BRN-LANDSCAN (2024)
— 4 subnational units
across
admin_1 (4).
Modeled, not enumerated — it is an estimate built on census
inputs, not the published tabulation.
3 further sources (Ethnic Power Relations Dataset, GI-TOC / ENACT, Global Data Lab) are held but not offered: their licences do not permit commercial redistribution. HERA cites their published findings with attribution and can supply the data to organisations holding their own licence — ask us.
| 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 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
country_code | string | 0% | 1 | BRN, BRN, BRN, BRN, BRN |
country_name |
country_name | string | 0% | 1 | Brunei Darussalam, Brunei Darussalam, Brunei Darussalam,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
intl_migrant_stock |
intl_migrant_stock | float | 88% | 8 | 73200.0, 84748.0, 96296.0, 98441.0, 100587.0 |
intl_migrant_stock_pct |
intl_migrant_stock_pct | float | 88% | 8 | 28.7, 29.1, 29.5, 27.4, 25.6 |
net_migration |
net_migration | float | 0% | 62 | 982.0, 1014.0, 1088.0, 1469.0, 1595.0 |
remittances_received_usd |
remittances_received_usd | string | 100% | - | - |
remittances_received_pct_gdp |
remittances_received_pct_gdp | string | 100% | - | - |
remittances_paid_usd |
remittances_paid_usd | float | 88% | 8 | 89225732.0647701, 96975673.5483045, 353781659.800789,... |
| 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_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_country_code_text |
Internet country code text | string | 0% | 1 | .bn |
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 |
|---|---|---|---|---|---|---|
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_text |
Civil aircraft registration country code prefix text | string | 0% | 1 | V8 |
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% | - | - |
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 |
country_codes |
Country codes | string | 0% | 4 | ['BN', 'MY'], ['BN', 'MY'], ['BN', 'MY'], ['BN', 'MY'],... |
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 |
|---|---|---|---|---|---|---|
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 | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_code |
Country code (ISO 3166-1 alpha-3) | string | 0% | 1 | BRN |
inform_aff_dr |
People affected by drought (absolute) - raw | float | 0% | 1 | 0.0 |
inform_aff_dr_freq |
Frequency of Droughts events | float | 0% | 1 | 0.0 |
inform_aff_dr_rel |
People affected by droughts (relative) - raw | float | 0% | 1 | 0.0 |
inform_ag_lnd_totl_k2 |
Land area (sq. km) | float | 0% | 1 | 5270.0 |
inform_asi |
Agriculture Stress Index Probability | float | 0% | 1 | 0.125 |
inform_bx_trf_pwkr_dt_gd_zs_inst |
Remittences Instability | float | 0% | 1 | 0.00172757420533886 |
inform_bx_trf_pwkr_dt_gd_zs_inst_norm |
ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM] | float | 0% | 1 | 0.0 |
inform_bx_trf_pwkr |
Personal remittances, received (% of GDP) | float | 0% | 1 | 0.00662467302754521 |
inform_lack_of_coping_capacity |
Lack of Coping Capacity Index | float | 0% | 1 | 2.9 |
inform_infrastructure_capacity |
Infrastructure | float | 0% | 1 | 2.0 |
inform_cc_inf_ahc |
Access to Health Care | float | 0% | 1 | 2.4 |
inform_cc_inf_ahc_health_exp |
Health expenditure per capita [CC.INF.AHC.HEALTH-EXP] | float | 0% | 1 | 3.7 |
inform_cc_inf_ahc_imm |
Immunization coverage | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_imm_dtp3 |
Diphtheria-Tetanus-Pertussis | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_imm_mcv2 |
Measles | float | 0% | 1 | 0.0 |
inform_cc_inf_ahc_mmr |
Maternal Mortality Ratio [CC.INF.AHC.MMR] | float | 0% | 1 | 0.4 |
inform_cc_inf_ahc_phys |
Physicians density [CC.INF.AHC.PHYS] | float | 0% | 1 | 5.3 |
inform_cc_inf_com |
Communication | float | 0% | 1 | 1.3 |
inform_cc_inf_com_cel |
Mobile cellular subscriptions [CC.INF.COM.CEL] | float | 0% | 1 | 4.2 |
inform_cc_inf_com_elaccs |
Access to electricity [CC.INF.COM.ELACCS] | float | 0% | 1 | 0.0 |
inform_cc_inf_com_litr |
Adult literacy rate | float | 0% | 1 | 0.5 |
inform_cc_inf_com_netus |
Internet users [CC.INF.COM.NETUS] | float | 0% | 1 | 0.4 |
inform_cc_inf_phy |
Physical Infrastructure | float | 0% | 1 | 2.4 |
inform_cc_inf_phy_h2o |
Access to improved water source | float | 0% | 1 | 0.0 |
inform_cc_inf_phy_rod |
Road density [CC.INF.PHY.ROD] | float | 0% | 1 | 7.2 |
inform_cc_inf_phy_sta |
Access to improved sanitation facilities | float | 0% | 1 | 0.0 |
inform_institutional_capacity |
Institutional | float | 0% | 1 | 3.7 |
inform_cc_ins_gov |
Governance | float | 0% | 1 | 3.7 |
inform_cc_ins_gov_cpi |
Corruption Perception Index [CC.INS.GOV.CPI] | float | 0% | 1 | 4.0 |
| +207 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.
* Shares are of the
49 names that carry a language
code; the remaining 1,983 of
2,032 are unattributed, so these
percentages do not divide into the headline count.
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 |
|---|---|---|
| INFORM Risk Index (EC-JRC) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| 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.