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