Portugal

Portugal Register Census (Eurostat demo_r_pjangrp3) PRT-EUROSTAT-CENSUS Census

56 rows · 4 tables · 2023 Eurostat 0 1 2 3 16 SEL 8 ext ▶

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0 Admin 0 — 1 table(s)

Portugal Register Census — National — 1 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`region_code`	region code	string	SEL	0%	-	PT
`region_name`	region name	string	SEL	0%	-	Portugal
`admin_level`	admin level	string	SEL	0%	-	admin_0
`population_total`	population total	integer	SEL	0%	-	10516621

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	5020648
`population_women`	population women	integer	0%	-	5495973

1 Admin 1 — 1 table(s)

Portugal Register Census — NUTS-1 — 3 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`region_code`	region code	string	SEL	0%	-	PT1, PT2, PT3
`region_name`	region name	string	SEL	0%	-	Continente, Região Autónoma dos Açores, Região Autónoma...
`admin_level`	admin level	string	SEL	0%	-	admin_1, admin_1, admin_1
`population_total`	population total	integer	SEL	0%	-	10022426, 240125, 254070

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	4783958, 117286, 119404
`population_women`	population women	integer	0%	-	5238468, 122839, 134666

2 Admin 2 — 1 table(s)

Portugal Register Census — NUTS-2 — 12 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`region_code`	region code	string	SEL	0%	-	PT11, PT15, PT16, PT17, PT18
`region_name`	region name	string	SEL	0%	-	Norte, Algarve, Centro (PT) (NUTS 2021), Área...
`admin_level`	admin level	string	SEL	0%	-	admin_2, admin_2, admin_2, admin_2, admin_2
`population_total`	population total	integer	SEL	0%	-	3640294, 478618, 2264956, 2921564, 716994

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	1743176, 232369, 1083360, 1376361, 348692
`population_women`	population women	integer	0%	-	1897118, 246249, 1181596, 1545203, 368302

3 Admin 3 — 1 table(s)

Portugal Register Census — NUTS-3 — 40 rows, 6 columns

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

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`region_code`	region code	string	SEL	0%	-	PT111, PT112, PT119, PT11A, PT11B
`region_name`	region name	string	SEL	0%	-	Alto Minho, Cávado, Ave, Área Metropolitana do Porto,...
`admin_level`	admin level	string	SEL	0%	-	admin_3, admin_3, admin_3, admin_3, admin_3
`population_total`	population total	integer	SEL	0%	-	232674, 424505, 420418, 1779994, 83510

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

Field Name	Label	Type	Nulls	Unique	Samples
`population_men`	population men	integer	0%	-	110134, 204692, 203763, 847336, 39999
`population_women`	population women	integer	0%	-	122540, 219813, 216655, 932658, 43511

PRT World Bank Open Data PRT-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)

PRT 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	PT, PT, PT, PT, PT
`population_count`	Population count	float	SEL	2%	65	8857716.0, 8929316.0, 8993985.0, 9030355.0, 9035365.0
`life_expectancy`	Life expectancy	float	SEL	3%	63	64.0074634146342, 62.666512195122, 64.1810243902439,...
`gdp_per_capita_usd`	Gdp per capita usd	float	SEL	2%	65	376.976430250874, 400.223162057827, 426.49433629823,...
`literacy_rate_pct`	Literacy rate percent	float	SEL	96%	3	79.4400024414062, 87.9499969482422, 94.4800033569336
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	57	114.1, 109.9, 104.4, 97.6, 91.0
`poverty_headcount_pct`	Poverty headcount percent	float	SEL	71%	15	20.4, 19.4, 18.5, 18.1, 18.5

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

PRT 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	PT, PT, PT, PT, PT
`life_expectancy`	Life expectancy	float	SEL	3%	63	64.0074634146342, 62.666512195122, 64.1810243902439,...
`infant_mortality_per_1000`	Infant mortality per 1000	float	SEL	3%	51	28.6, 27.5, 26.7, 26.3, 26.2
`under5_mortality_per_1000`	Under5 mortality per 1000	float	SEL	3%	57	114.1, 109.9, 104.4, 97.6, 91.0
`maternal_mortality_per_100k`	Maternal mortality per 100k	float	SEL	41%	13	20.0, 19.0, 19.0, 18.0, 18.0
`fertility_rate`	Fertility rate	float	SEL	3%	47	3.16, 3.21, 3.23, 3.12, 3.21
`birth_rate_per_1000`	Birth rate per 1000	float	SEL	3%	52	24.1, 24.4, 24.5, 23.5, 24.0
`death_rate_per_1000`	Death rate per 1000	float	SEL	3%	22	10.7, 11.2, 10.8, 10.9, 10.7
`physicians_per_1000`	Physicians per 1000	float	SEL	20%	42	0.8, 0.8, 0.9, 0.8, 0.8
`hospital_beds_per_1000`	Hospital beds per 1000	float	SEL	42%	21	4.0, 4.0, 4.0, 4.0, 4.09999990463257
`vaccination_rate_pct`	Vaccination rate percent	float	SEL	32%	16	73.0, 75.0, 78.0, 79.0, 78.0
`health_expenditure_pct_gdp`	Health expenditure percent gdp	float	SEL	62%	25	8.60104179, 8.62751579, 8.78642941, 9.12415695, 9.5325079

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

PRT 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	PRT, PRT, PRT, PRT, PRT
`country_name`	country_name	string	0%	1	Portugal, Portugal, Portugal, Portugal, Portugal
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	435782.0, 532822.0, 651472.0, 771184.0, 762825.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	8	4.4, 5.3, 6.3, 7.3, 7.2
`net_migration`	net_migration	float	0%	66	-95886.0, -112768.0, -113947.0, -116874.0, -118763.0
`remittances_received_usd`	remittances_received_usd	float	24%	50	1127104004.0, 924339477.5, 1197053955.0, 1697034912.0,...
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	24%	50	5.82554708126252, 4.54604403988532, 5.5833981831409,...
`remittances_paid_usd`	remittances_paid_usd	float	24%	50	22848613.74, 21600763.32, 26513475.42, 18286382.68, 16373090.74

PRT UNHCR Refugee Data Finder PRT-UNHCR Migration

82 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)

PRT UNHCR - Hosted Populations — 50 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%	-	-

PRT UNHCR - Origin Populations — 32 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%	-	-

PRT LandScan Global (ORNL) PRT-LANDSCAN Modeled Population

30 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)

PRT 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	PRT
`admin_level`	Admin level	string	SEL	0%	1	admin_0
`admin_name`	Admin name	string	SEL	0%	1	Portugal
`admin_code`	Admin code	string	SEL	0%	1	79933184B91516589295848
`area_sqkm`	Area sqkm	float	SEL	0%	1	92229.0553
`pop_2024`	Population count	integer	SEL	0%	1	10132868
`pop_density_2024`	Population density	float	SEL	0%	1	109.87

1 Admin 1 — 1 table(s)

PRT LandScan - Population Admin1 (admin_1) — 20 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	PRT, PRT, PRT, PRT, PRT
`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%	20	LISBOA, PORTO, SETÚBAL, BRAGA, AVEIRO
`admin_code`	Admin code	string	SEL	0%	20	24955722B70468072404853, 24955722B24387739047039,...
`area_sqkm`	Area sqkm	float	SEL	0%	20	2815.8919, 2332.2212, 5215.778, 2706.4333, 2800.6902
`pop_2024`	Population count	integer	SEL	0%	20	2237693, 1755862, 855199, 832820, 691952
`pop_density_2024`	Population density	float	SEL	0%	20	794.67, 752.87, 163.96, 307.72, 247.06

Locality Locality — 1 table(s)

PRT LandScan - Cities (locality) — 9 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	PRT, PRT, PRT, PRT, PRT
`admin_level`	Admin level	string	SEL	0%	1	locality, locality, locality, locality, locality
`admin_name`	Admin name	string	SEL	0%	9	Lisbon, Porto, Almada, Barreiro, Funchal
`admin_code`	Admin code	integer	SEL	0%	9	231, 1058, 392, 679, 44
`area_sqkm`	Area sqkm	float	SEL	0%	9	425.3768, 323.7072, 50.9242, 32.951, 45.8706
`pop_2024`	Population count	integer	SEL	0%	9	1674321, 976840, 147901, 119057, 113200
`pop_density_2024`	Population density	float	SEL	0%	9	3936.09, 3017.67, 2904.34, 3613.15, 2467.81

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

Field Name	Label	Type	Nulls	Unique	Samples
`ghs_pop_2025`	ghs_pop_2025	integer	0%	9	1974574, 1060250, 219477, 143987, 135362
`landscan_vs_ghs_ratio`	landscan_vs_ghs_ratio	float	0%	9	0.848, 0.921, 0.674, 0.827, 0.836

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

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

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1 Admin 1 — 1 table(s)

PRT Mobility by Region — 20 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	PT, PT, PT, PT, PT
`admin_level`	Admin level	integer	SEL	0%	1	1, 1, 1, 1, 1
`iso3`	Country code	string	SEL	0%	1	PRT, PRT, PRT, PRT, PRT

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

Field Name	Label	Type	Nulls	Unique	Samples
`retail`	retail	float	0%	20	-1.41, 4.67, -1.38, -3.22, -4.64
`grocery`	grocery	float	0%	20	13.75, 24.49, 11.88, 21.98, 9.66
`parks`	parks	float	0%	20	4.57, 65.03, 17.19, 4.2, 0.14
`transit`	transit	float	0%	19	-1.55, 60.18, 0.0, -6.83, -1.5
`workplaces`	workplaces	float	0%	20	-12.96, -2.5, -16.36, -15.46, -21.1
`residential`	residential	float	0%	20	4.55, 5.54, 1.91, 5.1, 2.29
`region`	region	string	0%	20	Aveiro District, Azores, Beja District, Braga, Bragança District
`observation_count`	observation_count	integer	0%	19	17884, 974, 5271, 12295, 3428

PRT OpenFactBook PRT-OPENFACTBOOK Country Profile

16 rows · 16 tables · 2024 OpenFactBook 0 1 2 3 96 SEL 2 CCL 603 ext ▶

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0 Admin 0 — 16 table(s)

PRT 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	53.0
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric`	Mobile subscriptions per 100	float	SEL	0%	1	124.0
`internet_users_percent_of_population_numeric`	Internet penetration percent	float	SEL	0%	1	86.0
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric`	Broadband subscriptions per 100	float	SEL	0%	1	44.0
`country_code`	Country code	string	SEL	0%	1	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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	5.505 million (2023 est.)
`telephones_fixed_lines_total_subscriptions_numeric`	telephones_fixed_lines_total_subscriptions_numeric	float	0%	1	5.505
`telephones_fixed_lines_subscriptions_per_100_inhabitants_text`	telephones_fixed_lines_subscriptions_per_100_inhabitants_text	string	0%	1	53 (2023 est.)
`telephones_mobile_cellular_total_subscriptions_text`	telephones_mobile_cellular_total_subscriptions_text	string	0%	1	12.9 million (2024 est.)
`telephones_mobile_cellular_total_subscriptions_numeric`	telephones_mobile_cellular_total_subscriptions_numeric	float	0%	1	12.9
`telephones_mobile_cellular_subscriptions_per_100_inhabitants_text`	telephones_mobile_cellular_subscriptions_per_100_inhabitants_text	string	0%	1	124 (2024 est.)
`broadcast_media_text`	broadcast_media_text	string	0%	1	Radio e Televisao de Portugal, the publicly owned TV...
`broadcast_media_numeric`	broadcast_media_numeric	float	0%	1	4.0
`internet_country_code_text`	Internet country code text	string	0%	1	.pt
`internet_users_percent_of_population_text`	internet_users_percent_of_population_text	string	0%	1	86% (2023 est.)
`broadband_fixed_subscriptions_total_text`	broadband_fixed_subscriptions_total_text	string	0%	1	4.6 million (2023 est.)
`broadband_fixed_subscriptions_total_numeric`	broadband_fixed_subscriptions_total_numeric	float	0%	1	4.6
`broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text`	broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text	string	0%	1	44 (2023 est.)
`source_section`	source_section	string	0%	1	Communications
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT 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	41900.0
`gdp_official_exchange_rate_numeric`	Gdp total usd	float	SEL	0%	1	308.683
`population_below_poverty_line_numeric`	Poverty headcount percent	float	SEL	0%	1	16.4
`country_code`	Country code	string	SEL	0%	1	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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	high-income EU and eurozone economy; strong services...
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text`	Real gdp purchasing power parity 2024 (text)	string	0%	1	$448.226 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	448.226
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text`	Real gdp purchasing power parity 2023 (text)	string	0%	1	$439.745 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	439.745
`real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text`	Real gdp purchasing power parity 2022 (text)	string	0%	1	$428.547 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	428.547
`real_gdp_purchasing_power_parity_note`	real_gdp_purchasing_power_parity_note	string	0%	1	note: data in 2021 dollars
`real_gdp_growth_rate_real_gdp_growth_rate_2024_text`	Real gdp growth rate 2024 (text)	string	0%	1	1.9% (2024 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric`	Real gdp growth rate 2024 (numeric)	float	0%	1	1.9
`real_gdp_growth_rate_real_gdp_growth_rate_2023_text`	Real gdp growth rate 2023 (text)	string	0%	1	2.6% (2023 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric`	Real gdp growth rate 2023 (numeric)	float	0%	1	2.6
`real_gdp_growth_rate_real_gdp_growth_rate_2022_text`	Real gdp growth rate 2022 (text)	string	0%	1	7% (2022 est.)
`real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric`	Real gdp growth rate 2022 (numeric)	float	0%	1	7.0
`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	$41,900 (2024 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_text`	Real gdp per capita 2023 (text)	string	0%	1	$41,600 (2023 est.)
`real_gdp_per_capita_real_gdp_per_capita_2023_numeric`	Real gdp per capita 2023 (numeric)	float	0%	1	41600.0
`real_gdp_per_capita_real_gdp_per_capita_2022_text`	Real gdp per capita 2022 (text)	string	0%	1	$41,100 (2022 est.)
`real_gdp_per_capita_real_gdp_per_capita_2022_numeric`	Real gdp per capita 2022 (numeric)	float	0%	1	41100.0
`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	$308.683 billion (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text`	Inflation rate consumer prices 2024 (text)	string	0%	1	2.4% (2024 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric`	Inflation rate consumer prices 2024 (numeric)	float	0%	1	2.4
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text`	Inflation rate consumer prices 2023 (text)	string	0%	1	4.3% (2023 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric`	Inflation rate consumer prices 2023 (numeric)	float	0%	1	4.3
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text`	Inflation rate consumer prices 2022 (text)	string	0%	1	7.8% (2022 est.)
`inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric`	Inflation rate consumer prices 2022 (numeric)	float	0%	1	7.8
`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% (2024 est.)
+119 more extension fields — download the CSV/Parquet to see them all.

PRT OpenFactBook - Energy — 1 rows, 47 columns

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Field details — 47 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`electricity_access_electrification_total_population_numeric`	Electricity access percent	float	SEL	0%	1	100.0
`country_code`	Country code	string	SEL	0%	1	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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
`electricity_access_electrification_total_population_text`	electricity_access_electrification_total_population_text	string	0%	1	100% (2022 est.)
`electricity_installed_generating_capacity_text`	electricity_installed_generating_capacity_text	string	0%	1	25.409 million kW (2023 est.)
`electricity_installed_generating_capacity_numeric`	electricity_installed_generating_capacity_numeric	float	0%	1	25.409
`electricity_consumption_text`	electricity_consumption_text	string	0%	1	50.317 billion kWh (2023 est.)
`electricity_consumption_numeric`	electricity_consumption_numeric	float	0%	1	50.317
`electricity_exports_text`	electricity_exports_text	string	0%	1	3.422 billion kWh (2023 est.)
`electricity_exports_numeric`	electricity_exports_numeric	float	0%	1	3.422
`electricity_imports_text`	electricity_imports_text	string	0%	1	13.656 billion kWh (2023 est.)
`electricity_imports_numeric`	electricity_imports_numeric	float	0%	1	13.656
`electricity_transmission_distribution_losses_text`	electricity_transmission_distribution_losses_text	string	0%	1	5.129 billion kWh (2023 est.)
`electricity_transmission_distribution_losses_numeric`	electricity_transmission_distribution_losses_numeric	float	0%	1	5.129
`electricity_generation_sources_fossil_fuels_text`	electricity_generation_sources_fossil_fuels_text	string	0%	1	25.7% of total installed capacity (2023 est.)
`electricity_generation_sources_fossil_fuels_numeric`	electricity_generation_sources_fossil_fuels_numeric	float	0%	1	25.7
`electricity_generation_sources_solar_text`	electricity_generation_sources_solar_text	string	0%	1	12.6% of total installed capacity (2023 est.)
`electricity_generation_sources_solar_numeric`	electricity_generation_sources_solar_numeric	float	0%	1	12.6
`electricity_generation_sources_wind_text`	electricity_generation_sources_wind_text	string	0%	1	29% of total installed capacity (2023 est.)
`electricity_generation_sources_wind_numeric`	electricity_generation_sources_wind_numeric	float	0%	1	29.0
`electricity_generation_sources_hydroelectricity_text`	electricity_generation_sources_hydroelectricity_text	string	0%	1	24.7% of total installed capacity (2023 est.)
`electricity_generation_sources_hydroelectricity_numeric`	electricity_generation_sources_hydroelectricity_numeric	float	0%	1	24.7
`electricity_generation_sources_geothermal_text`	electricity_generation_sources_geothermal_text	string	0%	1	0.4% of total installed capacity (2023 est.)
`electricity_generation_sources_geothermal_numeric`	electricity_generation_sources_geothermal_numeric	float	0%	1	0.4
`electricity_generation_sources_biomass_and_waste_text`	electricity_generation_sources_biomass_and_waste_text	string	0%	1	7.6% of total installed capacity (2023 est.)
`electricity_generation_sources_biomass_and_waste_numeric`	electricity_generation_sources_biomass_and_waste_numeric	float	0%	1	7.6
`coal_consumption_text`	coal_consumption_text	string	0%	1	7,000 metric tons (2023 est.)
`coal_consumption_numeric`	coal_consumption_numeric	float	0%	1	7000.0
`coal_exports_text`	coal_exports_text	string	0%	1	1 metric tons (2023 est.)
`coal_exports_numeric`	coal_exports_numeric	float	0%	1	1.0
`coal_imports_text`	coal_imports_text	string	0%	1	6,000 metric tons (2023 est.)
`coal_imports_numeric`	coal_imports_numeric	float	0%	1	6000.0
`coal_proven_reserves_text`	coal_proven_reserves_text	string	0%	1	3 million metric tons (2023 est.)
+13 more extension fields — download the CSV/Parquet to see them all.

PRT OpenFactBook - Environment — 1 rows, 46 columns

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Field details — 52 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	43.3
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	36.6
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	67.9
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.44
`waste_and_recycling_municipal_solid_waste_generated_annually_numeric`	Municipal waste kg per capita	float	SEL	0%	1	5.268
`country_code`	Country code	string	SEL	0%	1	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`admin_level`	Admin level	string	SEL	0%	1	national

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

Field Name	Label	Type	Nulls	Unique	Samples
`environmental_issues_text`	environmental_issues_text	string	0%	1	soil erosion; air pollution from industrial and vehicle...
`international_environmental_agreements_party_to_text`	international_environmental_agreements_party_to_text	string	0%	1	Air Pollution, Air Pollution-Heavy Metals, Air...
`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	Air Pollution-Persistent Organic Pollutants, Air...
`climate_text`	climate_text	string	0%	1	maritime temperate; cool and rainy in north, warmer and...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	43.3% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 10.1% (2023 est.)
`land_use_agricultural_land_arable_land_numeric`	land_use_agricultural_land_arable_land_numeric	float	0%	1	10.1
`land_use_agricultural_land_permanent_crops_text`	land_use_agricultural_land_permanent_crops_text	string	0%	1	permanent crops: 9.6% (2023 est.)
`land_use_agricultural_land_permanent_crops_numeric`	land_use_agricultural_land_permanent_crops_numeric	float	0%	1	9.6
`land_use_agricultural_land_permanent_pasture_text`	land_use_agricultural_land_permanent_pasture_text	string	0%	1	permanent pasture: 23.6% (2023 est.)
`land_use_agricultural_land_permanent_pasture_numeric`	land_use_agricultural_land_permanent_pasture_numeric	float	0%	1	23.6
`land_use_forest_text`	land_use_forest_text	string	0%	1	36.6% (2023 est.)
`land_use_other_text`	land_use_other_text	string	0%	1	5.7% (2023 est.)
`land_use_other_numeric`	land_use_other_numeric	float	0%	1	5.7
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	67.9% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.44% annual rate of change (2020-25 est.)
`carbon_dioxide_emissions_total_emissions_text`	carbon_dioxide_emissions_total_emissions_text	string	0%	1	38.272 million metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_total_emissions_numeric`	carbon_dioxide_emissions_total_emissions_numeric	float	0%	1	38.272
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text	string	0%	1	20,000 metric tonnes of CO2 (2023 est.)
`carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric`	carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric	float	0%	1	20000.0
`carbon_dioxide_emissions_from_petroleum_and_other_liquids_text`	carbon_dioxide_emissions_from_petroleum_and_other_liquids_text	string	0%	1	29.525 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	29.525
`carbon_dioxide_emissions_from_consumed_natural_gas_text`	carbon_dioxide_emissions_from_consumed_natural_gas_text	string	0%	1	8.727 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	8.727
`particulate_matter_emissions_text`	particulate_matter_emissions_text	string	0%	1	7.6 micrograms per cubic meter (2019 est.)
`particulate_matter_emissions_numeric`	particulate_matter_emissions_numeric	float	0%	1	7.6
`waste_and_recycling_municipal_solid_waste_generated_annually_text`	waste_and_recycling_municipal_solid_waste_generated_annually_text	string	0%	1	5.268 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	23.5% (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	23.5
+14 more extension fields — download the CSV/Parquet to see them all.

PRT 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	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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	Portuguese (singular and plural)
`nationality_adjective_text`	nationality_adjective_text	string	0%	1	Portuguese
`ethnic_groups_text`	ethnic_groups_text	string	0%	1	Portuguese 95%; citizens from Portugal’s former colonies...
`ethnic_groups_numeric`	ethnic_groups_numeric	float	0%	1	95.0
`source_section`	source_section	string	0%	1	People and Society:ethnic_groups
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT OpenFactBook - Geography — 1 rows, 55 columns

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Field details — 58 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	92090.0
`area_land_numeric`	Area land sqkm	float	SEL	0%	1	91470.0
`area_water_numeric`	Area water sqkm	float	SEL	0%	1	620.0
`land_boundaries_total_numeric`	Land boundary km	float	SEL	0%	1	1224.0
`coastline_numeric`	Coastline km	float	SEL	0%	1	1793.0
`elevation_highest_point_numeric`	Elevation max m	float	SEL	0%	1	2351.0
`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	43.3
`land_use_forest_numeric`	Forest area percent	float	SEL	0%	1	36.6
`irrigated_land_numeric`	Irrigated land sqkm	float	SEL	0%	1	5662.0
`country_code`	Country code	string	SEL	0%	1	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (45) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`location_text`	location_text	string	0%	1	Southwestern Europe, bordering the North Atlantic Ocean,...
`geographic_coordinates_text`	geographic_coordinates_text	string	0%	1	39 30 N, 8 00 W
`geographic_coordinates_numeric`	geographic_coordinates_numeric	float	0%	1	39.0
`map_references_text`	map_references_text	string	0%	1	Europe
`area_total_text`	area_total_text	string	0%	1	92,090 sq km
`area_land_text`	area_land_text	string	0%	1	91,470 sq km
`area_water_text`	area_water_text	string	0%	1	620 sq km
`area_note`	area_note	string	0%	1	note: includes Azores and Madeira Islands
`area_comparative_text`	area_comparative_text	string	0%	1	slightly smaller than Virginia
`land_boundaries_total_text`	land_boundaries_total_text	string	0%	1	1,224 km
`land_boundaries_border_countries_text`	land_boundaries_border_countries_text	string	0%	1	Spain 1,224 km
`land_boundaries_border_countries_numeric`	land_boundaries_border_countries_numeric	float	0%	1	1224.0
`coastline_text`	coastline_text	string	0%	1	1,793 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-m depth or to the depth of exploitation
`maritime_claims_continental_shelf_numeric`	maritime_claims_continental_shelf_numeric	float	0%	1	200.0
`climate_text`	climate_text	string	0%	1	maritime temperate; cool and rainy in north, warmer and...
`terrain_text`	terrain_text	string	0%	1	the west-flowing Tagus River divides the country: the...
`elevation_highest_point_text`	elevation_highest_point_text	string	0%	1	Ponta do Pico (Pico or Pico Alto) on Ilha do Pico in the...
`elevation_lowest_point_text`	elevation_lowest_point_text	string	0%	1	Atlantic Ocean 0 m
`elevation_mean_elevation_text`	elevation_mean_elevation_text	string	0%	1	372 m
`elevation_mean_elevation_numeric`	elevation_mean_elevation_numeric	float	0%	1	372.0
`natural_resources_text`	natural_resources_text	string	0%	1	fish, forests (cork), iron ore, copper, zinc, tin,...
`land_use_agricultural_land_text`	land_use_agricultural_land_text	string	0%	1	43.3% (2023 est.)
`land_use_agricultural_land_arable_land_text`	land_use_agricultural_land_arable_land_text	string	0%	1	arable land: 10.1% (2023 est.)
+15 more extension fields — download the CSV/Parquet to see them all.

PRT OpenFactBook - Government — 1 rows, 81 columns

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Field details — 110 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	PRT
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (108) — 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	Portuguese Republic
`country_name_conventional_short_form_text`	country_name_conventional_short_form_text	string	0%	1	Portugal
`country_name_local_long_form_text`	country_name_local_long_form_text	string	0%	1	Republica Portuguesa
`country_name_local_short_form_text`	country_name_local_short_form_text	string	0%	1	Portugal
`country_name_etymology_text`	country_name_etymology_text	string	0%	1	name derives from the Roman designation "Portus Cale,"...
`government_type_text`	government_type_text	string	0%	1	semi-presidential republic
`capital_name_text`	capital_name_text	string	0%	1	Lisbon
`capital_geographic_coordinates_text`	capital_geographic_coordinates_text	string	0%	1	38 43 N, 9 08 W
`capital_geographic_coordinates_numeric`	capital_geographic_coordinates_numeric	float	0%	1	38.0
`capital_time_difference_text`	capital_time_difference_text	string	0%	1	UTC 0 (5 hours ahead of Washington, DC, during Standard Time)
`capital_time_difference_numeric`	capital_time_difference_numeric	float	0%	1	0.0
`capital_daylight_saving_time_text`	capital_daylight_saving_time_text	string	0%	1	+1hr, begins last Sunday in March; ends last Sunday in October
`capital_daylight_saving_time_numeric`	capital_daylight_saving_time_numeric	float	0%	1	1.0
`capital_time_zone_note_text`	capital_time_zone_note_text	string	0%	1	Portugal has two time zones, including the Azores (UTC-1)
`capital_time_zone_note_numeric`	capital_time_zone_note_numeric	float	0%	1	-1.0
`capital_etymology_text`	capital_etymology_text	string	0%	1	the origin of the name is unclear; some trace it back to...
`administrative_divisions_text`	administrative_divisions_text	string	0%	1	18 districts (distritos, singular - distrito) and 2...
`administrative_divisions_numeric`	administrative_divisions_numeric	float	0%	1	18.0
`legal_system_text`	legal_system_text	string	0%	1	civil law system; Constitutional Court reviews legislative acts
`constitution_history_text`	constitution_history_text	string	0%	1	several previous; latest adopted 2 April 1976, effective...
`constitution_history_numeric`	constitution_history_numeric	float	0%	1	2.0
`constitution_amendment_process_text`	constitution_amendment_process_text	string	0%	1	proposed by the Assembly of the Republic; adoption...
`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	no
`citizenship_citizenship_by_descent_only_text`	Citizenship by descent only (text)	string	0%	1	at least one parent must be a citizen of Portugal
`citizenship_dual_citizenship_recognized_text`	citizenship_dual_citizenship_recognized_text	string	0%	1	yes
`citizenship_residency_requirement_for_naturalization_text`	citizenship_residency_requirement_for_naturalization_text	string	0%	1	10 years; 6 years if from a Portuguese-speaking country
`citizenship_residency_requirement_for_naturalization_numeric`	citizenship_residency_requirement_for_naturalization_numeric	float	0%	1	10.0
`suffrage_text`	suffrage_text	string	0%	1	18 years of age; universal
`suffrage_numeric`	suffrage_numeric	float	0%	1	18.0
+78 more extension fields — download the CSV/Parquet to see them all.

PRT 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	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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	A global maritime power during the 15th and 16th...
`background_numeric`	background_numeric	float	0%	1	15.0
`source_section`	source_section	string	0%	1	Introduction
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT OpenFactBook - Languages — 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	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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
`languages_text`	languages_text	string	0%	1	Portuguese (official), Mirandese (official, but locally used)
`source_section`	source_section	string	0%	1	People and Society:languages
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT 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	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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	71,166 (2024 est.)
`refugees_and_internally_displaced_persons_refugees_numeric`	refugees_and_internally_displaced_persons_refugees_numeric	float	0%	1	71166.0
`refugees_and_internally_displaced_persons_idps_text`	refugees_and_internally_displaced_persons_idps_text	string	0%	1	21 (2024 est.)
`refugees_and_internally_displaced_persons_idps_numeric`	refugees_and_internally_displaced_persons_idps_numeric	float	0%	1	21.0
`refugees_and_internally_displaced_persons_stateless_persons_text`	refugees_and_internally_displaced_persons_stateless_persons_text	string	0%	1	31 (2024 est.)
`refugees_and_internally_displaced_persons_stateless_persons_numeric`	refugees_and_internally_displaced_persons_stateless_persons_numeric	float	0%	1	31.0
`source_section`	source_section	string	0%	1	Transnational Issues:migration
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT 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	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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	Portuguese Armed Forces (Forças Armadas Portuguesa):...
`military_and_security_forces_numeric`	military_and_security_forces_numeric	float	0%	1	2025.0
`military_expenditures_military_expenditures_2025_text`	Military expenditures 2025 (text)	string	0%	1	2% of GDP (2025 est.)
`military_expenditures_military_expenditures_2025_numeric`	Military expenditures 2025 (numeric)	float	0%	1	2.0
`military_expenditures_military_expenditures_2024_text`	Military expenditures 2024 (text)	string	0%	1	1.6% of GDP (2024 est.)
`military_expenditures_military_expenditures_2024_numeric`	Military expenditures 2024 (numeric)	float	0%	1	1.6
`military_expenditures_military_expenditures_2023_text`	Military expenditures 2023 (text)	string	0%	1	1.3% of GDP (2023 est.)
`military_expenditures_military_expenditures_2023_numeric`	Military expenditures 2023 (numeric)	float	0%	1	1.3
`military_expenditures_military_expenditures_2022_text`	Military expenditures 2022 (text)	string	0%	1	1.4% of GDP (2022 est.)
`military_expenditures_military_expenditures_2022_numeric`	Military expenditures 2022 (numeric)	float	0%	1	1.4
`military_expenditures_military_expenditures_2021_text`	Military expenditures 2021 (text)	string	0%	1	1.5% of GDP (2021 est.)
`military_expenditures_military_expenditures_2021_numeric`	Military expenditures 2021 (numeric)	float	0%	1	1.5
`military_and_security_service_personnel_strengths_text`	military_and_security_service_personnel_strengths_text	string	0%	1	approximately 25,000 active-duty military personnel (2025)
`military_and_security_service_personnel_strengths_numeric`	military_and_security_service_personnel_strengths_numeric	float	0%	1	25000.0
`military_equipment_inventories_and_acquisitions_text`	military_equipment_inventories_and_acquisitions_text	string	0%	1	the military's inventory includes mostly European- 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	18-30 years of age for voluntary or contract military...
`military_service_age_and_obligation_numeric`	military_service_age_and_obligation_numeric	float	0%	1	18.0
`military_deployments_text`	military_deployments_text	string	0%	1	the Portuguese Armed Forces have more than 1,100...
`military_deployments_numeric`	military_deployments_numeric	float	0%	1	1100.0
`military_note_text`	military_note_text	string	0%	1	the Portuguese military is responsible for external...
`military_note_numeric`	military_note_numeric	float	0%	1	1949.0
`source_section`	source_section	string	0%	1	Military and Security
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT OpenFactBook - People And Society — 1 rows, 127 columns

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Field details — 140 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`population_total_numeric`	Population count	float	SEL	0%	1	10194277.0
`population_male_numeric`	Population male	float	SEL	0%	1	4831166.0
`population_female_numeric`	Population female	float	SEL	0%	1	5363111.0
`age_structure_0_14_years_numeric`	Population 0 14 percent	float	SEL	0%	1	12.7
`age_structure_15_64_years_numeric`	Population 15 64 percent	float	SEL	0%	1	65.0
`age_structure_65_years_and_over_numeric`	Population 65 plus percent	float	SEL	0%	1	22.3
`dependency_ratios_total_dependency_ratio_numeric`	Total dependency ratio	float	SEL	0%	1	54.3
`dependency_ratios_youth_dependency_ratio_numeric`	Youth dependency ratio	float	SEL	0%	1	19.3
`dependency_ratios_elderly_dependency_ratio_numeric`	Elderly dependency ratio	float	SEL	0%	1	35.0
`median_age_total_numeric`	Median age	float	SEL	0%	1	46.8
`population_growth_rate_numeric`	Population growth rate percent	float	SEL	0%	1	-0.11
`birth_rate_numeric`	Birth rate per 1000	float	SEL	0%	1	8.03
`death_rate_numeric`	Death rate per 1000	float	SEL	0%	1	10.92
`net_migration_rate_numeric`	Net migration per 1000	float	SEL	0%	1	1.78
`urbanization_urban_population_numeric`	Urban population percent	float	SEL	0%	1	67.9
`urbanization_rate_of_urbanization_numeric`	Urban growth rate percent	float	SEL	0%	1	0.44
`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	0.9
`maternal_mortality_ratio_numeric`	Maternal mortality per 100k	float	SEL	0%	1	15.0
`infant_mortality_rate_total_numeric`	Infant mortality per 1000	float	SEL	0%	1	2.4
`life_expectancy_at_birth_total_population_numeric`	Life expectancy	float	SEL	0%	1	81.9
`total_fertility_rate_numeric`	Fertility rate	float	SEL	0%	1	1.46
`gross_reproduction_rate_numeric`	Gross reproduction rate	float	SEL	0%	1	0.71
`physician_density_numeric`	Physicians per 1000	float	SEL	0%	1	5.85
`hospital_bed_density_numeric`	Hospital beds per 1000	float	SEL	0%	1	3.5
`country_code`	Country code	string	SEL	0%	1	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (112) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`population_total_text`	population_total_text	string	0%	1	10,194,277 (2025 est.)
`population_male_text`	population_male_text	string	0%	1	4,831,166
`population_female_text`	population_female_text	string	0%	1	5,363,111
`age_structure_0_14_years_text`	age_structure_0_14_years_text	string	0%	1	12.7% (male 662,419/female 631,284)
`age_structure_15_64_years_text`	age_structure_15_64_years_text	string	0%	1	65% (male 3,264,766/female 3,371,087)
`age_structure_65_years_and_over_text`	age_structure_65_years_and_over_text	string	0%	1	22.3% (2024 est.) (male 908,578/female 1,369,043)
`dependency_ratios_total_dependency_ratio_text`	dependency_ratios_total_dependency_ratio_text	string	0%	1	54.3 (2025 est.)
`dependency_ratios_youth_dependency_ratio_text`	dependency_ratios_youth_dependency_ratio_text	string	0%	1	19.3 (2025 est.)
`dependency_ratios_elderly_dependency_ratio_text`	dependency_ratios_elderly_dependency_ratio_text	string	0%	1	35 (2025 est.)
`dependency_ratios_potential_support_ratio_text`	dependency_ratios_potential_support_ratio_text	string	0%	1	2.9 (2025 est.)
`dependency_ratios_potential_support_ratio_numeric`	dependency_ratios_potential_support_ratio_numeric	float	0%	1	2.9
`median_age_total_text`	median_age_total_text	string	0%	1	46.8 years (2025 est.)
`median_age_male_text`	median_age_male_text	string	0%	1	44.3 years
`median_age_male_numeric`	median_age_male_numeric	float	0%	1	44.3
`median_age_female_text`	median_age_female_text	string	0%	1	48.3 years
`median_age_female_numeric`	median_age_female_numeric	float	0%	1	48.3
`population_growth_rate_text`	population_growth_rate_text	string	0%	1	-0.11% (2025 est.)
`birth_rate_text`	birth_rate_text	string	0%	1	8.03 births/1,000 population (2025 est.)
`death_rate_text`	death_rate_text	string	0%	1	10.92 deaths/1,000 population (2025 est.)
`net_migration_rate_text`	net_migration_rate_text	string	0%	1	1.78 migrant(s)/1,000 population (2025 est.)
`population_distribution_text`	population_distribution_text	string	0%	1	concentrations are primarily along or near the Atlantic...
`urbanization_urban_population_text`	urbanization_urban_population_text	string	0%	1	67.9% of total population (2023)
`urbanization_rate_of_urbanization_text`	urbanization_rate_of_urbanization_text	string	0%	1	0.44% annual rate of change (2020-25 est.)
`major_urban_areas_population_text`	major_urban_areas_population_text	string	0%	1	3.001 million LISBON (capital), 1.325 million Porto (2023)
`major_urban_areas_population_numeric`	major_urban_areas_population_numeric	float	0%	1	3.001
`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	1.05 male(s)/female
`sex_ratio_0_14_years_numeric`	sex_ratio_0_14_years_numeric	float	0%	1	1.05
`sex_ratio_15_64_years_text`	sex_ratio_15_64_years_text	string	0%	1	0.97 male(s)/female
`sex_ratio_15_64_years_numeric`	sex_ratio_15_64_years_numeric	float	0%	1	0.97
+82 more extension fields — download the CSV/Parquet to see them all.

PRT OpenFactBook - Religions — 1 rows, 6 columns

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Field details — 20 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	Country code	string	SEL	0%	1	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`admin_level`	Admin level	string	SEL	0%	1	national
`composition_religion_muslim_pct_synth`	Muslim	numeric	CCL	0%	-	-
`composition_ethnicity_primary_label_synth`	Portuguese ; citizens from Portugal’s former colonies in Africa	string	CCL	0%	-	Portuguese ; citizens from Portugal’s former colonies in Africa

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	Catholic 68.1%, not applicable 12.9%, no religion 12.0%,...
`religions_numeric`	religions_numeric	float	0%	1	68.1
`source_section`	source_section	string	0%	1	People and Society:religions
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

Pending (11) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`composition_religion_catholic_pct_synth`	Catholic	numeric	0%	-	68.1
`composition_religion_not_applicable_pct_synth`	not applicable	numeric	0%	-	12.9
`composition_religion_no_religion_pct_synth`	no religion	numeric	0%	-	12.0
`composition_religion_no_response_pct_synth`	no response	numeric	0%	-	2.2
`composition_religion_protestant_pct_synth`	Protestant	numeric	0%	-	1.8
`composition_religion_other_1_0_other_christians_pct_synth`	other 1.0%; : other Christians	numeric	0%	-	0.5
`composition_religion_orthodox_pct_synth`	Orthodox	numeric	0%	-	-
`composition_ethnicity_portuguese_citizens_from_portugal_s_former_colonies_in_africa_pct_synth`	Portuguese ; citizens from Portugal’s former colonies in Africa	numeric	0%	-	95.0
`composition_ethnicity_asia_pct_synth`	Asia	numeric	0%	-	-
`composition_ethnicity_south_america_brazilian_and_other_foreign_born_pct_synth`	South America (Brazilian) and other foreign born	numeric	0%	-	5.0
`composition_ethnicity_primary_share_pct_synth`	Portuguese ; citizens from Portugal’s former colonies in Africa	numeric	0%	-	95.0

PRT 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	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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	Portuguese Space Agency (Agência Espacial Portuguesa;...
`space_agency_agencies_numeric`	space_agency_agencies_numeric	float	0%	1	2019.0
`space_launch_site_s_text`	space_launch_site_s_text	string	0%	1	in August 2025, Portugal granted a license to a...
`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	largely focuses on the acquisition and operation of...
`space_program_overview_numeric`	space_program_overview_numeric	float	0%	1	2025.0
`key_space_program_milestones_text`	key_space_program_milestones_text	string	0%	1	1993 - first technology demonstrator microsatellite...
`key_space_program_milestones_numeric`	key_space_program_milestones_numeric	float	0%	1	1993.0
`source_section`	source_section	string	0%	1	Space
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT 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	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`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	Islamic State of Iraq and ash-Sham (ISIS)
`source_section`	source_section	string	0%	1	Terrorism
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT OpenFactBook - Transportation — 1 rows, 27 columns

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Field details — 29 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	128.0
`country_code`	Country code	string	SEL	0%	1	PRT
`country_name`	Country name	string	SEL	0%	1	Portugal
`admin_level`	Admin level	string	SEL	0%	1	national

Extension Fields (25) — 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	CR, CS
`airports_text`	airports_text	string	0%	1	128 (2025)
`heliports_text`	heliports_text	string	0%	1	65 (2025)
`heliports_numeric`	heliports_numeric	float	0%	1	65.0
`railways_total_text`	railways_total_text	string	0%	1	2,526 km (2020) 1,696 km electrified
`railways_total_numeric`	railways_total_numeric	float	0%	1	2526.0
`merchant_marine_total_text`	merchant_marine_total_text	string	0%	1	888 (2023)
`merchant_marine_total_numeric`	merchant_marine_total_numeric	float	0%	1	888.0
`merchant_marine_by_type_text`	merchant_marine_by_type_text	string	0%	1	bulk carrier 110, container ship 299, general cargo 191,...
`merchant_marine_by_type_numeric`	merchant_marine_by_type_numeric	float	0%	1	110.0
`ports_total_ports_text`	ports_total_ports_text	string	0%	1	18 (2024)
`ports_total_ports_numeric`	ports_total_ports_numeric	float	0%	1	18.0
`ports_large_text`	ports_large_text	float	0%	1	3
`ports_large_numeric`	ports_large_numeric	float	0%	1	3.0
`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	4
`ports_small_numeric`	ports_small_numeric	float	0%	1	4.0
`ports_very_small_text`	ports_very_small_text	float	0%	1	9
`ports_very_small_numeric`	ports_very_small_numeric	float	0%	1	9.0
`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	Aveiro, Funchal, Lagos, Lisboa, Sines
`source_section`	source_section	string	0%	1	Transportation
`source_profile_path`	source_profile_path	string	0%	1	europe/po.json

PRT Glottolog Language Catalog PRT-GLOTTOLOG Language

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

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

0 Admin 0 — 1 table(s)

PRT Glottolog - Languages — 11 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%	11	astu1245, extr1243, fala1241, gali1258, mind1263
`name`	Name	string	CCL	0%	11	Asturian-Leonese-Cantabrian, Extremaduran, Fala,...
`iso639_3`	Iso639 3	string	CCL	0%	11	ast, ext, fax, glg, drc
`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%	3	indo1319, indo1319, indo1319, indo1319, indo1319
`parent_name`	Parent name	string	CCL	100%	-	-
`parent_glottocode`	Parent glottocode	string	CCL	0%	7	astu1244, cast1243, gali1263, gali1263, gali1263
`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%	7	8, 3, 3, 0, 0

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

Field Name	Label	Type	Nulls	Unique	Samples
`latitude`	latitude	float	0%	11	42.4181, 39.1926, 40.1651, 42.2446, 39.5144
`longitude`	longitude	float	0%	11	-6.02227, -6.10179, -6.91452, -7.5343, -8.68866
`country_codes`	Country codes	string	0%	5	['ES', 'PT'], ['ES', 'PT'], ['ES', 'PT'], ['ES', 'PT'], ['PT']
`classification`	classification	string	0%	1	[], [], [], [], []

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

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

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

Locality Locality — 1 table(s)

PRT GHS-UCDB - Cities (locality) — 9 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%	9	Lisbon, Porto, Almada, Barreiro, Funchal
`country_code`	Country code	string	SEL	0%	1	PRT, PRT, PRT, PRT, PRT
`population`	Population count	integer	SEL	0%	9	1974574, 1060250, 219477, 143987, 135362

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

Field Name	Label	Type	Nulls	Unique	Samples
`city_id`	city_id	integer	0%	9	231, 1058, 392, 679, 44
`name_alternates`	name_alternates	string	100%	-	-
`country_name`	country_name	string	0%	1	Portugal, Portugal, Portugal, Portugal, Portugal
`population_year`	population_year	integer	0%	1	2025, 2025, 2025, 2025, 2025
`latitude`	latitude	string	100%	-	-
`longitude`	longitude	string	100%	-	-
`region`	region	string	100%	-	-

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

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

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0 Admin 0 — 2 table(s)

PRT NGA GNS - Language — 5 rows, 9 columns

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

Standards-Aligned Fields (9)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	PRT, PRT, PRT, PRT, PRT
`gns_language_code`	gns_language_code	string	CCL	0%	5	por, eng, spa, deu, cat
`gns_language_name`	gns_language_name	string	CCL	0%	5	Portuguese, English, Spanish, German, Catalan; Valencian
`gns_toponym_count`	gns_toponym_count	integer	CCL	0%	4	163, 71, 3, 1, 1
`gns_toponym_share_pct`	gns_toponym_share_pct	float	CCL	0%	4	68.2008, 29.7071, 1.2552, 0.4184, 0.4184
`gns_non_roman_toponym_count`	gns_non_roman_toponym_count	integer	CCL	0%	1	0, 0, 0, 0, 0
`gns_dominant_script_code`	gns_dominant_script_code	string	CCL	0%	1	, , , ,
`gns_dominant_script_name`	gns_dominant_script_name	string	CCL	0%	1	, , , ,
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0, 0, 0, 0, 0

PRT NGA GNS - Summary — 1 rows, 29 columns

Loading data…

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

Standards-Aligned Fields (7)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`country_code`	country_code	string	SEL	0%	1	PRT
`admin_level`	admin_level	integer	SEL	0%	1	0
`gns_country_name`	gns_country_name	string	SEL	0%	1	Portugal
`gns_language_count`	gns_language_count	integer	CCL	0%	1	5
`gns_script_count`	gns_script_count	integer	CCL	0%	1	0
`gns_endonym_share_pct`	gns_endonym_share_pct	float	CCL	0%	1	99.9458
`gns_non_roman_name_count`	gns_non_roman_name_count	integer	CCL	0%	1	0

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	25807
`gns_feature_count`	gns_feature_count	integer	0%	1	23850
`gns_endonym_count`	gns_endonym_count	integer	0%	1	25793
`gns_exonym_count`	gns_exonym_count	integer	0%	1	14
`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	17381
`gns_feature_count_populated_places`	gns_feature_count_populated_places	integer	0%	1	16464
`gns_name_count_spot_features`	gns_name_count_spot_features	integer	0%	1	347
`gns_feature_count_spot_features`	gns_feature_count_spot_features	integer	0%	1	295
`gns_name_count_hypsographic`	gns_name_count_hypsographic	integer	0%	1	2718
`gns_feature_count_hypsographic`	gns_feature_count_hypsographic	integer	0%	1	2392
`gns_name_count_hydrographic`	gns_name_count_hydrographic	integer	0%	1	4626
`gns_feature_count_hydrographic`	gns_feature_count_hydrographic	integer	0%	1	4298
`gns_name_count_administrative_regions`	gns_name_count_administrative_regions	integer	0%	1	639
`gns_feature_count_administrative_regions`	gns_feature_count_administrative_regions	integer	0%	1	310
`gns_name_count_vegetation`	gns_name_count_vegetation	integer	0%	1	83
`gns_feature_count_vegetation`	gns_feature_count_vegetation	integer	0%	1	80
`gns_name_count_transportation_networks`	gns_name_count_transportation_networks	integer	0%	1	2
`gns_feature_count_transportation_networks`	gns_feature_count_transportation_networks	integer	0%	1	2
`gns_name_count_areas_localities`	gns_name_count_areas_localities	integer	0%	1	11
`gns_feature_count_areas_localities`	gns_feature_count_areas_localities	integer	0%	1	9

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

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

1 rows × 257 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

PRT Inform - Risk Index — 1 rows, 257 columns

Loading data…

Field details — 257 fields (type, nulls, unique, samples)

Pending (257) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	PRT
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	0.0
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.0857142857142857
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	0.0
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	91470.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.15
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.0225815153249565
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	2.8
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	0.587155342102051
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	1.7
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	0.5
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	0.1
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	0.0
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	0.2
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	0.0
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	0.5
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	0.2
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	0.2
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	0.0
`inform_cc_inf_com`	Communication	float	0%	1	1.5
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	3.9
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	0.0
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	0.7
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	1.2
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	0.0
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	0.1
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	0.0
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	0.0
`inform_institutional_capacity`	Institutional	float	0%	1	2.7
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	1.7
+227 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
Portuguese (por)	163	68.2%	—
English (eng)	71	29.7%	—
Spanish (spa)	3	1.3%	—
German (deu)	1	0.4%	—
Catalan; Valencian (cat)	1	0.4%	—

Source	Type	Access
Eurostat	official_nso	api
Google	commercial	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
NGA GEOnet Names Server (GNS)	official_government	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