Mongolia

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

361 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)

MNG Cod Ps - Mng Codps (admin_0) — 339 rows, 13 columns

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Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	MN, MN, MN, MN, MN
`region_name`	Region name	string	SEL	0%	92	Baganuur, Bagaxangai, Bayangol, Bayanzu'rx, Nalaix
`F_TL`	Female population	integer	SEL	0%	99	14862, 2027, 117823, 174322, 19153
`M_TL`	Male population	integer	SEL	0%	100	13925, 2073, 103561, 162610, 17758
`T_TL`	Total population	integer	SEL	0%	100	28787, 4100, 221384, 336932, 36911

Pending (8) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	integer	0%	1	2017, 2017, 2017, 2017, 2017
`Adm0_en`	Adm0_en	string	0%	1	Mongolia, Mongolia, Mongolia, Mongolia, Mongolia
`Adm0_mn`	Adm0_mn	string	0%	1	монгол, монгол, монгол, монгол, монгол
`Region`	Region	string	0%	2	Eastern region, Eastern region, Eastern region, Eastern...
`ADM1_MN`	ADM1_MN	string	0%	7	Улаанбаатар, Улаанбаатар, Улаанбаатар, Улаанбаатар, Улаанбаатар
`ADM2_MN`	ADM2_MN	string	0%	91	Багануур, Багахангай, Баянгол, Баянзүрх, Налайх
`ADM2_PCODE`	ADM2_PCODE	string	0%	100	MN1101, MN1104, MN1107, MN1110, MN1113

1 Admin 1 — 1 table(s)

MNG Cod Ps - Mng Codps (admin_1) — 22 rows, 55 columns

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Field details — 55 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	22	MN83, MN82, MN81, MN85, MN84
`region_name`	Region name	string	SEL	0%	22	Bayan-Olgii, Govi-Altai, Zavkhan, Uvs, Khovd
`T_TL`	Total population	integer	SEL	0%	22	103003, 56908, 70244, 79857, 88738
`M_TL`	Male population	integer	SEL	0%	22	51334, 28559, 35562, 40669, 44601
`F_TL`	Female population	integer	SEL	0%	22	51669, 28349, 34681, 39188, 44137

Pending (50) — 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	2021, 2021, 2021, 2021, 2021
`ADM0_EN`	ADM0_EN	string	0%	1	Mongolia, Mongolia, Mongolia, Mongolia, Mongolia
`ADM0_MN`	ADM0_MN	string	0%	1	монгол, монгол, монгол, монгол, монгол
`ADM1_MN`	ADM1_MN	string	0%	22	Баян-Өлгий, Говь-Алтай, Завхан, Увс, Ховд
`T_00_04`	Total population age 0-4	integer	0%	21	14626, 6006, 7172, 10135, 11684
`T_05_09`	Total population age 5-9	integer	0%	22	12155, 6136, 7223, 9386, 9940
`T_10_14`	Total population age 10-14	integer	0%	22	10038, 5227, 6719, 8092, 8157
`T_15_19`	Total population age 15-19	integer	0%	22	9565, 4524, 5263, 6859, 7388
`T_20_24`	Total population age 20-24	integer	0%	22	8850, 5090, 5976, 6897, 8605
`T_25_29`	Total population age 25-29	integer	0%	22	8504, 4724, 5878, 6208, 7889
`T_30_34`	Total population age 30-34	integer	0%	22	8013, 4284, 4974, 5632, 6762
`T_35_39`	Total population age 35-39	integer	0%	22	6623, 4040, 5051, 4976, 5499
`T_40_44`	Total population age 40-44	integer	0%	22	5769, 3903, 5004, 4742, 5216
`T_45_49`	Total population age 45-49	integer	0%	22	5233, 3567, 4573, 4615, 4692
`T_50_54`	Total population age 50-54	integer	0%	21	4257, 3030, 3914, 4219, 3989
`T_55_59`	Total population age 55-59	integer	0%	22	3489, 2382, 3125, 3276, 3453
`T_60_64`	Total population age 60-64	integer	0%	22	2528, 1784, 2329, 2117, 2431
`T_65_69`	Total population age 65-69	integer	0%	22	1383, 905, 1172, 1077, 1291
`T_70Plus`	T_70Plus	integer	0%	22	1970, 1307, 1871, 1627, 1743
`M_00_04`	Male population age 0-4	integer	0%	22	7347, 3008, 3617, 5096, 5880
`M_05_09`	Male population age 5-9	integer	0%	22	6168, 3199, 3802, 4890, 5185
`M_10_14`	Male population age 10-14	integer	0%	20	5051, 2716, 3456, 4169, 4234
`M_15_19`	Male population age 15-19	integer	0%	22	4779, 2314, 2765, 3539, 3765
`M_20_24`	Male population age 20-24	integer	0%	22	4411, 2679, 3132, 3602, 4376
`M_25_29`	Male population age 25-29	integer	0%	22	4248, 2372, 3071, 3358, 3996
`M_30_34`	Male population age 30-34	integer	0%	22	4099, 2239, 2573, 2977, 3439
`M_35_39`	Male population age 35-39	integer	0%	22	3349, 2058, 2539, 2579, 2825
`M_40_44`	Male population age 40-44	integer	0%	22	2921, 1966, 2518, 2412, 2621
`M_45_49`	Male population age 45-49	integer	0%	22	2513, 1807, 2335, 2304, 2299
+20 more pending fields — download the CSV/Parquet to see them all.

MNG Global Data Lab MNG-GDL Development Indices

204 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)

MNG GDL - Subnational Indices — 204 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	MNG, MNG, MNG, MNG, MNG
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	6	Total, Central (Dornogovi, Dundgovi, Umnugovi, Selenge,...
`human_development_index`	Human development index	float	SEL	0%	83	0.592, 0.588, 0.569, 0.555, 0.656
`health_index`	Health index	float	SEL	0%	73	0.597, 0.63, 0.602, 0.593, 0.639
`education_index`	Education index	float	SEL	0%	90	0.563, 0.53, 0.517, 0.52, 0.63
`income_index`	Income index	float	SEL	0%	85	0.617, 0.61, 0.591, 0.553, 0.703
`life_expectancy`	Life expectancy	float	SEL	0%	98	58.82, 60.93, 59.11, 58.54, 61.55
`mean_years_schooling`	Mean years schooling	float	SEL	0%	99	8.442, 8.13, 7.854, 7.65, 9.634

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	17	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

MNG UNHCR Refugee Data Finder MNG-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)

MNG 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%	-	-

MNG 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%	-	-

MNG World Bank Open Data MNG-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)

MNG 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	MN, MN, MN, MN, MN
`population_count`	Population count	float	SEL	2%	65	977595.0, 1009284.0, 1041444.0, 1071362.0, 1100234.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	44.5310487804878, 45.3926829268293, 46.2474146341463,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	32%	45	1235.14422497627, 1325.46680536613, 1429.62551800828,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	88%	8	97.7699966430664, 98.2600021362305, 96.9000015258789,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	30%	46	173.4, 167.0, 160.9, 155.3, 149.8
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	88%	8	38.8, 33.7, 27.4, 21.6, 29.6

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

MNG 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	MN, MN, MN, MN, MN
`life_expectancy`	Life expectancy	float	SEL	3%	64	44.5310487804878, 45.3926829268293, 46.2474146341463,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	42%	34	29.7, 29.5, 29.4, 29.4, 29.3
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	30%	46	173.4, 167.0, 160.9, 155.3, 149.8
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	34	352.0, 346.0, 341.0, 335.0, 311.0
`fertility_rate`	Fertility rate	float	SEL	3%	46	6.817, 6.963, 7.098, 7.238, 7.329
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	44.129, 44.177, 44.118, 44.158, 43.989
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	60	22.928, 22.506, 22.072, 21.624, 20.979
`physicians_per_1000`	Physicians per 1000	float	SEL	53%	31	0.91, 1.378, 1.729, 2.538, 2.695
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	56%	28	8.681960105896, 9.49520015716553, 11.1971998214722,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	17	76.0, 78.0, 79.0, 79.0, 77.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	6.07605076, 5.4423995, 5.49190998, 4.29768944, 4.30204487

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

MNG LandScan Global (ORNL) MNG-LANDSCAN Modeled Population

25 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)

MNG 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	MNG
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Mongolia
`admin_code`	Admin code	string	SEL	0%	1	74336971B39832911189143
`area_sqkm`	Area sqkm	float	SEL	0%	1	1565200.1921
`pop_2024`	Population count	integer	SEL	0%	1	3281522
`pop_density_2024`	Population density	float	SEL	0%	1	2.1

1 Admin 1 — 1 table(s)

MNG LandScan - Population Admin1 (admin_1) — 22 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	MNG, MNG, MNG, MNG, MNG
`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%	22	Ulaanbaatar, Hovsgel, Övörkhangai, Selenge, Bayan-Ölgii
`admin_code`	Admin code	string	SEL	0%	22	14279143B69842940795179, 14279143B20985490361275,...
`area_sqkm`	Area sqkm	float	SEL	0%	22	4759.596, 102116.9302, 63000.1987, 41938.2943, 46101.8865
`pop_2024`	Population count	integer	SEL	0%	22	1494861, 138724, 118137, 110365, 108228
`pop_density_2024`	Population density	float	SEL	0%	20	314.07, 1.36, 1.88, 2.63, 2.35

Locality Locality — 1 table(s)

MNG LandScan - Cities (locality) — 2 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	MNG, MNG
`admin_level`	Admin level	string	SEL	0%	1	locality, locality
`admin_name`	Admin name	string	SEL	0%	2	Ulaanbaatar, Erdenet
`admin_code`	Admin code	integer	SEL	0%	2	337, 168
`area_sqkm`	Area sqkm	float	SEL	0%	2	235.1575, 18.0171
`pop_2024`	Population count	integer	SEL	0%	2	970038, 65297
`pop_density_2024`	Population density	float	SEL	0%	2	4125.06, 3624.17

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%	2	1634097, 97743
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	2	0.594, 0.668

MNG National Statistics Office of Mongolia (NSO) MNG-NSO_MONGOLIA Census

23 rows · 2 table(s) National Statistics Office of Mongolia (NSO) 0 1 2 3 8 SEL 4 ext ▶

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0 Admin 0 — 1 table(s)

MNG Nso Mongolia - Mng Population (admin_0) — 1 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	1	MNG
`admin_name`	Admin name	string	SEL	0%	1	Mongolia
`population_count`	Population count	integer	SEL	0%	1	3572835
`household_count`	Household count	integer	SEL	0%	1	1011078

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	integer	0%	1	2025

1 Admin 1 — 1 table(s)

MNG Nso Mongolia - Mng Population (admin_1) — 22 rows, 6 columns

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Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	22	bayan_ulgii, govi_altai, zavkhan, uvs, khovd
`admin_name`	Admin name	string	SEL	0%	22	Bayan-Ulgii, Govi-Altai, Zavkhan, Uvs, Khovd
`population_count`	Population count	integer	SEL	0%	22	119138, 56752, 70926, 85245, 93094
`household_count`	Household count	integer	SEL	0%	22	26382, 16359, 21586, 22805, 24294

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

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`	year	integer	0%	1	2025, 2025, 2025, 2025, 2025

MNG Glottolog Language Catalog MNG-GLOTTOLOG Language

19 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)

MNG Glottolog - Languages — 19 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%	19	chin1476, daur1238, even1259, halh1238, kalm1243
`name`	Name	string	CCL	0%	19	China Buriat, Dagur, Evenki, Halh Mongolian, Oirad-Kalmyk-Darkhat
`iso639_3`	Iso639 3	string	CCL	5%	18	bxu, dta, evn, khk, xal
`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%	8	mong1349, mong1349, tung1282, mong1349, mong1349
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	14	buri1258, mong1329, nort3147, mong1331, mong1331
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	10	['CN', 'MN', 'RU'], ['CN', 'KZ', 'MN'], ['CN', 'MN',...
`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%	13	1, 8, 24, 5, 21

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	19	48.7593, 48.0, 61.972, 48.32397, 46.566667
`longitude`	longitude	float	0%	19	117.786, 124.0, 94.689, 106.28874, 45.316667
`classification`	classification	string	0%	1	[], [], [], [], []

MNG OpenFactBook MNG-OPENFACTBOOK Country Profile

14 rows · 14 table(s) OpenFactBook 0 1 2 3 93 SEL 5 CCL 580 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 — 14 table(s)

MNG 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	15.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	142.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.mn
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	83.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	15.0
`country_code`	Country code	string	SEL	0%	1	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`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	524,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	524000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	15 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	4.84 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	4.84
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	142 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	state-run radio and TV provider is now a public-service...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	68.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	83% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	499,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	499000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	15 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mg.json

MNG OpenFactBook - Economy — 1 rows, 155 columns

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

Standards-Aligned Fields (6)

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	16800.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	23.586
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	27.1
`country_code`	Country code	string	SEL	0%	1	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (149) — 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 East Asian economy; large human...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	3.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$59.221 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	59.221
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$56.474 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	56.474
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$52.572 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	52.572
`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	4.9% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	4.9
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	7.4% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	7.4
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	5% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	5.0
`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	$16,800 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$16,200 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	16200.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$15,300 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	15300.0
`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	$23.586 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	6.8% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	6.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	10.3% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	10.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	15.1% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	15.1
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+119 more extension fields — download the CSV/Parquet to see them all.

MNG OpenFactBook - Energy — 1 rows, 41 columns

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Field details — 41 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	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`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
`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	1.51 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	1.51
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	8.997 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	8.997
`electricity_exports_text`	electricity_exports_text	string	0%	1	24 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	24.0
`electricity_imports_text`	electricity_imports_text	string	0%	1	2.224 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	2.224
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	1.113 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	1.113
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	90.4% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	90.4
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	2.4% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	2.4
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	6.4% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	6.4
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	0.8% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	0.8
`coal_production_text`	coal_production_text	string	0%	1	64.824 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	64.824
`coal_consumption_text`	coal_consumption_text	string	0%	1	8.941 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	8.941
`coal_exports_text`	coal_exports_text	string	0%	1	55.884 million metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	55.884
`coal_imports_text`	coal_imports_text	string	0%	1	900 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	900.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	2.52 billion metric tons (2023 est.)
`coal_proven_reserves_numeric`	coal_proven_reserves_numeric	float	0%	1	2.52
`petroleum_total_petroleum_production_text`	petroleum_total_petroleum_production_text	string	0%	1	15,000 bbl/day (2023 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

MNG OpenFactBook - Environment — 1 rows, 53 columns

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Field details — 53 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	69.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	9.1
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	69.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.4
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	2.9
`country_code`	Country code	string	SEL	0%	1	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (45) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	limited natural freshwater resources in some areas; air...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic Treaty, Biodiversity, Climate Change, Climate...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	none of the selected agreements
`climate_text`	climate_text	string	0%	1	desert; continental (large daily and seasonal temperature ranges)
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	69% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 0.7% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	0.7
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 68.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	68.2
`land_use_forest_text`	land_use_forest_text	string	0%	1	9.1% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	21.9% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	21.9
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	69.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.4% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	19.203 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	19.203
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	13.489 million 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	13.489
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	5.714 million 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	5.714
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	41.3 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	41.3
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	532.2 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	532.2
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	525.2 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	525.2
`methane_emissions_waste_text`	methane_emissions_waste_text	string	0%	1	14.2 kt (2019-2021 est.)
`methane_emissions_waste_numeric`	methane_emissions_waste_numeric	float	0%	1	14.2
+15 more extension fields — download the CSV/Parquet to see them all.

MNG OpenFactBook - Ethnic Groups — 1 rows, 9 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	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`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	Mongolian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Mongolian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Khalkh 83.8%, Kazak 3.8%, Durvud 2.6%, Bayad 2%, Buriad...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	83.8
`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/mg.json

MNG OpenFactBook - Geography — 1 rows, 55 columns

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Field details — 55 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	1564116.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	1553556.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	10560.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	8082.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	4374.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	560.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	69.0
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	9.1
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	796.0
`country_code`	Country code	string	SEL	0%	1	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (42) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Northern Asia, between China and Russia
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	46 00 N, 105 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	46.0
`map_references_text`	map_references_text	string	0%	1	Asia
`area_total_text`	area_total_text	string	0%	1	1,564,116 sq km
`area_land_text`	area_land_text	string	0%	1	1,553,556 sq km
`area_water_text`	area_water_text	string	0%	1	10,560 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than Alaska; more than twice the size of Texas
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	8,082 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	China 4,630 km; Russia 3,452 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	4630.0
`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	desert; continental (large daily and seasonal temperature ranges)
`terrain_text`	terrain_text	string	0%	1	vast semidesert and desert plains, grassy steppe,...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Nayramadlin Orgil (Khuiten Peak) 4,374 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Hoh Nuur 560 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	1,528 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	1528.0
`natural_resources_text`	natural_resources_text	string	0%	1	oil, coal, copper, molybdenum, tungsten, phosphates,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	69% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 0.7% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	0.7
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 68.2% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	68.2
`land_use_forest_text`	land_use_forest_text	string	0%	1	9.1% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	21.9% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	21.9
+12 more extension fields — download the CSV/Parquet to see them all.

MNG OpenFactBook - Government — 1 rows, 109 columns

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Field details — 109 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	MNG
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (107) — 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	none
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Mongolia
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	none
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Mongol Uls
`country_name_former_text`	country_name_former_text	string	0%	1	Outer Mongolia, Mongolian People's Republic
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name comes from the Mongol people, whose name derives...
`government_type_text`	government_type_text	string	0%	1	semi-presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Ulaanbaatar
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	47 55 N, 106 55 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	47.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+8 (13 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	8.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	+1hr, begins last Saturday in March; ends last Saturday...
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	0%	1	1.0
`capital_time_zone_note_text`	capital_time_zone_note_text	string	0%	1	Mongolia has two time zones - Ulaanbaatar Time (8 hours...
`capital_time_zone_note_numeric`	capital_time_zone_note_numeric	float	0%	1	8.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name means "red hero" in Mongolian and honors...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1920.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	21 provinces (aymguud, singular - aymag) and 1...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	21.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system influenced by Soviet and...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 13 January 1992,...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	13.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the State Great Hural, by the president of...
`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	both parents must be citizens of Mongolia; one parent if...
`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	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
+77 more extension fields — download the CSV/Parquet to see them all.

MNG 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	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`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 peoples of Mongolia have a long history under a...
`background_numeric`	background_numeric	float	0%	1	4.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mg.json

MNG OpenFactBook - Languages — 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	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`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
`languages_languages_text`	Languages (text)	string	0%	1	Mongolian 90% (official, Khalkha dialect is...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	90.0
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	Дэлхийн баримтат ном, үндсэн мэдээллийн зайлшгүй эх...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mg.json

MNG OpenFactBook - Migration — 1 rows, 11 columns

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Field details — 11 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	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	26 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	26.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	22 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	22.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	17 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	17.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mg.json

MNG OpenFactBook - Military And Security — 1 rows, 27 columns

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Field details — 27 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	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (24) — 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	Mongolian Armed Forces (MAF): Land Force, Air Force,...
`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	0.7% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.7
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.6% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.6% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	0.8% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	0.8% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.8
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	information varies; estimated 10-20,000 active Mongolian...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	10.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the MAF's inventory is comprised largely of Soviet-era...
`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	18-25 years of age for voluntary service for men and...
`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	850 South Sudan (UNMISS) (2025)
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	850.0
`military_note_text`	military_note_text	string	0%	1	the Mongolian Armed Forces (MAF) are responsible for...
`military_note_numeric`	military_note_numeric	float	0%	1	2005.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mg.json

MNG OpenFactBook - People And Society — 1 rows, 152 columns

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Field details — 152 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	3281676.0
`population_male_numeric`	Population male	float	SEL	0%	1	1595596.0
`population_female_numeric`	Population female	float	SEL	0%	1	1686080.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	25.7
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	68.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	5.9
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	59.1
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	50.2
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	8.9
`median_age_total_numeric`	Median age	float	SEL	0%	1	28.8
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.08
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	18.01
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.35
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-1.83
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	69.1
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.4
`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	0.95
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	41.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	8.6
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	71.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.6
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.27
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	4.13
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	10.6
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	98.6
`country_code`	Country code	string	SEL	0%	1	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (123) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	3,281,676 (2024 est.)
`population_male_text`	population_male_text	string	0%	1	1,595,596
`population_female_text`	population_female_text	string	0%	1	1,686,080
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	25.7% (male 429,867/female 412,943)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	68.4% (male 1,087,487/female 1,156,547)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	5.9% (2024 est.) (male 78,242/female 116,590)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	59.1 (2024 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	50.2 (2024 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	8.9 (2024 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	11.2 (2024 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	11.2
`median_age_total_text`	median_age_total_text	string	0%	1	28.8 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	30.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	30.1
`median_age_female_text`	median_age_female_text	string	0%	1	32.8 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	32.8
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.08% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	18.01 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.35 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-1.83 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	population sparsely distributed throughout the country;...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	69.1% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.4% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	1.673 million ULAANBAATAR (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	1.673
`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	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.94 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.94
+93 more extension fields — download the CSV/Parquet to see them all.

MNG OpenFactBook - Religions — 1 rows, 23 columns

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Field details — 23 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	51.8
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	3.2
`composition_religion_christian_pct_synth`	Christian	numeric	CCL	0%	-	1.3
`composition_religion_other_pct_synth`	Other	numeric	CCL	0%	-	0.6
`composition_ethnicity_primary_label_synth`	Khalkh	string	CCL	0%	-	Khalkh

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	Buddhist 51.8%, no religion 40.6%, Muslim 3.2%, Shaman...
`religions_numeric`	religions_numeric	float	0%	1	51.8
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mg.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_no_religion_pct_synth`	no religion	numeric	0%	-	40.6
`composition_religion_shaman_pct_synth`	Shaman	numeric	0%	-	2.5
`composition_ethnicity_khalkh_pct_synth`	Khalkh	numeric	0%	-	83.8
`composition_ethnicity_kazak_pct_synth`	Kazak	numeric	0%	-	3.8
`composition_ethnicity_durvud_pct_synth`	Durvud	numeric	0%	-	2.6
`composition_ethnicity_bayad_pct_synth`	Bayad	numeric	0%	-	2.0
`composition_ethnicity_buriad_pct_synth`	Buriad	numeric	0%	-	1.4
`composition_ethnicity_zakhchin_pct_synth`	Zakhchin	numeric	0%	-	1.2
`composition_ethnicity_dariganga_pct_synth`	Dariganga	numeric	0%	-	1.1
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	4.1
`composition_ethnicity_primary_share_pct_synth`	Khalkh	numeric	0%	-	83.8

MNG OpenFactBook - Transportation — 1 rows, 17 columns

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Field details — 17 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	JU
`airports_numeric`	Airports count	float	SEL	0%	1	37.0
`country_code`	Country code	string	SEL	0%	1	MNG
`country_name`	Country name	string	SEL	0%	1	Mongolia
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (12) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	37 (2025)
`railways_total_text`	railways_total_text	string	0%	1	1,815 km (2017)
`railways_total_numeric`	railways_total_numeric	float	0%	1	1815.0
`railways_broad_gauge_text`	railways_broad_gauge_text	string	0%	1	1,815 km (2017) 1.520-m gauge
`railways_broad_gauge_numeric`	railways_broad_gauge_numeric	float	0%	1	1815.0
`railways_note`	railways_note	string	0%	1	note: national operator Ulaanbaatar Railway is jointly...
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	318 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	318.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 8, container ship 8, general cargo 151, oil...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	8.0
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/mg.json

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

7 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 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)

MNG 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	MNG, MNG, MNG, MNG, MNG
`gns_language_code`	gns_language_code	string	CCL	0%	6	mon, rus, zho, eng, uig
`gns_language_name`	gns_language_name	string	CCL	0%	6	Mongolian, Russian, Chinese, English, Uighur
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	6	1898, 306, 265, 66, 6
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	6	74.6656, 12.0378, 10.4249, 2.5964, 0.236
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	5	748, 130, 26, 0, 3
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	4	Cyrl, Cyrl, Hans, , Arab
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	4	Cyrillic, Cyrillic, Han (Simplified variant), , Arabic
`gns_script_count`	gns_script_count	integer	CCL	0%	3	1, 1, 2, 0, 1

MNG Nga Gns - Summary — 1 rows, 29 columns

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Field details — 29 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	MNG
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Mongolia
`gns_language_count`	gns_language_count	integer	CCL	0%	1	6
`gns_script_count`	gns_script_count	integer	CCL	0%	1	3
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9847
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	911

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	19650
`gns_feature_count`	gns_feature_count	integer	0%	1	6849
`gns_endonym_count`	gns_endonym_count	integer	0%	1	19647
`gns_exonym_count`	gns_exonym_count	integer	0%	1	3
`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_hydrographic`	gns_name_count_hydrographic	integer	0%	1	6400
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	2457
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	6211
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	1517
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	4180
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	1884
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	377
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	176
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	889
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	452
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	1571
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	350
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	18
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	11
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	4
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	2

MNG Google Community Mobility (2020-2022) MNG-GOOGLE-MOBILITY Mobility

3 rows · 1 table(s) Google 0 1 2 3 3 SEL 8 ext ▶

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

1 Admin 1 — 1 table(s)

MNG Mobility by Region — 3 rows, 11 columns

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Field details — 11 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	MN, MN, MN
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1
`iso3`	Country code	string	SEL	0%	1	MNG, MNG, MNG

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	2	0.0, 0.0, 40.49
`grocery`	grocery	float	0%	2	0.0, 0.0, 99.6
`parks`	parks	float	0%	2	0.0, 0.0, 44.37
`transit`	transit	float	0%	2	0.0, 0.0, 54.82
`workplaces`	workplaces	float	0%	3	-61.19, -49.71, 27.06
`residential`	residential	float	0%	2	0.0, 0.0, 3.48
`region`	region	string	0%	3	Darkhan-Uul, Orkhon, Ulaanbaatar
`observation_count`	observation_count	integer	0%	3	26, 49, 974

MNG Ethnic Power Relations Dataset MNG-EPR Political Ethnicity

2 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)

MNG EPR - Groups — 2 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	MNG, MNG
`ethnic_group_name`	Ethnic group name	string	CCL	0%	2	Mongols, Kazakh
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	2	0.85, 0.04
`ethnic_group_id`	Ethnic group id	float	CCL	0%	2	71203000, 71202000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	, true

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

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

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

2 rows · 1 table(s) 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)

MNG GHS-UCDB - Cities (locality) — 2 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%	2	Ulaanbaatar, Erdenet
`country_code`	Country code	string	SEL	0%	1	MNG, MNG
`population`	Population count	integer	SEL	0%	2	1634097, 97743

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	2	337, 168
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Mongolia, Mongolia
`population_year`	population_year	integer	0%	1	2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

MNG D-PLACE MNG-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)

MNG 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	MNG
`society_id`	Society id	string	CCL	0%	1	Eb3
`society_name`	Society name	string	CCL	0%	1	Khalka
`language_glottocode`	Language glottocode	string	CCL	0%	1	halh1238
`language_name`	Language name	string	CCL	0%	1
`kinship_system`	Kinship system	string	CCL	0%	1	EA001:0; EA002:1; EA003:0; EA004:8; EA005:1
`marriage_pattern`	Marriage pattern	string	CCL	0%	1	EA006:1; EA007:7; EA008:6; EA009:1; EA010:8
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	1	EA028:2; EA029:NA; EA030:2; EA031:1; EA032:3
`political_complexity`	Political complexity	string	CCL	0%	1	EA033:4; EA034:NA; EA035:NA
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:NA; EA112:8
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA011:1; EA012:8; EA013:2

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	Mongolia
`dataset`	dataset	string	0%	1	EA
`region`	region	string	0%	1
`latitude`	latitude	float	0%	1	46.0
`longitude`	longitude	float	0%	1	97.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate

MNG Global Organized Crime Index MNG-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)

MNG 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.

MNG World Values Survey MNG-WVS Attitudes Values

1 rows · 1 table(s) World Values Survey 0 1 2 3 1 SEL 25 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)

MNG WVS - Country Aggregates — 1 rows, 26 columns

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Field details — 26 fields (type, nulls, unique, samples)

Standards-Aligned Fields (1)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	MNG

Extension Fields (25) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`wave`	wave	integer	0%	1	7
`wave_years`	wave_years	string	0%	1	2017-2022
`source`	source	string	0%	1	World Values Survey
`importance_religion`	importance_religion	integer	0%	1	1
`importance_family`	importance_family	integer	0%	1	1
`importance_friends`	importance_friends	integer	0%	1	1
`trust_people`	trust_people	integer	0%	1	1
`trust_family`	trust_family	integer	0%	1	1
`life_satisfaction`	life_satisfaction	integer	0%	1	1
`happiness`	happiness	integer	0%	1	1
`freedom_choice`	freedom_choice	integer	0%	1	1
`gender_jobs_scarce`	gender_jobs_scarce	integer	0%	1	1
`gender_political_leaders`	gender_political_leaders	integer	0%	1	1
`gender_university`	gender_university	integer	0%	1	1
`justifiable_divorce`	justifiable_divorce	integer	0%	1	1
`justifiable_homosexuality`	justifiable_homosexuality	integer	0%	1	1
`immigration_policy`	immigration_policy	integer	0%	1	1
`immigrants_jobs`	immigrants_jobs	integer	0%	1	1
`immigrants_culture`	immigrants_culture	integer	0%	1	1
`confidence_government`	confidence_government	integer	0%	1	1
`confidence_parliament`	confidence_parliament	integer	0%	1	1
`confidence_police`	confidence_police	integer	0%	1	1
`confidence_courts`	confidence_courts	integer	0%	1	1
`confidence_press`	confidence_press	integer	0%	1	1
`democracy_importance`	democracy_importance	integer	0%	1	1

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share	Script
Mongolian (mon)	1,898	74.7%	Cyrillic
Russian (rus)	306	12.0%	Cyrillic
Chinese (zho)	265	10.4%	Han (Simplified variant)
English (eng)	66	2.6%	—
Uighur (uig)	6	0.2%	Arabic

Source	Type	Access
National Statistics Office of Mongolia (NSO)	official_api	bulk_download
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
World Values Survey	academic	metadata_catalog
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Ethnic Power Relations Dataset	academic	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Google	commercial	bulk_download
Glottolog Language Catalog	academic	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