| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJ, DJ, DJ, DJ, DJ |
population_count |
Population count | float | SEL | 2% | 65 | 86024.0, 89390.0, 93283.0, 97872.0, 103198.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.421, 43.781, 44.092, 44.442, 44.812 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 41% | 39 | 846.785538068015, 821.682570354282, 816.874614065329,... |
literacy_rate_pct |
Literacy rate percent | string | SEL | 100% | - | - |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 27% | 48 | 171.0, 166.3, 161.7, 157.0, 152.6 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 99% | 1 | 21.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Djibouti, Djibouti, Djibouti, Djibouti, Djibouti |
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 | DJ, DJ, DJ, DJ, DJ |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 43.421, 43.781, 44.092, 44.442, 44.812 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 32% | 45 | 57.4, 56.5, 55.7, 54.9, 54.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 27% | 48 | 171.0, 166.3, 161.7, 157.0, 152.6 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 38 | 821.0, 804.0, 785.0, 768.0, 746.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.847, 6.848, 6.854, 6.86, 6.872 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 20.175, 19.936, 19.698, 19.435, 19.162 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 80% | 13 | 0.157, 0.284, 0.224, 0.238, 0.162 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 83% | 11 | 7.83132553100586, 6.07740020751953, 3.61050009727478,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 35% | 29 | 6.0, 14.0, 21.0, 22.0, 24.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.39641857, 3.1960845, 3.75243783, 4.27048731, 3.53544688 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Djibouti, Djibouti, Djibouti, Djibouti, Djibouti |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI, DJI, DJI, DJI, DJI |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 3 | Total, Djibouti, Other Districts, Total, Djibouti |
human_development_index |
Human development index | float | SEL | 0% | 88 | 0.331, 0.337, 0.296, 0.33, 0.336 |
health_index |
Health index | float | SEL | 0% | 86 | 0.546, 0.531, 0.631, 0.541, 0.527 |
education_index |
Education index | float | SEL | 0% | 91 | 0.136, 0.143, 0.1, 0.141, 0.148 |
income_index |
Income index | float | SEL | 0% | 75 | 0.488, 0.504, 0.408, 0.471, 0.487 |
life_expectancy |
Life expectancy | float | SEL | 0% | 99 | 55.47, 54.52, 61.02, 55.19, 54.25 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 98 | 2.047, 2.224, 1.075, 2.112, 2.295 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 34 | 1990, 1990, 1990, 1991, 1991 |
level |
level | string | 0% | 2 | national, subnational, subnational, national, subnational |
| 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 | 3.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 49.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .dj |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 65.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 1.0 |
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | 28,700 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 28700.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 559,000 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 559000.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 49 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-owned Radiodiffusion-Télévision de Djibouti... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 65% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 17,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 17000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 1 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.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 | 6800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 4.086 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 21.1 |
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | food import-dependent Horn of Africa economy driven by... |
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 | $7.995 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 | 7.995 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $7.546 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 | 7.546 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $7.028 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 | 7.028 |
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 | 6% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 6.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 7.4% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 7.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.2% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.2 |
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 | $6,800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $6,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 6500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $6,200 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 6200.0 |
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 | $4.086 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 2.1% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 2.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 1.5% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 1.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 5.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 5.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +115 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 | 65.0 |
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | 65% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 72.8% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 72.8 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 36.6% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 36.6 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 210,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 210000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 584.997 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 584.997 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 512 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 512.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 128.74 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 128.74 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 65.3% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 65.3 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.5% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.5 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 34.2% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 34.2 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 8 metric tons (2023 est.) |
coal_exports_numeric |
coal_exports_numeric | float | 0% | 1 | 8.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 19,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 19000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 5,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 5000.0 |
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 | 10.428 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 | 10.428 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 73.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.3 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 78.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.56 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 115000.0 |
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | inadequate supplies of potable water; water pollution;... |
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 | desert; torrid, dry |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 73.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 73.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 73.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 0.3% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 26.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 26.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 78.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.56% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 685,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 685000.0 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 45,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 45000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 640,000 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 | 640000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 21 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 21.0 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 115,000 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 | 14.9% (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 | 14.9 |
total_water_withdrawal_municipal_text |
total_water_withdrawal_municipal_text | string | 0% | 1 | 16 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 16.0 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 0 cubic meters (2022 est.) |
| +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 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | Djiboutian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Djiboutian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Somali 60%, Afar 35%, other 5% (mostly Yemeni Arab, also... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 60.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 23200.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 23180.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 20.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 528.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 314.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 2021.0 |
elevation_lowest_point_numeric |
Elevation min m | float | SEL | 0% | 1 | -155.0 |
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 73.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 0.3 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 10.0 |
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern Africa, bordering the Gulf of Aden and the Red... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 11 30 N, 43 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 11.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 23,200 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 23,180 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 20 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than New Jersey |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 528 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Eritrea 125 km; Ethiopia 342 km; Somalia 61 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 125.0 |
coastline_text |
coastline_text | string | 0% | 1 | 314 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_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
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 | desert; torrid, dry |
terrain_text |
terrain_text | string | 0% | 1 | coastal plain and plateau separated by central mountains |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Moussa Ali 2,021 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Lac Assal -155 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 430 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 430.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | potential geothermal power, gold, clay, granite,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 73.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 0.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 0.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.0 |
| +14 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 | DJI |
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 | Republic of Djibouti |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Djibouti |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République de Djibouti (French)/ Jumhuriyat Jibuti (Arabic) |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Djibouti (French)/ Jibuti (Arabic) |
country_name_former_text |
country_name_former_text | string | 0% | 1 | French Somaliland, French Territory of the Afars and Issas |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country name derives from the capital city of Djibouti |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Djibouti |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 11 35 N, 43 09 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 is said to derive from the Afar word gabouri,... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 6 districts (cercles, singular - cercle); Ali Sabieh,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 6.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system based primarily on the French civil code... |
legal_system_numeric |
legal_system_numeric | float | 0% | 1 | 1997.0 |
constitution_history_text |
constitution_history_text | string | 0% | 1 | approved by referendum 4 September 1992 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 4.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or by the... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | the mother must be a citizen of Djibouti |
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 Ismail Omar GUELLEH (since 8 May 1999) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 8.0 |
| +71 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 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Present-day Djibouti was the site of the medieval Ifat... |
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/dj.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | French (official), Arabic (official), Somali, Afar |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | 32,636 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 32636.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — Djibouti does not fully meet the... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | Djibouti Armed Forces (Forces Armées Djiboutiennes or... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2019_text |
Military expenditures 2019 (text) | string | 0% | 1 | 3.5% of GDP (2019 est.) |
military_expenditures_military_expenditures_2019_numeric |
Military expenditures 2019 (numeric) | float | 0% | 1 | 3.5 |
military_expenditures_military_expenditures_2018_text |
Military expenditures 2018 (text) | string | 0% | 1 | 3.5% of GDP (2018 est.) |
military_expenditures_military_expenditures_2018_numeric |
Military expenditures 2018 (numeric) | float | 0% | 1 | 3.5 |
military_expenditures_military_expenditures_2017_text |
Military expenditures 2017 (text) | string | 0% | 1 | 3.3% of GDP (2017 est.) |
military_expenditures_military_expenditures_2017_numeric |
Military expenditures 2017 (numeric) | float | 0% | 1 | 3.3 |
military_expenditures_military_expenditures_2016_text |
Military expenditures 2016 (text) | string | 0% | 1 | 2.7% of GDP (2016 est.) |
military_expenditures_military_expenditures_2016_numeric |
Military expenditures 2016 (numeric) | float | 0% | 1 | 2.7 |
military_expenditures_military_expenditures_2015_text |
Military expenditures 2015 (text) | string | 0% | 1 | 2.5% of GDP (2015 est.) |
military_expenditures_military_expenditures_2015_numeric |
Military expenditures 2015 (numeric) | float | 0% | 1 | 2.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 10-12,000 active Armed Forces, including... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 10.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FAD's inventory is a mix of mostly older or... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-26 years of age for voluntary military service (2025) |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | approximately 1,500 Somalia (AUSSOM) (2025) |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 1500.0 |
military_note_text |
military_note_text | string | 0% | 1 | Djibouti's military forces are largely focused on... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2025.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 1013703.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 458988.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 554715.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 28.4 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 67.4 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 4.2 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 48.1 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 41.7 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 6.4 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 26.7 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 1.84 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 21.46 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 7.0 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 3.94 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 78.6 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 1.56 |
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 | 0.83 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 162.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 44.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 65.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 2.09 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.03 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.21 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.4 |
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | 1,013,703 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 458,988 |
population_female_text |
population_female_text | string | 0% | 1 | 554,715 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 28.4% (male 141,829/female 140,696) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 67.4% (male 290,654/female 379,778) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 4.2% (2024 est.) (male 18,313/female 23,704) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 48.1 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 41.7 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 6.4 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 15.7 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 15.7 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 26.7 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 24.4 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 24.4 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 27.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 27.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 1.84% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 21.46 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 7 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 3.94 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | most densely populated areas are in the east; the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 78.6% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 1.56% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 600,000 DJIBOUTI (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 600000.0 |
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 | 1.01 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.01 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 0.77 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.77 |
| +72 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 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 6.0 |
composition_ethnicity_primary_label_synth |
Somali | string | CCL | 0% | - | Somali |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Sunni Muslim 94% (nearly all Djiboutians), other 6%... |
religions_numeric |
religions_numeric | float | 0% | 1 | 94.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_sunni_muslim_pct_synth |
Sunni Muslim | numeric | 0% | - | 94.0 |
composition_ethnicity_somali_pct_synth |
Somali | numeric | 0% | - | 60.0 |
composition_ethnicity_afar_pct_synth |
Afar | numeric | 0% | - | 35.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 5.0 |
composition_ethnicity_primary_share_pct_synth |
Somali | numeric | 0% | - | 60.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | al-Shabaab |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.json |
| 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 | J2 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 10.0 |
country_code |
Country code | string | SEL | 0% | 1 | DJI |
country_name |
Country name | string | SEL | 0% | 1 | Djibouti |
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 | 2.0 |
airports_text |
airports_text | string | 0% | 1 | 10 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 6 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 6.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 97 km (2017) (Djibouti segment of the 756 km Addis... |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 97.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 97 km (2017) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 97.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 40 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 40.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1, container ship 1, general cargo 4, oil... |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 2 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 2.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 0 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 0.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 2 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 2.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Djibouti, Doraleh |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/dj.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | The Repubic of Djibouti |
admin_code |
Admin code | string | SEL | 0% | 1 | 68745449B48312656270320 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 21847.8333 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 953144 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 43.63 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI, DJI, DJI, DJI, DJI |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
admin_name |
Admin name | string | SEL | 0% | 6 | Djibouti, Ali Sabieh, Dikhil, Tadjourah, Arta |
admin_code |
Admin code | string | SEL | 0% | 6 | 25444519B34443348585704, 25444519B7681288134121,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 6 | 178.9944, 1868.9291, 6814.0085, 6646.3903, 1720.2569 |
pop_2024 |
Population count | integer | SEL | 0% | 6 | 703673, 70943, 61785, 56303, 43343 |
pop_density_2024 |
Population density | float | SEL | 0% | 6 | 3931.26, 37.96, 9.07, 8.47, 25.2 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI, DJI, DJI |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 3 | Djibouti, Ali Sabieh, Tadjoura |
admin_code |
Admin code | integer | SEL | 0% | 3 | 474, 147, 319 |
area_sqkm |
Area sqkm | float | SEL | 0% | 3 | 68.5757, 4.9691, 6.957 |
pop_2024 |
Population count | integer | SEL | 0% | 3 | 708198, 34109, 29123 |
pop_density_2024 |
Population density | float | SEL | 0% | 3 | 10327.24, 6864.22, 4186.14 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 3 | 735132, 86781, 62279 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 3 | 0.963, 0.393, 0.468 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DJI, DJI, DJI, DJI, DJI |
gns_language_code |
gns_language_code | string | CCL | 0% | 6 | ara, fra, rus, eng, ita |
gns_language_name |
gns_language_name | string | CCL | 0% | 6 | Arabic, French, Russian, English, Italian |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 5 | 42, 31, 4, 3, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 5 | 51.2195, 37.8049, 4.878, 3.6585, 1.2195 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 2 | 20, 0, 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, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | DJI |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Djibouti |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 6 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 1 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9731 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 20 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 7436 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 5422 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 7434 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 2 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4336 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 3281 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 2538 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 1810 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 256 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 191 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 99 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 60 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 56 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 7 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 114 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 39 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 37 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 34 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 6 | DJ01, DJ02, DJ03, DJ04, DJ05 |
region_name |
Admin name | string | SEL | 0% | 6 | Obock, Tadjourah, Dilkhil, Djibouti, Ali Sabeh |
T_TL |
Population count | integer | SEL | 0% | 6 | 37856, 86704, 88948, 475322, 86949 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
admin_level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
year | integer | 0% | 1 | 2009, 2009, 2009, 2009, 2009 |
ADM0_EN |
ADM0_EN | string | 0% | 1 | Djibouti, Djibouti, Djibouti, Djibouti, Djibouti |
U_TL |
U_TL | integer | 0% | 6 | 9933, 12157, 19347, 353801, 22630 |
R_TL |
R_TL | string | 0% | 6 | 9780, 23482, 22510, , 11977 |
N_TL |
N_TL | string | 0% | 6 | 16370, 48402, 41552, , 37033 |
P_TL |
P_TL | integer | 0% | 6 | 1773, 2663, 5539, 121521, 15309 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 5 | afar1241, amha1245, soma1255, stan1318, tigr1271 |
name |
Name | string | CCL | 0% | 5 | Afar, Amharic, Somali, Standard Arabic, Tigrinya |
iso639_3 |
Iso639 3 | string | CCL | 0% | 5 | aar, amh, som, arb, tir |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 1 | afro1255, afro1255, afro1255, afro1255, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 5 | saho1245, amha1244, east2653, arab1395, ethi1244 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 5 | ['DJ', 'ER', 'ET'], ['DJ', 'ET'], ['DJ', 'ET', 'KE',... |
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% | 3 | 4, 5, 5, 2, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 5 | 12.2281, 11.708182, 4.778704, 27.9625, 15.3359 |
longitude |
longitude | float | 0% | 5 | 41.8083, 39.543456, 45.152856, 43.8525, 38.9266 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 3 | Djibouti, Ali Sabieh, Tadjoura |
country_code |
Country code | string | SEL | 0% | 1 | DJI, DJI, DJI |
population |
Population count | integer | SEL | 0% | 3 | 735132, 86781, 62279 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 3 | 474, 147, 319 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Djibouti, Djibouti, Djibouti |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | DJI, DJI |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 2 | Isaas (Somali), Afar |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | SENIOR PARTNER, JUNIOR PARTNER |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 2 | 0.55, 0.36 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 2 | 52201000, 52202000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , |
| 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 | DJI |
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 | 75 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 6 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 26 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 7.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 6 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 159 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 3.5 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 4 |
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 | float | 0% | 1 | 1.5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | float | 0% | 1 | 1.5 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 97 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | integer | 0% | 1 | 5 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 4.38 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | integer | 0% | 1 | 4 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 122 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.3 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 3.6 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 3.45 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 74 |
| +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) | 42 | 51.2% | Arabic |
| French (fra) | 31 | 37.8% | — |
| Russian (rus) | 4 | 4.9% | — |
| English (eng) | 3 | 3.7% | — |
| Italian (ita) | 1 | 1.2% | — |
| Somali (som) | 1 | 1.2% | — |
5,422 distinct features ·
6 languages ·
1 script ·
20 names in non-Roman script ·
2 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 |
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | 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.