| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB, GAB, GAB, GAB, GAB |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 11 | Total, Estuaire, Haut Ogooue, Libreville-Port Gentil,... |
human_development_index |
Human development index | float | SEL | 0% | 72 | 0.689, 0.636, 0.691, 0.741, 0.661 |
health_index |
Health index | float | SEL | 0% | 78 | 0.627, 0.591, 0.717, 0.621, 0.65 |
education_index |
Education index | float | SEL | 0% | 86 | 0.615, 0.55, 0.551, 0.71, 0.561 |
income_index |
Income index | float | SEL | 0% | 65 | 0.848, 0.792, 0.836, 0.924, 0.794 |
life_expectancy |
Life expectancy | float | SEL | 0% | 89 | 60.74, 58.44, 66.58, 60.36, 62.25 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 9.22, 7.553, 7.398, 11.98, 7.725 |
| 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 | GA, GA, GA, GA, GA |
population_count |
Population count | float | SEL | 2% | 65 | 512316.0, 518266.0, 524649.0, 531452.0, 538657.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 46.443, 47.115, 47.777, 48.425, 48.994 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 276.136169473227, 323.4592026542, 348.416820133128,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 97% | 2 | 72.2300033569336, 88.8600006103516 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 218.7, 211.6, 204.9, 198.3, 191.8 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 32.7, 33.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Gabon, Gabon, Gabon, Gabon, Gabon |
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 | GA, GA, GA, GA, GA |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 46.443, 47.115, 47.777, 48.425, 48.994 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 29% | 41 | 32.6, 32.1, 31.6, 31.1, 30.5 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 218.7, 211.6, 204.9, 198.3, 191.8 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 34 | 373.0, 369.0, 366.0, 367.0, 366.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 63 | 4.422, 4.504, 4.587, 4.649, 4.713 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 63 | 31.905, 32.272, 32.648, 32.88, 33.14 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 20.717, 20.385, 20.051, 19.707, 19.399 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 71% | 19 | 0.117, 0.191, 0.457, 0.433, 0.518 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 92% | 5 | 5.71399164199829, 9.91069984436035, 1.55200004577637,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 36% | 24 | 14.0, 31.0, 48.0, 59.0, 65.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 2.90471101, 3.15198207, 3.32970691, 3.53648472, 3.36498594 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Gabon, Gabon, Gabon, Gabon, Gabon |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 29 | 92.9, 91.6, 86.9, 90.2, 90.0 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 24 | 92.0, 93.9, 91.4, 95.5, 90.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Gabon, Gabon, Gabon, Gabon, Gabon |
survey_year |
survey_year | integer | 0% | 2 | 2012, 2019, 2012, 2019, 2019 |
region |
region | string | 0% | 16 | ..Estuaire (excluding Libreville), ..Estuaire (excluding... |
survey_id |
survey_id | string | 0% | 2 | GA2012DHS, GA2019DHS, GA2012DHS, GA2019DHS, GA2019DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 29 | 18.6, 16.0, 22.6, 19.3, 18.6 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 26 | 54.0, 34.0, 32.0, 22.0, 26.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 30 | 77.0, 43.0, 62.0, 42.0, 32.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 35 | 35.8, 37.9, 61.1, 48.4, 42.9 |
children_underweight |
Children underweight | float | CCL | 0% | 31 | 4.1, 5.4, 7.3, 7.3, 3.6 |
hiv_prevalence_pct |
Hiv prevalence percent | float | SEL | 14% | 19 | 3.7, 3.0, 4.2, 2.8, 3.8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Gabon, Gabon, Gabon, Gabon, Gabon |
survey_year |
survey_year | integer | 0% | 3 | 2012, 2019, 2012, 2019, 2019 |
region |
region | string | 0% | 16 | ..Estuaire (excluding Libreville), ..Estuaire (excluding... |
survey_id |
survey_id | string | 0% | 3 | GA2012DHS, GA2019DHS, GA2012DHS, GA2019DHS, GA2019DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 50 | amer1248, baka1272, bara1362, bekw1242, beng1282 |
name |
Name | string | CCL | 0% | 50 | American Sign Language, Baka (Cameroon), Barama, Bekwil, Benga |
iso639_3 |
Iso639 3 | string | CCL | 10% | 45 | ase, bkc, bbg, bkw, bng |
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% | 3 | sign1238, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 35 | amer1258, baka1278, sira1270, mpoi1234, beng1289 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 9 | ['BB', 'BF', 'BJ', 'BO', 'CA', 'CD', 'CF', 'CI', 'CN',... |
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% | 9 | 2, 0, 0, 1, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 50 | 33.8117, 2.16013, -2.49659, 1.71801, 1.075766 |
longitude |
longitude | float | 0% | 50 | -81.6121, 13.7804, 10.6777, 14.6527, 9.600739 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Gabon |
admin_code |
Admin code | string | SEL | 0% | 1 | 25889322B4795319335832 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 259090.6523 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 2237785 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 8.64 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB, GAB, GAB, GAB, GAB |
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 | Estuaire, Haut-Ogooué, Woleu-Ntem, Ogooué-Maritime, Ngounié |
admin_code |
Admin code | string | SEL | 0% | 9 | 98808126B6174087794558, 98808126B76399587683442,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 9 | 19653.4946, 33750.334, 36715.7965, 22252.032, 37486.4195 |
pop_2024 |
Population count | integer | SEL | 0% | 9 | 1067327, 340744, 196158, 166003, 139047 |
pop_density_2024 |
Population density | float | SEL | 0% | 9 | 54.31, 10.1, 5.34, 7.46, 3.71 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB, GAB, GAB, GAB, GAB |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 5 | Libreville, Port-Gentil, Franceville, Moanda, Oyem |
admin_code |
Admin code | integer | SEL | 0% | 5 | 414, 77, 839, 706, 563 |
area_sqkm |
Area sqkm | float | SEL | 0% | 5 | 194.6893, 37.7459, 37.7461, 13.9063, 17.8796 |
pop_2024 |
Population count | integer | SEL | 0% | 5 | 1136734, 161585, 148891, 60571, 52345 |
pop_density_2024 |
Population density | float | SEL | 0% | 5 | 5838.71, 4280.86, 3944.54, 4355.65, 2927.64 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 5 | 917056, 103562, 300424, 125350, 89006 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 5 | 1.24, 1.56, 0.496, 0.483, 0.588 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 3.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 125.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .ga |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 72.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 3.0 |
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
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 | 67,100 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 67100.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2024 est.) |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 3.18 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 3.18 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 125 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 2 state-run TV stations and 2 state-run radio stations;... |
broadcast_media_numeric |
broadcast_media_numeric | float | 0% | 1 | 2.0 |
internet_users_percent_of_population_text |
internet_users_percent_of_population_text | string | 0% | 1 | 72% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 80,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 80000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 3 (2022 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.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 | 18900.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 20.867 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 33.4 |
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
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 | natural-resource-rich, upper-middle-income, Central... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | 2023.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $48.045 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 | 48.045 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $46.472 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 | 46.472 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $45.363 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 | 45.363 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 3.4% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 3.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 2.4% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 2.4 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 3% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 3.0 |
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 | $18,900 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $18,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 18700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $18,700 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 18700.0 |
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 | $20.867 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 1.2% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 1.2 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 3.6% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 3.6 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 4.2% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 4.2 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +118 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 | 93.5 |
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
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 | 93.5% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 98.5% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 98.5 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 29% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 29.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 785,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 785000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 3.173 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 3.173 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 584.039 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 584.039 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 604 million kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 604.0 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 51.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 51.9 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 47.7% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 47.7 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.3% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.3 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 75,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 75000.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 204,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 204000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 14,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 14000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 2 billion barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 2.0 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 463 million cubic meters (2023 est.) |
natural_gas_production_numeric |
natural_gas_production_numeric | float | 0% | 1 | 463.0 |
natural_gas_consumption_text |
natural_gas_consumption_text | string | 0% | 1 | 463 million cubic meters (2023 est.) |
| +7 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
land_use_agricultural_land_numeric |
Agricultural land percent | float | SEL | 0% | 1 | 8.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 91.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 91.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.27 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 238100.0 |
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
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 from logging; solid-waste disposal; water... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_party_to_numeric |
international_environmental_agreements_party_to_numeric | float | 0% | 1 | 2006.0 |
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; always hot, humid |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 8.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.7 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 6.4% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 6.4 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 91.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 0.2% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 0.2 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 91% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.27% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 3.144 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 3.144 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 230,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 230000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 2.005 million 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 | 2.005 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 908,000 metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric |
carbon_dioxide_emissions_from_consumed_natural_gas_numeric | float | 0% | 1 | 908000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 29.6 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 29.6 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 272.4 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 272.4 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 4.9 kt (2019-2021 est.) |
| +18 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 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
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 | Gabonese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Gabonese |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Fang 23.5%, Shira-Punu'Vii 20.6%, Nzabi-Duma 11.2%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 23.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 267667.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 257667.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 10000.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3261.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 885.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1050.0 |
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 | 8.4 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 91.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 40.0 |
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Central Africa, bordering the Atlantic Ocean at the... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 1 00 S, 11 45 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 1.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 267,667 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 257,667 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 10,000 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Colorado |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,261 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Cameroon 349 km; Republic of the Congo 2,567 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 349.0 |
coastline_text |
coastline_text | string | 0% | 1 | 885 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_contiguous_zone_text |
maritime_claims_contiguous_zone_text | string | 0% | 1 | 24 nm |
maritime_claims_contiguous_zone_numeric |
maritime_claims_contiguous_zone_numeric | float | 0% | 1 | 24.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical; always hot, humid |
terrain_text |
terrain_text | string | 0% | 1 | narrow coastal plain; hilly interior; savanna in east and south |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mont Bengoue 1,050 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 | 377 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 377.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, natural gas, diamond, niobium, manganese,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 8.4% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.3% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.3 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.7% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.7 |
| +14 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
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 | Gabonese Republic |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Gabon |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République Gabonaise |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Gabon |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name originates from the Portuguese word gabão, meaning... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Libreville |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 0 23 N, 9 27 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 0.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+1 (6 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 1.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the city was founded in 1849 by freed slaves, and the... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1849.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 9 provinces; Estuaire, Haut-Ogooue, Moyen-Ogooue,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 9.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of French civil law and customary law |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1961, 1991; latest approved in November 2024 referendum |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1961.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic, by the... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of Gabon |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 10 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 10.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President Brice OLIGUI Nguema (since 3 May 2025) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 3.0 |
executive_branch_head_of_government_text |
executive_branch_head_of_government_text | string | 0% | 1 | President Brice OLIGUI Nguema (since 3 May 2025) |
| +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 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Gabon, a sparsely populated country known for its dense... |
background_numeric |
background_numeric | float | 0% | 1 | 40.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_text |
languages_text | string | 0% | 1 | French (official), Fang, Myene, Nzebi, Bapounou/Eschira, Bandjabi |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
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 | 261 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 261.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
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 | Gabonese Armed Forces (Force Armées Gabonaise or FAG;... |
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 | 1.5% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.5 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.3% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.3% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.3 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.7% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.7 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.8% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.8 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 7,000 active-duty Armed Forces including... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 7000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the Gabonese military has a mix of older and limited... |
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 | 18-24 years of age for voluntary military service; no... |
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 Gabonese military is a small and lightly armed force... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2023.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 2513738.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 1299085.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 1214653.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 34.6 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 61.1 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 4.3 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 63.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 55.8 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 7.2 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 22.3 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.35 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 25.51 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 5.44 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 3.42 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 91.0 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 2.27 |
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 | 1.07 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 233.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 26.0 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 70.4 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.16 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.56 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.52 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 88.9 |
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
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 | 2,513,738 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 1,299,085 |
population_female_text |
population_female_text | string | 0% | 1 | 1,214,653 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 34.6% (male 429,133/female 421,120) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 61.1% (male 787,480/female 711,913) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 4.3% (2024 est.) (male 53,410/female 52,049) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 63 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 55.8 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 7.2 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 13.9 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 13.9 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 22.3 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 22.5 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 22.5 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 21.5 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 21.5 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.35% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 25.51 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 5.44 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 3.42 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the relatively small population is spread in pockets... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 91% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 2.27% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 870,000 LIBREVILLE (capital) (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 870000.0 |
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 | 1.02 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.02 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.11 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.11 |
| +80 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 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 10.8 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 0.9 |
composition_ethnicity_primary_label_synth |
Fang | string | CCL | 0% | - | Fang |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Protestant 46.4% (Revival Church 37%, other Protestant... |
religions_numeric |
religions_numeric | float | 0% | 1 | 46.4 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 46.4 |
composition_religion_protestant__revival_church_pct_synth |
Revival Church | numeric | 0% | - | 37.0 |
composition_religion_protestant__other_protestant_pct_synth |
other Protestant | numeric | 0% | - | 9.4 |
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 29.8 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 4.0 |
composition_religion_traditional_animist_pct_synth |
traditional/animist | numeric | 0% | - | 1.1 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 7.0 |
composition_ethnicity_fang_pct_synth |
Fang | numeric | 0% | - | 23.5 |
composition_ethnicity_shira_punu_vii_pct_synth |
Shira-Punu'Vii | numeric | 0% | - | 20.6 |
composition_ethnicity_nzabi_duma_pct_synth |
Nzabi-Duma | numeric | 0% | - | 11.2 |
composition_ethnicity_mbede_teke_pct_synth |
Mbede-Teke | numeric | 0% | - | 5.6 |
composition_ethnicity_myene_pct_synth |
Myene | numeric | 0% | - | 4.4 |
composition_ethnicity_kota_kele_pct_synth |
Kota-Kele | numeric | 0% | - | 4.3 |
composition_ethnicity_okande_tsogho_pct_synth |
Okande-Tsogho | numeric | 0% | - | 1.6 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 12.6 |
composition_ethnicity_foreigner_pct_synth |
foreigner | numeric | 0% | - | 16.2 |
composition_ethnicity_primary_share_pct_synth |
Fang | numeric | 0% | - | 23.5 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | Gabonese Studies and Space Observations Agency (Agence... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2015.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a small space program focused on using data from... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 1986 - ESA established a ground station in Gabon2018 -... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1986.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_text |
Civil aircraft registration country code prefix text | string | SEL+ | 0% | 1 | TR |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 42.0 |
country_code |
Country code | string | SEL | 0% | 1 | GAB |
country_name |
Country name | string | SEL | 0% | 1 | Gabon |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 42 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 649 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 649.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 649 km (2014) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 649.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 87 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 87.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | bulk carrier 1, general cargo 19, oil tanker 30, other 37 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 1.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 9 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 9.0 |
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 | 2 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 2.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 5 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 5.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 7 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 7.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Libreville, Oguendjo Terminal, Port Gentil, Port Owendo |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/gb.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | GAB |
region_name |
Region name | string | SEL | 0% | 1 | Gabon |
F_TL |
Female population | integer | SEL | 0% | 1 | 1115222 |
M_TL |
Male population | integer | SEL | 0% | 1 | 1175493 |
T_TL |
Total population | integer | SEL | 0% | 1 | 2290715 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | integer | 0% | 1 | 2022 |
year |
year | integer | 0% | 1 | 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 1 | 165064 |
F_05_09 |
Female population age 5-9 | integer | 0% | 1 | 144775 |
F_10_14 |
Female population age 10-14 | integer | 0% | 1 | 114032 |
F_15_19 |
Female population age 15-19 | integer | 0% | 1 | 95341 |
F_20_24 |
Female population age 20-24 | integer | 0% | 1 | 90952 |
F_25_29 |
Female population age 25-29 | integer | 0% | 1 | 89144 |
F_30_34 |
Female population age 30-34 | integer | 0% | 1 | 88460 |
F_35_39 |
Female population age 35-39 | integer | 0% | 1 | 78072 |
F_40_44 |
Female population age 40-44 | integer | 0% | 1 | 59563 |
F_45_49 |
Female population age 45-49 | integer | 0% | 1 | 48851 |
F_50_54 |
Female population age 50-54 | integer | 0% | 1 | 39560 |
F_55_59 |
Female population age 55-59 | integer | 0% | 1 | 31773 |
F_60_64 |
Female population age 60-64 | integer | 0% | 1 | 24947 |
F_65_69 |
Female population age 65-69 | integer | 0% | 1 | 16509 |
F_70_74 |
Female population age 70-74 | integer | 0% | 1 | 10398 |
F_75_79 |
Female population age 75-79 | integer | 0% | 1 | 7933 |
F_80Plus |
F_80Plus | integer | 0% | 1 | 9847 |
M_00_04 |
Male population age 0-4 | integer | 0% | 1 | 170937 |
M_05_09 |
Male population age 5-9 | integer | 0% | 1 | 149021 |
M_10_14 |
Male population age 10-14 | integer | 0% | 1 | 117815 |
M_15_19 |
Male population age 15-19 | integer | 0% | 1 | 96870 |
M_20_24 |
Male population age 20-24 | integer | 0% | 1 | 88602 |
M_25_29 |
Male population age 25-29 | integer | 0% | 1 | 86754 |
M_30_34 |
Male population age 30-34 | integer | 0% | 1 | 89630 |
M_35_39 |
Male population age 35-39 | integer | 0% | 1 | 83369 |
M_40_44 |
Male population age 40-44 | integer | 0% | 1 | 73286 |
M_45_49 |
Male population age 45-49 | integer | 0% | 1 | 62970 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 9 | GAB001, GAB002, GAB003, GAB004, GAB005 |
region_name |
Region name | string | SEL | 0% | 9 | Estuaire, Haut-Ogooué, Moyen-Ogooué, Ngounié, Nyanga |
F_TL |
Female population | integer | SEL | 0% | 9 | 558424, 144779, 42985, 63391, 33586 |
M_TL |
Male population | integer | SEL | 0% | 9 | 574458, 172448, 44657, 64159, 33271 |
T_TL |
Total population | integer | SEL | 0% | 9 | 1132882, 317227, 87642, 127550, 66857 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
year |
year | integer | 0% | 1 | 2022, 2022, 2022, 2022, 2022 |
F_00_04 |
Female population age 0-4 | integer | 0% | 9 | 80643, 20043, 6705, 9927, 5057 |
F_05_09 |
Female population age 5-9 | integer | 0% | 9 | 69399, 17818, 6004, 8846, 4681 |
F_10_14 |
Female population age 10-14 | integer | 0% | 9 | 56683, 13929, 4833, 6719, 3755 |
F_15_19 |
Female population age 15-19 | integer | 0% | 9 | 47991, 12284, 3548, 5486, 3034 |
F_20_24 |
Female population age 20-24 | integer | 0% | 9 | 50404, 12927, 2844, 3928, 2104 |
F_25_29 |
Female population age 25-29 | integer | 0% | 9 | 52141, 11213, 2299, 3052, 1569 |
F_30_34 |
Female population age 30-34 | integer | 0% | 9 | 50701, 10028, 2750, 4241, 1806 |
F_35_39 |
Female population age 35-39 | integer | 0% | 9 | 42618, 9092, 2819, 3816, 1995 |
F_40_44 |
Female population age 40-44 | integer | 0% | 9 | 31088, 7747, 2477, 3140, 1619 |
F_45_49 |
Female population age 45-49 | integer | 0% | 9 | 24131, 6388, 2047, 2837, 1369 |
F_50_54 |
Female population age 50-54 | integer | 0% | 9 | 18758, 5784, 1567, 2213, 1298 |
F_55_59 |
Female population age 55-59 | integer | 0% | 9 | 13746, 4595, 1472, 2212, 1135 |
F_60_64 |
Female population age 60-64 | integer | 0% | 9 | 9208, 3663, 1275, 1939, 1103 |
F_65_69 |
Female population age 65-69 | integer | 0% | 9 | 4716, 3078, 761, 1515, 1130 |
F_70_74 |
Female population age 70-74 | integer | 0% | 9 | 2462, 2214, 571, 1179, 844 |
F_75_79 |
Female population age 75-79 | integer | 0% | 9 | 1652, 1621, 450, 1081, 540 |
F_80Plus |
F_80Plus | integer | 0% | 9 | 2082, 2356, 563, 1257, 545 |
M_00_04 |
Male population age 0-4 | integer | 0% | 9 | 83880, 20576, 6922, 10129, 5385 |
M_05_09 |
Male population age 5-9 | integer | 0% | 9 | 70189, 18067, 6392, 9390, 4854 |
M_10_14 |
Male population age 10-14 | integer | 0% | 9 | 56462, 14058, 5128, 7637, 3874 |
M_15_19 |
Male population age 15-19 | integer | 0% | 9 | 45772, 12756, 4037, 6200, 3077 |
M_20_24 |
Male population age 20-24 | integer | 0% | 9 | 43037, 18775, 2500, 4068, 1801 |
M_25_29 |
Male population age 25-29 | integer | 0% | 9 | 46893, 16649, 2138, 2923, 1485 |
M_30_34 |
Male population age 30-34 | integer | 0% | 9 | 48709, 13105, 2548, 3441, 2149 |
M_35_39 |
Male population age 35-39 | integer | 0% | 9 | 44415, 12665, 2794, 3330, 1897 |
M_40_44 |
Male population age 40-44 | integer | 0% | 9 | 37305, 11401, 2586, 3657, 1477 |
M_45_49 |
Male population age 45-49 | integer | 0% | 9 | 31592, 9098, 2564, 2987, 1487 |
| +24 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
economic_conditions |
Economic conditions | integer | CCL | 0% | 1 | 1 |
living_conditions |
Living conditions | integer | CCL | 0% | 1 | 1 |
employment_situation |
Employment situation | integer | CCL | 0% | 1 | 1 |
food_insecurity |
Food insecurity | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
women_equal_rights |
Women equal rights | integer | CCL | 0% | 1 | 1 |
women_political_leaders |
Women political leaders | integer | CCL | 0% | 1 | 1 |
women_land_rights |
Women land rights | integer | CCL | 0% | 1 | 1 |
domestic_violence_justified |
Domestic violence justified | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
trust_president |
Trust president | integer | CCL | 0% | 1 | 1 |
trust_parliament |
Trust parliament | integer | CCL | 0% | 1 | 1 |
trust_courts |
Trust courts | integer | CCL | 0% | 1 | 1 |
trust_police |
Trust police | integer | CCL | 0% | 1 | 1 |
trust_army |
Trust army | integer | CCL | 0% | 1 | 1 |
corruption_perception |
Corruption perception | integer | CCL | 0% | 1 | 1 |
democracy_satisfaction |
Democracy satisfaction | integer | CCL | 0% | 1 | 1 |
democracy_preference |
Democracy preference | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
emigration_considered |
Emigration considered | integer | CCL | 0% | 1 | 1 |
immigration_attitude |
Immigration attitude | integer | CCL | 0% | 1 | 1 |
foreign_workers_attitude |
Foreign workers attitude | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB |
trust_relatives |
Trust relatives | integer | CCL | 0% | 1 | 1 |
trust_neighbors |
Trust neighbors | integer | CCL | 0% | 1 | 1 |
trust_other_ethnic |
Trust other ethnic | integer | CCL | 0% | 1 | 1 |
trust_other_religion |
Trust other religion | integer | CCL | 0% | 1 | 1 |
national_identity_vs_ethnic |
National identity vs ethnic | integer | CCL | 0% | 1 | 1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
round |
round | string | 0% | 1 | |
year |
year | string | 0% | 1 | |
region |
region | string | 0% | 1 | |
source |
source | string | 0% | 1 | Afrobarometer |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 5 | Libreville, Franceville, Moanda, Port-Gentil, Oyem |
country_code |
Country code | string | SEL | 0% | 1 | GAB, GAB, GAB, GAB, GAB |
population |
Population count | integer | SEL | 0% | 5 | 917056, 300424, 125350, 103562, 89006 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 5 | 414, 839, 706, 77, 563 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Gabon, Gabon, Gabon, Gabon, Gabon |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB, GAB, GAB, GAB |
society_id |
Society id | string | CCL | 0% | 4 | Ae3, Ae41, Ae46, Ac16 |
society_name |
Society name | string | CCL | 0% | 4 | Fang, Kota, Mpongwe, Mitsogho |
language_glottocode |
Language glottocode | string | CCL | 0% | 4 | fang1246, ndas1238, myen1241, tsog1243 |
language_name |
Language name | string | CCL | 0% | 1 | , , , |
kinship_system |
Kinship system | string | CCL | 0% | 4 | EA001:1; EA002:1; EA003:2; EA004:1; EA005:5, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 4 | EA006:1; EA007:8; EA008:7; EA009:5; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 3 | EA028:3; EA029:5; EA030:7; EA031:2; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 2 | EA033:1; EA034:2; EA035:2, EA033:1; EA034:NA; EA035:NA,... |
religion_importance |
Religion importance | string | CCL | 0% | 2 | EA034:2; EA112:5, EA034:NA; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 3 | 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 | Gabon, Gabon, Gabon, Gabon |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , |
latitude |
latitude | float | 0% | 3 | 1.0, 1.0, -2.0, -1.0 |
longitude |
longitude | float | 0% | 4 | 11.0, 14.0, 10.0, 12.0 |
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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | GAB, GAB, GAB, GAB |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 4 | Fang, Eshira/Bapounou, Mbede (Nzebi, Bateke, Obamba), Myene |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 2 | JUNIOR PARTNER, JUNIOR PARTNER, SENIOR PARTNER, JUNIOR PARTNER |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 4 | 0.35, 0.24, 0.2, 0.05 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 4 | 48103000, 48101000, 48104000, 48105000 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, 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 |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GAB, GAB |
gns_language_code |
gns_language_code | string | CCL | 0% | 2 | fra, eng |
gns_language_name |
gns_language_name | string | CCL | 0% | 2 | French, English |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 1 | 2, 2 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 1 | 50.0, 50.0 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 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 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | GAB |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Gabon |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 2 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9758 |
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 | 8256 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 6823 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 8254 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 2 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 3029 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 2395 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 35 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 18 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 634 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 428 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 4468 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 3924 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 8 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 7 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 40 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 10 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 42 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 41 |
| 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 |
|---|---|---|---|
| French (fra) | 2 | 50.0% | — |
| English (eng) | 2 | 50.0% | — |
6,823 distinct features ·
2 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.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.