Bhutan

BTN World Bank Open Data BTN-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 3 table(s)

BTN 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	BT, BT, BT, BT, BT
`population_count`	Population count	float	SEL	2%	65	224084.0, 230602.0, 237636.0, 245156.0, 252987.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	36.367, 36.654, 36.992, 37.37, 37.796
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	18%	54	200.345229822469, 207.666560128876, 212.375150813633,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	94%	4	52.810001373291, 55.3199996948242, 66.5599975585938,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	15%	56	273.9, 267.4, 261.6, 255.2, 248.9
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	92%	5	31.7, 23.2, 12.0, 8.2, 12.4

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	Bhutan, Bhutan, Bhutan, Bhutan, Bhutan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

BTN 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	BT, BT, BT, BT, BT
`life_expectancy`	Life expectancy	float	SEL	3%	64	36.367, 36.654, 36.992, 37.37, 37.796
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	35	43.2, 42.4, 41.5, 40.5, 39.5
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	15%	56	273.9, 267.4, 261.6, 255.2, 248.9
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	969.0, 911.0, 857.0, 798.0, 747.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	6.704, 6.698, 6.692, 6.687, 6.682
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	48.763, 48.697, 48.599, 48.597, 48.559
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	26.952, 26.662, 26.305, 25.953, 25.559
`physicians_per_1000`	Physicians per 1000	float	SEL	70%	19	0.125, 0.102, 0.333, 0.17, 0.16
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	58%	20	1.70589995384216, 0.8467000127, 1.6147999763, 1.6000000238, 1.71
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	24	6.0, 13.0, 15.0, 16.0, 28.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	4.13867903, 4.60037947, 3.95161104, 3.83481455, 4.26397753

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	Bhutan, Bhutan, Bhutan, Bhutan, Bhutan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

BTN World Bank - Migration Indicators — 66 rows, 9 columns

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	BTN, BTN, BTN, BTN, BTN
`country_name`	country_name	string	0%	1	Bhutan, Bhutan, Bhutan, Bhutan, Bhutan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	23807.0, 27972.0, 32137.0, 40279.0, 48420.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	6	4.0, 5.1, 5.4, 6.1, 6.9
`net_migration`	net_migration	float	0%	45	1481.0, 1586.0, 2096.0, 2096.0, 2196.0
`remittances_received_usd`	remittances_received_usd	float	71%	19	2238933.57293967, 2933039.37670196, 3548930.80484922,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	71%	19	0.237456925733658, 0.233565392713783, 0.269364915726469,...
`remittances_paid_usd`	remittances_paid_usd	float	71%	19	75022491.0343193, 60503403.6793541, 61007916.2442119,...

BTN UNHCR Refugee Data Finder BTN-UNHCR Migration

36 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

BTN UNHCR - Hosted Populations — 1 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%	-	-

BTN UNHCR - Origin Populations — 35 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%	-	-

BTN Glottolog Language Catalog BTN-GLOTTOLOG Language

33 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

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0 Admin 0 — 1 table(s)

BTN Glottolog - Languages — 33 rows, 16 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	33	adap1234, assa1263, bhut1234, bori1243, brok1248
`name`	Name	string	CCL	0%	33	Adap, Assamese, Bhutanese Sign Language, Bori-Karko, Brokpake
`iso639_3`	Iso639 3	string	CCL	6%	31	adp, asm, adi, sgt, bro
`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%	5	book1242, indo1319, sign1238, sino1245, sino1245
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	21	book1242, assa1262, deaf1237, east2361, sout3217
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`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%	9	0, 5, 0, 5, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	33	27.141, 26.0876, 27.48405, 27.62812, 27.3438
`longitude`	longitude	float	0%	33	90.3369, 91.2932, 89.33058, 94.3538, 91.9972
`country_codes`	Country codes	string	0%	8	['BT'], ['BD', 'BT', 'IN'], ['BT'], ['BT', 'CN', 'IN'],...
`classification`	classification	string	0%	1	[], [], [], [], []

BTN LandScan Global (ORNL) BTN-LANDSCAN Modeled Population

22 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

BTN 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	BTN
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Bhutan
`admin_code`	Admin code	string	SEL	0%	1	95260433B17918647431984
`area_sqkm`	Area sqkm	float	SEL	0%	1	40330.6562
`pop_2024`	Population count	integer	SEL	0%	1	912301
`pop_density_2024`	Population density	float	SEL	0%	1	22.62

1 Admin 1 — 1 table(s)

BTN LandScan - Population Admin1 (admin_1) — 20 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	BTN, BTN, BTN, BTN, BTN
`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%	20	Thimpu, Chukha, Samtse, Sarpang, Paro
`admin_code`	Admin code	string	SEL	0%	20	66845921B82067974050695, 66845921B66499017593499,...
`area_sqkm`	Area sqkm	float	SEL	0%	20	1740.7634, 1782.3791, 1421.8671, 1593.0118, 1678.5201
`pop_2024`	Population count	integer	SEL	0%	20	180882, 114479, 85789, 66868, 59258
`pop_density_2024`	Population density	float	SEL	0%	20	103.91, 64.23, 60.34, 41.98, 35.3

Locality Locality — 1 table(s)

BTN 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	BTN
`admin_level`	Admin level	string	SEL	0%	1	locality
`admin_name`	Admin name	string	SEL	0%	1	Phuntsholing
`admin_code`	Admin code	integer	SEL	0%	1	170
`area_sqkm`	Area sqkm	float	SEL	0%	1	2.988
`pop_2024`	Population count	integer	SEL	0%	1	19364
`pop_density_2024`	Population density	float	SEL	0%	1	6480.59

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	76648
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	1	0.253

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

21 rows · 2 tables · 2024 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 SEL ▶

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0 Admin 0 — 1 table(s)

BTN COD PS - BTN Codps (admin_0) — 1 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	BT
`region_name`	Region name	string	SEL	0%	1	Bhutan
`F_TL`	Female population	integer	SEL	0%	1	372812
`M_TL`	Male population	integer	SEL	0%	1	404410
`T_TL`	Total population	integer	SEL	0%	1	777224

Pending (51) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2024
`year`	year	integer	0%	1	2024
`F_00_04`	Female population age 0-4	integer	0%	1	29320
`F_05_09`	Female population age 5-9	integer	0%	1	28068
`F_10_14`	Female population age 10-14	integer	0%	1	29603
`F_15_19`	Female population age 15-19	integer	0%	1	33088
`F_20_24`	Female population age 20-24	integer	0%	1	33782
`F_25_29`	Female population age 25-29	integer	0%	1	33358
`F_30_34`	Female population age 30-34	integer	0%	1	35875
`F_35_39`	Female population age 35-39	integer	0%	1	32443
`F_40_44`	Female population age 40-44	integer	0%	1	26967
`F_45_49`	Female population age 45-49	integer	0%	1	21060
`F_50_54`	Female population age 50-54	integer	0%	1	16784
`F_55_59`	Female population age 55-59	integer	0%	1	14156
`F_60_64`	Female population age 60-64	integer	0%	1	11412
`F_65_69`	Female population age 65-69	integer	0%	1	9857
`F_70_74`	Female population age 70-74	integer	0%	1	7064
`F_75Plus`	F_75Plus	integer	0%	1	9980
`M_00_04`	Male population age 0-4	integer	0%	1	30223
`M_05_09`	Male population age 5-9	integer	0%	1	28709
`M_10_14`	Male population age 10-14	integer	0%	1	30883
`M_15_19`	Male population age 15-19	integer	0%	1	33674
`M_20_24`	Male population age 20-24	integer	0%	1	33884
`M_25_29`	Male population age 25-29	integer	0%	1	37838
`M_30_34`	Male population age 30-34	integer	0%	1	42550
`M_35_39`	Male population age 35-39	integer	0%	1	37511
`M_40_44`	Male population age 40-44	integer	0%	1	30779
`M_45_49`	Male population age 45-49	integer	0%	1	24103
`M_50_54`	Male population age 50-54	integer	0%	1	19009
+21 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

BTN COD PS - BTN Codps (admin_1) — 20 rows, 56 columns

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Field details — 56 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	20	BT001, BT002, BT003, BT004, BT005
`region_name`	Region name	string	SEL	0%	20	Bumthang, Chhukha, Dagana, Gasa, Haa
`F_TL`	Female population	integer	SEL	0%	20	8993, 34107, 12430, 2071, 6307
`M_TL`	Male population	integer	SEL	0%	20	9506, 36098, 13637, 2365, 7578
`T_TL`	Total population	integer	SEL	0%	20	18499, 70205, 26067, 4435, 13884

Pending (51) — 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	2024, 2024, 2024, 2024, 2024
`year`	year	integer	0%	1	2024, 2024, 2024, 2024, 2024
`F_00_04`	Female population age 0-4	integer	0%	20	751, 2553, 920, 165, 503
`F_05_09`	Female population age 5-9	integer	0%	20	715, 2396, 946, 160, 473
`F_10_14`	Female population age 10-14	integer	0%	20	725, 2659, 1140, 196, 582
`F_15_19`	Female population age 15-19	integer	0%	19	741, 2995, 1093, 199, 641
`F_20_24`	Female population age 20-24	integer	0%	20	710, 3811, 803, 147, 459
`F_25_29`	Female population age 25-29	integer	0%	20	753, 3291, 898, 155, 514
`F_30_34`	Female population age 30-34	integer	0%	20	858, 3516, 1124, 184, 604
`F_35_39`	Female population age 35-39	integer	0%	20	790, 3237, 1066, 180, 565
`F_40_44`	Female population age 40-44	integer	0%	20	599, 2551, 972, 147, 420
`F_45_49`	Female population age 45-49	integer	0%	19	486, 1958, 807, 106, 348
`F_50_54`	Female population age 50-54	integer	0%	20	407, 1468, 672, 91, 268
`F_55_59`	Female population age 55-59	integer	0%	20	337, 1035, 583, 76, 253
`F_60_64`	Female population age 60-64	integer	0%	19	293, 823, 467, 84, 204
`F_65_69`	Female population age 65-69	integer	0%	19	264, 718, 389, 59, 187
`F_70_74`	Female population age 70-74	integer	0%	20	226, 469, 244, 52, 121
`F_75Plus`	F_75Plus	integer	0%	20	339, 627, 307, 72, 163
`M_00_04`	Male population age 0-4	integer	0%	20	781, 2607, 1009, 175, 555
`M_05_09`	Male population age 5-9	integer	0%	20	759, 2447, 1033, 173, 486
`M_10_14`	Male population age 10-14	integer	0%	20	775, 2682, 1313, 202, 596
`M_15_19`	Male population age 15-19	integer	0%	19	782, 2981, 1267, 234, 774
`M_20_24`	Male population age 20-24	integer	0%	20	720, 3362, 863, 196, 554
`M_25_29`	Male population age 25-29	integer	0%	20	882, 3367, 969, 220, 643
`M_30_34`	Male population age 30-34	integer	0%	20	1010, 3820, 1246, 254, 922
`M_35_39`	Male population age 35-39	integer	0%	20	871, 3591, 1132, 234, 806
`M_40_44`	Male population age 40-44	integer	0%	20	707, 2866, 1009, 160, 590
`M_45_49`	Male population age 45-49	integer	0%	20	500, 2308, 852, 131, 465
`M_50_54`	Male population age 50-54	integer	0%	20	384, 1921, 660, 106, 304
+21 more pending fields — download the CSV/Parquet to see them all.

BTN OpenFactBook BTN-OPENFACTBOOK Country Profile

14 rows · 14 tables · 2024 OpenFactBook 0 1 2 3 90 SEL 2 CCL 513 ext ▶

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0 Admin 0 — 14 table(s)

BTN OpenFactBook - Communications — 1 rows, 21 columns

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

Standards-Aligned Fields (7)

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	0.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	100.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	88.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	1.0
`country_code`	Country code	string	SEL	0%	1	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (15) — 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	0 (2024 est.) no service
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	0.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	0 (2024 est.) no service
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	790,000 (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	790000.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	100 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-owned TV station established in 1999; cable TV...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	1999.0
`internet_country_code_text`	Internet country code text	string	0%	1	.bt
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	88% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	10,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	10000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

BTN OpenFactBook - Economy — 1 rows, 149 columns

Loading data…

Field details — 155 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	3.019
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	12.4
`country_code`	Country code	string	SEL	0%	1	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (150) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	hydropower investments spurring economic development;...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	-19.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$11.517 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	11.517
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$10.981 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	10.981
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text`	Real gdp purchasing power parity 2021 (text)	string	0%	1	$10.437 billion (2021 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_numeric`	Real gdp purchasing power parity 2021 (numeric)	float	0%	1	10.437
`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_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	4.9% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	4.9
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	5.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	5.2
`real_gdp_growth_rate_real_gdp_growth_rate_2021_text`	Real gdp growth rate 2021 (text)	string	0%	1	4.4% (2021 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2021_numeric`	Real gdp growth rate 2021 (numeric)	float	0%	1	4.4
`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_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$14,600 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	14600.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$14,100 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	14100.0
`real_gdp_per_capita_real_gdp_per_capita_2021_text`	Real gdp per capita 2021 (text)	string	0%	1	$13,500 (2021 est.)
`real_gdp_per_capita_real_gdp_per_capita_2021_numeric`	Real gdp per capita 2021 (numeric)	float	0%	1	13500.0
`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	$3.019 billion (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2.8% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	4.2% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	4.2
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	5.6% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	5.6
+120 more extension fields — download the CSV/Parquet to see them all.

BTN OpenFactBook - Energy — 1 rows, 31 columns

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Field details — 31 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	100.0
`country_code`	Country code	string	SEL	0%	1	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (27) — 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	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	2.344 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	2.344
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	11.914 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	11.914
`electricity_exports_text`	electricity_exports_text	string	0%	1	6 billion kWh (2020 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	6.0
`electricity_imports_text`	electricity_imports_text	string	0%	1	834.7 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	834.7
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	86.681 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	86.681
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	100% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	100.0
`coal_production_text`	coal_production_text	string	0%	1	4,000 metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	4000.0
`coal_consumption_text`	coal_consumption_text	string	0%	1	105,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	105000.0
`coal_exports_text`	coal_exports_text	string	0%	1	54 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	54.0
`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_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	4,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	4000.0
`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	64.082 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	64.082
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

BTN OpenFactBook - Environment — 1 rows, 42 columns

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Field details — 45 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	13.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	70.6
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	44.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.52
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	111300.0
`country_code`	Country code	string	SEL	0%	1	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (37) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	soil erosion; limited access to potable water; wildlife...
`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	Law of the Sea
`climate_text`	climate_text	string	0%	1	varies; tropical in southern plains; cool winters and...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	13.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 2.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	2.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 10.8% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	10.8
`land_use_forest_text`	land_use_forest_text	string	0%	1	70.6% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	15.6% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	15.6
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	44.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.52% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	733,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	733000.0
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	241,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	241000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	492,000 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	492000.0
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	26.4 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	26.4
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	111,300 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	1.7% (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	1.7
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	17 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	17.0
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	3 million cubic meters (2022 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

BTN OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 9 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	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Bhutanese (singular and plural)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Bhutanese
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Ngalop (also known as Bhote) 50%, ethnic Nepali 35%...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	50.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

BTN OpenFactBook - Geography — 1 rows, 46 columns

Loading data…

Field details — 48 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	38394.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	38394.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	1136.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	7570.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	97.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	13.8
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	70.6
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	320.0
`country_code`	Country code	string	SEL	0%	1	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`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
`location_text`	location_text	string	0%	1	Southern Asia, between China and India
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	27 30 N, 90 30 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	27.0
`map_references_text`	map_references_text	string	0%	1	Asia
`area_total_text`	area_total_text	string	0%	1	38,394 sq km
`area_land_text`	area_land_text	string	0%	1	38,394 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 Maryland; about one-half the size of Indiana
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	1,136 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	China 477 km; India 659 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	477.0
`coastline_text`	coastline_text	string	0%	1	0 km (landlocked)
`maritime_claims_text`	maritime_claims_text	string	0%	1	none (landlocked)
`climate_text`	climate_text	string	0%	1	varies; tropical in southern plains; cool winters and...
`terrain_text`	terrain_text	string	0%	1	mostly mountainous with some fertile valleys and savanna
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Gangkar Puensum 7,570 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Drangeme Chhu 97 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	2,220 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	2220.0
`natural_resources_text`	natural_resources_text	string	0%	1	timber, hydropower, gypsum, calcium carbonate
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	13.8% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 2.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	2.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 10.8% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	10.8
`land_use_forest_text`	land_use_forest_text	string	0%	1	70.6% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	15.6% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	15.6
+5 more extension fields — download the CSV/Parquet to see them all.

BTN OpenFactBook - Government — 1 rows, 76 columns

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Field details — 94 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	BTN
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (92) — 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	Kingdom of Bhutan
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Bhutan
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Druk Gyalkhap
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Druk Yul
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name may derive from the Sanskrit words bhoṭa, the name...
`government_type_text`	government_type_text	string	0%	1	constitutional monarchy
`capital_name_text`	capital_name_text	string	0%	1	Thimphu
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	27 28 N, 89 38 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	27.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+6 (11 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	6.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the origins of the name are unclear; the traditional...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	14.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	20 districts (dzongkhag, singular and plural); Bumthang,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	20.0
`legal_system_text`	legal_system_text	string	0%	1	civil law based on Buddhist religious law
`constitution_history_text`	constitution_history_text	string	0%	1	previous governing documents were various royal decrees;...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	2001.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed as a motion by simple majority vote in a joint...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	has not submitted an ICJ jurisdiction declaration;...
`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	the father must be a citizen of Bhutan
`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	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	King Jigme Khesar Namgyel WANGCHUCK (since 14 December 2006)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	14.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	Prime Minister Tshering TOBGAY (since 28 January 2024)
+62 more extension fields — download the CSV/Parquet to see them all.

BTN OpenFactBook - Introduction — 1 rows, 6 columns

Loading data…

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	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`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	After Britain’s victory in the 1865 Duar War, Britain...
`background_numeric`	background_numeric	float	0%	1	1865.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

BTN OpenFactBook - Languages — 1 rows, 6 columns

Loading data…

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	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`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	Sharchopkha 28%, Dzongkha (official) 24%, Lhotshamkha...
`languages_numeric`	languages_numeric	float	0%	1	28.0
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

BTN OpenFactBook - Migration — 1 rows, 7 columns

Loading data…

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	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`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
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	138 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	138.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

BTN OpenFactBook - Military And Security — 1 rows, 12 columns

Loading data…

Field details — 17 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	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`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
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	Royal Bhutan Army (RBA; includes Royal Bodyguard of...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimated 7-8,000 active Royal Bhutan Army (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	7.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Royal Bhutan Army is lightly armed; it has a small...
`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_deployments_text`	military_deployments_text	string	0%	1	180 Central African Republic (MINUSCA) (2025)
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	180.0
`military_note_text`	military_note_text	string	0%	1	the Army is responsible for external threats but also...
`military_note_numeric`	military_note_numeric	float	0%	1	2007.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

BTN OpenFactBook - People And Society — 1 rows, 131 columns

Loading data…

Field details — 143 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	892877.0
`population_male_numeric`	Population male	float	SEL	0%	1	461679.0
`population_female_numeric`	Population female	float	SEL	0%	1	431198.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	23.1
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	70.2
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	6.7
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	42.1
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	32.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	9.7
`median_age_total_numeric`	Median age	float	SEL	0%	1	31.2
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.93
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	15.05
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.75
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	0.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	44.4
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.52
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.07
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	47.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	23.0
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	73.7
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.75
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.85
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.55
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	2.2
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	64.9
`country_code`	Country code	string	SEL	0%	1	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (114) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	892,877 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	461,679
`population_female_text`	population_female_text	string	0%	1	431,198
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	23.1% (male 104,771/female 99,981)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	70.2% (male 322,497/female 298,324)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	6.7% (2024 est.) (male 30,397/female 28,576)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	42.1 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	32.4 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	9.7 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	10.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	10.3
`median_age_total_text`	median_age_total_text	string	0%	1	31.2 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	31.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	31.1
`median_age_female_text`	median_age_female_text	string	0%	1	30.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	30.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.93% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	15.05 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.75 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	0 migrant(s)/1,000 population (2025 est.)
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	44.4% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.52% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	203,000 THIMPHU (capital) (2018)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	203000.0
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.08 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.08
`sex_ratio_65_years_and_over_text`	sex_ratio_65_years_and_over_text	string	0%	1	1.06 male(s)/female
+84 more extension fields — download the CSV/Parquet to see them all.

BTN OpenFactBook - Religions — 1 rows, 6 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	2.6
`composition_ethnicity_primary_label_synth`	Ngalop (also known as Bhote)	string	CCL	0%	-	Ngalop (also known as Bhote)

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	Lamaistic Buddhist 75.3%, Indian- and Nepali-influenced...
`religions_numeric`	religions_numeric	float	0%	1	75.3
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

Pending (6) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_lamaistic_buddhist_pct_synth`	Lamaistic Buddhist	numeric	0%	-	75.3
`composition_religion_indian_and_nepali_influenced_hinduism_pct_synth`	Indian- and Nepali-influenced Hinduism	numeric	0%	-	22.1
`composition_ethnicity_ngalop_also_known_as_bhote_pct_synth`	Ngalop (also known as Bhote)	numeric	0%	-	50.0
`composition_ethnicity_ethnic_nepali_pct_synth`	ethnic Nepali	numeric	0%	-	35.0
`composition_ethnicity_indigenous_or_migrant_tribes_pct_synth`	indigenous or migrant tribes	numeric	0%	-	15.0
`composition_ethnicity_primary_share_pct_synth`	Ngalop (also known as Bhote)	numeric	0%	-	50.0

BTN OpenFactBook - Transportation — 1 rows, 11 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	4.0
`country_code`	Country code	string	SEL	0%	1	BTN
`country_name`	Country name	string	SEL	0%	1	Bhutan
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	A5
`civil_aircraft_registration_country_code_prefix_numeric`	civil_aircraft_registration_country_code_prefix_numeric	float	0%	1	5.0
`airports_text`	airports_text	string	0%	1	4 (2025)
`heliports_text`	heliports_text	string	0%	1	8 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	8.0
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-asia/bt.json

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

5 rows · 2 tables · 2026 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)

BTN NGA GNS - Language — 4 rows, 9 columns

Loading data…

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	BTN, BTN, BTN, BTN
`gns_language_code`	gns_language_code	string	CCL	0%	4	zho, eng, nep, dzo
`gns_language_name`	gns_language_name	string	CCL	0%	4	Chinese, English, Nepali, Dzongkha
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	2	2, 2, 2, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	2	28.5714, 28.5714, 28.5714, 14.2857
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	2	1, 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

BTN NGA GNS - Summary — 1 rows, 25 columns

Loading data…

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	BTN
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Bhutan
`gns_language_count`	gns_language_count	integer	CCL	0%	1	4
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	100.0
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	1

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	624
`gns_feature_count`	gns_feature_count	integer	0%	1	340
`gns_endonym_count`	gns_endonym_count	integer	0%	1	624
`gns_exonym_count`	gns_exonym_count	integer	0%	1	0
`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_populated_places`	gns_name_count_populated_places	integer	0%	1	330
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	226
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	118
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	49
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	79
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	26
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	21
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	16
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	72
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	22
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	4
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1

BTN D-PLACE BTN-DPLACE Ethnographic Societies

2 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 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)

BTN D-PLACE - Dplace Ea Societies — 1 rows, 23 columns

Loading data…

Field details — 23 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	BTN
`society_id`	Society id	string	CCL	0%	1	Ee7
`society_name`	Society name	string	CCL	0%	1	Kachari
`language_glottocode`	Language glottocode	string	CCL	0%	1	kach1279
`language_name`	Language name	string	CCL	0%	1
`kinship_system`	Kinship system	string	CCL	0%	1	EA017:4; EA018:1; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	1	EA006:1; EA007:8; EA008:7; EA009:2; EA023:NA; EA025:NA
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	1	EA001:0; EA002:1; EA003:1; EA004:1; EA005:7; EA028:NA;...
`political_complexity`	Political complexity	string	CCL	0%	1	EA032:NA; EA033:NA
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:NA; EA112:NA
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA010:8; EA011:1; EA012:8; EA013:2; EA014:6
`settlement_pattern`	settlement_pattern	string	CCL	0%	1	EA030:NA; EA031:NA

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Bhutan
`dataset`	dataset	string	0%	1	EA
`region`	region	string	0%	1
`latitude`	latitude	float	0%	1	27.0
`longitude`	longitude	float	0%	1	90.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and Environment
`source_url`	source_url	string	0%	1	https://d-place.org
`license`	license	string	0%	1	CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024

BTN D-PLACE - Dplace Ea Societies Decoded — 1 rows, 49 columns

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Field details — 49 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	BTN
`society_id`	society_id	string	CCL	0%	1	Ee7
`society_name`	society_name	string	CCL	0%	1	Kachari
`language_glottocode`	language_glottocode	string	CCL	0%	1	kach1279
`language_name`	language_name	string	CCL	0%	1

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Bhutan
`dataset`	dataset	string	0%	1	EA
`region`	region	string	0%	1
`latitude`	latitude	float	0%	1	27.0
`longitude`	longitude	float	0%	1	90.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and Environment
`source_url`	source_url	string	0%	1	https://d-place.org
`license`	license	string	0%	1	CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	string	100%	-	-
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	string	100%	-	-
`religion_high_gods`	religion_high_gods	string	100%	-	-
`trance_states`	trance_states	string	100%	-	-
`settlement_patterns`	settlement_patterns	string	100%	-	-
`mean_size_of_local_communities`	mean_size_of_local_communities	string	100%	-	-
`marital_residence_first_years`	marital_residence_first_years	integer	0%	1	8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	1	1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	1	8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	1	2
`marital_residence_alternate`	marital_residence_alternate	integer	0%	1	6
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	1	4
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	1	1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	1	1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	1	9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	0%	1	8
`descent_major_type`	descent_major_type	integer	0%	1	1
+14 more extension fields — download the CSV/Parquet to see them all.

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

1 row · 1 table · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

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

Locality Locality — 1 table(s)

BTN 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	Phuntsholing
`country_code`	Country code	string	SEL	0%	1	BTN
`population`	Population count	integer	SEL	0%	1	76648

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	170
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Bhutan
`population_year`	population_year	integer	0%	1	2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

BTN INFORM Risk Index (EC-JRC) BTN-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 274 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

BTN Inform - Risk Index — 1 rows, 274 columns

Loading data…

Field details — 274 fields (type, nulls, unique, samples)

Pending (274) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	BTN
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	0.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	38394.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.0
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.206902543535761
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	6.1
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	3.27508759498596
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	4.2
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	3.7
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	4.3
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	7.9
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	0.3
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	0.2
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	0.5
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	0.2
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.5
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	8.6
`inform_cc_inf_com`	Communication	float	0%	1	3.1
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	5.1
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	6.4
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	0.9
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	3.8
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.1
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.7
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	1.5
`inform_institutional_capacity`	Institutional	float	0%	1	4.7
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	6.0
+244 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
Chinese (zho)	2	28.6%	—
English (eng)	2	28.6%	—
Nepali (nep)	2	28.6%	—
Dzongkha (dzo)	1	14.3%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
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