| 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
population_men |
population men | integer | 0% | - | 5020648 |
population_women |
population women | integer | 0% | - | 5495973 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PRT, PRT, PRT, PRT, PRT |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 8 | Portugal, Alentejo, Algarve, Area Metropolitana de Lisboa, Centro |
human_development_index |
Human development index | float | SEL | 0% | 77 | 0.773, 0.764, 0.766, 0.813, 0.769 |
health_index |
Health index | float | SEL | 0% | 58 | 0.835, 0.856, 0.844, 0.845, 0.856 |
education_index |
Education index | float | SEL | 0% | 84 | 0.658, 0.629, 0.631, 0.707, 0.653 |
income_index |
Income index | float | SEL | 0% | 66 | 0.839, 0.827, 0.845, 0.899, 0.813 |
life_expectancy |
Life expectancy | float | SEL | 0% | 88 | 74.3, 75.65, 74.84, 74.94, 75.65 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 91 | 9.865, 9.674, 9.6, 10.52, 9.651 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 13 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 1 | subnational, subnational, subnational, subnational, subnational |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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% | - | - |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .pt |
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 |
| 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_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 |
| 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 |
| 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. | |||||
| 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 |
| 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. | |||||
| 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 |
| 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. | |||||
| 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 |
| 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 |
| 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 |
| 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. | |||||
| 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 |
| 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. | |||||
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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. | |||||
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 |
| 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 | CR, CS |
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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
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 |
| 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% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 5 | ['ES', 'PT'], ['ES', 'PT'], ['ES', 'PT'], ['ES', 'PT'], ['PT'] |
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 |
| 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 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 |
| 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% | - | - |
| 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 |
| 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 |
| 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | PRT |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 1 | Portuguese |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 1 | IRRELEVANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 1 | 1.0 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 1 | 23501000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021 |
group_relevance |
group_relevance | string | 0% | 1 |
| 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. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| 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% | — |
23,850 distinct features ·
5 languages ·
0 scripts ·
14 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| Eurostat | official_nso | api |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| commercial | bulk_download | |
| Ethnic Power Relations Dataset | academic | bulk_download |
| 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 |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.