Pakistan

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

570 rows · 4 tables · 2016 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 8 SEL ▶

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0 Admin 0 — 1 table(s)

PAK COD PS - PAK Codps (admin_0) — 1 rows, 10 columns

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Field details — 10 fields (type, nulls, unique, samples)

Pending (10) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`pcode`	pcode	string	0%	1	PK
`region_name`	region_name	string	0%	1	Pakistan
`admin_level`	admin_level	string	0%	1	admin_0
`year`	year	string	100%	-	-
`T_TL`	T_TL	integer	0%	1	207774520
`U_TO`	U_TO	integer	0%	1	75584989
`R_TL`	R_TL	integer	0%	1	132189531
`M_TL`	M_TL	integer	0%	1	106449322
`F_TL`	F_TL	integer	0%	1	101314780
`TG_TL`	TG_TL	integer	0%	1	10418

1 Admin 1 — 1 table(s)

PAK COD PS - PAK Codps (admin_1) — 5 rows, 10 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	5	PK7, PK5, PK2, PK6, PK8
`region_name`	Admin name	string	SEL	0%	5	Balochistan, Federal Capital Territory, Khyber...
`T_TL`	Population count	integer	SEL	0%	5	12344408, 2006572, 35525047, 110012442, 47886051
`M_TL`	Population male	integer	SEL	0%	5	6483653, 1055712, 18023937, 55958974, 24927046
`F_TL`	Population female	integer	SEL	0%	5	5860646, 950727, 17500170, 54046759, 22956478

Pending (6) — 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`	year	string	100%	-	-
`admin1Name_en`	admin1Name_en	string	0%	5	Balochistan, Federal Capital Territory, Khyber...
`U_TL`	U_TL	integer	0%	5	3400876, 1014825, 5871532, 40387298, 24910458
`R_TL`	R_TL	integer	0%	5	8943532, 991747, 29653515, 69625144, 22975593
`TG_TL`	TG_TL	integer	0%	5	109, 133, 940, 6709, 2527

2 Admin 2 — 1 table(s)

PAK COD PS - PAK Codps (admin_2) — 131 rows, 10 columns

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

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`pcode`	pcode	string	0%	100	PK201, PK601, PK701, PK801, PK602
`region_name`	region_name	string	0%	100	Abbottabad, Attock, Awaran, Badin, Bahawalnagar
`admin_level`	admin_level	string	0%	1	admin_2, admin_2, admin_2, admin_2, admin_2
`year`	year	string	100%	-	-
`admin2Name_en`	admin2Name_en	string	0%	100	Abbottabad, Attock, Awaran, Badin, Bahawalnagar
`T_TL`	T_TL	integer	0%	100	1332912, 1883556, 121680, 1804516, 2981919
`U_TL`	U_TL	integer	0%	89	293137, 490006, 34244, 390378, 621096
`R_TL`	R_TL	integer	0%	100	1039775, 1393550, 87436, 1414138, 2360823
`M_TL`	M_TL	integer	0%	100	677570, 936811, 63023, 932488, 1514866
`F_TL`	F_TL	integer	0%	100	655281, 946683, 58657, 871979, 1466876
`TG_TL`	TG_TL	integer	0%	63	61, 62, 0, 49, 177

3 Admin 3 — 1 table(s)

PAK COD PS - PAK Codps (admin_3) — 433 rows, 5 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
`pcode`	Admin code	string	SEL	0%	100	PK20101, PK60305, PK61201, PK20301, PK62301
`region_name`	Admin name	string	SEL	0%	100	Abbottabad, Ahmadupr East, Ahmedpur Sial, Alai, Alipur
`T_TL`	Population count	float	SEL	0%	100	1332912, 1078683, 433517, 180414, 639748

Pending (3) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	admin_level	string	0%	1	admin_3, admin_3, admin_3, admin_3, admin_3
`year`	year	string	100%	-	-
`admin3Name_en`	admin3Name_en	string	0%	100	Abbottabad, Ahmadupr East, Ahmedpur Sial, Alai, Alipur

PAK LandScan Global (ORNL) PAK-LANDSCAN Modeled Population

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

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0 Admin 0 — 1 table(s)

PAK 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	PAK
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Pakistan
`admin_code`	Admin code	string	SEL	0%	1	80972501B79610057257386
`area_sqkm`	Area sqkm	float	SEL	0%	1	866216.7016
`pop_2024`	Population count	integer	SEL	0%	1	252130899
`pop_density_2024`	Population density	float	SEL	0%	1	291.07

1 Admin 1 — 1 table(s)

PAK LandScan - Population Admin1 (admin_1) — 7 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	PAK, PAK, PAK, PAK, PAK
`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%	7	Punjab, Sindh, Khyber Pakhtunkhwa, Balochistan, Azad Kashmir
`admin_code`	Admin code	string	SEL	0%	7	70912109B12169979015230, 70912109B8393927546319,...
`area_sqkm`	Area sqkm	float	SEL	0%	7	201923.7021, 137721.8058, 101528.7775, 352516.3032, 12391.7161
`pop_2024`	Population count	integer	SEL	0%	7	128287461, 57469878, 41894280, 12118073, 5984379
`pop_density_2024`	Population density	float	SEL	0%	7	635.33, 417.29, 412.63, 34.38, 482.93

Locality Locality — 1 table(s)

PAK LandScan - Cities (locality) — 299 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	PAK, PAK, PAK, PAK, PAK
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	100	Karachi, Lahore, Islamabad, Peshawar, Faisalabad
`admin_code`	Admin code	integer	SEL	0%	100	2457, 7794, 6766, 4277, 7428
`area_sqkm`	Area sqkm	float	SEL	0%	100	830.3868, 895.2583, 548.5684, 506.7228, 324.9983
`pop_2024`	Population count	integer	SEL	0%	100	28496825, 9986203, 5020856, 3733166, 3124369
`pop_density_2024`	Population density	float	SEL	0%	100	34317.53, 11154.55, 9152.65, 7367.27, 9613.49

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%	100	21031703, 14305060, 4913528, 3497359, 5676793
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	95	1.355, 0.698, 1.022, 1.067, 0.55

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

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

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Locality Locality — 1 table(s)

PAK GHS-UCDB - Cities (locality) — 299 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%	100	Karachi, Lahore, Faisalabad, Islamabad, Peshawar
`country_code`	Country code	string	SEL	0%	1	PAK, PAK, PAK, PAK, PAK
`population`	Population count	integer	SEL	0%	100	21031703, 14305060, 5676793, 4913528, 3497359

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	100	2457, 7794, 7428, 6766, 4277
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Pakistan, Pakistan, Pakistan, Pakistan, Pakistan
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

PAK World Bank Open Data PAK-WORLD_BANK Development Indicators

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

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0 Admin 0 — 3 table(s)

PAK 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	PK, PK, PK, PK, PK
`population_count`	Population count	float	SEL	2%	65	45709310.0, 46921277.0, 48156128.0, 49447776.0, 50799999.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	44.101, 44.956, 45.85, 46.761, 47.831
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	82.0241000071912, 87.7778246966181, 89.5039525753413,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	76%	16	25.7299995422363, 42.7000007629395, 49.8699989318848,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	250.1, 241.2, 232.9, 225.2, 218.1
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	86%	9	64.3, 51.7, 50.4, 44.1, 36.8

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

PAK World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PK, PK, PK, PK, PK
`life_expectancy`	Life expectancy	float	SEL	3%	64	44.101, 44.956, 45.85, 46.761, 47.831
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	64	86.9, 85.2, 83.6, 82.2, 80.8
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	250.1, 241.2, 232.9, 225.2, 218.1
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	37	432.0, 436.0, 442.0, 441.0, 439.0
`fertility_rate`	Fertility rate	float	SEL	3%	54	6.8, 6.8, 6.8, 6.8, 6.8
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	46.693, 46.63, 46.448, 46.242, 45.998
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	20.065, 19.483, 18.857, 18.234, 17.506
`physicians_per_1000`	Physicians per 1000	float	SEL	47%	35	0.185, 0.232, 0.233, 0.285, 0.344
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	52%	21	0.55726158618927, 0.520799994468689, 0.526300013065338,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	36	2.0, 3.0, 5.0, 15.0, 23.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	2.48079324, 2.33959723, 2.42219901, 2.10399199, 2.03666282

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

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

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

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	PAK, PAK, PAK, PAK, PAK
`country_name`	country_name	string	0%	1	Pakistan, Pakistan, Pakistan, Pakistan, Pakistan
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	6208204.0, 3669308.0, 4181912.0, 3174558.0, 3943681.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	7	5.3, 2.7, 2.7, 1.8, 2.0
`net_migration`	net_migration	float	0%	66	0.0, -66991.0, -65780.0, -64552.0, -63298.0
`remittances_received_usd`	remittances_received_usd	float	24%	50	411736938.5, 872086608.9, 1309296997.0, 1501616821.0,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	24%	50	3.12678016258323, 5.76545758748698, 7.3508457077478,...
`remittances_paid_usd`	remittances_paid_usd	float	26%	41	405952.096, 507440.1498, 405952.096, 811904.192, 710416.1978

PAK Glottolog Language Catalog PAK-GLOTTOLOG Language

86 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

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0 Admin 0 — 1 table(s)

PAK Glottolog - Languages — 86 rows, 16 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	86	aerr1238, bade1240, bagr1243, balt1258, bate1261
`name`	Name	string	CCL	0%	86	Aer, Badeshi, Bagri, Balti, Bateri
`iso639_3`	Iso639 3	string	CCL	0%	86	aeq, bdz, bgq, bft, btv
`level`	Level	string	CCL	0%	1	language, language, language, language, language
`family_name`	Family name	string	CCL	100%	-	-
`family_glottocode`	Family glottocode	string	CCL	1%	7	indo1319, unat1236, indo1319, sino1245, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	1%	56	west2830, indo1329, bagr1245, sham1282, bate1269
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`child_family_count`	Child family count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_language_count`	Child language count	integer	CCL	0%	1	0, 0, 0, 0, 0
`child_dialect_count`	Child dialect count	integer	CCL	0%	13	2, 0, 3, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	1%	84	25.254, 35.2655, 31.4, 34.4491, 34.9582
`longitude`	longitude	float	1%	84	69.029, 72.6823, 75.06, 77.2859, 72.92674
`country_codes`	Country codes	string	0%	18	['PK'], ['PK'], ['IN', 'PK'], ['IN', 'PK'], ['IN', 'PK']
`classification`	classification	string	0%	1	[], [], [], [], []

PAK UNHCR Refugee Data Finder PAK-UNHCR Migration

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

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0 Admin 0 — 2 table(s)

PAK UNHCR - Hosted 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%	-	-

PAK UNHCR - Origin Populations — 39 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%	-	-

PAK USAID DHS Program PAK-DHS Health Surveys

40 rows · 2 tables · 2017 USAID DHS Program 0 1 2 3 5 SEL 3 CCL 10 ext ▶

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1 Admin 1 — 2 table(s)

PAK DHS - Ethnicity Indicators — 18 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%	18	63.8, 15.4, 15.8, 15.9, 9.0
`men_who_are_literate`	Men who are literate	float	CCL	22%	14	83.6, 52.8, 54.6, 64.7, 71.5

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	Pakistan, Pakistan, Pakistan, Pakistan, Pakistan
`survey_year`	survey_year	integer	0%	3	2017, 2006, 2012, 2017, 2017
`region`	region	string	0%	9	Azad, Jammu and Kashmir, Balochistan, Balochistan,...
`survey_id`	survey_id	string	0%	3	PK2017DHS, PK2006DHS, PK2012DHS, PK2017DHS, PK2017DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

PAK DHS - Health Indicators — 22 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
`country_code`	Country code	string	SEL	100%	-	-
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	0%	19	47.0, 72.0, 49.0, 97.0, 66.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	0%	21	53.0, 101.0, 59.0, 111.0, 78.0
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	0%	22	75.2, 17.8, 35.2, 16.4, 28.8
`children_underweight`	Children underweight	float	CCL	18%	16	17.6, 51.0, 37.3, 39.0, 22.9

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	Pakistan, Pakistan, Pakistan, Pakistan, Pakistan
`survey_year`	survey_year	integer	0%	4	2017, 1991, 2006, 2012, 2017
`region`	region	string	0%	9	Azad, Jammu and Kashmir, Balochistan, Balochistan,...
`survey_id`	survey_id	string	0%	4	PK2017DHS, PK1991DHS, PK2006DHS, PK2012DHS, PK2017DHS
`survey_type`	survey_type	string	0%	1	DHS, DHS, DHS, DHS, DHS

PAK OpenFactBook PAK-OPENFACTBOOK Country Profile

17 rows · 17 tables · 2024 OpenFactBook 0 1 2 3 100 SEL 4 CCL 663 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 — 17 table(s)

PAK OpenFactBook - Communications — 1 rows, 21 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	1.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	77.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	27.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	1.0
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`telephones_fixed_lines_total_subscriptions_text`	telephones_fixed_lines_total_subscriptions_text	string	0%	1	2.573 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	2.573
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	193 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	193.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	77 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	120 satellite TV stations; 42 media companies/channels;...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	120.0
`internet_country_code_text`	Internet country code text	string	0%	1	.pk
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	27% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	3.36 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	3.36
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	1 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK OpenFactBook - Economy — 1 rows, 150 columns

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Field details — 155 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`real_gdp_per_capita_real_gdp_per_capita_2024_numeric`	Real gdp per capita 2024 (numeric)	float	SEL	0%	1	5500.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	373.072
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	21.9
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (149) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	lower middle-income South Asian economy; extremely high...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$1.39 trillion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	1.39
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$1.346 trillion (2023 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_numeric`	Real gdp purchasing power parity 2023 (numeric)	float	0%	1	1.346
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$1.347 trillion (2022 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_numeric`	Real gdp purchasing power parity 2022 (numeric)	float	0%	1	1.347
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	3.2% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	3.2
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	0% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	0.0
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	4.8% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	4.8
`real_gdp_growth_rate_note`	real_gdp_growth_rate_note	string	0%	1	note: annual GDP % growth based on constant local currency
`real_gdp_per_capita_real_gdp_per_capita_2024_text`	Real gdp per capita 2024 (text)	string	0%	1	$5,500 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$5,400 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	5400.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$5,500 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	5500.0
`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	$373.072 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	12.6% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	12.6
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	30.8% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	30.8
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	19.9% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	19.9
`inflation_rate_consumer_prices_note`	inflation_rate_consumer_prices_note	string	0%	1	note: annual % change based on consumer prices
`gdp_composition_by_sector_of_origin_agriculture_text`	gdp_composition_by_sector_of_origin_agriculture_text	string	0%	1	23.5% (2024 est.)
+119 more extension fields — download the CSV/Parquet to see them all.

PAK OpenFactBook - Energy — 1 rows, 67 columns

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Field details — 67 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	95.0
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (63) — 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	95% (2022 est.)
`electricity_access_electrification_urban_areas_text`	electricity_access_electrification_urban_areas_text	string	0%	1	100%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	100.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	93%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	93.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	43.512 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	43.512
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	145.357 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	145.357
`electricity_imports_text`	electricity_imports_text	string	0%	1	481.25 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	481.25
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	25.811 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	25.811
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	60.4% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	60.4
`electricity_generation_sources_nuclear_text`	electricity_generation_sources_nuclear_text	string	0%	1	14.1% of total installed capacity (2023 est.)
`electricity_generation_sources_nuclear_numeric`	electricity_generation_sources_nuclear_numeric	float	0%	1	14.1
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	0.7% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	0.7
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	3.7% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	3.7
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	19.9% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	19.9
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	1.1% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	1.1
`nuclear_energy_number_of_operational_nuclear_reactors_text`	nuclear_energy_number_of_operational_nuclear_reactors_text	string	0%	1	6 (2025)
`nuclear_energy_number_of_operational_nuclear_reactors_numeric`	nuclear_energy_number_of_operational_nuclear_reactors_numeric	float	0%	1	6.0
`nuclear_energy_number_of_nuclear_reactors_under_construction_text`	nuclear_energy_number_of_nuclear_reactors_under_construction_text	string	0%	1	1 (2025)
`nuclear_energy_number_of_nuclear_reactors_under_construction_numeric`	nuclear_energy_number_of_nuclear_reactors_under_construction_numeric	float	0%	1	1.0
`nuclear_energy_net_capacity_of_operational_nuclear_reactors_text`	nuclear_energy_net_capacity_of_operational_nuclear_reactors_text	string	0%	1	3.26GW (2025 est.)
+33 more extension fields — download the CSV/Parquet to see them all.

PAK OpenFactBook - Environment — 1 rows, 51 columns

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Field details — 55 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	46.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	4.1
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	38.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.1
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	30.76
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	water pollution from raw sewage, industrial wastes, and...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Environmental Protection, Antarctic-Marine...
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Marine Life Conservation
`climate_text`	climate_text	string	0%	1	mostly hot, dry desert; temperate in northwest; arctic in north
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	46.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 39.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	39.3
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.0
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 6.5% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	6.5
`land_use_forest_text`	land_use_forest_text	string	0%	1	4.1% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	49.2% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	49.2
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	38% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.1% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	212.655 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	212.655
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	59.937 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	59.937
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	93.713 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	93.713
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	59.006 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_consumed_natural_gas_numeric`	carbon_dioxide_emissions_from_consumed_natural_gas_numeric	float	0%	1	59.006
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	50.1 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	50.1
`methane_emissions_energy_text`	methane_emissions_energy_text	string	0%	1	1,625.2 kt (2022-2024 est.)
`methane_emissions_energy_numeric`	methane_emissions_energy_numeric	float	0%	1	1625.2
`methane_emissions_agriculture_text`	methane_emissions_agriculture_text	string	0%	1	5,381.3 kt (2019-2021 est.)
`methane_emissions_agriculture_numeric`	methane_emissions_agriculture_numeric	float	0%	1	5381.3
+17 more extension fields — download the CSV/Parquet to see them all.

PAK 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	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`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	Pakistani(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Pakistani
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Punjabi 44.7%, Pashtun (Pathan) 15.4%, Sindhi 14.1%,...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	44.7
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK OpenFactBook - Geography — 1 rows, 58 columns

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Field details — 63 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	796095.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	770875.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	25220.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	7257.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	1046.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2.0
`elevation_lowest_point_numeric`	Elevation min m	float	SEL	0%	1	0.0
`land_use_agricultural_land_numeric`	Agricultural land percent	float	SEL	0%	1	46.7
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	4.1
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	194200.0
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (50) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southern Asia, bordering the Arabian Sea, between India...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	30 00 N, 70 00 E
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	30.0
`map_references_text`	map_references_text	string	0%	1	Asia
`area_total_text`	area_total_text	string	0%	1	796,095 sq km
`area_land_text`	area_land_text	string	0%	1	770,875 sq km
`area_water_text`	area_water_text	string	0%	1	25,220 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly more than five times the size of Georgia;...
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	7,257 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Afghanistan 2,670 km; China 438 km; India 3,190 km; Iran 959 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	2670.0
`coastline_text`	coastline_text	string	0%	1	1,046 km
`maritime_claims_territorial_sea_text`	maritime_claims_territorial_sea_text	string	0%	1	12 nm
`maritime_claims_territorial_sea_numeric`	maritime_claims_territorial_sea_numeric	float	0%	1	12.0
`maritime_claims_contiguous_zone_text`	maritime_claims_contiguous_zone_text	string	0%	1	24 nm
`maritime_claims_contiguous_zone_numeric`	maritime_claims_contiguous_zone_numeric	float	0%	1	24.0
`maritime_claims_exclusive_economic_zone_text`	maritime_claims_exclusive_economic_zone_text	string	0%	1	200 nm
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`maritime_claims_continental_shelf_text`	maritime_claims_continental_shelf_text	string	0%	1	200 nm or to the edge of the continental margin
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	mostly hot, dry desert; temperate in northwest; arctic in north
`terrain_text`	terrain_text	string	0%	1	divided into three major geographic areas: the northern...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	K2 (Mt. Godwin-Austen) 8,611 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Arabian Sea 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	900 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	900.0
`natural_resources_text`	natural_resources_text	string	0%	1	arable land, extensive natural gas reserves, limited...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	46.7% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 39.3% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	39.3
+20 more extension fields — download the CSV/Parquet to see them all.

PAK OpenFactBook - Government — 1 rows, 92 columns

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Field details — 120 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	PAK
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (118) — 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 Pakistan
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Pakistan
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Jamhuryat Islami Pakistan
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Pakistan
`country_name_former_text`	country_name_former_text	string	0%	1	West Pakistan
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	the name is said to have been proposed in the early...
`country_name_etymology_numeric`	country_name_etymology_numeric	float	0%	1	1930.0
`government_type_text`	government_type_text	string	0%	1	federal parliamentary republic
`capital_name_text`	capital_name_text	string	0%	1	Islamabad
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	33 41 N, 73 03 E
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	33.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC+5 (10 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	5.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the name means "city of Islam" and derives from the...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	4 provinces, 2 Pakistan-administered areas*, and 1...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	4.0
`legal_system_text`	legal_system_text	string	0%	1	common law system with Islamic law influence
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest endorsed 12 April 1973, passed...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	12.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the Senate or by the National Assembly;...
`international_law_organization_participation_text`	international_law_organization_participation_text	string	0%	1	accepts compulsory ICJ jurisdiction with reservations;...
`citizenship_citizenship_by_birth_text`	Citizenship by birth (text)	string	0%	1	yes
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Pakistan
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes, but limited to select countries
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	4 out of the previous 7 years and including the 12...
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	4.0
`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	President Asif Ali ZARDARI (since 10 March 2024)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	10.0
+88 more extension fields — download the CSV/Parquet to see them all.

PAK 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	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`background_text`	background_text	string	0%	1	The Indus Valley civilization, one of the oldest in the...
`background_numeric`	background_numeric	float	0%	1	5000.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK 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	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`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	Punjabi 38.8%, Pashto (alternate name, Pashtu) 18.2%,...
`languages_languages_numeric`	Languages (numeric)	float	0%	1	38.8
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	دنیا کا قاموس، ایک لازمی زریہ بنیادی معلومات کا...
`languages_note`	languages_note	string	0%	1	note: data represent population by mother tongue;...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK OpenFactBook - Migration — 1 rows, 11 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`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	1,759,332 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	1759332.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	224,813 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	224813.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	60 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	60.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK OpenFactBook - Military And Security — 1 rows, 22 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`military_and_security_forces_text`	military_and_security_forces_text	string	0%	1	Pakistan Armed Forces: Pakistan Army (includes National...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	2.5% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	2.5
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	3% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	3.0
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	4.0
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	4% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	4.0
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	4.0
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 650,000 active Armed Forces (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	650000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory is a mix of mostly imported and...
`military_equipment_inventories_and_acquisitions_numeric`	military_equipment_inventories_and_acquisitions_numeric	float	0%	1	2025.0
`military_service_age_and_obligation_text`	military_service_age_and_obligation_text	string	0%	1	16-28 years of age for voluntary military service for...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	16.0
`military_deployments_text`	military_deployments_text	string	0%	1	1,400 Central African Republic (MINUSCA); 300 MONUSCO;...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	1400.0
`military_note_text`	military_note_text	string	0%	1	the Pakistan military is responsible for external...
`military_note_numeric`	military_note_numeric	float	0%	1	30.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK OpenFactBook - People And Society — 1 rows, 139 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	257047044.0
`population_male_numeric`	Population male	float	SEL	0%	1	130727015.0
`population_female_numeric`	Population female	float	SEL	0%	1	126320029.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	34.4
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	60.7
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	4.9
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	64.0
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	55.8
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	8.2
`median_age_total_numeric`	Median age	float	SEL	0%	1	23.2
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.82
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	25.05
`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	-1.1
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	38.0
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	2.1
`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	1.04
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	155.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	50.3
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	70.3
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	3.25
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.59
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	1.16
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	0.5
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	58.9
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`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	257,047,044 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	130,727,015
`population_female_text`	population_female_text	string	0%	1	126,320,029
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	34.4% (male 44,330,669/female 42,529,007)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	60.7% (male 78,321,834/female 74,833,003)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	4.9% (2024 est.) (male 5,735,294/female 6,613,764)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	64 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	55.8 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	8.2 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	12.1 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	12.1
`median_age_total_text`	median_age_total_text	string	0%	1	23.2 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	22.8 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	22.8
`median_age_female_text`	median_age_female_text	string	0%	1	23 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	23.0
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.82% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	25.05 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	-1.1 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	the Indus River and its tributaries attract most of the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	38% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	2.1% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	17.236 million Karachi, 13.979 million Lahore, 3.711...
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	17.236
`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	1.04 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.04
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.05 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.05
+93 more extension fields — download the CSV/Parquet to see them all.

PAK OpenFactBook - Religions — 1 rows, 6 columns

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	96.4
`composition_religion_hindu_pct_synth`	Hindu	numeric	CCL	0%	-	1.6
`composition_religion_other_pct_synth`	other	numeric	CCL	0%	-	-
`composition_ethnicity_primary_label_synth`	Punjabi	string	CCL	0%	-	Punjabi

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 96.4%, Hindu 1.6%, Christian 1.4%; less than 1%:...
`religions_numeric`	religions_numeric	float	0%	1	96.4
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_christian_1_4_scheduled_castes_pct_synth`	Christian 1.4%; : scheduled castes	numeric	0%	-	0.5
`composition_religion_qadiani_ahmadi_pct_synth`	Qadiani/Ahmadi	numeric	0%	-	-
`composition_religion_sikh_pct_synth`	Sikh	numeric	0%	-	-
`composition_ethnicity_punjabi_pct_synth`	Punjabi	numeric	0%	-	44.7
`composition_ethnicity_pashtun_pathan_pct_synth`	Pashtun (Pathan)	numeric	0%	-	15.4
`composition_ethnicity_sindhi_pct_synth`	Sindhi	numeric	0%	-	14.1
`composition_ethnicity_saraiki_pct_synth`	Saraiki	numeric	0%	-	8.4
`composition_ethnicity_muhajirs_pct_synth`	Muhajirs	numeric	0%	-	7.6
`composition_ethnicity_baloch_pct_synth`	Baloch	numeric	0%	-	3.6
`composition_ethnicity_other_pct_synth`	other	numeric	0%	-	6.3
`composition_ethnicity_primary_share_pct_synth`	Punjabi	numeric	0%	-	44.7

PAK OpenFactBook - Space — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`space_agency_agencies_text`	space_agency_agencies_text	string	0%	1	Pakistan Space & Upper Atmosphere Research Commission...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	1961.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	none; missile test sites at Somiani (Balochistan) and...
`space_launch_site_s_numeric`	space_launch_site_s_numeric	float	0%	1	2025.0
`space_program_overview_text`	space_program_overview_text	string	0%	1	space program dates back to the early 1960s, but funding...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	1960.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1962-1972 - launched about 200 sounding rockets with...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1962.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK 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	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`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	al-Qa’ida; al-Qa’ida in the Indian Subcontinent (AQIS);...
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK 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	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`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/pk.json

PAK OpenFactBook - Transportation — 1 rows, 30 columns

Loading data…

Field details — 33 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`airports_numeric`	Airports count	float	SEL	0%	1	117.0
`country_code`	Country code	string	SEL	0%	1	PAK
`country_name`	Country name	string	SEL	0%	1	Pakistan
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (29) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	AP
`airports_text`	airports_text	string	0%	1	117 (2025)
`heliports_text`	heliports_text	string	0%	1	48 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	48.0
`railways_total_text`	railways_total_text	string	0%	1	11,881 km (2021)
`railways_total_numeric`	railways_total_numeric	float	0%	1	11881.0
`railways_narrow_gauge_text`	railways_narrow_gauge_text	string	0%	1	389 km (2021) 1.000-m gauge
`railways_narrow_gauge_numeric`	railways_narrow_gauge_numeric	float	0%	1	389.0
`railways_broad_gauge_text`	railways_broad_gauge_text	string	0%	1	11,492 km (2021) 1.676-m gauge (286 km electrified)
`railways_broad_gauge_numeric`	railways_broad_gauge_numeric	float	0%	1	11492.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	60 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	60.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 5, oil tanker 9, other 46
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	5.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	3 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	3.0
`ports_large_text`	ports_large_text	float	0%	1	0
`ports_large_numeric`	ports_large_numeric	float	0%	1	0.0
`ports_medium_text`	ports_medium_text	float	0%	1	2
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	2.0
`ports_small_text`	ports_small_text	float	0%	1	1
`ports_small_numeric`	ports_small_numeric	float	0%	1	1.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	0
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	0.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	2
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	2.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Gwadar, Karachi, Muhamamad Bin Qasim
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	south-asia/pk.json

PAK D-PLACE PAK-DPLACE Ethnographic Societies

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

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

0 Admin 0 — 2 table(s)

PAK D-PLACE - Dplace Ea Societies — 6 rows, 23 columns

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

Standards-Aligned Fields (12)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAK, PAK, PAK, PAK, PAK
`society_id`	Society id	string	CCL	0%	6	Ea1, Ea10, Ea13, Ea2, Ea4
`society_name`	Society name	string	CCL	0%	6	Sindhi, Marri, Punjabi, Yusufzai, Kohistani
`language_glottocode`	Language glottocode	string	CCL	0%	6	sind1272, east2304, west2386, yusu1238, indu1241
`language_name`	Language name	string	CCL	0%	1	, , , ,
`kinship_system`	Kinship system	string	CCL	0%	5	EA017:3; EA018:1; EA019:1; EA020:1; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	6	EA006:1; EA007:7; EA008:7; EA009:2; EA023:10; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	6	EA001:0; EA002:0; EA003:2; EA004:3; EA005:5; EA028:6;...
`political_complexity`	Political complexity	string	CCL	0%	5	EA032:3; EA033:4, EA032:3; EA033:3, EA032:4; EA033:5,...
`religion_importance`	Religion importance	string	CCL	0%	3	EA034:4; EA112:NA, EA034:4; EA112:NA, EA034:4; EA112:NA,...
`residence_pattern`	Residence pattern	string	CCL	0%	2	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	6	EA030:7; EA031:8, EA030:2; EA031:1, EA030:8; EA031:8,...

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Pakistan, Pakistan, Pakistan, Pakistan, Pakistan
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	4	25.0, 30.0, 32.0, 35.0, 35.0
`longitude`	longitude	float	0%	4	68.0, 69.0, 73.0, 72.0, 73.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

PAK D-PLACE - Dplace Ea Societies Decoded — 6 rows, 49 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	PAK, PAK, PAK, PAK, PAK
`society_id`	society_id	string	CCL	0%	6	Ea1, Ea10, Ea13, Ea2, Ea4
`society_name`	society_name	string	CCL	0%	6	Sindhi, Marri, Punjabi, Yusufzai, Kohistani
`language_glottocode`	language_glottocode	string	CCL	0%	6	sind1272, east2304, west2386, yusu1238, indu1241
`language_name`	language_name	string	CCL	0%	1	, , , ,

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

Field Name	Label	Type	Nulls	Unique	Samples
`country_name`	country_name	string	0%	1	Pakistan, Pakistan, Pakistan, Pakistan, Pakistan
`dataset`	dataset	string	0%	1	EA, EA, EA, EA, EA
`region`	region	string	0%	1	, , , ,
`latitude`	latitude	float	0%	4	25.0, 30.0, 32.0, 35.0, 35.0
`longitude`	longitude	float	0%	4	68.0, 69.0, 73.0, 72.0, 73.0
`assignment_method`	assignment_method	string	0%	1	point_in_polygon, point_in_polygon, point_in_polygon,...
`assignment_confidence`	assignment_confidence	string	0%	1	approximate, approximate, approximate, approximate, approximate
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	0%	2	3, 3, 4, 4, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	0%	4	4, 3, 5, 3, 2
`religion_high_gods`	religion_high_gods	integer	0%	2	4, 4, 4, 4, 4
`trance_states`	trance_states	integer	67%	2	8, 1
`settlement_patterns`	settlement_patterns	integer	0%	4	7, 2, 8, 7, 3
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	17%	3	8, 1, 8, 5, 5
`marital_residence_first_years`	marital_residence_first_years	integer	0%	2	8, 8, 7, 8, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	1	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	1	8, 8, 8, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	1	9, 9, 9, 9, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	1	11, 11, 11, 11, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	3, 5, 4, 5, 5
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	2	1, 1, 1, 1, 1
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	1	1, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	1	1, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	2	9, 9, 9, 2, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	0%	2	2, 2, 2, 4, 2
`descent_major_type`	descent_major_type	integer	0%	2	1, 1, 1, 7, 1
+14 more extension fields — download the CSV/Parquet to see them all.

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

11 rows · 2 tables · 2026 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)

PAK NGA GNS - Language — 10 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	PAK, PAK, PAK, PAK, PAK
`gns_language_code`	gns_language_code	string	CCL	0%	10	eng, rus, urd, fas, zho
`gns_language_name`	gns_language_name	string	CCL	0%	10	English, Russian, Urdu, Persian, Chinese
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	8	17646, 734, 502, 193, 17
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	8	92.3294, 3.8405, 2.6266, 1.0098, 0.0889
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	8	0, 77, 102, 130, 7
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	3	, , Arab, , Hans
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	3	, , Arabic, , Han (Simplified variant)
`gns_script_count`	gns_script_count	integer	CCL	0%	3	0, 0, 2, 0, 1

PAK 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	PAK
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Pakistan
`gns_language_count`	gns_language_count	integer	CCL	0%	1	10
`gns_script_count`	gns_script_count	integer	CCL	0%	1	3
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9975
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	560

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	322100
`gns_feature_count`	gns_feature_count	integer	0%	1	228135
`gns_endonym_count`	gns_endonym_count	integer	0%	1	322092
`gns_exonym_count`	gns_exonym_count	integer	0%	1	8
`gns_source_build_date`	gns_source_build_date	string	0%	1	Wed, 05 Aug 2026
`gns_source_change_date`	gns_source_change_date	string	0%	1	2026-08-05
`gns_name_count_populated_places`	gns_name_count_populated_places	integer	0%	1	214795
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	148990
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	15365
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	12304
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	54366
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	38233
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	21753
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	16653
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	12835
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	9930
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	1200
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	914
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	1216
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	905
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	570
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	206

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

8 rows · 1 table · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

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

1 Admin 1 — 1 table(s)

PAK Mobility by Region — 8 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	PK, PK, PK, PK, PK
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	PAK, PAK, PAK, PAK, PAK

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	7	30.35, 36.71, 0.0, 0.0, 5.28
`grocery`	grocery	float	0%	7	-0.37, 45.26, 0.0, 0.0, 14.47
`parks`	parks	float	0%	8	71.24, 34.91, 64.11, 108.01, 25.35
`transit`	transit	float	0%	7	31.66, 29.39, 0.0, 0.0, 7.71
`workplaces`	workplaces	float	0%	8	0.01, 11.6, 43.79, 40.49, 2.21
`residential`	residential	float	0%	7	2.44, 2.75, 0.0, 0.0, 5.58
`region`	region	string	0%	8	Azad Jammu and Kashmir, Balochistan, Federally...
`observation_count`	observation_count	integer	0%	2	974, 974, 949, 949, 974

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

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

1 rows × 272 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

PAK Inform - Risk Index — 1 rows, 272 columns

Loading data…

Field details — 272 fields (type, nulls, unique, samples)

Pending (272) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	PAK
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	196597.485714286
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0571428571428571
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0786550761025743
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	770880.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.15
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.633638642079199
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	7.7
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	9.93795299530029
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	5.4
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	4.8
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	5.2
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.7
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	2.3
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	2.0
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	2.9
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	2.0
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	1.7
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	7.1
`inform_cc_inf_com`	Communication	float	0%	1	4.6
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	6.3
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.4
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	7.2
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	4.3
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	4.6
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	1.9
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	8.8
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	3.1
`inform_institutional_capacity`	Institutional	float	0%	1	6.0
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	5.2
+242 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Language	Place names	Share*	Script
English (eng)	17,646	92.3%	—
Russian (rus)	734	3.8%	—
Urdu (urd)	502	2.6%	Arabic +1
Persian (fas)	193	1.0%	—
Chinese (zho)	17	0.1%	Han (Simplified variant)
Pushto (pus)	13	0.1%	—
+ 4 further languages (7 names, each under 0.05%)

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Google	commercial	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
World Bank Open Data	international_organization	api
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
NGA GEOnet Names Server (GNS)	official_government	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
OpenFactBook	community_compilation	bulk_download