North Korea

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

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

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1 Admin 1 — 1 table(s)

PRK Cod Ps - Prk Codps (admin_1) — 11 rows, 15 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
`pcode`	Admin code	string	SEL	0%	11	KP01, KP02, KP03, KP04, KP05
`region_name`	Region name	string	SEL	0%	1	Democratic People's Republic of Korea, Democratic...
`T_TL`	Total population	integer	SEL	0%	11	719269, 2327362, 3066013, 1477582, 1299830
`M_TL`	Male population	integer	SEL	0%	11	338705, 1100172, 1444493, 695067, 616828
`F_TL`	Female population	integer	SEL	0%	11	380564, 1227190, 1621520, 782515, 683002

Pending (10) — 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	string	100%	-	-
`ADM1_EN`	ADM1_EN	string	0%	11	Ryanggang, North Hamgyong, South Hamgyong, Kangwon, Jagang
`ADMO0_PCODE`	ADMO0_PCODE	string	0%	1	KP, KP, KP, KP, KP
`U_TL`	U_TL	integer	0%	11	464690, 1645886, 1811074, 725611, 828253
`UM_TL`	UM_TL	integer	0%	11	218834, 778985, 856008, 341462, 392660
`UF_TL`	UF_TL	integer	0%	11	245856, 866901, 955066, 384149, 435593
`R_TL`	R_TL	integer	0%	11	254579, 681476, 1254939, 751971, 471577
`RM_TL`	RM_TL	integer	0%	11	119871, 321187, 588485, 353605, 224168
`RF_TL`	RF_TL	integer	0%	11	134708, 360289, 666454, 398366, 247409

2 Admin 2 — 1 table(s)

PRK Cod Ps - Prk Codps (admin_2) — 179 rows, 15 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
`pcode`	Admin code	string	SEL	0%	100	KP0101, KP0102, KP0103, KP0104, KP0105
`region_name`	Region name	string	SEL	0%	1	Democratic People's Republic of Korea, Democratic...
`T_TL`	Total population	integer	SEL	0%	100	192680, 40311, 42618, 57729, 37528
`M_TL`	Male population	integer	SEL	0%	100	91420, 18925, 20020, 27336, 17484
`F_TL`	Female population	integer	SEL	0%	100	101260, 21386, 22598, 30393, 20044

Pending (10) — 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	string	100%	-	-
`ADM2_EN`	ADM2_EN	string	0%	100	Hyesan City, Samsu, Kim Jong Suk, Kim Hyong Jik, Kim Hyong Gwon
`ADMO0_PCODE`	ADMO0_PCODE	string	0%	1	KP, KP, KP, KP, KP
`U_TL`	U_TL	integer	0%	100	174015, 15577, 19840, 41610, 12635
`UM_TL`	UM_TL	integer	0%	100	82604, 7309, 9256, 19618, 5924
`UF_TL`	UF_TL	integer	0%	100	91411, 8268, 10584, 21992, 6711
`R_TL`	R_TL	integer	0%	100	18665, 24734, 22778, 16119, 24893
`RM_TL`	RM_TL	integer	0%	100	8816, 11616, 10764, 7718, 11560
`RF_TL`	RF_TL	integer	0%	100	9849, 13118, 12014, 8401, 13333

PRK UNHCR Refugee Data Finder PRK-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)

PRK 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%	-	-

PRK 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%	-	-

PRK World Bank Open Data PRK-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)

PRK 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	KP, KP, KP, KP, KP
`population_count`	Population count	float	SEL	2%	65	11722953.0, 11990713.0, 12262882.0, 12567057.0, 12889770.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	55.814, 56.408, 56.998, 57.578, 58.17
`gdp_per_capita_usd`	Gdp per capita usd	string	SEL	100%	-	-
`literacy_rate_pct`	Literacy rate percent	float	SEL	99%	1	100.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	60	115.8, 111.6, 107.6, 103.6, 99.2
`poverty_headcount_pct`	Poverty headcount percent	string	SEL	100%	-	-

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	Korea, Dem. People's Rep., Korea, Dem. People's Rep.,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

PRK 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	KP, KP, KP, KP, KP
`life_expectancy`	Life expectancy	float	SEL	3%	64	55.814, 56.408, 56.998, 57.578, 58.17
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	47%	32	20.9, 21.3, 21.6, 21.9, 21.9
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	60	115.8, 111.6, 107.6, 103.6, 99.2
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	27	76.0, 68.0, 62.0, 55.0, 49.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	3.568, 3.261, 3.412, 3.626, 3.547
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	34.842, 32.309, 33.987, 36.134, 35.394
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	11.152, 10.81, 10.621, 10.527, 10.287
`physicians_per_1000`	Physicians per 1000	float	SEL	86%	9	2.549, 2.511, 2.97, 3.097, 3.228
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	96%	3	14.3, 13.2, 12.8
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	26	50.0, 52.0, 51.0, 52.0, 67.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	string	SEL	100%	-	-

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	Korea, Dem. People's Rep., Korea, Dem. People's Rep.,...
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

PRK LandScan Global (ORNL) PRK-LANDSCAN Modeled Population

104 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)

PRK 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	PRK
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Democratic Peoples Republic of Korea (the)
`admin_code`	Admin code	string	SEL	0%	1	24118357B21972569762374
`area_sqkm`	Area sqkm	float	SEL	0%	1	122568.1568
`pop_2024`	Population count	integer	SEL	0%	1	26012237
`pop_density_2024`	Population density	float	SEL	0%	1	212.23

1 Admin 1 — 1 table(s)

PRK LandScan - Population Admin1 (admin_1) — 11 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	PRK, PRK, PRK, PRK, PRK
`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%	11	Pyongyang, South Pyongan, South Hamgyong, North Pyongan,...
`admin_code`	Admin code	string	SEL	0%	11	3916807B24987303688366, 3916807B57216784573597,...
`area_sqkm`	Area sqkm	float	SEL	0%	11	1758.1891, 11305.7702, 18682.2001, 12441.013, 10379.9228
`pop_2024`	Population count	integer	SEL	0%	11	4528582, 3282359, 3219615, 2997654, 2613841
`pop_density_2024`	Population density	float	SEL	0%	11	2575.71, 290.33, 172.34, 240.95, 251.82

Locality Locality — 1 table(s)

PRK LandScan - Cities (locality) — 92 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	PRK, PRK, PRK, PRK, PRK
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	92	P'yŏngyang, Wonsan, Chŏngjin, Hamhung, Pyŏngsŏng
`admin_code`	Admin code	integer	SEL	0%	92	3739, 5523, 4659, 4733, 3536
`area_sqkm`	Area sqkm	float	SEL	0%	89	227.6785, 33.9511, 70.9414, 32.9608, 40.9481
`pop_2024`	Population count	integer	SEL	0%	92	3461926, 517332, 496489, 480255, 308375
`pop_density_2024`	Population density	float	SEL	0%	92	15205.33, 15237.56, 6998.58, 14570.49, 7530.87

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%	92	2868313, 370729, 683870, 393816, 330617
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	84	1.207, 1.395, 0.726, 1.219, 0.933

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

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

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Locality Locality — 1 table(s)

PRK GHS-UCDB - Cities (locality) — 92 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%	92	P'yŏngyang, Chŏngjin, Sariwon, Hamhung, Wonsan
`country_code`	Country code	string	SEL	0%	1	PRK, PRK, PRK, PRK, PRK
`population`	Population count	integer	SEL	0%	92	2868313, 683870, 401117, 393816, 370729

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	92	3739, 4659, 4436, 4733, 5523
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	North Korea, North Korea, North Korea, North Korea, North Korea
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

PRK OpenFactBook PRK-OPENFACTBOOK Country Profile

15 rows · 15 table(s) OpenFactBook 0 1 2 3 89 SEL 433 ext ▶

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0 Admin 0 — 15 table(s)

PRK OpenFactBook - Communications — 1 rows, 16 columns

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

Standards-Aligned Fields (6)

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	4.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	24.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.kp
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — 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	1.18 million (2021 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	1.18
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	4 (2022 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	6.35 million (2022 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	6.35
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	24 (2022 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	no independent media; radios and TVs are pre-tuned to...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	4.0
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

PRK OpenFactBook - Economy — 1 rows, 57 columns

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Field details — 57 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	16.447
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (53) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	one of the last centrally planned economies; hard hit by...
`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	$15.416 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	15.416
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$14.959 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	14.959
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text`	Real gdp purchasing power parity 2021 (text)	string	0%	1	$14.982 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	14.982
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2015 dollars
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$600 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	600.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$600 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	600.0
`real_gdp_per_capita_real_gdp_per_capita_2021_text`	Real gdp per capita 2021 (text)	string	0%	1	$600 (2021 est.)
`real_gdp_per_capita_real_gdp_per_capita_2021_numeric`	Real gdp per capita 2021 (numeric)	float	0%	1	600.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2015 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$16.447 billion (2023 est.)
`agricultural_products_text`	agricultural_products_text	string	0%	1	maize, vegetables, rice, apples, cabbages, fruits, sweet...
`agricultural_products_numeric`	agricultural_products_numeric	float	0%	1	2023.0
`industries_text`	industries_text	string	0%	1	military products; machine building, electric power,...
`labor_force_text`	labor_force_text	string	0%	1	17.637 million (2024 est.)
`labor_force_numeric`	labor_force_numeric	float	0%	1	17.637
`unemployment_rate_unemployment_rate_2024_text`	Unemployment rate 2024 (text)	string	0%	1	2.9% (2024 est.)
`unemployment_rate_unemployment_rate_2024_numeric`	Unemployment rate 2024 (numeric)	float	0%	1	2.9
`unemployment_rate_unemployment_rate_2023_text`	Unemployment rate 2023 (text)	string	0%	1	2.9% (2023 est.)
`unemployment_rate_unemployment_rate_2023_numeric`	Unemployment rate 2023 (numeric)	float	0%	1	2.9
`unemployment_rate_unemployment_rate_2022_text`	Unemployment rate 2022 (text)	string	0%	1	2.9% (2022 est.)
`unemployment_rate_unemployment_rate_2022_numeric`	Unemployment rate 2022 (numeric)	float	0%	1	2.9
`unemployment_rate_note`	unemployment_rate_note	string	0%	1	note: % of labor force seeking employment
`youth_unemployment_rate_ages_15_24_total_text`	youth_unemployment_rate_ages_15_24_total_text	string	0%	1	6.8% (2024 est.)
+23 more extension fields — download the CSV/Parquet to see them all.

PRK OpenFactBook - Energy — 1 rows, 29 columns

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Field details — 29 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	54.7
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (25) — 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	54.7% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	8.357 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	8.357
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	22.448 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	22.448
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	4.101 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	4.101
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	36.9% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	36.9
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.6% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.6
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	62.5% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	62.5
`coal_production_text`	coal_production_text	string	0%	1	21.928 million metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	21.928
`coal_consumption_text`	coal_consumption_text	string	0%	1	22.105 million metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	22.105
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	10.6 billion metric tons (2023 est.)
`coal_proven_reserves_numeric`	coal_proven_reserves_numeric	float	0%	1	10.6
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	18,000 bbl/day (2023 est.)
`petroleum_refined_petroleum_consumption_numeric`	petroleum_refined_petroleum_consumption_numeric	float	0%	1	18000.0
`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	23.83 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	23.83
`source_section`	source_section	string	0%	1	Energy
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

PRK OpenFactBook - Environment — 1 rows, 45 columns

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Field details — 45 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	21.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	64.0
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	63.2
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.85
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (38) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	water pollution; inadequate potable water;...
`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	Antarctic-Environmental Protection, Law of the Sea
`climate_text`	climate_text	string	0%	1	temperate, with rainfall concentrated in summer; long,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	21.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 19.1% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	19.1
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 0.4% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	0.4
`land_use_forest_text`	land_use_forest_text	string	0%	1	64% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	14.5% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	14.5
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	63.2% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.85% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	55.744 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	55.744
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	52.985 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	52.985
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	2.759 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	2.759
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	41.8 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	41.8
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	902.8 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	902.8
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	1.145 billion cubic meters (2022 est.)
`total_water_withdrawal_industrial_numeric`	total_water_withdrawal_industrial_numeric	float	0%	1	1.145
`total_water_withdrawal_agricultural_text`	total_water_withdrawal_agricultural_text	string	0%	1	6.61 billion cubic meters (2022 est.)
`total_water_withdrawal_agricultural_numeric`	total_water_withdrawal_agricultural_numeric	float	0%	1	6.61
+8 more extension fields — download the CSV/Parquet to see them all.

PRK OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Korean(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Korean
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	racially homogeneous; there is a small Chinese community...
`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/kn.json

PRK OpenFactBook - Geography — 1 rows, 54 columns

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Field details — 54 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	120538.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	120408.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	130.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	1607.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	2495.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2744.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	21.6
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	64.0
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	14600.0
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (41) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Eastern Asia, northern half of the Korean Peninsula...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	40 00 N, 127 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	40.0
`map_references_text`	map_references_text	string	0%	1	Asia
`area_total_text`	area_total_text	string	0%	1	120,538 sq km
`area_land_text`	area_land_text	string	0%	1	120,408 sq km
`area_water_text`	area_water_text	string	0%	1	130 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly larger than Virginia; slightly smaller than Mississippi
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	1,607 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	China 1,352 km; South Korea 237 km; Russia 18 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1352.0
`coastline_text`	coastline_text	string	0%	1	2,495 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_note`	maritime_claims_note	string	0%	1	note: military boundary line 50 nm in the Sea of Japan...
`climate_text`	climate_text	string	0%	1	temperate, with rainfall concentrated in summer; long,...
`terrain_text`	terrain_text	string	0%	1	mostly hills and mountains separated by deep, narrow...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Paektu-san 2,744 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Sea of Japan 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	600 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	600.0
`natural_resources_text`	natural_resources_text	string	0%	1	coal, iron ore, limestone, magnesite, graphite, copper,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	21.6% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 19.1% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	19.1
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	2.1
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 0.4% (2023 est.)
+11 more extension fields — download the CSV/Parquet to see them all.

PRK OpenFactBook - Government — 1 rows, 86 columns

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Field details — 86 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	PRK
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (84) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Democratic People's Republic of Korea
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	North Korea
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Choson-minjujuui-inmin-konghwaguk
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Choson
`country_name_abbreviation_text`	country_name_abbreviation_text	string	0%	1	DPRK
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	derived from the Chinese name for Goryeo, which was the...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	10.0
`government_type_text`	government_type_text	string	0%	1	dictatorship, single-party communist state
`capital_name_text`	capital_name_text	string	0%	1	Pyongyang
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	39 01 N, 125 45 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	39.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+9 (14 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	9.0
`capital_time_zone_note_text`	capital_time_zone_note_text	string	0%	1	on 5 May 2018, North Korea reverted to UTC+9, the same...
`capital_time_zone_note_numeric`	capital_time_zone_note_numeric	float	0%	1	5.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name translates as "flat land" in Korean
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	9 provinces (do, singular and plural) and 4 special...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	9.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on the Prussian model; influenced...
`constitution_history_text`	constitution_history_text	string	0%	1	previous 1948, 1972; latest adopted 1998
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	1948.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the Supreme People’s Assembly (SPA); passage...
`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	at least one parent must be a citizen of North Korea
`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	unknown
`suffrage_text`	suffrage_text	string	0%	1	17 years of age; universal and compulsory
`suffrage_numeric`	suffrage_numeric	float	0%	1	17.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	State Affairs Commission President KIM Jong Un (since 17...
+54 more extension fields — download the CSV/Parquet to see them all.

PRK 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	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`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 first recorded kingdom (Choson) on the Korean...
`background_numeric`	background_numeric	float	0%	1	2300.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

PRK OpenFactBook - Languages — 1 rows, 7 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`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_languages_text`	Languages (text)	string	0%	1	Korean
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	월드 팩트북, 필수적인 기본 정보 제공처 (Korean)The World Factbook, the...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

PRK OpenFactBook - Migration — 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	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`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
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 3 — the government of North Korea does not fully...
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1	3.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

PRK OpenFactBook - Military And Security — 1 rows, 19 columns

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Field details — 19 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	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (16) — 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	Korean People's Army (KPA): KPA Ground Forces, KPA Navy,...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_text`	military_expenditures_text	string	0%	1	defense spending is a regime priority; between 2010 and...
`military_expenditures_numeric`	military_expenditures_numeric	float	0%	1	2010.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	estimates vary; as many as 1.3 million active-duty...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	1.3
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the KPA is equipped with older weapon systems acquired...
`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	compulsory military service for men (17-30 years of age)...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	17.0
`military_deployments_text`	military_deployments_text	string	0%	1	estimated 10-12,000 Russia (2025)
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	10.0
`military_note_text`	military_note_text	string	0%	1	the Korean People's Army (KPA) is one of the World’s...
`military_note_numeric`	military_note_numeric	float	0%	1	1948.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

PRK OpenFactBook - People And Society — 1 rows, 136 columns

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Field details — 136 fields (type, nulls, unique, samples)

Standards-Aligned Fields (27)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	26402841.0
`population_male_numeric`	Population male	float	SEL	0%	1	12884269.0
`population_female_numeric`	Population female	float	SEL	0%	1	13518572.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	19.9
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	68.9
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	11.2
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	45.6
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	28.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	16.8
`median_age_total_numeric`	Median age	float	SEL	0%	1	36.2
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.4
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	12.99
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	9.01
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-0.04
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	63.2
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.85
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.06
`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	67.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	14.7
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	73.5
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.8
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.87
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	3.63
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (109) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	26,402,841 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	12,884,269
`population_female_text`	population_female_text	string	0%	1	13,518,572
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	19.9% (male 2,673,822/female 2,548,775)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	68.9% (male 9,054,771/female 9,066,447)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	11.2% (2024 est.) (male 1,099,676/female 1,855,175)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	45.6 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	28.8 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	16.8 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	6 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	6.0
`median_age_total_text`	median_age_total_text	string	0%	1	36.2 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	34.5 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	34.5
`median_age_female_text`	median_age_female_text	string	0%	1	37.4 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	37.4
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.4% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	12.99 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	9.01 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-0.04 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	population concentrated in the plains and lowlands;...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	63.2% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.85% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	3.158 million PYONGYANG (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	3.158
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.06 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 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.0
+79 more extension fields — download the CSV/Parquet to see them all.

PRK OpenFactBook - Religions — 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	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	traditionally Buddhist and Confucian, some Christian and...
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

Pending (3) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_traditionally_buddhist_and_confucian_pct_synth`	traditionally Buddhist and Confucian	numeric	0%	-	-
`composition_religion_some_christian_and_syncretic_chondogyo_pct_synth`	some Christian and syncretic Chondogyo	numeric	0%	-	-
`composition_ethnicity_racially_homogeneous_there_is_a_small_chinese_community_and_a_few_ethnic_japanese_pct_synth`	racially homogeneous; there is a small Chinese community and a few ethnic Japanese	numeric	0%	-	-

PRK OpenFactBook - Space — 1 rows, 13 columns

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Field details — 13 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	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	National Aerospace Technology Administration (NATA;...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2013.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	Sohae Satellite Launching Station (aka Tongch'ang-dong...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	2025.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	North Korea’s leader has emphasized the development of...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2013.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1980s - initiated space program 1998 - failed first...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1980.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

PRK OpenFactBook - Transportation — 1 rows, 32 columns

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Field details — 32 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	P
`airports_numeric`	Airports count	float	SEL	0%	1	81.0
`country_code`	Country code	string	SEL	0%	1	PRK
`country_name`	Country name	string	SEL	0%	1	North Korea
`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
`airports_text`	airports_text	string	0%	1	81 (2025)
`heliports_text`	heliports_text	string	0%	1	8 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	8.0
`railways_total_text`	railways_total_text	string	0%	1	7,435 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	7435.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	7,435 km (2014) 1.435-m gauge (5,400 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	7435.0
`railways_note`	railways_note	string	0%	1	note: figures are approximate; some narrow-gauge railway...
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	264 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	264.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 10, container ship 5, general cargo 191,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	10.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	10 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	10.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	0
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	0.0
`ports_small_text`	ports_small_text	float	0%	1	7
`ports_small_numeric`	ports_small_numeric	float	0%	1	7.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	3
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	3.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	0
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	0.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Ch'ongjin, Haeju Hang, Hungnam, Najin, Nampo, Senbong, Wonsan
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/kn.json

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

6 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)

PRK Nga Gns - Language — 5 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	PRK, PRK, PRK, PRK, PRK
`gns_language_code`	gns_language_code	string	CCL	0%	5	kor, zho, jpn, eng, rus
`gns_language_name`	gns_language_name	string	CCL	0%	5	Korean, Chinese, Japanese, English, Russian
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	5	200344, 6780, 2131, 66, 19
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	5	95.7027, 3.2388, 1.018, 0.0315, 0.0091
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	4	66808, 6733, 2, 0, 2
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	4	Hang, Hani, Hang, , Cyrl
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	4	Hangul (Hangŭl, Hangeul), Han (Hanzi, Kanji, Hanja),...
`gns_script_count`	gns_script_count	integer	CCL	0%	3	3, 3, 1, 0, 1

PRK Nga Gns - Summary — 1 rows, 29 columns

Loading data…

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	PRK
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Korea, North
`gns_language_count`	gns_language_count	integer	CCL	0%	1	5
`gns_script_count`	gns_script_count	integer	CCL	0%	1	4
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9937
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	76572

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	221240
`gns_feature_count`	gns_feature_count	integer	0%	1	53436
`gns_endonym_count`	gns_endonym_count	integer	0%	1	221226
`gns_exonym_count`	gns_exonym_count	integer	0%	1	14
`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_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	20375
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	3766
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	40479
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	10064
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	16387
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	3447
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	131324
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	32860
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	7025
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	1612
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	5294
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1596
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	341
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	87
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	15
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	4

PRK Glottolog Language Catalog PRK-GLOTTOLOG Language

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

PRK Glottolog - Languages — 3 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%	3	kore1280, mand1415, russ1263
`name`	Name	string	CCL	0%	3	Korean, Mandarin Chinese, Russian
`iso639_3`	Iso639 3	string	CCL	0%	3	kor, cmn, rus
`level`	Level	string	CCL	0%	1	language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	3	kore1284, sino1245, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	3	kore1284, mand1471, east1426
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	3	['CN', 'KP', 'KR', 'RU'], ['CN', 'KP', 'LA', 'MM', 'MN',...
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	3	13, 31, 14

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	3	37.54, 40.0209, 59.0
`longitude`	longitude	float	0%	3	126.98, 116.228, 50.0
`classification`	classification	string	0%	1	[], [], []

PRK Global Organized Crime Index PRK-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)

PRK Organized Crime Scores 2025 — 1 rows, 35 columns

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

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

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

HERA · Human Entity Reference Atlas by Masego Inc

North Korea

Build a download

Language	Place names	Share	Script
Korean (kor)	200,344	95.7%	Hangul (Hangŭl, Hangeul)
Chinese (zho)	6,780	3.2%	Han (Hanzi, Kanji, Hanja)
Japanese (jpn)	2,131	1.0%	Hangul (Hangŭl, Hangeul)

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download