| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BN, BN, BN, BN, BN |
population_count |
Population count | float | SEL | 2% | 65 | 88347.0, 92517.0, 96719.0, 101159.0, 105922.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 58.721, 59.387, 58.824, 60.625, 61.267 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 9% | 60 | 1028.88450343084, 1145.70592233266, 1148.84303232869,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 77.7399978637695, 87.8000030517578, 92.6699981689453,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 48 | 89.0, 82.4, 76.6, 71.5, 67.0 |
poverty_headcount_pct |
Poverty headcount percent | string | SEL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Brunei Darussalam, Brunei Darussalam, Brunei Darussalam,... |
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 | BN, BN, BN, BN, BN |
life_expectancy |
Life expectancy | float | SEL | 3% | 63 | 58.721, 59.387, 58.824, 60.625, 61.267 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 47% | 12 | 6.1, 6.0, 5.9, 5.8, 5.7 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 48 | 89.0, 82.4, 76.6, 71.5, 67.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 27 | 79.0, 78.0, 75.0, 73.0, 71.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 7.322, 7.185, 7.03, 6.893, 6.773 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.234, 44.975, 42.848, 40.985, 39.722 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 11.37, 10.657, 10.506, 9.409, 8.908 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 65% | 23 | 0.3, 0.435, 0.487, 0.534, 0.746 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 58% | 25 | 4.90243911743164, 3.50769996643066, 2.93589997291565,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 13 | 89.0, 94.0, 99.0, 85.0, 96.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 2.5479064, 2.5465107, 2.53447938, 2.60260582, 2.55193377 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Brunei Darussalam, Brunei Darussalam, Brunei Darussalam,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
ⓘ 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 | BRN, BRN, BRN, BRN, BRN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 1 | Total, Total, Total, Total, Total |
human_development_index |
Human development index | float | SEL | 0% | 30 | 0.822, 0.819, 0.816, 0.813, 0.808 |
health_index |
Health index | float | SEL | 0% | 25 | 0.794, 0.798, 0.801, 0.805, 0.809 |
education_index |
Education index | float | SEL | 0% | 27 | 0.7, 0.689, 0.679, 0.668, 0.653 |
income_index |
Income index | float | SEL | 0% | 1 | 1.0, 1.0, 1.0, 1.0, 1.0 |
life_expectancy |
Life expectancy | float | SEL | 0% | 32 | 71.63, 71.86, 72.09, 72.33, 72.57 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 30 | 10.5, 10.34, 10.18, 10.03, 9.801 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 34 | 1990, 1991, 1992, 1993, 1994 |
level |
level | string | 0% | 1 | national, national, national, national, national |
| 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 | 26.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 118.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .bn |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 99.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 20.0 |
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
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 | 122,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 122000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 26 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 582,919 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 582919.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 118 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-controlled Radio Television Brunei (RTB) operates... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 5.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 99% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 93,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 93000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 20 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/bx.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 | 79200.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 15.463 |
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
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 | almost exclusively an oil and gas economy; high income... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $36.64 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 | 36.64 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $35.163 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 | 35.163 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $34.771 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 | 34.771 |
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 | 4.2% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.2 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 1.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 1.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | -1.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | -1.6 |
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 | $79,200 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $76,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 76600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $76,400 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 76400.0 |
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 | $15.463 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | -0.4% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | -0.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 0.4% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 0.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 3.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 3.7 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 1.2% (2024 est.) |
| +103 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 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
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 | 904,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 904000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 5.081 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 5.081 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 502.188 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 502.188 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 99.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 99.9 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.1% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.1 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 841,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 841000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 841,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 841000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 95,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 95000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 15,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 15000.0 |
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 | 10.093 billion cubic meters (2023 est.) |
natural_gas_production_numeric |
natural_gas_production_numeric | float | 0% | 1 | 10.093 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 3.911 billion cubic meters (2023 est.) |
natural_gas_consumption_numeric |
natural_gas_consumption_numeric | float | 0% | 1 | 3.911 |
natural_gas_exports_text |
natural_gas_exports_text | string | 0% | 1 | 5.733 billion cubic meters (2023 est.) |
natural_gas_exports_numeric |
natural_gas_exports_numeric | float | 0% | 1 | 5.733 |
natural_gas_proven_reserves_text |
natural_gas_proven_reserves_text | string | 0% | 1 | 260.515 billion cubic meters (2021 est.) |
natural_gas_proven_reserves_numeric |
natural_gas_proven_reserves_numeric | float | 0% | 1 | 260.515 |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_text | string | 0% | 1 | 403.365 million Btu/person (2023 est.) |
| +3 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 | 2.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 72.1 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 79.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.44 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 216300.0 |
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
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 | air pollution, including seasonal haze from forest fires... |
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 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | tropical; hot, humid, rainy |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 2.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.6 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 72.1% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 25.4% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 25.4 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 79.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.44% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 10.823 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 10.823 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 998,000 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 | 998000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 2.175 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 | 2.175 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 7.65 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 | 7.65 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 7.4 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 7.4 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 50.5 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 50.5 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 0.9 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 0.9 |
| +15 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
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 | Bruneian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Bruneian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Malay 67.4%, Chinese 9.6%, other 23% (2021 est.) |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 67.4 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/bx.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 5765.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 5265.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 500.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 266.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 161.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1850.0 |
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 | 2.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 72.1 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 10.0 |
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southeastern Asia, along the northern coast of the... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 4 30 N, 114 40 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 4.0 |
map_references_text |
map_references_text | string | 0% | 1 | Southeast Asia |
area_total_text |
area_total_text | string | 0% | 1 | 5,765 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 5,265 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 500 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Delaware |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 266 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Malaysia 266 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 266.0 |
coastline_text |
coastline_text | string | 0% | 1 | 161 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 or to median line |
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; hot, humid, rainy |
terrain_text |
terrain_text | string | 0% | 1 | flat coastal plain rises to mountains in east; hilly... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Bukit Pagon 1,850 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | South China Sea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 478 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 478.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, natural gas, timber |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 2.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.8% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.8 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.1% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.1 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 0.6% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 0.6 |
| +9 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 | BRN |
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 | Brunei Darussalam |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Brunei |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Negara Brunei Darussalam |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Brunei |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | derivation of the name is unclear; the name may come... |
government_type_text |
government_type_text | string | 0% | 1 | absolute monarchy or sultanate |
capital_name_text |
capital_name_text | string | 0% | 1 | Bandar Seri Begawan |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 4 53 N, 114 56 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 4.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+8 (13 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 8.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | named in 1970 after Sultan Omar Ali SAIFUDDIEN III... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1970.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 4 districts (daerah-daerah, singular - daerah); Belait,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 4.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed legal system based on English common law and Islamic law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | drafted 1954 to 1959, signed 29 September 1959 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1954.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the monarch; passage requires submission to... |
constitution_note |
constitution_note | string | 0% | 1 | note: some constitutional provisions suspended since... |
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 | the father must be a citizen of Brunei |
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 | 12 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 12.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age for village elections; 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 | Sultan and Prime Minister Sir HASSANAL Bolkiah (since 5... |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 5.0 |
| +63 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 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | The Sultanate of Brunei's influence peaked between the... |
background_numeric |
background_numeric | float | 0% | 1 | 15.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/bx.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | Malay (Bahasa Melayu) (official), English, Chinese dialects |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Buku Fakta Dunia, sumber yang diperlukan untuk maklumat... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/bx.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 20,863 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 20863.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — Brunei does not fully meet the... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/bx.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
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 | Royal Brunei Armed Forces (RBAF) or Angkatan Bersenjata... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 3.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 2.6% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 2.6 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 3.1% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 3.1 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 3.7% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 3.7 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 3.1% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 3.1 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 7,000 active Armed Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 7000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the military's s inventory includes equipment and... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-25 years of age for voluntary military service (2025) |
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 Royal Brunei Armed Forces (RBAF) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1961.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/bx.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 491900.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 239140.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 252760.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 21.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 70.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 7.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 41.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 30.6 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 10.6 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 32.6 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.37 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 15.58 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 3.96 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 2.09 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 79.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.44 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.05 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.95 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 36.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 9.8 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 78.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 1.73 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 0.85 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 1.89 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 3.9 |
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
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 | 491,900 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 239,140 |
population_female_text |
population_female_text | string | 0% | 1 | 252,760 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 21.7% (male 54,924/female 51,710) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 70.8% (male 166,289/female 182,011) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 7.5% (2024 est.) (male 17,927/female 19,039) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 41.2 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 30.6 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 10.6 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 9.4 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 9.4 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 32.6 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 31.4 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 31.4 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 33.1 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 33.1 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.37% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 15.58 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 3.96 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 2.09 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the vast majority of the population is found along the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 79.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.44% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 266,682 BANDAR SERI BEGAWAN (capital) (2021) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 266682.0 |
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 | 1.06 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.06 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.91 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.91 |
| +64 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 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 6.7 |
composition_religion_buddhist_pct_synth |
Buddhist | numeric | CCL | 0% | - | 6.3 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 4.9 |
composition_ethnicity_primary_label_synth |
Malay | string | CCL | 0% | - | Malay |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim (official) 82.1%, Christian 6.7%, Buddhist 6.3%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 82.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/bx.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_muslim_official_pct_synth |
Muslim (official) | numeric | 0% | - | 82.1 |
composition_ethnicity_malay_pct_synth |
Malay | numeric | 0% | - | 67.4 |
composition_ethnicity_chinese_pct_synth |
Chinese | numeric | 0% | - | 9.6 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 23.0 |
composition_ethnicity_primary_share_pct_synth |
Malay | numeric | 0% | - | 67.4 |
| 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 | V8 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 2.0 |
country_code |
Country code | string | SEL | 0% | 1 | BRN |
country_name |
Country name | string | SEL | 0% | 1 | Brunei |
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 | 8.0 |
airports_text |
airports_text | string | 0% | 1 | 2 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 14 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 14.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 97 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 97.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 18, oil tanker 2, other 77 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 18.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 5 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 5.0 |
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 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
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 | 5 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 5.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Bandar Seri Begawan, Kuala Belait, Lumut, Muara Harbor,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | east-n-southeast-asia/bx.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 12 | bela1260, brun1242, brun1245, cent2101, east2485 |
name |
Name | string | CCL | 0% | 12 | Lemeting, Brunei, Brunei Bisaya-Dusun, Central Melanau,... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 12 | beg, kxd, bsb, mel, pez |
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% | 1 | aust1307, aust1307, aust1307, aust1307, aust1307 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 9 | cent2272, brun1246, bisa1270, mela1255, pena1271 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 4 | ['BN', 'MY'], ['BN', 'MY'], ['BN', 'MY'], ['BN', 'MY'],... |
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% | 9 | 0, 3, 2, 10, 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 12 | 4.96207, 4.456045, 4.60791, 2.524086, 4.5915 |
longitude |
longitude | float | 0% | 12 | 114.933, 114.429505, 114.517, 111.346451, 114.584 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Brunei |
admin_code |
Admin code | string | SEL | 0% | 1 | 51999400B40896605223228 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 6058.7386 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 467279 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 77.12 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRN, BRN, BRN, BRN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 4 | Brunei-Muara, Belait, Tutong, Temburong |
admin_code |
Admin code | string | SEL | 0% | 4 | 89281809B42057356743122, 89281809B69825435871977,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 4 | 556.7049, 2796.5316, 1226.8522, 1290.5907 |
pop_2024 |
Population count | integer | SEL | 0% | 4 | 351428, 70580, 52305, 10605 |
pop_density_2024 |
Population density | float | SEL | 0% | 4 | 631.26, 25.24, 42.63, 8.22 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRN, BRN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality |
admin_name |
Admin name | string | SEL | 0% | 2 | Bandar Seri Begawan, Lambak |
admin_code |
Admin code | integer | SEL | 0% | 2 | 183, 350 |
area_sqkm |
Area sqkm | float | SEL | 0% | 2 | 36.7552, 29.7991 |
pop_2024 |
Population count | integer | SEL | 0% | 2 | 95176, 90885 |
pop_density_2024 |
Population density | float | SEL | 0% | 2 | 2589.46, 3049.92 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 2 | 77224, 69097 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 2 | 1.232, 1.315 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BRN, BRN, BRN, BRN, BRN |
gns_language_code |
gns_language_code | string | CCL | 0% | 6 | msa, eng, mly, tgl, por |
gns_language_name |
gns_language_name | string | CCL | 0% | 6 | Malay (generic), English, Malay (specific), Tagalog, Portuguese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 28, 16, 2, 1, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 57.1429, 32.6531, 4.0816, 2.0408, 2.0408 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | BRN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Brunei |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 6 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.4587 |
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 | 2032 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 1153 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 2021 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 11 |
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_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 269 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 151 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 820 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 548 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 795 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 355 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 63 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 44 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 68 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 43 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 13 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 9 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 4 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 3 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | BRN, BRN, BRN, BRN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 4 | Bumiputera (Muslims), Chinese, Bumiputera (other),... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | MONOPOLY, DISCRIMINATED, DISCRIMINATED, DISCRIMINATED |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 4 | 0.57, 0.1, 0.09, 0.05 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 4 | 83501000, 83504000, 83502000, 83503000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | , false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 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% | 2 | Bandar Seri Begawan, Lambak |
country_code |
Country code | string | SEL | 0% | 1 | BRN, BRN |
population |
Population count | integer | SEL | 0% | 2 | 77224, 69097 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 2 | 183, 350 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Brunei, Brunei |
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 | 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 | BRN |
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 | 171 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 2.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 2.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 159 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 3.5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 191 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 1.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | float | 0% | 1 | 1.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 184 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 2.4 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 2.38 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 169 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 3.3 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 3.15 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 186 |
oc_criminal_networks_2023 |
oc_criminal_networks_2023 | integer | 0% | 1 | 2 |
oc_criminal_networks_2021 |
oc_criminal_networks_2021 | float | 0% | 1 | 2.5 |
oc_criminality_rank |
oc_criminality_rank | integer | 0% | 1 | 176 |
oc_criminality_2023 |
oc_criminality_2023 | float | 0% | 1 | 2.85 |
oc_criminality_2021 |
oc_criminality_2021 | float | 0% | 1 | 2.76 |
oc_cyber_dependent_crimes_rank |
oc_cyber_dependent_crimes_rank | integer | 0% | 1 | 111 |
| +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 |
|---|---|---|---|
| Malay (generic) (msa) | 28 | 57.1% | — |
| English (eng) | 16 | 32.7% | — |
| Malay (specific) (mly) | 2 | 4.1% | — |
| Tagalog (tgl) | 1 | 2.0% | — |
| Portuguese (por) | 1 | 2.0% | — |
| Indonesian (ind) | 1 | 2.0% | — |
1,153 distinct features ·
6 languages ·
0 scripts ·
11 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 |
| Ethnic Power Relations Dataset | 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 |
| 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.