ⓘ 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 | COM, COM, COM, COM, COM |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 4 | Total, Anjouan (Ndzouani), Grande Comore (Ngazidja),... |
human_development_index |
Human development index | float | SEL | 0% | 75 | 0.489, 0.459, 0.513, 0.464, 0.489 |
health_index |
Health index | float | SEL | 0% | 81 | 0.548, 0.542, 0.568, 0.47, 0.555 |
education_index |
Education index | float | SEL | 0% | 88 | 0.413, 0.355, 0.447, 0.436, 0.415 |
income_index |
Income index | float | SEL | 0% | 48 | 0.519, 0.502, 0.533, 0.488, 0.506 |
life_expectancy |
Life expectancy | float | SEL | 0% | 100 | 55.62, 55.23, 56.9, 50.57, 56.1 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 90 | 6.189, 5.326, 6.635, 6.635, 6.232 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 25 | 1990, 1990, 1990, 1990, 1991 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, national |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KM, KM, KM, KM, KM |
population_count |
Population count | float | SEL | 2% | 65 | 197700.0, 201201.0, 204702.0, 208185.0, 211644.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 40.777, 41.157, 41.534, 41.909, 42.328 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 32% | 45 | 720.685109658453, 613.038043236083, 566.033006092361,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 47.9199981689453, 68.25, 73.7981579213275, 75.8250571350015 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 18% | 54 | 231.6, 225.4, 219.5, 213.8, 208.3 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 42.4, 44.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Comoros, Comoros, Comoros, Comoros, Comoros |
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 | KM, KM, KM, KM, KM |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 40.777, 41.157, 41.534, 41.909, 42.328 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 23% | 51 | 80.5, 79.7, 79.3, 79.0, 78.2 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 18% | 54 | 231.6, 225.4, 219.5, 213.8, 208.3 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 39 | 850.0, 825.0, 811.0, 791.0, 768.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 6.792, 6.849, 6.897, 6.916, 6.938 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 49.392, 49.37, 49.283, 48.98, 48.719 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 24.677, 24.387, 24.089, 23.766, 23.402 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 80% | 13 | 0.084, 0.163, 0.113, 0.127, 0.074 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 94% | 4 | 3.12490010261536, 2.7616000175, 2.2, 2.16 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 38% | 27 | 31.0, 51.0, 71.0, 71.0, 43.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 7.51525021, 6.6571784, 6.68594599, 6.66024828, 6.58576155 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Comoros, Comoros, Comoros, Comoros, Comoros |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 1.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 110.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .km |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 36.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
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 | 8,200 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 8200.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 1 (2023 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 934,000 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 934000.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 110 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | national state-owned TV station and a TV station run by... |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 36% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 3,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 3000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.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 | 3600.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 1.546 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 44.8 |
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
economic_overview_text |
economic_overview_text | string | 0% | 1 | small trade-based island economy; declining remittances;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -19.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $3.092 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 | 3.092 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $2.99 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 | 2.99 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $2.901 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 | 2.901 |
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 | 3.4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 3.1% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 3.1 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 2.8% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 2.8 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $3,600 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $3,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 3500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $3,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 3500.0 |
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 | $1.546 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_text |
Inflation rate consumer prices 2017 (text) | string | 0% | 1 | 1% (2017 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_numeric |
Inflation rate consumer prices 2017 (numeric) | float | 0% | 1 | 1.0 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2016_text |
Inflation rate consumer prices 2016 (text) | string | 0% | 1 | 1.8% (2016 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2016_numeric |
Inflation rate consumer prices 2016 (numeric) | float | 0% | 1 | 1.8 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 36.6% (2024 est.) |
gdp_composition_by_sector_of_origin_agriculture_numeric |
gdp_composition_by_sector_of_origin_agriculture_numeric | float | 0% | 1 | 36.6 |
| +106 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 | 89.9 |
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
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 | 89.9% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 100% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 100.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 82.9% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 82.9 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 32,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 32000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 113.052 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 113.052 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 22.1 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 22.1 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 100% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 100.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 2,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 2000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 3,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 3000.0 |
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 | 7.139 million Btu/person (2023 est.) |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric |
energy_consumption_per_capita_total_energy_consumption_per_capita_2023_numeric | float | 0% | 1 | 7.139 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 71.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 17.8 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 30.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.97 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 91000.0 |
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation; soil degradation and erosion from forest... |
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 marine; rainy season (November to May) |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 71.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 34.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 34.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 28.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 28.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 8.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 8.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 17.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 10.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 10.7 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 30.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.97% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 436,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 436000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 436,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_numeric | float | 0% | 1 | 436000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 14.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 14.5 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 91,000 tons (2024 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_text | string | 0% | 1 | 10.1% (2022 est.) |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric |
waste_and_recycling_percent_of_municipal_solid_waste_recycled_numeric | float | 0% | 1 | 10.1 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 4.8 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 4.8 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 500,000 cubic meters (2022 est.) |
total_water_withdrawal_industrial_numeric |
total_water_withdrawal_industrial_numeric | float | 0% | 1 | 500000.0 |
total_water_withdrawal_agricultural_text |
total_water_withdrawal_agricultural_text | string | 0% | 1 | 4.7 million cubic meters (2022 est.) |
| +5 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 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
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 | Comoran(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Comoran |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Antalote, Cafre, Makoa, Oimatsaha, Sakalava |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 2235.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 2235.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 0.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 0.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 340.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2360.0 |
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 | 71.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 17.8 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1.3 |
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Southern Africa, group of islands at the northern mouth... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 12 10 S, 44 15 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 12.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 2,235 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 2,235 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 0 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly more than 12 times the size of Washington, D.C. |
area_comparative_numeric |
area_comparative_numeric | float | 0% | 1 | 12.0 |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 0 km |
coastline_text |
coastline_text | string | 0% | 1 | 340 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical marine; rainy season (November to May) |
terrain_text |
terrain_text | string | 0% | 1 | volcanic islands, interiors vary from steep mountains to... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Karthala 2,360 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Indian Ocean 0 m |
natural_resources_text |
natural_resources_text | string | 0% | 1 | fish |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 71.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 34.9% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 34.9 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 28.5% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 28.5 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 8.1% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 8.1 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 17.8% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 10.7% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 10.7 |
| +7 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 | COM |
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 | Union of the Comoros |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Comoros |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Udzima wa Komori (Comorian)/Union des Comores... |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Komori (Comorian)/Les Comores (French)/Juzur al Qamar (Arabic) |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Comorian State, Federal Islamic Republic of the Comoros |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name derives from the Arabic al qamar, meaning "the moon" |
government_type_text |
government_type_text | string | 0% | 1 | federal presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Moroni |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 11 42 S, 43 14 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 11.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+3 (8 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name means "at the place of fire," referring to the... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 3 islands; Anjouan (Ndzuwani), Grande Comore... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 3.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed legal system of Islamic religious law, the French... |
legal_system_numeric |
legal_system_numeric | float | 0% | 1 | 1975.0 |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1996, 2001; newest adopted 30 July 2018 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1996.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the union or supported by... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of the Comoros |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President AZALI Assoumani (since 26 May 2016) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 26.0 |
| +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 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | For centuries prior to colonization in the 19th century,... |
background_numeric |
background_numeric | float | 0% | 1 | 19.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Arabic (official), French (official), Shikomoro... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
refugees_and_internally_displaced_persons_refugees_text |
refugees_and_internally_displaced_persons_refugees_text | string | 0% | 1 | 18 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 18.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 38 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 38.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
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 | National Army for Development (l'Armee Nationale de... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2024.0 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 600 Defense Force; estimated 500 Federal Police (2023) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 600.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the AND is lightly armed and equipped with small arms, a... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2024.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-25 years of age for voluntary military service for... |
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 focus for the security forces is search and rescue... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2024.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 911707.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 441215.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 470492.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 32.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 62.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 4.6 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 57.3 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 49.9 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 7.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 23.1 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.26 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 21.12 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.38 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -2.17 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 30.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.97 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.03 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 0.94 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 179.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 53.9 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 67.8 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.52 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.24 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.42 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 75.8 |
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
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 | 911,707 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 441,215 |
population_female_text |
population_female_text | string | 0% | 1 | 470,492 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 32.6% (male 146,480/female 146,626) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 62.8% (male 271,139/female 294,231) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 4.6% (2024 est.) (male 18,139/female 23,526) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 57.3 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 49.9 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 7.4 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 13.5 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 13.5 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 23.1 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 22.1 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 22.1 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 23.3 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 23.3 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.26% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 21.12 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.38 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -2.17 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the capital city of Maroni, on the western side of the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 30.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.97% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 62,000 MORONI (capital) (2018) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 62000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.0 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.92 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.92 |
| +74 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 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 98.1 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 0.6 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 98.1% (overwhelmingly Sunni Muslim, small Shia... |
religions_numeric |
religions_numeric | float | 0% | 1 | 98.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_ethnic_religionist_pct_synth |
ethnic religionist | numeric | 0% | - | 1.1 |
composition_ethnicity_antalote_pct_synth |
Antalote | numeric | 0% | - | - |
composition_ethnicity_cafre_pct_synth |
Cafre | numeric | 0% | - | - |
composition_ethnicity_makoa_pct_synth |
Makoa | numeric | 0% | - | - |
composition_ethnicity_oimatsaha_pct_synth |
Oimatsaha | numeric | 0% | - | - |
composition_ethnicity_sakalava_pct_synth |
Sakalava | numeric | 0% | - | - |
| 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 | D6 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 3.0 |
country_code |
Country code | string | SEL | 0% | 1 | COM |
country_name |
Country name | string | SEL | 0% | 1 | Comoros |
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 | 6.0 |
airports_text |
airports_text | string | 0% | 1 | 3 (2025) |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 273 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 273.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 17, container ship 7, general cargo 125,... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 17.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 4 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 4.0 |
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 | 0 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 0.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 4 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 4.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 3 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 3.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Dzaoudzi, Fomboni, Moroni, Moutsamoudu |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cn.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 3 | 57.2, 51.4, 75.3 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 3 | 69.4, 72.0, 82.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Comoros, Comoros, Comoros |
survey_year |
survey_year | integer | 0% | 1 | 2012, 2012, 2012 |
region |
region | string | 0% | 3 | Mwali, Ndzuwani, Ngazidja |
survey_id |
survey_id | string | 0% | 1 | KM2012DHS, KM2012DHS, KM2012DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 6 | 7.0, 7.2, 5.8, 9.6, 9.1 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 6 | 118.0, 32.0, 83.0, 34.0, 79.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 6 | 57.7, 62.6, 47.2, 50.2, 61.7 |
children_underweight |
Children underweight | float | CCL | 0% | 6 | 22.7, 14.5, 26.5, 19.1, 16.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Comoros, Comoros, Comoros, Comoros, Comoros |
survey_year |
survey_year | integer | 0% | 2 | 1996, 2012, 1996, 2012, 1996 |
region |
region | string | 0% | 3 | Mwali, Mwali, Ndzuwani, Ndzuwani, Ngazidja |
survey_id |
survey_id | string | 0% | 2 | KM1996DHS, KM2012DHS, KM1996DHS, KM2012DHS, KM1996DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COM |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Comoros |
admin_code |
Admin code | string | SEL | 0% | 1 | 59328049B71413057484473 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 1650.1709 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 816440 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 494.76 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COM, COM, COM |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 3 | Grande Comore, Anjouan, Moheli |
admin_code |
Admin code | string | SEL | 0% | 3 | 22816118B95538827312271, 22816118B92166148047088,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 3 | 1014.9658, 427.302, 207.8526 |
pop_2024 |
Population count | integer | SEL | 0% | 3 | 424255, 343538, 48647 |
pop_density_2024 |
Population density | float | SEL | 0% | 3 | 418.0, 803.97, 234.05 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COM, COM |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality |
admin_name |
Admin name | string | SEL | 0% | 2 | Moroni, Fomboni |
admin_code |
Admin code | integer | SEL | 0% | 2 | 148, 320 |
area_sqkm |
Area sqkm | float | SEL | 0% | 2 | 35.7784, 13.9147 |
pop_2024 |
Population count | integer | SEL | 0% | 2 | 156304, 27026 |
pop_density_2024 |
Population density | float | SEL | 0% | 2 | 4368.67, 1942.26 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 2 | 175832, 236188 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 2 | 0.889, 0.114 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 5 | maor1244, mwal1237, ndzw1235, ngaz1238, stan1318 |
name |
Name | string | CCL | 0% | 5 | Maore Comorian, Mwali Comorian, Ndzwani Comorian,... |
iso639_3 |
Iso639 3 | string | CCL | 0% | 5 | swb, wlc, wni, zdj, arb |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 2 | atla1278, atla1278, atla1278, atla1278, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 3 | shin1269, como1260, shin1269, como1260, arab1395 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 3 | ['FR', 'KM', 'MG', 'RE', 'YT'], ['KM'], ['KM'], ['KM'],... |
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% | 2 | 2, 0, 0, 0, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 5 | -12.830306, -12.3164, -12.2123, -11.6129, 27.9625 |
longitude |
longitude | float | 0% | 5 | 45.154942, 43.741, 44.3709, 43.36, 43.8525 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | COM, COM, COM, COM |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | ara, fra, swb, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | Arabic, French, Comorian, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 40, 19, 10, 6 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 53.3333, 25.3333, 13.3333, 8.0 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 19, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 2 | Arab, , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 2 | Arabic, , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 2 | 1, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | COM |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Comoros |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 1 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.7954 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 19 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 1466 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 1134 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 1463 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 538 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 400 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 493 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 380 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 297 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 263 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 51 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 4 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 44 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 44 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 22 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 22 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 21 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 21 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 3 | KM3, KM1, KM2 |
region_name |
Region name | string | SEL | 0% | 3 | Mwali, Ndzuwani, Ngazidja |
F_TL |
Female population | integer | SEL | 0% | 3 | 24947, 162272, 189284 |
M_TL |
Male population | integer | SEL | 0% | 3 | 26619, 165109, 190080 |
T_TL |
Total population | integer | SEL | 0% | 3 | 51566, 327381, 379364 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2017, 2017, 2017 |
ISO3 |
ISO3 | string | 0% | 1 | COM, COM, COM |
F_00_04 |
Female population age 0-4 | integer | 0% | 3 | 4122, 24571, 21844 |
F_05_09 |
Female population age 5-9 | integer | 0% | 3 | 3743, 24213, 20530 |
F_10_14 |
Female population age 10-14 | integer | 0% | 3 | 3186, 20929, 19199 |
F_15_19 |
Female population age 15-19 | integer | 0% | 3 | 2696, 18568, 18681 |
F_20_24 |
Female population age 20-24 | integer | 0% | 3 | 2100, 13445, 16159 |
F_25_29 |
Female population age 25-29 | integer | 0% | 3 | 1860, 12061, 16053 |
F_30_34 |
Female population age 30-34 | integer | 0% | 3 | 1673, 9314, 14508 |
F_35_39 |
Female population age 35-39 | integer | 0% | 3 | 1377, 8621, 13076 |
F_40_44 |
Female population age 40-44 | integer | 0% | 3 | 1091, 7102, 10080 |
F_45_49 |
Female population age 45-49 | integer | 0% | 3 | 770, 6066, 7979 |
F_50_54 |
Female population age 50-54 | integer | 0% | 3 | 642, 4684, 6718 |
F_55_59 |
Female population age 55-59 | integer | 0% | 3 | 445, 3443, 5738 |
F_60_64 |
Female population age 60-64 | integer | 0% | 3 | 425, 2673, 5012 |
F_65_69 |
Female population age 65-69 | integer | 0% | 3 | 250, 2247, 3775 |
F_70_74 |
Female population age 70-74 | integer | 0% | 3 | 214, 1724, 3597 |
F_75_79 |
Female population age 75-79 | integer | 0% | 3 | 127, 1138, 2187 |
F_80_84 |
Female population age 80-84 | integer | 0% | 3 | 125, 762, 2039 |
F_85Plus |
F_85Plus | integer | 0% | 3 | 101, 711, 2109 |
M_00_04 |
Male population age 0-4 | integer | 0% | 3 | 4256, 25973, 22814 |
M_05_09 |
Male population age 5-9 | integer | 0% | 3 | 3923, 25550, 21373 |
M_10_14 |
Male population age 10-14 | integer | 0% | 3 | 3475, 22512, 20838 |
M_15_19 |
Male population age 15-19 | integer | 0% | 3 | 2965, 18420, 20093 |
M_20_24 |
Male population age 20-24 | integer | 0% | 3 | 1918, 11624, 15914 |
M_25_29 |
Male population age 25-29 | integer | 0% | 3 | 1666, 10866, 14921 |
M_30_34 |
Male population age 30-34 | integer | 0% | 3 | 1761, 9492, 14232 |
M_35_39 |
Male population age 35-39 | integer | 0% | 3 | 1496, 8729, 13005 |
M_40_44 |
Male population age 40-44 | integer | 0% | 3 | 1343, 7482, 10648 |
| +27 more pending 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 | COM, COM, COM |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 3 | Ngazidja Comorans, Nzwani Comorans, Mwali Comorans |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | DOMINANT, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 3 | 0.505, 0.443, 0.052 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 3 | 58103000, 58101000, 58102000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 2 | Fomboni, Moroni |
country_code |
Country code | string | SEL | 0% | 1 | COM, COM |
population |
Population count | integer | SEL | 0% | 2 | 236188, 175832 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 2 | 320, 148 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Comoros, Comoros |
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 | COM |
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 | 122 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 4 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 4 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 4 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 148 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 3.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 3.5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | 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 | integer | 0% | 1 | 3 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 2 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 164 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 2 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 2 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 1.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 152 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 4.1 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 3.88 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 4.38 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 157 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 3.73 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 3.85 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 3.1 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 143 |
| +103 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| Arabic (ara) | 40 | 53.3% | Arabic |
| French (fra) | 19 | 25.3% | — |
| Comorian (swb) | 10 | 13.3% | — |
| English (eng) | 6 | 8.0% | — |
1,134 distinct features ·
4 languages ·
1 script ·
19 names in non-Roman script ·
3 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 |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| Glottolog Language Catalog | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| USAID DHS Program (US Agency for International Development · Demographic and Health Surveys) | international_organization | api |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.