Afghanistan

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

439 rows · 3 table(s) · 2018 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 8 SEL ▶

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)

AFG Cod Ps - Afg Codps (admin_0) — 2 rows, 60 columns

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Field details — 60 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	2	#adm0+code, AF
`region_name`	Region name	string	SEL	0%	2	#adm0+name, Afghanistan

Pending (58) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0, admin_0
`year`	Reference year	string	100%	-	-
`Admin0_Name`	Admin0_Name	string	0%	2	#adm0+name, Afghanistan
`Admin0_Code`	Admin0_Code	string	0%	2	#adm0+code, AF
`F_TL`	F_TL	string	0%	2	#population+f, 19844212
`M_TL`	M_TL	string	0%	2	#population+m, 20567657
`T_TL`	T_TL	string	0%	2	#population, 40411869
`F_00_04`	F_00_04	string	0%	2	#population+infants+age0_4+f, 3571135
`M_00_04`	M_00_04	string	0%	2	#population+infants+age0_4+m, 3707169
`T_00_04`	T_00_04	string	0%	2	#population+infants+age0_4, 7278304
`F_05_09`	F_05_09	string	0%	2	#population+children+age5_9+f, 3074578
`M_05_09`	M_05_09	string	0%	2	#population+children+age5_9+m, 3287301
`T_05_09`	T_05_09	string	0%	2	#population+children+age5_9, 6361879
`F_10_14`	F_10_14	string	0%	2	#population+children+age10_14+f, 2596038
`M_10_14`	M_10_14	string	0%	2	#population+children+age10_14+m, 2854676
`T_10_14`	T_10_14	string	0%	2	#population+children+age10_14, 5450714
`F_15_19`	F_15_19	string	0%	2	#population+adolescents+age15_19+f, 2207556
`M_15_19`	M_15_19	string	0%	2	#population+adolescents+age15_19+m, 2358275
`T_15_19`	T_15_19	string	0%	2	#population+adolescents+age15_19, 4565831
`F_20_24`	F_20_24	string	0%	2	#population+adults+age20_24+f, 1878525
`M_20_24`	M_20_24	string	0%	2	#population+adults+age20_24+m, 1748303
`T_20_24`	T_20_24	string	0%	2	#population+adults+age20_24, 3626828
`F_25_29`	F_25_29	string	0%	2	#population+adults+age25_29+f, 1515233
`M_25_29`	M_25_29	string	0%	2	#population+adults+age25_29+m, 1377017
`T_25_29`	T_25_29	string	0%	2	#population+adults+age25_29, 2892250
`F_30_34`	F_30_34	string	0%	2	#population+adults+age30_34+f, 1060459
`M_30_34`	M_30_34	string	0%	2	#population+adults+age30_34+m, 1068417
`T_30_34`	T_30_34	string	0%	2	#population+adults+age30_34, 2128876
`F_35_39`	F_35_39	string	0%	2	#population+adults+age35_39+f, 858455
`M_35_39`	M_35_39	string	0%	2	#population+adults+age35_39+m, 872978
+28 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

AFG Cod Ps - Afg Codps (admin_1) — 35 rows, 31 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	35	#adm1+code, AF17, AF31, AF09, AF21
`region_name`	Region name	string	SEL	0%	35	#adm1+name, Badakhshan, Badghis, Baghlan, Balkh
`T_TL`	Total population	string	SEL	0%	35	#population, 1679524.099, 834593.7943, 1963081.357, 2437336.592

Pending (28) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	string	100%	-	-
`admin0_name`	admin0_name	string	0%	2	#adm0+name, Afghanistan, Afghanistan, Afghanistan, Afghanistan
`admin0_code`	admin0_code	string	0%	2	#adm0+code, AF, AF, AF, AF
`province_code`	province_code	string	0%	35	#adm1+code, AF17, AF31, AF09, AF21
`province_name`	province_name	string	0%	35	#adm1+name, Badakhshan, Badghis, Baghlan, Balkh
`population_total`	population_total	string	0%	35	#population, 1679524.099, 834593.7943, 1963081.357, 2437336.592
`population_boys_u18`	population_boys_u18	string	0%	35	#population +m +children, 469133.1139, 222943.2594,...
`population_girls_u18`	population_girls_u18	string	0%	35	#population +f +children, 444745.1928, 224601.2502,...
`population_men_18plus`	population_men_18plus	string	0%	35	#population +m +adult, 393125.8532, 192847.6366,...
`population_women_18plus`	population_women_18plus	string	0%	35	#population +f +adult, 372519.9392, 194201.6481,...
`population_children_total`	population_children_total	string	0%	35	#population +children, 913878.3067, 447544.5096,...
`population_adults_total`	population_adults_total	string	0%	35	#population +adult, 696415.6338, 351024.6059,...
`population_elderly_total`	population_elderly_total	string	0%	35	#population +elderly, 69230.15863, 36024.67877,...
`population_with_disabilities`	population_with_disabilities	string	0%	35	#population +disability, 146832.6096, 73721.45054,...
`households_total`	households_total	string	0%	35	#population +hh, 239931, 119228, 280439, 348190
`households_female_headed`	households_female_headed	string	0%	35	#population +hh +f, 23996, 11924, 28048, 34820
`total_children_0_59_months`	total_children_0_59_months	string	0%	35	#population +age0-59 , 294273.6387, 153212.1881,...
`total_boys_0_59_months`	total_boys_0_59_months	string	0%	35	#population +ag0-59m +m, 151163.3245, 76359.4482,...
`total_girls_0_59_months`	total_girls_0_59_months	string	0%	35	#population +ag0-59m +f, 143110.3142, 76852.73994,...
`school_age_children (6–17)`	school_age_children (6–17)	string	0%	35	#population +age6-17 +children, 619604.668, 294332.3214,...
`primary_age_boys (6–12)`	primary_age_boys (6–12)	string	0%	35	#population +age6-12 +m, 205476.4963, 94834.54644,...
`primary_age girls (6–12)`	primary_age girls (6–12)	string	0%	35	#population +age6-12 +f, 194851.9675, 95581.94859,...
`secondary_age boys (13–17)`	secondary_age boys (13–17)	string	0%	35	#population +age13-17 +m, 112493.293, 51749.26475,...
`secondary_age girls (13–17)`	secondary_age girls (13–17)	string	0%	35	#population +age13-17 +f, 106782.9111, 52166.56165,...
`total_elderly_population_65plus`	total_elderly_population_65plus	string	0%	35	#population +age65plus +elderly, 69230.15863,...
`elderly_men_65plus`	elderly_men_65plus	string	0%	35	#population +age65plus +elderly +m, 35530.11217,...
`elderly_women_65plus`	elderly_women_65plus	string	0%	35	#population +age65plus +elderly +f, 33700.04646,...

2 Admin 2 — 1 table(s)

AFG Cod Ps - Afg Codps (admin_2) — 402 rows, 34 columns

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Field details — 34 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	100	#adm2+code, AF1703, AF1702, AF1706, AF1707
`region_name`	Region name	string	SEL	0%	99	#adm2+name, Arghanj Khwah, Argo, Baharak, Darayem
`T_TL`	Total population	string	SEL	0%	100	#population, 31736.63828, 171479.4889, 89337.81655, 82651.6894

Pending (31) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	Reference year	string	100%	-	-
`admin0_name`	admin0_name	string	0%	2	#adm0+name, Afghanistan, Afghanistan, Afghanistan, Afghanistan
`admin0_code`	admin0_code	string	0%	2	#adm0+code, AF, AF, AF, AF
`region`	region	string	0%	5	#region, NE, NE, NE, NE
`province_code`	province_code	string	0%	9	#adm1+code, AF17, AF17, AF17, AF17
`province_name`	province_name	string	0%	9	#adm1+name, Badakhshan, Badakhshan, Badakhshan, Badakhshan
`district_code`	district_code	string	0%	100	#adm2+code, AF1703, AF1702, AF1706, AF1707
`district_name`	district_name	string	0%	99	#adm2+name, Arghanj Khwah, Argo, Baharak, Darayem
`population_total`	population_total	string	0%	100	#population, 31736.63828, 171479.4889, 89337.81655, 82651.6894
`population_boys_u18`	population_boys_u18	string	0%	100	#population +m +children, 8851.348417, 47920.7961,...
`population_girls_u18`	population_girls_u18	string	0%	100	#population +f +children, 8391.167162, 45429.70124,...
`population_men_18plus`	population_men_18plus	string	0%	100	#population +m +adult, 7442.241677, 40115.61292,...
`population_women_18plus`	population_women_18plus	string	0%	100	#population +f +adult, 7051.881026, 38013.37862,...
`population_children_total`	population_children_total	string	0%	100	#population +children, 17242.51558, 93350.49734,...
`population_adults_total`	population_adults_total	string	0%	100	#population +adult, 13177.05221, 71075.26347,...
`population_elderly_total`	population_elderly_total	string	0%	100	#population +elderly, 1317.070489, 7053.728064,...
`population_with_disabilities`	population_with_disabilities	string	0%	100	#population +disability, 2777.606451, 14986.61614,...
`households_total`	households_total	string	0%	99	#population +hh, 4534, 24497, 12763, 11807
`households_female_headed`	households_female_headed	string	0%	96	#population +hh +f, 453, 2450, 1276, 1181
`total_children_0_59_months`	total_children_0_59_months	string	0%	100	#population +age0-59 , 5553.911699, 30056.49388,...
`total_boys_0_59_months`	total_boys_0_59_months	string	0%	100	#population +ag0-59m +m, 2853.123782, 15439.21743,...
`total_girls_0_59_months`	total_girls_0_59_months	string	0%	100	#population +ag0-59m +f, 2700.787918, 14617.27645,...
`school_age_children (6–17)`	school_age_children (6–17)	string	0%	100	#population +age6-17 +children, 11688.60388,...
`primary_age_boys (6–12)`	primary_age_boys (6–12)	string	0%	100	#population +age6-12 +m, 3871.86987, 20997.09519,...
`primary_age girls (6–12)`	primary_age girls (6–12)	string	0%	100	#population +age6-12 +f, 3671.929049, 19910.97157,...
`secondary_age boys (13–17)`	secondary_age boys (13–17)	string	0%	100	#population +age13-17 +m, 2126.354765, 11484.48348,...
`secondary_age girls (13–17)`	secondary_age girls (13–17)	string	0%	100	#population +age13-17 +f, 2018.450195, 10901.45322,...
`total_elderly_population_65plus`	total_elderly_population_65plus	string	0%	100	#population +age65plus +elderly, 1317.070489,...
`elderly_men_65plus`	elderly_men_65plus	string	0%	100	#population +age65plus +elderly +m, 675.9903954,...
+1 more pending field — download the CSV/Parquet to see them all.

AFG Global Data Lab AFG-GDL Development Indices

306 rows · 1 table(s) · 2023 Global Data Lab 0 1 2 3 9 SEL 2 ext ▶

ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.

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)

AFG GDL - Subnational Indices — 306 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	AFG, AFG, AFG, AFG, AFG
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	9	Total, Central (Kabul Wardak Kapisa Logar Parwan...
`human_development_index`	Human development index	float	SEL	0%	76	0.325, 0.405, 0.324, 0.346, 0.299
`health_index`	Health index	float	SEL	0%	76	0.386, 0.402, 0.363, 0.439, 0.363
`education_index`	Education index	float	SEL	0%	79	0.163, 0.281, 0.182, 0.182, 0.142
`income_index`	Income index	float	SEL	0%	79	0.543, 0.587, 0.514, 0.517, 0.522
`life_expectancy`	Life expectancy	float	SEL	0%	99	45.12, 46.11, 43.58, 48.53, 43.57
`mean_years_schooling`	Mean years schooling	float	SEL	0%	99	2.447, 5.013, 1.894, 2.96, 1.579

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	12	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

AFG World Bank Open Data AFG-WORLD_BANK Development Indicators

132 rows · 2 table(s) · 2024 World Bank Open Data 0 1 2 3 18 SEL 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 — 2 table(s)

AFG 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	AF, AF, AF, AF, AF
`population_count`	Population count	float	SEL	2%	65	9035043.0, 9214083.0, 9404406.0, 9604487.0, 9814318.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	32.799, 33.291, 33.757, 34.201, 34.673
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	64%	24	174.930991430166, 138.706821676113, 178.954088379235,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	92%	5	18.1599998474121, 31.4500007629394, 33.75,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	353.2, 347.6, 342.3, 336.8, 331.7
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	94%	4	33.7, 38.3, 54.5, 47.1

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

AFG 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	AF, AF, AF, AF, AF
`life_expectancy`	Life expectancy	float	SEL	3%	64	32.799, 33.291, 33.757, 34.201, 34.673
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	44%	37	80.9, 79.0, 77.0, 75.5, 74.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	353.2, 347.6, 342.3, 336.8, 331.7
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	39	2232.0, 1857.0, 1821.0, 1572.0, 1520.0
`fertility_rate`	Fertility rate	float	SEL	3%	61	7.282, 7.284, 7.292, 7.302, 7.304
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	50.516, 50.566, 50.666, 50.787, 50.852
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	31.672, 31.129, 30.63, 30.168, 29.672
`physicians_per_1000`	Physicians per 1000	float	SEL	59%	25	0.035, 0.063, 0.065, 0.077, 0.183
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	33	4.0, 3.0, 5.0, 5.0, 16.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	67%	22	9.44339085, 8.94125843, 9.80847359, 9.94828892, 10.62276554

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

AFG LandScan Global (ORNL) AFG-LANDSCAN Modeled Population

109 rows · 3 table(s) · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 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)

AFG 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	AFG
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Afghanistan
`admin_code`	Admin code	string	SEL	0%	1	77858471B85949265405819
`area_sqkm`	Area sqkm	float	SEL	0%	1	641875.4047
`pop_2024`	Population count	integer	SEL	0%	1	40122549
`pop_density_2024`	Population density	float	SEL	0%	1	62.51

1 Admin 1 — 1 table(s)

AFG LandScan - Population Admin1 (admin_1) — 34 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	AFG, AFG, AFG, AFG, AFG
`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%	34	Kabul, Herat, Kandahar, Ghanzi, Helmand
`admin_code`	Admin code	string	SEL	0%	34	12653393B60423242182357, 12653393B41529784753429,...
`area_sqkm`	Area sqkm	float	SEL	0%	34	4444.8387, 53831.692, 54005.1592, 22848.0222, 59942.8756
`pop_2024`	Population count	integer	SEL	0%	34	6488019, 3174894, 3067206, 2345297, 2286414
`pop_density_2024`	Population density	float	SEL	0%	34	1459.67, 58.98, 56.79, 102.65, 38.14

Locality Locality — 1 table(s)

AFG LandScan - Cities (locality) — 74 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	AFG, AFG, AFG, AFG, AFG
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	74	Kabul, Kandahar, Herat, Mazar i sharif, Jalalabad
`admin_code`	Admin code	integer	SEL	0%	74	4865, 3909, 761, 3259, 5287
`area_sqkm`	Area sqkm	float	SEL	0%	73	370.1067, 91.7213, 87.7858, 60.8831, 121.7041
`pop_2024`	Population count	integer	SEL	0%	74	4574137, 849994, 717642, 705255, 570930
`pop_density_2024`	Population density	float	SEL	0%	74	12358.97, 9267.14, 8174.92, 11583.76, 4691.13

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%	74	6254679, 872755, 1489156, 737866, 618391
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	73	0.731, 0.974, 0.482, 0.956, 0.923

AFG UNHCR Refugee Data Finder AFG-UNHCR Migration

83 rows · 2 table(s) · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 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)

AFG UNHCR - Hosted Populations — 36 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%	-	-

AFG UNHCR - Origin Populations — 47 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%	-	-

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

74 rows · 1 table(s) · 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)

AFG GHS-UCDB - Cities (locality) — 74 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%	74	Kabul, Herat, Kandahar, Mazar i sharif, Jalalabad
`country_code`	Country code	string	SEL	0%	1	AFG, AFG, AFG, AFG, AFG
`population`	Population count	integer	SEL	0%	74	6254679, 1489156, 872755, 737866, 618391

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	74	4865, 761, 3909, 3259, 5287
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Afghanistan, Afghanistan, Afghanistan, Afghanistan, Afghanistan
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

AFG USAID DHS Program AFG-DHS Health Surveys

68 rows · 2 table(s) · 2015 USAID DHS Program 0 1 2 3 5 SEL 2 CCL 10 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 — 2 table(s)

AFG DHS - Ethnicity Indicators — 34 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	100%	-	-
`women_who_are_literate`	Women who are literate	float	CCL	0%	33	19.4, 4.2, 13.8, 17.7, 14.2
`men_who_are_literate`	Men who are literate	float	CCL	0%	34	44.0, 28.3, 58.8, 44.9, 58.2

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Afghanistan, Afghanistan, Afghanistan, Afghanistan, Afghanistan
`survey_year`	survey_year	integer	0%	1	2015, 2015, 2015, 2015, 2015
`region`	region	string	0%	34	Badakhshan, Badghis, Baghlan, Balkh, Bamyan
`survey_id`	survey_id	string	0%	1	AF2015DHS, AF2015DHS, AF2015DHS, AF2015DHS, AF2015DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

AFG DHS - Health Indicators — 34 rows, 9 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	100%	-	-
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	26	68.0, 67.0, 63.0, 53.0, 65.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	28	107.0, 77.0, 74.0, 65.0, 76.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	33	71.7, 51.2, 43.0, 38.9, 62.4

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Afghanistan, Afghanistan, Afghanistan, Afghanistan, Afghanistan
`survey_year`	survey_year	integer	0%	1	2015, 2015, 2015, 2015, 2015
`region`	region	string	0%	34	Badakhshan, Badghis, Baghlan, Balkh, Bamyan
`survey_id`	survey_id	string	0%	1	AF2015DHS, AF2015DHS, AF2015DHS, AF2015DHS, AF2015DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

AFG Glottolog Language Catalog AFG-GLOTTOLOG Language

54 rows · 1 table(s) · 2024 Glottolog Language Catalog 0 1 2 3 1 SEL 12 CCL 3 ext ▶

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

0 Admin 0 — 1 table(s)

AFG Glottolog - Languages — 54 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%	54	adur1234, afgh1239, afgh1240, aima1241, ashk1246
`name`	Name	string	CCL	0%	54	Adurgari, Afghan Sign Language, Afghanistan Gorbat, Aimaq, Ashkun
`iso639_3`	Iso639 3	string	CCL	6%	51	afg, aiq, ask, xbc, brh
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	0%	8	spee1234, sign1238, spee1234, indo1319, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	36	indo1335, deaf1237, pers1247, east2745, ashk1249
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	22	['AF'], ['AF'], ['AF'], ['AF', 'IR'], ['AF']
`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%	12	0, 0, 0, 10, 2

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	4%	52	33.79, 34.434167, 35.283, 35.10699, 36.81
`longitude`	longitude	float	4%	52	69.32, 70.447778, 59.1756, 70.542035, 66.85
`classification`	classification	string	0%	1	[], [], [], [], []

AFG LandScan Mosaic (ORNL) AFG-LANDSCAN_MOSAIC Modeled Population

35 rows · 2 table(s) · 2025 LandScan Mosaic (ORNL) 0 1 2 3 14 SEL 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)

AFG Landscan Mosaic - Population Admin0 (admin_0) — 1 rows, 9 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	AFG
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Afghanistan
`admin_code`	Admin code	string	SEL	0%	1	77858471B85949265405819
`area_sqkm`	Area sqkm	float	SEL	0%	1	641875.4047
`population`	Population count	float	SEL	0%	1	40117432.37
`pop_density`	Population density	float	SEL	0%	1	62.5

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

Field Name	Label	Type	Nulls	Unique	Samples
`confidence`	confidence	float	0%	1	0.5776
`confidence_pop_weighted`	confidence_pop_weighted	float	0%	1	0.5776

1 Admin 1 — 1 table(s)

AFG Landscan Mosaic - Population Admin1 (admin_1) — 34 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	AFG, AFG, AFG, AFG, AFG
`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%	34	Kabul, Herat, Kandahar, Ghanzi, Helmand
`admin_code`	Admin code	string	SEL	0%	34	12653393B60423242182357, 12653393B41529784753429,...
`area_sqkm`	Area sqkm	float	SEL	0%	34	4444.8387, 53831.692, 54005.1592, 22848.0222, 59942.8756
`population`	Population count	float	SEL	0%	34	6469460.58, 3165414.54, 2772216.73, 2374567.98, 2290240.55
`pop_density`	Population density	float	SEL	0%	34	1455.5, 58.8, 51.33, 103.93, 38.21

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

Field Name	Label	Type	Nulls	Unique	Samples
`confidence`	confidence	float	0%	33	0.4551, 0.5718, 0.536, 0.4826, 0.5784
`confidence_pop_weighted`	confidence_pop_weighted	float	0%	33	0.4551, 0.5718, 0.536, 0.4826, 0.5784

AFG OpenFactBook AFG-OPENFACTBOOK Country Profile

16 rows · 16 table(s) · 2024 OpenFactBook 0 1 2 3 98 SEL 2 CCL 529 ext ▶

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0 Admin 0 — 16 table(s)

AFG OpenFactBook - Communications — 1 rows, 21 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	2023.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	60.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.af
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	18.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	2023.0
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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	182,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	182000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	25.6 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	25.6
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	60 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	under the Taliban, independent media outlets have...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	2023.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	18% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	33,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	33000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	(2023 est.) less than 1
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

AFG OpenFactBook - Economy — 1 rows, 140 columns

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Field details — 145 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	17.152
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	54.5
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (140) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	low-income South Asian economy; economy stable after...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$82.238 billion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	82.238
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$80.416 billion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	80.416
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_text`	Real gdp purchasing power parity 2021 (text)	string	0%	1	$85.768 billion (2021 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2021_numeric`	Real gdp purchasing power parity 2021 (numeric)	float	0%	1	85.768
`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	2.3% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	2.3
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	-6.2% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	-6.2
`real_gdp_growth_rate_real_gdp_growth_rate_2021_text`	Real gdp growth rate 2021 (text)	string	0%	1	-20.7% (2021 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2021_numeric`	Real gdp growth rate 2021 (numeric)	float	0%	1	-20.7
`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	$2,000 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	2000.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$2,000 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	2000.0
`real_gdp_per_capita_real_gdp_per_capita_2021_text`	Real gdp per capita 2021 (text)	string	0%	1	$2,100 (2021 est.)
`real_gdp_per_capita_real_gdp_per_capita_2021_numeric`	Real gdp per capita 2021 (numeric)	float	0%	1	2100.0
`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	$17.152 billion (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	-6.6% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	-6.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	-4.6% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	-4.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	13.7% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	13.7
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
+110 more extension fields — download the CSV/Parquet to see them all.

AFG OpenFactBook - Energy — 1 rows, 45 columns

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Field details — 45 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	85.3
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	85.3% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	95.9%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	95.9
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	81.7%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	81.7
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	627,000 kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	627000.0
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	6.468 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	6.468
`electricity_imports_text`	electricity_imports_text	string	0%	1	6.221 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	6.221
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	725.652 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	725.652
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	13.3% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	13.3
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	9.7% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	9.7
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	77% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	77.0
`coal_production_text`	coal_production_text	string	0%	1	767,000 metric tons (2023 est.)
`coal_production_numeric`	coal_production_numeric	float	0%	1	767000.0
`coal_consumption_text`	coal_consumption_text	string	0%	1	503,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	503000.0
`coal_exports_text`	coal_exports_text	string	0%	1	265,000 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	265000.0
`coal_imports_text`	coal_imports_text	string	0%	1	2,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	2000.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	66 million metric tons (2023 est.)
`coal_proven_reserves_numeric`	coal_proven_reserves_numeric	float	0%	1	66.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	58,000 bbl/day (2023 est.)
+11 more extension fields — download the CSV/Parquet to see them all.

AFG OpenFactBook - Environment — 1 rows, 42 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	58.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	1.9
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	26.9
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.34
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	5.629
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	limited natural freshwater resources; inadequate potable...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Biodiversity, Climate Change, Climate Change-Kyoto...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Law of the Sea, Marine Life Conservation
`climate_text`	climate_text	string	0%	1	arid to semiarid; cold winters and hot summers
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	58.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 12% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	12.0
`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: 46% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	46.0
`land_use_forest_text`	land_use_forest_text	string	0%	1	1.9% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	39.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	39.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	26.9% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.34% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	7.757 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	7.757
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	930,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	930000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	6.827 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	6.827
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	84 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	84.0
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	5.629 million tons (2024 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_text`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_text	string	0%	1	11.1% (2022 est.)
`waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric`	waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric	float	0%	1	11.1
`total_water_withdrawal_municipal_text`	total_water_withdrawal_municipal_text	string	0%	1	203.4 million cubic meters (2022 est.)
`total_water_withdrawal_municipal_numeric`	total_water_withdrawal_municipal_numeric	float	0%	1	203.4
`total_water_withdrawal_industrial_text`	total_water_withdrawal_industrial_text	string	0%	1	169.5 million cubic meters (2022 est.)
+7 more extension fields — download the CSV/Parquet to see them all.

AFG OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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	Afghan(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Afghan
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	current, reliable statistical data on ethnicity in...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	2004.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

AFG OpenFactBook - Geography — 1 rows, 53 columns

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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	652230.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	652230.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	0.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	5987.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	0.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	7492.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	258.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	58.4
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	1.9
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	24930.0
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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	Southern Asia, north and west of Pakistan, east of Iran
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	33 00 N, 65 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	33.0
`map_references_text`	map_references_text	string	0%	1	Asia
`area_total_text`	area_total_text	string	0%	1	652,230 sq km
`area_land_text`	area_land_text	string	0%	1	652,230 sq km
`area_water_text`	area_water_text	string	0%	1	0 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	almost six times the size of Virginia; slightly smaller...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	5,987 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	China 91 km; Iran 921 km; Pakistan 2,670 km; Tajikistan...
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	91.0
`coastline_text`	coastline_text	string	0%	1	0 km (landlocked)
`maritime_claims_text`	maritime_claims_text	string	0%	1	none (landlocked)
`climate_text`	climate_text	string	0%	1	arid to semiarid; cold winters and hot summers
`terrain_text`	terrain_text	string	0%	1	mostly rugged mountains; plains in north and southwest
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Noshak 7,492 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Amu Darya 258 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	1,884 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	1884.0
`natural_resources_text`	natural_resources_text	string	0%	1	natural gas, petroleum, coal, copper, chromite, talc,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	58.4% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 12% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	12.0
`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: 46% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	46.0
`land_use_forest_text`	land_use_forest_text	string	0%	1	1.9% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	39.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	39.7
+14 more extension fields — download the CSV/Parquet to see them all.

AFG OpenFactBook - Government — 1 rows, 53 columns

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Field details — 70 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	AFG
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (68) — 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	Islamic Republic of Afghanistan (prior to 15 August...
`country_name_conventional_long_form_numeric`	country_name_conventional_long_form_numeric	float	0%	1	15.0
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Afghanistan
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Jamhuri-ye Islami-ye Afghanistan (prior to 15 August...
`country_name_local_long_form_numeric`	country_name_local_long_form_numeric	float	0%	1	15.0
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Afghanistan
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name "Afghan" originally referred to the Pashtun...
`government_type_text`	government_type_text	string	0%	1	theocratic; the United States does not recognize the...
`capital_name_text`	capital_name_text	string	0%	1	Kabul
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	34 31 N, 69 11 E
`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+4.5 (9.5 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	4.5
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	does not observe daylight savings time
`capital_etymology_text`	capital_etymology_text	string	0%	1	named for the Kabul River, but the river's name is of...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	34 provinces (welayat, singular - welayat); Badakhshan,...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	34.0
`legal_system_text`	legal_system_text	string	0%	1	the Taliban is implementing its own interpretation of...
`legal_system_numeric`	legal_system_numeric	float	0%	1	2021.0
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest ratified in 2004, but not...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	2004.0
`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 have been born in - and...
`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
`executive_branch_chief_of_state_text`	executive_branch_chief_of_state_text	string	0%	1	Taliban Leader HAYBATULLAH Akhundzada (since 15 August 2021)
+38 more extension fields — download the CSV/Parquet to see them all.

AFG 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	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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	Ahmad Shah DURRANI unified the Pashtun tribes and...
`background_numeric`	background_numeric	float	0%	1	1747.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

AFG OpenFactBook - Languages — 1 rows, 8 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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
`languages_languages_text`	Languages (text)	string	0%	1	Afghan Persian or Dari (official, lingua franca) 77%,...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	77.0
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	کتاب حقایق جهان، مرجعی ضروری برای اطلاعات اولیە (Dari)...
`languages_note`	languages_note	string	0%	1	note 1: percentages sum to more than 100% because many...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

AFG OpenFactBook - Migration — 1 rows, 10 columns

Loading data…

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	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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	21,236 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	21236.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	5,457,183 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	5457183.0
`trafficking_in_persons_tier_rating_text`	trafficking_in_persons_tier_rating_text	string	0%	1	Tier 3 — Afghanistan does not fully meet the minimum...
`trafficking_in_persons_tier_rating_numeric`	trafficking_in_persons_tier_rating_numeric	float	0%	1	3.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

AFG OpenFactBook - Military And Security — 1 rows, 20 columns

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Field details — 25 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	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (22) — 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	the Taliban claims authority over a Ministry of Defense...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2019_text`	Military expenditures 2019 (text)	string	0%	1	3.3% of GDP (2019)
`military_expenditures_military_expenditures_2019_numeric`	Military expenditures 2019 (numeric)	float	0%	1	3.3
`military_expenditures_military_expenditures_2018_text`	Military expenditures 2018 (text)	string	0%	1	3.2% of GDP (2018)
`military_expenditures_military_expenditures_2018_numeric`	Military expenditures 2018 (numeric)	float	0%	1	3.2
`military_expenditures_military_expenditures_2017_text`	Military expenditures 2017 (text)	string	0%	1	3.3% of GDP (2017)
`military_expenditures_military_expenditures_2017_numeric`	Military expenditures 2017 (numeric)	float	0%	1	3.3
`military_expenditures_military_expenditures_2016_text`	Military expenditures 2016 (text)	string	0%	1	3.1% of GDP (2016)
`military_expenditures_military_expenditures_2016_numeric`	Military expenditures 2016 (numeric)	float	0%	1	3.1
`military_expenditures_military_expenditures_2015_text`	Military expenditures 2015 (text)	string	0%	1	2.9% of GDP (2015)
`military_expenditures_military_expenditures_2015_numeric`	Military expenditures 2015 (numeric)	float	0%	1	2.9
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	the Taliban claims to have 190,000 under the Ministry of...
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	190000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the Taliban military and security forces are equipped...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2021.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	service is voluntary; there is no conscription (2023)
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	2023.0
`military_note_text`	military_note_text	string	0%	1	the Taliban’s key security priorities are border and...
`military_note_numeric`	military_note_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

AFG OpenFactBook - People And Society — 1 rows, 140 columns

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Field details — 152 fields (type, nulls, unique, samples)

Standards-Aligned Fields (29)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	49474805.0
`population_male_numeric`	Population male	float	SEL	0%	1	25051967.0
`population_female_numeric`	Population female	float	SEL	0%	1	24422838.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	39.6
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	57.5
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	2.9
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	82.2
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	77.0
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	5.2
`median_age_total_numeric`	Median age	float	SEL	0%	1	18.4
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	2.86
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	35.99
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.79
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	-1.62
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	26.9
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	3.34
`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	1.02
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	521.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	42.0
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	54.4
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	4.89
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	2.39
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	0.32
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	0.4
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	37.3
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	49,474,805 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	25,051,967
`population_female_text`	population_female_text	string	0%	1	24,422,838
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	39.6% (male 8,062,407/female 7,818,897)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	57.5% (male 11,702,734/female 11,372,249)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	2.9% (2024 est.) (male 535,925/female 629,340)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	82.2 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	77 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	5.2 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	19 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	19.0
`median_age_total_text`	median_age_total_text	string	0%	1	18.4 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	20 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	20.0
`median_age_female_text`	median_age_female_text	string	0%	1	20.1 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	20.1
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	2.86% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	35.99 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.79 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	-1.62 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	populations tend to cluster in the foothills and...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	26.9% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	3.34% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	4.589 million KABUL (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	4.589
`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	1.03 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.03
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.03 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.03
+93 more extension fields — download the CSV/Parquet to see them all.

AFG OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 26 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	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	99.7
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	0.15

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	Muslim 99.7% (Sunni 84.7 - 89.7%, Shia 10 - 15%), other...
`religions_numeric`	religions_numeric	float	0%	1	99.7
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

Pending (17) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_muslim__sunni_pct_synth`	Sunni	numeric	0%	-	87.2
`composition_religion_muslim__shia_pct_synth`	Shia	numeric	0%	-	12.5
`composition_ethnicity_current_pct_synth`	current	numeric	0%	-	-
`composition_ethnicity_reliable_statistical_data_on_ethnicity_in_afghanistan_are_not_available_afghanistan_s_2004_constitution_cited_pashtun_pct_synth`	reliable statistical data on ethnicity in Afghanistan are not available; Afghanistan's 2004 Constitution cited Pashtun	numeric	0%	-	-
`composition_ethnicity_tajik_pct_synth`	Tajik	numeric	0%	-	-
`composition_ethnicity_hazara_pct_synth`	Hazara	numeric	0%	-	-
`composition_ethnicity_uzbek_pct_synth`	Uzbek	numeric	0%	-	-
`composition_ethnicity_turkman_pct_synth`	Turkman	numeric	0%	-	-
`composition_ethnicity_baluch_pct_synth`	Baluch	numeric	0%	-	-
`composition_ethnicity_pashaie_pct_synth`	Pashaie	numeric	0%	-	-
`composition_ethnicity_nuristani_pct_synth`	Nuristani	numeric	0%	-	-
`composition_ethnicity_aymaq_pct_synth`	Aymaq	numeric	0%	-	-
`composition_ethnicity_arab_pct_synth`	Arab	numeric	0%	-	-
`composition_ethnicity_qirghiz_pct_synth`	Qirghiz	numeric	0%	-	-
`composition_ethnicity_qizilbash_pct_synth`	Qizilbash	numeric	0%	-	-
`composition_ethnicity_gujur_pct_synth`	Gujur	numeric	0%	-	-
`composition_ethnicity_brahwui_ethnicities_afghanistan_has_dozens_of_other_small_ethnic_groups_pct_synth`	Brahwui ethnicities; Afghanistan has dozens of other small ethnic groups	numeric	0%	-	-

AFG 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	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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	Haqqani Network; Harakat ul-Mujahidin; Harakat...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

AFG 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	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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 illicit drug-producing and/or drug-transit...
`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	south-asia/af.json

AFG OpenFactBook - Transportation — 1 rows, 10 columns

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Field details — 10 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	YA
`airports_numeric`	Airports count	float	SEL	0%	1	68.0
`country_code`	Country code	string	SEL	0%	1	AFG
`country_name`	Country name	string	SEL	0%	1	Afghanistan
`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
`airports_text`	airports_text	string	0%	1	68 (2025)
`heliports_text`	heliports_text	string	0%	1	8 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	8.0
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-asia/af.json

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

12 rows · 2 table(s) · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

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0 Admin 0 — 2 table(s)

AFG Nga Gns - Language — 11 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	AFG, AFG, AFG, AFG, AFG
`gns_language_code`	gns_language_code	string	CCL	0%	11	rus, fas, pus, eng, uzb
`gns_language_name`	gns_language_name	string	CCL	0%	11	Russian, Persian, Pushto, English, Uzbek
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	10	38012, 16438, 246, 111, 16
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	10	69.3017, 29.969, 0.4485, 0.2024, 0.0292
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	8	3500, 14737, 194, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	4	Cyrl, Arab, Arab, ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	4	Cyrillic, Arabic, Arabic, ,
`gns_script_count`	gns_script_count	integer	CCL	0%	2	1, 1, 1, 0, 0

AFG 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	AFG
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Afghanistan
`gns_language_count`	gns_language_count	integer	CCL	0%	1	11
`gns_script_count`	gns_script_count	integer	CCL	0%	1	3
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9974
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	92118

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	343440
`gns_feature_count`	gns_feature_count	integer	0%	1	75102
`gns_endonym_count`	gns_endonym_count	integer	0%	1	343431
`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_hypsographic`	gns_name_count_hypsographic	integer	0%	1	93236
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	20059
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	149661
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	32516
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	78725
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	17037
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	6832
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	1783
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	13388
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	3118
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	1138
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	434
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	173
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	49
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	287
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	106

AFG Ethnic Power Relations Dataset AFG-EPR Political Ethnicity

7 rows · 1 table(s) · 2021 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)

AFG EPR - Groups — 7 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	AFG, AFG, AFG, AFG, AFG
`ethnic_group_name`	Ethnic group name	string	CCL	0%	7	Pashtuns, Tajiks, Hazara, Uzbeks, Turkmen
`ethnic_power_status`	Ethnic power status	string	CCL	0%	4	SENIOR PARTNER, SENIOR PARTNER, JUNIOR PARTNER, JUNIOR...
`ethnic_population_share`	Ethnic population share	float	CCL	0%	6	0.41, 0.25, 0.11, 0.08, 0.015
`ethnic_group_id`	Ethnic group id	float	CCL	0%	7	70012000, 70014000, 70007000, 70016000, 70015000
`regional_autonomy`	Regional autonomy	string	CCL	0%	3	true, true, true, true, 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, 2021, 2021, 2021
`group_relevance`	group_relevance	string	0%	1	, , , ,

AFG D-PLACE AFG-DPLACE Ethnographic Societies

4 rows · 1 table(s) · 2024 D-PLACE 0 1 2 3 1 SEL 10 CCL 7 ext ▶

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0 Admin 0 — 1 table(s)

AFG D-PLACE - Dplace Ea Societies — 4 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	AFG, AFG, AFG, AFG
`society_id`	Society id	string	CCL	0%	4	Ea11, Ea3, Ea5, Ea7
`society_name`	Society name	string	CCL	0%	4	Ghilzai, Hazara, Nuristani, Moghol
`language_glottocode`	Language glottocode	string	CCL	0%	4	ghil1238, haza1239, kamv1242, mogh1245
`language_name`	Language name	string	CCL	0%	1	, , ,
`kinship_system`	Kinship system	string	CCL	0%	4	EA001:0; EA002:0; EA003:0; EA004:3; EA005:7, EA001:0;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	3	EA006:1; EA007:7; EA008:7; EA009:2; EA010:8, EA006:1;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	4	EA028:6; EA029:6; EA030:7; EA031:NA; EA032:3, EA028:6;...
`political_complexity`	Political complexity	string	CCL	0%	4	EA033:4; EA034:4; EA035:NA, EA033:2; EA034:4; EA035:NA,...
`religion_importance`	Religion importance	string	CCL	0%	4	EA034:4; EA112:NA, EA034:4; EA112:4, EA034:NA; EA112:7,...
`residence_pattern`	Residence pattern	string	CCL	0%	1	EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; 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	Afghanistan, Afghanistan, Afghanistan, Afghanistan
`dataset`	dataset	string	0%	1	EA, EA, EA, EA
`region`	region	string	0%	1	, , ,
`latitude`	latitude	float	0%	4	33.0, 35.0, 36.0, 34.0
`longitude`	longitude	float	0%	4	68.0, 66.0, 71.0, 63.0
`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

AFG Global Organized Crime Index AFG-OCINDEX Crime Index

1 rows · 1 table(s) · 2025 GI-TOC / ENACT 0 1 2 3 13 CCL 22 ext ▶

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0 Admin 0 — 1 table(s)

AFG Organized Crime Scores 2025 — 1 rows, 35 columns

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Field details — 139 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`oc_anti_money_laundering`	oc_anti_money_laundering	numeric	CCL	0%	1	-
`oc_arms_trafficking`	oc_arms_trafficking	numeric	CCL	0%	1	-
`oc_criminal_actors`	oc_criminal_actors	numeric	CCL	0%	1	-
`oc_criminal_markets`	oc_criminal_markets	numeric	CCL	0%	1	-
`oc_criminality`	oc_criminality	numeric	CCL	0%	1	-
`oc_cyber_dependent_crimes`	oc_cyber_dependent_crimes	numeric	CCL	0%	1	-
`oc_financial_crimes`	oc_financial_crimes	numeric	CCL	0%	1	-
`oc_human_smuggling`	oc_human_smuggling	numeric	CCL	0%	1	-
`oc_human_trafficking`	oc_human_trafficking	numeric	CCL	0%	1	-
`oc_judicial_system_and_detention`	oc_judicial_system_and_detention	numeric	CCL	0%	1	-
`oc_law_enforcement`	oc_law_enforcement	numeric	CCL	0%	1	-
`oc_political_leadership_and_governance`	oc_political_leadership_and_governance	numeric	CCL	0%	1	-
`oc_resilience`	oc_resilience	numeric	CCL	0%	1	-

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

Field Name	Label	Type	Nulls	Unique	Samples
`oc_cannabis_trade`	oc_cannabis_trade	numeric	0%	1	-
`oc_cocaine_trade`	oc_cocaine_trade	numeric	0%	1	-
`oc_criminal_networks`	oc_criminal_networks	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_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_illicit_trade_in_excisable_goods`	oc_illicit_trade_in_excisable_goods	numeric	0%	1	-
`oc_international_cooperation`	oc_international_cooperation	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_prevention`	oc_prevention	numeric	0%	1	-
`oc_private_sector_actors`	oc_private_sector_actors	numeric	0%	1	-
`oc_state_embedded_actors`	oc_state_embedded_actors	numeric	0%	1	-
`oc_synthetic_drug_trade`	oc_synthetic_drug_trade	numeric	0%	1	-
`oc_territorial_integrity`	oc_territorial_integrity	numeric	0%	1	-
`oc_trade_in_counterfeit_goods`	oc_trade_in_counterfeit_goods	numeric	0%	1	-

Pending (104) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`iso3`	iso3	string	0%	1	AFG
`source`	source	string	0%	1	Global Organized Crime Index
`source_url`	source_url	string	0%	1	https://ocindex.net/
`year`	year	integer	0%	1	2025
`license`	license	string	0%	1	Creative Commons (GI-TOC / ENACT)
`oc_anti_money_laundering_rank`	oc_anti_money_laundering_rank	integer	0%	1	192
`oc_anti_money_laundering_2023`	oc_anti_money_laundering_2023	integer	0%	1	1
`oc_anti_money_laundering_2021`	oc_anti_money_laundering_2021	integer	0%	1	3
`oc_arms_trafficking_rank`	oc_arms_trafficking_rank	integer	0%	1	6
`oc_arms_trafficking_2023`	oc_arms_trafficking_2023	integer	0%	1	9
`oc_arms_trafficking_2021`	oc_arms_trafficking_2021	float	0%	1	8.5
`oc_cannabis_trade_rank`	oc_cannabis_trade_rank	integer	0%	1	13
`oc_cannabis_trade_2023`	oc_cannabis_trade_2023	float	0%	1	7.5
`oc_cannabis_trade_2021`	oc_cannabis_trade_2021	integer	0%	1	7
`oc_cocaine_trade_rank`	oc_cocaine_trade_rank	integer	0%	1	191
`oc_cocaine_trade_2023`	oc_cocaine_trade_2023	integer	0%	1	1
`oc_cocaine_trade_2021`	oc_cocaine_trade_2021	integer	0%	1	1
`oc_criminal_actors_rank`	oc_criminal_actors_rank	integer	0%	1	24
`oc_criminal_actors_2023`	oc_criminal_actors_2023	float	0%	1	7.2
`oc_criminal_actors_2021`	oc_criminal_actors_2021	float	0%	1	7.25
`oc_criminal_markets_rank`	oc_criminal_markets_rank	integer	0%	1	11
`oc_criminal_markets_2023`	oc_criminal_markets_2023	integer	0%	1	7
`oc_criminal_markets_2021`	oc_criminal_markets_2021	float	0%	1	6.9
`oc_criminal_networks_rank`	oc_criminal_networks_rank	integer	0%	1	7
`oc_criminal_networks_2023`	oc_criminal_networks_2023	integer	0%	1	8
`oc_criminal_networks_2021`	oc_criminal_networks_2021	float	0%	1	8.5
`oc_criminality_rank`	oc_criminality_rank	integer	0%	1	17
`oc_criminality_2023`	oc_criminality_2023	float	0%	1	7.1
`oc_criminality_2021`	oc_criminality_2021	float	0%	1	7.08
`oc_cyber_dependent_crimes_rank`	oc_cyber_dependent_crimes_rank	integer	0%	1	111
+74 more pending fields — download the CSV/Parquet to see them all.

AFG World Values Survey AFG-WVS Attitudes Values

1 rows · 1 table(s) · 2022 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)

AFG 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	AFG

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

Afghanistan

Build a download

Language	Place names	Share	Script
Russian (rus)	38,012	69.3%	Cyrillic
Persian (fas)	16,438	30.0%	Arabic
Pushto (pus)	246	0.4%	Arabic
English (eng)	111	0.2%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Global Data Lab	academic	api
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	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
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
World Values Survey	academic	metadata_catalog
World Bank Open Data	international_organization	api
Ethnic Power Relations Dataset	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