| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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 |
|---|---|---|---|---|---|---|
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 | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | 0% | 1 | - |
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
| +5 more extension fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge.
| Language | Place names | Share | Script |
|---|---|---|---|
| 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.