Panama

PAN Global Data Lab PAN-GDL Development Indices

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

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1 Admin 1 — 1 table(s)

PAN GDL - Subnational Indices — 442 rows, 11 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAN, PAN, PAN, PAN, PAN
`region_code`	Admin code	string	SEL	100%	-	-
`region_name`	Admin name	string	SEL	0%	13	Total, Bocas del Toro, Chiriqui, Cocle, Colon
`human_development_index`	Human development index	float	SEL	0%	72	0.694, 0.631, 0.694, 0.669, 0.702
`health_index`	Health index	float	SEL	0%	8	0.789, 0.789, 0.789, 0.789, 0.789
`education_index`	Education index	float	SEL	0%	89	0.604, 0.504, 0.598, 0.567, 0.616
`income_index`	Income index	float	SEL	0%	77	0.701, 0.634, 0.708, 0.671, 0.713
`life_expectancy`	Life expectancy	float	SEL	0%	8	71.27, 71.27, 71.27, 71.27, 71.27
`mean_years_schooling`	Mean years schooling	float	SEL	0%	100	9.067, 6.796, 8.755, 7.856, 9.768

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

Field Name	Label	Type	Nulls	Unique	Samples
`year`	year	integer	0%	8	1990, 1990, 1990, 1990, 1990
`level`	level	string	0%	2	national, subnational, subnational, subnational, subnational

PAN UNHCR Refugee Data Finder PAN-UNHCR Migration

150 rows · 2 table(s) UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

PAN UNHCR - Hosted Populations — 75 rows, 24 columns

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

Standards-Aligned Fields (6)

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

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

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

PAN UNHCR - Origin Populations — 75 rows, 24 columns

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

Standards-Aligned Fields (6)

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

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

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

PAN World Bank Open Data PAN-WORLD_BANK Development Indicators

132 rows · 2 table(s) World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 2 table(s)

PAN 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	PA, PA, PA, PA, PA
`population_count`	Population count	float	SEL	2%	65	1126005.0, 1159870.0, 1195301.0, 1232124.0, 1270065.0
`life_expectancy`	Life expectancy	float	SEL	3%	64	60.278, 60.914, 61.428, 61.814, 62.101
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	477.037935000289, 516.459861881073, 545.570446272529,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	86%	9	88.0699996948242, 88.7799987792969, 91.9000015258789,...
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	93.1, 90.4, 87.8, 85.2, 82.8
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	71%	19	37.9, 36.6, 38.3, 36.5, 33.8

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

PAN 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	PA, PA, PA, PA, PA
`life_expectancy`	Life expectancy	float	SEL	3%	64	60.278, 60.914, 61.428, 61.814, 62.101
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	58	40.5, 40.0, 39.3, 38.7, 38.0
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	64	93.1, 90.4, 87.8, 85.2, 82.8
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	31	95.0, 94.0, 93.0, 93.0, 96.0
`fertility_rate`	Fertility rate	float	SEL	3%	63	5.829, 5.865, 5.872, 5.865, 5.808
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	64	41.064, 41.274, 41.282, 41.215, 40.829
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	64	9.598, 9.288, 9.042, 8.854, 8.7
`physicians_per_1000`	Physicians per 1000	float	SEL	39%	40	0.356, 0.478, 0.613, 0.597, 0.993
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	53%	27	3.775310754776, 2.97410011291504, 3.38170003890991,...
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	25	47.0, 78.0, 60.0, 60.0, 59.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	64%	24	6.98486614, 6.91849852, 7.05643845, 6.71176672, 7.08192825

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

PAN Subnational Population PAN-HDX-SUBNATIONAL-POP Census

66 rows · 1 table(s) HDX 0 1 2 3 ▶

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2 Admin 2 — 1 table(s)

PAN Subnational Pop — 66 rows, 19 columns

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Field details — 19 fields (type, nulls, unique, samples)

Extension Fields (19) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`ISO3`	ISO3	string	0%	1	PAN, PAN, PAN, PAN, PAN
`Country`	Country	string	0%	1	Panama, Panama, Panama, Panama, Panama
`ADM1_PCODE`	ADM1 PCODE	string	100%	-	-
`ADM1_NAME`	ADM1 NAME	string	100%	-	-
`ADM2_PCODE`	ADM2 PCODE	string	100%	-	-
`ADM2_NAME`	ADM2 NAME	string	100%	-	-
`ADM3_PCODE`	ADM3 PCODE	string	100%	-	-
`ADM3_NAME`	ADM3 NAME	string	100%	-	-
`ADM4_PCODE`	ADM4 PCODE	string	100%	-	-
`ADM4_NAME`	ADM4 NAME	string	100%	-	-
`Population_group`	Population group	string	0%	66	F_TL, M_TL, T_TL, F_00_04, F_05_09
`Gender`	Gender	string	0%	3	f, m, all, f, f
`Age_range`	Age range	string	0%	22	all, all, all, 0-4, 5-9
`Age_min`	Age min	string	5%	21	0, 5, 10, 15, 20
`Age_max`	Age max	string	9%	20	4, 9, 14, 19, 24
`Population`	Population	string	0%	66	2049918, 2014527, 4064445, 158691, 175612
`Reference_year`	Reference year	string	0%	1	2023, 2023, 2023, 2023, 2023
`Source`	Source	string	0%	1	UNFPA and Instituto Nacional De Estadística y Censos...
`Contributor`	Contributor	string	0%	1	UNFPA, UNFPA, UNFPA, UNFPA, UNFPA

PAN LandScan Global (ORNL) PAN-LANDSCAN Modeled Population

19 rows · 3 table(s) LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

PAN 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	PAN
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	The Republic of Panama
`admin_code`	Admin code	string	SEL	0%	1	86535646B21018205851211
`area_sqkm`	Area sqkm	float	SEL	0%	1	75258.879
`pop_2024`	Population count	integer	SEL	0%	1	4422826
`pop_density_2024`	Population density	float	SEL	0%	1	58.77

1 Admin 1 — 1 table(s)

PAN LandScan - Population Admin1 (admin_1) — 13 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	PAN, PAN, PAN, PAN, PAN
`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%	13	Provincia de Panamá, Provincia de Panamá Oeste,...
`admin_code`	Admin code	string	SEL	0%	13	82927092B1953206585656, 82927092B58639026682610,...
`area_sqkm`	Area sqkm	float	SEL	0%	13	8260.0584, 2961.622, 6549.5286, 11196.7215, 4885.9354
`pop_2024`	Population count	integer	SEL	0%	13	1721252, 613728, 522784, 304024, 293399
`pop_density_2024`	Population density	float	SEL	0%	13	208.38, 207.23, 79.82, 27.15, 60.05

Locality Locality — 1 table(s)

PAN LandScan - Cities (locality) — 5 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	PAN, PAN, PAN, PAN, PAN
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	5	Panama City, La Chorrera, Arraiján, Colón, David
`admin_code`	Admin code	integer	SEL	0%	5	658, 366, 516, 203, 13
`area_sqkm`	Area sqkm	float	SEL	0%	5	275.2368, 48.6869, 65.5792, 49.6827, 33.7812
`pop_2024`	Population count	integer	SEL	0%	5	1548609, 193492, 178516, 140977, 96079
`pop_density_2024`	Population density	float	SEL	0%	5	5626.46, 3974.21, 2722.14, 2837.55, 2844.16

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%	5	1612439, 165454, 265294, 187546, 126995
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	5	0.96, 1.169, 0.673, 0.752, 0.757

PAN Glottolog Language Catalog PAN-GLOTTOLOG Language

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

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0 Admin 0 — 1 table(s)

PAN Glottolog - Languages — 17 rows, 16 columns

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

Standards-Aligned Fields (13)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`glottocode`	Glottocode	string	CCL	0%	17	bord1248, brib1243, bugl1243, chir1296, cuev1238
`name`	Name	string	CCL	0%	17	Border Kuna, Bribri, Buglere, Chiriqui Sign Languages, Cueva
`iso639_3`	Iso639 3	string	CCL	12%	15	kvn, bzd, sab, ydd, cto
`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%	5	chib1249, chib1249, chib1249, sign1238, uncl1493
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	14	kuna1280, vice1244, guay1266, cost1251, uncl1493
`endangerment_status`	Endangerment status	string	CCL	100%	-	-
`country_codes`	Country codes	string	SEL+	0%	7	['CO', 'PA'], ['CR', 'PA'], ['PA'], ['PA'], ['PA']
`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%	6	0, 3, 2, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	17	7.92993, 9.39794, 8.57695, 8.398055, 8.268235
`longitude`	longitude	float	0%	17	-77.1664, -83.0539, -81.25648, -82.409271, -78.184569
`classification`	classification	string	0%	1	[], [], [], [], []

PAN OpenFactBook PAN-OPENFACTBOOK Country Profile

16 rows · 16 table(s) OpenFactBook 0 1 2 3 99 SEL 1 CCL 580 ext ▶

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0 Admin 0 — 16 table(s)

PAN OpenFactBook - Communications — 1 rows, 22 columns

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

Standards-Aligned Fields (8)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric`	Fixed line subscriptions per 100	float	SEL	0%	1	18.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	157.0
`internet_country_code_text`	Internet country code text	string	SEL+	0%	1	.pa
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	78.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	18.0
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`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	811,000 (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	811000.0
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	18 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	6.98 million (2023 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	6.98
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	157 (2023 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	multiple privately owned TV networks and a...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	100.0
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	78% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	809,000 (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	809000.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	18 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

PAN OpenFactBook - Economy — 1 rows, 154 columns

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Field details — 154 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	36400.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	86.26
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	21.8
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (148) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`economic_overview_text`	economic_overview_text	string	0%	1	upper middle-income Central American economy; increasing...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$164.484 billion (2024 est.)
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_numeric`	Real gdp purchasing power parity 2024 (numeric)	float	0%	1	164.484
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$159.908 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	159.908
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$148.891 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	148.891
`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	2.9% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	2.9
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	7.4% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	7.4
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	10.8% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	10.8
`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	$36,400 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$35,900 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	35900.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$33,800 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	33800.0
`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	$86.26 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	0.7% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	0.7
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	1.5% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	1.5
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	2.9% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	2.9
`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	2.6% (2024 est.)
+118 more extension fields — download the CSV/Parquet to see them all.

PAN OpenFactBook - Energy — 1 rows, 43 columns

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Field details — 43 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	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (39) — 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	99%
`electricity_access_electrification_urban_areas_numeric`	electricity_access_electrification_urban_areas_numeric	float	0%	1	99.0
`electricity_access_electrification_rural_areas_text`	electricity_access_electrification_rural_areas_text	string	0%	1	100%
`electricity_access_electrification_rural_areas_numeric`	electricity_access_electrification_rural_areas_numeric	float	0%	1	100.0
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	4.485 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	4.485
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	11.777 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	11.777
`electricity_exports_text`	electricity_exports_text	string	0%	1	404.9 million kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	404.9
`electricity_imports_text`	electricity_imports_text	string	0%	1	234 million kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	234.0
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	924.16 million kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	924.16
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	38.2% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	38.2
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	6.8% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	6.8
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	6.9% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	6.9
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	47.8% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	47.8
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	0.3% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	0.3
`coal_consumption_text`	coal_consumption_text	string	0%	1	863,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	863000.0
`coal_imports_text`	coal_imports_text	string	0%	1	863,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	863000.0
`petroleum_refined_petroleum_consumption_text`	petroleum_refined_petroleum_consumption_text	string	0%	1	131,000 bbl/day (2023 est.)
+9 more extension fields — download the CSV/Parquet to see them all.

PAN OpenFactBook - Environment — 1 rows, 48 columns

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Field details — 48 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	29.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	62.3
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	69.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.92
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	1.472
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (40) — 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 agricultural runoff; deforestation...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Antarctic-Marine Living Resources, Biodiversity, Climate...
`international_environmental_agreements_party_to_numeric`	international_environmental_agreements_party_to_numeric	float	0%	1	2006.0
`international_environmental_agreements_signed_but_not_ratified_text`	international_environmental_agreements_signed_but_not_ratified_text	string	0%	1	Marine Life Conservation
`climate_text`	climate_text	string	0%	1	tropical maritime; hot, humid, cloudy; prolonged rainy...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	29.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 7.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	7.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.6% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.6
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 20.3% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	20.3
`land_use_forest_text`	land_use_forest_text	string	0%	1	62.3% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	8.2% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	8.2
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	69.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.92% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	23.458 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	23.458
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	1.969 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	1.969
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	20.389 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	20.389
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	1.101 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	1.101
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	11.9 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	11.9
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	1.472 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	14.2% (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	14.2
+10 more extension fields — download the CSV/Parquet to see them all.

PAN OpenFactBook - Ethnic Groups — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`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	Panamanian(s)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Panamanian
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Mestizo (mixed Indigenous and White) 65%, Indigenous...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	65.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

PAN OpenFactBook - Geography — 1 rows, 56 columns

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Field details — 56 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	75420.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	74340.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	1080.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	687.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	2490.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	3475.0
`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	29.5
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	62.3
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	394.0
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (43) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Central America, bordering both the Caribbean Sea and...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	9 00 N, 80 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	9.0
`map_references_text`	map_references_text	string	0%	1	Central America and the Caribbean
`area_total_text`	area_total_text	string	0%	1	75,420 sq km
`area_land_text`	area_land_text	string	0%	1	74,340 sq km
`area_water_text`	area_water_text	string	0%	1	1,080 sq km
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than South Carolina
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	687 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Colombia 339 km; Costa Rica 348 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	339.0
`coastline_text`	coastline_text	string	0%	1	2,490 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 or edge of continental margin
`maritime_claims_exclusive_economic_zone_numeric`	maritime_claims_exclusive_economic_zone_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	tropical maritime; hot, humid, cloudy; prolonged rainy...
`terrain_text`	terrain_text	string	0%	1	interior mostly steep, rugged mountains with dissected,...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Volcan Baru 3,475 m
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Pacific Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	360 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	360.0
`natural_resources_text`	natural_resources_text	string	0%	1	copper, mahogany forests, shrimp, hydropower
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	29.5% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 7.6% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	7.6
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 1.6% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	1.6
+13 more extension fields — download the CSV/Parquet to see them all.

PAN OpenFactBook - Government — 1 rows, 106 columns

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Field details — 106 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	PAN
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (104) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`country_name_conventional_long_form_text`	country_name_conventional_long_form_text	string	0%	1	Republic of Panama
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Panama
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	República de Panama
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Panama
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	origin is unclear; may come from a Guarani word meaning...
`government_type_text`	government_type_text	string	0%	1	presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Panama City
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	8 58 N, 79 32 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	8.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC-5 (same time as 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	origin is unclear; may come from a Guaraní word meaning...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	10 provinces (provincias, singular - provincia) and 4...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	10.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system; Supreme Court of Justice reviews...
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest effective 11 October 1972
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	11.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the National Assembly, by the Cabinet, or by...
`constitution_amendment_process_numeric`	constitution_amendment_process_numeric	float	0%	1	1.0
`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	yes
`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	President José Raúl MULINO Quintero (since 1 July 2024)
`executive_branch_chief_of_state_numeric`	executive_branch_chief_of_state_numeric	float	0%	1	1.0
`executive_branch_head_of_government_text`	executive_branch_head_of_government_text	string	0%	1	President José Raúl MULINO Quintero (since 1 July 2024)
+74 more extension fields — download the CSV/Parquet to see them all.

PAN OpenFactBook - Introduction — 1 rows, 7 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`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	Explored and settled by the Spanish in the 16th century,...
`background_numeric`	background_numeric	float	0%	1	16.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

PAN OpenFactBook - Languages — 1 rows, 7 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`languages_languages_text`	Languages (text)	string	0%	1	Spanish (official), Indigenous languages (including...
`languages_major_language_sample_s_text`	languages_major_language_sample_s_text	string	0%	1	La Libreta Informativa del Mundo, la fuente...
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

PAN OpenFactBook - Migration — 1 rows, 9 columns

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

Standards-Aligned Fields (3)

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

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

Field Name	Label	Type	Nulls	Unique	Samples
`refugees_and_internally_displaced_persons_refugees_text`	refugees_and_internally_displaced_persons_refugees_text	string	0%	1	10,801 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	10801.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	928 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	928.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

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

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Field details — 21 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	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (18) — 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	no regular military forcesMinistry of Public Security:...
`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	1.1% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.1
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.1% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.1
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.2% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.2
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.3% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.3
`military_expenditures_military_expenditures_2020_text`	Military expenditures 2020 (text)	string	0%	1	1.4% of GDP (2020 est.)
`military_expenditures_military_expenditures_2020_numeric`	Military expenditures 2020 (numeric)	float	0%	1	1.4
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 30,000 Ministry of Public Security personnel (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	30000.0
`military_note_text`	military_note_text	string	0%	1	the Panamanian Public Forces focus on law enforcement,...
`military_note_numeric`	military_note_numeric	float	0%	1	1950.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

PAN OpenFactBook - People And Society — 1 rows, 144 columns

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Field details — 144 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	4536008.0
`population_male_numeric`	Population male	float	SEL	0%	1	2284105.0
`population_female_numeric`	Population female	float	SEL	0%	1	2251903.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	25.0
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	64.8
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	10.1
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	54.4
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	38.4
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	16.0
`median_age_total_numeric`	Median age	float	SEL	0%	1	31.7
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	1.44
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	17.11
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	5.48
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	2.82
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	69.5
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	1.92
`sex_ratio_at_birth_numeric`	Sex ratio at birth	float	SEL	0%	1	1.06
`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	37.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	13.2
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	79.2
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	2.33
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	1.13
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	1.63
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	1.9
`literacy_total_population_numeric`	Literacy rate percent	float	SEL	0%	1	96.3
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (115) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	4,536,008 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	2,284,105
`population_female_text`	population_female_text	string	0%	1	2,251,903
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	25% (male 574,336/female 544,180)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	64.8% (male 1,465,907/female 1,433,023)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	10.1% (2024 est.) (male 211,014/female 241,781)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	54.4 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	38.4 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	16 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	6.3 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	6.3
`median_age_total_text`	median_age_total_text	string	0%	1	31.7 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	31 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	31.0
`median_age_female_text`	median_age_female_text	string	0%	1	31.9 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	31.9
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	1.44% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	17.11 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	5.48 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	2.82 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	population is concentrated towards the center of the...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	69.5% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	1.92% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	1.977 million PANAMA CITY (capital) (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	1.977
`sex_ratio_at_birth_text`	sex_ratio_at_birth_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_text`	sex_ratio_0_14_years_text	string	0%	1	1.06 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.06
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	1.02 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	1.02
+85 more extension fields — download the CSV/Parquet to see them all.

PAN OpenFactBook - Religions — 1 rows, 24 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_ethnicity_primary_label_synth`	Mestizo (mixed Indigenous and White)	string	CCL	0%	-	Mestizo (mixed Indigenous and White)

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	Evangelical 55%, Roman Catholic 33.4%, none 10.1%,...
`religions_numeric`	religions_numeric	float	0%	1	55.0
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

Pending (16) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_evangelical_pct_synth`	Evangelical	numeric	0%	-	55.0
`composition_religion_roman_catholic_pct_synth`	Roman Catholic	numeric	0%	-	33.4
`composition_religion_none_pct_synth`	none	numeric	0%	-	10.1
`composition_religion_unspecified_pct_synth`	unspecified	numeric	0%	-	1.5
`composition_ethnicity_mestizo_mixed_indigenous_and_white_pct_synth`	Mestizo (mixed Indigenous and White)	numeric	0%	-	65.0
`composition_ethnicity_indigenous_pct_synth`	Indigenous	numeric	0%	-	12.3
`composition_ethnicity_indigenous__ngabe_pct_synth`	Ngabe	numeric	0%	-	7.6
`composition_ethnicity_indigenous__kuna_pct_synth`	Kuna	numeric	0%	-	2.4
`composition_ethnicity_indigenous__embera_pct_synth`	Embera	numeric	0%	-	0.9
`composition_ethnicity_indigenous__bugle_pct_synth`	Bugle	numeric	0%	-	0.8
`composition_ethnicity_indigenous__other_pct_synth`	other	numeric	0%	-	0.4
`composition_ethnicity_indigenous__unspecified_pct_synth`	unspecified	numeric	0%	-	0.2
`composition_ethnicity_black_or_african_descent_pct_synth`	Black or African descent	numeric	0%	-	9.2
`composition_ethnicity_mulatto_pct_synth`	Mulatto	numeric	0%	-	6.8
`composition_ethnicity_white_pct_synth`	White	numeric	0%	-	6.7
`composition_ethnicity_primary_share_pct_synth`	Mestizo (mixed Indigenous and White)	numeric	0%	-	65.0

PAN 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	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`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	Tren de Aragua (TdA)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

PAN OpenFactBook - Transnational Issues — 1 rows, 7 columns

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

Standards-Aligned Fields (3)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`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 country (2025)
`illicit_drugs_usg_identification_numeric`	illicit_drugs_usg_identification_numeric	float	0%	1	2025.0
`source_section`	source_section	string	0%	1	Transnational Issues
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

PAN OpenFactBook - Transportation — 1 rows, 33 columns

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Field details — 33 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	HP
`airports_numeric`	Airports count	float	SEL	0%	1	77.0
`country_code`	Country code	string	SEL	0%	1	PAN
`country_name`	Country name	string	SEL	0%	1	Panama
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`airports_text`	airports_text	string	0%	1	77 (2025)
`heliports_text`	heliports_text	string	0%	1	1 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	1.0
`railways_total_text`	railways_total_text	string	0%	1	77 km (2014)
`railways_total_numeric`	railways_total_numeric	float	0%	1	77.0
`railways_standard_gauge_text`	railways_standard_gauge_text	string	0%	1	77 km (2014) 1.435-m gauge
`railways_standard_gauge_numeric`	railways_standard_gauge_numeric	float	0%	1	77.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	8,174 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	8174.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 2732, container ship 671, general cargo...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	2732.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	12 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	12.0
`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	3
`ports_medium_numeric`	ports_medium_numeric	float	0%	1	3.0
`ports_small_text`	ports_small_text	float	0%	1	3
`ports_small_numeric`	ports_small_numeric	float	0%	1	3.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	5
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	5.0
`ports_size_unknown_text`	ports_size_unknown_text	float	0%	1	1
`ports_size_unknown_numeric`	ports_size_unknown_numeric	float	0%	1	1.0
`ports_ports_with_oil_terminals_text`	Ports with oil terminals (text)	float	0%	1	5
`ports_ports_with_oil_terminals_numeric`	Ports with oil terminals (numeric)	float	0%	1	5.0
`ports_key_ports_text`	ports_key_ports_text	string	0%	1	Bahia de las Minas, Balboa, Pedregal, Puerto Armuelles,...
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	central-america-n-caribbean/pm.json

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

14 rows · 2 table(s) HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 10 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)

PAN Cod Ps - Pan Codps (admin_0) — 1 rows, 71 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	1	PA
`region_name`	Region name	string	SEL	0%	1	Panama
`F_TL`	Female population	integer	SEL	0%	1	2049918
`M_TL`	Male population	integer	SEL	0%	1	2014527
`T_TL`	Total population	integer	SEL	0%	1	4064445

Pending (66) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_0
`year`	Reference year	integer	0%	1	2023
`year`	year	integer	0%	1	2023
`F_00_04`	Female population age 0-4	integer	0%	1	158691
`F_05_09`	Female population age 5-9	integer	0%	1	175612
`F_10_14`	Female population age 10-14	integer	0%	1	172041
`F_15_19`	Female population age 15-19	integer	0%	1	160343
`F_20_24`	Female population age 20-24	integer	0%	1	160729
`F_25_29`	Female population age 25-29	integer	0%	1	157190
`F_30_34`	Female population age 30-34	integer	0%	1	150936
`F_35_39`	Female population age 35-39	integer	0%	1	142704
`F_40_44`	Female population age 40-44	integer	0%	1	133726
`F_45_49`	Female population age 45-49	integer	0%	1	122557
`F_50_54`	Female population age 50-54	integer	0%	1	117509
`F_55_59`	Female population age 55-59	integer	0%	1	101675
`F_60_64`	Female population age 60-64	integer	0%	1	84770
`F_65_69`	Female population age 65-69	integer	0%	1	66836
`F_70_74`	Female population age 70-74	integer	0%	1	52712
`F_75_79`	Female population age 75-79	integer	0%	1	39143
`F_80_84`	Female population age 80-84	integer	0%	1	25935
`F_85_89`	Female population age 85-89	integer	0%	1	15889
`F_90_94`	Female population age 90-94	integer	0%	1	7584
`F_95_99`	Female population age 95-99	integer	0%	1	2673
`F_100Plus`	Female population age 100+	integer	0%	1	663
`M_00_04`	Male population age 0-4	integer	0%	1	163758
`M_05_09`	Male population age 5-9	integer	0%	1	182268
`M_10_14`	Male population age 10-14	integer	0%	1	180606
`M_15_19`	Male population age 15-19	integer	0%	1	167952
`M_20_24`	Male population age 20-24	integer	0%	1	163615
`M_25_29`	Male population age 25-29	integer	0%	1	153725
+36 more pending fields — download the CSV/Parquet to see them all.

1 Admin 1 — 1 table(s)

PAN Cod Ps - Pan Codps (admin_1) — 13 rows, 71 columns

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

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`pcode`	Admin code	string	SEL	0%	13	PA01, PA02, PA03, PA04, PA05
`region_name`	Region name	string	SEL	0%	13	Bocas del Toro, Chiriquí, Coclé, Colón, Darién
`F_TL`	Female population	integer	SEL	0%	13	79290, 235855, 132137, 142076, 25697
`M_TL`	Male population	integer	SEL	0%	13	79938, 235204, 136127, 139848, 28538
`T_TL`	Total population	integer	SEL	0%	13	159228, 471059, 268264, 281924, 54235

Pending (66) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`admin_level`	Admin level	string	0%	1	admin_1, admin_1, admin_1, admin_1, admin_1
`year`	Reference year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`year`	year	integer	0%	1	2023, 2023, 2023, 2023, 2023
`F_00_04`	Female population age 0-4	integer	0%	13	10260, 17698, 9380, 11776, 2992
`F_05_09`	Female population age 5-9	integer	0%	13	10251, 18642, 10845, 13508, 3066
`F_10_14`	Female population age 10-14	integer	0%	13	9319, 18942, 11013, 13416, 2682
`F_15_19`	Female population age 15-19	integer	0%	13	8276, 18853, 10734, 11794, 2424
`F_20_24`	Female population age 20-24	integer	0%	13	7050, 18963, 10707, 11648, 2109
`F_25_29`	Female population age 25-29	integer	0%	13	6129, 17427, 10303, 11288, 2003
`F_30_34`	Female population age 30-34	integer	0%	13	5402, 16207, 9303, 10631, 1814
`F_35_39`	Female population age 35-39	integer	0%	13	4856, 14951, 8637, 9932, 1612
`F_40_44`	Female population age 40-44	integer	0%	13	3906, 14604, 7893, 9029, 1433
`F_45_49`	Female population age 45-49	integer	0%	13	3395, 13979, 7665, 8089, 1153
`F_50_54`	Female population age 50-54	integer	0%	13	2983, 13706, 7710, 7674, 1166
`F_55_59`	Female population age 55-59	integer	0%	13	2320, 12708, 6589, 6452, 886
`F_60_64`	Female population age 60-64	integer	0%	13	1787, 10791, 5665, 5233, 771
`F_65_69`	Female population age 65-69	integer	0%	13	1297, 8588, 4490, 3953, 537
`F_70_74`	Female population age 70-74	integer	0%	13	937, 6931, 3713, 3035, 441
`F_75_79`	Female population age 75-79	integer	0%	13	552, 5230, 3068, 2123, 295
`F_80_84`	Female population age 80-84	integer	0%	13	317, 3596, 2156, 1201, 165
`F_85_89`	Female population age 85-89	integer	0%	13	158, 2315, 1397, 817, 91
`F_90_94`	Female population age 90-94	integer	0%	13	72, 1197, 586, 342, 36
`F_95_99`	Female population age 95-99	integer	0%	13	17, 410, 229, 115, 16
`F_100Plus`	Female population age 100+	integer	0%	12	6, 117, 54, 20, 5
`M_00_04`	Male population age 0-4	integer	0%	13	10806, 18554, 9587, 11951, 3048
`M_05_09`	Male population age 5-9	integer	0%	13	10597, 19355, 11338, 14060, 3089
`M_10_14`	Male population age 10-14	integer	0%	13	9905, 19628, 11525, 13885, 3019
`M_15_19`	Male population age 15-19	integer	0%	13	8425, 20031, 11333, 12367, 2753
`M_20_24`	Male population age 20-24	integer	0%	13	6738, 19740, 11297, 11715, 2292
`M_25_29`	Male population age 25-29	integer	0%	13	5366, 17366, 10382, 11036, 2001
+36 more pending fields — download the CSV/Parquet to see them all.

PAN Ethnic Power Relations Dataset PAN-EPR Political Ethnicity

5 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)

PAN EPR - Groups — 5 rows, 8 columns

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

Standards-Aligned Fields (6)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAN, PAN, PAN, PAN, PAN
`ethnic_group_name`	Ethnic group name	string	CCL	0%	5	Whites/mestizos, Afropanamanians, Ngäbe-Buglé, Kuna,...
`ethnic_power_status`	Ethnic power status	string	CCL	0%	2	DOMINANT, POWERLESS, POWERLESS, POWERLESS, POWERLESS
`ethnic_population_share`	Ethnic population share	float	CCL	0%	5	0.71, 0.16, 0.09, 0.025, 0.01
`ethnic_group_id`	Ethnic group id	float	CCL	0%	5	9501000, 9502000, 9503000, 9504000, 9505000
`regional_autonomy`	Regional autonomy	string	CCL	0%	3	, false, true, true, true

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	, , , ,

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

5 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)

PAN GHS-UCDB - Cities (locality) — 5 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%	5	Panama City, Arraiján, Colón, La Chorrera, David
`country_code`	Country code	string	SEL	0%	1	PAN, PAN, PAN, PAN, PAN
`population`	Population count	integer	SEL	0%	5	1612439, 265294, 187546, 165454, 126995

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	5	658, 516, 203, 366, 13
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Panama, Panama, Panama, Panama, Panama
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

PAN D-PLACE PAN-DPLACE Ethnographic Societies

3 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)

PAN D-PLACE - Dplace Ea Societies — 3 rows, 18 columns

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

Standards-Aligned Fields (11)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PAN, PAN, PAN
`society_id`	Society id	string	CCL	0%	3	Sa1, Sa14, Sa4
`society_name`	Society name	string	CCL	0%	3	Guna, Ngäbe, Emberá
`language_glottocode`	Language glottocode	string	CCL	0%	3	sanb1242, ngab1239, nort2972
`language_name`	Language name	string	CCL	0%	1	, ,
`kinship_system`	Kinship system	string	CCL	0%	3	EA001:0; EA002:1; EA003:3; EA004:0; EA005:6, EA001:2;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	3	EA006:2; EA007:8; EA008:8; EA009:2; EA010:9, EA006:2;...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	3	EA028:3; EA029:6; EA030:7; EA031:2; EA032:3, EA028:NA;...
`political_complexity`	Political complexity	string	CCL	0%	3	EA033:2; EA034:4; EA035:1, EA033:NA; EA034:NA; EA035:NA,...
`religion_importance`	Religion importance	string	CCL	0%	3	EA034:4; EA112:2, EA034:NA; EA112:NA, EA034:2; EA112:5
`residence_pattern`	Residence pattern	string	CCL	0%	3	EA011:3; EA012:9; EA013:9, EA011:3; EA012:5; 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	Panama, Panama, Panama
`dataset`	dataset	string	0%	1	EA, EA, EA
`region`	region	string	0%	1	, ,
`latitude`	latitude	float	0%	2	9.0, 8.0, 8.0
`longitude`	longitude	float	0%	2	-78.0, -81.0, -78.0
`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

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

3 rows · 2 table(s) NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 20 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)

PAN Nga Gns - Language — 2 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	PAN, PAN
`gns_language_code`	gns_language_code	string	CCL	0%	2	spa, eng
`gns_language_name`	gns_language_name	string	CCL	0%	2	Spanish, English
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	2	29969, 22
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	2	99.9266, 0.0734
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0

PAN Nga Gns - Summary — 1 rows, 27 columns

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Field details — 27 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	PAN
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Panama
`gns_language_count`	gns_language_count	integer	CCL	0%	1	2
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9873
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

Extension Fields (20) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`gns_name_count`	gns_name_count	integer	0%	1	39284
`gns_feature_count`	gns_feature_count	integer	0%	1	30848
`gns_endonym_count`	gns_endonym_count	integer	0%	1	39279
`gns_exonym_count`	gns_exonym_count	integer	0%	1	5
`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	16806
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	13272
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	11183
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	8838
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	6340
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	4593
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	852
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	608
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	12
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	12
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	699
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	598
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	3392
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	2927

PAN Global Organized Crime Index PAN-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)

PAN 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.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
HDX (Humanitarian Data Exchange)	international_organization	bulk_download
GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT)	academic	bulk_download
Ethnic Power Relations Dataset	academic	bulk_download
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
NGA GEOnet Names Server (GNS)	official_government	bulk_download
Global Data Lab	academic	api
World Bank Open Data	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
Glottolog Language Catalog	academic	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download