643 17 10 6 4523

Laulara 109 27 761 661

22 11 1591

Lequidoe 8 4 1020 1147

1 2180

Remexio 1 8 1830 969 2

2810

Ainaro Ainaro Vila 119 234 127 1974 7 11 22 2494

Hato-Udo 19 67 6 1668 3 14 9 1786

Hato-Builico 189 30 341 2325 5 2 2 2894

Maubisse 325 52 460 3365 6 2 1 4211

Baucau Baguia 7 7 99 2470 22 80 150 2835

Baucau 101 171 1448 6498 330 67 195 8810

Laga 3 12 100 2792 38 128 147 3220

Quelicai 14 3 47 4246 79 89 131 4609

Vemasse 1 33 163 2100 6 46 2 2351

Venilale 21 152 66 4750 15 35 4 5043

Bobonaro Atabae 1 525 898 910 1 4

2339

Balibo 20 48 497 1985 11 4 3 2568

Bobonaro 80 57 570 3254 57 1 3 4022

Cailaco 115 518 300 1212 15 3 2 2165

Lolotoe 15 29 4 2470 5 1

2524

Maliana 41 247 1023 1734 8 173 12 3238

133 | P a g e

Male Holders Table A.10 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Covalima Fatululic 4 1

403

14 422

Fatumean 2 1

655

658

Fohorem 9 168 52 1016 1

1246

Maucatar 79 23 300 952 4 2 9 1369

Suai 300 634 2377 1516 6 16 7 4856

Tilomar 108 202 857 487 3 5 1 1663

Zumalai 216 499 657 1038 107 10 7 2534

Dili Atauro 203 235 1234 247 3 4 20 1946

Cristo Rei 53 125 2103 263 27 17 18 2606

Dom Aleixo

91 286 883 277 8 14 14 1573

Metinaro 107 2 246 38 2 6

401

Nain Feto 60 79 227 31 7 1 3 408

Vera Cruz

194 150 178 89 3 4 21 639

Ermera Atsabe 7 62 54 3784 107

49 4063

Ermera 1437 1510 2043 846 87 16 35 5974

Hatulia 105 462 994 8112 360 155 5 10193

Letefoho 167 704 157 4862 142 5

6037

Railaco 99 158 1188 483 15 17 20 1980

Lautem Iliomar 2

9 1745 17 5 31 1809

Lautém 14 6 419 1679 64 7 27 2216

Lospalos 192 17 2486 1918 53 53 13 4732

Luro 3 2 4 2115 74 81 50 2329

Tutuala 52 61 66 291 21

491

134 | P a g e

Male Holders Table A.10 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Liquiçá 201 58 2232 1664 4 1 11 4171

Maubara 102 308 1625 991 26 5 4 3061


1353

Lacló 90 211 265 312 119 3 56 1056

Laclubar 48 17 153 993 26 6 29 1272

Laleia 23 13 485 114 1 19

655

Manatuto 157 340 325 147 10 30 71 1080

Soibada 2 2 7 456 7

53 527

Manufahi Alas 29 89 608 635 5 1 1 1368

Fatuberlio

37 146 1119 10 2 2 1316

Same 448 148 1313 3569 16 7 6 5507

Turiscai 158 19

1088 1

1266

Oe-Cusse Nitibe 422 143 41 2256 11 20 1 2894

Oesilo 32 436 1094 965 2 7 1 2537

Pante Macassar

168 1124 2699 3440 632 40 9 8112

Passabe 230 87 360 1007 2 2 1 1689

Viqueque Lacluta 9

1 1624 1

32 1667

Ossu 18 35 186 2991 102 10 47 3389

Uato-Lari 20 22 203 2666 583 445 31 3970

Uato-Carbau

2 1 33 2650 112 62 237 3097

Viqueque 108 66 121 2707 445 44 301 3792

Timor Leste 7622 11589 41752 115427 3939 1817 1957 184103

135 | P a g e


municipality: TLAC 2019 Female Holders


Land tenure




from Portuguese


from Indonesia

Own with other

numero referensia

or certificate

Own

without certificate

Communal land Lease in

Otherwise

(Squatter) operated

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila

112 44 238 394 6 5 7 806

Laulara 11 3 130 69 1 3 3 220

Lequidoe

1 147 169

1

318

Remexio

202 86

288

Ainaro Ainaro Vila

29 35 25 557 1 3 5 655

Hato-Udo 5 16 1 305 2 1 2 332

Hato-Builico

25 2 49 304 2

382

Maubisse 55 5 37 283

1

381

Baucau Baguia 1

14 362 4 12 19 412

Baucau 19 27 189 863 50 5 23 1176

Laga 3 1 11 432 6 15 30 498

Quelicai 3

12 909 9

41 974

Vemasse

3 130 293 2 5

433

Venilale 5 20 8 424 3 3

463

Bobonaro Atabae

68 87 186

341

Balibo 5 16 162 514 1

698

Bobonaro 37 12 97 751 16 1

914

Cailaco 21 70 62 210 9 1

373

Lolotoe 3 9

366

378

Maliana 32 64 205 514 1 45 1 862

136 | P a g e

Female Holders Table A.10 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Covalima Fatululic

170

1 171

Fatumean 1

84

1 86

Fohorem

40 6 123 1

170

Maucatar 12 8 56 478 3 1 2 560

Suai 51 102 428 253 2 1 7 844

Tilomar 10 22 120 66

218

Zumalai 23 84 125 166 35 3

436

Dili Atauro 65 29 268 42

2

406

Cristo Rei 11 17 342 48 4 1 1 424

Dom Aleixo

25 55 96 31 1 1 6 215

Metinaro 30 1 28 4

63

Nain Feto 20 17 38 3 2

80

Vera Cruz

70 33 22 11

1 137

Ermera Atsabe 1 8

603 25 1 8 646

Ermera 177 236 214 92 10 1 4 734

Hatulia 23 42 92 962 37 4 1 1161

Letefoho 35 104 43 742 25

949

Railaco 41 25 226 125 2

3 422

Lautem Iliomar

1

242 3 1 4 251

Lautém 1 1 65 392 22 4 10 495

Lospalos 47 5 714 680 7 14 3 1470

Luro

223 9 10 3 245

Tutuala 8 10 24 51 13 3 1 110

137 | P a g e

Female Holders Table A.10 contd….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Liquica Bazartete 87 59 239 179 2

1 567

Liquiçá 14 3 360 177

1 2 557

Maubara 16 54 348 216 5 1

640


139

Lacló 11 21 35 25 16 3 6 117

Laclubar 64 5 22 304 7

4 406

Laleia 3 3 118 22

146

Manatuto 75 118 100 16

5 27 341

Soibada

48

7 55


109

Fatuberlio 1 1 55 95 4

156

Same 89 20 133 629 1

1 873

Turiscai 15

144

159

Oe-Cusse Nitibe 95 23 7 436 2 7

570

Oesilo 9 64 224 138

2 1 438

Pante Macassar

26 180 396 533 65 4 1 1205

Passabe 38 6 48 161

3

256

Viqueque Lacluta

201

3 204

Ossu

6 25 490 16 2 13 552

Uato-Lari 1 4 36 400 86 33

560

Uato-Carbau

1 2 454 18 7 20 502

Viqueque 18 19 15 444 85 2 34 617

Timor Leste 1593 1865 6928 18832 623 218 307 30366

138 | P a g e

Table A.11: Number of household agricultural holdings involved in cultivation of

crops/plants/trees by broad type of crops cultivated by Municipality/ Sub-municipality: TLAC

2019


Number of

Agricultural Households

Holdings

Broad type of crops cultivated

Permanent

crops only

Temporary

crops only Both None

(1) (2) (3) (4) (5) (6) (7)

Aileu Aileu Vila

3329 59 1051 2086 133

Laulara 1091 71 196 806 18

Lequidoe 1200 10 158 1020 12

Remexio 1773 57 477 1197 42

Ainaro Ainaro Vila

1960 228 177 1415 140

Hato-Udo 1702 74 221 1195 212

Hato-Builico

1482 134 228 1045 75

Maubisse 2386 102 188 2003 93

Baucau Baguia 1844 13 262 1509 60

Baucau 6046 190 2304 2984 568

Laga 2778 44 1251 1304 179

Quelicai 3248 14 638 2522 74

Vemasse 1565 31 1011 249 274

Venilale 2885 41 660 2136 48

Bobonaro Atabae 1923 52 773 819 279

Balibo 2632 25 537 1881 189

Bobonaro 3644 74 569 2867 134

Cailaco 1840 33 396 1327 84

139 | P a g e

Table A.11 contd……

(1) (2) (3) (4) (5) (6) (7)

Lolotoe 1472 92 427 896 57

Maliana 2954 147 850 1590 367


Fatumean 613 28 209 341 35

Fohorem 772 45 178 525 24

Maucatar 1564 194 493 581 296

Suai 3396 86 1617 955 738

Tilomar 1512 163 435 674 240

Zumalai 2148 52 235 1765 96

Dili Atauro 1630 1 436 1101 92

Cristo Rei 2640 200 457 1067 916

Dom Aleixo

1662 6 272 178 1206

Metinaro 462 23 158 180 101

Nain Feto 475 4 17 135 319

Vera Cruz

730 21 101 226 382

Ermera Atsabe 2487 236 409 1752 90

Ermera 3994 202 192 3489 111

Hatulia 5128 216 305 4509 98

Letefoho 3402 196 49 3086 71

Railaco 1472 47 92 1268 65

Lautem Iliomar 1258 59 399 607 193

Lautém 2453 104 352 1725 272

Lospalos 4129 190 682 2718 539

Luro 1227 20 285 860 62

Tutuala 457 5 134 248 70

140 | P a g e

Table A.11 contd……

(1) (2) (3) (4) (5) (6) (7)


Liquiçá 2796 80 221 2129 366

Maubara 3429 87 504 2426 412


Lacló 1027 36 125 754 112

Laclubar 1532 82 228 1160 62

Laleia 650 11 310 198 131

Manatuto 1053 37 352 300 364

Soibada 446 10 284 117 35

Manufahi Alas 1026 160 183 601 82

Fatuberlio 1115 128 324 590 73

Same 3940 256 710 2321 653

Turiscai 910 28 845 37

Oe-Cusse Nitibe 2668 12 972 1631 53

Oesilo 2403 44 1733 560 66

Pante Macassar

7024 249 3072 3262 441

Passabe 1703 7 440 1241 15

Viqueque Lacluta 1235 57 480 561 137

Ossu 2950 107 984 1447 412

Uato-Lari 3306 82 669 2126 429

Uato-Carbau

1436 28 173 1171 64

Viqueque 3847 189 518 2495 645

Timor Leste

141141 5519 32804 88730 14088

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Table A.12: Number of household agricultural holdings cultivated crops/plants/trees during last 12 months by size-class of cultivated area, by



Number of agricultural household holdings cultivated Crops/plants/trees by size-class of cultivated area

<0.02ha. 0.02 ha. - 0.99 has.

1.00 ha. - 3.99 has.

4.00 has. - 9.99 has.

10.00 has. - 19.99

has.

20.00 has. - 49.99

has.

50.00 has. - 99.99

has.

100 hectares and over

Number of agricultural household

holdings cultivated crops/plants/ trees

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 329 1911 806 133 3 7 1 5 3195

Laulara 154 561 166 67 73 40 12 1073

Lequidoe 9 441 375 171 113 74 3 2 1188

Remexio 88 624 667 258 65 22 5 1 1730

Ainaro Ainaro Vila 534 914 273 70 11 11 5 2 1820

Hato-Udo 192 808 191 136 135 25 2 1 1490

Hato-Builico 32 952 199 145 47 19 8 5 1407

Maubisse 41 1384 637 157 24 15 18 14 2290

Baucau Baguia 490 634 445 135 52 23 3 2 1784

Baucau 570 2631 1554 547 118 48 6 3 5477

Laga 406 1453 628 87 14 8 2 2598

Quelicai 252 1877 759 199 46 35 2 1 3171

Vemasse 254 638 313 56 14 10 6 1 1292

Venilale 106 1503 713 302 86 49 10 69 2838

Bobonaro Atabae 72 1059 330 84 77 18 4 1644

Balibo 672 991 283 275 152 54 8 5 2440

Bobonaro 665 1236 839 363 141 136 33 97 3510

Cailaco 386 699 539 93 28 10 1 1756

Lolotoe 171 570 262 169 126 93 20 4 1415

Maliana 382 1225 700 130 65 46 27 14 2589

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Table A.12 contd……..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Covalima Fatululic 1 87 231 43 20 1 1 384

Fatumean 35 214 303 9 1 4 3 8 577

Fohorem 11 675 39 15 5 2 747

Maucatar 45 483 401 182 103 43 9 2 1268

Suai 59 1478 1059 38 9 8 6 2 2659

Tilomar 31 644 515 61 11 4 3 1 1270

Zumalai 793 380 656 183 22 11 5 4 2054

Dili Atauro 303 909 30 30 84 177 1 3 1537

Cristo Rei 507 728 242 164 69 14 1 1725

Dom Aleixo 141 231 66 6 4 3 6 457

Metinaro 107 141 11 12 5 4 35 46 361

Nain Feto 123 27 6 156

Vera Cruz 297 39 27 2 2 367

Ermera Atsabe 23 841 1115 305 66 39 5 1 2395

Ermera 1039 2091 420 215 43 31 18 26 3883

Hatulia 959 2153 1228 435 147 74 20 13 5029

Letefoho 285 1876 792 247 48 23 34 26 3331

Railaco 90 421 355 249 166 119 3 4 1407

Lautem Iliomar 70 330 380 165 70 33 15 2 1065

Lautém 339 1085 459 152 102 36 6 1 2180

Lospalos 127 1733 1073 459 131 51 8 6 3588

Luro 18 276 503 229 80 49 6 4 1165

Tutuala 160 54 72 57 29 7 4 4 387


Liquiçá 66 880 785 408 174 93 15 9 2430

Maubara 142 1942 759 115 30 8 9 12 3017

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(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Manatuto Barique 240 386 118 96 11 6 4 1 862

Lacló 316 357 87 125 26 2 1 914

Laclubar 206 1167 67 14 8 4 2 2 1470

Laleia 83 332 92 8 4 519

Manatuto 275 346 59 3 3 3 689

Soibada 24 197 135 33 11 5 4 2 411

Manufahi Alas 39 496 179 114 53 33 9 19 942

Fatuberlio 289 541 174 31 2 4 1 1042

Same 352 1938 703 204 44 29 4 11 3285

Turiscai 4 255 388 118 19 13 19 57 873

Oe-Cusse Nitibe 562 1442 332 157 47 19 10 47 2616

Oesilo 228 1060 909 103 17 3 4 12 2336

Pante Macassar 1056 4229 916 262 52 45 21 4 6585

Passabe 521 479 549 93 34 4 6 1686


Ossu 400 1318 619 154 26 17 2 2 2538

Uato-Lari 329 1347 871 254 48 22 4 2 2877

Uato-Carbau 313 366 369 169 100 39 8 8 1372

Viqueque 683 1111 1110 162 38 15 22 61 3202

Total 18660 61479 30971 9548 3383 1862 507 641 127051

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Table A.13: Total area (in hectares) used for crops/plants/trees during last 12 months by size-class of cultivated area, by Municipality/ Sub-municipality: TLAC

2019


Total area (ha.) used for crops//plants/trees during last 12 months by size-class of cultivated area

Total cultivated area (Ha.)

<.02 0.02 ha. - 0.99 ha.

1.00 ha. - 3.99 ha.

4.00 ha. - 9.99 ha.

10.00 ha. - 19.99 ha.

20.00 ha. - 49.99 ha.

50.00 ha. - 99.99 ha.

100 ha.& over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Aileu Aileu Vila 4468.7 10.3 1719.5 1238.8 110.0 125.0 125.0 1140.0

Laulara 3698.6 20.9 451.7 624.5 1202.1 925.3 424.0 50.0

Lequidoe 6003.8 27.2 2709.5 2947.1 98.0 122.0 100.0

Remexio 5087.4 6.6 3107.2 1442.6 11.0 10.0 160.0 150.0 200.0


Hato-Udo 4147.4 19.9 2327.7 1430.8 95.0 60.0 64.0 150.0

Hato-Builico 4147.3 21.2 1145.5 1112.7 144.0 136.0 483.0 805.0 300.0

Maubisse 7453.4 27.3 1275.3 1457.8 533.7 646.0 919.3 1394.0 1200.0

Baucau Baguia 4370.7 42.3 1689.6 1031.2 85.6 137.0 293.0 50.0 1042.0

Baucau 10600.6 91.9 3594.5 5306.0 632.0 576.2 200.0 200.0

Laga 2503.3 22.6 1062.8 928.2 198.7 22.0 200.0 69.0

Quelicai 5209.0 89.7 3189.2 1362.1 88.0 45.0 435.0

Vemasse 2039.5 12.1 473.3 703.0 380.3 70.8 350.0 50.0

Venilale 103132.2 169.5 3197.7 2707.1 2730.0 1161.0 3645.0 87122.0 2400.0

Bobonaro Atabae 3386.0 5.3 416.5 1889.4 105.9 200.0 44.0 725.0

Balibo 7311.8 14.2 509.4 1511.6 2135.2 1616.5 335.0 280.0 910.0

Bobonaro 33317.4 75.3 2577.5 3521.3 688.4 4517.0 8590.0 10447.9 2900.0

Cailaco 2724.6 9.2 911.4 1083.0 181.0 10.0 30.0 500.0

Lolotoe 7908.4 7.6 274.0 1407.1 2033.7 2435.0 311.0 430.0 1010.0

Maliana 9366.6 10.6 677.0 1613.9 817.6 977.5 1234.0 1727.0 2309.0

Covalima Fatululic 1185.2 0.8 417.8 687.6 17.0 12.0 50.0

Fatumean 3541.3 0.7 472.8 159.9 33.0 10.0 165.0 100.0 2600.0

145 | P a g e

Table A.13 contd…..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Fohorem 437.5 15.8 206.7 155.0 5.0 55.0

Maucatar 5655.3 13.3 1133.1 3592.9 169.0 367.0 95.0 285.0

Suai 3952.7 9.4 1492.1 838.1 183.0 146.9 345.0 252.0 686.2

Tilomar 1954.8 28.2 1030.7 361.0 115.0 77.0 115.0 228.0

Zumalai 3858.2 1.5 606.6 1858.0 197.0 80.0 345.0 250.0 520.0

Dili Atauro 7098.2 34.6 102.2 6139.3 650.0 72.0 100.0

Cristo Rei 2980.1 37.7 1511.3 1022.0 122.0 72.0 165.0 50.0

Dom Aleixo 657.0 5.4 101.1 107.4 6.0 12.0 425.0

Metinaro 13067.1 7.5 29.5 42.0 118.0 25.0 405.0 12440.0

Nain Feto 16.2 1.7 5.0 9.5

Vera Cruz 72.2 2.2 6.1 38.0 4.0 22.0

Ermera Atsabe 6623.6 17.7 2522.7 3154.4 277.9 105.8 165.0 280.0 100.0

Ermera 12878.0 86.6 1537.3 1770.9 359.3 266.0 1441.0 3817.0 3600.0

Hatulia 13711.0 162.5 2291.4 6879.7 649.2 317.2 796.0 163.0 2452.0

Letefoho 14383.6 93.5 1608.0 2669.7 470.0 2498.0 3220.6 973.8 2850.0

Railaco 9055.6 79.5 2002.5 5743.7 170.0 230.0 230.0 600.0

Lautem Iliomar 5174.9 2.2 1370.2 2047.0 257.5 218.0 205.0 525.0 550.0

Lautém 4971.5 39.1 1364.0 2835.1 98.3 100.0 155.0 200.0 180.0

Lospalos 9997.2 47.7 4321.8 3820.6 614.0 167.0 453.0 423.0 150.0

Luro 6543.9 7.4 2944.1 2240.4 132.0 10.0 40.0 50.0 1120.0

Tutuala 2156.9 4.4 953.3 98.3 41.0 95.0 245.0 720.0


Liquiçá 11962.2 69.0 2570.2 5720.5 1698.0 313.5 377.0 164.0 1050.0

Maubara 6283.1 58.4 1957.9 658.8 354.0 263.0 1849.0 465.0 677.0

Manatuto Barique 1557.3 35.3 268.5 969.5 19.0 115.0 150.0

Lacló 1438.2 33.6 61.6 1231.0 42.0 70.0

146 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11)

Laclubar 1145.3 138.8 185.0 167.0 77.6 35.0 35.0 107.0 400.0

Laleia 320.1 7.6 115.8 188.8 8.0

Manatuto 264.8 9.8 125.9 33.2 36.0 20.0 40.0

Soibada 1284.8 27.6 347.6 512.8 216.8 10.0 20.0 50.0 100.0

Manufahi Alas 11997.5 18.1 1303.5 1265.9 223.0 54.0 3903.0 5230.0

Fatuberlio 750.2 18.3 253.4 343.5 45.0 15.0 75.0

Same 6157.5 90.5 1664.1 2185.9 131.0 277.0 557.0 330.0 922.0

Turiscai 20982.4 4.4 994.8 5488.7 6179.3 2161.8 3603.5 550.0 2000.0

Oe-Cusse Nitibe 29491.6 123.7 1656.4 1291.9 644.9 1154.5 1245.0 2847.2 20528.0

Oesilo 6141.9 17.5 1405.0 1239.5 238.0 10.0 827.0 330.0 2075.0

Pante Macassar 7770.3 71.3 2176.4 2760.1 337.6 246.0 1178.0 776.0 225.0

Passabe 4759.1 39.6 878.5 1245.0 67.0 50.0 55.0 2424.0

Viqueque Lacluta 921.7 15.2 408.1 386.4 27.0 20.0 65.0

Ossu 3646.9 73.9 1354.3 1166.8 154.0 123.0 275.0 100.0 400.0

Uato-Lari 5228.6 59.5 2426.0 1476.3 235.7 204.0 211.0 516.0 100.0

Uato-Carbau 6935.6 21.6 1937.1 2306.4 1055.5 440.0 825.0 50.0 300.0

Viqueque 17615.8 35.8 1757.2 1926.8 94.0 294.0 910.0 10803.0 1795.0

Timor Lestel

509 226.4 2 466.0 85 425.9 113 280.9 29181.3 24 659.9 43 979.4 145 972.9 64 260.2

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Table A.14: Total area (in hectares) used for crops/plants/trees during last 12 months by crop/tree/plants, size-class of cultivated area by type of crops/plants

cultivated: TLAC 2019

Timore Leste/

Crops/plants/trees

cultivated

Total cultivated area (Ha.)

Total area (in Ha.) used for crops//plants/trees during last 12 months by size-class of cultivated area

<0.02ha. 0.02 ha. - 0.99

has. 1.00 ha. - 3.99

has.

4.00 has. - 9.99 has.

10.00 has. - 19.99 has.

20.00 has. - 49.99 has.

50.00 has. - 99.99 has.

100 hectares and over

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Coconut 29309.0 161.8 5301.9 7000.5 1606.3 1274.5 3180.0 10784.0

Coffee 31855.8 116.4 6194.2 11452.0 3037.3 3423.5 3081.5 4551.1

Mango 18289.7 119.0 3138.8 4391.1 1382.2 504.8 1779.5 6974.4

Candlenut 10865.5 61.9 1945.0 2692.8 585.2 428.9 742.7 4409.0

Orange 7348.6 48.3 1392.7 2011.1 469.5 336.6 605.5 2485.0

Guava 4818.7 33.6 729.8 1274.0 285.7 152.0 790.6 1553.0

Cashew 552.4 4.1 119.4 286.9 47.0 25.0 70.0

Kakau 774.3 6.8 198.1 342.9 90.9 10.0 125.6

Pomelo 5122.5 27.7 579.9 641.3 174.3 69.3 264.0 3366.0

Sourop 4044.6 16.4 412.5 719.1 81.6 66.9 359.0 2389.0

Jackfruit 6488.0 51.6 1289.6 1740.6 565.0 246.3 642.0 1953.0

Breadfruit 6152.8 19.9 609.0 571.4 217.1 189.4 422.0 4124.0

Grapes 95.1 0.8 11.1 36.2 47.0

Key lime 6385.1 34.7 722.7 1212.6 289.1 140.3 595.6 3390.0

Avocado 2921.1 30.3 524.5 884.0 305.8 113.7 421.8 641.0

Salak 276.1 1.4 23.9 22.8 14.0 25.0 189.0

Rambutan 738.4 7.7 141.6 289.3 149.8 70.0 80.0

Mangoteens 31.6 0.7 14.0 17.0

Sugar apple 1096.8 7.7 171.8 445.7 54.6 30.0 189.0 198.0

Blackthorm 313.7 2.1 18.5 62.0 26.5 26.3 178.4

148 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Passion fruit 951.2 4.9 61.2 176.3 222.2 88.0 200.8 198.0

Vanilla 542.0 7.0 127.2 300.3 77.5 30.0

Areca nut 9471.0 45.5 1381.2 1854.8 430.5 265.0 821.0 4673.0

Pepper 212.2 2.5 48.8 112.0 38.9 10.0

Clove 171.0 2.5 49.1 73.5 26.0 20.0

Bitter bean 263.6 2.6 60.3 140.7 5.0 55.0

Para rubber tree 64.4 2.8 7.7 34.0 20.0

True cinnamon tree 134.4 2.1 23.5 36.0 22.9 50.0

Sandalwood 3249.0 11.4 302.2 578.5 104.4 119.5 414.0 1719.0

Swietenia mahagoni 4151.8 27.6 891.8 1180.5 162.4 119.5 890.0 880.0

Teak 21290.5 79.7 3498.9 5306.9 1265.6 1161.0 3195.0 6783.4

Sheoaks 8208.9 38.7 1188.5 1686.4 654.3 828.8 1609.7 2202.5

Acacia 272.2 4.1 132.0 92.1 44.0

Other trees/plants Permanent

4217.1 43.0 857.8 1313.4 401.7 164.1 700.1 737.0

Rice 38620.3 84.5 4511.9 7662.2 1242.7 1208.6 1831.0 7935.3 14144.2

Corn 91610.6 284.8 14690.7 16023.5 4700.0 4614.1 4924.8 13732.7 32640.0

Cassava 37911.9 182.4 8190.0 8418.0 1448.8 1544.7 2908.1 6307.0 8913.0

Sweet potatoes 14353.1 85.8 2850.8 2921.5 786.8 720.4 1244.4 4630.5 1113.0

Potatoes 710.8 5.1 112.3 239.5 19.0 23.8 95.7 215.4

Banana 27290.6 153.5 4479.9 5332.4 1212.8 1050.2 2391.8 10140.0 2530.0

Mostard 6983.0 36.0 965.3 1059.3 327.7 231.3 812.3 3251.0 300.0

Waterleaf 2465.0 13.5 244.2 350.1 82.5 20.8 295.0 1459.0

Cabbage 767.9 6.4 160.9 263.2 41.2 16.2 130.0 50.0 100.0

149 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Broccoli 38.4 0.4 11.6 16.5 10.0

Couve 347.1 3.5 82.7 89.0 13.0 159.0

Lettuce 1637.6 8.9 263.2 356.2 110.4 87.9 82.1 729.0

Watercress 317.1 2.6 42.6 84.1 9.0 13.8 70.0 95.0

Aubergines 2763.8 20.3 483.9 678.0 158.4 99.3 138.0 1186.0

Papaya 12366.1 77.0 1995.4 2457.5 592.8 452.9 923.3 5645.3 222.0

Tomato 4650.0 23.7 728.7 1005.6 199.3 201.5 397.9 1870.3 223.0

Chili 7194.0 37.9 978.9 1447.9 373.6 188.6 825.6 3141.5 200.0

Garlic 4772.2 6.9 173.3 219.7 198.7 68.6 403.4 3701.5

Shallots 6730.2 10.9 253.9 236.4 188.4 66.2 623.9 5350.5

Onions 400.7 3.0 70.7 54.0 24.0 249.0

Cucumbers 2166.3 23.3 643.6 826.6 198.0 88.9 147.0 88.8 150.0

Pumpkin 5448.1 52.8 1821.4 2043.0 391.1 349.2 370.5 300.3 120.0

Calabash 736.4 6.4 106.1 205.7 263.0 71.2 84.1

Zucchini 18.6 0.3 6.9 7.4 4.0

Watermelon 602.6 7.8 170.4 190.9 43.0 61.2 40.5 88.8

Pineapple 2078.5 18.0 487.1 749.8 95.5 93.0 160.0 475.0

Tobacco 1344.4 6.9 209.7 420.8 191.8 108.7 64.0 342.5

Tofu 1333.4 4.6 118.6 305.3 54.0 43.8 120.0 687.0

Cowpea 1071.8 5.5 139.3 296.0 262.0 140.8 228.3

Soybeans 477.5 3.7 136.0 140.8 105.8 16.2 25.0 50.0

Peanut 5286.4 19.3 1031.2 863.4 245.3 271.0 400.0 551.3 1905.0

Kidney bean 6196.3 12.8 850.6 1125.8 774.8 1456.0 301.2 175.0 1500.0

Black Turtle bean 2955.4 27.6 1053.4 782.2 102.0 219.4 219.0 551.8

Yardlong bean 787.5 5.8 139.7 230.9 111.2 94.3 130.6 75.0

150 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Beans 302.2 5.7 124.8 133.4 13.0 25.2

Taro 10230.5 70.8 2068.3 2421.8 627.5 392.4 768.3 3881.5

Kontas 6356.4 44.9 1203.2 1584.8 484.4 305.9 572.0 2061.1 100.0

Singumas 957.8 6.2 122.3 439.3 61.0 35.0 45.0 249.0

Ginger 1926.4 16.4 355.7 692.8 84.0 36.0 90.0 651.5

Turmeric 2306.9 20.6 413.6 796.9 136.7 38.0 170.6 730.5

Galangal 949.1 9.7 155.5 261.6 139.7 51.0 20.0 311.5

Coriander 23.7 0.2 9.5 10.0 4.0

Other trees/Plants Temporary

3060.8 22.7 598.9 858.4 223.5 326.4 406.0 525.0 100.0

Total 509226.4 2466.0 85425.9 113280.9 29181.3 24659.9 43979.4 145972.9 64260.2

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Table A.15: Total area (in hectares) used for crops/plants/trees during last 12 months by crop method

of planting and type of planting, Municipality : TLAC 2019

Municipality Total

cultivated area (Ha.)

Total area (in Ha.) used for crops//plants/trees during last 12 months by method and type of cultivation

Method of Planting Type of Planting

Compact Line Scatter Monoculture Mixed

cropping Scattered

(1) (2) (3) (4) (5) (6) (7) (8)

Aileu 19258.5 7851.5 1460.3 9946.7 4882.2 13890.6 485.7

Ainaro 17843.1 1711.2 1556.8 14575.1 1074.8 6764.8 10003.5

Baucau 127855.3 51197.9 5785.8 70871.6 10821.3 60459.1 56574.8

Bobonaro 64014.9 16466.5 3215.4 44333.0 17872.2 13835.8 32306.9

Covalima 20585.0 5333.9 2798.5 12452.6 5173.4 8277.9 7133.7

Dili 23890.7 218.8 1534.2 22137.7 710.5 1981.8 21198.4

Ermera 56651.8 16286.4 2760.0 37605.4 13706.4 23081.5 19864.0

Lautem 28844.4 6623.3 2790.6 19430.5 2535.0 24004.4 2305.0

Liquica 21872.9 21873.9 21874.9 21875.9 21876.9 21877.9 21878.9

Manatuto 6010.6 6011.6 6012.6 6013.6 6014.6 6015.6 6016.6

Manufahi 39887.6 39888.6 39889.6 39890.6 39891.6 39892.6 39893.6

Oe-cusse 48163.0 48164.0 48165.0 48166.0 48167.0 48168.0 48169.0

Viqueque 34348.6 34349.6 34350.6 34351.6 34352.6 34353.6 34354.6

Timor Leste 509226.4 135753.1 35580.2 337893.1 73662.8 235210.2 200353.4

152 | P a g e

Table A.16: Number of household agricultural holdings reporting cultivation by type of tillage

practice used and source of power used for tillage on the holding in the last 12 months, by



Type of tillage practice used on the holding

Source of power used for tillage on the holding

Conventional tillage

Conservation tillage

Zero/ No

tillage Animal power

Machine power

Manual power

(1) (2) (3) (4) (5) (6) (7) (8)

Aileu Aileu Vila 1108 2033 55 17 626 2498

Laulara 28 105 940 15 118

Lequidoe 1017 138 33 36 57 1062

Remexio 1197 468 66 5 2 1658

Ainaro Ainaro Vila 655 454 711 2 350 757

Hato-Udo 481 204 805 3 245 437

Hato-Builico 1159 222 26 11 23 1347

Maubisse 842 1412 39 5 20 2229

Baucau Baguia 637 1108 39 19 11 1715

Baucau 2341 524 2613 114 975 1776

Laga 863 428 1308 152 225 914

Quelicai 1287 1015 872 156 72 2074

Vemasse 557 308 426 96 650 119

Venilale 1676 913 248 190 1624 775

Bobonaro Atabae 499 248 897 9 614 124

Balibo 264 128 2051 2 299 91

Bobonaro 999 978 1533 13 89 1875

Cailaco 505 420 831 18 740 167

153 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8)

Lolotoe 13 176 1226 3 4 182

Maliana 847 635 1105 29 1318 135


Fatumean 58 12 508 17 16 37

Fohorem 20 4 724 2 22

Maucatar 274 27 967 1 284 16

Suai 1461 265 932 2 1604 120

Tilomar 120 113 1039 191 42

Zumalai 691 544 817 2 1013 220

Dili Atauro 142 41 1355 19 2 162

Cristo Rei 493 494 737 8 218 761

Dom Aleixo 160 67 229 19 208

Metinaro 23 14 324 14 23

Nain Feto 5 19 132 2 22

Vera Cruz 55 25 268 1 3 76

Ermera Atsabe 1779 244 374 105 20 1898

Ermera 2701 685 497 35 302 3049

Hatulia 1351 589 3090 141 388 1411

Letefoho 2640 470 221 135 79 2896

Railaco 168 227 1012 14 59 322

Lautem Iliomar 252 163 650 21 156 238

Lautém 350 141 1690 7 172 312

Lospalos 977 334 2279 3 1234 74

Luro 485 239 441 204 109 411

Tutuala 80 3 304 1 75 7


Liquiçá 307 170 1953 8 4 465

Maubara 207 131 2679 7 309 22

154 | P a g e

Table A.16contd…..

(1) (2) (3) (4) (5) (6) (7) (8)


Lacló 756 26 133 66 47 669

Laclubar 594 9 867 9 54 540

Laleia 190 190 139 36 272 72

Manatuto 421 151 117 100 254 218

Soibada 3 14 394 1 16

Manufahi Alas 178 48 718 175 51

Fatuberlio 133 86 823 2 181 36

Same 621 369 2297 126 484 380

Turiscai 579 235 59 14 1 799

Oe-Cusse Nitibe 418 132 2065 2 402 146

Oesilo 491 205 1641 15 456 225

Pante Macassar

1393 1185 4005 27 1842 709

Passabe 289 236 1163 1 4 520


Ossu 796 288 1454 80 65 939

Uato-Lari 1273 358 1246 35 988 608

Uato-Carbau 877 241 254 47 632 439

Viqueque 814 569 1819 23 851 509

Timor Leste 42452 21429 63172 2250 21334 40297

155 | P a g e

Table A.17: Number of household agricultural holdings reporting irrigation by main source of irrigation water, main method of irrigation during the last 12 months, by



No. of household holdings reporting irrigation

Main source of irrigation water Main method of irrigation

Surface water

Underground water

Mixed surface

and underground water

Muni-cipal/

Govern-ment water supply

Other Natural

flow irrigation

Channel irrigation

Irrigation by pump

Manu-ally by using hose/

bucket etc

Sprinkler irrigation

Drip irrigation

Other

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Aileu Aileu Vila 1556 881 218 434 12 11 889 432 56 163 3 13

Laulara 637 536 28 68 5 419 129 1 62 6 20

Lequidoe 299 282 10 4 1 2 164 17 2 74 1 2 39

Remexio 986 848 101 22 15 735 131 4 107 1 4 4

Ainaro Ainaro Vila 324 218 18 66 22 249 33 3 32 1 6

Hato-Udo 138 53 8 45 29 3 43 63 6 22 2 2

Hato-Builico 278 137 20 119 2 58 16 202 1 1

Maubisse 807 611 126 53 2 15 307 38 414 4 44

Baucau Baguia 65 47 12 5 1 25 37 1 1 1

Baucau 2219 1762 113 55 8 281 1733 116 14 171 1 4 180

Laga 402 338 48 11 3 2 321 34 17 21 9

Quelicai 415 166 45 192 5 7 190 75 2 128 8 6 6

Vemasse 478 366 2 97 5 8 293 132 27 16 1 1 8

Venilale 1061 656 120 135 3 147 932 64 1 3 3 1 57

Bobo-naro Atabae 302 160 74 60 2 6 145 149 3 5

Balibo 290 166 45 38 41 170 11 15 55 4 35

Bobonaro 299 167 8 121 2 1 200 97 1 1

Cailaco 414 407 5 1 1 190 154 1 69

156 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Lolotoe 13 10 3 5 8

Maliana 1004 949 22 27 1 5 206 752 1 1 29 15

Cova-lima

Fatululic 24 17 3 4 10 6 5 3

Fatumean 85 76 7 2 67 4 14

Fohorem 19 15 4 17 1 1

Maucatar 10 8 2 5 4 1

Suai 65 35 8 21 1 42 17 1 5

Tilomar 36 25 10 1 20 14 1 1

Zumalai 642 553 2 6 79 2 385 254 2 1

Dili Atauro 17 11 3 1 1 1 2 4 10 1

Cristo Rei 546 230 239 67 10 108 56 227 151 4

Dom Aleixo 111 22 44 26 16 3 18 4 11 72 1 5

Metinaro 113 9 103 1 11 4 98

Nain Feto 7 4 1 1 1 1 4 1 1

Vera Cruz 50 21 25 4 17 1 2 28 1 1

Ermera Atsabe 345 315 25 2 2 1 175 109 2 51 6 2

Ermera 1017 820 102 15 76 4 348 87 24 524 4 5 25

Hatulia 834 663 93 19 50 9 287 413 2 55 42 3 32

Letefoho 808 459 95 72 175 7 320 33 7 433 3 4 8

Railaco 361 96 14 113 138 156 60 1 105 37 2

Lautem Iliomar 102 85 4 11 2 86 11 5

Lautém 209 90 46 11 11 51 115 22 24 1 47

Lospalos 593 126 41 415 6 5 352 28 76 134 1 2

Luro 407 203 134 70 301 61 43 2

Tutuala 3 2 1 3

157 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)


Liquiçá 259 229 13 2 7 8 96 89 12 60 2

Maubara 119 111 3 4 1 31 71 6 9 1 1

Manatuto Barique 313 62 233 8 10 167 49 12 83 1 1

Lacló 336 186 79 66 3 2 172 135 18 8 2 1

Laclubar 142 121 7 10 3 1 54 49 36 2 1

Laleia 226 71 155 62 161 2 1

Manatuto 394 280 20 84 2 8 160 205 7 19 2 1

Soibada 53 52 1 11 41 1

Manu-fahi

Alas 5 4 1 4 1

Fatuberlio 46 35 9 2 37 2 1 2 4

Same 185 78 3 5 95 4 105 52 27 1

Turiscai 6 5 1 2 4

Oe-Cusse

Nitibe 450 299 85 54 3 9 215 82 1 133 1 13 5

Oesilo 610 599 6 1 1 3 586 17 1 1 2 3

Pante Macassar

3046 2021 562 354 87 22 1453 1198 94 260 6 6 29

Passabe 479 150 4 325 440 25 12 2

Vique-que

Lacluta 114 96 4 9 2 3 81 14 2 15 1 1

Ossu 380 236 11 132 1 320 31 27 1 1

Uato-Lari 712 482 6 155 67 2 317 387 2 1 5

Uato-Carbau 801 463 22 313 2 1 240 550 2 7 2

Viqueque 557 363 19 164 7 4 412 57 16 69 1 2

Timor Leste

28965 19736 3221 4171 1136 701 15292 6896 869 5012 118 144 634

158 | P a g e

Table A.17p: Number of household agricultural holdings reporting irrigation by main payment term for irrigating water on

the holding in the last 12 months,by Municipality/ Sub-municipality: TLAC 2019


No. of Household holdings reporting irrigation

Main payment term for irrigation water

Own water Taken/supplied

by other Free of charge

Paid based on area of

land irrigated

Paid based on

volume of water taken Other

(1) (2) (3) (4) (5) (6) (7) (8)

Aileu Aileu Vila 1556 112 1414 10 18 2

Laulara 637 141 479 4 13

Lequidoe 299 25 270 3 1

Remexio 986 64 858 8 56

Ainaro Ainaro Vila 324 53 267 1 2 1

Hato-Udo 138 5 121 9 1 2

Hato-Builico 278 113 160 3 1 1

Maubisse 807 101 697 4 5

Baucau Baguia 65 10 55

Baucau 2219 128 2061 11 16 3

Laga 402 22 367 3 9 1

Quelicai 415 89 323 3

Vemasse 478 210 259 3 6

Venilale 1061 147 902 7 2 3


Balibo 290 99 188 1 1 1

Bobonaro 299 82 212 4 1

Cailaco 414 55 287 20 52

Lolotoe 13 5 7 1

Maliana 1004 59 939 2 4

159 | P a g e

Table A.17p contd………….

(1) (2) (3) (4) (5) (6) (7) (8)

Covalima Fatululic 24 2 22

Fatumean 85 4 81

Fohorem 19 15 4

Maucatar 10 2 6 2

Suai 65 15 48 2

Tilomar 36 5 31

Zumalai 642 56 422 109 54 1

Dili Atauro 17 4 3 7 2 1

Cristo Rei 546 89 437 18 2

Dom Aleixo 111 31 40 35 5

Metinaro 113 61 52

Nain Feto 7 2 3 2

Vera Cruz 50 22 27 1

Ermera Atsabe 345 21 323 1

Ermera 1017 402 556 47 6 6

Hatulia 834 197 614 9 4 10

Letefoho 808 220 563 15 4 6

Railaco 361 109 251 1

Lautem Iliomar 102 19 81 1 1

Lautém 209 39 159 9 1 1

Lospalos 593 17 565 8 3

Luro 407 11 396

Tutuala 3 1 2


Liquiçá 259 13 236 8 2

Maubara 119 11 105 2 1

160 | P a g e

Table A.17p contd………….

(1) (2) (3) (4) (5) (6) (7) (8)

Manatuto Barique 313 87 226

Lacló 336 14 293 29

Laclubar 142 24 114 3 1

Laleia 226 1 225

Manatuto 394 26 169 161 26 12

Soibada 53 1 52



Same 185 23 161 1

Turiscai 6 4 2

Oe-Cusse Nitibe 450 128 290 25 3 4

Oesilo 610 138 466 3 1 2

Pante Macassar 3046 479 2480 34 36 17

Passabe 479 70 406 3

Viqueque Lacluta 114 11 102 1

Ossu 380 68 309 2 1

Uato-Lari 712 5 702 2 2 1

Uato-Carbau 801 10 726 61 4

Viqueque 557 96 456 3 2

Timor Leste 28965 5062 22727 675 366 135

161 | P a g e

Table A.18: Number of household agricultural holdings reporting use of fertiliser by type of fertiliser, by crop: TLAC 2019

Timor Leste

Number of

Agricultural

Household

holdings used

any fertiliser

Inorganic/Mineral fertiliser Organic fertiliser Bio-fertilizer

Urea DAP NPK

Residues

buried to

the ground

soil

Compost Animal

manure

Green

manure Other

Nitrogen

fixing

P solubilizing

or mobilizing Plant growth Other

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Coconut 10 1 1 1 2 1 2 1

Coffee 52 10 1 1 7 15 8 1 5 1 1 3

Mango 5 1 1 1 1

Candlenut 2 1 1

Orange 288 10 1 1 190 69 7 1 1 3 4

Kakau 4 4

Pomelo 1 1

Sourop 3 1 2

Jackfruit 5 3 1

Grapes 3 2 1

Key lime 35 3 1 7 23 1

Avocado 11 4 1 1 5 1

Salak 4 1 3

Rambutan 65 1 1 4 35 21 3

Sugar apple 1 1

Blackthorm 1 1

Passion fruit 1 1

Vanilla 97 1 5 56 31 2 1 1 1

Areca nut 8 3 1 3

Pepper 23 1 19 3 1

162 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Clove 12 1 1 6 4

Bitter bean 12 1 1 10

True cinnamon tree 2 1 1

Sandalwood 13 4 9

Swietenia mahagoni 28 4 3 6 2 11 1

Teak 26 2 2 6 14 1

Sheoaks 6 1 2 3

Acacia 2 2

Rice 2274 1420 51 23 28 377 19 125 202 17 9 11 25

Corn 593 186 19 43 80 79 59 16 50 4 16

Cassava 62 13 2 4 12 12 7 1 10 1

Sweet potatoes 25 6 2 1 6 3 2 1 3 1

Potatoes 10 3 2 1 4 1

Banana 53 4 1 2 14 12 17 3 1

Mostard 990 268 28 2 77 232 451 20 14 4 16 2

Waterleaf 173 47 2 1 16 49 44 2 12 1 1 3

Cabbage 223 101 4 2 57 7 61 6 17 2 9 5 1

Broccoli 17 2 1 1 6 7

Couve 29 3 2 22 2 1

Lettuce 352 92 8 4 10 158 126 5 2 2 4 1

Watercress 9 3 1 3 1 1

Aubergines 143 48 1 3 7 25 52 2 1 2 2 1

Papaya 163 81 8 22 46 6 1 1

Tomato 346 72 17 7 17 50 208 6 2 1 9 1

Chili 273 42 4 14 34 131 2 4 1 45

Garlic 29 3 2 3 21

Shallots 420 35 7 1 24 72 274 6 1 1 2 3 1

Onions 151 21 3 31 33 62 3 4 1 2

163 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Cucumbers 18 4 1 5 7 2

Pumpkin 63 10 3 9 7 32 1 2

Calabash 116 3 13 94 6

Zucchini 9 3 1 4 1

Watermelon 19 3 1 2 2 13 1 1

Pineapple 16 5 1 4 6 1 1

Tobacco 34 7 26 1

Cowpea 78 15 1 27 5 29 5 1 1

Soybeans 7 3 1 2 1

Peanut 21 3 2 2 2 5 5 1

Kidney bean 37 4 5 9 6 7 2 2 1 1

Black Turtle bean 17 2 1 2 3 6 2 1

Yardlong bean 69 11 2 7 11 38 4 1

Beans 55 9 1 8 41 3

Taro 17 2 1 5 2 6 1

Kontas 59 1 54 1 2 1

Ginger 8 2 1 3 3 1

Turmeric 9 1 5 3

Galangal 4 1 1 1 1

Coriander 5 1 3 1

Other trees 136 39 2 15 16 20 38 1 1 2 1 6

Timor Leste 7852 2621 165 155 552 1633 2210 235 344 40 26 134 66

164 | P a g e

Table A.19: Number of household agricultural holdings reporting use of plant protection practices by type of plant protection practices, by type of crop: TLAC 2019

Timor Leste

Number of Agricultural Household holdings

used plant protection

For insects fertiliser For diseases For weeds For rodents

Chemical/Insecticides

Natural methods

None Chemicals

/ fungicides

Natural methods

None Chemicals/ Herbicides

Natural methods

None Chemicals/ Herbicides

Natural methods

None

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Coconut 54 5 21 28 4 15 35 4 19 31 2 12 40

Coffee 270 7 154 109 4 135 131 5 140 125 3 97 170

Mango 7 5 2 4 3 3 4 3 4

Candlenut 7 1 3 3 1 6 2 5 7

Orange 43 1 24 18 1 18 24 1 22 20 10 33

Guava 1 1 1 1 1

Kakau 3 3 1 2 1 2 1 2

Sourop 2 2 2 1 1 1 1

Jackfruit 2 1 1 2 1 1 2

Grapes 2 1 1 1 1 1 1 1 1

Key lime 13 1 9 3 1 8 4 9 4 1 3 9

Avocado 3 1 1 1 2 1 1 1 1 2 1

Rambutan 9 2 4 3 2 2 5 1 8 1 1 7

Mangoteens 1 1 1 1 1

Vanilla 48 1 43 4 1 40 7 42 6 34 14

Areca nut 10 4 6 4 6 7 3 3 7

Pepper 11 11 11 10 1 10 1

Clove 16 15 1 8 8 1 7 8 6 10

Bitter bean 1 1 1 1 1

165 | P a g e

Table A.19 contd…….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Para rubber tree 2 2 2 2 2

Sandalwood 5 3 2 1 4 4 1 1 4

Swietenia mahagoni

28 2 21 5 3 11 14 2 13 13 2 11 15

Teak 68 3 26 39 1 18 49 2 43 23 2 14 52

Sheoaks 15 9 6 9 6 8 7 3 12

Acacia 2 2 2 1 1 1 1

Rice 1725 1338 261 126 1192 218 315 767 363 595 337 163 1225

Corn 1845 241 772 832 160 605 1080 340 940 565 102 371 1372

Cassava 680 17 352 311 14 303 363 40 549 91 19 228 433

Sweet potatoes 164 5 85 74 4 83 77 10 139 15 7 25 132

Potatoes 5 1 1 3 1 4 3 2 1 4

Banana 300 5 160 135 3 106 191 4 220 76 4 57 239

Mostard 464 201 215 48 92 172 200 39 166 259 31 86 347

Waterleaf 70 52 15 3 29 32 9 12 16 42 4 11 55

Cabbage 59 38 16 5 31 18 10 22 13 24 8 13 38

Broccoli 8 4 4 2 3 3 1 2 5 1 1 6

Couve 10 3 6 1 2 5 3 2 4 4 1 4 5

Lettuce 210 28 179 3 12 160 38 3 168 39 1 31 178

Watercress 7 1 4 2 1 3 3 5 2 1 6

Aubergines 56 27 20 9 22 15 19 10 23 23 7 12 37

Papaya 57 6 36 15 5 30 22 5 39 13 4 19 34

Tomato 141 62 53 26 41 57 43 32 54 55 22 29 90

Chili 76 29 28 19 20 26 30 18 36 22 9 24 43

Garlic 5 1 2 2 1 4 2 3 1 4

Shallots 84 25 33 26 20 30 34 9 57 18 3 22 59

166 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Onions 26 5 20 1 19 7 19 7 16 10

Cucumbers 8 1 4 3 2 3 3 5 3 1 4 3

Pumpkin 152 5 52 95 3 45 104 4 128 20 12 25 115

Calabash 14 1 13 1 13 14 1 13

Zucchini 4 2 2 2 2 2 2 2 2

Watermelon 16 9 5 2 8 5 3 4 5 7 2 1 13

Pineapple 43 1 32 10 1 20 22 2 29 12 9 34

Tobacco 26 1 17 8 1 16 9 2 20 4 2 2 22

Tofu 4 4 1 3 1 3 4

Cowpea 57 34 13 10 34 12 11 7 23 27 4 8 45

Soybeans 8 4 3 1 3 2 3 4 4 1 1 6

Peanut 124 5 41 78 4 25 95 9 56 59 11 28 85

Kidney bean

207 3 53 151 3 44 160 17 168 22 3 39 165

Black Turtle bean

194 2 47 145 1 33 160 9 148 37 4 26 164

Yardlong bean

46 13 23 10 12 17 17 6 28 12 5 15 26

Beans 50 2 6 42 5 45 1 44 5 2 48

Taro 204 1 108 95 94 110 2 170 32 45 159

Kontas 349 3 185 161 140 209 281 68 1 133 215

Singumas 5 3 2 3 2 4 1 3 2

Ginger 45 24 21 15 30 2 26 17 11 34

Turmeric 114 1 64 49 1 21 92 33 81 16 98

Galangal 17 1 10 6 9 8 1 12 4 10 7

Other trees 236 16 108 112 11 56 169 5 148 83 16 46 174

Timor

Leste

8538 2218 3426 2894 1756 2745 4037 1405 4506 2627 635 1758 6145

167 | P a g e

Table A.20: Number of household agricultural holdings reporting use of seed/planting material and their sources by crop: TLAC 2019

Timor Leste

Number of Household


used seed/ planting material

Seed/planting material fertiliser Source

Certified

seed/planting material of

modern variety

Uncertified

seed/ planting material of

modern variety

Uncertified seed/

planting material of farmer`s

variety

Other Self

Production Local

Market Govern-

ment NGO

Exchange with others

Other

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Coconut 48 3 10 25 10 40 7 1

Coffee 231 12 49 141 29 192 13 10 7 3 6

Mango 13 8 4 1 9 2 1 1

Candlenut 12 4 8 9 1 2

Orange 16 1 3 11 1 15 1

Guava 1 1 1

Cashew 2 1 1 1 1

Kakau 3 1 2 1 2

Pomelo 2 1 1 2

Sourop 4 2 1 1 3 1

Jackfruit 1 1 1

Grapes 2 1 1 1 1

Key lime 4 2 1 1 4

Avocado 2 2 2

Rambutan 9 3 4 2 5 1 3

Vanilla 41 3 10 27 1 26 3 9 2 1

Areca nut 7 2 1 4 4 2 1

Pepper 4 1 2 1 1 3

Clove 25 1 21 3 23 1 1

168 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

True cinnamon tree

1 1 1

Sandalwood 4 2 2 4

Swietenia mahagoni

26 6 8 8 4 10 1 14 1

Teak 85 13 41 30 1 66 2 4 9 4

Sheoaks 15 3 8 3 1 11 1 1 2

Acacia 3 3 3

Rice 2942 319 1027 1384 212 2765 45 42 10 38 42

Corn 12077 725 3747 6776 829 11331 439 94 27 63 123

Cassava 1865 23 476 1192 174 1775 45 2 6 17 20

Sweet potatoes 275 4 73 172 26 240 20 1 1 2 11

Potatoes 30 7 21 2 27 2 1

Banana 706 5 247 372 82 660 11 12 23

Mostard 653 91 193 343 26 405 197 4 26 13 8

Waterleaf 83 14 28 27 14 29 49 3 1 1

Cabbage 88 22 25 32 9 18 67 1 2

Broccoli 11 4 2 5 5 5 1

Couve 10 2 7 1 7 3

Lettuce 245 14 164 63 4 206 34 1 1 1 2

Watercress 8 2 1 4 1 6 1 1

Aubergines 61 16 12 28 5 34 23 2 1 1

Papaya 321 12 90 189 30 305 9 1 2 4

Tomato 188 27 55 75 31 113 64 2 5 1 3

Chili 122 8 30 76 8 91 27 1 3

Garlic 27 1 11 15 20 6 1

Shallots 212 4 68 126 14 171 36 2 2 1

169 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Onions 42 5 10 24 3 30 9 1 1 1

Cucumbers 12 2 2 6 2 7 4 1

Pumpkin 543 11 109 370 53 515 19 5 4

Calabash 17 1 10 6 12 3 2

Zucchini 3 1 1 1 2 1

Watermelon 53 6 11 17 19 38 10 1 4

Pineapple 63 2 28 31 2 59 1 1 2

Tobacco 81 1 19 60 1 79 2

Tofu 9 8 1 9

Cowpea 82 14 14 53 1 61 19 1 1

Soybeans 44 5 11 24 4 32 5 3 1 2 1

Peanut 785 26 205 471 83 734 32 6 5 2 6

Kidney bean 1403 10 439 904 50 1239 142 2 3 16 1

Black Turtle bean

1373 27 320 829 197 1260 94 6 9 4

Yardlong bean 301 15 26 227 33 270 27 1 1 1 1

Beans 205 1 56 142 6 175 29 1

Taro 677 5 239 383 50 644 18 2 13

Kontas 816 5 283 478 50 802 4 2 8

Singumas 57 18 37 2 57

Ginger 103 2 25 57 19 98 1 1 3

Turmeric 271 100 153 18 264 2 2 3

Galangal 161 4 56 77 24 151 8 1 1

Coriander 7 2 3 2 6 1

Other trees 705 52 175 441 37 576 82 4 7 9 27

Timor Leste 28298 1540 8584 15990 2184 25757 1633 196 159 219 334

170 | P a g e

Table A.21: Number of household agricultural holdings that received/accessed agricultural information in the last 12 months, by source of

agricultural information, by Municipality/ Sub-municipality: TLAC 2019


Number of Household

Agricultural Holdings received/ accessed

agricultural information

Source of Agricultural Information

Govt. Extension Services

Radio Television Journal/

Newspapers Internet

Other farmers

NGOs Membership associations

Other Sources

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Aileu Aileu

Vila

890 381 485 325 46 122 386 637 141 83

Laulara 274 141 108 118 14 12 75 221 41 39

Lequidoe 251 91 78 112 10 23 124 164 111 95

Remexio 443 176 301 213 30 59 159 222 94 77

Ainaro Ainaro

Vila

651 349 516 518 183 77 296 179 181 199

Hato-Udo 139 89 38 36 2 8 100 67 70 49

Hato-Builico

56 13 47 4 37 9 7 6 3 1

Maubisse 503 234 462 151 100 43 157 44 195 29

Baucau Baguia 119 37 55 100 18 41 59 52 35 22

Baucau 670 297 418 505 203 332 490 206 163 142

Laga 218 47 153 159 11 59 47 54 31 22

Quelicai 304 141 47 41 5 13 57 249 36 28

Vemasse 67 23 21 54 11 17 32 21 13 6

Venilale 178 115 45 63 14 26 63 113 42 34

Bobonaro Atabae 405 197 206 238 118 83 94 53 70 6

Balibo 272 189 119 50 17 15 115 225 137 46

Bobonaro 224 107 80 147 14 24 75 81 37 43

Cailaco 271 159 149 119 42 48 131 171 112 108

Lolotoe 104 29 81 89 70 64 80 67 17 6

Maliana 379 171 299 224 64 75 140 117 98 38

171 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Covalima Fatululic 27 11 11 19 1 1 11 16 3 2

Fatumean 8 6 4 3 2 1 5 2 3 2

Fohorem 137 135 1 1 89 31 9 5

Maucatar 57 32 27 46 3 18 19 4 4

Suai 288 95 79 130 28 41 208 107 29 8

Tilomar 240 216 62 94 78 26 152 133 151 127

Zumalai 74 41 4 24 3 3 52 17 21 16

Dili Atauro 84 41 4 13 4 7 16 52 10 7

Cristo Rei 62 28 9 14 2 4 36 36 18 9

Dom

Aleixo

16 3 10 11 7 10 6 2 3

Metinaro 3 3 2 3 2 2 3 1 3 3

Nain Feto 10 5 8 2 2 2 3 1

Vera Cruz

11 5 7 9 1 4 2 1

Ermera Atsabe 85 60 37 15 1 37 31 45 33 15

Ermera 1484 680 1304 970 847 445 512 503 406 201

Hatulia 502 310 265 177 115 94 324 74 198 140

Letefoho 503 213 427 147 152 119 293 223 209 170

Railaco 573 206 509 407 130 202 250 191 169 174

Lautem Iliomar 80 26 4 49 9 16 14 22 7 9

Lautém 226 139 47 118 26 49 138 110 104 60

Lospalos 56 36 2 12 3 7 32 27 29 24

Luro 108 91 8 9 5 5 75 70 38 41

Tutuala 56 44 1 33 5 11 15 7 8 7

Liquica Bazartete 494 332 346 386 142 188 243 190 161 153

Liquiçá 910 686 690 368 167 265 348 564 412 146

Maubara 148 82 98 91 10 26 61 40 25 9

172 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Manatuto Barique 139 101 4 105 2 30 85 11 10 16

Lacló 132 122 119 66 46 46 47 37 43 40

Laclubar 27 14 1 10 1 2 15 18 13 3

Laleia 27 26 7 11 1 11 24 21 4

Manatuto 85 42 8 66 20 10 30 18 13 19

Soibada 80 47 18 39 21 12 25 6 13 20

Manufahi Alas 7 6 3 4 2 2 3 5 3

Fatuberlio 30 22 1 14 1 5 6 11 6 3

Same 154 119 68 59 36 37 60 45 46 37

Turiscai 3 2 1 1 3 2 3 1

Oe-Cusse Nitibe 355 182 50 60 35 12 151 310 203 104

Oesilo 252 140 121 133 17 10 141 230 61 90

Pante Macassar

690 415 365 380 253 280 356 354 341 244

Passabe 78 66 2 6 1 1 38 69 49 35

Viqueque Lacluta 166 82 24 110 13 61 100 61 54 92

Ossu 580 326 463 333 142 162 311 333 196 251

Uato-Lari 55 39 6 39 4 12 24 12 8 16

Uato-Carbau

304 177 37 195 16 24 128 148 31 19

Viqueque 609 347 186 300 41 76 380 263 215 229

Timor Leste

16433 8787 9149 8353 3402 3503 7537 7392 5006 3632

173 | P a g e

Table A.22: number of agricultural households owning livestock as on the date of enumeration by type of livestock, by Municipality/ Sub-municipality: TLAC 2019


Num

ber

of

Agri

cult

ura

l

House

hold

s O

wnin

g

any L

ives

tock


Buffalo (Karau Timur)

Cow (Karau Vaka)

Dairy Cow(Karau Vaka Susuben)

Horse (Kuda)

Goat (Bibi

Timur) Sheep Dairy Sheep

Pig (Fahi) Rabbit

Chicken (Manu Lokal)

Broiler (Manu Rasa Naan)

Layer (Manu Rasa

Tolun)

Duck (Manu Rade)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Aileu Aileu Vila 3158 333 1613 680 803 96 2741 2473 2 55

Laulara 1020 52 329 19 362 5 1 842 886 4

Lequidoe 1033 169 359 194 462 33 816 775 24

Remexio 1720 216 793 258 878 8 1 1564 1 1427 2 12

Ainaro Ainaro Vila

1888 393 970 334 256 3 1567 1535 1 24

Hato-Udo 1677 274 1112 241 344 11 1575 1563 1 30

Hato-Builico

1315 324 173 601 209 7 1082 1082 6

Maubisse 2172 318 661 2 1139 676 46 1766 1717 7

Baucau Baguia 1802 521 655 1 311 456 7 1604 1 1691 1

Baucau 5835 652 136 1 803 1885 720 1 5314 1 4985 7 1 36

Laga 2729 696 371 394 1368 145 2377 2475 14

Quelicai 3173 688 343 3 913 1363 360 2813 2974 5

Vemasse 1516 537 55 343 497 242 1258 1209 1 8

Venilale 2841 350 964 1078 1099 308 2614 2698 4 10

Bobonaro Atabae 1911 176 1416 12 32 1126 9 1786 1670 4 9

Balibo 2554 38 1731 1 7 497 14 2323 2279 2 12

Bobonaro 3384 188 2062 5 331 846 49 1 2804 2 2478 1 2 10

Cailaco 1799 364 1370 37 17 1181 12 1656 1 1710 82

174 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Lolotoe 1318 16 862 121 83 2 1120 907 3

Maliana 2761 196 1448 3 12 694 14 1 2392 2034 1 49

Covalima Fatululic 387 4 339 1 18 17 358 369 4

Fatumean 587 22 484 46 86 3 525 498 1

Fohorem 757 9 616 25 42 713 644 3

Maucatar 1515 5 976 21 166 2 1340 1028 1 2

Suai 3292 50 2177 2 28 246 26 2945 1 2245 1 1 6

Tilomar 1453 28 1025 8 172 2 1330 1215 1 3

Zumalai 1982 341 1140 67 370 11 1823 1358 2

Dili Atauro 1581 51 47 24 801 2 1387 1 1353 61

Cristo Rei 2439 97 389 20 614 15 1984 4 1680 5 24

Dom Aleixo

1559 21 66 1 3 195 1 1264 789 6 42

Metinaro 398 42 264 5 232 4 271 291 1 4

Nain Feto 457 4 7 51 3 384 300 1 12

Vera Cruz 712 10 18 1 170 3 549 1 384 2 13

Ermera Atsabe 2306 140 1190 7 162 486 27 2025 2018 5

Ermera 3708 69 1869 1 57 970 65 2 2784 2 3003 1 1 27

Hatulia 4944 513 2692 4 258 1826 57 3936 4413 5 2 91

Letefoho 2939 178 1095 3 336 539 33 1 2454 51 2368 1 12

Railaco 1332 28 623 1 47 359 6 944 1 1037 4 1 23

Lautem Iliomar 1221 90 740 46 147 8 1113 954 4

Lautém 2354 524 860 14 120 759 159 2 1930 1884 9

Lospalos 3932 806 1956 2 619 199 9 1 3482 3100 1 9

Luro 1189 467 584 3 329 254 19 1094 993 1

Tutuala 446 83 282 21 34 1 412 295

175 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)


Liquiçá 2699 50 1099 29 1156 17 2262 2248 4 2 32

Maubara 3326 136 1754 60 2227 16 2908 2 2732 1 2 83

Manatuto Barique 917 108 573 1 47 81 2 704 697 1 9

Lacló 976 509 199 64 497 18 782 761 4

Laclubar 1381 403 190 1 635 510 4 1089 2 1161 1 4

Laleia 639 250 141 51 202 24 539 385 3

Manatuto 1031 291 168 34 315 55 809 581 1 6

Soibada 428 109 127 135 106 356 378 4

Manufahi Alas 981 369 542 156 114 1 739 909 6

Fatuberlio 1090 219 626 264 185 866 1 988 13

Same 3649 359 1440 456 540 12 2923 3184 9 3 82

Turiscai 859 253 303 2 501 327 13 668 1 737 3

Oe-Cusse Nitibe 2475 342 1617 62 97 1157 27 1 2081 1 2137 3 7

Oesilo 2348 590 1292 6 12 708 14 2 2150 1968 6

Pante Macassar

6357 1197 2554 29 31 2307 45 12 5122 9 5166 2 16

Passabe 1665 13 1278 4 41 412 7 1 1493 1551 4


Ossu 2883 944 1213 1 790 721 88 2402 1 2429 12

Uato-Lari 3240 688 1204 348 891 14 3066 1 2535 1 15

Uato-Carbau

1401 423 813 271 357 11 1298 4 1080 1

Viqueque 3776 1128 1988 1 403 778 40 3342 1 3069 1 1 14

Timor Leste

134158 19847 57637 211 14838 39351 2983 27 114598 93 109569 79 27 1114

176 | P a g e

Table A.23: Number of agricultural households owning livestock as on the date of enumeration by size class of large

livestock, by Municipality/ Sub-municipality: TLAC 2019


Large Head Livestock by size class Total

0-1 2-4 5-9 10-19 20-49 50-99 100+

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 639 1098 279 64 4 2084

Laulara 164 193 22 1 2 382

Lequidoe 221 254 67 29 1 572

Remexio 338 525 120 32 12 1 1028

Ainaro Ainaro Vila

299 580 284 123 54 6 3 1349

Hato-Udo 158 578 304 166 53 1 1 1261

Hato-Builico

317 379 80 30 4 1 811

Maubisse 614 847 163 31 1 1656

Baucau Baguia 191 420 284 170 75 11 3 1154

Baucau 291 576 212 172 55 9 1315

Laga 230 380 281 214 74 9 1188

Quelicai 395 698 268 134 23 3 2 1523

Vemasse 130 315 171 106 30 5 1 758

Venilale 324 800 418 126 31 3 1 1703

Bobonaro Atabae 305 652 349 160 51 7 2 1526

Balibo 519 845 438 200 33 3 2038

Bobonaro 679 1170 444 125 36 3 1 2458

Cailaco 303 666 355 150 54 8 3 1539

177 | P a g e

Large Head Table A.23 contd………….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) Lolotoe 258 435 193 89 30 1005

Maliana 446 771 355 146 42 5 1 1766

Covalima Fatululic 20 140 92 59 35 8 354

Fatumean 74 153 137 97 48 7 2 518

Fohorem 90 204 187 120 54 3 2 660

Maucatar 117 443 296 101 29 3 989

Suai 549 1060 546 197 64 5 3 2424

Tilomar 150 451 310 121 44 7 1083

Zumalai 361 601 359 164 46 2 1 1534

Dili Atauro 122 42 30 12 3 1 210

Cristo Rei 115 262 64 31 8 480

Dom Aleixo

23 55 12 3 1 94

Metinaro 60 165 57 18 6 1 307

Nain Feto 6 5 1 12

Vera Cruz 8 14 5 2 29

Ermera Atsabe 389 650 211 69 17 1336

Ermera 1066 1075 98 23 5 2267

Hatulia 1341 1640 327 102 55 6 3 3474

Letefoho 886 716 83 12 1 1698

Railaco 285 359 59 6 2 1 712

Lautem Iliomar 83 239 232 146 77 5 3 785

Lautém 175 466 326 205 116 19 5 1312

Lospalos 402 837 663 433 252 51 26 2664

Luro 88 278 226 159 71 10 3 835

Tutuala 12 126 91 55 27 9 2 322

178 | P a g e

Large Head Table A.23 contd………….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Liquiçá 682 608 72 16 1378

Maubara 486 949 296 104 28 3 1866


Lacló 105 269 170 89 33 9 675

Laclubar 249 406 181 58 7 65 966

Laleia 31 95 97 69 50 13 1 356

Manatuto 20 151 110 83 76 11 1 452

Soibada 53 106 60 35 8 3 265

Manufahi Alas 90 294 191 119 63 23 2 782

Fatuberlio 102 298 199 145 54 9 3 810

Same 510 925 379 133 44 2 1 1994

Turiscai 198 347 171 37 9 1 763

Oe-Cusse Nitibe 312 869 529 152 62 4 1928

Oesilo 567 1012 295 71 11 1 1957

Pante Macassar

1170 1864 642 193 47 11 8 3935

Passabe 394 727 234 36 4 1395

Viqueque Lacluta 76 323 223 165 85 28 6 906

Ossu 225 744 536 356 141 20 3 2025

Uato-Lari 261 559 495 374 194 25 5 1913

Uato-Carbau

86 320 323 230 95 8 2 1064

Viqueque 307 892 762 502 287 53 19 2822

Timor Leste

20420 35097 15820 7515 2971 440 197 82460

179 | P a g e

Table A.23: Number of agricultural households owning livestock as on the date of enumeration by size class of small livestock, by Municipality/ Sub-municipality: TLAC 2019


Small Head Livestock by size class

0-2 3-4 5-9 10-19 20-49 50-99 100+ Total

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila 1677 666 445 85 9 2882

Laulara 524 231 134 27 7 923

Lequidoe 497 216 191 38 6 1 949

Remexio 718 486 342 75 27 1648

Ainaro Ainaro Vila

747 432 340 96 21 1 1637

Hato-Udo 490 378 423 256 59 5 1611

Hato-Builico

815 214 94 14 1137

Maubisse 1334 424 223 15 1 1997

Baucau Baguia 761 530 293 101 12 1 1 1699

Baucau 1814 1442 1250 674 304 58 15 5557

Laga 679 598 733 410 160 17 5 2602

Quelicai 1227 816 694 253 53 2 2 3047

Vemasse 430 334 340 175 88 18 7 1392

Venilale 1147 744 616 174 30 6 2717

Bobonaro Atabae 412 432 636 312 57 4 2 1855

Balibo 736 602 706 325 67 2 2438

Bobonaro 1378 954 695 123 13 1 3164

Cailaco 319 388 640 326 93 6 2 1774

180 | P a g e

Small Head Table A.23 contd …….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Lolotoe 914 170 103 21 3 1211

Maliana 1085 772 575 133 20 1 1 2587


Fatumean 204 107 158 77 9 2 557

Fohorem 178 155 253 116 31 733

Maucatar 289 365 498 184 25 4 1365

Suai 799 911 961 308 57 3 3039

Tilomar 382 341 404 206 38 1371

Zumalai 444 477 640 300 53 2 1 1917

Dili Atauro 402 332 447 232 63 10 4 1490

Cristo Rei 702 698 558 170 40 4 2172

Dom Aleixo

211 591 427 83 13 2 1327

Metinaro 110 93 108 46 16 1 374

Nain Feto 67 188 113 26 2 396

Vera Cruz 71 281 174 51 3 580

Ermera Atsabe 1189 573 319 57 7 1 2 2148

Ermera 2100 775 412 67 10 3364

Hatulia 2261 1153 820 280 51 3 4568

Letefoho 1748 534 330 80 11 1 2704

Railaco 534 251 220 70 13 1 1 1090

Lautem Iliomar 291 336 340 149 19 1135

Lautém 540 561 571 317 126 32 9 2156

Lospalos 1218 899 1035 341 50 5 4 3552

Luro 508 317 218 60 14 1117

Tutuala 64 96 171 68 14 2 415

181 | P a g e

Small Head Table A.23 contd …….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Liquiçá 1041 708 585 158 27 3 2522

Maubara 711 866 1027 444 117 7 2 3174


Lacló 213 232 307 127 29 4 912

Laclubar 616 283 212 72 3 89 1275

Laleia 177 123 187 82 27 3 1 600

Manatuto 168 255 286 125 62 10 1 907

Soibada 144 79 86 33 24 1 367

Manufahi Alas 347 165 165 67 19 5 768

Fatuberlio 426 249 192 52 11 1 931

Same 1434 736 658 226 31 2 3 3090

Turiscai 382 224 132 27 9 774

Oe-Cusse Nitibe 613 544 738 295 49 2 1 2242

Oesilo 908 598 541 201 30 4 1 2283

Pante Macassar

2108 1461 1511 504 129 5 12 5730

Passabe 767 370 329 108 5 1 1580


Ossu 1073 772 551 165 38 1 1 2601

Uato-Lari 658 937 1001 436 121 8 3 3164

Uato-Carbau

463 360 302 169 27 3 1324

Viqueque 903 929 1059 488 116 4 1 3500

Timor Leste

47206 32203 29924 11194 2653 260 174 123614

182 | P a g e

Table A.23: Number of agricultural households owning livestock as on the date of enumeration by size class

of poultry by Municipality/ Sub-municipality: TLAC 2019


Poultry by size class Total

0-4 5-9 10-19 20-49 50-99 100+

(1) (2) (3) (4) (5) (6) (7) (8) (9)

Aileu Aileu Vila

1225 521 555 220 17 4 2542

Laulara 408 193 190 118 8 917

Lequidoe 479 195 114 40 3 831

Remexio 729 433 261 58 5 1486

Ainaro Ainaro Vila

597 320 556 161 19 5 1658

Hato-Udo 351 243 383 402 162 55 1596

Hato-Builico

646 217 214 63 6 1 1147

Maubisse 1229 357 220 39 4 3 1852

Baucau Baguia 470 243 684 283 45 5 1730

Baucau 1819 916 1491 795 107 25 5153

Laga 868 550 787 322 19 3 2549

Quelicai 943 466 1336 310 24 6 3085

Vemasse 500 233 338 133 34 6 1244

Venilale 660 550 1004 468 46 13 2741

Bobonaro Atabae 759 446 323 170 26 10 1734

Balibo 681 540 778 363 17 5 2384

Bobonaro 1275 496 789 103 5 2668

Cailaco 527 390 581 227 22 7 1754

Lolotoe 599 195 163 37 2 996

Maliana 958 433 591 192 20 4 2198

Covalima Fatululic 49 53 181 89 7 2 381

Fatumean 192 116 143 80 7 1 539

183 | P a g e

Poultry Table A.23 contd……..

(1) (2) (3) (4) (5) (6) (7) (8) (9)

Fohorem 225 131 210 130 9 2 707

Maucatar 375 176 301 198 25 9 1084

Suai 1048 400 714 334 37 16 2549

Tilomar 386 258 407 199 25 4 1279

Zumalai 686 222 535 209 25 2 1679

Dili Atauro 373 325 435 262 25 6 1426

Cristo Rei 696 351 519 166 7 6 1745

Dom Aleixo

260 136 288 121 12 7 824

Metinaro 164 83 40 30 6 2 325

Nain Feto 111 50 106 33 6 306

Vera Cruz

96 60 170 59 7 392

Ermera Atsabe 627 422 730 271 36 3 2089

Ermera 1436 601 930 236 19 1 3223

Hatulia 1645 802 1625 541 51 7 4671

Letefoho 1467 529 474 81 5 1 2557

Railaco 373 219 342 131 14 5 1084

Lautem Iliomar 323 240 270 128 20 4 985

Lautém 573 362 594 353 52 16 1950

Lospalos 1180 644 749 594 92 24 3283

Luro 386 198 276 139 11 4 1014

Tutuala 85 45 119 49 4 302


Liquiçá 820 459 719 313 47 6 2364

Maubara 1200 624 712 362 33 9 2940

184 | P a g e

Poultry Table A.23 contd……..

(1) (2) (3) (4) (5) (6) (7) (8) (9)


Lacló 358 198 180 56 2 1 795

Laclubar 467 275 260 147 14 73 1236

Laleia 198 84 83 30 3 1 399

Manatuto 279 120 138 54 6 1 598

Soibada 71 76 148 73 15 1 384

Manufahi Alas 157 211 249 234 56 11 918

Fatuberlio 300 290 271 132 28 4 1025

Same 1001 745 1035 431 68 11 3291

Turiscai 333 204 181 40 1 759

Oe-Cusse Nitibe 671 491 761 306 16 1 2246

Oesilo 792 424 605 255 30 6 2112

Pante Macassar

1872 1064 1794 629 50 19 5428

Passabe 409 288 694 206 4 1601


Ossu 834 514 766 321 30 2 2467

Uato-Lari 1324 463 656 287 27 3 2760

Uato-Carbau

684 217 218 130 18 2 1269

Viqueque 1244 669 782 471 76 27 3269

Timor Leste 42821 22481 33896 14098 1718 464 115478

185 | P a g e

Table A.24: Total number of livestock owned as on the date of enumeration by type of livestock, Municipality/ Sub-municipality: TLAC 2019


Number of Livestock owned by Large Head Livestock, Small Head Livestock and Poultry

Buffalo (Karau Timur)

Cow (Karau Vaka)

Dairy Cow

(Karau Vaka

Susuben)

Horse (Kuda)

Goat (Bibi

Timur) Sheep

Dairy Sheep

Pig (Fahi)

Rabbit Chicken (Manu Lokal)

Broiler (Manu Rasa Naan)

Layer (Manu Rasa

Tolun)

Duck (Manu Rade)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Aileu Aileu Vila

803 4296 1111 1951 266 0 6530 19304 100 270

Laulara 80 746 23 833 12 2 2057 7773 19

Lequidoe 405 1199 298 1348 79 2136 4408 108

Remexio 638 2179 382 2415 10 4 4173 2 9024 10 40

Ainaro Ainaro Vila

1749 4766 711 880 5 5568 14800 25 95

Hato-Udo 1198 5751 514 1426 28 0 8355 37274 25 264

Hato-Builico

816 503 985 423 15 2155 7345 16

Maubisse 896 1447 2 2228 1422 539 3294 9101 0 16

Baucau Baguia 3012 4656 10 861 1864 21 0 4705 2 20289 5

Baucau 4490 699 10 2179 13762 7758 4 17041 3 55418 240 1 195

Laga 4500 2746 911 9141 2379 7684 23893 65

Quelicai 3095 1629 20 1813 5539 2089 6747 0 29996 28

Vemasse 3530 258 0 1008 2796 3367 4714 12665 5 35

Venilale 1683 3956 0 2231 4277 1143 0 6522 31627 16 37

Bobonaro Atabae 755 8347 40 116 4556 90 7992 16614 90 47

Balibo 179 8460 2 18 2118 29 11605 24763 8 102

Bobonaro 621 7960 25 549 2530 130 3 8727 2 17040 1 12 39

Cailaco 1770 6670 225 41 4866 50 8447 2 18724 0 502

Lolotoe 73 4283 0 168 305 6 2381 0 5137 20

186 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Maliana 1151 6539 11 20 2373 35 4 7710 17692 2 268

Covalima Fatululic 10 3313 3 30 123 1544 5556 18

Fatumean 149 4280 100 479 6 2594 5519 2

Fohorem 62 4999 55 232 0 4253 7513 4

Maucatar 30 5335 0 48 757 4 7363 13348 18

Suai 773 10814 7 71 1205 101 14502 0 25583 3 13 32

Tilomar 163 6204 31 856 4 7072 13991 8 15

Zumalai 1744 5499 0 153 1610 78 9844 0 15357 0 0 6

Dili Atauro 294 265 69 6246 7 4299 3 17007 396

Cristo Rei 295 1388 0 28 2543 31 7614 3 14357 699 123

Dom Aleixo

105 241 2 4 892 2 5490 0 8642 1281 362

Metinaro 182 1180 0 9 1089 7 1116 2520 2 55

Nain Feto 6 25 131 5 1674 2852 10 68

Vera Cruz

32 57 5 594 8 2236 2 4381 52 61

Ermera Atsabe 384 3886 18 275 1924 100 5389 21694 0 10

Ermera 143 4085 2 90 2259 183 2 6626 5 24464 21 20 177

Hatulia 1956 8333 6 400 5066 111 0 12289 0 43938 7 92 387

Letefoho 365 2115 10 521 1359 61 2 6009 238 14090 4 54

Railaco 65 1550 4 63 981 10 3206 10887 12 86

Lautem Iliomar 705 6209 203 535 23 5540 10317 54

Lautém 3845 6968 133 343 6131 2502 17 8603 25161 0 125

Lospalos 9401 15181 6 3395 1219 27 1 17102 0 37683 20 41

Luro 3213 3743 8 741 1015 69 3314 9952 14

Tutuala 863 2420 158 161 1 2713 3341

Liquica Bazartete 1359 4200 50 5292 81 9777 5 34655 52 3 142

187 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Liquiçá 111 2446 38 3954 46 6473 24387 9 3 318

Maubara 624 6879 98 9450 60 0 10872 10 26041 2 2 938

Manatuto Barique 940 3937 2 118 463 6 0 3650 11082 42

Lacló 3044 1169 154 2444 149 3207 5753 10

Laclubar 10567 3904 2 4925 12731 12 36765 5 32330 2 21

Laleia 2347 1613 129 1402 441 2200 3106 5

Manatuto 3652 1327 68 2613 912 0 3384 4619 2 32

Soibada 681 512 330 557 1753 5128 10

Manufahi Alas 2330 5152 423 570 1 3113 14481 26

Fatuberlio 1617 3904 693 762 2787 3 10779 53

Same 1456 5829 939 1968 36 0 10937 0 33849 375 7 636

Turiscai 917 1014 1 1030 1136 43 1484 3 5041 6

Oe-Cusse Nitibe 1614 7833 188 223 4917 120 2 7808 6 22595 53 31

Oesilo 1922 4236 25 27 2848 50 3 7697 21423 39

Pante Macassar

5545 9941 58 611 11118 222 27 19234 47 53554 25 0 80

Passabe 79 4002 10 104 1493 22 2 4560 16731 15

Viqueque Lacluta 5875 3217 774 912 3473 8484 2 7

Ossu 6104 7790 7 2176 3041 263 0 7610 2 23820 53

Uato-Lari 6993 9635 1091 4800 33 15428 16 22080 7 41

Uato-Carbau

3202 5492 672 1529 37 5301 19 9420 1

Viqueque 10267 16489 20 1539 3679 193 16996 35639 2 20 81

Timor Leste

127475 285701 857 39171 179911 24118 73 45344

4

378 1146037 3079 284 6848

188 | P a g e

Table A.25: Number of agricultural households reporting use of any of the veterinary services by type of veterinary service and

source of service received: TLAC 2019

Timor Leste/ Source of service

received

Number of Agricultural Households

reporting

any use


Vac

cinat

ion

Art

ific

ial

Inse

min

atio

n

Cas

trat

ion

Tre

atm

ent

of

sick

nes

s

Vac

cinat

ion

Art

ific

ial

Inse

min

atio

n

Cas

trat

ion

Tre

atm

ent

of

sick

nes

s

Vac

cinat

ion

Art

ific

ial

Inse

min

atio

n

Cas

trat

ion

Tre

atm

ent

of

sick

nes

s

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14)

Government 8562 5130 19 15 832 6714 37 37 1545 3445 9 7 615

Private 2872 1165 48 83 678 1463 56 556 1195 409 23 34 405

NGO 638 251 1 2 62 382 3 6 104 281 5 64

Other 464 147 8 7 106 247 8 55 167 104 8 4 72

Timor Leste 7748 3033 34 49 751 4273 57 391 1462 1973 18 16 479

189 | P a g e

Table A.26: Number of agricultural households engaged in fishing activity during

last 12 months prior to the date of enumeration by degree of participation by



Number of agricultural households engaged in fishing activity by degree of participation

Total Few days

Few weeks

Few months

More or less regularly

(1) (2) (3) (4) (5) (6) (7)

Aileu Aileu Vila

2 1 3

Laulara 1 1 2

Lequidoe 1 1 2

Remexio 1 1

Ainaro Ainaro Vila

7 7

Hato-Udo 27 4 15 7 53

Hato-Builico

2 1 2 5

Maubisse 3 1 4

Baucau Baguia 3 1 4

Baucau 115 19 11 67 212

Laga 25 3 5 105 138

Quelicai 1 4 5 10

Vemasse 91 1 34 126

Venilale 5 6 7 2 20


Balibo 24 9 15 66 114

Bobonaro 6 4 10

Cailaco 2 2

Lolotoe 1 1 2

Maliana 3 1 4

190 | P a g e


(1) (2) (3) (4) (5) (6) (7)


Fatumean 2 2

Fohorem 1 1 1 3

Maucatar 2 4 2 8

Suai 40 9 7 111 167

Tilomar 26 5 3 19 53

Zumalai 24 3 12 4 43

Dili Atauro 197 116 58 349 720

Cristo Rei 84 14 12 96 206

Dom Aleixo

34 16 9 28 87

Metinaro 27 2 26 55

Nain Feto 16 2 1 7 26

Vera Cruz

3 1 4 1 9

Ermera Atsabe 3 1 6 10

Ermera 10 1 2 9 22

Hatulia 16 3 2 3 24

Letefoho 4 2 6

Railaco 2 1 3

Lautem Iliomar 9 3 1 13

Lautém 34 7 11 106 158

Lospalos 8 1 6 15

Luro 1 1 2

Tutuala 1 23 6 30


Liquiçá 14 11 2 104 131

Maubara 59 14 23 52 148

191 | P a g e


(1) (2) (3) (4) (5) (6) (7)


Lacló 45 15 7 47 114

Laclubar 1 1

Laleia 5 11 27 6 49

Manatuto 37 22 6 67 132



Same 22 3 5 21 51

Turiscai 5 1 1 7


Oesilo 9 1 10

Pante Macassar

206 43 83 80 412

Viqueque Lacluta 1 1

Ossu 1 1 2

Uato-Lari 4 1 5

Uato-Carbau

44 22 37 20 123

Viqueque 44 9 6 1 60

Timor Leste

1583 501 540 1784 4408

192 | P a g e

Table A.27: Number of agricultural households engaged in fishing activity during last 12 months prior to the date of

enumeration by type of vessel used for fishing by Municipality/ Sub-municipality: TLAC 2019


Number of agricultural households engaged in fishing activity

Total

Motorized vessel owned solely by household

Motorized vessel jointly owned by different households

Motorized vessel lent from others

Non-motorized vessel owned solely by household

Non-motorized vessel jointly owned by different households

Non-motorized vessel lent from others

No vessel used

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Aileu Aileu Vila

3 3

Laulara 2 2

Lequidoe 2 2

Remexio 1 1

Ainaro Ainaro Vila

5 2 7

Hato-Udo 9 20 1 2 21 53

Hato-Builico

5 5

Maubisse 1 1 1 1 4

Baucau Baguia 4 4

Baucau 67 12 8 55 9 4 57 212

Laga 90 13 7 12 3 8 5 138

Quelicai 10 10

Vemasse 19 2 26 36 5 23 15 126

Venilale 20 20

Bobonaro Atabae 180 37 5 3 1 4 230

Balibo 27 6 63 4 3 11 114

Bobonaro 4 1 5 10

193 | P a g e

Table A.27 contd………..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Cailaco 1 1 2

Lolotoe 2 2

Maliana 1 1 2 4


Fatumean 1 1 2

Fohorem 1 1 1 3

Maucatar 1 1 6 8

Suai 53 36 3 36 30 7 2 167

Tilomar 16 3 13 8 2 11 53

Zumalai 5 1 10 8 5 14 43

Dili Atauro 168 131 9 114 53 20 225 720

Cristo Rei 73 8 6 56 5 4 54 206

Dom Aleixo

35 3 5 13 4 1 26 87

Metinaro 15 2 28 1 1 8 55

Nain Feto 7 2 11 1 5 26

Vera Cruz

1 1 2 5 9

Ermera Atsabe 1 9 10

Ermera 1 21 22

Hatulia 4 1 1 18 24

Letefoho 1 5 6

Railaco 3 3

Lautem Iliomar 13 13

Lautém 92 9 7 20 4 4 22 158

Lospalos 3 1 1 10 15

Luro 1 1 2

Tutuala 1 22 1 1 5 30

194 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)


Liquiçá 91 6 2 30 2 131

Maubara 106 6 5 21 3 1 6 148


Lacló 38 23 14 4 5 8 22 114

Laclubar 1 1

Laleia 20 10 5 1 2 11 49

Manatuto 91 9 19 1 1 2 9 132

Manufahi Alas 30 1 1 1 2 35

Fatuberlio 1 1 14 16

Same 10 1 32 3 2 3 51

Turiscai 1 1 5 7

Oe-Cusse Nitibe 19 6 3 30 4 14 35 111

Oesilo 1 1 8 10

Pante Macassar

118 15 33 35 12 29 170 412


Ossu 1 1 2

Uato-Lari 5 5

Uato-Carbau

9 1 22 2 1 88 123

Viqueque 25 3 4 12 1 3 12 60

Timor Leste 1551 389 187 801 211 171 1098 4408

195 | P a g e

Table A.28: Number of agricultural households engaged in fishing activity

during last 12 months prior to the date of enumeration by main purpose of

fishing by Municipality/ Sub-municipality: TLAC 2019


Main purpose of fishing

Total

Home consumption and Social

Obligation

Home consumption and occasional

sale

Mainly for sale

(1) (2) (3) (4) (5) (6)

Aileu Aileu Vila

3 3

Laulara 2 2

Lequidoe 2 2

Remexio 1 1

Ainaro Ainaro Vila

4 3 7

Hato-Udo 14 32 7 53

Hato-Builico

3 2 5

Maubisse 1 3 4

Baucau Baguia 2 2 4

Baucau 29 136 47 212

Laga 6 56 76 138

Quelicai 7 1 2 10

Vemasse 8 98 20 126

Venilale 16 3 1 20

Bobonaro Atabae 6 94 130 230

Balibo 12 56 46 114

Bobonaro 4 3 3 10

Cailaco 1 1 2

Lolotoe 2 2

Maliana 3 1 4

196 | P a g e

Table A.28 contd……….

(1) (2) (3) (4) (5) (6)


Fatumean 2 2

Fohorem 1 1 1 3

Maucatar 3 3 2 8

Suai 6 80 81 167

Tilomar 1 36 16 53

Zumalai 7 31 5 43


Cristo Rei 26 144 36 206

Dom Aleixo

30 39 18 87

Metinaro 5 47 3 55

Nain Feto 2 20 4 26

Vera Cruz

2 5 2 9


Ermera 18 3 1 22

Hatulia 18 5 1 24

Letefoho 5 1 6

Railaco 3 3


Lautém 12 106 40 158

Lospalos 8 5 2 15

Luro 1 1 2

Tutuala 2 27 1 30

Liquica Bazartete 19 75 107 201

Liquiçá 5 53 73 131

Maubara 9 102 37 148

197 | P a g e

Table A.28 contd……….

(1) (2) (3) (4) (5) (6)


Lacló 6 98 10 114

Laclubar 1 1

Laleia 6 32 11 49

Manatuto 9 105 18 132

Manufahi Alas 3 32 35

Fatuberlio 8 8 16

Same 3 40 8 51

Turiscai 5 2 7

Oe-Cusse Nitibe 28 76 7 111

Oesilo 2 6 2 10

Pante Macassar

163 198 51 412


Ossu 2 2

Uato-Lari 1 3 1 5

Uato-Carbau

46 57 20 123

Viqueque 6 51 3 60

Timor Leste 728 2652 1028 4408

198 | P a g e

Table A.29: Number of agricultural households engaged in aquaculture activity

during last 12 months prior to the date of enumeration by degree of participation by



Number of Agricultural Households engaged in aquaculture activity degree of participation

Total Few days Few weeks

Few months

More or less regularly

(1) (2) (3) (4) (5) (6) (7)

Aileu Aileu Vila

100 20 41 223 384

Laulara 8 4 1 31 44

Lequidoe 134 2 7 12 155

Remexio 5 3 3 11

Ainaro Ainaro

Vila

40 16 7 33 96

Hato-Udo 21 2 14 21 58

Hato-Builico

189 1 6 25 221

Maubisse 305 21 29 41 396

Baucau Baguia 73 1 4 78

Baucau 13 5 40 58

Laga 12 2 2 3 19

Quelicai 10 10 7 41 68

Vemasse 7 2 15 24

Venilale 128 16 59 72 275


Balibo 11 2 11 39 63

Bobonaro 22 2 1 13 38

Cailaco 10 3 1 12 26

Lolotoe 2 5 2 7 16

199 | P a g e


(1) (2) (3) (4) (5) (6) (7)

Maliana 16 9 8 60 93


Fatumean 4 1 1 6

Fohorem 27 8 6 7 48

Maucatar 1 1 2

Suai 3 6 9

Tilomar 1 4 2 11 18

Zumalai 5 15 3 8 31


Cristo Rei 12 1 1 14 28

Dom Aleixo

4 6 3 6 19

Metinaro 6 3 9

Nain Feto 1 4 5

Vera Cruz

5 1 3 3 12


Ermera 107 31 37 49 224

Hatulia 256 54 73 94 477

Letefoho 14 4 6 12 36

Railaco 10 6 3 13 32


Lautém 15 2 2 6 25

Lospalos 6 1 18 25

Luro 7 3 5 26 41

Tutuala 2 1 2 5

200 | P a g e


(1) (2) (3) (4) (5) (6) (7)


Liquiçá 11 1 4 10 26

Maubara 1 1 1 25 28


Lacló 10 2 1 4 17

Laclubar 5 1 1 1 8

Laleia 1 1 2

Manatuto 4 1 1 5 11

Soibada 1 3 13 17



Same 63 12 38 105 218

Turiscai 5 1 6


Oesilo 13 4 2 19

Pante Macassar

65 8 37 40 150

Passabe 2 2 4

Viqueque Lacluta 1 1 2

Ossu 30 7 18 47 102

Uato-Lari 17 3 6 28 54

Uato-Carbau

50 2 4 67 123

Viqueque 94 4 3 35 136

Timor Leste 2203 326 546 1468 4543

201 | P a g e

Table A.30: Number of agricultural households engaged in aquaculture activity during last 12 months prior to the date of enumeration by by type of

production facility used by Municipality/ Sub-municipality: TLAC 2019


Type of production facility used

Total Pond culture Pen culture Cage culture

Rice-cum-fish culture

Hatchery/ nursery

Other, please specify

(1) (2) (3) (4) (5) (6) (7) (8) (9)

Aileu Aileu Vila 247 1 432 1 1 379

Laulara 49 1 43 1 42

Lequidoe 19 5 12

Remexio 16 9

Ainaro Ainaro Vila 152 97

Hato-Udo 76 7 55

Hato-Builico 221 1 51

Maubisse 217 1 1 1 1 105

Baucau Baguia 29 17

Baucau 115 1 1 14 4 57

Laga 10 1 8

Quelicai 97 2 9 62

Vemasse 19 1 11 19

Venilale 226 3 1 91 4 2 218


Balibo 118 5 1 61

Bobonaro 23 12

Cailaco 23 2 17

Lolotoe 17 14

Maliana 129 1 1 94

202 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9)


Fatumean 7 6

Fohorem 82 48

Maucatar 3 2

Suai 7 1 3 3 1 8

Tilomar 35 2 17

Zumalai 23 1 11

Dili Atauro 3 1 1 1 5

Cristo Rei 34 2 29

Dom Aleixo 19 1 17

Metinaro 27 8 9

Nain Feto 12 10

Vera Cruz 26 17


Ermera 133 6 1 1 4 80

Hatulia 262 13 5 2 207

Letefoho 73 4 26

Railaco 44 5 33


Lautém 39 6 1 25

Lospalos 39 2 24

Luro 69 2 39

Tutuala 1 1 1 4 5


Liquiçá 47 1 22

Maubara 11 1 7

203 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9)


Lacló 16 2 6

Laclubar 25 1 7

Laleia 2 2

Manatuto 14 1 2 7

Soibada 46 17

Manufahi Alas 25 5

Fatuberlio 25 1 17

Same 227 4 2 174

Turiscai 2 2

Oe-Cusse Nitibe 24 2 1 14

Oesilo 14 1 10

Pante Macassar 70 7 1 4 1 1 54

Passabe 4 2

Viqueque Lacluta 3 1 3

Ossu 137 12 96

Uato-Lari 81 8 4 1 3 1 51

Uato-Carbau 124 1 1 111

Viqueque 82 1 4 1 56

Timor Leste 4028 78 22 668 21 40 2780

204 | P a g e

Table A.31: Number of agricultural households reporting use, and number of machinery and equipment used in the last 12 months by source and

stock as on the date of enumeration: TLAC 2019

Type of Machinery & Equipment

No. of Agricultural households

reporting used machine and

equipment during last 12 months

Source

Stock owned by this holding at the time of

visit Owned Private hired

Government provided

Other

(1) (2) (3) (4) (5) (6) (7)

Rice milling machine 6036 25360 10788 368 247 70842

Rice threshing machine 723 2816 965 179 51 8796

Corn milling machine 2853 12171 6253 208 151 35932

Corn threshing machine 1157 5216 1922 123 71 16886

Rice planting machinery 40 168 57 15 1 884

Rice harvesting machinery 37 151 14 1 6 467

Coffee bean peeler processing machinery 9298 41922 607 285 190 85341

Coconut processing machinery 295 1362 86 33 16 4709

Hand tractor 6683 27686 8985 773 268 81415

Mini tractor 1501 4942 1488 501 42 13673

Medium tractor 1107 3366 698 395 196 9659

Hand Sprayer 3863 19506 2141 237 63 42843

Hoe 90071 371212 11854 3319 3061 913584

Crowbar 118192 435432 12101 3660 3496 1076882

Shovel 68433 312308 8107 2737 2395 775720

Plant sprinkler 17569 96990 2087 1446 1189 236307

Sickle 101407 393555 11222 3313 3165 992472

Hose 23657 130119 1912 1077 971 334345

Makina halo aihan ba Animal 104 429 15 8 3 1352

205 | P a g e


(1) (2) (3) (4) (5) (6) (7)

Fatin fo han manu 793 4426 69 77 66 12900

Aluminum boat 16 94 1 3 252

Fiber boat 138 770 25 43 21 2092

Wood boat 1265 7894 249 60 58 40268

Yamaha Outboard 263 1745 40 44 11 10821

Johnson Outboard 246 1430 52 20 27 5331

Ketinting Outboard 427 2884 135 23 20 17800

Gill Net 1549 9320 284 113 81 48111

Trammel Net 54 375 19 4 6 1247

Redi tipu Redi serku 149 1145 22 10 16 8901

Redi tipu Nilo 94 684 14 10 8 1736

Fish aggregating device 67 385 22 19 11 793

Armadilha/bubu 20 122 1 2 1 557

Stick Fish 371 2558 25 36 29 18854

Kilat 910 5265 87 57 35 15784

Tali senar 491 3370 113 39 36 30076

Motorbike 1516 9708 318 90 29 37137

Car 166 1177 100 6 1 7177

Horse 252 1443 12 3 6 3308

Cart 8026 48537 815 461 529 143270

Laying machine 16 113 4 2 1 242

Generator 1233 8417 145 68 79 24607

Other 3673 6877 249 36 1789 25189

Timor Leste 130782 450773 15099 4200 5473 5158562

206 | P a g e

Table A.32: Number of hired labourers by average number of days worked by Municipality/Sub-municipality: TLAC 2019

Municipality/ Sub-

municipality

Male Full Time

Female Part Time

Male Full Time

Female Part Time

Male Full Time

Female Part Time

Average no. of days worked -MALE Average no. of days worked -FEMALE

0-1 2-5 6-8 9-14 15-19

20+ 0-1 2-5 6-8 9-14 15-19 20+

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16 (17) (18) (19) (20)

Aileu Aileu Vila 373 364 38 1315 411 1679 50 65 415 25 30 152 13 1051 277 11 1

Laulara 5 33 2 3 7 36 4 14 12 8 5

Lequidoe 2 160 2 160 43 19 100

Remexio 8 95 1 22 9 117 53 19 26 2 2 1 22 1

Ainaro Ainaro Vila

296 90 51 3 347 93 130 113 140 1 2 50 3 1

Hato-Udo 396 2386 71 52 467 2438 629 1529 212 391 21 5 118

Hato-Builico

1089 113 775 24 1864 137 822 149 192 6 30 3 644 21 116 18

Maubisse 745 303 19 36 764 339 43 244 75 652 30 4 6 15 19 14 1

Baucau Baguia 147 169 10 121 157 290 39 118 31 24 7 97 17 52 6 3 5 48

Baucau 218 98 60 39 278 137 38 91 66 9 3 109 2 18 4 75

Laga 27 14 1 28 14 6 11 24 1

Quelicai 5 20 5 20 5 4 3 13

Vemasse 174 232 301 60 475 292 35 281 46 22 22 10 138 26 136 6 45

Venilale 813 266 316 200 1129 466 277 510 108 156 12 16 211 215 20 20 50

Bobonaro Atabae 86 586 77 434 163 1020 135 237 280 20 196 106 209

Balibo 32 55 63 7 95 62 16 32 15 16 8 37 32 1

Bobonaro 999 511 76 5 1075 516 445 556 348 117 6 38 23 32 26

Cailaco 387 354 741 254 78 25 15 15 244 110

Lolotoe 107 36 46 56 153 92 22 50 24 15 32 17 16 36 3 30

Maliana 488 635 775 122 1263 757 695 176 179 63 10 479 219 187 10 2


Fatumean 11 9 11 9 3 9 5 2 1

207 | P a g e

Table A.32 contd…………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16 (17) (18) (19) (20)

Fohorem 233 2 129 28 362 30 53 5 37 30 110 10 12 36 99

Maucatar 354 17 32 20 386 37 203 142 22 2 2 17 11 4 20

Suai 3037 530 2160 1228 5197 1758 1210 2127 96 54 80 1236 1991 135 26

Tilomar 2125 42 3 2128 42 2061 57 4 20 25 3

Zumalai 42 286 30 26 72 312 124 161 33 10 12 24 20

Dili Atauro 10 3 10 3 8 4 1

Cristo Rei 77 49 77 49 26 63 7 20 10

Dom Aleixo

20 21 1 6 21 27 17 12 8 1 3 1 6

Metinaro 7 7 2 5

Nain Feto 2 3 3 2 2 3

Vera Cruz 1 1 1

Ermera Atsabe 310 735 332 20 642 755 187 580 193 72 13 8 260 64 8 12

Ermera 1388 630 60 92 1448 722 68 164 521 499 94 672 50 5 54 29 14

Hatulia 872 1098 987 1132 1859 2230 410 890 355 242 6 67 686 482 471 237 85 158

Letefoho 1341 473 25 48 1366 521 38 266 377 1092 5 36 8 54 11

Railaco 182 43 9 191 43 2 38 161 24 9

Lautem Iliomar 378 45 423 12 153 90 12 111 43 2

Lautém 247 5 176 423 5 65 119 64 4 32 107 34 3

Lospalos 820 90 235 41 1055 131 296 362 209 10 33 68 167 36 5

Luro 1319 496 2620 1211 3939 1707 828 582 283 80 42 2165 1055 549 42 20

Tutuala 1 1 1

Liquica Bazartete 41 165 16 10 57 175 20 41 131 9 5 8 9 9

Liquiçá 112 142 23 10 135 152 39 91 106 7 2 9 3 3 19 8

Maubara 447 75 29 8 476 83 225 41 206 28 4 18 8 11 18

Manatuto Barique 818 108 98 159 916 267 11 878 27 5 5 20 182 38 17

Lacló 2 5 1 3 5 3 4 1

208 | P a g e

Table A.32 contd…………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16 (17) (18) (19) (20)

Laclubar 27 27 4 8 15

Laleia 1424 14 157 176 1581 190 992 441 5 76 245 12

Manatuto 24 75 110 20 134 95 82 7 10 38 82 10

Soibada 328 216 544 37 138 69 53 31 31 71 42 35 37


Fatuberlio 15 12 27 2 13 7 5

Same 96 61 5 101 61 38 41 19 56 3 5

Turiscai 50 1 50 1 8 42 1

Oe-Cusse Nitibe 285 137 17 48 302 185 89 89 221 23 2 50 13

Oesilo 706 129 11 6 717 135 727 42 33 13 5 15 3 4 10

Pante Macassar

2464 4816 639 290 3103 5106 2018 3835 883 314 81 149 635 194 71 20 9

Passabe 448 5 448 5 412 40 1

Viqueque Lacluta 349 79 140 7 489 86 151 206 26 15 30 53 88 6

Ossu 179 56 79 41 258 97 84 53 58 40 19 25 54 22

Uato-Lari 1130 333 771 30 1901 363 1005 125 213 104 16 778 23

Uato-Carbau

1303 808 1414 712 2717 1520 70 370 956 692 22 1 108 448 849 701 16 4

Viqueque 1797 284 691 171 2488 455 878 539 276 246 89 53 466 257 105 29 5

Timor Leste 31182 18032 14300 8052 45482 26084 16252 17043 7936 5343 532 2108 8498 8002 3644 1507 133 568

209 | P a g e

Table A.33: Number of hired labourers by main form of payment to hired labours by

Municipality/Sub-municipality: TLAC 2019


Number of hired laborers by main form of payment

Total

In cash In farm

produce

Exchange

of labour

Other forms of

in-kind payment

(1) (2) (3) (4) (5) (6) (7)

Aileu Aileu Vila 2062 27 1 2090

Laulara 35 8 43

Lequidoe 127 4 29 2 162

Remexio 119 7 126

Ainaro Ainaro Vila 341 56 9 34 440

Hato-Udo 2023 4 878 2905

Hato-Builico 228 43 1720 10 2001

Maubisse 793 40 244 26 1103

Baucau Baguia 286 4 148 9 447

Baucau 319 89 5 2 415

Laga 36 6 42

Quelicai 9 16 25

Vemasse 609 3 140 15 767

Venilale 1247 36 309 3 1595

Bobonaro Atabae 1181 2 1183

Balibo 156 1 157

Bobonaro 1166 50 350 25 1591

Cailaco 716 25 741

210 | P a g e


(1) (2) (3) (4) (5) (6) (7)

Lolotoe 182 63 245

Maliana 2009 10 1 2020


Fatumean 20 20

Fohorem 18 374 392

Maucatar 231 191 1 423

Suai 6029 76 612 238 6955

Tilomar 41 4 2120 5 2170

Zumalai 338 1 44 1 384

Dili Atauro 12 1 13

Cristo Rei 97 11 12 6 126

Dom Aleixo 46 1 1 48

Metinaro 7 7

Nain Feto 5 5

Vera Cruz 1 1


Ermera 1503 582 39 46 2170

Hatulia 3338 390 299 62 4089

Letefoho 1837 26 9 15 1887

Railaco 164 27 2 41 234


Lautém 408 4 3 13 428

Lospalos 1158 5 22 1 1186

Luro 4213 16 1328 89 5646

Tutuala 1 1

Liquica Bazartete 221 2 9 232

Liquiçá 232 46 3 6 287

Maubara 532 27 559

211 | P a g e


(1) (2) (3) (4) (5) (6) (7)


Lacló 3 4 1 8

Laclubar 10 15 2 27

Laleia 1733 11 6 21 1771

Manatuto 217 12 229

Soibada 335 209 544

Manufahi Alas 6 1 7

Fatuberlio 27 27

Same 134 5 22 1 162

Turiscai 49 1 1 51

Oe-Cusse Nitibe 238 193 32 24 487

Oesilo 214 610 23 5 852

Pante Macassar 7579 42 298 290 8209

Passabe 169 3 276 5 453

Viqueque Lacluta 551 22 2 575

Ossu 312 21 22 355

Uato-Lari 2264 2264

Uato-Carbau 4113 106 18 4237

Viqueque 2661 153 86 43 2943

Timor Leste 57611 2694 10095 1166 71566

212 | P a g e

Table A.34: Population of agricultural households by relationship to head of household by sex, by Municipality/ Sub-municipality: TLAC 2019

Municipality and

Post Administrative

Relationship to Head of Household – All population

Total Head/Self Spouse

Biological born son

or daughter

Adopted son or

daughter

Brother/sister

Grand-child

Parents of head

Parents of

spouse

Child of spouse (step child)

Daughter in law or Son in

law

Nephew or Niece

Other relations

No relation

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

TIMOR-

LESTE: All 764,216 135,906 111,028 365,755 12,175 18,978 58,772 11,718 4,348 4,723 20,015 16,718 3,267 813

AILEU 41,828 6,826 5,741 21,270 572 1,187 3,079 508 126 70 1,299 962 151 37

Aileu Vila 18,044 3,039 2,461 9,134 316 556 1,162 244 65 47 478 454 66 22

Laulara 6,537 1,068 877 3,222 56 182 627 56 16 10 252 106 54 11

Lequidoe 6,132 960 902 3,349 78 152 293 47 20 3 181 123 23 1

Remexio 11,115 1,759 1,501 5,565 122 297 997 161 25 10 388 279 8 3

AINARO 43,902 7,221 5,842 22,594 666 1,018 3,308 804 159 162 1,189 765 155 19

Ainaro Vila 11,004 1,740 1,457 5,624 123 295 926 139 45 132 260 234 29 0

Hato-Udo 9,346 1,689 1,328 4,023 242 267 1,007 155 25 0 340 248 20 2

Hato-Builico 8,800 1,449 1,080 4,823 99 205 526 221 42 15 238 73 24 5

Maubisse 14,752 2,343 1,977 8,124 202 251 849 289 47 15 351 210 82 12

BAUCAU 97,621 17,917 14,212 44,599 1,874 2,022 9,553 1,804 410 125 2,670 1,959 409 67

Baguia 10,186 1,836 1,431 5,130 126 140 937 133 26 21 216 102 79 9

Baucau 34,251 5,898 4,773 15,524 662 913 3,285 669 159 29 1,115 1,040 151 33

Laga 15,034 2,769 2,270 6,867 228 296 1,527 334 66 19 425 206 25 2

Quelicai 15,733 3,216 2,383 7,134 266 258 1,587 227 50 25 379 133 66 9

Vemasse 8,153 1,518 1,227 3,431 218 144 886 135 37 10 236 234 70 7

Vemasse 14,264 2,680 2,128 6,513 374 271 1,331 306 72 21 299 244 18 7

BOBONARO 76,006 14,117 11,393 35,546 1,188 1,572 6,452 935 825 143 1,987 1,495 289 64

Atabae 11,070 1,884 1,606 5,131 140 285 984 124 95 3 324 367 104 23

Balibo 13,375 2,592 2,005 6,156 261 286 1,088 217 93 17 302 284 60 14

213 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Bobonaro 19,031 3,589 2,816 8,917 326 300 1,835 297 225 49 532 105 36 4

Cailaco 9,718 1,772 1,405 4,661 96 139 973 101 37 7 295 200 24 8

Lolotoe 7,326 1,465 1,250 3,309 137 157 483 75 188 16 162 34 42 8

Maliana 15,486 2,815 2,311 7,372 228 405 1,089 121 187 51 372 505 23 7

COVALIMA 53,131 10,053 8,869 24,021 1,030 1,266 3,975 625 828 332 1,193 628 246 65

Fatululic 1,971 395 319 931 17 27 163 22 38 0 38 10 11 0

Fatumean 3,056 604 484 1,228 101 92 292 76 21 1 68 66 19 4

Fohorem 2,938 646 549 1,175 76 78 236 23 58 4 61 19 13 0

Maucatar 8,066 1,531 1,323 3,707 106 179 606 56 193 13 185 112 45 10

Suai 18,556 3,374 2,955 8,662 348 556 1,322 245 278 43 448 243 47 35

Tilomar 7,410 1,469 1,339 3,295 132 157 395 67 118 214 123 63 30 8

Zumalai 11,134 2,034 1,900 5,023 250 177 961 136 122 57 270 115 81 8

DILI 47,032 7,058 6,115 22,335 563 2,190 3,453 480 208 45 1,663 2,358 482 82

Atauro 7,300 1,325 1,401 3,538 93 109 310 110 32 10 179 143 43 7

Cristo Rei 17,232 2,568 2,170 8,610 186 902 1,182 151 61 10 560 646 159 27

Dom Aleixo 11,883 1,627 1,349 5,392 115 735 884 89 53 18 392 989 204 36

Metinaro 2,643 471 364 1,233 52 79 144 36 25 0 122 115 0 2

Nain Feto 2,714 369 290 1,159 62 80 301 21 15 4 165 228 18 2

Vera Cruz 5,260 698 541 2,403 55 285 632 73 22 3 245 237 58 8

ERMERA 93,817 15,642 13,015 49,688 1,939 2,501 5,723 1,424 238 187 2,184 1,077 159 40

Atsabe 13,328 2,340 1,874 6,678 237 324 1,036 240 32 18 383 134 24 8

Ermera 23,730 3,933 3,348 12,343 679 842 1,161 354 66 33 501 402 58 10

Hatulia 29,646 4,924 3,984 15,895 593 599 1,992 397 74 110 768 261 40 9

Letefoho 18,840 3,178 2,666 10,678 285 382 920 272 40 20 276 96 22 5

Railaco 8,273 1,267 1,143 4,094 145 354 614 161 26 6 256 184 15 8

LAUTEM 53,076 9,398 7,231 27,090 456 916 3,964 880 235 252 1,258 1,276 109 11

Iliomar 6,492 1,249 1,015 3,120 68 126 381 189 31 11 112 166 21 3

Lautem 13,362 2,425 1,924 6,810 140 195 901 207 62 216 304 132 43 3

214 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Lospalos 24,193 4,085 3,023 12,619 169 463 1,946 297 83 18 623 824 39 4

Luro 6,850 1,197 986 3,489 62 101 530 130 51 4 179 114 6 1

Tutuala 2,179 442 283 1,052 17 31 206 57 8 3 40 40 0 0

LIQUICA 61,255 9,898 8,138 28,848 816 2,123 5,596 1,056 168 38 2,214 1,977 326 57

Bazartete 25,802 3,902 3,322 12,597 304 1,041 2,286 390 44 10 1,030 747 108 21

Liquica 15,665 2,615 2,158 7,002 230 501 1,502 293 55 11 557 615 108 18

Maubara 19,788 3,381 2,658 9,249 282 581 1,808 373 69 17 627 615 110 18

MANATUTO 33,977 5,519 4,548 14,548 363 1,156 4,044 608 326 36 1,310 1,335 149 35

Barique 5,232 943 785 1,909 46 196 674 97 67 6 188 255 60 6

Laclo 5,854 963 828 2,930 31 104 612 77 52 11 170 75 1 0

Laclubar 9,702 1,507 1,169 4,279 86 491 959 306 78 17 336 440 29 5

Laleia 3,349 626 511 1,334 47 49 459 24 25 1 174 83 14 2

Manatuto 6,918 1,038 883 2,958 72 210 935 65 71 1 324 323 17 21

Soibada 2,922 442 372 1,138 81 106 405 39 33 0 118 159 28 1

MANUFAHI 35,282 6,259 4,689 16,759 711 826 2,578 630 247 59 922 884 459 259

Alas 4,898 945 536 2,581 63 76 156 122 24 19 25 76 38 237

Fatuberlio 5,897 1,069 614 2,605 287 136 554 84 101 5 209 144 86 3

Same 19,270 3,348 2,691 9,238 243 505 1,589 316 104 16 570 518 114 18

Turiscai 5,217 897 848 2,335 118 109 279 108 18 19 118 146 221 1

OECUSSE 65,214 13,544 11,337 29,544 720 1,022 2,986 624 216 3,130 979 974 96 42

Nitibe 11,902 2,585 2,098 5,046 138 93 533 110 36 1,026 125 103 6 3

Oesilo 11,296 2,382 1,914 3,890 91 59 690 124 59 1,711 313 56 2 5 Pante Macassar 34,063 6,883 5,873 16,567 374 820 1,424 258 102 379 456 807 86 34

Passabe 7,953 1,694 1,452 4,041 117 50 339 132 19 14 85 8 2 0

VIQUEQUE 62,075 12,454 9,898 28,913 1,277 1,179 4,061 1,340 362 144 1,147 1,028 237 35

Lacluta 5,851 1,196 1,010 2,633 188 135 298 95 47 4 53 162 25 5

215 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Ossu 14,557 2,925 2,267 6,696 371 292 1,164 297 67 78 216 148 31 5

Uato-Lari 14,636 3,208 2,284 7,215 224 219 645 342 80 35 225 133 19 7

Uato-Carbau 7,312 1,422 1,161 3,359 131 123 618 152 31 5 156 109 42 3

Viqueque 19,719 3,703 3,176 9,010 363 410 1,336 454 137 22 497 476 120 15

216 | P a g e

Table A.34: Population of agricultural households by relationship to head of household by sex by Municipality/ Sub-municipality: TLAC 2019

Municipality

and Post Administrative

Relationship to Head of Household - Male


Biological born son

or daughter

Adopted son or

daughter

Brother/sister

Grand-child

Parents of head

Parents of

spouse



law

Nephew or Niece

Other relations

No relation

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

TIMOR-

LESTE: Male

384,825 112,773 4,538 194,692 6,595 9,885 29,944 3,521 1,188 2,398 8,411 8,636 1,786 458

AILEU 21,540 5,936 124 11,651 315 678 1,616 162 38 26 402 496 81 15

Aileu Vila 9,316 2,633 53 4,994 167 308 601 74 17 17 159 246 37 10

Laulara 3,414 937 10 1,770 37 111 347 18 5 4 86 56 30 3

Lequidoe 3,095 819 12 1,850 42 92 152 18 8 1 31 62 8 0

Remexio 5,715 1,547 49 3,037 69 167 516 52 8 4 126 132 6 2

AINARO 22,613 6,098 218 12,392 378 528 1,695 239 37 68 467 412 70 11

Ainaro Vila

5,669 1,415 102 3,057 72 165 484 42 10 63 111 134 14 0

Hato-Udo 4,783 1,381 60 2,202 141 139 496 39 9 0 178 128 9 1

Hato-Builico

4,507 1,237 21 2,608 60 107 266 76 4 1 69 41 13 4

Maubisse 7,654 2,065 35 4,525 105 117 449 82 14 4 109 109 34 6

BAUCAU 49,171 14,975 453 23,951 980 1,055 4,849 628 127 45 872 991 214 31

Baguia 5,096 1,494 32 2,749 73 70 466 52 8 9 50 51 38 4

Baucau 17,224 5,076 115 8,244 363 483 1,658 237 46 13 388 508 79 14

Laga 7,507 2,318 74 3,681 126 145 775 124 20 4 112 113 14 1

217 | P a g e

Male Table A.34 contd……..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Quelicai 7,839 2,528 104 3,844 133 127 803 66 19 7 114 63 28 3

Vemasse 4,181 1,324 38 1,880 64 85 464 47 11 6 108 111 40 3

Vemasse 7,324 2,235 90 3,553 221 145 683 102 23 6 100 145 15 6

BOBONARO 37,943 11,653 443 18,424 614 818 3,243 262 242 59 1,253 740 155 37

Atabae 5,683 1,669 37 2,771 68 143 478 33 30 0 221 170 47 16

Balibo 6,710 2,111 79 3,251 145 146 535 62 32 8 161 134 41 5

Bobonaro 9,406 2,864 165 4,509 160 169 939 84 59 25 353 55 21 3

Cailaco 4,858 1,406 60 2,464 59 55 481 31 11 3 150 121 14 3

Lolotoe 3,664 1,271 23 1,711 63 82 255 16 59 5 132 18 23 6

Maliana 7,622 2,332 79 3,718 119 223 555 36 51 18 236 242 9 4

COVALIMA 26,788 8,552 454 12,479 575 696 1,998 185 226 165 941 332 144 41

Fatululic 979 322 13 465 10 16 94 9 7 0 30 5 8 0

Fatumean 1,536 501 17 658 55 40 138 24 3 1 44 38 17 0

Fohorem 1,503 567 16 620 42 40 122 9 20 3 44 11 9 0

Maucatar 4,077 1,334 27 1,933 58 96 306 15 47 5 165 60 24 7

Suai 9,334 2,896 138 4,443 194 296 634 77 87 14 382 121 25 27

Tilomar 3,730 1,285 58 1,709 71 95 205 13 32 120 87 35 16 4

Zumalai 5,629 1,647 185 2,651 145 113 499 38 30 22 189 62 45 3

218 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

DILI 23,835 5,950 319 11,702 328 1,234 1,758 140 47 22 764 1,241 293 37

Atauro 3,495 1,021 155 1,852 60 49 170 29 3 4 57 69 25 1

Cristo Rei 8,935 2,234 67 4,607 112 537 599 45 18 3 240 354 106 13

Dom Aleixo 6,049 1,438 40 2,777 64 379 445 22 12 12 207 527 112 14

Metinaro 1,331 391 12 649 33 44 72 8 9 0 58 53 0 2

Nain Feto 1,404 311 8 622 30 42 164 9 3 2 81 119 11 2

Vera Cruz 2,621 555 37 1,195 29 183 308 27 2 1 121 119 39 5

ERMERA 47,168 12,934 653 26,706 1,031 1,288 2,936 383 59 97 418 568 76 19

Atsabe 6,652 1,854 154 3,586 121 145 540 55 9 9 90 73 11 5

Ermera 12,031 3,393 108 6,666 379 430 573 97 20 20 84 230 29 2

Hatulia 14,790 3,995 186 8,525 304 330 1,000 103 14 59 129 121 20 4

Letefoho 9,522 2,669 105 5,692 143 204 509 76 9 6 43 51 10 5

Railaco 4,173 1,023 100 2,237 84 179 314 52 7 3 72 93 6 3

LAUTEM 26,252 7,398 225 14,418 249 416 2,045 240 40 131 415 613 55 7

Iliomar 3,138 1,051 22 1,635 34 54 174 55 3 4 21 75 9 1

Lautem 6,717 1,936 64 3,672 77 100 467 56 12 118 121 68 24 2

Lospalos 11,855 3,061 104 6,680 105 200 1,014 72 15 7 192 385 17 3

Luro 3,496 1,055 23 1,876 29 50 280 43 10 1 62 61 5 1

Tutuala 1,046 295 12 555 4 12 110 14 0 1 19 24 0 0

219 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

LIQUICA 30,979 8,425 356 15,403 460 1,063 2,887 338 57 20 733 1,040 168 29

Bazartete 13,080 3,396 101 6,759 176 533 1,193 121 12 5 320 401 55 8

Liquica 7,866 2,264 71 3,748 129 252 768 97 15 3 146 309 55 9

Maubara 10,033 2,765 184 4,896 155 278 926 120 30 12 267 330 58 12

MANATUTO 17,135 4,670 180 7,540 191 585 2,054 176 91 23 824 702 81 18

Barique 2,671 854 8 1,021 28 87 349 14 17 5 114 133 37 4

Laclo 2,887 847 24 1,472 16 59 286 22 16 8 97 39 1 0

Laclubar 4,822 1,129 108 2,224 39 248 469 104 22 9 210 244 14 2

Laleia 1,717 546 0 730 24 22 246 6 9 1 90 39 3 1

Manatuto 3,553 907 32 1,541 35 118 478 19 15 0 223 163 11 11

Soibada 1,485 387 8 552 49 51 226 11 12 0 90 84 15 0

MANUFAHI 17,950 4,521 504 8,992 424 463 1,303 198 78 35 547 451 261 173

Alas 2,529 372 231 1,436 47 48 88 43 8 14 17 38 32 155

Fatuberlio 2,854 605 23 1,366 159 77 280 20 35 3 145 84 55 2

Same 9,860 2,810 122 4,904 150 283 798 89 29 8 331 255 66 15

Turiscai 2,707 734 128 1,286 68 55 137 46 6 10 54 74 108 1

OECUSSE 32,611 11,396 357 15,691 387 512 1,511 156 55 1,628 341 501 53 23

Nitibe 5,966 2,108 62 2,700 81 38 286 25 9 544 42 65 5 1

Oesilo 5,569 2,006 24 2,075 50 33 336 37 10 878 89 30 1 0

220 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Pante Macassar

17,183 5,903 230 8,781 195 423 709 60 31 197 184 402 46 22

Passabe 3,893 1,379 41 2,135 61 18 180 34 5 9 26 4 1 0

VIQUEQUE 30,840 10,265 252 15,343 663 549 2,049 414 91 79 434 549 135 17

Lacluta 2,991 1,042 34 1,393 105 80 149 36 12 2 33 85 16 4

Ossu 7,194 2,389 79 3,500 180 117 604 85 15 41 77 87 18 2

Uato-Lari 7,145 2,399 29 3,833 116 101 342 112 19 19 81 78 13 3

Uato-Carbau 3,598 1,223 12 1,780 62 54 285 45 7 4 44 52 27 3

Viqueque 9,912 3,212 98 4,837 200 197 669 136 38 13 199 247 61 5

221 | P a g e

Table A.34: Population of agricultural households by relationship to head of household by sex by Municipality/ Sub-municipality: TLAC 2019

Municipality and

Post Administrative

Relationship to Head of Household - Female


Biological born son

or daughter

Adopted son or

daughter

Brother/sister

Grand-child

Parents of head

Parents of

spouse



law

Nephew or Niece

Other relations

No relation

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

TIMOR-

LESTE: Female

379,391 23,133

106,49

0 171,063 5,580 9,093 28,828 8,197 3,160 2,325 11,604 8,082 1,481 355

AILEU 20,288 890 5,617 9,619 257 509 1,463 346 88 44 897 466 70 22

Aileu Vila 8,728 406 2,408 4,140 149 248 561 170 48 30 319 208 29 12

Laulara 3,123 131 867 1,452 19 71 280 38 11 6 166 50 24 8

Lequidoe 3,037 141 890 1,499 36 60 141 29 12 2 150 61 15 1

Remexio 5,400 212 1,452 2,528 53 130 481 109 17 6 262 147 2 1

AINARO 21,289 1,123 5,624 10,202 288 490 1,613 565 122 94 722 353 85 8

Ainaro Vila 5,335 325 1,355 2,567 51 130 442 97 35 69 149 100 15 0

Hato-Udo 4,563 308 1,268 1,821 101 128 511 116 16 0 162 120 11 1

Hato-Builico 4,293 212 1,059 2,215 39 98 260 145 38 14 169 32 11 1

Maubisse 7,098 278 1,942 3,599 97 134 400 207 33 11 242 101 48 6

BAUCAU 48,450 2,942 13,759 20,648 894 967 4,704 1,176 283 80 1,798 968 195 36

Baguia 5,090 342 1,399 2,381 53 70 471 81 18 12 166 51 41 5

Baucau 17,027 822 4,658 7,280 299 430 1,627 432 113 16 727 532 72 19

222 | P a g e

Female Table A.34 contd……..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Laga 7,527 451 2,196 3,186 102 151 752 210 46 15 313 93 11 1

Quelicai 7,894 688 2,279 3,290 133 131 784 161 31 18 265 70 38 6

Vemasse 3,972 194 1,189 1,551 154 59 422 88 26 4 128 123 30 4

Vemasse 6,940 445 2,038 2,960 153 126 648 204 49 15 199 99 3 1

BOBONARO 38,063 2,464 10,950 17,122 574 754 3,209 673 583 84 734 755 134 27

Atabae 5,387 215 1,569 2,360 72 142 506 91 65 3 103 197 57 7

Balibo 6,665 481 1,926 2,905 116 140 553 155 61 9 141 150 19 9

Bobonaro 9,625 725 2,651 4,408 166 131 896 213 166 24 179 50 15 1

Cailaco 4,860 366 1,345 2,197 37 84 492 70 26 4 145 79 10 5

Lolotoe 3,662 194 1,227 1,598 74 75 228 59 129 11 30 16 19 2

Maliana 7,864 483 2,232 3,654 109 182 534 85 136 33 136 263 14 3

COVALIMA 26,343 1,501 8,415 11,542 455 570 1,977 440 602 167 252 296 102 24

Fatululic 992 73 306 466 7 11 69 13 31 0 8 5 3 0

Fatumean 1,520 103 467 570 46 52 154 52 18 0 24 28 2 4

Fohorem 1,435 79 533 555 34 38 114 14 38 1 17 8 4 0

Maucatar 3,989 197 1,296 1,774 48 83 300 41 146 8 20 52 21 3

Suai 9,222 478 2,817 4,219 154 260 688 168 191 29 66 122 22 8

223 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

Tilomar 3,680 184 1,281 1,586 61 62 190 54 86 94 36 28 14 4

Zumalai 5,505 387 1,715 2,372 105 64 462 98 92 35 81 53 36 5

DILI 23,197 1,108 5,796 10,633 235 956 1,695 340 161 23 899 1,117 189 45

Atauro 3,805 304 1,246 1,686 33 60 140 81 29 6 122 74 18 6

Cristo Rei 8,297 334 2,103 4,003 74 365 583 106 43 7 320 292 53 14

Dom Aleixo 5,834 189 1,309 2,615 51 356 439 67 41 6 185 462 92 22

Metinaro 1,312 80 352 584 19 35 72 28 16 0 64 62 0 0

Nain Feto 1,310 58 282 537 32 38 137 12 12 2 84 109 7 0

Vera Cruz 2,639 143 504 1,208 26 102 324 46 20 2 124 118 19 3

ERMERA 46,649 2,708 12,362 22,982 908 1,213 2,787 1,041 179 90 1,766 509 83 21

Atsabe 6,676 486 1,720 3,092 116 179 496 185 23 9 293 61 13 3

Ermera 11,699 540 3,240 5,677 300 412 588 257 46 13 417 172 29 8

Hatulia 14,856 929 3,798 7,370 289 269 992 294 60 51 639 140 20 5

Letefoho 9,318 509 2,561 4,986 142 178 411 196 31 14 233 45 12 0

Railaco 4,100 244 1,043 1,857 61 175 300 109 19 3 184 91 9 5

224 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

LAUTEM 26,824 2,000 7,006 12,672 207 500 1,919 640 195 121 843 663 54 4

Iliomar 3,354 198 993 1,485 34 72 207 134 28 7 91 91 12 2

Lautem 6,645 489 1,860 3,138 63 95 434 151 50 98 183 64 19 1

Lospalos 12,338 1,024 2,919 5,939 64 263 932 225 68 11 431 439 22 1

Luro 3,354 142 963 1,613 33 51 250 87 41 3 117 53 1 0

Tutuala 1,133 147 271 497 13 19 96 43 8 2 21 16 0 0

LIQUICA 30,276 1,473 7,782 13,445 356 1,060 2,709 718 111 18 1,481 937 158 28

Bazartete 12,722 506 3,221 5,838 128 508 1,093 269 32 5 710 346 53 13

Liquica 7,799 351 2,087 3,254 101 249 734 196 40 8 411 306 53 9

Maubara 9,755 616 2,474 4,353 127 303 882 253 39 5 360 285 52 6

MANATUTO 16,842 849 4,368 7,008 172 571 1,990 432 235 13 486 633 68 17

Barique 2,561 89 777 888 18 109 325 83 50 1 74 122 23 2

Laclo 2,967 116 804 1,458 15 45 326 55 36 3 73 36 0 0

Laclubar 4,880 378 1,061 2,055 47 243 490 202 56 8 126 196 15 3

Laleia 1,632 80 511 604 23 27 213 18 16 0 84 44 11 1

Manatuto 3,365 131 851 1,417 37 92 457 46 56 1 101 160 6 10

Soibada 1,437 55 364 586 32 55 179 28 21 0 28 75 13 1

225 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15)

MANUFAHI 17,332 1,738 4,185 7,767 287 363 1,275 432 169 24 375 433 198 86

Alas 2,369 573 305 1,145 16 28 68 79 16 5 8 38 6 82

Fatuberlio 3,043 464 591 1,239 128 59 274 64 66 2 64 60 31 1

Same 9,410 538 2,569 4,334 93 222 791 227 75 8 239 263 48 3

Turiscai 2,510 163 720 1,049 50 54 142 62 12 9 64 72 113 0

OECUSSE 32,603 2,148 10,980 13,853 333 510 1,475 468 161 1,502 638 473 43 19

Nitibe 5,936 477 2,036 2,346 57 55 247 85 27 482 83 38 1 2

Oesilo 5,727 376 1,890 1,815 41 26 354 87 49 833 224 26 1 5

Pante Macassar

16,880 980 5,643 7,786 179 397 715 198 71 182 272 405 40 12

Passabe 4,060 315 1,411 1,906 56 32 159 98 14 5 59 4 1 0

VIQUEQUE 31,235 2,189 9,646 13,570 614 630 2,012 926 271 65 713 479 102 18

Lacluta 2,860 154 976 1,240 83 55 149 59 35 2 20 77 9 1

Ossu 7,363 536 2,188 3,196 191 175 560 212 52 37 139 61 13 3

Uato-Lari 7,491 809 2,255 3,382 108 118 303 230 61 16 144 55 6 4

Uato-Carbau 3,714 199 1,149 1,579 69 69 333 107 24 1 112 57 15 0

Viqueque 9,807 491 3,078 4,173 163 213 667 318 99 9 298 229 59 10

226 | P a g e

Table A.35: Total population of agricultural households by 5-year age group, sex by Municipality/ Sub-municipality: TLAC 2019

Municipality and Post

Administrative

Age Group (yrs.) – All Population

Total 0 - 4 5-9 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 +

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

TIMOR-LESTE 764,216 87,783 93,239 102,076 88,076 61,242 56,737 46,445 38,498 29,095 35,839 28,416 23,612 21,640 19,948 16,903 14,667

AILEU 41,828 5,168 4,893 5,283 5,193 3,854 3,619 2,880 2,053 1,075 1,684 1,521 1,342 1,096 874 759 534

Aileu Vila 18,044 2,104 2,044 2,160 2,399 1,800 1,583 1,178 838 457 750 671 602 488 436 288 246

Laulara 6,537 832 785 822 678 586 602 471 328 202 289 275 228 150 131 88 70

Lequidoe 6,132 702 650 836 856 605 513 431 312 158 219 197 124 137 105 204 83

Remexio 11,115 1,530 1,414 1,465 1,260 863 921 800 575 258 426 378 388 321 202 179 135

AINARO 43,902 5,443 5,902 6,474 4,911 3,385 2,907 2,401 2,206 1,761 2,076 1,491 931 880 864 1,525 745

Ainaro Vila 11,004 1,342 1,443 1,699 1,425 849 650 542 533 443 470 379 228 222 238 357 184

Hato-Udo 9,346 984 1,162 1,320 1,084 629 614 514 612 451 463 312 190 194 196 408 213

Hato-Builico 8,800 1,151 1,279 1,375 903 647 547 451 404 372 432 317 187 153 157 269 156

Maubisse 14,752 1,966 2,018 2,080 1,499 1,260 1,096 894 657 495 711 483 326 311 273 491 192

BAUCAU 97,621 11,232 11,706 12,701 10,859 7,587 6,826 5,358 4,072 3,349 4,707 4,169 3,879 3,410 3,105 2,160 2,501

Baguia 10,186 1,177 1,274 1,337 1,148 905 693 484 271 303 438 476 475 379 339 198 289

Baucau 34,251 3,874 3,731 4,374 4,153 2,874 2,671 2,001 1,734 1,297 1,618 1,337 1,204 1,044 927 677 735

Laga 15,034 1,863 1,910 1,905 1,512 1,080 1,112 813 550 508 674 651 707 560 497 292 400

Quelicai 15,733 1,787 1,995 2,060 1,533 1,088 917 731 541 523 820 714 735 666 689 458 476

Vemasse 8,153 1,019 1,007 1,051 833 602 578 522 406 260 422 356 306 240 204 158 189

Vemasse 14,264 1,512 1,789 1,974 1,680 1,038 855 807 570 458 735 635 452 521 449 377 412

227 | P a g e

All Population Table A.35 contd………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

BOBONARO 76,006 8,471 9,299 10,368 7,993 5,184 5,525 4,850 4,305 2,949 3,473 3,085 2,739 2,198 2,017 1,842 1,708

Atabae 11,070 1,167 1,217 1,692 1,355 836 840 711 550 513 488 441 358 203 288 229 182

Balibo 13,375 1,533 1,696 1,867 1,304 838 986 851 854 581 665 538 426 337 282 327 290

Bobonaro 19,031 2,342 2,474 2,516 1,683 1,198 1,337 1,095 1,057 625 818 714 726 594 602 611 639

Cailaco 9,718 1,072 1,272 1,293 942 684 742 600 450 399 482 436 359 322 264 199 202

Lolotoe 7,326 837 892 965 608 470 503 520 489 190 298 328 284 276 230 249 187

Maliana 15,486 1,520 1,748 2,035 2,101 1,158 1,117 1,073 905 641 722 628 586 466 351 227 208

COVALIMA 53,131 6,134 6,274 6,606 5,916 4,137 3,859 3,205 3,057 2,089 2,707 1,981 1,590 1,399 1,622 1,480 1,075

Fatululic 1,971 248 207 268 191 139 140 120 84 91 134 45 57 57 45 85 60

Fatumean 3,056 362 411 426 214 199 207 159 183 145 142 75 43 84 137 172 97

Fohorem 2,938 319 287 366 307 202 186 126 144 128 189 140 112 120 120 93 99

Maucatar 8,066 937 968 971 880 639 607 512 456 282 419 329 279 196 210 196 185

Suai 18,556 1,955 1,997 2,210 2,401 1,551 1,321 1,158 1,179 774 937 805 638 463 474 387 306

Tilomar 7,410 863 978 997 725 539 528 411 397 373 448 259 184 169 176 219 144

Zumalai 11,134 1,450 1,426 1,368 1,198 868 870 719 614 296 438 328 277 310 460 328 184

DILI 47,032 4,487 4,407 5,072 6,040 5,907 5,051 3,650 2,644 1,854 2,050 1,687 1,342 1,132 732 469 508

Atauro 7,300 630 658 834 899 594 616 533 539 403 359 297 286 211 155 144 142

Cristo Rei 17,232 1,828 1,743 1,858 2,218 2,228 1,903 1,365 900 614 696 554 455 375 228 122 145

Dom

Aleixo 11,883 1,121 1,147 1,243 1,574 1,735 1,305 902 607 451 517 402 315 235 155 79 95

Metinaro 2,643 173 189 349 346 301 285 208 152 89 142 123 61 89 55 42 39

Nain Feto 2,714 176 180 272 361 364 359 235 143 101 118 123 85 85 51 32 29

Vera Cruz 5,260 559 490 516 642 685 583 407 303 196 218 188 140 137 88 50 58

ERMERA 93,817 10,581 11,551 12,908 11,553 8,820 7,591 5,849 4,712 3,451 4,180 3,657 2,719 2,368 1,821 1,089 967

Atsabe 13,328 1,371 1,498 1,754 1,547 1,185 1,161 722 671 590 646 612 375 359 356 265 216

Ermera 23,730 2,293 2,682 3,267 3,328 2,458 1,817 1,512 1,302 1,095 1,073 857 677 524 366 225 254

Hatulia 29,646 3,721 4,039 4,343 3,289 2,669 2,282 1,845 1,460 881 1,252 1,091 826 722 595 329 302

Letefoho 18,840 2,136 2,361 2,550 2,363 1,698 1,532 1,155 863 686 909 776 589 538 367 185 132

Railaco 8,273 1,060 971 994 1,026 810 799 615 416 199 300 321 252 225 137 85 63

228 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

LAUTEM 53,076 6,090 7,047 7,782 6,353 3,904 3,154 2,359 2,064 2,438 2,994 2,230 1,832 1,409 1,329 941 1,150

Iliomar 6,492 755 976 1,082 634 228 259 248 263 347 443 331 243 234 163 134 152

Lautem 13,362 1,458 1,795 1,938 1,442 1,016 935 687 505 649 712 514 415 379 408 239 270

Lospalos 24,193 2,729 2,997 3,397 3,343 2,149 1,524 1,014 947 1,049 1,299 968 849 550 528 351 499

Luro 6,850 892 957 1,043 737 395 341 322 243 291 413 302 244 182 174 164 150

Tutuala 2,179 256 322 322 197 116 95 88 106 102 127 115 81 64 56 53 79

LIQUICA 61,255 7,834 7,466 7,576 6,616 5,298 5,325 4,589 3,262 1,715 2,442 2,014 1,801 1,688 1,302 1,326 1,001

Bazartete 25,802 3,248 3,112 3,156 3,113 2,378 2,389 1,989 1,343 671 977 829 716 638 495 412 336

Liquica 15,665 2,123 1,921 1,910 1,547 1,339 1,340 1,216 882 332 590 538 561 473 344 307 242

Maubara 19,788 2,463 2,433 2,510 1,956 1,581 1,596 1,384 1,037 712 875 647 524 577 463 607 423

MANATUTO 33,977 3,928 4,239 4,598 3,646 2,283 2,484 2,190 1,764 1,217 1,503 1,192 1,187 1,162 959 810 815

Barique 5,232 614 629 656 458 267 392 349 274 216 249 193 227 272 168 113 155

Laclo 5,854 758 810 828 572 439 456 391 263 195 259 183 135 146 137 157 125

Laclubar 9,702 1,088 1,323 1,382 1,103 675 655 541 522 367 397 239 284 259 324 284 259

Laleia 3,349 380 350 388 357 219 267 250 167 107 166 153 145 143 97 82 78

Manatuto 6,918 749 762 876 896 501 529 457 358 260 338 307 283 219 145 98 140

Soibada 2,922 339 365 468 260 182 185 202 180 72 94 117 113 123 88 76 58

MANUFAHI 35,282 4,418 4,417 4,669 3,976 2,807 2,693 2,140 1,817 1,149 1,613 982 854 1,027 1,190 795 735

Alas 4,898 875 645 737 504 307 333 246 246 165 210 131 95 117 101 92 94

Fatuberlio 5,897 789 851 756 611 464 453 402 311 123 201 111 117 185 182 178 163

Same 19,270 2,109 2,245 2,519 2,344 1,596 1,511 1,115 997 722 963 576 499 571 705 412 386

Turiscai 5,217 645 676 657 517 440 396 377 263 139 239 164 143 154 202 113 92

OECUSSE 65,214 7,301 8,579 9,617 7,590 3,939 3,975 3,865 3,744 2,934 2,924 2,162 1,596 1,871 2,226 1,855 1,036

Nitibe 11,902 1,366 1,658 1,884 1,236 635 609 607 643 583 628 373 244 342 451 443 200

Oesilo 11,296 1,223 1,464 1,701 1,235 619 649 616 609 436 477 362 290 436 540 380 259

Pante

Macassar 34,063 3,916 4,449 4,702 4,236 2,312 2,316 2,253 2,030 1,496 1,484 1,151 746 858 967 715 432

Passabe 7,953 796 1,008 1,330 883 373 401 389 462 419 335 276 316 235 268 317 145

229 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

VIQUEQUE 62,075 6,696 7,459 8,422 7,430 4,137 3,728 3,109 2,798 3,114 3,486 2,245 1,800 2,000 1,907 1,852 1,892

Lacluta 5,851 655 783 760 687 363 394 322 287 211 320 178 172 200 166 232 121

Ossu 14,557 1,638 1,859 2,078 1,576 866 825 647 597 696 856 578 494 430 405 464 548

Uato-Lari 14,636 1,317 1,619 2,015 2,000 1,050 816 674 606 794 794 524 457 494 511 466 499

Uato-Carbau 7,312 929 969 1,045 772 433 350 301 260 373 385 292 191 230 205 293 284

Viqueque 19,719 2,157 2,229 2,524 2,395 1,425 1,343 1,165 1,048 1,040 1,131 673 486 646 620 397 440

230 | P a g e

Table A.35: Total population of agricultural households by 5-year age group by sex by Municipality/ Sub-municipality: TLAC 2019


Administrative

Age Group (yrs.) – Male Population

Total 0 - 4 5-9 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 +

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

TIMOR-LESTE 384,825 44,673 47,997 52,462 45,052 30,507 27,623 22,763 18,958 14,053 18,380 14,828 12,249 10,377 9,488 8,145 7,270

AILEU 21,540 2,652 2,512 2,722 2,689 1,981 1,813 1,494 1,005 507 878 819 716 594 450 401 307

Aileu Vila 9,316 1,080 1,021 1,162 1,254 921 803 611 414 210 372 377 318 260 219 154 140

Laulara 3,414 450 425 414 352 294 300 253 163 94 158 139 122 92 75 45 38

Lequidoe 3,095 356 322 429 441 334 250 206 145 69 109 102 56 70 55 106 45

Remexio 5,715 766 744 717 642 432 460 424 283 134 239 201 220 172 101 96 84

AINARO 22,613 2,814 3,130 3,426 2,545 1,736 1,479 1,196 1,090 865 1,139 859 493 401 390 684 366

Ainaro Vila 5,669 685 758 919 746 436 323 263 270 214 262 217 125 104 104 142 101

Hato-Udo 4,783 497 615 705 577 330 292 238 316 238 242 186 102 90 89 179 87

Hato-Builico 4,507 613 668 693 476 338 274 228 180 181 242 182 99 68 66 126 73

Maubisse 7,654 1,019 1,089 1,109 746 632 590 467 324 232 393 274 167 139 131 237 105

BAUCAU 49,171 5,761 6,032 6,566 5,591 3,797 3,309 2,533 2,009 1,554 2,424 2,132 2,035 1,595 1,546 1,051 1,236

Baguia 5,096 585 666 692 561 464 361 244 122 127 203 233 243 183 172 91 149

Baucau 17,224 1,950 1,952 2,211 2,135 1,410 1,286 929 852 612 867 725 648 480 469 331 367

Laga 7,507 963 944 1,005 787 510 513 387 276 241 339 328 389 262 246 135 182

Quelicai 7,839 911 1,039 1,084 802 538 428 326 261 244 413 344 371 291 314 233 240

Vemasse 4,181 535 518 541 422 305 288 259 206 135 218 188 161 119 118 70 98

Vemasse 7,324 817 913 1,033 884 570 433 388 292 195 384 314 223 260 227 191 200

231 | P a g e

Male Population Table A.35 contd………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

BOBONARO 37,943 4,238 4,762 5,252 4,150 2,529 2,637 2,304 2,145 1,432 1,701 1,585 1,406 1,063 953 921 865

Atabae 5,683 582 639 887 712 442 412 346 296 238 255 240 189 93 146 114 92

Balibo 6,710 762 878 934 694 398 483 407 435 291 335 273 239 152 117 165 147

Bobonaro 9,406 1,173 1,278 1,277 871 539 648 510 511 307 393 360 329 299 296 297 318

Cailaco 4,858 553 647 651 528 317 342 296 205 180 213 242 184 155 125 107 113

Lolotoe 3,664 424 448 507 325 240 229 237 253 97 144 165 129 138 110 118 100

Maliana 7,622 744 872 996 1,020 593 523 508 445 319 361 305 336 226 159 120 95

COVALIMA 26,788 3,059 3,158 3,374 3,140 2,122 1,933 1,569 1,472 1,001 1,430 1,069 841 675 705 710 530

Fatululic 979 117 87 144 108 75 71 56 47 41 68 22 28 27 19 34 35

Fatumean 1,536 190 200 227 125 95 95 79 81 64 84 44 20 31 56 91 54

Fohorem 1,503 159 144 191 162 98 111 65 63 60 97 78 52 60 53 49 61

Maucatar 4,077 463 511 487 486 329 303 247 221 136 214 173 146 90 95 97 79

Suai 9,334 976 988 1,112 1,236 814 654 571 565 371 488 440 352 248 201 178 140

Tilomar 3,730 440 484 514 379 278 260 189 191 171 247 148 101 84 76 101 67

Zumalai 5,629 714 744 699 644 433 439 362 304 158 232 164 142 135 205 160 94

DILI 23,835 2,275 2,297 2,612 2,997 2,884 2,531 1,869 1,358 957 1,035 876 721 566 388 234 235

Atauro 3,495 310 345 424 454 271 279 238 277 180 163 140 131 88 72 68 55

Cristo Rei 8,935 919 897 981 1,140 1,155 961 701 476 329 363 297 261 191 124 62 78

Dom Aleixo 6,049 586 605 639 753 819 675 485 292 230 268 214 174 132 89 41 47

Metinaro 1,331 84 108 177 167 137 134 112 75 53 66 77 35 45 26 21 14

Nain Feto 1,404 101 100 137 192 171 182 113 79 53 61 65 46 45 26 19 14

Vera Cruz 2,621 275 242 254 291 331 300 220 159 112 114 83 74 65 51 23 27

ERMERA 47,168 5,381 5,920 6,530 5,769 4,383 3,685 2,930 2,279 1,697 2,181 1,918 1,396 1,180 874 545 500

Atsabe 6,652 744 793 867 750 572 542 317 322 309 326 323 201 177 178 127 104

Ermera 12,031 1,175 1,333 1,700 1,680 1,246 884 758 632 552 596 456 349 250 172 120 128

Hatulia 14,790 1,832 2,064 2,189 1,637 1,281 1,139 925 698 410 640 568 401 383 296 170 157

Letefoho 9,522 1,085 1,208 1,287 1,187 868 746 601 430 329 473 390 327 260 168 86 77

Railaco 4,173 545 522 487 515 416 374 329 197 97 146 181 118 110 60 42 34

232 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

LAUTEM 26,252 3,082 3,607 3,972 3,315 1,955 1,534 1,065 899 1,085 1,503 1,157 911 628 602 414 523

Iliomar 3,138 368 491 534 328 107 114 109 107 159 227 183 115 99 68 52 77

Lautem 6,717 742 924 1,010 754 521 469 339 228 291 362 269 217 175 189 105 122

Lospalos 11,855 1,374 1,555 1,718 1,718 1,079 721 431 410 462 647 484 411 233 236 156 220

Luro 3,496 463 482 552 396 186 180 155 102 136 216 168 132 95 84 76 73

Tutuala 1,046 135 155 158 119 62 50 31 52 37 51 53 36 26 25 25 31

LIQUICA 30,979 4,041 3,794 3,930 3,349 2,578 2,551 2,306 1,698 847 1,206 1,020 909 892 694 669 495

Bazartete 13,080 1,699 1,594 1,606 1,587 1,168 1,151 1,020 701 332 486 416 365 328 253 216 158

Liquica 7,866 1,078 947 1,004 780 639 637 626 453 155 271 260 276 257 181 166 136

Maubara 10,033 1,264 1,253 1,320 982 771 763 660 544 360 449 344 268 307 260 287 201

MANATUTO 17,135 2,029 2,172 2,412 1,828 1,137 1,197 1,070 905 605 782 607 618 547 433 390 403

Barique 2,671 329 341 346 233 146 177 158 131 121 138 99 125 126 78 50 73

Laclo 2,887 370 373 440 262 204 212 192 143 104 136 99 69 72 64 76 71

Laclubar 4,822 551 709 711 542 338 323 265 246 176 199 112 151 106 130 133 130

Laleia 1,717 198 173 214 196 103 137 130 89 51 89 77 67 65 45 47 36

Manatuto 3,553 403 397 462 456 261 250 224 186 121 179 166 150 107 78 48 65

Soibada 1,485 178 179 239 139 85 98 101 110 32 41 54 56 71 38 36 28

MANUFAHI 17,950 2,257 2,305 2,411 2,092 1,456 1,324 1,076 923 574 802 533 433 457 556 384 367

Alas 2,529 504 352 404 299 147 171 101 95 73 93 66 46 50 50 34 44

Fatuberlio 2,854 405 448 377 346 227 199 171 157 52 85 60 53 66 69 69 70

Same 9,860 1,042 1,148 1,268 1,188 858 762 593 527 377 503 319 262 269 329 215 200

Turiscai 2,707 306 357 362 259 224 192 211 144 72 121 88 72 72 108 66 53

OECUSSE 32,611 3,666 4,447 4,878 3,776 1,934 1,888 1,903 1,847 1,448 1,486 1,122 832 878 1,063 917 526

Nitibe 5,966 669 882 989 622 318 298 292 307 280 290 180 133 165 222 215 104

Oesilo 5,569 621 742 845 605 292 315 293 291 218 243 185 145 210 254 181 129

Pante Macassar

17,183 1,968 2,315 2,401 2,113 1,135 1,078 1,120 1,044 754 779 618 400 411 460 361 226

Passabe 3,893 408 508 643 436 189 197 198 205 196 174 139 154 92 127 160 67

233 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

VIQUEQUE 30,840 3,418 3,861 4,377 3,811 2,015 1,742 1,448 1,328 1,481 1,813 1,131 938 901 834 825 917

Lacluta 2,991 313 409 408 351 188 187 158 153 115 176 101 78 89 86 119 60

Ossu 7,194 817 988 1,024 832 431 390 295 275 342 435 253 260 203 173 215 261

Uato-Lari 7,145 696 840 1,070 1,020 502 379 308 257 325 403 267 248 192 216 182 240

Uato-Carbau 3,598 490 483 513 374 206 174 147 117 181 187 156 94 109 92 133 142

Viqueque 9,912 1,102 1,141 1,362 1,234 688 612 540 526 518 612 354 258 308 267 176 214

234 | P a g e

Table A.35: Total population of agricultural households by 5-year age group by sex by Municipality/ Sub-municipality: TLAC 2019


Administrative

Age Group (yrs.) – Female Population

Total 0 - 4 5-9 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 +

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

TIMOR-LESTE 379,391 43,110 45,242 49,614 43,024 30,735 29,114 23,682 19,540 15,042 17,459 13,588 11,363 11,263 10,460 8,758 7,397

AILEU 20,288 2,516 2,381 2,561 2,504 1,873 1,806 1,386 1,048 568 806 702 626 502 424 358 227

Aileu Vila 8,728 1,024 1,023 998 1,145 879 780 567 424 247 378 294 284 228 217 134 106

Laulara 3,123 382 360 408 326 292 302 218 165 108 131 136 106 58 56 43 32

Lequidoe 3,037 346 328 407 415 271 263 225 167 89 110 95 68 67 50 98 38

Remexio 5,400 764 670 748 618 431 461 376 292 124 187 177 168 149 101 83 51

AINARO 21,289 2,629 2,772 3,048 2,366 1,649 1,428 1,205 1,116 896 937 632 438 479 474 841 379

Ainaro Vila 5,335 657 685 780 679 413 327 279 263 229 208 162 103 118 134 215 83

Hato-Udo 4,563 487 547 615 507 299 322 276 296 213 221 126 88 104 107 229 126

Hato-Builico 4,293 538 611 682 427 309 273 223 224 191 190 135 88 85 91 143 83

Maubisse 7,098 947 929 971 753 628 506 427 333 263 318 209 159 172 142 254 87

BAUCAU 48,450 5,471 5,674 6,135 5,268 3,790 3,517 2,825 2,063 1,795 2,283 2,037 1,844 1,815 1,559 1,109 1,265

Baguia 5,090 592 608 645 587 441 332 240 149 176 235 243 232 196 167 107 140

Baucau 17,027 1,924 1,779 2,163 2,018 1,464 1,385 1,072 882 685 751 612 556 564 458 346 368

Laga 7,527 900 966 900 725 570 599 426 274 267 335 323 318 298 251 157 218

Quelicai 7,894 876 956 976 731 550 489 405 280 279 407 370 364 375 375 225 236

Vemasse 3,972 484 489 510 411 297 290 263 200 125 204 168 145 121 86 88 91

Vemasse 6,940 695 876 941 796 468 422 419 278 263 351 321 229 261 222 186 212

BOBONARO 38,063 4,233 4,537 5,116 3,843 2,655 2,888 2,546 2,160 1,517 1,772 1,500 1,333 1,135 1,064 921 843

Atabae 5,387 585 578 805 643 394 428 365 254 275 233 201 169 110 142 115 90

Balibo 6,665 771 818 933 610 440 503 444 419 290 330 265 187 185 165 162 143

Bobonaro 9,625 1,169 1,196 1,239 812 659 689 585 546 318 425 354 397 295 306 314 321

Cailaco 4,860 519 625 642 414 367 400 304 245 219 269 194 175 167 139 92 89

Lolotoe 3,662 413 444 458 283 230 274 283 236 93 154 163 155 138 120 131 87

Maliana 7,864 776 876 1,039 1,081 565 594 565 460 322 361 323 250 240 192 107 113

235 | P a g e

Female Population Table A.35 contd………

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

COVALIMA 26,343 3,075 3,116 3,232 2,776 2,015 1,926 1,636 1,585 1,088 1,277 912 749 724 917 770 545

Fatululic 992 131 120 124 83 64 69 64 37 50 66 23 29 30 26 51 25

Fatumean 1,520 172 211 199 89 104 112 80 102 81 58 31 23 53 81 81 43

Fohorem 1,435 160 143 175 145 104 75 61 81 68 92 62 60 60 67 44 38

Maucatar 3,989 474 457 484 394 310 304 265 235 146 205 156 133 106 115 99 106

Suai 9,222 979 1,009 1,098 1,165 737 667 587 614 403 449 365 286 215 273 209 166

Tilomar 3,680 423 494 483 346 261 268 222 206 202 201 111 83 85 100 118 77

Zumalai 5,505 736 682 669 554 435 431 357 310 138 206 164 135 175 255 168 90

DILI 23,197 2,212 2,110 2,460 3,043 3,023 2,520 1,781 1,286 897 1,015 811 621 566 344 235 273

Atauro 3,805 320 313 410 445 323 337 295 262 223 196 157 155 123 83 76 87

Cristo Rei 8,297 909 846 877 1,078 1,073 942 664 424 285 333 257 194 184 104 60 67

Dom Aleixo 5,834 535 542 604 821 916 630 417 315 221 249 188 141 103 66 38 48

Metinaro 1,312 89 81 172 179 164 151 96 77 36 76 46 26 44 29 21 25

Nain Feto 1,310 75 80 135 169 193 177 122 64 48 57 58 39 40 25 13 15

Vera Cruz 2,639 284 248 262 351 354 283 187 144 84 104 105 66 72 37 27 31

ERMERA 46,649 5,200 5,631 6,378 5,784 4,437 3,906 2,919 2,433 1,754 1,999 1,739 1,323 1,188 947 544 467

Atsabe 6,676 627 705 887 797 613 619 405 349 281 320 289 174 182 178 138 112

Ermera 11,699 1,118 1,349 1,567 1,648 1,212 933 754 670 543 477 401 328 274 194 105 126

Hatulia 14,856 1,889 1,975 2,154 1,652 1,388 1,143 920 762 471 612 523 425 339 299 159 145

Letefoho 9,318 1,051 1,153 1,263 1,176 830 786 554 433 357 436 386 262 278 199 99 55

Railaco 4,100 515 449 507 511 394 425 286 219 102 154 140 134 115 77 43 29

LAUTEM 26,824 3,008 3,440 3,810 3,038 1,949 1,620 1,294 1,165 1,353 1,491 1,073 921 781 727 527 627

Iliomar 3,354 387 485 548 306 121 145 139 156 188 216 148 128 135 95 82 75

Lautem 6,645 716 871 928 688 495 466 348 277 358 350 245 198 204 219 134 148

Lospalos 12,338 1,355 1,442 1,679 1,625 1,070 803 583 537 587 652 484 438 317 292 195 279

Luro 3,354 429 475 491 341 209 161 167 141 155 197 134 112 87 90 88 77

Tutuala 1,133 121 167 164 78 54 45 57 54 65 76 62 45 38 31 28 48

236 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

LIQUICA 30,276 3,793 3,672 3,646 3,267 2,720 2,774 2,283 1,564 868 1,236 994 892 796 608 657 506

Bazartete 12,722 1,549 1,518 1,550 1,526 1,210 1,238 969 642 339 491 413 351 310 242 196 178

Liquica 7,799 1,045 974 906 767 700 703 590 429 177 319 278 285 216 163 141 106

Maubara 9,755 1,199 1,180 1,190 974 810 833 724 493 352 426 303 256 270 203 320 222

MANATUTO 16,842 1,899 2,067 2,186 1,818 1,146 1,287 1,120 859 612 721 585 569 615 526 420 412

Barique 2,561 285 288 310 225 121 215 191 143 95 111 94 102 146 90 63 82

Laclo 2,967 388 437 388 310 235 244 199 120 91 123 84 66 74 73 81 54

Laclubar 4,880 537 614 671 561 337 332 276 276 191 198 127 133 153 194 151 129

Laleia 1,632 182 177 174 161 116 130 120 78 56 77 76 78 78 52 35 42

Manatuto 3,365 346 365 414 440 240 279 233 172 139 159 141 133 112 67 50 75

Soibada 1,437 161 186 229 121 97 87 101 70 40 53 63 57 52 50 40 30

MANUFAHI 17,332 2,161 2,112 2,258 1,884 1,351 1,369 1,064 894 575 811 449 421 570 634 411 368

Alas 2,369 371 293 333 205 160 162 145 151 92 117 65 49 67 51 58 50

Fatuberlio 3,043 384 403 379 265 237 254 231 154 71 116 51 64 119 113 109 93

Same 9,410 1,067 1,097 1,251 1,156 738 749 522 470 345 460 257 237 302 376 197 186

Turiscai 2,510 339 319 295 258 216 204 166 119 67 118 76 71 82 94 47 39

OECUSSE 32,603 3,635 4,132 4,739 3,814 2,005 2,087 1,962 1,897 1,486 1,438 1,040 764 993 1,163 938 510

Nitibe 5,936 697 776 895 614 317 311 315 336 303 338 193 111 177 229 228 96

Oesilo 5,727 602 722 856 630 327 334 323 318 218 234 177 145 226 286 199 130

Pante Macassar

16,880 1,948 2,134 2,301 2,123 1,177 1,238 1,133 986 742 705 533 346 447 507 354 206

Passabe 4,060 388 500 687 447 184 204 191 257 223 161 137 162 143 141 157 78

237 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12) (13) (14) (15) (16) (17) (18)

VIQUEQUE 31,235 3,278 3,598 4,045 3,619 2,122 1,986 1,661 1,470 1,633 1,673 1,114 862 1,099 1,073 1,027 975

Lacluta 2,860 342 374 352 336 175 207 164 134 96 144 77 94 111 80 113 61

Ossu 7,363 821 871 1,054 744 435 435 352 322 354 421 325 234 227 232 249 287

Uato-Lari 7,491 621 779 945 980 548 437 366 349 469 391 257 209 302 295 284 259

Uato-Carbau 3,714 439 486 532 398 227 176 154 143 192 198 136 97 121 113 160 142

Viqueque 9,807 1,055 1,088 1,162 1,161 737 731 625 522 522 519 319 228 338 353 221 226

238 | P a g e

Table A.36: Population (3+ Years) of agricultural households by education level by sex by Municipality/ Sub-municipality: TLAC 2019

Municipality and Post Administrative

Education Level – All Population

Total Pre school/

kindergarten Primary

Pre Secondary

Secondary Diploma University No

Schooling Do not know

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

TIMOR-LESTE 716,001 43,138 187,515 100,268 110,371 13,495 24,273 217,743 19,198

AILEU 38,854 4,711 10,233 5,335 5,939 596 1,006 10,564 470

Aileu Vila 16,818 1,223 4,472 2,608 3,208 320 512 4,180 295

Laulara 6,081 1,204 1,305 672 912 52 142 1,761 33

Lequidoe 5,700 361 1,854 980 776 117 154 1,398 60

Remexio 10,255 1,923 2,602 1,075 1,043 107 198 3,225 82

AINARO 40,950 6,889 7,433 4,670 5,472 707 1,041 13,700 1,038

Ainaro Vila 10,277 1,696 1,745 1,403 1,952 125 378 2,681 297

Hato-Udo 8,824 1,025 1,605 1,134 1,286 433 253 2,988 100

Hato-Builico 8,190 1,496 1,665 848 994 42 216 2,738 191

Maubisse 13,659 2,672 2,418 1,285 1,240 107 194 5,293 450

BAUCAU 91,398 5,855 23,027 13,166 14,377 1,613 2,908 28,807 1,645

Baguia 9,536 312 2,501 1,293 1,197 167 508 3,434 124

Baucau 32,037 3,412 6,570 4,995 6,463 648 1,232 8,283 434

Laga 14,021 365 3,914 1,893 1,702 278 298 5,107 464

Quelicai 14,770 374 4,062 1,763 1,786 238 376 6,002 169

Vemasse 7,579 1,277 1,750 941 991 132 140 2,052 296

Vemasse 13,455 115 4,230 2,281 2,238 150 354 3,929 158

BOBONARO 71,475 4,858 18,030 8,532 8,476 1,243 1,581 26,546 2,209

Atabae 10,423 704 2,928 1,253 1,126 106 227 3,437 642

Balibo 12,534 249 4,086 1,553 1,166 205 195 4,912 168

Bobonaro 17,755 2,244 3,456 1,603 1,593 253 248 7,866 492

239 | P a g e

All Population Table A.36 contd……….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Cailaco 9,184 246 2,430 1,045 743 100 222 3,924 474

Lolotoe 6,874 809 2,075 827 930 82 159 1,785 207

Maliana 14,705 606 3,055 2,251 2,918 497 530 4,622 226

COVALIMA 49,710 4,215 10,388 7,133 7,806 869 1,291 14,883 3,125

Fatululic 1,830 385 391 199 239 16 30 442 128

Fatumean 2,862 256 468 232 370 19 54 908 555

Fohorem 2,752 278 427 271 370 44 51 1,297 14

Maucatar 7,548 768 1,302 899 1,116 87 174 1,441 1,761

Suai 17,490 1,442 3,649 2,915 3,271 323 576 5,155 159

Tilomar 6,939 938 1,575 1,086 1,067 72 155 1,976 70

Zumalai 10,289 148 2,576 1,531 1,373 308 251 3,664 438

DILI 44,551 3,107 8,788 6,631 11,697 1,644 4,025 8,038 621

Atauro 6,945 542 1,643 1,157 1,349 77 274 1,821 82

Cristo Rei 16,236 1,207 3,238 2,275 4,059 632 1,400 3,249 176

Dom Aleixo 11,249 830 1,848 1,516 3,306 600 1,404 1,586 159

Metinaro 2,555 140 641 467 610 38 96 559 4

Nain Feto 2,617 157 435 370 869 178 320 247 41

Vera Cruz 4,949 231 983 846 1,504 119 531 576 159

ERMERA 88,133 2,312 24,637 12,096 11,840 1,400 3,055 29,933 2,860

Atsabe 12,607 336 3,104 1,408 1,270 62 306 5,397 724

Ermera 22,510 409 6,082 3,507 4,149 376 1,413 6,057 517

Hatulia 27,660 428 8,435 3,589 2,361 514 560 10,998 775

Letefoho 17,672 724 5,018 2,412 2,451 262 438 5,752 615

Railaco 7,684 415 1,998 1,180 1,609 186 338 1,729 229

LAUTEM 49,839 3,475 14,595 8,184 8,020 862 1,581 12,437 685

Iliomar 6,117 533 2,003 997 625 117 98 1,591 153

Lautem 12,579 244 4,022 2,215 2,114 176 477 3,263 68

240 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Lospalos 22,719 2,501 5,791 3,710 4,362 385 816 4,795 359

Luro 6,373 107 2,081 879 523 152 123 2,447 61

Tutuala 2,051 90 698 383 396 32 67 341 44

LIQUICA 56,931 1,204 16,412 8,005 9,529 1,250 2,142 17,273 1,116

Bazartete 23,962 650 6,418 3,916 5,200 437 1,252 5,702 387

Liquica 14,484 295 4,541 1,848 2,153 588 495 4,477 87

Maubara 18,485 259 5,453 2,241 2,176 225 395 7,094 642

MANATUTO 31,845 1,084 9,216 4,685 4,902 641 760 9,992 565

Barique 4,902 538 1,225 469 558 106 79 1,769 158

Laclo 5,437 20 2,023 817 726 34 112 1,578 127

Laclubar 9,102 104 2,757 1,287 937 135 189 3,647 46

Laleia 3,137 176 705 483 672 73 75 917 36

Manatuto 6,532 245 1,644 1,100 1,499 253 203 1,548 40

Soibada 2,735 1 862 529 510 40 102 533 158

MANUFAHI 32,716 1,270 9,077 5,265 6,173 546 968 9,064 353

Alas 4,276 302 1,477 791 542 36 107 981 40

Fatuberlio 5,466 455 1,509 685 1,083 79 109 1,510 36

Same 18,107 402 4,668 3,122 3,770 280 578 5,047 240

Turiscai 4,867 111 1,423 667 778 151 174 1,526 37

OECUSSE 61,152 1,196 20,041 7,550 6,873 1,039 1,980 18,719 3,754

Nitibe 11,170 221 4,381 1,254 647 94 112 3,648 813

Oesilo 10,630 290 3,856 1,444 863 64 264 3,296 553

Pante Macassar 31,889 632 9,342 4,115 5,016 827 1,505 8,311 2,141

Passabe 7,463 53 2,462 737 347 54 99 3,464 247

VIQUEQUE 58,447 2,962 15,638 9,016 9,267 1,085 1,935 17,787 757

Lacluta 5,488 353 1,508 824 618 58 89 1,962 76

Ossu 13,642 668 3,789 1,968 2,085 191 388 4,377 176

241 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Uato-Lari 13,926 634 3,779 2,443 2,355 288 578 3,591 258

Uato-Carbau 6,801 605 1,761 949 839 112 149 2,310 76

Viqueque 18,590 702 4,801 2,832 3,370 436 731 5,547 171

242 | P a g e

Table A.36: Population (3+ Years) of Agricultural Households by Education Level by sex by Municipality/ Sub-municipality: TLAC 2019


Education Level – Male

Total Pre school/


Pre Secondary



(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

TIMOR-LESTE 360,442 22,697 99,354 48,790 56,838 7,932 14,136 101,661 9,034

AILEU 20,006 2,476 5,644 2,625 3,082 359 560 5,031 229

Aileu Vila 8,679 644 2,481 1,353 1,643 195 260 1,964 139

Laulara 3,159 680 714 334 475 30 81 828 17

Lequidoe 2,875 175 1,043 436 398 64 95 632 32

Remexio 5,293 977 1,406 502 566 70 124 1,607 41

AINARO 21,114 3,792 4,002 2,240 2,847 374 612 6,735 512

Ainaro Vila 5,309 909 918 673 1,035 60 223 1,352 139

Hato-Udo 4,530 564 885 579 647 225 139 1,449 42

Hato-Builico 4,188 816 867 395 528 21 139 1,319 103

Maubisse 7,087 1,503 1,332 593 637 68 111 2,615 228

BAUCAU 46,045 3,190 12,318 6,430 7,117 940 1,615 13,665 770

Baguia 4,778 147 1,367 613 581 109 288 1,619 54

Baucau 16,130 1,885 3,450 2,465 3,144 357 655 3,977 197

Laga 6,995 213 2,059 930 811 161 164 2,433 224

Quelicai 7,357 185 2,207 844 928 145 223 2,748 77

Vemasse 3,891 703 869 437 525 69 85 1,063 140

Vemasse 6,894 57 2,366 1,141 1,128 99 200 1,825 78

BOBONARO 35,673 2,520 9,348 4,001 4,525 756 926 12,576 1,021

Atabae 5,340 392 1,537 590 626 70 139 1,676 310

Balibo 6,298 118 2,136 694 613 121 114 2,413 89

Bobonaro 8,769 1,179 1,768 751 880 165 171 3,632 223

243 | P a g e

Male Table A.36 contd……….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Cailaco 4,587 122 1,286 486 415 68 127 1,860 223

Lolotoe 3,433 412 1,043 382 540 58 95 820 83

Maliana 7,246 297 1,578 1,098 1,451 274 280 2,175 93

COVALIMA 25,070 2,096 5,378 3,370 4,298 543 755 7,139 1,491

Fatululic 912 188 199 96 150 8 16 196 59

Fatumean 1,437 135 227 109 212 12 42 395 305

Fohorem 1,408 131 224 123 209 28 36 654 3

Maucatar 3,816 395 690 441 643 54 103 663 827

Suai 8,794 714 1,883 1,374 1,740 212 304 2,497 70

Tilomar 3,495 462 766 506 604 46 99 986 26

Zumalai 5,208 71 1,389 721 740 183 155 1,748 201

DILI 22,587 1,638 4,757 3,235 6,007 869 2,131 3,665 285

Atauro 3,314 281 853 536 704 45 201 667 27

Cristo Rei 8,439 635 1,799 1,138 2,107 345 753 1,580 82

Dom Aleixo 5,718 437 995 749 1,667 307 710 774 79

Metinaro 1,290 81 361 213 317 16 49 252 1

Nain Feto 1,351 88 234 186 451 87 149 132 24

Vera Cruz 2,475 116 515 413 761 69 269 260 72

ERMERA 44,311 1,189 13,322 6,036 6,167 822 1,856 13,623 1,296

Atsabe 6,282 182 1,680 660 660 37 178 2,550 335

Ermera 11,417 184 3,273 1,791 2,141 213 861 2,719 235

Hatulia 13,825 216 4,488 1,810 1,298 311 365 4,990 347

Letefoho 8,927 378 2,797 1,190 1,264 154 256 2,621 267

Railaco 3,860 229 1,084 585 804 107 196 743 112

244 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

LAUTEM 24,606 1,823 7,586 3,989 3,955 563 960 5,445 285

Iliomar 2,949 268 1,035 455 340 79 60 661 51

Lautem 6,314 112 2,122 1,106 1,093 136 320 1,403 22

Lospalos 11,124 1,345 2,974 1,772 2,090 225 461 2,096 161

Luro 3,242 56 1,115 457 261 101 75 1,144 33

Tutuala 977 42 340 199 171 22 44 141 18

LIQUICA 28,732 643 8,771 4,147 4,856 711 1,223 7,852 529

Bazartete 12,114 352 3,422 2,030 2,623 240 696 2,561 190

Liquica 7,270 156 2,416 955 1,076 339 293 1,990 45

Maubara 9,348 135 2,933 1,162 1,157 132 234 3,301 294

MANATUTO 16,059 566 4,869 2,289 2,542 353 436 4,733 271

Barique 2,484 277 634 229 327 68 44 824 81

Laclo 2,687 7 1,065 364 363 21 55 757 55

Laclubar 4,529 61 1,487 608 501 77 120 1,657 18

Laleia 1,613 93 365 243 363 34 40 455 20

Manatuto 3,359 127 872 574 735 126 114 791 20

Soibada 1,387 1 446 271 253 27 63 249 77

MANUFAHI 16,653 632 4,897 2,606 3,099 312 580 4,350 177

Alas 2,166 154 781 385 269 17 66 475 19

Fatuberlio 2,643 222 802 317 503 59 57 670 13

Same 9,300 194 2,500 1,573 1,942 158 346 2,459 128

Turiscai 2,544 62 814 331 385 78 111 746 17

OECUSSE 30,606 658 10,192 3,456 3,554 604 1,314 8,989 1,839

Nitibe 5,619 118 2,317 579 349 65 78 1,705 408

Oesilo 5,241 164 1,945 653 437 44 172 1,570 256

Pante Macassar 16,104 345 4,732 1,892 2,556 453 995 4,067 1,064

Passabe 3,642 31 1,198 332 212 42 69 1,647 111

245 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

VIQUEQUE 28,980 1,474 8,270 4,366 4,789 726 1,168 7,858 329

Lacluta 2,813 178 806 446 360 43 55 890 35

Ossu 6,734 314 2,020 965 1,067 132 242 1,915 79

Uato-Lari 6,763 318 1,997 1,146 1,153 203 337 1,494 115

Uato-Carbau 3,322 320 877 388 454 78 108 1,066 31

Viqueque 9,348 344 2,570 1,421 1,755 270 426 2,493 69

246 | P a g e

Table A.36: Population (3+ Years) of agricultural households by education level by sex by Municipality/ Sub-municipality: TLAC 2019


Education Level – Female

Total Pre school/


Pre Secondary



(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

TIMOR-LESTE 355,559 20,441 88,161 51,478 53,533 5,563 10,137 116,082 10,164

AILEU 18,848 2,235 4,589 2,710 2,857 237 446 5,533 241

Aileu Vila 8,139 579 1,991 1,255 1,565 125 252 2,216 156

Laulara 2,922 524 591 338 437 22 61 933 16

Lequidoe 2,825 186 811 544 378 53 59 766 28

Remexio 4,962 946 1,196 573 477 37 74 1,618 41

AINARO 19,836 3,097 3,431 2,430 2,625 333 429 6,965 526

Ainaro Vila 4,968 787 827 730 917 65 155 1,329 158

Hato-Udo 4,294 461 720 555 639 208 114 1,539 58

Hato-Builico 4,002 680 798 453 466 21 77 1,419 88

Maubisse 6,572 1,169 1,086 692 603 39 83 2,678 222

BAUCAU 45,353 2,665 10,709 6,736 7,260 673 1,293 15,142 875

Baguia 4,758 165 1,134 680 616 58 220 1,815 70

Baucau 15,907 1,527 3,120 2,530 3,319 291 577 4,306 237

Laga 7,026 152 1,855 963 891 117 134 2,674 240

Quelicai 7,413 189 1,855 919 858 93 153 3,254 92

Vemasse 3,688 574 881 504 466 63 55 989 156

Vemasse 6,561 58 1,864 1,140 1,110 51 154 2,104 80

BOBONARO 35,802 2,338 8,682 4,531 3,951 487 655 13,970 1,188

Atabae 5,083 312 1,391 663 500 36 88 1,761 332

Balibo 6,236 131 1,950 859 553 84 81 2,499 79

Bobonaro 8,986 1,065 1,688 852 713 88 77 4,234 269

247 | P a g e

Female Table A.36 contd……….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

Cailaco 4,597 124 1,144 559 328 32 95 2,064 251

Lolotoe 3,441 397 1,032 445 390 24 64 965 124

Maliana 7,459 309 1,477 1,153 1,467 223 250 2,447 133

COVALIMA 24,640 2,119 5,010 3,763 3,508 326 536 7,744 1,634

Fatululic 918 197 192 103 89 8 14 246 69

Fatumean 1,425 121 241 123 158 7 12 513 250

Fohorem 1,344 147 203 148 161 16 15 643 11

Maucatar 3,732 373 612 458 473 33 71 778 934

Suai 8,696 728 1,766 1,541 1,531 111 272 2,658 89

Tilomar 3,444 476 809 580 463 26 56 990 44

Zumalai 5,081 77 1,187 810 633 125 96 1,916 237

DILI 21,964 1,469 4,031 3,396 5,690 775 1,894 4,373 336

Atauro 3,631 261 790 621 645 32 73 1,154 55

Cristo Rei 7,797 572 1,439 1,137 1,952 287 647 1,669 94

Dom Aleixo 5,531 393 853 767 1,639 293 694 812 80

Metinaro 1,265 59 280 254 293 22 47 307 3

Nain Feto 1,266 69 201 184 418 91 171 115 17

Vera Cruz 2,474 115 468 433 743 50 262 316 87

ERMERA 43,822 1,123 11,315 6,060 5,673 578 1,199 16,310 1,564

Atsabe 6,325 154 1,424 748 610 25 128 2,847 389

Ermera 11,093 225 2,809 1,716 2,008 163 552 3,338 282

Hatulia 13,835 212 3,947 1,779 1,063 203 195 6,008 428

Letefoho 8,745 346 2,221 1,222 1,187 108 182 3,131 348

Railaco 3,824 186 914 595 805 79 142 986 117

248 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

LAUTEM 25,233 1,652 7,009 4,195 4,065 299 621 6,992 400

Iliomar 3,168 265 968 542 285 38 38 930 102

Lautem 6,265 132 1,900 1,109 1,021 40 157 1,860 46

Lospalos 11,595 1,156 2,817 1,938 2,272 160 355 2,699 198

Luro 3,131 51 966 422 262 51 48 1,303 28

Tutuala 1,074 48 358 184 225 10 23 200 26

LIQUICA 28,199 561 7,641 3,858 4,673 539 919 9,421 587

Bazartete 11,848 298 2,996 1,886 2,577 197 556 3,141 197

Liquica 7,214 139 2,125 893 1,077 249 202 2,487 42

Maubara 9,137 124 2,520 1,079 1,019 93 161 3,793 348

MANATUTO 15,786 518 4,347 2,396 2,360 288 324 5,259 294

Barique 2,418 261 591 240 231 38 35 945 77

Laclo 2,750 13 958 453 363 13 57 821 72

Laclubar 4,573 43 1,270 679 436 58 69 1,990 28

Laleia 1,524 83 340 240 309 39 35 462 16

Manatuto 3,173 118 772 526 764 127 89 757 20

Soibada 1,348 0 416 258 257 13 39 284 81

MANUFAHI 16,063 638 4,180 2,659 3,074 234 388 4,714 176

Alas 2,110 148 696 406 273 19 41 506 21

Fatuberlio 2,823 233 707 368 580 20 52 840 23

Same 8,807 208 2,168 1,549 1,828 122 232 2,588 112

Turiscai 2,323 49 609 336 393 73 63 780 20

OECUSSE 30,546 538 9,849 4,094 3,319 435 666 9,730 1,915

Nitibe 5,551 103 2,064 675 298 29 34 1,943 405

Oesilo 5,389 126 1,911 791 426 20 92 1,726 297

Pante Macassar 15,785 287 4,610 2,223 2,460 374 510 4,244 1,077

Passabe 3,821 22 1,264 405 135 12 30 1,817 136

249 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10)

VIQUEQUE 29,467 1,488 7,368 4,650 4,478 359 767 9,929 428

Lacluta 2,675 175 702 378 258 15 34 1,072 41

Ossu 6,908 354 1,769 1,003 1,018 59 146 2,462 97

Uato-Lari 7,163 316 1,782 1,297 1,202 85 241 2,097 143

Uato-Carbau 3,479 285 884 561 385 34 41 1,244 45

Viqueque 9,242 358 2,231 1,411 1,615 166 305 3,054 102

250 | P a g e

Table A.37: Population (10+ Years) of agricultural households by status of main economic activity by sex by Municipality/ Sub-municipality: TLAC 2019


Status of main economic activity – All Population

Total Employer Employee

Self-Employed/

Own-Account Worker

Unpaid Family Worker/

Contributing Family Worker

Unemployed/ Looking For

Work

Homemaker /Housewife

Student (FullTime)

Retired Disabled Others

(specify)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Timor Leste 583,194 28,186 19,606 104,743 31,324 30,420 137,208 196,372 3,358 6,345 25,632

AILEU 31,767 930 759 7,379 1,199 2,043 6,978 10,740 301 285 1,153

Aileu Vila 13,896 673 251 3,033 430 923 2,857 4,883 183 149 514

Laulara 4,920 26 256 1,093 321 335 1,122 1,528 12 42 185

Lequidoe 4,780 110 27 859 316 354 1,089 1,791 77 27 130

Remexio 8,171 121 225 2,394 132 431 1,910 2,538 29 67 324

AINARO 32,557 904 504 7,009 3,271 1,779 6,092 11,170 110 275 1,443

Ainaro Vila 8,219 316 85 1,220 277 514 1,813 3,277 19 52 646

Hato-Udo 7,200 295 92 1,231 721 610 1,543 2,331 37 68 272

Hato-Builico 6,370 207 112 1,893 719 219 811 2,170 17 54 168

Maubisse 10,768 86 215 2,665 1,554 436 1,925 3,392 37 101 357

BAUCAU 74,683 2,377 2,189 16,167 4,735 3,728 16,202 24,834 433 1,110 2,908

Baguia 7,735 182 144 1,831 834 410 1,197 2,794 24 47 272

Baucau 26,646 1,356 1,338 3,741 1,437 1,678 5,910 9,328 200 465 1,193

Laga 11,261 223 104 3,229 432 525 2,822 3,232 14 200 480

Quelicai 11,951 258 211 2,660 1,156 488 2,629 3,832 79 211 427

Vemasse 6,127 88 199 1,452 435 330 1,360 1,950 41 90 182

Vemasse 10,963 270 193 3,254 441 297 2,284 3,698 75 97 354

BOBONARO 58,236 2,394 2,935 9,560 5,272 2,782 14,726 16,661 297 621 2,988

Atabae 8,686 135 182 1,459 301 299 2,182 2,935 80 159 954

Balibo 10,146 650 1,436 906 954 382 2,579 2,592 17 106 524

Bobonaro 14,215 552 163 3,524 1,452 669 3,580 3,574 50 115 536

251 | P a g e

All Population Table A.37 contd……

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Cailaco 7,374 417 150 1,714 465 130 2,078 1,999 24 94 303

Lolotoe 5,597 227 203 597 1,017 392 1,408 1,498 28 61 166

Maliana 12,218 413 801 1,360 1,083 910 2,899 4,063 98 86 505

COVALIMA 40,723 2,846 1,133 6,389 2,065 3,018 10,615 11,499 121 422 2,615

Fatululic 1,516 123 59 134 121 123 349 443 0 22 142

Fatumean 2,283 218 58 384 175 90 681 507 3 18 149

Fohorem 2,332 158 16 507 232 115 599 551 2 19 133

Maucatar 6,161 154 272 1,438 46 482 1,551 1,549 35 78 556

Suai 14,604 1,325 467 1,769 915 1,363 3,618 4,622 32 77 416

Tilomar 5,569 449 125 935 251 403 1,426 1,632 22 123 203

Zumalai 8,258 419 136 1,222 325 442 2,391 2,195 27 85 1,016

DILI 38,138 2,152 3,338 4,361 908 3,059 7,551 14,627 154 215 1,773

Atauro 6,012 242 216 1,190 410 287 1,677 1,845 13 16 116

Cristo Rei 13,661 621 1,057 1,709 187 1,083 2,685 5,601 57 73 588

Dom Aleixo 9,615 735 963 888 98 926 1,499 4,030 39 51 386

Metinaro 2,281 219 230 250 123 25 560 817 1 37 19

Nain Feto 2,358 111 341 189 9 258 398 925 15 15 97

Vera Cruz 4,211 224 531 135 81 480 732 1,409 29 23 567

ERMERA 71,685 3,869 1,440 12,512 3,453 3,212 16,825 25,879 477 635 3,383

Atsabe 10,459 214 114 2,362 889 581 2,463 3,108 49 123 556

Ermera 18,755 731 456 3,589 378 660 4,213 7,583 166 142 837

Hatulia 21,886 1,732 323 2,727 1,145 1,121 5,530 7,659 181 212 1,256

Letefoho 14,343 921 284 2,655 747 502 3,184 5,346 64 97 543

Railaco 6,242 271 263 1,179 294 348 1,435 2,183 17 61 191

252 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

LAUTEM 39,939 1,335 886 5,586 2,576 2,003 9,803 15,285 266 366 1,833

Iliomar 4,761 153 22 1,125 125 64 1,266 1,743 33 46 184

Lautem 10,109 400 201 2,078 350 380 2,406 3,674 126 68 426

Lospalos 18,467 468 528 1,432 1,537 1,356 4,625 7,615 48 161 697

Luro 5,001 38 108 806 499 146 1,120 1,707 57 47 473

Tutuala 1,601 276 27 145 65 57 386 546 2 44 53

LIQUICA 45,955 1,491 1,603 10,573 1,790 2,431 10,347 14,670 303 556 2,191

Bazartete 19,442 709 761 4,421 468 1,040 3,603 7,035 157 189 1,059

Liquica 11,621 224 462 2,512 365 941 2,820 3,449 100 174 574

Maubara 14,892 558 380 3,640 957 450 3,924 4,186 46 193 558

MANATUTO 25,810 2,309 966 3,033 997 966 6,637 8,754 141 331 1,676

Barique 3,989 563 206 210 223 220 1,077 1,094 49 124 223

Laclo 4,286 638 78 472 47 161 1,168 1,528 20 52 122

Laclubar 7,291 388 55 1,208 184 218 1,715 2,652 30 76 765

Laleia 2,619 108 208 366 166 141 745 742 16 13 114

Manatuto 5,407 446 343 459 260 163 1,369 1,962 21 53 331

Soibada 2,218 166 76 318 117 63 563 776 5 13 121

MANUFAHI 26,447 1,256 679 6,019 508 1,425 6,272 8,954 158 235 941

Alas 3,378 117 22 522 97 170 920 1,345 56 20 109

Fatuberlio 4,257 123 130 847 28 238 1,269 1,393 49 66 114

Same 14,916 619 387 3,904 206 685 3,335 4,968 53 124 635

Turiscai 3,896 397 140 746 177 332 748 1,248 0 25 83

OECUSSE 49,334 3,263 1,473 7,861 2,905 1,980 13,372 16,737 194 434 1,115

Nitibe 8,878 691 292 764 1,033 321 2,615 2,905 40 54 163

Oesilo 8,609 323 94 1,709 597 386 2,323 2,912 33 61 171

Pante Macassar 25,698 1,851 1,066 4,129 1,019 1,165 6,614 8,934 115 196 609

Passabe 6,149 398 21 1,259 256 108 1,820 1,986 6 123 172

253 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

VIQUEQUE 47,920 3,060 1,701 8,294 1,645 1,994 11,788 16,562 403 860 1,613

Lacluta 4,413 869 220 496 135 107 939 1,425 10 70 142

Ossu 11,060 334 680 2,295 120 559 2,708 3,913 52 185 214

Uato-Lari 11,700 353 322 2,383 124 391 2,956 4,345 220 246 360

Uato-Carbau 5,414 330 104 666 398 238 1,443 1,886 11 87 251

Viqueque 15,333 1,174 375 2,454 868 699 3,742 4,993 110 272 646

254 | P a g e



Status of Main Economic Activity - Male

Total Employer Employee

Self-Employed/

Own-Account Worker

Unpaid Family Worker/

Contributing Family Worker

Unemploye

d/ Looking For Work

Homemaker/ Housewife

Student (FullTime)


(specify)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Timor Leste 292,155 22,634 15,278 84,378 24,309 21,180 2,297 101,966 2,077 3,265 14,771

AILEU 16,376 695 587 6,004 995 1,381 115 5,576 196 168 659

Aileu Vila 7,215 497 192 2,493 331 595 41 2,584 121 88 273

Laulara 2,539 17 198 852 293 220 14 796 9 26 114

Lequidoe 2,417 82 21 713 263 244 21 921 49 17 86

Remexio 4,205 99 176 1,946 108 322 39 1,275 17 37 186

AINARO 16,669 635 398 5,192 2,273 1,214 94 5,862 67 147 787

Ainaro Vila 4,226 240 69 1,098 217 385 33 1,751 12 28 393

Hato-Udo 3,671 194 82 925 646 388 21 1,241 15 37 122

Hato-Builico 3,226 141 88 1,151 459 143 14 1,100 13 28 89

Maubisse 5,546 60 159 2,018 951 298 26 1,770 27 54 183

BAUCAU 37,378 1,793 1,724 12,343 3,571 2,439 206 12,832 280 574 1,616

Baguia 3,845 114 110 1,172 557 269 14 1,432 16 29 132

Baucau 13,322 1,058 1,058 3,064 1,096 1,133 76 4,742 130 264 701

Laga 5,600 155 72 2,588 354 323 29 1,677 10 99 293

Quelicai 5,889 195 163 1,919 898 295 37 2,031 56 92 203

Vemasse 3,128 68 161 1,262 263 221 17 984 18 42 92

Vemasse 5,594 203 160 2,338 403 198 33 1,966 50 48 195

BOBONARO 28,943 1,881 2,399 7,887 3,877 1,886 290 8,415 167 321 1,820

Atabae 4,462 109 165 1,339 274 176 17 1,546 56 81 699

Balibo 5,070 564 1,190 735 666 265 27 1,265 13 46 299

255 | P a g e

Male Table A.37 contd…..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

Bobonaro 6,955 365 126 2,696 919 442 138 1,885 21 56 307

Cailaco 3,658 329 119 1,504 359 78 23 1,014 17 52 163

Lolotoe 2,792 192 167 503 757 257 20 782 12 35 67

Maliana 6,006 322 632 1,110 902 668 65 1,923 48 51 285

COVALIMA 20,571 2,391 896 5,492 1,619 2,135 273 5,955 56 207 1,547

Fatululic 775 112 44 114 100 83 12 243 0 6 61

Fatumean 1,146 169 46 327 142 62 16 282 1 12 89

Fohorem 1,200 120 13 426 174 87 23 276 2 10 69

Maucatar 3,103 121 199 1,256 28 323 18 818 10 40 290

Suai 7,370 1,156 374 1,473 731 948 69 2,333 19 45 222

Tilomar 2,806 368 103 779 221 286 18 841 12 54 124

Zumalai 4,171 345 117 1,117 223 346 117 1,162 12 40 692

DILI 19,263 1,650 2,412 3,474 678 2,092 130 7,514 116 114 1,083

Atauro 2,840 179 166 925 320 172 30 973 7 2 66

Cristo Rei 7,119 503 786 1,433 148 773 46 2,980 43 41 366

Dom Aleixo 4,858 519 671 685 65 610 31 1,995 30 33 219

Metinaro 1,139 192 218 185 80 17 11 404 0 17 15

Nain Feto 1,203 82 220 138 8 190 6 469 10 12 68

Vera Cruz 2,104 175 351 108 57 330 6 693 26 9 349

ERMERA 35,867 3,160 1,113 10,399 2,668 2,240 220 13,613 274 316 1,864

Atsabe 5,115 178 84 1,729 727 384 33 1,604 37 55 284

Ermera 9,523 586 362 3,118 308 451 49 4,059 89 70 431

Hatulia 10,894 1,491 262 2,410 927 793 76 4,018 109 116 692

Letefoho 7,229 701 218 2,168 513 361 51 2,803 32 51 331

Railaco 3,106 204 187 974 193 251 11 1,129 7 24 126

256 | P a g e

Male Table A.37 contd…..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11) (12)

LAUTEM 19,563 982 707 4,581 2,310 1,460 150 7,953 181 198 1,041

Iliomar 2,279 120 20 950 118 38 21 887 17 25 83

Lautem 5,051 312 161 1,670 284 274 50 1,938 96 40 226

Lospalos 8,926 362 416 1,239 1,397 1,007 47 3,909 28 84 437

Luro 2,551 34 85 599 454 104 28 918 38 26 265

Tutuala 756 154 25 123 57 37 4 301 2 23 30

LIQUICA 23,144 1,233 1,164 8,186 1,240 1,636 166 7,687 197 289 1,346

Bazartete 9,787 622 519 3,035 330 656 52 3,649 96 100 728

Liquica 5,841 172 335 2,088 301 656 28 1,806 72 89 294

Maubara 7,516 439 310 3,063 609 324 86 2,232 29 100 324

MANATUTO 12,934 2,007 774 2,626 917 743 75 4,611 78 157 946

Barique 2,001 487 166 198 207 173 4 576 37 56 97

Laclo 2,144 579 70 406 41 129 16 797 5 29 72

Laclubar 3,562 332 36 991 169 169 23 1,387 18 33 404

Laleia 1,346 78 171 343 159 104 4 412 4 2 69

Manatuto 2,753 397 273 396 235 121 24 1,024 13 30 240

Soibada 1,128 134 58 292 106 47 4 415 1 7 64

MANUFAHI 13,388 930 490 4,885 397 1,051 95 4,755 101 126 558

Alas 1,673 70 11 471 73 136 23 785 27 13 64

Fatuberlio 2,001 86 95 741 27 188 12 729 38 35 50

Same 7,670 476 308 3,079 173 526 40 2,571 36 61 400

Turiscai 2,044 298 76 594 124 201 20 670 0 17 44

OECUSSE 24,498 2,806 1,227 6,702 2,398 1,464 319 8,574 115 242 651

Nitibe 4,415 629 265 680 919 238 34 1,502 25 24 99

Oesilo 4,206 272 78 1,482 434 290 26 1,464 20 35 105

Pante Macassar 12,900 1,536 865 3,430 879 852 238 4,607 68 85 340

Passabe 2,977 369 19 1,110 166 84 21 1,001 2 98 107

257 | P a g e

Male Table A.37contd…..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12)

VIQUEQUE 23,561 2,471 1,387 6,607 1,366 1,439 164 8,619 249 406 853

Lacluta 2,269 635 180 365 105 79 15 771 5 34 80

Ossu 5,389 280 555 1,798 80 410 38 1,982 35 104 107

Uato-Lari 5,609 284 263 1,964 113 276 20 2,273 142 101 173

Uato-Carbau 2,625 282 90 573 373 193 10 937 7 44 116

Viqueque 7,669 990 299 1,907 695 481 81 2,656 60 123 377

258 | P a g e



Administrative

Status of Main Economic Activity - Female

Total Employer Employee Self-Employed/

Own-AccountWorker

Unpaid Family Worker

/Contributing Family Worker

Unemployed/ Looking For

Work

Homemaker/ Housewife

Student (FullTime)


(specify)

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12)

Timor Leste 291,039 5,552 4,328 20,365 7,015 9,240 134,911 94,406 1,281 3,080 10,861

AILEU 15,391 235 172 1,375 204 662 6,863 5,164 105 117 494

Aileu Vila 6,681 176 59 540 99 328 2,816 2,299 62 61 241

Laulara 2,381 9 58 241 28 115 1,108 732 3 16 71

Lequidoe 2,363 28 6 146 53 110 1,068 870 28 10 44

Remexio 3,966 22 49 448 24 109 1,871 1,263 12 30 138

AINARO 15,888 269 106 1,817 998 565 5,998 5,308 43 128 656

Ainaro Vila 3,993 76 16 122 60 129 1,780 1,526 7 24 253

Hato-Udo 3,529 101 10 306 75 222 1,522 1,090 22 31 150 Hato-Builico 3,144 66 24 742 260 76 797 1,070 4 26 79

Maubisse 5,222 26 56 647 603 138 1,899 1,622 10 47 174

BAUCAU 37,305 584 465 3,824 1,164 1,289 15,996 12,002 153 536 1,292

Baguia 3,890 68 34 659 277 141 1,183 1,362 8 18 140

Baucau 13,324 298 280 677 341 545 5,834 4,586 70 201 492

Laga 5,661 68 32 641 78 202 2,793 1,555 4 101 187

Quelicai 6,062 63 48 741 258 193 2,592 1,801 23 119 224

Vemasse 2,999 20 38 190 172 109 1,343 966 23 48 90

Vemasse 5,369 67 33 916 38 99 2,251 1,732 25 49 159

BOBONARO 29,293 513 536 1,673 1,395 896 14,436 8,246 130 300 1,168

Atabae 4,224 26 17 120 27 123 2,165 1,389 24 78 255

Balibo 5,076 86 246 171 288 117 2,552 1,327 4 60 225

Bobonaro 7,260 187 37 828 533 227 3,442 1,689 29 59 229

259 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12)

Cailaco 3,716 88 31 210 106 52 2,055 985 7 42 140

Lolotoe 2,805 35 36 94 260 135 1,388 716 16 26 99

Maliana 6,212 91 169 250 181 242 2,834 2,140 50 35 220

COVALIMA 20,152 455 237 897 446 883 10,342 5,544 65 215 1,068

Fatululic 741 11 15 20 21 40 337 200 0 16 81

Fatumean 1,137 49 12 57 33 28 665 225 2 6 60

Fohorem 1,132 38 3 81 58 28 576 275 0 9 64

Maucatar 3,058 33 73 182 18 159 1,533 731 25 38 266

Suai 7,234 169 93 296 184 415 3,549 2,289 13 32 194

Tilomar 2,763 81 22 156 30 117 1,408 791 10 69 79

Zumalai 4,087 74 19 105 102 96 2,274 1,033 15 45 324

DILI 18,875 502 926 887 230 967 7,421 7,113 38 101 690

Atauro 3,172 63 50 265 90 115 1,647 872 6 14 50

Cristo Rei 6,542 118 271 276 39 310 2,639 2,621 14 32 222 Dom Aleixo 4,757 216 292 203 33 316 1,468 2,035 9 18 167

Metinaro 1,142 27 12 65 43 8 549 413 1 20 4

Nain Feto 1,155 29 121 51 1 68 392 456 5 3 29

Vera Cruz 2,107 49 180 27 24 150 726 716 3 14 218

ERMERA 35,818 709 327 2,113 785 972 16,605 12,266 203 319 1,519

Atsabe 5,344 36 30 633 162 197 2,430 1,504 12 68 272

Ermera 9,232 145 94 471 70 209 4,164 3,524 77 72 406

Hatulia 10,992 241 61 317 218 328 5,454 3,641 72 96 564

Letefoho 7,114 220 66 487 234 141 3,133 2,543 32 46 212

Railaco 3,136 67 76 205 101 97 1,424 1,054 10 37 65

260 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12)

LAUTEM 20,376 353 179 1,005 266 543 9,653 7,332 85 168 792

Iliomar 2,482 33 2 175 7 26 1,245 856 16 21 101

Lautem 5,058 88 40 408 66 106 2,356 1,736 30 28 200

Lospalos 9,541 106 112 193 140 349 4,578 3,706 20 77 260

Luro 2,450 4 23 207 45 42 1,092 789 19 21 208

Tutuala 845 122 2 22 8 20 382 245 0 21 23

LIQUICA 22,811 258 439 2,387 550 795 10,181 6,983 106 267 845

Bazartete 9,655 87 242 1,386 138 384 3,551 3,386 61 89 331

Liquica 5,780 52 127 424 64 285 2,792 1,643 28 85 280

Maubara 7,376 119 70 577 348 126 3,838 1,954 17 93 234

MANATUTO 12,876 302 192 407 80 223 6,562 4,143 63 174 730

Barique 1,988 76 40 12 16 47 1,073 518 12 68 126

Laclo 2,142 59 8 66 6 32 1,152 731 15 23 50

Laclubar 3,729 56 19 217 15 49 1,692 1,265 12 43 361

Laleia 1,273 30 37 23 7 37 741 330 12 11 45

Manatuto 2,654 49 70 63 25 42 1,345 938 8 23 91

Soibada 1,090 32 18 26 11 16 559 361 4 6 57

MANUFAHI 13,059 326 189 1,134 111 374 6,177 4,199 57 109 383

Alas 1,705 47 11 51 24 34 897 560 29 7 45

Fatuberlio 2,256 37 35 106 1 50 1,257 664 11 31 64

Same 7,246 143 79 825 33 159 3,295 2,397 17 63 235

Turiscai 1,852 99 64 152 53 131 728 578 0 8 39

OECUSSE 24,836 457 246 1,159 507 516 13,053 8,163 79 192 464

Nitibe 4,463 62 27 84 114 83 2,581 1,403 15 30 64

Oesilo 4,403 51 16 227 163 96 2,297 1,448 13 26 66 Pante Macassar 12,798 315 201 699 140 313 6,376 4,327 47 111 269

Passabe 3,172 29 2 149 90 24 1,799 985 4 25 65

261 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12)

VIQUEQUE 24,359 589 314 1,687 279 555 11,624 7,943 154 454 760

Lacluta 2,144 234 40 131 30 28 924 654 5 36 62

Ossu 5,671 54 125 497 40 149 2,670 1,931 17 81 107

Uato-Lari 6,091 69 59 419 11 115 2,936 2,072 78 145 187 Uato-Carbau 2,789 48 14 93 25 45 1,433 949 4 43 135

Viqueque 7,664 184 76 547 173 218 3,661 2,337 50 149 269

262 | P a g e

Table A.38: Working Population (10+ Years) of agricultural households by sector of activity (industry) by sex by Municipality/ Sub-municipality: TLAC 2019


Administrative

Industry – All Workers

Tota

l

Gro

win

g o

f non-

per

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l cr

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Gro

win

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f

per

ennia

l cr

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Pla

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Sil

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Loggin

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Others

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

TIMOR-LESTE 183,859 80,135 15,719 94 10,715 57,190 1,258 25 22 131 62 78 1,408 137 16,885

AILEU 10,267 5,581 983 3 71 2,900 18 0 0 1 0 7 0 9 694

Aileu Vila 4,387 2,779 358 2 47 857 7 0 0 1 0 5 0 7 324

Laulara 1,696 780 206 0 8 493 3 0 0 0 0 1 0 0 205

Lequidoe 1,312 654 64 0 4 544 4 0 0 0 0 0 0 1 41

Remexio 2,872 1,368 355 1 12 1,006 4 0 0 0 0 1 0 1 124

AINARO 11,688 2,905 702 6 298 7,173 19 3 2 18 1 5 2 4 550

Ainaro Vila 1,898 485 312 0 48 871 5 0 0 4 0 3 0 1 169

Hato-Udo 2,339 836 92 2 143 1,073 1 1 2 12 0 2 2 1 172

Hato-Builico 2,931 1,274 87 1 78 1,357 8 0 0 1 1 0 0 0 124

Maubisse 4,520 310 211 3 29 3,872 5 2 0 1 0 0 0 2 85

BAUCAU 25,468 12,847 942 2 791 8,612 18 1 1 15 8 10 114 10 2,097

Baguia 2,991 1,257 45 0 21 1,543 1 0 0 1 0 2 0 2 119

Baucau 7,872 2,761 385 1 434 2,902 5 0 0 6 0 4 49 4 1,321

Laga 3,988 2,934 140 0 127 553 5 0 0 0 0 0 25 2 202

Quelicai 4,285 2,025 79 0 32 2,057 1 0 1 7 0 0 1 1 81

Vemasse 2,174 1,084 84 0 118 582 3 1 0 0 8 4 39 0 251

Vemasse 4,158 2,786 209 1 59 975 3 0 0 1 0 0 0 1 123

263 | P a g e

All Workers Table A.38 contd……….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

BOBONARO 20,161 9,741 935 6 1,236 6,689 90 1 7 10 3 6 184 23 1,230

Atabae 2,077 1,092 143 2 142 306 26 1 4 6 2 1 133 2 217

Balibo 3,946 1,586 157 0 436 1,507 11 0 0 0 1 2 47 13 186

Bobonaro 5,691 3,278 200 1 183 1,838 21 0 0 0 0 1 0 1 168

Cailaco 2,746 1,819 137 0 87 473 0 0 0 3 0 0 0 3 224

Lolotoe 2,044 729 115 1 11 1,145 21 0 1 0 0 1 1 0 19

Maliana 3,657 1,237 183 2 377 1,420 11 0 2 1 0 1 3 4 416

COVALIMA 12,433 5,987 817 2 1,125 2,979 16 0 0 22 1 1 78 3 1,402

Fatululic 437 257 33 0 4 125 0 0 0 0 0 0 0 0 18

Fatumean 835 386 9 0 4 410 1 0 0 0 0 0 0 0 25

Fohorem 913 436 73 0 140 240 2 0 0 1 0 0 0 2 19

Maucatar 1,910 768 235 0 102 307 0 0 0 4 0 0 2 0 492

Suai 4,476 1,939 117 0 706 1,197 9 0 0 2 1 0 60 1 444

Tilomar 1,760 997 90 1 147 370 4 0 0 14 0 1 8 0 128

Zumalai 2,102 1,204 260 1 22 330 0 0 0 1 0 0 8 0 276

DILI 10,759 1,855 861 8 2,391 1,879 71 1 2 4 0 4 473 9 3,201

Atauro 2,058 469 334 5 37 412 1 0 0 1 0 0 377 2 420

Cristo Rei 3,574 621 284 2 749 1,074 6 1 1 1 0 2 58 2 773

Dom Aleixo 2,684 244 28 0 1,167 162 7 0 0 2 0 1 9 2 1,062

Metinaro 822 360 160 1 122 124 0 0 0 0 0 0 28 3 24

Nain Feto 650 94 21 0 200 11 1 0 0 0 0 1 0 0 322

Vera Cruz 971 67 34 0 116 96 56 0 1 0 0 0 1 0 600

ERMERA 21,274 8,283 5,273 30 311 5,459 498 4 1 27 1 12 0 13 1,362

Atsabe 3,579 1,149 554 1 93 1,497 20 1 0 0 0 1 0 1 262

Ermera 5,154 2,669 1,378 2 62 558 23 0 1 15 1 2 0 1 442

Hatulia 5,927 2,130 1,630 23 82 1,752 20 1 0 7 0 4 0 6 272

Letefoho 4,607 1,674 1,476 2 25 828 425 2 0 2 0 4 0 3 166

Railaco 2,007 661 235 2 49 824 10 0 0 3 0 1 0 2 220

264 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

LAUTEM 10,383 3,428 581 8 542 4,669 83 10 0 6 0 3 72 2 979

Iliomar 1,425 676 68 0 87 438 2 1 0 4 0 0 2 1 146

Lautem 3,029 1,555 390 5 257 503 3 7 0 0 0 2 56 0 251

Lospalos 3,965 852 78 2 139 2,396 76 0 0 2 0 1 0 1 418

Luro 1,451 85 11 1 33 1,263 1 1 0 0 0 0 1 0 55

Tutuala 513 260 34 0 26 69 1 1 0 0 0 0 13 0 109

LIQUICA 15,457 7,574 1,503 9 969 3,307 23 1 4 8 6 7 265 10 1,771

Bazartete 6,359 3,228 695 2 288 1,165 15 1 2 3 5 1 84 7 863

Liquica 3,563 1,020 682 5 260 979 2 0 0 3 0 2 89 0 521

Maubara 5,535 3,326 126 2 421 1,163 6 0 2 2 1 4 92 3 387

MANATUTO 7,305 3,018 385 5 596 1,910 42 0 3 2 7 2 116 7 1,212

Barique 1,202 66 19 0 300 712 1 0 1 0 0 0 3 1 99

Laclo 1,235 799 260 1 36 57 2 0 0 2 4 0 40 1 33

Laclubar 1,835 1,307 79 3 11 265 1 0 0 0 0 1 0 1 167

Laleia 848 280 7 0 42 318 4 0 0 0 3 0 25 0 169

Manatuto 1,508 252 12 1 194 404 13 0 0 0 0 1 48 3 580

Soibada 677 314 8 0 13 154 21 0 2 0 0 0 0 1 164

MANUFAHI 8,462 3,079 725 5 590 3,362 11 0 0 0 0 2 10 29 649

Alas 758 529 52 2 55 107 0 0 0 0 0 0 0 0 13

Fatuberlio 1,128 529 109 2 37 245 7 0 0 0 0 0 1 27 171

Same 5,116 1,464 511 1 474 2,194 4 0 0 0 0 2 9 2 455

Turiscai 1,460 557 53 0 24 816 0 0 0 0 0 0 0 0 10

OECUSSE 15,502 7,952 613 3 444 5,314 350 0 1 5 34 16 57 9 704

Nitibe 2,780 869 87 0 12 1,753 18 0 1 0 1 0 13 0 26

Oesilo 2,723 1,620 48 1 72 903 0 0 0 0 0 1 0 5 73 Pante Macassar 8,065 4,431 455 1 300 2,040 160 0 0 3 33 15 44 4 579

Passabe 1,934 1,032 23 1 60 618 172 0 0 2 0 0 0 0 26

265 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

VIQUEQUE 14,700 7,885 1,399 7 1,351 2,937 19 4 1 13 1 3 37 9 1,034

Lacluta 1,720 1,227 203 0 69 167 1 0 0 1 0 0 0 0 52

Ossu 3,429 2,444 234 0 259 359 6 2 0 4 0 0 1 4 116

Uato-Lari 3,182 1,983 289 0 130 596 2 1 0 0 0 1 4 0 176

Uato-Carbau 1,498 568 110 0 78 653 6 1 1 1 0 0 5 0 75

Viqueque 4,871 1,663 563 7 815 1,162 4 0 0 7 1 2 27 5 615

266 | P a g e

Table A.38: Working Population (10+ Years) of Agricultural Households by Sector of Activity (Industry) by Sex, Municipality/ Sub-municipality: TLAC 2019


Administrative

Industry – Male Workers

Tota

l

Gro

win

g o

f non-

per

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l cr

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Gro

win

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f

per

ennia

l cr

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pag

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Sil

vic

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and

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Log

gin

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Others

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

TIMOR-LESTE 146,599 63,889 13,096 67 8,698 45,570 992 22 15 128 55 59 1,397 121 12,490

AILEU 8,281 4,481 864 2 60 2,365 14 0 0 1 0 4 0 7 483

Aileu Vila 3,513 2,279 330 1 40 624 6 0 0 1 0 3 0 5 224

Laulara 1,360 597 171 0 6 438 2 0 0 0 0 1 0 0 145

Lequidoe 1,079 521 54 0 4 469 3 0 0 0 0 0 0 1 27

Remexio 2,329 1,084 309 1 10 834 3 0 0 0 0 0 0 1 87

AINARO 8,498 2,009 566 4 229 5,280 12 3 2 18 1 4 2 2 366

Ainaro Vila 1,624 435 274 0 41 736 4 0 0 4 0 2 0 1 127

Hato-Udo 1,847 571 65 0 123 966 0 1 2 12 0 2 2 0 103

Hato-Builico 1,839 802 51 1 42 857 4 0 0 1 1 0 0 0 80

Maubisse 3,188 201 176 3 23 2,721 4 2 0 1 0 0 0 1 56

BAUCAU 19,431 9,747 762 2 627 6,592 14 1 1 15 5 8 113 8 1,536

Baguia 1,953 712 26 0 17 1,118 1 0 0 1 0 2 0 2 74

Baucau 6,276 2,273 324 1 368 2,295 3 0 0 6 0 3 48 3 952

Laga 3,169 2,342 116 0 89 443 4 0 0 0 0 0 25 2 148

Quelicai 3,175 1,472 59 0 24 1,543 0 0 1 7 0 0 1 1 67

Vemasse 1,754 943 71 0 91 392 3 1 0 0 5 3 39 0 206

Vemasse 3,104 2,005 166 1 38 801 3 0 0 1 0 0 0 0 89

267 | P a g e

Male Workers Table A.38 contd……….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

BOBONARO 16,044 7,854 794 3 1,022 5,101 74 1 3 9 3 5 183 21 971

Atabae 1,887 994 127 1 135 278 23 1 0 6 2 0 132 2 186

Balibo 3,155 1,304 139 0 370 1,141 7 0 0 0 1 2 47 13 131

Bobonaro 4,106 2,358 160 1 137 1,291 19 0 0 0 0 1 0 1 138

Cailaco 2,311 1,549 114 0 78 367 0 0 0 3 0 0 0 3 197

Lolotoe 1,619 626 90 0 10 862 14 0 1 0 0 1 1 0 14

Maliana 2,966 1,023 164 1 292 1,162 11 0 2 0 0 1 3 2 305

COVALIMA 10,398 5,128 686 1 951 2,431 13 0 0 22 1 1 74 2 1,088

Fatululic 370 222 29 0 3 103 0 0 0 0 0 0 0 0 13

Fatumean 684 334 6 0 2 330 1 0 0 0 0 0 0 0 11

Fohorem 733 351 67 0 117 178 1 0 0 1 0 0 0 1 17

Maucatar 1,604 655 201 0 89 274 0 0 0 4 0 0 2 0 379

Suai 3,734 1,627 95 0 603 996 8 0 0 2 1 0 56 1 345

Tilomar 1,471 839 71 1 120 322 3 0 0 14 0 1 8 0 92

Zumalai 1,802 1,100 217 0 17 228 0 0 0 1 0 0 8 0 231

DILI 8,214 1,411 658 8 1,887 1,507 47 1 2 3 0 2 471 9 2,208

Atauro 1,590 318 210 5 32 322 1 0 0 1 0 0 375 2 324

Cristo Rei 2,870 495 251 2 573 910 5 1 1 0 0 2 58 2 570

Dom Aleixo 1,940 182 17 0 928 118 5 0 0 2 0 0 9 2 677

Metinaro 675 290 141 1 115 80 0 0 0 0 0 0 28 3 17

Nain Feto 448 70 16 0 149 10 1 0 0 0 0 0 0 0 202

Vera Cruz 691 56 23 0 90 67 35 0 1 0 0 0 1 0 418

ERMERA 17,340 6,632 4,620 16 245 4,448 382 3 1 27 1 10 0 13 942

Atsabe 2,718 810 446 1 62 1,240 11 1 0 0 0 0 0 1 146

Ermera 4,374 2,233 1,233 2 53 472 21 0 1 15 1 2 0 1 340

Hatulia 5,090 1,796 1,482 10 71 1,501 17 1 0 7 0 4 0 6 195

Letefoho 3,600 1,303 1,258 1 21 579 324 1 0 2 0 3 0 3 105

Railaco 1,558 490 201 2 38 656 9 0 0 3 0 1 0 2 156

268 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

LAUTEM 8,580 2,759 495 7 438 3,985 69 10 0 6 0 3 72 2 734

Iliomar 1,208 582 58 0 68 379 2 1 0 4 0 0 2 1 111

Lautem 2,427 1,203 340 4 207 411 3 7 0 0 0 2 56 0 194

Lospalos 3,414 739 69 2 118 2,116 63 0 0 2 0 1 0 1 303

Luro 1,172 74 9 1 24 1,021 0 1 0 0 0 0 1 0 41

Tutuala 359 161 19 0 21 58 1 1 0 0 0 0 13 0 85

LIQUICA 11,823 5,694 1,149 7 732 2,513 14 1 2 7 3 5 263 9 1,424

Bazartete 4,506 2,145 458 1 151 907 10 1 1 3 3 1 83 6 736

Liquica 2,896 810 580 4 212 799 1 0 0 3 0 2 89 0 396

Maubara 4,421 2,739 111 2 369 807 3 0 1 1 0 2 91 3 292

MANATUTO 6,324 2,614 333 5 514 1,749 35 0 2 2 6 2 116 7 939

Barique 1,058 60 17 0 237 664 0 0 1 0 0 0 3 1 75

Laclo 1,096 705 229 1 34 50 2 0 0 2 3 0 40 1 29

Laclubar 1,528 1,080 64 3 9 229 1 0 0 0 0 1 0 1 140

Laleia 751 264 7 0 36 302 3 0 0 0 3 0 25 0 111

Manatuto 1,301 229 11 1 185 361 11 0 0 0 0 1 48 3 451

Soibada 590 276 5 0 13 143 18 0 1 0 0 0 0 1 133

MANUFAHI 6,702 2,567 518 3 482 2,596 7 0 0 0 0 2 10 24 493

Alas 625 463 37 2 36 80 0 0 0 0 0 0 0 0 7

Fatuberlio 949 448 87 1 32 218 4 0 0 0 0 0 1 22 136

Same 4,036 1,249 359 0 396 1,672 3 0 0 0 0 2 9 2 344

Turiscai 1,092 407 35 0 18 626 0 0 0 0 0 0 0 0 6

OECUSSE 13,133 6,718 528 3 389 4,536 296 0 1 5 34 10 57 8 548

Nitibe 2,493 776 74 0 10 1,581 15 0 1 0 1 0 13 0 22

Oesilo 2,266 1,377 44 1 64 713 0 0 0 0 0 1 0 4 62

Pante Macassar

6,710 3,669 388 1 258 1,735 125 0 0 3 33 9 44 4 441

Passabe 1,664 896 22 1 57 507 156 0 0 2 0 0 0 0 23

269 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

VIQUEQUE 11,831 6,275 1,123 6 1,122 2,467 15 2 1 13 1 3 36 9 758

Lacluta 1,285 909 147 0 60 129 1 0 0 1 0 0 0 0 38

Ossu 2,713 1,963 194 0 195 260 5 1 0 4 0 0 1 4 86

Uato-Lari 2,624 1,631 227 0 108 518 2 1 0 0 0 1 4 0 132

Uato-Carbau 1,318 478 104 0 64 605 5 0 1 1 0 0 5 0 55

Viqueque 3,891 1,294 451 6 695 955 2 0 0 7 1 2 26 5 447

270 | P a g e

Table A.38: Working Population (10+ Years) of agricultural households by sector of activity (industry) by sex, Municipality/ Sub-municipality: TLAC 2019


Administrative

Industry – Female Workers

Tota

l

Gro

win

g o

f non-

per

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l cr

ops

Gro

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Anim

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Support

act

ivit

ies

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cult

ure

Hunti

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ice

Sil

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and

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Loggin

g

Gat

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f

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-wood f

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st

pro

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s

Support

ser

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to f

ore

stry

Fis

hin

g

Aquac

ult

ure

Others

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16)

TIMOR-LESTE 37,260 16,246 2,623 27 2,017 11,620 266 3 7 3 7 19 11 16 4,395

AILEU 1,986 1,100 119 1 11 535 4 0 0 0 0 3 0 2 211

Aileu Vila 874 500 28 1 7 233 1 0 0 0 0 2 0 2 100

Laulara 336 183 35 0 2 55 1 0 0 0 0 0 0 0 60

Lequidoe 233 133 10 0 0 75 1 0 0 0 0 0 0 0 14

Remexio 543 284 46 0 2 172 1 0 0 0 0 1 0 0 37

AINARO 3,190 896 136 2 69 1,893 7 0 0 0 0 1 0 2 184

Ainaro Vila 274 50 38 0 7 135 1 0 0 0 0 1 0 0 42

Hato-Udo 492 265 27 2 20 107 1 0 0 0 0 0 0 1 69

Hato-Builico 1,092 472 36 0 36 500 4 0 0 0 0 0 0 0 44

Maubisse 1,332 109 35 0 6 1,151 1 0 0 0 0 0 0 1 29

BAUCAU 6,037 3,100 180 0 164 2,020 4 0 0 0 3 2 1 2 561

Baguia 1,038 545 19 0 4 425 0 0 0 0 0 0 0 0 45

Baucau 1,596 488 61 0 66 607 2 0 0 0 0 1 1 1 369

Laga 819 592 24 0 38 110 1 0 0 0 0 0 0 0 54

Quelicai 1,110 553 20 0 8 514 1 0 0 0 0 0 0 0 14

Vemasse 420 141 13 0 27 190 0 0 0 0 3 1 0 0 45

Vemasse 1,054 781 43 0 21 174 0 0 0 0 0 0 0 1 34

271 | P a g e

Female Workers Table A.38 contd……….

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16)

BOBONARO 4,117 1,887 141 3 214 1,588 16 0 4 1 0 1 1 2 259

Atabae 190 98 16 1 7 28 3 0 4 0 0 1 1 0 31

Balibo 791 282 18 0 66 366 4 0 0 0 0 0 0 0 55

Bobonaro 1,585 920 40 0 46 547 2 0 0 0 0 0 0 0 30

Cailaco 435 270 23 0 9 106 0 0 0 0 0 0 0 0 27

Lolotoe 425 103 25 1 1 283 7 0 0 0 0 0 0 0 5

Maliana 691 214 19 1 85 258 0 0 0 1 0 0 0 2 111

COVALIMA 2,035 859 131 1 174 548 3 0 0 0 0 0 4 1 314

Fatululic 67 35 4 0 1 22 0 0 0 0 0 0 0 0 5

Fatumean 151 52 3 0 2 80 0 0 0 0 0 0 0 0 14

Fohorem 180 85 6 0 23 62 1 0 0 0 0 0 0 1 2

Maucatar 306 113 34 0 13 33 0 0 0 0 0 0 0 0 113

Suai 742 312 22 0 103 201 1 0 0 0 0 0 4 0 99

Tilomar 289 158 19 0 27 48 1 0 0 0 0 0 0 0 36

Zumalai 300 104 43 1 5 102 0 0 0 0 0 0 0 0 45

DILI 2,545 444 203 0 504 372 24 0 0 1 0 2 2 0 993

Atauro 468 151 124 0 5 90 0 0 0 0 0 0 2 0 96

Cristo Rei 704 126 33 0 176 164 1 0 0 1 0 0 0 0 203

Dom Aleixo 744 62 11 0 239 44 2 0 0 0 0 1 0 0 385

Metinaro 147 70 19 0 7 44 0 0 0 0 0 0 0 0 7

Nain Feto 202 24 5 0 51 1 0 0 0 0 0 1 0 0 120

Vera Cruz 280 11 11 0 26 29 21 0 0 0 0 0 0 0 182

ERMERA 3,934 1,651 653 14 66 1,011 116 1 0 0 0 2 0 0 420

Atsabe 861 339 108 0 31 257 9 0 0 0 0 1 0 0 116

Ermera 780 436 145 0 9 86 2 0 0 0 0 0 0 0 102

Hatulia 837 334 148 13 11 251 3 0 0 0 0 0 0 0 77

Letefoho 1,007 371 218 1 4 249 101 1 0 0 0 1 0 0 61

Railaco 449 171 34 0 11 168 1 0 0 0 0 0 0 0 64

272 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16)

LAUTEM 1,803 669 86 1 104 684 14 0 0 0 0 0 0 0 245

Iliomar 217 94 10 0 19 59 0 0 0 0 0 0 0 0 35

Lautem 602 352 50 1 50 92 0 0 0 0 0 0 0 0 57

Lospalos 551 113 9 0 21 280 13 0 0 0 0 0 0 0 115

Luro 279 11 2 0 9 242 1 0 0 0 0 0 0 0 14

Tutuala 154 99 15 0 5 11 0 0 0 0 0 0 0 0 24

LIQUICA 3,634 1,880 354 2 237 794 9 0 2 1 3 2 2 1 347

Bazartete 1,853 1,083 237 1 137 258 5 0 1 0 2 0 1 1 127

Liquica 667 210 102 1 48 180 1 0 0 0 0 0 0 0 125

Maubara 1,114 587 15 0 52 356 3 0 1 1 1 2 1 0 95

MANATUTO 981 404 52 0 82 161 7 0 1 0 1 0 0 0 273

Barique 144 6 2 0 63 48 1 0 0 0 0 0 0 0 24

Laclo 139 94 31 0 2 7 0 0 0 0 1 0 0 0 4

Laclubar 307 227 15 0 2 36 0 0 0 0 0 0 0 0 27

Laleia 97 16 0 0 6 16 1 0 0 0 0 0 0 0 58

Manatuto 207 23 1 0 9 43 2 0 0 0 0 0 0 0 129

Soibada 87 38 3 0 0 11 3 0 1 0 0 0 0 0 31

MANUFAHI 1,760 512 207 2 108 766 4 0 0 0 0 0 0 5 156

Alas 133 66 15 0 19 27 0 0 0 0 0 0 0 0 6

Fatuberlio 179 81 22 1 5 27 3 0 0 0 0 0 0 5 35

Same 1,080 215 152 1 78 522 1 0 0 0 0 0 0 0 111

Turiscai 368 150 18 0 6 190 0 0 0 0 0 0 0 0 4

OECUSSE 2,369 1,234 85 0 55 778 54 0 0 0 0 6 0 1 156

Nitibe 287 93 13 0 2 172 3 0 0 0 0 0 0 0 4

Oesilo 457 243 4 0 8 190 0 0 0 0 0 0 0 1 11

Pante Macassar

1,355 762 67 0 42 305 35 0 0 0 0 6 0 0 138

Passabe 270 136 1 0 3 111 16 0 0 0 0 0 0 0 3

273 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15 (16)

VIQUEQUE 2,869 1,610 276 1 229 470 4 2 0 0 0 0 1 0 276

Lacluta 435 318 56 0 9 38 0 0 0 0 0 0 0 0 14

Ossu 716 481 40 0 64 99 1 1 0 0 0 0 0 0 30

Uato-Lari 558 352 62 0 22 78 0 0 0 0 0 0 0 0 44

Uato-Carbau 180 90 6 0 14 48 1 1 0 0 0 0 0 0 20

Viqueque 980 369 112 1 120 207 2 0 0 0 0 0 1 0 168

274 | P a g e

Table A.39: Working Population (10+ Years) of agricultural households by occupation by sex by Municipality/ Sub-municipality: TLAC 2019

Municipality and

Post

Administrative

Occupation – All Workers

Total

Fie

ld C

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an

d

Veg

etab

le G

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Tre

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b C

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Gro

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l

and

Nu

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Gro

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Liv

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nd

Dai

ry

Pro

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Po

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Ap

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and

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Pro

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Fo

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Rel

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Wo

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s

Aq

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Wo

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Inla

nd

an

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Wat

ers

Fis

her

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ork

ers

Dee

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ea F

ish

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Wo

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s

Hu

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nd

Tra

pp

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Su

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sten

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rop

Far

mer

s

Su

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Far

mer

s

Su

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ixed

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p

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(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

TIMOR-LESTE 183,859 81,736 29,049 100 21,851 8,343 1,178 63 14,533 181 141 272 1,231 59 2,122 344 2,908 19,748

AILEU 10,267 5,123 1,850 4 1,711 37 13 0 585 6 14 1 0 0 17 8 201 697

Aileu Vila 4,387 2,637 741 1 391 19 13 0 46 4 9 0 0 0 13 7 197 309

Laulara 1,696 622 516 1 328 5 0 0 3 0 4 0 0 0 1 0 4 212

Lequidoe 1,312 445 207 1 221 6 0 0 397 0 1 1 0 0 2 0 0 31

Remexio 2,872 1,419 386 1 771 7 0 0 139 2 0 0 0 0 1 1 0 145

AINARO 11,688 3,172 1,296 5 3,713 214 34 7 1,862 6 13 1 10 0 22 7 792 534

Ainaro Vila 1,898 574 449 0 124 62 3 3 197 0 2 0 0 0 1 6 307 170

Hato-Udo 2,339 1,108 119 4 222 138 31 3 532 6 9 1 10 0 0 0 4 152

Hato-Builico 2,931 1,197 401 0 864 3 0 0 309 0 2 0 0 0 7 0 14 134

Maubisse 4,520 293 327 1 2,503 11 0 1 824 0 0 0 0 0 14 1 467 78

BAUCAU 25,468 14,376 2,265 5 2,559 680 126 11 2,229 11 15 22 96 7 532 12 216 2,306

Baguia 2,991 1,205 725 0 517 27 13 0 341 0 5 0 0 0 5 0 10 143

Baucau 7,872 3,498 536 1 680 340 66 1 1,168 5 5 10 49 0 4 3 85 1,421

Laga 3,988 3,028 271 1 16 156 14 0 276 0 2 0 24 0 2 2 1 195

Quelicai 4,285 2,185 287 0 750 29 8 4 289 1 0 0 0 4 478 6 113 131

Vemasse 2,174 1,392 120 0 56 101 6 6 140 5 1 12 23 3 33 1 5 270

Vemasse 4,158 3,068 326 3 540 27 19 0 15 0 2 0 0 0 10 0 2 146

275 | P a g e

All Workers Table A.39 contd……..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

BOBONARO 20,161 12,084 1,700 19 487 1,085 163 2 1,578 11 34 45 168 5 828 126 296 1,530

Atabae 2,077 1,343 151 11 18 149 9 1 1 3 2 10 125 3 3 1 9 238

Balibo 3,946 1,752 206 2 24 391 89 1 723 6 24 33 39 1 58 56 229 312

Bobonaro 5,691 4,017 468 3 262 327 13 0 196 0 1 0 0 0 4 36 26 338

Cailaco 2,746 1,616 137 1 5 43 42 0 4 1 1 0 0 0 761 32 11 92

Lolotoe 2,044 1,447 352 1 136 16 0 0 38 0 0 1 0 1 0 0 2 50

Maliana 3,657 1,909 386 1 42 159 10 0 616 1 6 1 4 0 2 1 19 500

COVALIMA 12,433 6,429 1,491 6 662 920 56 1 883 2 2 17 70 6 55 11 208 1,614

Fatululic 437 238 130 0 45 3 1 0 7 0 0 0 0 0 0 0 0 13

Fatumean 835 345 89 0 37 2 1 0 151 0 0 0 0 0 0 2 186 22

Fohorem 913 524 192 1 36 147 0 1 1 1 1 0 0 0 0 0 0 9

Maucatar 1,910 731 251 0 184 47 8 0 83 0 0 0 2 0 23 5 16 560

Suai 4,476 2,336 181 2 221 538 39 0 515 0 0 11 54 0 3 0 0 576

Tilomar 1,760 1,040 236 2 130 171 6 0 12 1 1 0 11 5 0 2 2 141

Zumalai 2,102 1,215 412 1 9 12 1 0 114 0 0 6 3 1 29 2 4 293

DILI 10,759 2,286 1,044 7 536 1,617 316 3 713 9 12 33 406 4 16 40 59 3,658

Atauro 2,058 706 412 4 36 13 18 0 6 0 2 11 353 2 1 1 2 491

Cristo Rei 3,574 692 359 1 433 586 90 0 612 3 6 8 51 1 0 2 8 722

Dom Aleixo 2,684 248 33 0 47 609 95 2 66 4 0 2 1 1 12 35 41 1,488

Metinaro 822 483 171 2 6 75 11 0 17 1 3 10 1 0 1 0 2 39

Nain Feto 650 79 37 0 1 142 46 0 6 1 0 0 0 0 1 2 4 331

Vera Cruz 971 78 32 0 13 192 56 1 6 0 1 2 0 0 1 0 2 587

ERMERA 21,274 6,516 9,405 24 1,958 196 55 18 1,309 20 8 0 3 3 60 68 135 1,496

Atsabe 3,579 942 1,055 0 830 31 12 2 387 0 0 0 0 0 16 2 33 269

Ermera 5,154 1,841 2,546 6 194 51 8 5 19 9 2 0 0 2 4 2 5 460

Hatulia 5,927 1,746 3,018 12 596 49 20 3 55 3 2 0 1 1 33 3 76 309

Letefoho 4,607 1,529 2,144 6 92 17 5 7 507 6 1 0 0 0 7 61 15 210

Railaco 2,007 458 642 0 246 48 10 1 341 2 3 0 2 0 0 0 6 248

276 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

LAUTEM 10,383 3,369 1,198 6 2,370 432 58 5 1,234 6 10 4 72 14 318 14 41 1,232

Iliomar 1,425 681 109 1 330 102 4 1 9 0 4 0 0 3 2 1 8 170

Lautem 3,029 1,473 762 1 265 104 23 0 53 3 4 3 57 8 9 2 6 256

Lospalos 3,965 804 234 3 1,112 146 23 2 1,039 2 2 1 1 1 74 6 18 497

Luro 1,451 120 44 1 662 61 6 1 133 1 0 0 1 1 232 4 4 180

Tutuala 513 291 49 0 1 19 2 1 0 0 0 0 13 1 1 1 5 129

LIQUICA 15,457 6,199 3,325 13 1,523 832 127 6 251 17 5 67 249 5 11 23 513 2,291

Bazartete 6,359 2,712 1,227 1 663 222 48 4 120 14 3 59 41 0 0 12 311 922

Liquica 3,563 885 868 5 723 124 29 1 116 2 0 6 109 1 11 6 13 664

Maubara 5,535 2,602 1,230 7 137 486 50 1 15 1 2 2 99 4 0 5 189 705

MANATUTO 7,305 2,670 825 1 809 504 35 3 732 8 4 45 81 6 53 11 193 1,325

Barique 1,202 54 17 0 444 287 14 0 252 2 1 2 2 1 0 1 20 105

Laclo 1,235 537 544 0 7 26 0 2 6 1 1 15 29 0 27 0 7 33

Laclubar 1,835 1,218 189 0 139 9 1 0 12 0 0 0 0 0 18 8 57 184

Laleia 848 368 50 0 132 50 3 1 36 2 0 17 11 2 1 0 0 175

Manatuto 1,508 303 12 0 34 125 15 0 276 2 1 11 39 2 7 1 97 583

Soibada 677 190 13 1 53 7 2 0 150 1 1 0 0 1 0 1 12 245

MANUFAHI 8,462 2,720 1,287 0 2,063 431 32 2 1,177 4 3 0 8 3 10 6 19 697

Alas 758 594 66 0 12 66 2 0 6 0 0 0 0 0 0 0 1 11

Fatuberlio 1,128 393 285 0 215 30 3 1 15 1 1 0 0 2 4 5 3 170

Same 5,116 1,325 688 0 1,382 331 26 0 836 3 2 0 8 1 5 1 14 494

Turiscai 1,460 408 248 0 454 4 1 1 320 0 0 0 0 0 1 0 1 22

OECUSSE 15,502 9,194 963 2 2,575 365 49 1 1,146 71 6 32 43 3 4 4 76 968

Nitibe 2,780 1,324 314 0 792 4 0 0 287 1 0 9 12 3 1 1 3 29

Oesilo 2,723 1,572 49 0 425 64 5 0 503 3 1 0 0 0 0 1 4 96

Pante

Macassar

8,065 5,031 555 2 819 259 43 1 346 67 5 23 31 0 1 2 60 820

Passabe 1,934 1,267 45 0 539 38 1 0 10 0 0 0 0 0 2 0 9 23

277 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

VIQUEQUE 14,700 7,598 2,400 8 885 1,030 114 4 834 10 15 5 25 3 196 14 159 1,400

Lacluta 1,720 1,170 289 0 64 60 0 0 51 1 0 0 0 0 0 0 25 60

Ossu 3,429 2,252 509 0 157 276 12 2 108 1 5 0 0 0 0 0 4 103

Uato-Lari 3,182 1,837 483 0 296 71 3 1 244 6 1 0 2 2 4 2 44 186

Uato-Carbau 1,498 707 238 1 109 28 7 0 233 0 0 5 2 0 8 2 20 138

Viqueque 4,871 1,632 881 7 259 595 92 1 198 2 9 0 21 1 184 10 66 913

278 | P a g e

Table A.39: Working Population (10+ Years) of agricultural households by sector of activity (occupation) by sex by Municipality/ Sub-municipality: TLAC 2019

Municipality and

Post

Administrative

Occupation – Male Workers

Total

Fie

ld C

rop

an

d

Veg

etab

le G

row

ers

Tre

e an

d S

hru

b C

rop

Gro

wer

s

Gar

den

ers;

Ho

rtic

ult

ura

l

and

Nu

rser

y G

row

ers

Mix

ed C

rop

Gro

wer

s

Liv

esto

ck a

nd

Dai

ry

Pro

du

cers

Po

ult

ry P

rod

uce

rs

Ap

iari

sts

and

Ser

icu

ltu

rist

s

Mix

ed C

rop

an

d A

nim

al

Pro

du

cers

Fo

rest

ry a

nd

Rel

ated

Wo

rker

s

Aq

uac

ult

ure

Wo

rker

s

Inla

nd

an

d C

oas

tal

Wat

ers

Fis

her

y W

ork

ers

Dee

p s

ea F

ish

ery

Wo

rker

s

Hu

nte

rs a

nd

Tra

pp

ers

Su

bsi

sten

ce C

rop

Far

mer

s

Su

bsi

sten

ce L

ives

tock

Far

mer

s

Su

bsi

sten

ce M

ixed

Cro

p

and

Liv

esto

ck F

arm

ers

Oth

er o

ccu

pat

ion

s n

ot

men

tio

ned

ab

ov

e.

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

TIMOR-LESTE 146,599 64,017 24,072 66 17,449 6,752 847 55 12,337 155 127 261 1,219 58 1,809 293 2,360 14,722

AILEU 8,281 4,023 1,597 2 1,390 33 12 0 519 4 12 1 0 0 13 8 177 490

Aileu Vila 3,513 2,089 679 0 272 18 12 0 28 3 8 0 0 0 9 7 174 214

Laulara 1,360 520 388 1 285 4 0 0 3 0 3 0 0 0 1 0 3 152

Lequidoe 1,079 298 187 1 200 6 0 0 366 0 1 1 0 0 2 0 0 17

Remexio 2,329 1,116 343 0 633 5 0 0 122 1 0 0 0 0 1 1 0 107

AINARO 8,498 2,111 1,010 3 2,648 187 22 6 1,472 6 10 1 10 0 18 7 620 367

Ainaro Vila 1,624 490 391 0 103 56 2 2 174 0 2 0 0 0 1 6 273 124

Hato-Udo 1,847 810 80 2 200 117 20 3 491 6 6 1 10 0 0 0 3 98

Hato-Builico 1,839 645 290 0 583 3 0 0 212 0 2 0 0 0 5 0 10 89

Maubisse 3,188 166 249 1 1,762 11 0 1 595 0 0 0 0 0 12 1 334 56

BAUCAU 19,431 11,022 1,675 5 1,853 563 92 10 1,827 10 15 21 96 6 367 10 159 1,700

Baguia 1,953 752 397 0 401 22 11 0 255 0 5 0 0 0 5 0 8 97

Baucau 6,276 2,856 460 1 463 303 52 1 969 5 5 9 49 0 4 3 54 1,042

Laga 3,169 2,383 237 1 15 133 8 0 213 0 2 0 24 0 2 2 0 149

Quelicai 3,175 1,630 226 0 522 24 6 4 256 1 0 0 0 3 321 4 90 88

Vemasse 1,754 1,123 97 0 44 61 4 5 123 4 1 12 23 3 30 1 5 218

Vemasse 3,104 2,278 258 3 408 20 11 0 11 0 2 0 0 0 5 0 2 106

279 | P a g e

Male Workers Table A.39 contd……..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

BOBONARO 16,044 9,423 1,416 10 425 860 102 2 1,290 9 29 45 167 5 753 109 261 1,138

Atabae 1,887 1,225 134 2 15 144 8 1 0 2 2 10 124 3 2 1 9 205

Balibo 3,155 1,385 184 2 15 335 45 1 602 6 21 33 39 1 31 44 199 212

Bobonaro 4,106 2,768 382 3 242 219 9 0 181 0 1 0 0 0 4 34 25 238

Cailaco 2,311 1,300 112 1 5 38 31 0 4 1 1 0 0 0 715 30 9 64

Lolotoe 1,619 1,160 282 1 110 13 0 0 12 0 0 1 0 1 0 0 2 37

Maliana 2,966 1,585 322 1 38 111 9 0 491 0 4 1 4 0 1 0 17 382

COVALIMA 10,398 5,431 1,209 5 588 767 45 1 790 1 2 15 67 6 53 9 164 1,245

Fatululic 370 204 111 0 36 3 0 0 7 0 0 0 0 0 0 0 0 9

Fatumean 684 288 79 0 29 1 1 0 128 0 0 0 0 0 0 2 145 11

Fohorem 733 427 148 1 22 123 0 1 0 1 1 0 0 0 0 0 0 9

Maucatar 1,604 608 215 0 173 38 8 0 80 0 0 0 2 0 21 3 14 442

Suai 3,734 1,923 158 1 207 450 35 0 470 0 0 9 51 0 3 0 0 427

Tilomar 1,471 869 205 2 113 143 1 0 8 0 1 0 11 5 0 2 2 109

Zumalai 1,802 1,112 293 1 8 9 0 0 97 0 0 6 3 1 29 2 3 238

DILI 8,214 1,718 803 5 455 1,250 245 3 595 5 11 31 403 4 9 25 45 2,607

Atauro 1,590 496 260 3 35 11 17 0 6 0 2 11 351 2 1 1 1 393

Cristo Rei 2,870 544 310 0 371 456 67 0 513 2 5 8 50 1 0 1 6 536

Dom Aleixo 1,940 180 25 0 35 480 78 2 53 2 0 2 1 1 5 22 31 1,023

Metinaro 675 385 156 2 5 65 8 0 12 1 3 8 1 0 1 0 2 26

Nain Feto 448 55 31 0 1 104 34 0 5 0 0 0 0 0 1 1 3 213

Vera Cruz 691 58 21 0 8 134 41 1 6 0 1 2 0 0 1 0 2 416

ERMERA 17,340 4,913 8,093 17 1,669 164 35 16 1,109 16 7 0 3 3 54 67 121 1,053

Atsabe 2,718 645 823 0 688 23 3 1 340 0 0 0 0 0 12 2 28 153

Ermera 4,374 1,434 2,294 5 174 46 6 5 19 9 2 0 0 2 3 2 4 369

Hatulia 5,090 1,434 2,629 7 560 44 16 3 49 3 2 0 1 1 32 3 72 234

Letefoho 3,600 1,109 1,803 5 68 15 3 6 382 3 1 0 0 0 7 60 13 125

Railaco 1,558 291 544 0 179 36 7 1 319 1 2 0 2 0 0 0 4 172

280 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

LAUTEM 8,580 2,705 1,023 5 1,927 371 46 5 1,092 4 9 4 70 14 286 11 37 971

Iliomar 1,208 584 97 1 275 86 4 1 9 0 4 0 0 3 2 1 7 134

Lautem 2,427 1,134 639 0 220 83 18 0 40 2 3 3 56 8 8 2 5 206

Lospalos 3,414 692 216 3 973 128 20 2 915 2 2 1 0 1 62 4 16 377

Luro 1,172 107 41 1 459 57 3 1 128 0 0 0 1 1 213 3 4 153

Tutuala 359 188 30 0 0 17 1 1 0 0 0 0 13 1 1 1 5 101

LIQUICA 11,823 4,444 2,674 6 1,273 612 58 3 195 10 4 61 248 5 11 19 397 1,803

Bazartete 4,506 1,638 953 1 553 125 18 1 97 7 2 53 41 0 0 11 222 784

Liquica 2,896 680 748 3 594 109 24 1 87 2 0 6 109 1 11 4 9 508

Maubara 4,421 2,126 973 2 126 378 16 1 11 1 2 2 98 4 0 4 166 511

MANATUTO 6,324 2,290 741 1 767 423 32 3 677 8 4 45 81 6 49 8 160 1,029

Barique 1,058 46 13 0 422 220 12 0 238 2 1 2 2 1 0 1 18 80

Laclo 1,096 459 494 0 4 25 0 2 6 1 1 15 29 0 24 0 7 29

Laclubar 1,528 993 164 0 135 8 0 0 12 0 0 0 0 0 17 5 42 152

Laleia 751 350 48 0 127 44 3 1 33 2 0 17 11 2 1 0 0 112

Manatuto 1,301 284 11 0 28 120 15 0 251 2 1 11 39 2 7 1 81 448

Soibada 590 158 11 1 51 6 2 0 137 1 1 0 0 1 0 1 12 208

MANUFAHI 6,702 2,206 1,017 0 1,529 347 28 2 992 4 3 0 8 3 9 3 16 535

Alas 625 511 49 0 8 44 2 0 6 0 0 0 0 0 0 0 1 4

Fatuberlio 949 326 239 0 196 27 1 1 12 1 1 0 0 2 3 3 3 134

Same 4,036 1,101 524 0 989 274 24 0 712 3 2 0 8 1 5 0 12 381

Turiscai 1,092 268 205 0 336 2 1 1 262 0 0 0 0 0 1 0 0 16

OECUSSE 13,133 7,727 850 0 2,191 326 43 0 1,030 70 6 32 43 3 3 4 65 740

Nitibe 2,493 1,165 286 0 718 3 0 0 267 1 0 9 12 3 1 1 2 25

Oesilo 2,266 1,333 41 0 309 56 5 0 435 3 1 0 0 0 0 1 3 79

Pante

Macassar

6,710 4,175 486 0 667 229 37 0 318 66 5 23 31 0 0 2 54 617

Passabe 1,664 1,054 37 0 497 38 1 0 10 0 0 0 0 0 2 0 6 19

281 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

VIQUEQUE 11,831 6,004 1,964 7 734 849 87 4 749 8 15 5 23 3 184 13 138 1,044

Lacluta 1,285 844 223 0 53 51 0 0 45 1 0 0 0 0 0 0 21 47

Ossu 2,713 1,792 424 0 95 203 10 2 104 1 5 0 0 0 0 0 4 73

Uato-Lari 2,624 1,502 396 0 265 64 3 1 209 4 1 0 2 2 4 2 36 133

Uato-Carbau 1,318 602 226 1 102 24 6 0 215 0 0 5 2 0 7 2 17 109

Viqueque 3,891 1,264 695 6 219 507 68 1 176 2 9 0 19 1 173 9 60 682

282 | P a g e

Table A.39: Working Population (10+ Years) of agricultural households by sector of activity (occupation) by sex by Municipality/ Sub-municipality: TLAC 2019

Municipality and

Post

Administrative

Occupation – Female Workers

Total

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Dai

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Pro

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Ap

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Wat

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ork

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Tra

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Far

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ixed

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e.

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

TIMOR-LESTE 37,260 17,719 4,977 34 4,402 1,591 331 8 2,196 26 14 11 12 1 313 51 548 5,026

AILEU 1,986 1,100 253 2 321 4 1 0 66 2 2 0 0 0 4 0 24 207

Aileu Vila 874 548 62 1 119 1 1 0 18 1 1 0 0 0 4 0 23 95

Laulara 336 102 128 0 43 1 0 0 0 0 1 0 0 0 0 0 1 60

Lequidoe 233 147 20 0 21 0 0 0 31 0 0 0 0 0 0 0 0 14

Remexio 543 303 43 1 138 2 0 0 17 1 0 0 0 0 0 0 0 38

AINARO 3,190 1,061 286 2 1,065 27 12 1 390 0 3 0 0 0 4 0 172 167

Ainaro Vila 274 84 58 0 21 6 1 1 23 0 0 0 0 0 0 0 34 46

Hato-Udo 492 298 39 2 22 21 11 0 41 0 3 0 0 0 0 0 1 54

Hato-Builico 1,092 552 111 0 281 0 0 0 97 0 0 0 0 0 2 0 4 45

Maubisse 1,332 127 78 0 741 0 0 0 229 0 0 0 0 0 2 0 133 22

BAUCAU 6,037 3,354 590 0 706 117 34 1 402 1 0 1 0 1 165 2 57 606

Baguia 1,038 453 328 0 116 5 2 0 86 0 0 0 0 0 0 0 2 46

Baucau 1,596 642 76 0 217 37 14 0 199 0 0 1 0 0 0 0 31 379

Laga 819 645 34 0 1 23 6 0 63 0 0 0 0 0 0 0 1 46

Quelicai 1,110 555 61 0 228 5 2 0 33 0 0 0 0 1 157 2 23 43

Vemasse 420 269 23 0 12 40 2 1 17 1 0 0 0 0 3 0 0 52

Vemasse 1,054 790 68 0 132 7 8 0 4 0 0 0 0 0 5 0 0 40

283 | P a g e

Female Workers Table A.39 contd……..

(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

BOBONARO 4,117 2,661 284 9 62 225 61 0 288 2 5 0 1 0 75 17 35 392

Atabae 190 118 17 9 3 5 1 0 1 1 0 0 1 0 1 0 0 33

Balibo 791 367 22 0 9 56 44 0 121 0 3 0 0 0 27 12 30 100

Bobonaro 1,585 1,249 86 0 20 108 4 0 15 0 0 0 0 0 0 2 1 100

Cailaco 435 316 25 0 0 5 11 0 0 0 0 0 0 0 46 2 2 28

Lolotoe 425 287 70 0 26 3 0 0 26 0 0 0 0 0 0 0 0 13

Maliana 691 324 64 0 4 48 1 0 125 1 2 0 0 0 1 1 2 118

COVALIMA 2,035 998 282 1 74 153 11 0 93 1 0 2 3 0 2 2 44 369

Fatululic 67 34 19 0 9 0 1 0 0 0 0 0 0 0 0 0 0 4

Fatumean 151 57 10 0 8 1 0 0 23 0 0 0 0 0 0 0 41 11

Fohorem 180 97 44 0 14 24 0 0 1 0 0 0 0 0 0 0 0 0

Maucatar 306 123 36 0 11 9 0 0 3 0 0 0 0 0 2 2 2 118

Suai 742 413 23 1 14 88 4 0 45 0 0 2 3 0 0 0 0 149

Tilomar 289 171 31 0 17 28 5 0 4 1 0 0 0 0 0 0 0 32

Zumalai 300 103 119 0 1 3 1 0 17 0 0 0 0 0 0 0 1 55

DILI 2,545 568 241 2 81 367 71 0 118 4 1 2 3 0 7 15 14 1,051

Atauro 468 210 152 1 1 2 1 0 0 0 0 0 2 0 0 0 1 98

Cristo Rei 704 148 49 1 62 130 23 0 99 1 1 0 1 0 0 1 2 186

Dom Aleixo 744 68 8 0 12 129 17 0 13 2 0 0 0 0 7 13 10 465

Metinaro 147 98 15 0 1 10 3 0 5 0 0 2 0 0 0 0 0 13

Nain Feto 202 24 6 0 0 38 12 0 1 1 0 0 0 0 0 1 1 118

Vera Cruz 280 20 11 0 5 58 15 0 0 0 0 0 0 0 0 0 0 171

ERMERA 3,934 1,603 1,312 7 289 32 20 2 200 4 1 0 0 0 6 1 14 443

Atsabe 861 297 232 0 142 8 9 1 47 0 0 0 0 0 4 0 5 116

Ermera 780 407 252 1 20 5 2 0 0 0 0 0 0 0 1 0 1 91

Hatulia 837 312 389 5 36 5 4 0 6 0 0 0 0 0 1 0 4 75

Letefoho 1,007 420 341 1 24 2 2 1 125 3 0 0 0 0 0 1 2 85

Railaco 449 167 98 0 67 12 3 0 22 1 1 0 0 0 0 0 2 76

284 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

LAUTEM 1,803 664 175 1 443 61 12 0 142 2 1 0 2 0 32 3 4 261

Iliomar 217 97 12 0 55 16 0 0 0 0 0 0 0 0 0 0 1 36

Lautem 602 339 123 1 45 21 5 0 13 1 1 0 1 0 1 0 1 50

Lospalos 551 112 18 0 139 18 3 0 124 0 0 0 1 0 12 2 2 120

Luro 279 13 3 0 203 4 3 0 5 1 0 0 0 0 19 1 0 27

Tutuala 154 103 19 0 1 2 1 0 0 0 0 0 0 0 0 0 0 28

LIQUICA 3,634 1,755 651 7 250 220 69 3 56 7 1 6 1 0 0 4 116 488

Bazartete 1,853 1,074 274 0 110 97 30 3 23 7 1 6 0 0 0 1 89 138

Liquica 667 205 120 2 129 15 5 0 29 0 0 0 0 0 0 2 4 156

Maubara 1,114 476 257 5 11 108 34 0 4 0 0 0 1 0 0 1 23 194

MANATUTO 981 380 84 0 42 81 3 0 55 0 0 0 0 0 4 3 33 296

Barique 144 8 4 0 22 67 2 0 14 0 0 0 0 0 0 0 2 25

Laclo 139 78 50 0 3 1 0 0 0 0 0 0 0 0 3 0 0 4

Laclubar 307 225 25 0 4 1 1 0 0 0 0 0 0 0 1 3 15 32

Laleia 97 18 2 0 5 6 0 0 3 0 0 0 0 0 0 0 0 63

Manatuto 207 19 1 0 6 5 0 0 25 0 0 0 0 0 0 0 16 135

Soibada 87 32 2 0 2 1 0 0 13 0 0 0 0 0 0 0 0 37

MANUFAHI 1,760 514 270 0 534 84 4 0 185 0 0 0 0 0 1 3 3 162

Alas 133 83 17 0 4 22 0 0 0 0 0 0 0 0 0 0 0 7

Fatuberlio 179 67 46 0 19 3 2 0 3 0 0 0 0 0 1 2 0 36

Same 1,080 224 164 0 393 57 2 0 124 0 0 0 0 0 0 1 2 113

Turiscai 368 140 43 0 118 2 0 0 58 0 0 0 0 0 0 0 1 6

OECUSSE 2,369 1,467 113 2 384 39 6 1 116 1 0 0 0 0 1 0 11 228

Nitibe 287 159 28 0 74 1 0 0 20 0 0 0 0 0 0 0 1 4

Oesilo 457 239 8 0 116 8 0 0 68 0 0 0 0 0 0 0 1 17

Pante

Macassar

1,355 856 69 2 152 30 6 1 28 1 0 0 0 0 1 0 6 203

Passabe 270 213 8 0 42 0 0 0 0 0 0 0 0 0 0 0 3 4

285 | P a g e


(1) (2) (3) (4) (5) (6) (7) (8) (9) (10) (11 (12) (13) (14) (15) (16) (17) (18) (19)

VIQUEQUE 2,869 1,594 436 1 151 181 27 0 85 2 0 0 2 0 12 1 21 356

Lacluta 435 326 66 0 11 9 0 0 6 0 0 0 0 0 0 0 4 13

Ossu 716 460 85 0 62 73 2 0 4 0 0 0 0 0 0 0 0 30

Uato-Lari 558 335 87 0 31 7 0 0 35 2 0 0 0 0 0 0 8 53

Uato-Carbau 180 105 12 0 7 4 1 0 18 0 0 0 0 0 1 0 3 29

Viqueque 980 368 186 1 40 88 24 0 22 0 0 0 2 0 11 1 6 231

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