ⓘ 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 | GNB, GNB, GNB, GNB, GNB |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 10 | Total, Bafata, Biombo, Bissau, Bolama |
human_development_index |
Human development index | float | SEL | 0% | 75 | 0.408, 0.337, 0.344, 0.57, 0.416 |
health_index |
Health index | float | SEL | 0% | 70 | 0.414, 0.408, 0.396, 0.485, 0.48 |
education_index |
Education index | float | SEL | 0% | 93 | 0.367, 0.222, 0.26, 0.683, 0.378 |
income_index |
Income index | float | SEL | 0% | 53 | 0.448, 0.423, 0.395, 0.559, 0.398 |
life_expectancy |
Life expectancy | float | SEL | 0% | 94 | 46.89, 46.52, 45.74, 51.54, 51.22 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 99 | 5.51, 2.316, 3.73, 13.0, 4.998 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GW, GW, GW, GW, GW |
population_count |
Population count | float | SEL | 2% | 65 | 577633.0, 582532.0, 589474.0, 594418.0, 588543.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 37.554, 37.788, 38.032, 35.644, 35.807 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 17% | 55 | 350.221594962107, 348.277009620267, 388.643761374553,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 94% | 4 | 19.9599990844727, 41.3600006103516, 54.8800010681152,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 41% | 39 | 244.1, 239.5, 234.9, 230.7, 226.6 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 91% | 6 | 49.0, 58.5, 64.7, 48.7, 47.7 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Guinea-Bissau, Guinea-Bissau, Guinea-Bissau,... |
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 | GW, GW, GW, GW, GW |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 37.554, 37.788, 38.032, 35.644, 35.807 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 44% | 37 | 64.9, 64.4, 63.9, 63.4, 62.9 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 41% | 39 | 244.1, 239.5, 234.9, 230.7, 226.6 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 38 | 1851.0, 1825.0, 1796.0, 1759.0, 1698.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 5.921, 5.931, 5.941, 5.951, 5.961 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 45.354, 45.226, 44.614, 44.07, 44.019 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 26.972, 26.761, 26.526, 28.611, 28.747 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 76% | 15 | 0.045, 0.052, 0.141, 0.144, 0.177 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 91% | 6 | 1.62118494510651, 1.57459998130798, 1.8860000371933,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 27 | 9.0, 18.0, 18.0, 47.0, 55.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 4.18953228, 4.12891531, 3.87280011, 3.50201416, 4.27070189 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Guinea-Bissau, Guinea-Bissau, Guinea-Bissau,... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 34 | aram1260, bady1239, bain1259, bain1260, bain1261 |
name |
Name | string | CCL | 0% | 34 | Arame-Gubaare, Jaad-Badyara, Bainounk-Gujaher,... |
iso639_3 |
Iso639 3 | string | CCL | 6% | 32 | pbp, bab, bcb, bcz, ble |
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% | 6 | atla1278, atla1278, atla1278, book1242, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 24 | bayo1262, jaad1234, bain1264, book1242, bain1264 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 13 | ['GW'], ['GN', 'GW', 'SN'], ['GW', 'SN'], ['GW', 'SN'],... |
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% | 7 | 2, 0, 0, 0, 2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 3% | 33 | 12.299274, 12.6425, 12.3128, 12.5053, 12.8672 |
longitude |
longitude | float | 3% | 33 | -16.373202, -13.4759, -16.0586, -15.9969, -16.229 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | 2022.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 126.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .gw |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 33.0 |
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 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 | 0 (2022 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 0.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 2.76 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 2.76 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 126 (2022 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 1 state-owned TV station, Televisao da Guine-Bissau... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 1.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 33% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 7,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 7000.0 |
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/pu.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 | 2700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 2.12 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 50.5 |
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 | extremely poor West African economy; ethnically diverse... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $5.912 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 | 5.912 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $5.64 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 | 5.64 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $5.399 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 | 5.399 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 4.8% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.8 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 4.5% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 4.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 5.6% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 5.6 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $2,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $2,600 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 2600.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $2,600 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 2600.0 |
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 | $2.12 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 3.8% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 3.8 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 7.1% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 7.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 9.4% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 9.4 |
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 | 36.8% (2024 est.) |
| +110 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 | 37.4 |
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 | 37.4% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 61% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 61.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 15.8% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 15.8 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 29,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 29000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 79.8 million kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 79.8 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 6 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 6.0 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 96.5% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 96.5 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 3.5% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 3.5 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 1 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 1.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 2,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 2000.0 |
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 | 2.351 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 | 2.351 |
source_section |
source_section | string | 0% | 1 | Energy |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/pu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 29.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 75.0 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 45.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.22 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 289500.0 |
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 (overharvesting of trees for timber and... |
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; generally hot and humid; monsoonal-type rainy... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 29.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 14.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 14.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 8.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 8.9 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 6.9% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 6.9 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 75% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 0% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 0.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 45.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.22% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 366,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 366000.0 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 1 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 | 1.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 366,000 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 | 366000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 42.6 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 42.6 |
waste_and_recycling_municipal_solid_waste_generated_annually_text |
waste_and_recycling_municipal_solid_waste_generated_annually_text | string | 0% | 1 | 289,500 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 | 34.1 million cubic meters (2022 est.) |
total_water_withdrawal_municipal_numeric |
total_water_withdrawal_municipal_numeric | float | 0% | 1 | 34.1 |
total_water_withdrawal_industrial_text |
total_water_withdrawal_industrial_text | string | 0% | 1 | 11.9 million 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 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 | Bissau-Guinean(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Bissau-Guinean |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Balanta 30%, Fulani 30%, Manjaco 14%, Mandinga 13%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 30.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/pu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 36125.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 28120.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 8005.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 762.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 350.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 277.0 |
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 | 29.9 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 75.0 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 250.0 |
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Western Africa, bordering the North Atlantic Ocean,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 12 00 N, 15 00 W |
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 | 36,125 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 28,120 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 8,005 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than three times the size of Connecticut |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 762 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Guinea 421 km; Senegal 341 km |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 421.0 |
coastline_text |
coastline_text | string | 0% | 1 | 350 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; generally hot and humid; monsoonal-type rainy... |
terrain_text |
terrain_text | string | 0% | 1 | mostly low-lying coastal plain with a deeply indented... |
terrain_numeric |
terrain_numeric | float | 0% | 1 | 18.0 |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Dongol Ronde 277 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Atlantic Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 70 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 70.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | fish, timber, phosphates, bauxite, clay, granite,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 29.9% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 14.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 14.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 8.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 8.9 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 6.9% (2023 est.) |
| +11 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 | GNB |
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 Guinea-Bissau |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Guinea-Bissau |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republica da Guine-Bissau |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Guine-Bissau |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Portuguese Guinea |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | the country is partly named after the Guinea region of... |
government_type_text |
government_type_text | string | 0% | 1 | semi-presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Bissau |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 11 51 N, 15 35 W |
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 0 (5 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 0.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name is derived from the local Bijuga people and is... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 9 regions (regioes, singular - regiao); Bafata, Biombo,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 9.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of civil law, which incorporated Portuguese... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | promulgated 16 May 1984 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 16.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the National People’s Assembly if supported... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | accepts compulsory ICJ jurisdiction; non-party state to the ICCt |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | yes |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | yes |
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 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
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 | Interim President Gen. Horta Nta Na MAN (since 27 November 2025) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 27.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | Interim Prime Minister Ilídio Vieira TE (since 28 November 2025) |
| +66 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 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | For much of its history, Guinea-Bissau was under the... |
background_numeric |
background_numeric | float | 0% | 1 | 16.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/pu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | Portuguese-based Creole, Portuguese (official; largely... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/pu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 | 54 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 54.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/pu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 | People's Revolutionary Armed Force (Forcas Armadas... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.4% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.4 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.5% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.5% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.5 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 4,000 active FARP (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 4000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FARP is outfitted mostly with Soviet-era weapons and... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2025.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-25 years of age for selective compulsory military... |
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 Armed Forces (FARP) are focused on external... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2000.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/pu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 2132325.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 1042910.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 1089415.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 42.3 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 54.6 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.1 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 83.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 77.5 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.7 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 18.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.55 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 35.82 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.99 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -3.36 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 45.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.22 |
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 | 0.96 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 505.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 45.1 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 64.5 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 4.59 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.26 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.25 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 63.9 |
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 | 2,132,325 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 1,042,910 |
population_female_text |
population_female_text | string | 0% | 1 | 1,089,415 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 42.3% (male 453,513/female 448,514) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 54.6% (male 561,868/female 602,280) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.1% (2024 est.) (male 27,529/female 38,621) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 83.2 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 77.5 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.7 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 17.6 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 17.6 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 18.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 17.8 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 17.8 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 18.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 18.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.55% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 35.82 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.99 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -3.36 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | approximately one fifth of the population lives in the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 45.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.22% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 664,000 BISSAU (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 664000.0 |
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 | 0.93 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 0.93 |
| +82 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 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 46.1 |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 18.9 |
composition_ethnicity_primary_label_synth |
Balanta | string | CCL | 0% | - | Balanta |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 46.1%, folk religions 30.6%, Christian 18.9%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 46.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/pu.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_folk_religions_pct_synth |
folk religions | numeric | 0% | - | 30.6 |
composition_religion_other_or_unaffiliated_pct_synth |
other or unaffiliated | numeric | 0% | - | 4.4 |
composition_ethnicity_balanta_pct_synth |
Balanta | numeric | 0% | - | 30.0 |
composition_ethnicity_fulani_pct_synth |
Fulani | numeric | 0% | - | 30.0 |
composition_ethnicity_manjaco_pct_synth |
Manjaco | numeric | 0% | - | 14.0 |
composition_ethnicity_mandinga_pct_synth |
Mandinga | numeric | 0% | - | 13.0 |
composition_ethnicity_papel_pct_synth |
Papel | numeric | 0% | - | 7.0 |
composition_ethnicity_unspecified_smaller_ethnic_groups_pct_synth |
unspecified smaller ethnic groups | numeric | 0% | - | 6.0 |
composition_ethnicity_primary_share_pct_synth |
Balanta | numeric | 0% | - | 30.0 |
| 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 | J5 |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 7.0 |
country_code |
Country code | string | SEL | 0% | 1 | GNB |
country_name |
Country name | string | SEL | 0% | 1 | Guinea-Bissau |
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 | 5.0 |
airports_text |
airports_text | string | 0% | 1 | 7 (2025) |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 20 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 20.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 3, general cargo 12, other 5 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 3.0 |
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 | 0 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 0.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 2 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 2.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 1 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 1.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Bissau, Rio Cacheu |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/pu.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNB |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Guinea-Bissau |
admin_code |
Admin code | string | SEL | 0% | 1 | 84417234B62565871353209 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 35271.219 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 2123937 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 60.22 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNB, GNB, GNB, GNB, GNB |
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% | 9 | Bissau, Bafatá, Oio, Gabu, Cacheu |
admin_code |
Admin code | string | SEL | 0% | 9 | 76643164B96925829526723, 76643164B84174472060432,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 9 | 188.1947, 5989.8525, 5677.4152, 9099.5984, 5185.9254 |
pop_2024 |
Population count | integer | SEL | 0% | 9 | 517632, 310662, 310420, 295412, 272978 |
pop_density_2024 |
Population density | float | SEL | 0% | 9 | 2750.51, 51.86, 54.68, 32.46, 52.64 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNB, GNB, GNB |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 3 | Bissau, Bafatá, Gabu |
admin_code |
Admin code | integer | SEL | 0% | 3 | 43, 224, 383 |
area_sqkm |
Area sqkm | float | SEL | 0% | 3 | 82.4903, 9.939, 10.933 |
pop_2024 |
Population count | integer | SEL | 0% | 3 | 547782, 77778, 55855 |
pop_density_2024 |
Population density | float | SEL | 0% | 3 | 6640.56, 7825.54, 5108.84 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 3 | 674444, 69725, 86491 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 3 | 0.812, 1.116, 0.646 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GNB, GNB, GNB, GNB, GNB |
gns_language_code |
gns_language_code | string | CCL | 0% | 5 | eng, por, spa, deu, fra |
gns_language_name |
gns_language_name | string | CCL | 0% | 5 | English, Portuguese, Spanish, German, French |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 4, 2, 1, 1, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 44.4444, 22.2222, 11.1111, 11.1111, 11.1111 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GNB |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Guinea-Bissau |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 5 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9774 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 8846 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 6936 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 8844 |
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_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 5513 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 4295 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 2758 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2233 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 457 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 320 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 31 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 23 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 15 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 14 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 43 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 41 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 29 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 10 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNB, GNB, GNB, GNB, GNB |
society_id |
Society id | string | CCL | 0% | 5 | Ag15, Ag16, Ag17, Ag18, Ag20 |
society_name |
Society name | string | CCL | 0% | 5 | Balanta, Banyun, Biafada, Bijogo, Papel |
language_glottocode |
Language glottocode | string | CCL | 0% | 5 | bala1301, bain1259, biaf1240, bidy1244, pape1239 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 5 | EA001:0; EA002:1; EA003:1; EA004:2; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 5 | EA006:1; EA007:8; EA008:8; EA009:6; EA010:8, EA006:2;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:3; EA029:6; EA030:7; EA031:NA; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 3 | EA033:1; EA034:NA; EA035:NA, EA033:1; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:NA; EA112:NA, EA034:NA; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 2 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Guinea-Bissau, Guinea-Bissau, Guinea-Bissau,... |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 2 | 12.0, 12.0, 12.0, 11.1, 12.0 |
longitude |
longitude | float | 0% | 3 | -16.0, -16.0, -15.0, -16.15, -16.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GNB, GNB, GNB, GNB |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 4 | Balanta, Manjaco, Papel, Cape Verdean |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | SENIOR PARTNER, SENIOR PARTNER, SENIOR PARTNER, IRRELEVANT |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 4 | 0.3, 0.14, 0.07, 0.02 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 4 | 40401000, 40403000, 40405000, 40406000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 2 | false, false, false, |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 2021, 2021, 2021 |
group_relevance |
group_relevance | string | 0% | 1 | , , , |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 3 | Bissau, Gabu, Bafatá |
country_code |
Country code | string | SEL | 0% | 1 | GNB, GNB, GNB |
population |
Population count | integer | SEL | 0% | 3 | 674444, 86491, 69725 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 3 | 43, 383, 224 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Guinea-Bissau, Guinea-Bissau, Guinea-Bissau |
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 |
|---|---|---|---|---|---|---|
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 | GNB |
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 | 160 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 3 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | float | 0% | 1 | 2.5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | float | 0% | 1 | 2.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 106 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 5.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 5.5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | float | 0% | 1 | 4.5 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 145 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | integer | 0% | 1 | 5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 5.5 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 5 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 7 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 8.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 8 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 7 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 78 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 5.6 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | integer | 0% | 1 | 6 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 5.63 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 136 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 4.6 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 4.9 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 4.35 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 7 |
| +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 |
|---|---|---|---|
| English (eng) | 4 | 44.4% | — |
| Portuguese (por) | 2 | 22.2% | — |
| Spanish (spa) | 1 | 11.1% | — |
| German (deu) | 1 | 11.1% | — |
| French (fra) | 1 | 11.1% | — |
6,936 distinct features ·
5 languages ·
0 scripts ·
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 |
|---|---|---|
| NGA GEOnet Names Server (GNS) | official_government | bulk_download |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| Glottolog Language Catalog | academic | bulk_download |
| Global Data Lab | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| Ethnic Power Relations Dataset | academic | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.