Afghanistan

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

439 rows · 3 table(s) 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

Loading data…

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

Loading data…

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

Loading data…

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) Global Data Lab 0 1 2 3 9 SEL 2 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)

AFG GDL - Subnational Indices — 306 rows, 11 columns

Loading data…

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 UNHCR Refugee Data Finder AFG-UNHCR Migration

150 rows · 2 table(s) 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 — 75 rows, 24 columns

Loading data…

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 — 75 rows, 24 columns

Loading data…

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 World Bank Open Data AFG-WORLD_BANK Development Indicators

132 rows · 2 table(s) 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

Loading data…

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

Loading data…

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) 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

Loading data…

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

Loading data…

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

Loading data…

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

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

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

Locality Locality — 1 table(s)

AFG GHS-UCDB - Cities (locality) — 74 rows, 10 columns

Loading data…

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) 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

Loading data…

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

Loading data…

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) 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

Loading data…

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) 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

Loading data…

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

Loading data…

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) OpenFactBook 0 1 2 3 98 SEL 2 CCL 529 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)

AFG 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	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, 145 columns

Loading data…

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

Loading data…

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, 45 columns

Loading data…

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, 9 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 57 columns

Loading data…

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`area_total_numeric`	Area sqkm	float	SEL	0%	1	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, 70 columns

Loading data…

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, 7 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 9 columns

Loading data…

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	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, 11 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, 25 columns

Loading data…

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, 152 columns

Loading data…

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, 26 columns

Loading data…

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

Loading data…

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, 7 columns

Loading data…

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

Standards-Aligned Fields (3)

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

Loading data…

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) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

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

0 Admin 0 — 2 table(s)

AFG Nga Gns - Language — 11 rows, 9 columns

Loading data…

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

Loading data…

Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	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) 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

Loading data…

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) 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)

AFG D-PLACE - Dplace Ea Societies — 4 rows, 18 columns

Loading data…

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) 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)

AFG Organized Crime Scores 2025 — 1 rows, 35 columns

Loading data…

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.

AFG World Values Survey AFG-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)

AFG WVS - Country Aggregates — 1 rows, 26 columns

Loading data…

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