| 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 | GNQ, GNQ, GNQ, GNQ, GNQ |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 6 | Total, Annobon, Bioko, Centro Sur, Kie Ntem, Litoral |
human_development_index |
Human development index | float | SEL | 0% | 87 | 0.488, 0.556, 0.445, 0.451, 0.511 |
health_index |
Health index | float | SEL | 0% | 83 | 0.514, 0.513, 0.523, 0.506, 0.549 |
education_index |
Education index | float | SEL | 0% | 93 | 0.339, 0.426, 0.285, 0.31, 0.356 |
income_index |
Income index | float | SEL | 0% | 88 | 0.669, 0.786, 0.59, 0.585, 0.684 |
life_expectancy |
Life expectancy | float | SEL | 0% | 98 | 53.4, 53.34, 53.98, 52.89, 55.69 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 5.08, 7.645, 3.516, 4.191, 5.622 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 17 | 2000, 2000, 2000, 2000, 2000 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GQ, GQ, GQ, GQ, GQ |
population_count |
Population count | float | SEL | 2% | 65 | 269807.0, 274896.0, 280286.0, 285965.0, 291942.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 42.742, 43.008, 43.275, 43.54, 43.805 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 8% | 61 | 132.911859077276, 154.797498528375, 177.826417576094,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 99% | 1 | 88.3099975585938 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 36% | 42 | 200.9, 196.9, 192.7, 189.1, 186.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 76.8, 50.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Equatorial Guinea, Equatorial Guinea, Equatorial Guinea,... |
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 | GQ, GQ, GQ, GQ, GQ |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 42.742, 43.008, 43.275, 43.54, 43.805 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 35 | 49.9, 49.6, 49.4, 49.2, 49.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 36% | 42 | 200.9, 196.9, 192.7, 189.1, 186.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 38 | 658.0, 666.0, 672.0, 675.0, 688.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 60 | 5.653, 5.661, 5.673, 5.69, 5.711 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 40.375, 40.264, 40.22, 40.247, 40.336 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 22.857, 22.592, 22.336, 22.093, 21.862 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 88% | 8 | 0.167, 0.086, 0.281, 0.208, 0.246 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 94% | 4 | 4.99603176116943, 2.80299997329712, 1.9, 2.1 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 39% | 30 | 3.0, 3.0, 10.0, 19.0, 48.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 1.22260201, 1.32559299, 2.88730073, 1.97185338, 1.58463597 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Equatorial Guinea, Equatorial Guinea, Equatorial Guinea,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 1.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 50.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .gq |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 60.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
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 | 11,000 (2022 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 11000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 1 (2022 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 893,441 (2022 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 893441.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 50 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | the state maintains control of broadcast media; 1... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 1.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 60% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 2,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 2000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ek.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 | 15500.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 12.766 |
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
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 | growing CEMAC economy and new OPEC member; large oil and... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $29.248 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 | 29.248 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $28.985 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 | 28.985 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $30.539 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 | 30.539 |
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 | 0.9% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 0.9 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -5.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -5.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 3.2% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.2 |
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 | $15,500 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $15,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 15700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $16,900 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 16900.0 |
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 | $12.766 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 4.8% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 4.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_text |
Inflation rate consumer prices 2021 (text) | string | 0% | 1 | -0.1% (2021 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2021_numeric |
Inflation rate consumer prices 2021 (numeric) | float | 0% | 1 | -0.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_text |
Inflation rate consumer prices 2020 (text) | string | 0% | 1 | 4.8% (2020 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2020_numeric |
Inflation rate consumer prices 2020 (numeric) | float | 0% | 1 | 4.8 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +107 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 | 67.0 |
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
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 | 67% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 89.8% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 89.8 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 1.4% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 1.4 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 349,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 349000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 1.402 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 1.402 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 170.527 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 170.527 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 68.6% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 68.6 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 31.4% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 31.4 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 8 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 8.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 98,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 98000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 6,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 6000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 1.1 billion barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 1.1 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 6.013 billion cubic meters (2023 est.) |
natural_gas_production_numeric |
natural_gas_production_numeric | float | 0% | 1 | 6.013 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 2.332 billion cubic meters (2023 est.) |
natural_gas_consumption_numeric |
natural_gas_consumption_numeric | float | 0% | 1 | 2.332 |
natural_gas_exports_text |
natural_gas_exports_text | string | 0% | 1 | 3.63 billion cubic meters (2023 est.) |
natural_gas_exports_numeric |
natural_gas_exports_numeric | float | 0% | 1 | 3.63 |
natural_gas_proven_reserves_text |
natural_gas_proven_reserves_text | string | 0% | 1 | 139.007 billion cubic meters (2021 est.) |
| +5 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 | 3.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 86.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 74.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.62 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 198400.0 |
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
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 | deforestation (agricultural expansion, fires, and... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_signed_but_not_ratified_text |
international_environmental_agreements_signed_but_not_ratified_text | string | 0% | 1 | Comprehensive Nuclear Test Ban |
climate_text |
climate_text | string | 0% | 1 | tropical; always hot, humid |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.2 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 86.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 9.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 9.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 74.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.62% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 5.471 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 5.471 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 1 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 1.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 896,000 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 | 896000.0 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 4.575 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 | 4.575 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 26.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 26.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 129.8 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 129.8 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 0.4 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 0.4 |
| +17 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 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
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 | Equatorial Guinean(s) or Equatoguinean(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Equatorial Guinean or Equatoguinean |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Fang 78.1%, Bubi 9.4%, Ndowe 2.8%, Nanguedambo 2.7%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 78.1 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ek.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 28051.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 28051.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 0.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 528.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 296.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3008.0 |
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 | 3.7 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 86.4 |
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Central Africa, bordering the Bight of Biafra, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 2 00 N, 10 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 2.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 28,051 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 28,051 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 0 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Maryland |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 528 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Cameroon 183 km; Gabon 345 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 183.0 |
coastline_text |
coastline_text | string | 0% | 1 | 296 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_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 |
climate_text |
climate_text | string | 0% | 1 | tropical; always hot, humid |
terrain_text |
terrain_text | string | 0% | 1 | coastal plains rise to interior hills; islands are volcanic |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Pico Basile 3,008 m |
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 | 577 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 577.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, natural gas, timber, gold, bauxite, diamonds,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 3.7% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.2% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.2 |
| +10 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 | GNQ |
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 | Republic of Equatorial Guinea |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Equatorial Guinea |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republica de Guinea Ecuatorial (Spanish)/ République de... |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Guinea Ecuatorial (Spanish)/Guinée équatoriale (French) |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Spanish Guinea |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country is named for the Guinea region of West... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Malabo; note - Malabo is on the island of Bioko; some... |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 3 45 N, 8 47 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 3.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+1 (6 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | English settlers who founded the city in 1827 named it... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1827.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 8 provinces (provincias, singular - provincia); Annobon,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 8.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of civil and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1968, 1973, 1982; approved by referendum 17... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1968.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or supported... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction; accepts ICCt jurisdiction |
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 Equatorial Guinea |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 10 years |
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 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President OBIANG Nguema Mbasogo (since 3 August 1979) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 3.0 |
| +84 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 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Equatorial Guinea consists of a continental territory... |
background_numeric |
background_numeric | float | 0% | 1 | 1000.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ek.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Spanish (official) 67.6%, other (includes Fang, Bubi,... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 67.6 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | La Libreta Informativa del Mundo, la fuente... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ek.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
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 | 5 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 5.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ek.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
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 | Equatorial Guinea Armed Forces (Fuerzas Armadas de... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1% of GDP (2024) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.6% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.6 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.3% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.6% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.6 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 2,000 active Armed Forces, including Gendarmerie (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 2000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FAGE is armed with mostly older (typically... |
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 | 18-25 for voluntary military service; selective... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Armed Forces of Equatorial Guinea (FAGE) are... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ek.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 1795834.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 962385.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 833449.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 35.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 59.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 5.0 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 68.4 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 60.0 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 8.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 22.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 3.1 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 28.55 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 8.81 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 11.29 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 74.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.62 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.16 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 174.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 76.9 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 63.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 4.05 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.99 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.15 |
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
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 | 1,795,834 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 962,385 |
population_female_text |
population_female_text | string | 0% | 1 | 833,449 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 35.6% (male 330,636/female 309,528) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 59.4% (male 585,139/female 481,121) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 5% (2024 est.) (male 46,610/female 42,800) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 68.4 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 60 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 8.4 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 11.9 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 11.9 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 22.3 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 22.7 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 22.7 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 21.5 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 21.5 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 3.1% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 28.55 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 8.81 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 11.29 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the two large cities are Bata on the mainland and the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 74.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.62% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 297,000 MALABO (capital) (2018) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 297000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.07 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.07 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.22 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.22 |
| +35 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 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 2.0 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 5.0 |
composition_ethnicity_primary_label_synth |
Fang | string | CCL | 0% | - | Fang |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 88%, Protestant 5%, Muslim 2%, other 5%... |
religions_numeric |
religions_numeric | float | 0% | 1 | 88.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ek.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 88.0 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 5.0 |
composition_ethnicity_fang_pct_synth |
Fang | numeric | 0% | - | 78.1 |
composition_ethnicity_bubi_pct_synth |
Bubi | numeric | 0% | - | 9.4 |
composition_ethnicity_ndowe_pct_synth |
Ndowe | numeric | 0% | - | 2.8 |
composition_ethnicity_nanguedambo_pct_synth |
Nanguedambo | numeric | 0% | - | 2.7 |
composition_ethnicity_bisio_pct_synth |
Bisio | numeric | 0% | - | 0.9 |
composition_ethnicity_foreigner_pct_synth |
foreigner | numeric | 0% | - | 5.3 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.7 |
composition_ethnicity_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.2 |
composition_ethnicity_primary_share_pct_synth |
Fang | numeric | 0% | - | 78.1 |
| 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 | 3C |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 7.0 |
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
country_name |
Country name | string | SEL | 0% | 1 | Equatorial Guinea |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 3.0 |
airports_text |
airports_text | string | 0% | 1 | 7 (2025) |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 53 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 53.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1, general cargo 16, oil tanker 7, other 29 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 7 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 7.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 6 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 6.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 6 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 6.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Bata, Ceiba Terminal, Cogo, Luba, Malabo, Punta Europa... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ek.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 12 | bata1285, beng1282, bube1242, fada1250, fang1246 |
name |
Name | string | CCL | 0% | 12 | Batanga, Benga, Bube, Annobonese, Fang (Equatorial Guinea) |
iso639_3 |
Iso639 3 | string | CCL | 0% | 12 | bnm, bng, bvb, fab, fan |
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% | 2 | atla1278, atla1278, atla1278, indo1319, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 9 | beng1289, beng1289, mbam1254, bant1299, yaun1239 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 5 | ['CM', 'GQ'], ['GA', 'GQ'], ['GQ'], ['GQ'], ['CG', 'CM',... |
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% | 4 | 0, 0, 3, 0, 5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 12 | 1.397041, 1.075766, 3.53638, -1.43033, 1.723965 |
longitude |
longitude | float | 0% | 12 | 9.51011, 9.600739, 8.68929, 5.61879, 11.61454 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNQ |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Equatorial Guinea |
admin_code |
Admin code | string | SEL | 0% | 1 | 36962785B17032204434992 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 27033.2172 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 1768464 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 65.42 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNQ, GNQ, GNQ, GNQ, GNQ |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 7 | Litoral Province, Bioko Norte, Kié-Ntem Province,... |
admin_code |
Admin code | string | SEL | 0% | 7 | 51917635B39894172986547, 51917635B51392139910348,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 7 | 7068.271, 613.8853, 3563.8116, 6021.2122, 8415.8546 |
pop_2024 |
Population count | integer | SEL | 0% | 7 | 522681, 423447, 297358, 277657, 205232 |
pop_density_2024 |
Population density | float | SEL | 0% | 7 | 73.95, 689.78, 83.44, 46.11, 24.39 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNQ, GNQ |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality |
admin_name |
Admin name | string | SEL | 0% | 2 | Bata, Malabo |
admin_code |
Admin code | integer | SEL | 0% | 2 | 255, 76 |
area_sqkm |
Area sqkm | float | SEL | 0% | 2 | 87.4126, 70.5288 |
pop_2024 |
Population count | integer | SEL | 0% | 2 | 428963, 394390 |
pop_density_2024 |
Population density | float | SEL | 0% | 2 | 4907.34, 5591.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 2 | 789800, 729478 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 2 | 0.543, 0.541 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNQ, GNQ, GNQ, GNQ, GNQ |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 5 | Fang, Bubi, Ndowe, Fernandinos, Annobon Islanders |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | DOMINANT, DISCRIMINATED, DISCRIMINATED, DISCRIMINATED,... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 5 | 0.857, 0.065, 0.036, 0.009, 0.005 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 5 | 41101000, 41103000, 41102000, 41104000, 41105000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | , , , , |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GNQ, GNQ, GNQ, GNQ |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | spa, eng, fra, por |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | Spanish, English, French, Portuguese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 133, 4, 3, 2 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 93.662, 2.8169, 2.1127, 1.4085 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GNQ |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Equatorial Guinea |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9666 |
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 | 5993 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 4400 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 5991 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 2 |
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 | 2965 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 2085 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 1827 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 1534 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 444 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 219 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 550 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 494 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 206 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 67 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 1 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNQ, GNQ |
society_id |
Society id | string | CCL | 0% | 2 | Ae44, Ae47 |
society_name |
Society name | string | CCL | 0% | 2 | Bubi, Puku |
language_glottocode |
Language glottocode | string | CCL | 0% | 2 | bube1242, bata1285 |
language_name |
Language name | string | CCL | 0% | 1 | , |
kinship_system |
Kinship system | string | CCL | 0% | 2 | EA001:0; EA002:1; EA003:1; EA004:1; EA005:7, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 2 | EA006:1; EA007:8; EA008:8; EA009:5; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 2 | EA028:3; EA029:5; EA030:7; EA031:NA; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 2 | EA033:5; EA034:NA; EA035:NA, EA033:2; EA034:NA; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:NA; EA112:NA, EA034:NA; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Equatorial Guinea, Equatorial Guinea |
dataset |
dataset | string | 0% | 1 | EA, EA |
region |
region | string | 0% | 1 | , |
latitude |
latitude | float | 0% | 2 | 3.54, 2.0 |
longitude |
longitude | float | 0% | 2 | 8.72, 10.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 2 | Bata, Malabo |
country_code |
Country code | string | SEL | 0% | 1 | GNQ, GNQ |
population |
Population count | integer | SEL | 0% | 2 | 789800, 729478 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 2 | 255, 76 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Equatorial Guinea, Equatorial Guinea |
population_year |
population_year | integer | 0% | 1 | 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| 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 |
|---|---|---|---|
| Spanish (spa) | 133 | 93.7% | — |
| English (eng) | 4 | 2.8% | — |
| French (fra) | 3 | 2.1% | — |
| Portuguese (por) | 2 | 1.4% | — |
4,400 distinct features ·
4 languages ·
0 scripts ·
2 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 |
|---|---|---|
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.