ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KWT, KWT, KWT, KWT, KWT |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 4 | Total, Ahmadi, Al Asimah, Hawalli, Al-Farwaniyah,... |
human_development_index |
Human development index | float | SEL | 0% | 69 | 0.729, 0.736, 0.727, 0.719, 0.71 |
health_index |
Health index | float | SEL | 0% | 21 | 0.813, 0.813, 0.813, 0.813, 0.82 |
education_index |
Education index | float | SEL | 0% | 59 | 0.495, 0.512, 0.492, 0.479, 0.473 |
income_index |
Income index | float | SEL | 0% | 32 | 0.961, 0.959, 0.962, 0.956, 0.923 |
life_expectancy |
Life expectancy | float | SEL | 0% | 25 | 72.85, 72.85, 72.85, 72.85, 73.31 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 66 | 7.429, 7.685, 7.378, 7.18, 7.092 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 25 | 1990, 1990, 1990, 1990, 1991 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, national |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KW, KW, KW, KW, KW |
population_count |
Population count | float | SEL | 2% | 65 | 311060.0, 345945.0, 384995.0, 427694.0, 473115.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 59.2033414634146, 60.235, 61.259512195122,... |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 5% | 63 | 4748.39284354226, 4444.5230858112, 4378.78429775998,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 77% | 15 | 59.560001373291, 67.5199966430664, 74.4899978637695,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 59 | 141.9, 132.2, 123.0, 114.4, 106.1 |
poverty_headcount_pct |
Poverty headcount percent | string | SEL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kuwait, Kuwait, Kuwait, Kuwait, Kuwait |
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 | KW, KW, KW, KW, KW |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 59.2033414634146, 60.235, 61.259512195122,... |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 41% | 30 | 12.5, 12.1, 11.7, 11.2, 10.7 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 59 | 141.9, 132.2, 123.0, 114.4, 106.1 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 8 | 11.0, 11.0, 10.0, 10.0, 10.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 7.223, 7.248, 7.254, 7.275, 7.286 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 45.925, 45.336, 44.695, 44.274, 43.823 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 10.389, 9.701, 9.033, 8.366, 7.756 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 59% | 26 | 0.871, 1.263, 0.954, 1.698, 1.412 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 61% | 24 | 6.79856109619141, 4.83470010757446, 4.144700050354,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 17 | 67.0, 79.0, 83.0, 89.0, 89.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 2.20362997, 3.18719625, 3.12441754, 2.76042604, 2.35702467 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kuwait, Kuwait, Kuwait, Kuwait, Kuwait |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| 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 |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 12.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 168.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .kw |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 100.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 1.0 |
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | 573,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 573000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 12 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 8.11 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 8.11 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 168 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-owned TV broadcaster operates 4 networks and a... |
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 | 100% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 49,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 49000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 1 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ku.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 | 45400.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 160.227 |
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | small, high-income, oil-based Middle East economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 25.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $225.947 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 | 225.947 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $231.884 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 | 231.884 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $235.815 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 | 235.815 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | -2.6% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | -2.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | -1.7% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | -1.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 6.8% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 6.8 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $45,400 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $47,800 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 47800.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $51,400 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 51400.0 |
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 | $160.227 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 2.9% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 2.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 3.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 3.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 4% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 4.0 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +108 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 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | 20.294 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 20.294 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 78.047 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 78.047 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 7.516 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 7.516 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 97.8% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 97.8 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.2 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 2% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 2.0 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 60,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 60000.0 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 11 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 11.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 152,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 152000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 2.91 million bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 2.91 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 430,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 430000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 101.5 billion barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 101.5 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 19.207 billion cubic meters (2023 est.) |
natural_gas_production_numeric |
natural_gas_production_numeric | float | 0% | 1 | 19.207 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 26.296 billion cubic meters (2023 est.) |
natural_gas_consumption_numeric |
natural_gas_consumption_numeric | float | 0% | 1 | 26.296 |
natural_gas_imports_text |
natural_gas_imports_text | string | 0% | 1 | 8.433 billion cubic meters (2023 est.) |
| +7 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 | 8.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 100.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.35 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 1.75 |
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | limited natural freshwater resources; air and water... |
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 | Marine Dumping-London Convention |
climate_text |
climate_text | string | 0% | 1 | dry desert; intensely hot summers; short, cool winters |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 8.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 7.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 7.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 0.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 91.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 91.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 100% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.35% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 100.459 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 100.459 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 149,000 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 | 149000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 48.723 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 | 48.723 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 51.587 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 | 51.587 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 54.9 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 54.9 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 819.9 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 819.9 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 7.3 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 7.3 |
| +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 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | Kuwaiti(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Kuwaiti |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Kuwaiti 30.4%, other Arab 27.4%, Asian 40.3%, African... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 30.4 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ku.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 17818.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 17818.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 0.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 475.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 499.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 3.6 |
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 | 8.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 100.0 |
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Middle East, bordering the Persian Gulf, between Iraq... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 29 30 N, 45 45 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 29.0 |
map_references_text |
map_references_text | string | 0% | 1 | Middle East |
area_total_text |
area_total_text | string | 0% | 1 | 17,818 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 17,818 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 New Jersey |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 475 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Iraq 254 km; Saudi Arabia 221 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 254.0 |
coastline_text |
coastline_text | string | 0% | 1 | 499 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 |
climate_text |
climate_text | string | 0% | 1 | dry desert; intensely hot summers; short, cool winters |
terrain_text |
terrain_text | string | 0% | 1 | flat to slightly undulating desert plain |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | 3.6 km W. of Al-Salmi Border Post 300 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Persian Gulf 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 108 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 108.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, fish, shrimp, natural gas |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 8.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 7.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 7.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 0.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 91.2% (2023 est.) |
| +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 | KWT |
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 | State of Kuwait |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Kuwait |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Dawlat al Kuwayt |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Al Kuwayt |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the name derives from the capital city, which comes from... |
government_type_text |
government_type_text | string | 0% | 1 | constitutional monarchy (emirate) |
capital_name_text |
capital_name_text | string | 0% | 1 | Kuwait City |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 29 22 N, 47 58 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 29.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+3 (8 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name comes from the Arabic al-kuwayt, a diminutive... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 6 governorates (muhafazat, singular - muhafazah); Al... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 6.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system consisting of English common law, French... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | approved and promulgated 11 November 1962; suspended... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 11.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the amir or supported by at least one third... |
constitution_note |
constitution_note | string | 0% | 1 | note: in May 2024, Amir Sheikh MISHAL al-Ahmad al-Sabah... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
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 Kuwait |
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 | not specified |
suffrage_text |
suffrage_text | string | 0% | 1 | 21 years of age and at least 20-year citizenship |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 21.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | Amir MISHAL al-Ahmad al-Jabir al-Sabah (since 16 December 2023) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 16.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Prime Minister AHMAD ABDULLAH Al-Ahmad al Sabah (since... |
executive_branch_head_of_government_numeric |
executive_branch_head_of_government_numeric | float | 0% | 1 | 15.0 |
| +47 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 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Kuwait has been ruled by the AL-SABAH dynasty since the... |
background_numeric |
background_numeric | float | 0% | 1 | 18.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ku.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Arabic (official), English widely spoken |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | كتاب حقائق العالم، المصدر الذي لا يمكن الاستغناء عنه... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ku.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | 1,271 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 1271.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 92,000 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 92000.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ku.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | Kuwait Armed Forces (KAF): Kuwait Army (aka Kuwait Land... |
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 | 4.9% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 4.9 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 4.8% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 4.8 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 4.5% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 4.5 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 6.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 6.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 6.3% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 6.3 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 17,000 active Kuwait Armed Forces;... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 17000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's inventory consists of armaments from... |
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 years of age for voluntary military service for men... |
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 Kuwaiti Armed Forces (KAF) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2015.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ku.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 3172511.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 1827274.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 1345237.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 23.0 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 73.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.6 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 36.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 30.9 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.1 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 30.4 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.07 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 17.36 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 2.3 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -4.39 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 100.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.35 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.36 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 8.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 7.0 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 79.6 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.19 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.07 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 2.27 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 2.4 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 96.5 |
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | 3,172,511 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 1,827,274 |
population_female_text |
population_female_text | string | 0% | 1 | 1,345,237 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 23% (male 376,415/female 346,190) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 73.4% (male 1,386,349/female 917,465) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.6% (2024 est.) (male 47,778/female 64,158) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 36 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 30.9 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.1 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 19.7 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 19.7 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 30.4 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 31.1 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 31.1 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 28.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 28.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.07% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 17.36 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 2.3 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -4.39 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | densest settlement is along the Persian Gulf,... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 100% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.35% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 3.298 million KUWAIT (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 3.298 |
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 | 1.09 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.09 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.51 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.51 |
| +75 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 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 18.2 |
composition_ethnicity_primary_label_synth |
Asian | string | CCL | 0% | - | Asian |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim (official) 74.6%, Christian 18.2%, other and... |
religions_numeric |
religions_numeric | float | 0% | 1 | 74.6 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ku.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_muslim_official_pct_synth |
Muslim (official) | numeric | 0% | - | 74.6 |
composition_religion_other_and_unspecified_pct_synth |
other and unspecified | numeric | 0% | - | 7.2 |
composition_ethnicity_kuwaiti_pct_synth |
Kuwaiti | numeric | 0% | - | 30.4 |
composition_ethnicity_other_arab_pct_synth |
other Arab | numeric | 0% | - | 27.4 |
composition_ethnicity_asian_pct_synth |
Asian | numeric | 0% | - | 40.3 |
composition_ethnicity_african_pct_synth |
African | numeric | 0% | - | 1.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.9 |
composition_ethnicity_primary_share_pct_synth |
Asian | numeric | 0% | - | 40.3 |
| 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 | 9K |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 6.0 |
country_code |
Country code | string | SEL | 0% | 1 | KWT |
country_name |
Country name | string | SEL | 0% | 1 | Kuwait |
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 | 9.0 |
airports_text |
airports_text | string | 0% | 1 | 6 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 20 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 20.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 176 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 176.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 15, oil tanker 28, other 133 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 15.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 6 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 6.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 2 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 2.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 3 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 3.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 4 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 4.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Al Kuwayt, Doha Harbor, Mina Abd Allah, Mina Al Ahmadi,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | middle-east/ku.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KWT |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Kuwait |
admin_code |
Admin code | string | SEL | 0% | 1 | 12940379B58307235227026 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 17220.4869 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 3117767 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 181.05 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KWT, KWT, KWT, KWT, KWT |
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% | 6 | Farwaniya, Hawalli, Ahmadi, Jahra, Al Asimah |
admin_code |
Admin code | string | SEL | 0% | 6 | 60633882B59498803395258, 60633882B83450722631047,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 6 | 199.1412, 83.6067, 4431.0595, 12232.1266, 172.4288 |
pop_2024 |
Population count | integer | SEL | 0% | 6 | 838356, 680275, 579630, 411138, 364330 |
pop_density_2024 |
Population density | float | SEL | 0% | 6 | 4209.86, 8136.61, 130.81, 33.61, 2112.93 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KWT, KWT, KWT |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 3 | Kuwait City, Al Jahra, Saad Al-Abdulla |
admin_code |
Admin code | integer | SEL | 0% | 3 | 475, 149, 321 |
area_sqkm |
Area sqkm | float | SEL | 0% | 3 | 488.2814, 22.9196, 18.9337 |
pop_2024 |
Population count | integer | SEL | 0% | 3 | 2380467, 91203, 34432 |
pop_density_2024 |
Population density | float | SEL | 0% | 3 | 4875.19, 3979.26, 1818.56 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 3 | 3703486, 85787, 70891 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 3 | 0.643, 1.063, 0.486 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 6 | gulf1241, kuwa1252, mehr1241, najd1235, nort2641 |
name |
Name | string | CCL | 0% | 6 | Gulf Arabic, Kuwaiti Sign Language, Mehri, Najdi Arabic,... |
iso639_3 |
Iso639 3 | string | CCL | 17% | 5 | afb, gdq, ars, kmr, arb |
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 | afro1255, sign1238, afro1255, afro1255, indo1319 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 5 | nort3402, arab1398, west2859, nort3402, kurd1259 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 6 | ['AE', 'BH', 'IQ', 'IR', 'KW', 'OM', 'QA', 'SA', 'YE'],... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 6 | 8, 0, 4, 9, 28 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 6 | 30.17, 29.376662, 16.793, 30.3371, 37.0 |
longitude |
longitude | float | 0% | 6 | 47.5, 47.98118, 52.473, 42.1773, 43.0 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KW, KW, KW, KW, KW |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | KWT, KWT, KWT, KWT, KWT |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 6 | -28.66, -24.27, -31.85, -14.72, -25.6 |
grocery |
grocery | float | 0% | 6 | -18.38, -20.89, -17.79, -12.64, -3.59 |
parks |
parks | float | 0% | 6 | -35.29, -15.77, -46.23, -2.53, -27.6 |
transit |
transit | float | 0% | 6 | -3.87, -0.71, -34.61, -17.43, -7.22 |
workplaces |
workplaces | float | 0% | 6 | -29.67, -24.87, -26.2, -23.25, -23.47 |
residential |
residential | float | 0% | 6 | 11.24, 9.6, 11.9, 11.0, 10.0 |
region |
region | string | 0% | 6 | Al Ahmadi Governorate, Al Asimah Governate, Al... |
observation_count |
observation_count | integer | 0% | 1 | 974, 974, 974, 974, 974 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KWT, KWT, KWT |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Kuwaiti Sunni (Arab), Kuwaiti Shi'a (Arab), Bedoon |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | DOMINANT, POWERLESS, DISCRIMINATED |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.23, 0.11, 0.03 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 69003000, 69002000, 69004000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 3 | Kuwait City, Al Jahra, Saad Al-Abdulla |
country_code |
Country code | string | SEL | 0% | 1 | KWT, KWT, KWT |
population |
Population count | integer | SEL | 0% | 3 | 3703486, 85787, 70891 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 3 | 475, 149, 321 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Kuwait, Kuwait, Kuwait |
population_year |
population_year | integer | 0% | 1 | 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 | KWT, KWT |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | ara, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | Arabic, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 2 | 1714, 19 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 98.9036, 1.0964 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 850, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | Arab, |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | Arabic, |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | KWT |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Kuwait |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 1 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.8051 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 889 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 3078 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 860 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 3072 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 6 |
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_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 930 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 233 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 458 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 143 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 683 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 156 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 277 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 89 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 470 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 120 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 256 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 117 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 4 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | 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_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_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | 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_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | KWT |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 47 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | float | 0% | 1 | 5.5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 5.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 90 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 6 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 30 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 6.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 89 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 4.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 4.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 126 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.7 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.13 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 59 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.7 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 6.15 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 74 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 6 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | integer | 0% | 1 | 6 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 95 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 5.2 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 5.14 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 23 |
| +74 more pending 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. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Arabic (ara) | 1,714 | 98.9% | Arabic |
| English (eng) | 19 | 1.1% | — |
860 distinct features ·
2 languages ·
1 script ·
889 names in non-Roman script ·
6 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 |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| Global Data Lab | academic | api |
| commercial | bulk_download | |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| 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.