Argentina

ARG Instituto Nacional de Estadística y Censos (INDEC) ARG-INDEC_CENSO Census

555 rows · 3 table(s) Instituto Nacional de Estadística y Censos (INDEC) 0 1 2 3 12 SEL 6 ext ▶

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0 Admin 0 — 1 table(s)

ARG Indec Censo - Arg Population (admin_0) — 1 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	1	ARG
`admin_name`	Admin name	string	SEL	0%	1	Argentina
`population_count`	Population count	integer	SEL	0%	1	46044703
`dwelling_count`	Dwelling count	integer	SEL	0%	1	17780210

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	integer	0%	1	2022

1 Admin 1 — 1 table(s)

ARG Indec Censo - Arg Population (admin_1) — 24 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	24	ciudad_autónoma_de_buenos_aires, buenos_aires,...
`admin_name`	Admin name	string	SEL	0%	24	Ciudad Autónoma de Buenos Aires, Buenos Aires,...
`population_count`	Population count	integer	SEL	0%	24	3120612, 17569053, 429556, 1142963, 603120
`dwelling_count`	Dwelling count	integer	SEL	0%	24	1638764, 6695273, 158989, 401658, 236010

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022

2 Admin 2 — 1 table(s)

ARG Indec Censo - Arg Population (admin_2) — 530 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`admin_code`	Admin code	string	SEL	0%	100	ciudad_autónoma_de_buenos_aires__comuna_1,...
`admin_name`	Admin name	string	SEL	0%	100	Comuna 1, Comuna 2, Comuna 3, Comuna 4, Comuna 5
`population_count`	Population count	integer	SEL	0%	100	223282, 158368, 195462, 230945, 193859
`dwelling_count`	Dwelling count	integer	SEL	0%	100	136185, 109754, 111907, 101524, 107271

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

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	integer	0%	1	2022, 2022, 2022, 2022, 2022

ARG Global Data Lab ARG-GDL Development Indices

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

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1 Admin 1 — 1 table(s)

ARG GDL - Subnational Indices — 238 rows, 11 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ARG, ARG, ARG, ARG, ARG
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	7	Total, Cuyo, Gran Buenos Aires, NEA, NOA
`human_development_index`	Human development index	float	SEL	0%	60	0.769, 0.772, 0.772, 0.746, 0.762
`health_index`	Health index	float	SEL	0%	14	0.794, 0.794, 0.794, 0.794, 0.794
`education_index`	Education index	float	SEL	0%	78	0.744, 0.74, 0.755, 0.701, 0.734
`income_index`	Income index	float	SEL	0%	59	0.77, 0.784, 0.767, 0.747, 0.759
`life_expectancy`	Life expectancy	float	SEL	0%	13	71.62, 71.62, 71.62, 71.62, 71.62
`mean_years_schooling`	Mean years schooling	float	SEL	0%	91	11.16, 11.07, 11.49, 10.19, 10.88

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	15	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

ARG UNHCR Refugee Data Finder ARG-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)

ARG 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%	-	-

ARG 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%	-	-

ARG World Bank Open Data ARG-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 18 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

ARG 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	AR, AR, AR, AR, AR
`population_count`	Population count	float	SEL	2%	65	20386045.0, 20726276.0, 21072538.0, 21421705.0, 21769453.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	64.242, 64.631, 64.618, 64.855, 64.816
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	778.251706763404, 971.338043308372, 870.217490905403,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	94%	4	93.9100036621094, 96.0400009155273, 97.1900024414062,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	17%	55	72.5, 71.7, 70.8, 69.7, 68.2
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	86%	9	30.3, 25.7, 32.0, 35.5, 42.0

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

ARG World Bank - Health Indicators — 66 rows, 13 columns

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	AR, AR, AR, AR, AR
`life_expectancy`	Life expectancy	float	SEL	3%	64	64.242, 64.631, 64.618, 64.855, 64.816
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	18%	50	24.8, 24.4, 23.9, 23.6, 23.4
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	17%	55	72.5, 71.7, 70.8, 69.7, 68.2
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	23	80.0, 76.0, 73.0, 70.0, 68.0
`fertility_rate`	Fertility rate	float	SEL	3%	61	3.136, 3.12, 3.126, 3.109, 3.075
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	63	8.654, 8.523, 8.712, 8.704, 8.887
`physicians_per_1000`	Physicians per 1000	float	SEL	62%	25	1.351, 1.667, 1.892, 1.869, 2.683
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	74%	16	6.35225057601929, 5.58580017089844, 4.5942997932,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	24	44.0, 49.0, 58.0, 61.0, 62.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	8.22001076, 8.26966286, 7.33203077, 6.92670012, 7.09477043

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

ARG LandScan Global (ORNL) ARG-LANDSCAN Modeled Population

101 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)

ARG 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	ARG
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	the Argentine Republic
`admin_code`	Admin code	string	SEL	0%	1	23045417B36938286673287
`area_sqkm`	Area sqkm	float	SEL	0%	1	2776549.1566
`pop_2024`	Population count	integer	SEL	0%	1	43176933
`pop_density_2024`	Population density	float	SEL	0%	1	15.55

1 Admin 1 — 1 table(s)

ARG LandScan - Population Admin1 (admin_1) — 23 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	ARG, ARG, ARG, ARG, ARG
`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%	23	Buenos Aires, Ciudad Autónoma de Buenos Aires, Córdoba,...
`admin_code`	Admin code	string	SEL	0%	23	19177384B97722443848736, 19177384B49506124846693,...
`area_sqkm`	Area sqkm	float	SEL	0%	23	382937.7372, 947.9767, 164423.7693, 131356.1324, 151902.9691
`pop_2024`	Population count	integer	SEL	0%	23	12302961, 6640694, 4052138, 3530514, 2062440
`pop_density_2024`	Population density	float	SEL	0%	23	32.13, 7005.12, 24.64, 26.88, 13.58

Locality Locality — 1 table(s)

ARG LandScan - Cities (locality) — 77 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	ARG, ARG, ARG, ARG, ARG
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	77	Buenos Aires, Cordoba, Rosario, San Miguel de Tucumán, Mendoza
`admin_code`	Admin code	integer	SEL	0%	77	4443, 2335, 3547, 1476, 214
`area_sqkm`	Area sqkm	float	SEL	0%	77	2180.7964, 319.0165, 198.452, 169.3209, 207.4275
`pop_2024`	Population count	integer	SEL	0%	77	14730906, 1587356, 1140844, 917371, 906003
`pop_density_2024`	Population density	float	SEL	0%	77	6754.83, 4975.78, 5748.72, 5417.94, 4367.81

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%	77	14179912, 1468197, 1187382, 986267, 1063217
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	75	1.039, 1.081, 0.961, 0.93, 0.852

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

77 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)

ARG GHS-UCDB - Cities (locality) — 77 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%	77	Buenos Aires, Cordoba, Rosario, Mendoza, San Miguel de Tucumán
`country_code`	Country code	string	SEL	0%	1	ARG, ARG, ARG, ARG, ARG
`population`	Population count	integer	SEL	0%	77	14179912, 1468197, 1187382, 1063217, 986267

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	77	4443, 2335, 3547, 214, 1476
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Argentina, Argentina, Argentina, Argentina, Argentina
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

ARG Glottolog Language Catalog ARG-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

ARG Glottolog - Languages — 43 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%	43	abip1241, alac1240, alle1238, arge1236, calc1235
`name`	Name	string	CCL	0%	43	Abipon, Alacalufe-Central, Allentiac, Argentine Sign...
`iso639_3`	Iso639 3	string	CCL	23%	33	axb, aed, ayr, nhd, ydd
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	7%	12	guai1249, kawe1237, huar1251, sign1238, uncl1493
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	7%	25	guai1250, nort1506, huar1251, deaf1237, uncl1493
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	13	['AR'], ['AR'], ['AR'], ['AR'], ['AR']
`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%	8	0, 0, 0, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	7%	40	-29.0, -53.435719, -33.480938, -34.797, -27.47483
`longitude`	longitude	float	7%	39	-61.0, -71.04126, -68.096924, -59.1798, -66.42344
`classification`	classification	string	0%	1	[], [], [], [], []

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

24 rows · 1 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 5 SEL ▶

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1 Admin 1 — 1 table(s)

ARG Cod Ps - Arg Codps — 24 rows, 71 columns

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Field details — 71 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	24	AR002, AR006, AR010, AR014, AR018
`region_name`	Region name	string	SEL	0%	24	Ciudad de Buenos Aires, Buenos Aires, Catamarca,...
`F_TL`	Female population	integer	SEL	0%	24	1631341, 9016213, 209254, 1939365, 572533
`M_TL`	Male population	integer	SEL	0%	24	1447495, 8693385, 209737, 1858896, 557787
`T_TL`	Total population	integer	SEL	0%	24	3078836, 17709598, 418991, 3798261, 1130320

Pending (66) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2021, 2021, 2021, 2021, 2021
`ADM0_EN`	ADM0_EN	string	0%	1	Argentina, Argentina, Argentina, Argentina, Argentina
`T_00_04`	Total population age 0-4	integer	0%	24	202276, 1406898, 34295, 295608, 100740
`T_05_09`	Total population age 5-9	integer	0%	24	201450, 1456774, 33961, 296417, 100295
`T_10_14`	Total population age 10-14	integer	0%	24	197620, 1409895, 33214, 278284, 94565
`T_15_19`	Total population age 15-19	integer	0%	24	195299, 1323938, 35728, 276748, 90393
`T_20_24`	Total population age 20-24	integer	0%	24	191121, 1289452, 36788, 292718, 100133
`T_25_29`	Total population age 25-29	integer	0%	24	209628, 1316348, 34670, 302971, 99231
`T_30_34`	Total population age 30-34	integer	0%	24	227098, 1311644, 29162, 287076, 82235
`T_35_39`	Total population age 35-39	integer	0%	24	229265, 1222404, 27546, 265274, 70757
`T_40_44`	Total population age 40-44	integer	0%	24	223732, 1208092, 28816, 259747, 68322
`T_45_49`	Total population age 45-49	integer	0%	24	207663, 1086606, 25536, 227710, 60559
`T_50_54`	Total population age 50-54	integer	0%	24	173627, 931505, 21099, 193230, 53338
`T_55_59`	Total population age 55-59	integer	0%	24	156995, 844057, 18449, 180761, 50507
`T_60_64`	Total population age 60-64	integer	0%	24	152784, 762621, 16621, 163878, 45355
`T_65_69`	Total population age 65-69	integer	0%	24	139588, 667302, 14452, 145451, 38735
`T_70_74`	Total population age 70-74	integer	0%	24	122866, 555605, 11223, 124652, 29747
`T_75_79`	Total population age 75-79	integer	0%	24	99037, 405310, 7832, 92861, 20574
`T_80_84`	Total population age 80-84	integer	0%	24	70354, 264005, 4909, 60299, 13033
`T_85_89`	Total population age 85-89	integer	0%	24	43248, 152788, 2849, 33971, 7261
`T_90_94`	Total population age 90-94	integer	0%	24	24433, 69597, 1317, 15210, 3245
`T_95_99`	Total population age 95-99	integer	0%	24	8839, 20869, 424, 4540, 1039
`T_100Plus`	Total population age 100+	integer	0%	24	1913, 3888, 100, 855, 256
`F_00_04`	Female population age 0-4	integer	0%	24	98150, 682560, 16643, 143443, 48868
`F_05_09`	Female population age 5-9	integer	0%	24	97858, 707311, 16470, 143903, 48611
`F_10_14`	Female population age 10-14	integer	0%	24	96149, 683554, 16063, 135117, 45646
`F_15_19`	Female population age 15-19	integer	0%	24	95896, 645402, 17331, 136000, 44099
`F_20_24`	Female population age 20-24	integer	0%	24	95623, 633528, 17900, 145218, 49341
`F_25_29`	Female population age 25-29	integer	0%	24	106478, 652089, 16882, 150406, 49466
+36 more pending fields — download the CSV/Parquet to see them all.

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

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

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

1 Admin 1 — 1 table(s)

ARG Mobility by Region — 24 rows, 11 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	AR, AR, AR, AR, AR
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	ARG, ARG, ARG, ARG, ARG

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	23	-25.75, -14.7, -5.54, -2.55, -17.75
`grocery`	grocery	float	0%	24	13.3, 8.02, 5.74, 6.85, 1.71
`parks`	parks	float	0%	24	-13.89, -33.18, -22.8, -19.66, -42.67
`transit`	transit	float	0%	24	-32.44, -16.6, 7.3, -8.46, -25.47
`workplaces`	workplaces	float	0%	24	-22.44, 2.17, 11.98, 10.45, 5.51
`residential`	residential	float	0%	24	13.26, 4.92, 2.02, 1.46, 4.52
`region`	region	string	0%	24	Buenos Aires, Buenos Aires Province, Catamarca Province,...
`observation_count`	observation_count	integer	0%	24	15584, 122425, 8639, 18840, 7694

ARG OpenFactBook ARG-OPENFACTBOOK Country Profile

16 rows · 16 table(s) OpenFactBook 0 1 2 3 99 SEL 2 CCL 640 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)

ARG OpenFactBook - Communications — 1 rows, 22 columns

Loading data…

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	14.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	140.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.ar
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	89.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	25.0
`country_code`	Country code	string	SEL	0%	1	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	6.42 million (2024 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	6.42
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	14 (2024 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	64.1 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	64.1
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	140 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	one of South America's biggest media markets; dozens of...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	150.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	89% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	11.5 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	11.5
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	25 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

ARG OpenFactBook - Economy — 1 rows, 158 columns

Loading data…

Field details — 158 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	26500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	633.267
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	41.7
`country_code`	Country code	string	SEL	0%	1	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (152) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	large diversified economy; financial risks from debt...
`economic_overview_numeric`	economic_overview_numeric	float	0%	1	20.0
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.213 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	1.213
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$1.234 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	1.234
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.255 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	1.255
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	-1.7% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	-1.7
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	-1.6% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	-1.6
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	5.3% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	5.3
`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_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$26,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$27,100 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	27100.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$27,600 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	27600.0
`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	$633.267 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	73.1% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	73.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text`	Inflation rate consumer prices 2021 (text)	string	0%	1	47.1% (2021 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric`	Inflation rate consumer prices 2021 (numeric)	float	0%	1	47.1
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text`	Inflation rate consumer prices 2020 (text)	string	0%	1	40.5% (2020 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric`	Inflation rate consumer prices 2020 (numeric)	float	0%	1	40.5
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+122 more extension fields — download the CSV/Parquet to see them all.

ARG OpenFactBook - Energy — 1 rows, 65 columns

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Field details — 65 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	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (61) — 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	47.631 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	47.631
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	114.667 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	114.667
`electricity_exports_text`	electricity_exports_text	string	0%	1	31 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	31.0
`electricity_imports_text`	electricity_imports_text	string	0%	1	11.393 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	11.393
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	27.027 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	27.027
`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	6.9% of total installed capacity (2023 est.)
`electricity_generation_sources_nuclear_numeric`	electricity_generation_sources_nuclear_numeric	float	0%	1	6.9
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	2.5% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	2.5
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	11% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	11.0
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	16.5% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	16.5
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1.7% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.7
`nuclear_energy_number_of_operational_nuclear_reactors_text`	nuclear_energy_number_of_operational_nuclear_reactors_text	string	0%	1	3 (2025)
`nuclear_energy_number_of_operational_nuclear_reactors_numeric`	nuclear_energy_number_of_operational_nuclear_reactors_numeric	float	0%	1	3.0
`nuclear_energy_number_of_nuclear_reactors_under_construction_text`	nuclear_energy_number_of_nuclear_reactors_under_construction_text	string	0%	1	1 (2025)
`nuclear_energy_number_of_nuclear_reactors_under_construction_numeric`	nuclear_energy_number_of_nuclear_reactors_under_construction_numeric	float	0%	1	1.0
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_text`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_text	string	0%	1	1.64GW (2025 est.)
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_numeric	float	0%	1	1.64
`nuclear_energy_percent_of_total_electricity_production_text`	nuclear_energy_percent_of_total_electricity_production_text	string	0%	1	6.3% (2023 est.)
+31 more extension fields — download the CSV/Parquet to see them all.

ARG OpenFactBook - Environment — 1 rows, 55 columns

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Field details — 55 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	42.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	17.2
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	92.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.97
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	17.911
`country_code`	Country code	string	SEL	0%	1	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (47) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	deforestation; soil degradation (erosion, salinization);...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Environmental Protection, Antarctic-Marine...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Marine Dumping-London Protocol, Marine Life Conservation
`climate_text`	climate_text	string	0%	1	mostly temperate; arid in southeast; subantarctic in southwest
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	42.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 14.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	14.8
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 0.4% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	0.4
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 27.3% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	27.3
`land_use_forest_text`	land_use_forest_text	string	0%	1	17.2% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	40.4% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	40.4
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	92.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.97% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	198.141 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	198.141
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	5.022 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	5.022
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	102.998 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	102.998
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	90.122 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	90.122
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	12 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	12.0
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	1,553.3 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	1553.3
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	3,035.5 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	3035.5
+17 more extension fields — download the CSV/Parquet to see them all.

ARG OpenFactBook - Ethnic Groups — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`nationality_noun_text`	nationality_noun_text	string	0%	1	Argentine(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Argentine
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	European (mostly Spanish and Italian descent) and...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	97.2
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

ARG OpenFactBook - Geography — 1 rows, 66 columns

Loading data…

Field details — 66 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	2780400.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	2736690.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	43710.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	11968.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	4989.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	6962.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	-105.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	42.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	17.2
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	13910.0
`country_code`	Country code	string	SEL	0%	1	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`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
`location_text`	location_text	string	0%	1	Southern South America, bordering the South Atlantic...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	34 00 S, 64 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	34.0
`map_references_text`	map_references_text	string	0%	1	South America
`area_total_text`	area_total_text	string	0%	1	2,780,400 sq km
`area_land_text`	area_land_text	string	0%	1	2,736,690 sq km
`area_water_text`	area_water_text	string	0%	1	43,710 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly less than three-tenths the size of the US
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	11,968 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Bolivia 942 km; Brazil 1,263 km; Chile 6,691 km;...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	942.0
`coastline_text`	coastline_text	string	0%	1	4,989 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_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	200 nm or to the edge of the continental margin
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	mostly temperate; arid in southeast; subantarctic in southwest
`terrain_text`	terrain_text	string	0%	1	rich plains of the Pampas in northern half, flat to...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Cerro Aconcagua (located in the northwestern corner of...
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Laguna del Carbón (located between Puerto San Julián and...
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	595 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	595.0
`natural_resources_text`	natural_resources_text	string	0%	1	fertile plains of the pampas, lead, zinc, tin, copper,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	42.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 14.8% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	14.8
+23 more extension fields — download the CSV/Parquet to see them all.

ARG OpenFactBook - Government — 1 rows, 123 columns

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Field details — 123 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	ARG
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (121) — 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	Argentine Republic
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Argentina
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República Argentina
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Argentina
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name is derived from one of the Spanish words for...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	16.0
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Buenos Aires
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	34 36 S, 58 22 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	34.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-3 (2 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	-3.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name translates as "fair winds" in Spanish; the full...
`capital_etymology_numeric`	capital_etymology_numeric	float	0%	1	1536.0
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	23 provinces (provincias, singular - provincia) and 1...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	23.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system based on Western European legal systems
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest effective 11 May 1853
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	11.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	a declaration of proposed amendments requires two-thirds...
`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	yes
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	yes
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	2 years
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	2.0
`suffrage_text`	suffrage_text	string	0%	1	18-70 years of age; universal and compulsory; 16-17...
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	President Javier Gerardo MILEI (since 10 December 2023)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	10.0
+91 more extension fields — download the CSV/Parquet to see them all.

ARG 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	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`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	In 1816, the United Provinces of the Río de la Plata...
`background_numeric`	background_numeric	float	0%	1	1816.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

ARG 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	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`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	Spanish (official), Italian, English, German, French,...
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

ARG OpenFactBook - Migration — 1 rows, 11 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	9,175 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	9175.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	74 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	74.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	34 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	34.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

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

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Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`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 Argentine Republic (Fuerzas Armadas...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	0.6% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	0.5% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	0.5
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	0.6% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	0.6
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	0.8% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	0.8
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	0.8% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	0.8
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 75,000 active-duty Armed Forces (45,000...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	75000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the inventory of Argentina's armed forces is 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	18-24 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	230 Cyprus (UNFICYP) (2025)
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	230.0
`military_note_text`	military_note_text	string	0%	1	the Argentine military’s primary responsibilities are...
`military_note_numeric`	military_note_numeric	float	0%	1	1810.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

ARG OpenFactBook - People And Society — 1 rows, 134 columns

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Field details — 134 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	45418098.0
`population_male_numeric`	Population male	float	SEL	0%	1	22535980.0
`population_female_numeric`	Population female	float	SEL	0%	1	22882118.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	23.3
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	63.9
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	12.8
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	49.9
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	30.3
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	19.6
`median_age_total_numeric`	Median age	float	SEL	0%	1	34.6
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	0.26
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	10.47
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	7.94
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	0.06
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	92.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.97
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.07
`sex_ratio_total_population_numeric`	Sex ratio overall	float	SEL	0%	1	0.98
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	33.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	7.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	78.8
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.43
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.69
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	5.11
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	3.3
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	99.1
`country_code`	Country code	string	SEL	0%	1	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (105) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	45,418,098 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	22,535,980
`population_female_text`	population_female_text	string	0%	1	22,882,118
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	23.3% (male 5,632,983/female 5,301,778)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	63.9% (male 15,071,215/female 14,956,069)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	12.8% (2024 est.) (male 2,570,596/female 3,461,743)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	49.9 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	30.3 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	19.6 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	5.1 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	5.1
`median_age_total_text`	median_age_total_text	string	0%	1	34.6 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	32.1 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	32.1
`median_age_female_text`	median_age_female_text	string	0%	1	34.6 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	34.6
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	0.26% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	10.47 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	7.94 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	0.06 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	one third of the population lives in Buenos Aires;...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	92.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.97% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	15.490 million BUENOS AIRES (capital), 1.612 million...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	15.49
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.07 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.06
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.01 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.01
+75 more extension fields — download the CSV/Parquet to see them all.

ARG OpenFactBook - Religions — 1 rows, 20 columns

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Field details — 20 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	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	1.2
`composition_ethnicity_primary_label_synth`	European (mostly Spanish and Italian descent) and Mestizo (mixed European and Indigenous ancestry)	string	CCL	0%	-	European (mostly Spanish and Italian descent) and...

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	Roman Catholic 62.9%, Evangelical 15.3% (Pentecostal...
`religions_numeric`	religions_numeric	float	0%	1	62.9
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	62.9
`composition_religion_evangelical_pct_synth`	Evangelical	numeric	0%	-	15.3
`composition_religion_evangelical__pentecostal_pct_synth`	Pentecostal	numeric	0%	-	13.0
`composition_religion_evangelical__other_evangelical_pct_synth`	other Evangelical	numeric	0%	-	2.3
`composition_religion_jehovah_s_witness_and_church_of_jesus_christ_pct_synth`	Jehovah's Witness and Church of Jesus Christ	numeric	0%	-	1.4
`composition_religion_none_pct_synth`	none	numeric	0%	-	18.9
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	0.3
`composition_ethnicity_european_mostly_spanish_and_italian_descent_and_mestizo_mixed_european_and_indigenous_ancestry_pct_synth`	European (mostly Spanish and Italian descent) and Mestizo (mixed European and Indigenous ancestry)	numeric	0%	-	97.2
`composition_ethnicity_indigenous_pct_synth`	Indigenous	numeric	0%	-	2.4
`composition_ethnicity_african_descent_pct_synth`	African descent	numeric	0%	-	0.4
`composition_ethnicity_primary_share_pct_synth`	European (mostly Spanish and Italian descent) and Mestizo (mixed European and Indigenous ancestry)	numeric	0%	-	97.2

ARG 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	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`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	Argentina National Space Activities Commission (Comision...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	1991.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	Manuel Belgrano Space Center (Buenos Aires province);...
`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 a national space program and a history in the...
`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	1961-1967 - launched first rocket (Alfa Centauro) and...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1961.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

ARG OpenFactBook - Terrorism — 1 rows, 6 columns

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Field details — 6 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	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`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
`terrorist_group_s_text`	terrorist_group_s_text	string	0%	1	Hizballah
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

ARG OpenFactBook - Transportation — 1 rows, 29 columns

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Field details — 29 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	LV
`airports_numeric`	Airports count	float	SEL	0%	1	764.0
`country_code`	Country code	string	SEL	0%	1	ARG
`country_name`	Country name	string	SEL	0%	1	Argentina
`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
`airports_text`	airports_text	string	0%	1	764 (2025)
`heliports_text`	heliports_text	string	0%	1	148 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	148.0
`railways_total_text`	railways_total_text	string	0%	1	17,866 km (2018)
`railways_total_numeric`	railways_total_numeric	float	0%	1	17866.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	201 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	201.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	container ship 1, bulk carrier 1 general cargo 8, oil...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	1.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	37 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	37.0
`ports_large_text`	ports_large_text	float	0%	1	1
`ports_large_numeric`	ports_large_numeric	float	0%	1	1.0
`ports_medium_text`	ports_medium_text	float	0%	1	2
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	2.0
`ports_small_text`	ports_small_text	float	0%	1	10
`ports_small_numeric`	ports_small_numeric	float	0%	1	10.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	24
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	24.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	19
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	19.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Buenos Aires, Campana, Concepcion del Uruguay, La Plata,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-america/ar.json

ARG D-PLACE ARG-DPLACE Ethnographic Societies

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

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

0 Admin 0 — 1 table(s)

ARG D-PLACE - Dplace Ea Societies — 6 rows, 18 columns

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ARG, ARG, ARG, ARG, ARG
`society_id`	Society id	string	CCL	0%	6	Sg2, Sg4, Sh1, Sh3, Sh8
`society_name`	Society name	string	CCL	0%	6	Mapuche, Tehuelche, Wichí, Abipón, Toba
`language_glottocode`	Language glottocode	string	CCL	0%	6	mapu1245, tehu1242, wich1264, abip1241, toba1269
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	6	EA001:1; EA002:0; EA003:1; EA004:2; EA005:6, EA001:2;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	6	EA006:1; EA007:8; EA008:7; EA009:5; EA010:8, EA006:4;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	6	EA028:5; EA029:6; EA030:6; EA031:2; EA032:4, EA028:1;...
`political_complexity`	Political complexity	string	CCL	0%	6	EA033:1; EA034:3; EA035:5, EA033:1; EA034:2; EA035:5,...
`religion_importance`	Religion importance	string	CCL	0%	6	EA034:3; EA112:NA, EA034:2; EA112:4, EA034:1; EA112:4,...
`residence_pattern`	Residence pattern	string	CCL	0%	6	EA011:1; EA012:8; EA013:2, EA011:1; EA012:10; EA013:9,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Argentina, Argentina, Argentina, Argentina, Argentina
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	6	-39.0, -46.0, -24.0, -29.0, -25.0
`longitude`	longitude	float	0%	6	-68.0, -70.0, -63.0, -61.0, -60.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate

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

4 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 24 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)

ARG Nga Gns - Language — 3 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	ARG, ARG, ARG
`gns_language_code`	gns_language_code	string	CCL	0%	3	spa, eng, por
`gns_language_name`	gns_language_name	string	CCL	0%	3	Spanish, English, Portuguese
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	3	21683, 45, 10
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	3	99.747, 0.207, 0.046
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0

ARG Nga Gns - Summary — 1 rows, 31 columns

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Field details — 31 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	ARG
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Argentina
`gns_language_count`	gns_language_count	integer	CCL	0%	1	3
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9865
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	66555
`gns_feature_count`	gns_feature_count	integer	0%	1	56162
`gns_endonym_count`	gns_endonym_count	integer	0%	1	66546
`gns_exonym_count`	gns_exonym_count	integer	0%	1	9
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	18994
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	14832
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	20308
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	18799
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	11471
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	9693
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	3665
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	3412
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	10750
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	8799
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	1269
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	542
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	46
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	42
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	51
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	42
`gns_name_count_undersea`	gns_name_count_undersea	integer	0%	1	1
`gns_feature_count_undersea`	gns_feature_count_undersea	integer	0%	1	1

ARG Ethnic Power Relations Dataset ARG-EPR Political Ethnicity

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

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

0 Admin 0 — 1 table(s)

ARG EPR - Groups — 2 rows, 8 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	ARG, ARG
`ethnic_group_name`	Ethnic group name	string	CCL	0%	2	Whites/mestizos, Indigenous peoples
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	MONOPOLY, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	2	0.97, 0.015
`ethnic_group_id`	Ethnic group id	float	CCL	0%	2	16001000, 16002000
`regional_autonomy`	Regional autonomy	string	CCL	0%	2	, false

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

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

ARG LandScan Mosaic (ORNL) ARG-LANDSCAN_MOSAIC Modeled Population

1 rows · 1 table(s) LandScan Mosaic (ORNL) 0 1 2 3 7 SEL 1 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)

ARG Landscan Mosaic - Population Admin0 (admin_0) — 1 rows, 8 columns

Loading data…

Field details — 8 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	ARG
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	the Argentine Republic
`admin_code`	Admin code	string	SEL	0%	1	23045417B36938286673287
`area_sqkm`	Area sqkm	float	SEL	0%	1	2776549.1566
`population`	Population count	float	SEL	0%	1	42887570.82
`pop_density`	Population density	float	SEL	0%	1	15.45

Extension Fields (1) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`confidence`	confidence	float	0%	1	0.5246

ARG Global Organized Crime Index ARG-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)

ARG 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.

ARG World Values Survey ARG-WVS Attitudes Values

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

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

0 Admin 0 — 1 table(s)

ARG WVS - Country Aggregates — 1 rows, 26 columns

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

Standards-Aligned Fields (1)

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

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

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

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
Instituto Nacional de Estadística y Censos (INDEC)	official_nso	bulk_download
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Google	commercial	bulk_download
World Values Survey	academic	metadata_catalog
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
World Bank Open Data	international_organization	api
Ethnic Power Relations Dataset	academic	bulk_download
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
Global Data Lab	academic	api
Glottolog Language Catalog	academic	bulk_download
LandScan Mosaic (ORNL)	research_institution	direct_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