South Korea

KOR South Korea - High Resolution Population Density Maps: total population (2015 and 2020 estimates) KOR-HDX-South_Korea__High_Resolution_Popula Indicators

8,869,747 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

KOR South Korea High Resolution Population Density Ma — 8,869,747 rows, 3 columns

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Field details — 4 fields (type, nulls, unique, samples)

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	Latitude of grid cell centroid (WGS84)	float	0%	60	37.4165278, 37.4184722, 37.41625, 37.4151389, 37.41875
`longitude`	Longitude of grid cell centroid (WGS84)	float	0%	56	127.1276389, 127.1215278, 127.1251389, 127.1226389, 127.1259722
`population_2015`	Total population per ~30 m cell, 2015 estimate (HRSL)	float	0%	-	-
`population_2020`	Total population per ~30 m cell, 2020 estimate (HRSL)	float	0%	-	-

KOR Republic of Korea - Health Indicators KOR-HDX-Republic_of_Korea_-_Health_Indicato Indicators

19,977 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

KOR Republic Of Korea - Health Indicators — 19,977 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Extension Fields (17) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`GHO (CODE)`	GHO (CODE)	string	0%	72	HWF_0010, CHILDMORT5TO14, MORT_300, SDGSUICIDE, AIR_11
`GHO (DISPLAY)`	GHO (DISPLAY)	string	0%	72	Dentists (per 10,000), Mortality rate for 5-14 year-olds...
`GHO (URL)`	GHO (URL)	string	0%	72	https://www.who.int/data/gho/data/indicators/indicator-de...
`YEAR (DISPLAY)`	YEAR (DISPLAY)	string	0%	37	2017, 2015, 2005, 2021, 2018
`STARTYEAR`	STARTYEAR	string	0%	37	2017, 2015, 2005, 2021, 2018
`ENDYEAR`	ENDYEAR	string	0%	37	2017, 2015, 2005, 2021, 2018
`REGION (CODE)`	REGION (CODE)	string	0%	1	WPR, WPR, WPR, WPR, WPR
`REGION (DISPLAY)`	REGION (DISPLAY)	string	0%	1	Western Pacific, Western Pacific, Western Pacific,...
`COUNTRY (CODE)`	COUNTRY (CODE)	string	0%	1	KOR, KOR, KOR, KOR, KOR
`COUNTRY (DISPLAY)`	COUNTRY (DISPLAY)	string	0%	1	Republic of Korea, Republic of Korea, Republic of Korea,...
`DIMENSION (TYPE)`	DIMENSION (TYPE)	string	8%	11	SEX, AGEGROUP, SEX, SEX, SEX
`DIMENSION (CODE)`	DIMENSION (CODE)	string	8%	28	SEX_MLE, AGEGROUP_DAYS0-27, SEX_FMLE, SEX_BTSX, SEX_MLE
`DIMENSION (NAME)`	DIMENSION (NAME)	string	8%	27	Male, 0-27 days, Female, Both sexes, Male
`Numeric`	Numeric	float	16%	75	4.91, 1.036224577, 0.06667, 17.194690704, 0.0
`Value`	Value	string	0%	87	4.91, 1.0 [1.0-1.1], 0.1, 17.2, 0 [0-0]
`Low`	Low	float	36%	54	0.997968692, 0.0, 0.0, 57.087, 0.0
`High`	High	float	36%	59	1.077560335, 0.0, 0.0, 167.525, 13.8

KOR Democratic People's Republic of Korea - Health Ind KOR-HDX-Democratic_People's_Republic_of_Kor Indicators

18,733 rows · 1 table · 2024 HDX 0 1 2 3 ▶

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0 Admin 0 — 1 table(s)

KOR Democratic People's Republic Of Korea - Health Ind — 18,733 rows, 17 columns

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Field details — 17 fields (type, nulls, unique, samples)

Extension Fields (17) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`GHO (CODE)`	GHO (CODE)	string	0%	63	UHC_SCI_NCD, CHILDMORT5TO14, SDGSUICIDE,...
`GHO (DISPLAY)`	GHO (DISPLAY)	string	0%	63	UHC Service Coverage sub-index on noncommunicable...
`GHO (URL)`	GHO (URL)	string	0%	62	https://www.who.int/data/gho/data/indicators/indicator-de...
`YEAR (DISPLAY)`	YEAR (DISPLAY)	string	0%	37	2018, 2012, 2014, 1990, 2002
`STARTYEAR`	STARTYEAR	string	0%	37	2018, 2012, 2014, 1990, 2002
`ENDYEAR`	ENDYEAR	string	0%	37	2018, 2012, 2014, 1990, 2002
`REGION (CODE)`	REGION (CODE)	string	0%	1	SEAR, SEAR, SEAR, SEAR, SEAR
`REGION (DISPLAY)`	REGION (DISPLAY)	string	0%	1	South-East Asia, South-East Asia, South-East Asia,...
`COUNTRY (CODE)`	COUNTRY (CODE)	string	0%	1	PRK, PRK, PRK, PRK, PRK
`COUNTRY (DISPLAY)`	COUNTRY (DISPLAY)	string	0%	1	Democratic People's Republic of Korea, Democratic...
`DIMENSION (TYPE)`	DIMENSION (TYPE)	string	11%	11	SEX, SEX, SEX, SEX, RESIDENCEAREATYPE
`DIMENSION (CODE)`	DIMENSION (CODE)	string	11%	24	SEX_FMLE, SEX_FMLE, SEX_FMLE, SEX_BTSX, RESIDENCEAREATYPE_RUR
`DIMENSION (NAME)`	DIMENSION (NAME)	string	11%	23	Female, Female, Female, Both sexes, Rural
`Numeric`	Numeric	float	13%	80	64.0, 4.293856724, 8.971939717, 6.7289539, 4.0150333
`Value`	Value	string	1%	85	64, 4.3 [3.3-5.6], 9.0 [4.8-17.0], 6.7 [2.1-14.5], 4.0 [1.0-9.5]
`Low`	Low	float	39%	57	3.320809104, 4.83693311, 2.1189103, 1.0121285, 4.2
`High`	High	float	39%	59	5.583855726, 17.02164192, 14.475568, 9.5356517, 5.1

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

9,886 rows · 3 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 5 SEL 12 CCL 33 ext ▶

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0 Admin 0 — 3 table(s)

KOR 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	KOR, KOR, KOR, KOR, KOR
`gns_language_code`	gns_language_code	string	CCL	0%	6	kor, jpn, eng, zho, und
`gns_language_name`	gns_language_name	string	CCL	0%	6	Korean, Japanese, English, Chinese, Undetermined
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	6	259203, 1623, 813, 57, 10
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	6	99.0409, 0.6201, 0.3106, 0.0218, 0.0038
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	4	114874, 1, 0, 57, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	3	Hang, Latn, Latn, Hani, Latn
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	3	Hangul (Hangŭl, Hangeul), Latin, Latin, Han (Hanzi,...
`gns_script_count`	gns_script_count	integer	CCL	0%	3	3, 2, 1, 1, 1

KOR 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	KOR
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Korea, South
`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	99.9968
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	142165

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	346736
`gns_feature_count`	gns_feature_count	integer	0%	1	141571
`gns_endonym_count`	gns_endonym_count	integer	0%	1	346725
`gns_exonym_count`	gns_exonym_count	integer	0%	1	11
`gns_source_build_date`	gns_source_build_date	string	0%	1	Thu, 24 Sep 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-09-24
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	86063
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	36148
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	13368
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	5901
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	143955
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	60013
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	40343
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	15846
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	3379
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	1414
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	28102
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	12243
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	31464
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	9975
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	62
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	31

KOR NGA GNS - Admin Crosswalk — 9,879 rows, 12 columns

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Field details — 12 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	KOR, KOR, KOR, KOR, KOR

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

Field Name	Label	Type	Nulls	Unique	Samples
`gns_ufi`	gns_ufi	integer	0%	100	-713905, -707259, -707260, -717107, -717210
`admin_designation`	admin_designation	string	0%	2	ADM1, ADM1, ADM1, ADM1, ADM1
`gns_bgn_name`	gns_bgn_name	string	0%	90	Busan, Chungbuk, Chungnam, Daegu, Daejeon
`gns_local_name`	gns_local_name	string	0%	88	釜山廣域市, 충북, 忠南, 대구, 大田
`iso_3166_2`	iso_3166_2	string	0%	16	KR-26, KR-43, KR-44, KR-27, KR-30
`parent_code`	parent_code	string	0%	16	KOR, KOR, KOR, KOR, KOR
`gns_prominence_band`	gns_prominence_band	integer	0%	6	9, 9, 9, 9, 7
`latitude`	latitude	float	0%	98	35.133333, 36.821529, 36.5, 35.966667, 36.333333
`longitude`	longitude	float	0%	96	129.05, 127.656847, 127.0, 128.65, 127.416667
`gns_mgrs`	gns_mgrs	string	0%	100	52SED0455587830, 52SCF8021075916, 52SCF2087941268,...
`name_variant_count`	name_variant_count	integer	0%	18	17, 32, 29, 20, 8

KOR World Bank Open Data KOR-WORLD_BANK Development Indicators

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

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0 Admin 0 — 3 table(s)

KOR 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	KR, KR, KR, KR, KR
`population_count`	Population count	float	SEL	2%	65	25012374.0, 25765673.0, 26513030.0, 27261747.0, 27984155.0
`life_expectancy`	Life expectancy	float	SEL	3%	63	53.7975609756098, 54.4768536585366, 55.0549512195122,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	158.844150776359, 94.2045938667769, 106.623915747203,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	99%	1	97.9700012207031
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	63	111.6, 106.3, 101.4, 96.7, 91.8
`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, Rep., Korea, Rep., Korea, Rep., Korea, Rep., Korea, Rep.
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

KOR 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	KR, KR, KR, KR, KR
`life_expectancy`	Life expectancy	float	SEL	3%	63	53.7975609756098, 54.4768536585366, 55.0549512195122,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	56	28.2, 28.1, 27.9, 27.8, 27.5
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	63	111.6, 106.3, 101.4, 96.7, 91.8
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	26	38.0, 35.0, 34.0, 31.0, 29.0
`fertility_rate`	Fertility rate	float	SEL	3%	64	5.994, 5.803, 5.562, 5.334, 5.068
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	54	42.073, 40.851, 38.974, 37.194, 35.174
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	32	12.967, 12.512, 12.097, 12.037, 11.75
`physicians_per_1000`	Physicians per 1000	float	SEL	36%	37	0.5, 0.5, 0.5, 0.6, 0.6
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	46%	35	1.70000004768372, 2.40000009536743, 3.0, 3.0999999046,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	33%	20	61.0, 61.0, 69.0, 76.0, 76.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	62%	25	3.71794796, 4.16983986, 3.90854764, 4.46640348, 4.43287992

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, Rep., Korea, Rep., Korea, Rep., Korea, Rep., Korea, Rep.
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964

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

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	KOR, KOR, KOR, KOR, KOR
`country_name`	country_name	string	0%	1	Korea, Rep., Korea, Rep., Korea, Rep., Korea, Rep., Korea, Rep.
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	18499.0, 52719.0, 144426.0, 231744.0, 566098.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	8	0.0, 0.1, 0.3, 0.5, 1.2
`net_migration`	net_migration	float	0%	65	47245.0, -93179.0, -94606.0, -80226.0, -102284.0
`remittances_received_usd`	remittances_received_usd	float	24%	50	47000000.0, 103000000.0, 105000000.0, 101000000.0, 562599975.6
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	24%	50	0.154752510272388, 0.263666751290514, 0.198770299446165,...
`remittances_paid_usd`	remittances_paid_usd	float	24%	50	1000000.0, 2000000.0, 3000000.0, 4000000.0, 57700000.76

KOR UNHCR Refugee Data Finder KOR-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

KOR UNHCR - Hosted Populations — 40 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%	-	-

KOR UNHCR - Origin Populations — 35 rows, 24 columns

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

Standards-Aligned Fields (6)

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

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

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

KOR LandScan Global (ORNL) KOR-LANDSCAN Modeled Population

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

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0 Admin 0 — 1 table(s)

KOR 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	KOR
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Republic of Korea
`admin_code`	Admin code	string	SEL	0%	1	49999745B78682194967963
`area_sqkm`	Area sqkm	float	SEL	0%	1	98542.992
`pop_2024`	Population count	integer	SEL	0%	1	51205998
`pop_density_2024`	Population density	float	SEL	0%	1	519.63

1 Admin 1 — 1 table(s)

KOR LandScan - Population Admin1 (admin_1) — 17 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	KOR, KOR, KOR, KOR, KOR
`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%	17	Gyeonggi, Seoul, South Gyeongsang, North Gyeongsang, Busan
`admin_code`	Admin code	string	SEL	0%	17	68945753B43731078897969, 68945753B55100681051852,...
`area_sqkm`	Area sqkm	float	SEL	0%	17	10209.0152, 578.1152, 10132.8223, 18622.4848, 282.1062
`pop_2024`	Population count	integer	SEL	0%	17	14119081, 9123403, 3656743, 2961521, 2676481
`pop_density_2024`	Population density	float	SEL	0%	17	1383.0, 15781.29, 360.88, 159.03, 9487.49

Locality Locality — 1 table(s)

KOR LandScan - Cities (locality) — 49 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	KOR, KOR, KOR, KOR, KOR
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	49	Seoul, Busan, Daegu, Daejeon, Gwangju
`admin_code`	Admin code	integer	SEL	0%	49	348, 3920, 2920, 2241, 2667
`area_sqkm`	Area sqkm	float	SEL	0%	49	2277.9968, 354.1915, 286.3937, 203.5916, 189.5694
`pop_2024`	Population count	integer	SEL	0%	49	21593087, 3067725, 2369779, 1446973, 1419198
`pop_density_2024`	Population density	float	SEL	0%	49	9478.98, 8661.2, 8274.55, 7107.23, 7486.43

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%	49	22261692, 3263408, 2300085, 1504229, 1428492
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	46	0.97, 0.94, 1.03, 0.962, 0.993

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

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

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

Locality Locality — 1 table(s)

KOR GHS-UCDB - Cities (locality) — 49 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%	49	Seoul, Busan, Daegu, Daejeon, Gwangju
`country_code`	Country code	string	SEL	0%	1	KOR, KOR, KOR, KOR, KOR
`population`	Population count	integer	SEL	0%	49	22261692, 3263408, 2300085, 1504229, 1428492

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	49	348, 3920, 2920, 2241, 2667
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	South Korea, South Korea, South Korea, South Korea, South 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%	-	-

KOR OpenFactBook KOR-OPENFACTBOOK Country Profile

16 rows · 16 tables · 2024 OpenFactBook 0 1 2 3 94 SEL 1 CCL 610 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 — 16 table(s)

KOR OpenFactBook - Communications — 1 rows, 21 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	43.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	173.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	97.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	47.0
`country_code`	Country code	string	SEL	0%	1	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	22.155 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	22.155
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	43 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	89.2 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	89.2
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	173 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	multiple national TV networks, with 2 of the 3 largest...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2.0
`internet_country_code_text`	Internet country code text	string	0%	1	.kr
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	97% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	24.1 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	24.1
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	47 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/ks.json

KOR OpenFactBook - Economy — 1 rows, 148 columns

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Field details — 153 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	1.713
`country_code`	Country code	string	SEL	0%	1	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`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	high-income, export- and technology-oriented East Asian...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$2.607 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	2.607
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$2.572 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	2.572
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text`	Real gdp purchasing power parity 2021 (text)	string	0%	1	$2.507 trillion (2021 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_numeric`	Real gdp purchasing power parity 2021 (numeric)	float	0%	1	2.507
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	1.4% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	1.4
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	2.6% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	2.6
`real_gdp_growth_rate_real_gdp_growth_rate_2021_text`	Real gdp growth rate 2021 (text)	string	0%	1	4.3% (2021 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2021_numeric`	Real gdp growth rate 2021 (numeric)	float	0%	1	4.3
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$50,400 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	50400.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$49,800 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	49800.0
`real_gdp_per_capita_real_gdp_per_capita_2021_text`	Real gdp per capita 2021 (text)	string	0%	1	$48,400 (2021 est.)
`real_gdp_per_capita_real_gdp_per_capita_2021_numeric`	Real gdp per capita 2021 (numeric)	float	0%	1	48400.0
`real_gdp_per_capita_note`	real_gdp_per_capita_note	string	0%	1	note: data in 2021 dollars
`gdp_official_exchange_rate_text`	gdp_official_exchange_rate_text	string	0%	1	$1.713 trillion (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2.3% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	3.6% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	3.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	5.1% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	5.1
`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.

KOR OpenFactBook - Energy — 1 rows, 63 columns

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Field details — 63 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	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (59) — 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	151.139 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	151.139
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	575.359 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	575.359
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	19.688 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	19.688
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	61.5% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	61.5
`electricity_generation_sources_nuclear_text`	electricity_generation_sources_nuclear_text	string	0%	1	30.3% of total installed capacity (2023 est.)
`electricity_generation_sources_nuclear_numeric`	electricity_generation_sources_nuclear_numeric	float	0%	1	30.3
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	5.3% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	5.3
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	0.6% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	0.6
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	0.4% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	0.4
`electricity_generation_sources_tide_and_wave_text`	electricity_generation_sources_tide_and_wave_text	string	0%	1	0.1% of total installed capacity (2023 est.)
`electricity_generation_sources_tide_and_wave_numeric`	electricity_generation_sources_tide_and_wave_numeric	float	0%	1	0.1
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1.8% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.8
`nuclear_energy_number_of_operational_nuclear_reactors_text`	nuclear_energy_number_of_operational_nuclear_reactors_text	string	0%	1	26 (2025)
`nuclear_energy_number_of_operational_nuclear_reactors_numeric`	nuclear_energy_number_of_operational_nuclear_reactors_numeric	float	0%	1	26.0
`nuclear_energy_number_of_nuclear_reactors_under_construction_text`	nuclear_energy_number_of_nuclear_reactors_under_construction_text	string	0%	1	2 (2025)
`nuclear_energy_number_of_nuclear_reactors_under_construction_numeric`	nuclear_energy_number_of_nuclear_reactors_under_construction_numeric	float	0%	1	2.0
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_text`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_text	string	0%	1	25.57GW (2025 est.)
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric	float	0%	1	25.57
`nuclear_energy_percent_of_total_electricity_production_text`	nuclear_energy_percent_of_total_electricity_production_text	string	0%	1	30.7% (2023 est.)
`nuclear_energy_percent_of_total_electricity_production_numeric`	nuclear_energy_percent_of_total_electricity_production_numeric	float	0%	1	30.7
`nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text`	nuclear_energy_number_of_nuclear_reactors_permanently_shut_down_text	string	0%	1	2 (2025)
+29 more extension fields — download the CSV/Parquet to see them all.

KOR OpenFactBook - Environment — 1 rows, 54 columns

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Field details — 60 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	16.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	64.4
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	81.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.31
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	20.453
`country_code`	Country code	string	SEL	0%	1	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (52) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	air pollution in large cities; acid rain; water...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Environmental Protection, Antarctic-Marine...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`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	temperate, with rainfall heavier in summer than winter;...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	16.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 14.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	14.9
`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: 0.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	0.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	64.4% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	19.5% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	19.5
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	81.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.31% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	644.231 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	644.231
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	275.411 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	275.411
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	248.599 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	248.599
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	120.222 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	120.222
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	25 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	25.0
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	145.7 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	145.7
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	500 kt (2019-2021 est.)
+22 more extension fields — download the CSV/Parquet to see them all.

KOR 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	KOR
`country_name`	Country name	string	SEL	0%	1	South 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	Korean
`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/ks.json

KOR OpenFactBook - Geography — 1 rows, 53 columns

Loading data…

Field details — 57 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	99720.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	96920.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	2800.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	237.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	2413.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	1950.0
`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	16.1
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	64.4
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	7780.0
`country_code`	Country code	string	SEL	0%	1	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Eastern Asia, southern half of the Korean Peninsula...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	37 00 N, 127 30 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	37.0
`map_references_text`	map_references_text	string	0%	1	Asia
`area_total_text`	area_total_text	string	0%	1	99,720 sq km
`area_land_text`	area_land_text	string	0%	1	96,920 sq km
`area_water_text`	area_water_text	string	0%	1	2,800 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than Pennsylvania; slightly larger than Indiana
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	237 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	North Korea 237 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	237.0
`coastline_text`	coastline_text	string	0%	1	2,413 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm; between 3 nm and 12 nm in the Korea Strait
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_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_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	not specified
`climate_text`	climate_text	string	0%	1	temperate, with rainfall heavier in summer than winter;...
`terrain_text`	terrain_text	string	0%	1	mostly hills and mountains; wide coastal plains in west and south
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Halla-san 1,950 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	282 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	282.0
`natural_resources_text`	natural_resources_text	string	0%	1	coal, tungsten, graphite, molybdenum, lead, hydropower potential
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	16.1% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 14.9% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	14.9
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 2.1% (2023 est.)
+14 more extension fields — download the CSV/Parquet to see them all.

KOR OpenFactBook - Government — 1 rows, 82 columns

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Field details — 110 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	KOR
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (108) — 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	Republic of Korea
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	South Korea
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Taehan-min'guk
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Han'guk
`country_name_abbreviation_text`	country_name_abbreviation_text	string	0%	1	ROK
`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	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Seoul
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	37 33 N, 126 59 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	37.0
`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_etymology_text`	capital_etymology_text	string	0%	1	the name originates from the Korean word meaning...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1392.0
`capital_note`	capital_note	string	0%	1	note: Sejong, located some 120 km (75 mi) south of...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	9 provinces (do, singular and plural), 6 metropolitan...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	9.0
`legal_system_text`	legal_system_text	string	0%	1	mixed system combining European civil law,...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest passed by National Assembly 12...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	12.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the president or by majority support of the...
`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 South 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	5 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	5.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
+78 more extension fields — download the CSV/Parquet to see them all.

KOR OpenFactBook - Introduction — 1 rows, 6 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	KOR
`country_name`	Country name	string	SEL	0%	1	South 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/ks.json

KOR OpenFactBook - Languages — 1 rows, 7 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	KOR
`country_name`	Country name	string	SEL	0%	1	South 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, English
`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/ks.json

KOR OpenFactBook - Migration — 1 rows, 9 columns

Loading data…

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	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`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
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	40,084 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	40084.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	248 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	248.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/ks.json

KOR OpenFactBook - Military And Security — 1 rows, 21 columns

Loading data…

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	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`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	Armed Forces of the Republic of Korea: Republic of Korea...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2025_text`	Military expenditures 2025 (text)	string	0%	1	2.3% of GDP (2025 est.)
`military_expenditures_military_expenditures_2025_numeric`	Military expenditures 2025 (numeric)	float	0%	1	2.3
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	2.4% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	2.4
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	2.4% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	2.4
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	2.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	2.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	2.4% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	2.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 500,000 active Armed Forces (365,000 Army;...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	500000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the South Korean military is equipped with a mix of...
`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	18-29 years of age for voluntary military service for...
`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	250 Lebanon (UNIFIL); 275 South Sudan (UNMISS);...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	250.0
`military_note_text`	military_note_text	string	0%	1	the South Korean military is responsible for external...
`military_note_numeric`	military_note_numeric	float	0%	1	1953.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/ks.json

KOR OpenFactBook - People And Society — 1 rows, 110 columns

Loading data…

Field details — 123 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	51486343.0
`population_male_numeric`	Population male	float	SEL	0%	1	25636127.0
`population_female_numeric`	Population female	float	SEL	0%	1	25850216.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	11.3
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	69.4
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	19.3
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	44.9
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	14.7
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	30.2
`median_age_total_numeric`	Median age	float	SEL	0%	1	47.0
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.09
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	4.29
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	6.94
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	1.76
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	81.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.31
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.05
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	1.01
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	4.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	2.2
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	83.4
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	0.68
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.33
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	2.61
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	12.8
`country_code`	Country code	string	SEL	0%	1	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (95) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	51,486,343 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	25,636,127
`population_female_text`	population_female_text	string	0%	1	25,850,216
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	11.3% (male 3,024,508/female 2,873,523)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	69.4% (male 18,653,915/female 17,465,817)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	19.3% (2024 est.) (male 4,440,688/female 5,623,348)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	44.9 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	14.7 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	30.2 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	3.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	3.3
`median_age_total_text`	median_age_total_text	string	0%	1	47 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	44 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	44.0
`median_age_female_text`	median_age_female_text	string	0%	1	47.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	47.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.09% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	4.29 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	6.94 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	1.76 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the population is primarily concentrated in the lowland...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	81.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.31% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	9.988 million SEOUL (capital), 3.472 million Busan,...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	9.988
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.07 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.07
+65 more extension fields — download the CSV/Parquet to see them all.

KOR OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 12 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	KOR
`country_name`	Country name	string	SEL	0%	1	South Korea
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_buddhist_pct_synth`	Buddhist	numeric	CCL	0%	-	16.0

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

Field Name	Label	Type	Nulls	Unique	Samples
`religions_text`	religions_text	string	0%	1	Protestant 17%, Buddhist 16%, Catholic 6%, none 60% (2021 est.)
`religions_numeric`	religions_numeric	float	0%	1	17.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/ks.json

Pending (4) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	17.0
`composition_religion_catholic_pct_synth`	Catholic	numeric	0%	-	6.0
`composition_religion_none_pct_synth`	none	numeric	0%	-	60.0
`composition_ethnicity_korean_pct_synth`	Korean	numeric	0%	-	-

KOR OpenFactBook - Space — 1 rows, 9 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	KOR
`country_name`	Country name	string	SEL	0%	1	South 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	Korea AeroSpace Administration (KASA; established 2024);...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2024.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	Naro Space Center (South Jeolla province) (2025)
`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	has an ambitious space program focused on developing...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1992 - first domestically made technology-demonstrator...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1992.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/ks.json

KOR OpenFactBook - Transnational Issues — 1 rows, 6 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	KOR
`country_name`	Country name	string	SEL	0%	1	South 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
`illicit_drugs_usg_identification_text`	illicit_drugs_usg_identification_text	string	0%	1	major precursor-chemical producer (2025)
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/ks.json

KOR OpenFactBook - Transportation — 1 rows, 29 columns

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Field details — 31 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	92.0
`country_code`	Country code	string	SEL	0%	1	KOR
`country_name`	Country name	string	SEL	0%	1	South 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
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	HL
`airports_text`	airports_text	string	0%	1	92 (2025)
`heliports_text`	heliports_text	string	0%	1	1,280 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	1280.0
`railways_total_text`	railways_total_text	string	0%	1	3,979 km (2016)
`railways_total_numeric`	railways_total_numeric	float	0%	1	3979.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	3,979 km (2016) 1.435-m gauge (2,727 km electrified)
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	3979.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	2,149 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	2149.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 93, container ship 115, general cargo 362,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	93.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	15 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	15.0
`ports_large_text`	ports_large_text	float	0%	1	2
`ports_large_numeric`	ports_large_numeric	float	0%	1	2.0
`ports_medium_text`	ports_medium_text	float	0%	1	5
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	5.0
`ports_small_text`	ports_small_text	float	0%	1	4
`ports_small_numeric`	ports_small_numeric	float	0%	1	4.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	4
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	4.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	10
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	10.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Busan, Gwangyang Hang, Inchon, Masan, Mokpo, Pyeongtaek...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	east-n-southeast-asia/ks.json

KOR Glottolog Language Catalog KOR-GLOTTOLOG Language

6 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 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)

KOR Glottolog - Languages — 6 rows, 16 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	6	jeju1234, kogu1234, kore1273, kore1280, paek1234
`name`	Name	string	CCL	0%	6	Jejueo, Koguryo, Korean Sign Language, Korean, Paekche
`iso639_3`	Iso639 3	string	CCL	17%	5	jje, zkg, kvk, kor, pkc
`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%	3	kore1284, uncl1493, sign1238, kore1284, uncl1493
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	3	kore1284, uncl1493, jsli1234, kore1284, uncl1493
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	2	0, 0, 0, 13, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	50%	3	33.3805, 37.4718, 37.54
`longitude`	longitude	float	50%	3	126.5554, 127.609, 126.98
`country_codes`	Country codes	string	0%	2	['KR'], ['KR'], ['KR'], ['CN', 'KP', 'KR', 'RU'], ['KR']
`classification`	classification	string	0%	1	[], [], [], [], []

KOR D-PLACE KOR-DPLACE Ethnographic Societies

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

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

0 Admin 0 — 2 table(s)

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

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	KOR
`society_id`	Society id	string	CCL	0%	1	Ed1
`society_name`	Society name	string	CCL	0%	1	Koreans
`language_glottocode`	Language glottocode	string	CCL	0%	1	kore1280
`language_name`	Language name	string	CCL	0%	1
`kinship_system`	Kinship system	string	CCL	0%	1	EA017:4; EA018:4; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	1	EA006:6; EA007:8; EA008:6; EA009:1; EA023:8; EA025:15
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	1	EA001:0; EA002:0; EA003:2; EA004:2; EA005:6; EA028:6;...
`political_complexity`	Political complexity	string	CCL	0%	1	EA032:3; EA033:3
`religion_importance`	Religion importance	string	CCL	0%	1	EA034:1; EA112:4
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA010:8; EA011:1; EA012:8; EA013:2; EA014:6
`settlement_pattern`	settlement_pattern	string	CCL	0%	1	EA030:7; EA031:8

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	South Korea
`dataset`	dataset	string	0%	1	EA
`region`	region	string	0%	1
`latitude`	latitude	float	0%	1	38.134147
`longitude`	longitude	float	0%	1	126.960754
`assignment_method`	assignment_method	string	0%	1	point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and Environment
`source_url`	source_url	string	0%	1	https://d-place.org
`license`	license	string	0%	1	CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024

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

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	KOR
`society_id`	society_id	string	CCL	0%	1	Ed1
`society_name`	society_name	string	CCL	0%	1	Koreans
`language_glottocode`	language_glottocode	string	CCL	0%	1	kore1280
`language_name`	language_name	string	CCL	0%	1

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	South Korea
`dataset`	dataset	string	0%	1	EA
`region`	region	string	0%	1
`latitude`	latitude	float	0%	1	38.134147
`longitude`	longitude	float	0%	1	126.960754
`assignment_method`	assignment_method	string	0%	1	point_in_polygon
`assignment_confidence`	assignment_confidence	string	0%	1	approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and Environment
`source_url`	source_url	string	0%	1	https://d-place.org
`license`	license	string	0%	1	CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	0%	1	3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	0%	1	3
`religion_high_gods`	religion_high_gods	integer	0%	1	1
`trance_states`	trance_states	integer	0%	1	4
`settlement_patterns`	settlement_patterns	integer	0%	1	7
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	0%	1	8
`marital_residence_first_years`	marital_residence_first_years	integer	0%	1	8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	1	1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	1	8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	1	2
`marital_residence_alternate`	marital_residence_alternate	integer	0%	1	6
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	1	4
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	1	4
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	1	1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	1	9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	0%	1	3
`descent_major_type`	descent_major_type	integer	0%	1	1
+14 more extension fields — download the CSV/Parquet to see them all.

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

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

1 rows × 258 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

KOR Inform - Risk Index — 1 rows, 258 columns

Loading data…

Field details — 258 fields (type, nulls, unique, samples)

Pending (258) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	KOR
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	0.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0285714285714286
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	97100.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.0
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.00632459818954923
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	1.0
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	0.377643376588821
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	1.3
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	0.5
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	1.0
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	0.0
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	0.4
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	0.3
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	0.5
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	0.3
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.0
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	3.5
`inform_cc_inf_com`	Communication	float	0%	1	0.5
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	1.4
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	0.3
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	0.2
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	0.0
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.0
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	0.0
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	0.0
`inform_institutional_capacity`	Institutional	float	0%	1	2.0
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	1.2
+228 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

South Korea

Build a download

Language	Place names	Share*	Script
Korean (kor)	259,203	99.0%	Hangul (Hangŭl, Hangeul) +2
Japanese (jpn)	1,623	0.6%	Latin +1
English (eng)	813	0.3%	Latin
+ 3 further languages (74 names, each under 0.05%)

Source	Type	Access
HDX (Humanitarian Data Exchange)	international_organization	bulk_download
Glottolog Language Catalog	academic	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
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
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