Timor-Leste

TLS Global Data Lab TLS-GDL Development Indices

308 rows · 1 table(s) Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

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1 Admin 1 — 1 table(s)

TLS GDL - Subnational Indices — 308 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS, TLS, TLS, TLS, TLS
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	14	Total, Aileu, Ainaro, Baucau, Bobonaro
`human_development_index`	Human development index	float	SEL	0%	72	0.592, 0.559, 0.529, 0.596, 0.543
`health_index`	Health index	float	SEL	0%	71	0.607, 0.616, 0.578, 0.687, 0.599
`education_index`	Education index	float	SEL	0%	89	0.575, 0.514, 0.476, 0.552, 0.465
`income_index`	Income index	float	SEL	0%	83	0.593, 0.551, 0.538, 0.558, 0.573
`life_expectancy`	Life expectancy	float	SEL	0%	93	59.48, 60.03, 57.55, 64.66, 58.97
`mean_years_schooling`	Mean years schooling	float	SEL	0%	94	8.625, 6.517, 6.108, 7.805, 5.854

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	8	2002, 2002, 2002, 2002, 2002
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

TLS UNHCR Refugee Data Finder TLS-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

TLS UNHCR - Hosted Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

TLS UNHCR - Origin Populations — 75 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_of_origin_iso`	Country of origin iso	string	CCL	0%	1	-, -, -, -, -
`refugees`	Refugees	integer	CCL	0%	75	2116011, 1952928, 1847304, 1749628, 1717966
`idps`	Idps	integer	CCL	0%	34	0, 0, 0, 0, 0
`stateless`	Stateless	integer	CCL	0%	23	0, 0, 0, 0, 0
`others_of_concern`	Others of concern	integer	CCL	0%	30	0, 0, 0, 0, 0
`total_population`	Total population	string	CCL	100%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	75	1951, 1952, 1953, 1954, 1955
`country_of_origin`	country_of_origin	string	100%	-	-
`country_of_asylum`	country_of_asylum	string	100%	-	-
`country_of_asylum_iso`	country_of_asylum_iso	string	0%	1	-, -, -, -, -
`population_type`	population_type	string	100%	-	-
`asylum_seekers`	asylum_seekers	integer	0%	34	0, 0, 0, 0, 0
`female_total`	female_total	string	100%	-	-
`male_total`	male_total	string	100%	-	-
`female_0_4`	female_0_4	string	100%	-	-
`female_5_11`	female_5_11	string	100%	-	-
`female_12_17`	female_12_17	string	100%	-	-
`female_18_59`	female_18_59	string	100%	-	-
`female_60_plus`	female_60_plus	string	100%	-	-
`male_0_4`	male_0_4	string	100%	-	-
`male_5_11`	male_5_11	string	100%	-	-
`male_12_17`	male_12_17	string	100%	-	-
`male_18_59`	male_18_59	string	100%	-	-
`male_60_plus`	male_60_plus	string	100%	-	-

TLS World Bank Open Data TLS-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

TLS World Bank - Development Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TL, TL, TL, TL, TL
`population_count`	Population count	float	SEL	2%	65	468118.0, 475291.0, 482774.0, 490564.0, 498659.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	32.402, 32.801, 33.221, 33.665, 34.147
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	47%	35	168.621010199317, 189.794649212749, 235.064767714477,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	91%	6	37.5999984741211, 50.5999984741211, 58.310001373291,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	41%	39	270.6, 262.8, 243.7, 240.9, 229.6
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	96%	3	36.3, 50.4, 41.8

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Timor-Leste, Timor-Leste, Timor-Leste, Timor-Leste, Timor-Leste
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

TLS World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TL, TL, TL, TL, TL
`life_expectancy`	Life expectancy	float	SEL	3%	64	32.402, 32.801, 33.221, 33.665, 34.147
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	42%	38	62.3, 60.9, 60.0, 58.8, 57.6
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	41%	39	270.6, 262.8, 243.7, 240.9, 229.6
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	1916.0, 1860.0, 1763.0, 1743.0, 1511.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.319, 6.273, 6.218, 6.155, 6.084
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	45.241, 45.31, 45.299, 45.203, 45.028
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	30.262, 29.888, 29.476, 29.021, 28.513
`physicians_per_1000`	Physicians per 1000	float	SEL	80%	13	0.082, 0.034, 0.037, 0.044, 0.079
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	86%	6	0.44, 0.39, 0.42, 0.42, 0.41
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	65%	12	54.0, 55.0, 57.0, 55.0, 63.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	68%	21	2.84187031, 4.26103544, 5.28044748, 6.00192022, 5.64793253

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Timor-Leste, Timor-Leste, Timor-Leste, Timor-Leste, Timor-Leste
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

TLS USAID DHS Program TLS-DHS Health Surveys

26 rows · 1 table(s) USAID DHS Program 0 1 2 3 5 SEL 1 CCL 5 ext ▶

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1 Admin 1 — 1 table(s)

TLS DHS - Health Indicators — 26 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`contraception_modern_pct`	Contraception modern percent	float	SEL	0%	22	10.7, 18.3, 8.5, 10.9, 4.6
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	22	56.0, 26.0, 77.0, 48.0, 30.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	23	76.0, 36.0, 97.0, 56.0, 42.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	26	79.2, 58.0, 46.1, 35.0, 47.1
`children_underweight`	Children underweight	float	CCL	0%	26	41.2, 41.0, 47.7, 47.2, 43.0

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Timor-Leste, Timor-Leste, Timor-Leste, Timor-Leste, Timor-Leste
`survey_year`	survey_year	integer	0%	2	2009, 2016, 2009, 2016, 2009
`region`	region	string	0%	13	Aileu, Aileu, Ainaro, Ainaro, Baucau
`survey_id`	survey_id	string	0%	2	TL2009DHS, TL2016DHS, TL2009DHS, TL2016DHS, TL2009DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

TLS Glottolog Language Catalog TLS-GLOTTOLOG Language

22 rows · 1 table(s) Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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0 Admin 0 — 1 table(s)

TLS Glottolog - Languages — 22 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	22	adab1235, baik1238, buna1278, fata1247, galo1243
`name`	Name	string	CCL	0%	22	Adabe, Baikeno, Bunak, Fataluku, Galoli-Talur
`iso639_3`	Iso639 3	string	CCL	0%	22	adb, bkx, bfn, ddg, gal
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	4	book1242, aust1307, timo1261, timo1261, aust1307
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	15	book1242, nort3357, timo1261, fata1246, weta1246
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	2	['ID', 'TL'], ['ID', 'TL'], ['ID', 'TL'], ['TL'], ['ID', 'TL']
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	5	0, 3, 0, 0, 9

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	22	-8.22674, -9.32991, -9.13618, -8.49464, -8.61074
`longitude`	longitude	float	0%	22	125.576, 124.256, 125.216, 127.08, 125.959
`classification`	classification	string	0%	1	[], [], [], [], []

TLS LandScan Global (ORNL) TLS-LANDSCAN Modeled Population

15 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

TLS LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Timor-Leste
`admin_code`	Admin code	string	SEL	0%	1	64751640B28283146560930
`area_sqkm`	Area sqkm	float	SEL	0%	1	14889.961
`pop_2024`	Population count	integer	SEL	0%	1	1476477
`pop_density_2024`	Population density	float	SEL	0%	1	99.16

1 Admin 1 — 1 table(s)

TLS LandScan - Population Admin1 (admin_1) — 13 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS, TLS, TLS, TLS, TLS
`admin_level`	Admin level	string	SEL	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`admin_name`	Admin name	string	SEL	0%	13	Dili, Ermera, Baucau, Liquiçá, Bobonaro
`admin_code`	Admin code	string	SEL	0%	13	58719522B43373882655947, 58719522B37683587147705,...
`area_sqkm`	Area sqkm	float	SEL	0%	13	345.5219, 797.6215, 1546.1953, 520.9635, 1347.4505
`pop_2024`	Population count	integer	SEL	0%	13	316350, 161447, 153410, 126638, 116174
`pop_density_2024`	Population density	float	SEL	0%	13	915.57, 202.41, 99.22, 243.08, 86.22

Locality Locality — 1 table(s)

TLS LandScan - Cities (locality) — 1 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`admin_level`	Admin level	string	SEL	0%	1	locality
`admin_name`	Admin name	string	SEL	0%	1	Dili
`admin_code`	Admin code	integer	SEL	0%	1	186
`area_sqkm`	Area sqkm	float	SEL	0%	1	45.7055
`pop_2024`	Population count	integer	SEL	0%	1	308616
`pop_density_2024`	Population density	float	SEL	0%	1	6752.27

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	1	381794
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	1	0.808

TLS HDX COD — Population Statistics (OCHA/UNFPA) TLS-COD_PS Census Derived Population

14 rows · 2 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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0 Admin 0 — 1 table(s)

TLS Cod Ps - Tls Codps (admin_0) — 1 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	TL
`region_name`	Region name	string	SEL	0%	1	Timor-Leste
`F_TL`	Female population	integer	SEL	0%	1	658908
`M_TL`	Male population	integer	SEL	0%	1	677300
`T_TL`	Total population	integer	SEL	0%	1	1336215

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2022
`year`	year	integer	0%	1	2022
`F_00_04`	Female population age 0-4	integer	0%	1	76501
`F_05_09`	Female population age 5-9	integer	0%	1	76382
`F_10_14`	Female population age 10-14	integer	0%	1	73949
`F_15_19`	Female population age 15-19	integer	0%	1	73728
`F_20_24`	Female population age 20-24	integer	0%	1	68842
`F_25_29`	Female population age 25-29	integer	0%	1	56722
`F_30_34`	Female population age 30-34	integer	0%	1	47935
`F_35_39`	Female population age 35-39	integer	0%	1	39329
`F_40_44`	Female population age 40-44	integer	0%	1	26343
`F_45_49`	Female population age 45-49	integer	0%	1	24039
`F_50_54`	Female population age 50-54	integer	0%	1	23396
`F_55_59`	Female population age 55-59	integer	0%	1	17510
`F_60_64`	Female population age 60-64	integer	0%	1	14465
`F_65_69`	Female population age 65-69	integer	0%	1	13431
`F_70_74`	Female population age 70-74	integer	0%	1	10386
`F_75_79`	Female population age 75-79	integer	0%	1	7578
`F_80Plus`	F_80Plus	integer	0%	1	8267
`M_00_04`	Male population age 0-4	integer	0%	1	80807
`M_05_09`	Male population age 5-9	integer	0%	1	84257
`M_10_14`	Male population age 10-14	integer	0%	1	82432
`M_15_19`	Male population age 15-19	integer	0%	1	79342
`M_20_24`	Male population age 20-24	integer	0%	1	70363
`M_25_29`	Male population age 25-29	integer	0%	1	53667
`M_30_34`	Male population age 30-34	integer	0%	1	43121
`M_35_39`	Male population age 35-39	integer	0%	1	36578
`M_40_44`	Male population age 40-44	integer	0%	1	24803
`M_45_49`	Male population age 45-49	integer	0%	1	24737
+24 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

TLS Cod Ps - Tls Codps (admin_1) — 13 rows, 59 columns

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Field details — 59 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	13	TL02, TL01, TL03, TL04, TL05
`region_name`	Region name	string	SEL	0%	13	Aileu, Ainaro, Baucau, Bobonaro, Covalima
`F_TL`	Female population	integer	SEL	0%	13	27782, 31938, 64000, 50032, 34906
`M_TL`	Male population	integer	SEL	0%	13	29530, 33752, 63214, 49853, 35964
`T_TL`	Total population	integer	SEL	0%	13	57308, 65692, 127219, 99884, 70869

Pending (54) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022
`F_00_04`	Female population age 0-4	integer	0%	13	3887, 3347, 6357, 4753, 4284
`F_05_09`	Female population age 5-9	integer	0%	13	3463, 4002, 7145, 5899, 4077
`F_10_14`	Female population age 10-14	integer	0%	13	2940, 4449, 7737, 6445, 3775
`F_15_19`	Female population age 15-19	integer	0%	13	3161, 4198, 7639, 6343, 4077
`F_20_24`	Female population age 20-24	integer	0%	13	3014, 3389, 6540, 4553, 3641
`F_25_29`	Female population age 25-29	integer	0%	13	2315, 1943, 4714, 2878, 2385
`F_30_34`	Female population age 30-34	integer	0%	13	1931, 1576, 3679, 2951, 2022
`F_35_39`	Female population age 35-39	integer	0%	13	1624, 1685, 3210, 3091, 2055
`F_40_44`	Female population age 40-44	integer	0%	13	913, 1332, 2183, 2196, 1479
`F_45_49`	Female population age 45-49	integer	0%	13	760, 1294, 2431, 2019, 1389
`F_50_54`	Female population age 50-54	integer	0%	13	924, 1156, 2723, 2013, 1413
`F_55_59`	Female population age 55-59	integer	0%	13	717, 748, 2204, 1645, 1058
`F_60_64`	Female population age 60-64	integer	0%	13	664, 564, 1989, 1468, 745
`F_65_69`	Female population age 65-69	integer	0%	13	549, 535, 1838, 1237, 707
`F_70_74`	Female population age 70-74	integer	0%	13	357, 749, 1270, 944, 739
`F_75_79`	Female population age 75-79	integer	0%	13	281, 567, 1006, 728, 558
`F_80Plus`	F_80Plus	integer	0%	12	273, 399, 1325, 860, 494
`M_00_04`	Male population age 0-4	integer	0%	13	4109, 3546, 6626, 4968, 4494
`M_05_09`	Male population age 5-9	integer	0%	13	3828, 4604, 7764, 6445, 4422
`M_10_14`	Male population age 10-14	integer	0%	13	3246, 5100, 8376, 7070, 4101
`M_15_19`	Male population age 15-19	integer	0%	13	3378, 4638, 8162, 6771, 4438
`M_20_24`	Male population age 20-24	integer	0%	13	3213, 3663, 6853, 4822, 4008
`M_25_29`	Male population age 25-29	integer	0%	13	2414, 2041, 4311, 2591, 2465
`M_30_34`	Male population age 30-34	integer	0%	12	1914, 1319, 2854, 2229, 1749
`M_35_39`	Male population age 35-39	integer	0%	13	1591, 1462, 2523, 2534, 1826
`M_40_44`	Male population age 40-44	integer	0%	13	817, 1203, 1764, 1947, 1319
`M_45_49`	Male population age 45-49	integer	0%	13	727, 1309, 2211, 1823, 1319
+24 more pending fields — download the CSV/Parquet to see them all.

TLS OpenFactBook TLS-OPENFACTBOOK Country Profile

13 rows · 13 table(s) OpenFactBook 0 1 2 3 88 SEL 3 CCL 521 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 13 table(s)

TLS OpenFactBook - Communications — 1 rows, 22 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	2023.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	116.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.tl
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	34.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2023.0
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (14) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	2,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	2000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	1.63 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	1.63
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	116 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	7 TV stations (3 nationwide satellite coverage; 2...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	7.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	34% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	0 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	0.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/tt.json

TLS OpenFactBook - Economy — 1 rows, 133 columns

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Field details — 133 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	4200.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	1.881
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (128) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	lower middle-income Southeast Asian economy; government...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$5.863 billion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	5.863
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$5.995 billion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	5.995
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$7.322 billion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	7.322
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	-2.2% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	-2.2
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	-18.1% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	-18.1
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	-20.5% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	-20.5
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$4,200 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$4,300 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	4300.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$5,300 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	5300.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$1.881 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2.1% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	8.4% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	8.4
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	7% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	7.0
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	16.9% (2023 est.)
+98 more extension fields — download the CSV/Parquet to see them all.

TLS OpenFactBook - Energy — 1 rows, 33 columns

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Field details — 33 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	99.7
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (29) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	99.7% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	100%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	100.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	100%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	100.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	277,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	277000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	411.519 million kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	411.519
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	99.481 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	99.481
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	99.8% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	99.8
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.2% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.2
`coal_imports_text`	coal_imports_text	string	0%	1	122,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	122000.0
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	5,000 bbl/day (2023 est.)
`petroleum_total_petroleum_production_numeric`	petroleum_total_petroleum_production_numeric	float	0%	1	5000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	5,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	5000.0
`natural_gas_production_text`	natural_gas_production_text	string	0%	1	521.034 million cubic meters (2023 est.)
`natural_gas_production_numeric`	natural_gas_production_numeric	float	0%	1	521.034
`natural_gas_exports_text`	natural_gas_exports_text	string	0%	1	521.034 million cubic meters (2023 est.)
`natural_gas_exports_numeric`	natural_gas_exports_numeric	float	0%	1	521.034
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text	string	0%	1	6.825 million Btu/person (2023 est.)
`energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric`	energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric	float	0%	1	6.825
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/tt.json

TLS OpenFactBook - Environment — 1 rows, 43 columns

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Field details — 43 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	23.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	71.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	32.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.31
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	63900.0
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air pollution and deterioration of air quality; water...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Comprehensive Nuclear Test Ban
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; distinct rainy and dry seasons
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	23% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 7.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	7.5
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 5.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	5.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 10.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	10.1
`land_use_forest_text`	land_use_forest_text	string	0%	1	71% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	6% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	6.0
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	32.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.31% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	660,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	660000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	660,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric	float	0%	1	660000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	20.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	20.4
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	63,900 tons (2024 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1	13.5% (2022 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric	float	0%	1	13.5
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	99 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	99.0
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	2 million cubic meters (2022 est.)
`total_water_withdrawal_industrial_numeric`	total_water_withdrawal_industrial_numeric	float	0%	1	2.0
`total_water_withdrawal_agricultural_text`	total_water_withdrawal_agricultural_text	string	0%	1	1.071 billion cubic meters (2022 est.)
+5 more extension fields — download the CSV/Parquet to see them all.

TLS OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Timorese
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Timorese
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Austronesian (Malayo-Polynesian) (includes Tetun,...
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/tt.json

TLS OpenFactBook - Geography — 1 rows, 52 columns

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Field details — 52 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	14874.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	14874.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	253.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	706.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2963.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	23.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	71.0
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	350.0
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (39) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southeastern Asia, northwest of Australia in the Lesser...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	8 50 S, 125 55 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	8.0
`map_references_text`	map_references_text	string	0%	1	Southeast Asia
`area_total_text`	area_total_text	string	0%	1	14,874 sq km
`area_land_text`	area_land_text	string	0%	1	14,874 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly larger than Connecticut; almost half the size...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	253 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Indonesia 253 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	253.0
`coastline_text`	coastline_text	string	0%	1	706 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_fishing_zone_text`	maritime_claims_exclusive_fishing_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_fishing_zone_numeric`	maritime_claims_exclusive_fishing_zone_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical; hot, humid; distinct rainy and dry seasons
`terrain_text`	terrain_text	string	0%	1	mountainous
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Foho Tatamailau 2,963 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Timor Sea, Savu Sea, and Banda Sea 0 m
`natural_resources_text`	natural_resources_text	string	0%	1	gold, petroleum, natural gas, manganese, marble
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	23% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 7.5% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	7.5
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 5.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	5.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 10.1% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	10.1
+9 more extension fields — download the CSV/Parquet to see them all.

TLS OpenFactBook - Government — 1 rows, 99 columns

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Field details — 99 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (97) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Democratic Republic of Timor-Leste
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Timor-Leste
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republika Demokratika Timor Lorosa'e (Tetum)/ Republica...
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Timor Lorosa'e (Tetum)/ Timor-Leste (Portuguese)
`country_name_former_text`	country_name_former_text	string	0%	1	East Timor, Portuguese Timor
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name partly derives from the Indonesian and Malay...
`country_name_note`	country_name_note	string	0%	1	note: pronounced TEE-mor LESS-tay
`government_type_text`	government_type_text	string	0%	1	semi-presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Dili
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	8 35 S, 125 36 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	8.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+9 (14 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	9.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	12 municipalities (municipios, singular - municipio) and...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	12.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the Portuguese model
`constitution_history_text`	constitution_history_text	string	0%	1	drafted 2001, approved 22 March 2002, entered into force...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	2001.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by Parliament and parliamentary groups;...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Timor-Leste
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	no
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	10 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`suffrage_text`	suffrage_text	string	0%	1	17 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	17.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	President José RAMOS-HORTA (since 20 May 2022)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	20.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Prime Minister Kay Rala Xanana GUSMAO (since 1 July 2023)
+67 more extension fields — download the CSV/Parquet to see them all.

TLS OpenFactBook - Introduction — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	The island of Timor was actively involved in Southeast...
`background_numeric`	background_numeric	float	0%	1	14.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/tt.json

TLS OpenFactBook - Languages — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`languages_text`	languages_text	string	0%	1	Tetun Prasa 30.6%, Mambai 16.6%, Makasai 10.5%, Tetun...
`languages_numeric`	languages_numeric	float	0%	1	30.6
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/tt.json

TLS OpenFactBook - Military And Security — 1 rows, 25 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	Timor-Leste Defense Force (Falintil-Forcas de Defesa de...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	2.5% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	2.5
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	2.5% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.5
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.2% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.2
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.8% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.8
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 2,000 Defense Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	2000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military is lightly armed with a limited inventory...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	18 years of age for voluntary military service for men...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_note_text`	military_note_text	string	0%	1	the Timor-Leste Defense Force (F-FDTL) has both external...
`military_note_numeric`	military_note_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/tt.json

TLS OpenFactBook - People And Society — 1 rows, 145 columns

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Field details — 145 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	1404785.0
`population_male_numeric`	Population male	float	SEL	0%	1	693940.0
`population_female_numeric`	Population female	float	SEL	0%	1	710845.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	38.7
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	56.8
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	4.5
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	62.0
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	54.3
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	7.7
`median_age_total_numeric`	Median age	float	SEL	0%	1	23.0
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.28
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	23.39
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.86
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-3.73
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	32.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.31
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.07
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.99
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	192.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	41.9
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	70.5
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.79
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.35
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.75
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	72.5
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (117) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	1,404,785 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	693,940
`population_female_text`	population_female_text	string	0%	1	710,845
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	38.7% (male 299,929/female 283,416)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	56.8% (male 418,493/female 437,727)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	4.5% (2024 est.) (male 32,243/female 35,101)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	62 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	54.3 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	7.7 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	12.9 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	12.9
`median_age_total_text`	median_age_total_text	string	0%	1	23 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	19.8 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	19.8
`median_age_female_text`	median_age_female_text	string	0%	1	21.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	21.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.28% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	23.39 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.86 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-3.73 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	most of the population is concentrated in the western...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	32.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.31% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	281,000 DILI (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	281000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.07 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.06
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.96 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.96
+87 more extension fields — download the CSV/Parquet to see them all.

TLS OpenFactBook - Religions — 1 rows, 15 columns

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Field details — 15 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	7.1
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	-
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	-

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Catholic 90.7%, other 7.1%, Protestant Evangelical 1.9%;...
`religions_numeric`	religions_numeric	float	0%	1	90.7
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/tt.json

Pending (5) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_catholic_pct_synth`	Catholic	numeric	0%	-	90.7
`composition_religion_protestant_evangelical_1_9_islam_pct_synth`	Protestant Evangelical 1.9%; : Islam	numeric	0%	-	0.5
`composition_ethnicity_austronesian_malayo_polynesian_pct_synth`	Austronesian (Malayo-Polynesian)	numeric	0%	-	-
`composition_ethnicity_melanesian_papuan_pct_synth`	Melanesian-Papuan	numeric	0%	-	-
`composition_ethnicity_small_chinese_minority_pct_synth`	small Chinese minority	numeric	0%	-	-

TLS OpenFactBook - Transportation — 1 rows, 28 columns

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Field details — 28 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	SEL+	0%	1	4W
`airports_numeric`	Airports count	float	SEL	0%	1	11.0
`country_code`	Country code	string	SEL	0%	1	TLS
`country_name`	Country name	string	SEL	0%	1	Timor-Leste
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (23) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	4.0
`airports_text`	airports_text	string	0%	1	11 (2025)
`heliports_text`	heliports_text	string	0%	1	2 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	2.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	1 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	1.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	other 1
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	1 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	1.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	1
`ports_small_numeric`	ports_small_numeric	float	0%	1	1.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	0
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	0.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	0
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	0.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Dili
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/tt.json

TLS NGA GEOnet Names Server (GNS) TLS-NGA_GNS Language

7 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 18 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

TLS Nga Gns - Language — 6 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	TLS, TLS, TLS, TLS, TLS
`gns_language_code`	gns_language_code	string	CCL	0%	6	tet, por, ind, eng, fil
`gns_language_name`	gns_language_name	string	CCL	0%	6	Tetum, Portuguese, Indonesian, English, Filipino; Pilipino
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	6	67, 64, 34, 9, 4
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	6	37.4302, 35.7542, 18.9944, 5.0279, 2.2346
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, , , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, , , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0, 0, 0

TLS Nga Gns - Summary — 1 rows, 25 columns

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Field details — 25 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	TLS
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Timor-Leste
`gns_language_count`	gns_language_count	integer	CCL	0%	1	6
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9528
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	8478
`gns_feature_count`	gns_feature_count	integer	0%	1	6763
`gns_endonym_count`	gns_endonym_count	integer	0%	1	8474
`gns_exonym_count`	gns_exonym_count	integer	0%	1	4
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	3115
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	2283
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	3129
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	2890
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	147
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	15
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	2075
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	1567
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	10
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	6
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	2
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	2

TLS D-PLACE TLS-DPLACE Ethnographic Societies

1 rows · 1 table(s) D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

TLS D-PLACE - Dplace Ea Societies — 1 rows, 18 columns

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Field details — 18 fields (type, nulls, unique, samples)

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`society_id`	Society id	string	CCL	0%	1	Ic3
`society_name`	Society name	string	CCL	0%	1	Belu
`language_glottocode`	Language glottocode	string	CCL	0%	1	tetu1245
`language_name`	Language name	string	CCL	0%	1
`kinship_system`	Kinship system	string	CCL	0%	1	EA001:0; EA002:0; EA003:0; EA004:3; EA005:7
`marriage_pattern`	Marriage pattern	string	CCL	0%	1	EA006:1; EA007:8; EA008:8; EA009:6; EA010:5
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	1	EA028:3; EA029:6; EA030:6; EA031:NA; EA032:4
`political_complexity`	Political complexity	string	CCL	0%	1	EA033:2; EA034:NA; EA035:NA
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:NA; EA112:5
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA011:3; EA012:5; EA013:9

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	East Timor
`dataset`	dataset	string	0%	1	EA
`region`	region	string	0%	1
`latitude`	latitude	float	0%	1	-9.0
`longitude`	longitude	float	0%	1	126.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate

TLS Ethnic Power Relations Dataset TLS-EPR Political Ethnicity

1 rows · 1 table(s) Ethnic Power Relations Dataset 0 1 2 3 1 SEL 5 CCL 2 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

TLS EPR - Groups — 1 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	TLS
`ethnic_group_name`	Ethnic group name	string	CCL	0%	1	East Timorese
`ethnic_power_status`	Ethnic power status	string	CCL	0%	1	IRRELEVANT
`ethnic_population_share`	Ethnic population share	float	CCL	0%	1	1.0
`ethnic_group_id`	Ethnic group id	float	CCL	0%	1	86001000
`regional_autonomy`	Regional autonomy	string	CCL	0%	1

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	1	2021
`group_relevance`	group_relevance	string	0%	1

TLS GHS Urban Centre Database (EU JRC) TLS-GHSL_UCDB Modeled Population

1 rows · 1 table(s) GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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Locality Locality — 1 table(s)

TLS GHS-UCDB - Cities (locality) — 1 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`city_name`	Admin name	string	SEL	0%	1	Dili
`country_code`	Country code	string	SEL	0%	1	TLS
`population`	Population count	integer	SEL	0%	1	381794

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	1	186
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Timor-Leste
`population_year`	population_year	integer	0%	1	2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

TLS Global Organized Crime Index TLS-OCINDEX Crime Index

1 rows · 1 table(s) GI-TOC / ENACT 0 1 2 3 ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 1 table(s)

TLS Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 35 fields (type, nulls, unique, samples)

Extension Fields (35) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	0%	1	-
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	numeric	0%	1	-
`oc_criminality`	oc_criminality	numeric	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	0%	1	-
`oc_economic_regulatory_capacity`	oc_economic_regulatory_capacity	numeric	0%	1	-
`oc_extortion_and_protection_racketeering`	oc_extortion_and_protection_racketeering	numeric	0%	1	-
`oc_fauna_crimes`	oc_fauna_crimes	numeric	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	0%	1	-
`oc_flora_crimes`	oc_flora_crimes	numeric	0%	1	-
`oc_foreign_actors`	oc_foreign_actors	numeric	0%	1	-
`oc_government_transparency_and_accountability`	oc_government_transparency_and_accountability	numeric	0%	1	-
`oc_heroin_trade`	oc_heroin_trade	numeric	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	0%	1	-
`oc_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	numeric	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	0%	1	-
`oc_mafia_style_groups`	oc_mafia_style_groups	numeric	0%	1	-
`oc_national_policies_and_laws`	oc_national_policies_and_laws	numeric	0%	1	-
`oc_non_renewable_resource_crimes`	oc_non_renewable_resource_crimes	numeric	0%	1	-
`oc_non_state_actors`	oc_non_state_actors	numeric	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	0%	1	-
`oc_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
+5 more extension fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Timor-Leste

Build a download

Language	Place names	Share	Script
Tetum (tet)	67	37.4%	—
Portuguese (por)	64	35.8%	—
Indonesian (ind)	34	19.0%	—
English (eng)	9	5.0%	—
Filipino; Pilipino (fil)	4	2.2%	—
Tagalog (tgl)	1	0.6%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Global Data Lab	academic	api
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
World Bank Open Data	international_organization	api
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download