| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG, COG, COG, COG, COG |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 13 | Total, Bouenza, Brazzaville, Cuvette, Cuvette Ouest |
human_development_index |
Human development index | float | SEL | 0% | 79 | 0.613, 0.552, 0.683, 0.565, 0.564 |
health_index |
Health index | float | SEL | 0% | 79 | 0.57, 0.509, 0.595, 0.556, 0.552 |
education_index |
Education index | float | SEL | 0% | 82 | 0.617, 0.55, 0.722, 0.579, 0.568 |
income_index |
Income index | float | SEL | 0% | 76 | 0.655, 0.6, 0.744, 0.561, 0.573 |
life_expectancy |
Life expectancy | float | SEL | 0% | 96 | 57.07, 53.06, 58.64, 56.13, 55.85 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 98 | 9.259, 7.565, 11.64, 7.788, 7.723 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 8 | 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 | CG, CG, CG, CG, CG |
population_count |
Population count | float | SEL | 2% | 65 | 1056732.0, 1084389.0, 1113175.0, 1143263.0, 1174816.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.595, 48.351, 49.038, 49.729, 50.363 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 124.659670363931, 139.872074436703, 149.591249938458,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 97% | 2 | 59.6199989318848, 76.1100006103516 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 193.7, 186.4, 179.5, 173.1, 166.9 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 97% | 2 | 50.7, 40.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Congo, Rep., Congo, Rep., Congo, Rep., Congo, Rep., Congo, Rep. |
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 | CG, CG, CG, CG, CG |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 47.595, 48.351, 49.038, 49.729, 50.363 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 36% | 37 | 29.6, 29.3, 28.9, 28.5, 28.1 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 64 | 193.7, 186.4, 179.5, 173.1, 166.9 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 546.0, 535.0, 519.0, 510.0, 506.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 6.085, 6.093, 6.099, 6.147, 6.183 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 43.5, 43.327, 43.158, 43.29, 43.358 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 73% | 16 | 0.06, 0.068, 0.101, 0.174, 0.119 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 94% | 4 | 3.75708508491516, 4.38719987869263, 3.3499999046, 1.6 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 32% | 30 | 42.0, 42.0, 47.0, 50.0, 53.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 1.50500846, 2.18529987, 1.70167828, 1.91852403, 1.92152369 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Congo, Rep., Congo, Rep., Congo, Rep., Congo, Rep., Congo, Rep. |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 70 | akwa1248, baka1272, balo1261, bang1347, bang1354 |
name |
Name | string | CCL | 0% | 70 | Akwa, Baka (Cameroon), Loi-Likila, Ngombe-Bangandu, Bobangi |
iso639_3 |
Iso639 3 | string | CCL | 4% | 67 | akw, bkc, biz, bgf, bni |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 1 | atla1278, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 46 | koyo1244, baka1278, boba1249, gbay1284, boba1250 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 15 | ['CG'], ['CF', 'CG', 'CM', 'GA'], ['CD', 'CG'], ['CG',... |
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 | 0, 0, 4, 2, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 70 | -0.39897, 2.16013, 0.93777, 2.18716, -0.87437 |
longitude |
longitude | float | 0% | 70 | 15.4623, 13.7804, 18.1266, 14.7506, 17.227 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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% | 17 | 60.5, 78.7, 74.4, 65.1, 68.7 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 18 | 87.9, 93.7, 86.6, 80.2, 86.3 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Congo, Congo, Congo, Congo, Congo |
survey_year |
survey_year | integer | 0% | 2 | 2011, 2011, 2011, 2011, 2011 |
region |
region | string | 0% | 16 | ..Bouénza, ..Cuvette, ..Cuvette-Ouest, ..Kouilou, ..Likouala |
survey_id |
survey_id | string | 0% | 2 | CG2011DHS, CG2011DHS, CG2011DHS, CG2011DHS, CG2011DHS |
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% | - | - |
hiv_prevalence_pct |
Hiv prevalence percent | float | SEL | 56% | 11 | 3.9, 1.7, 1.5, 3.9, 1.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Congo, Congo, Congo, Congo, Congo |
survey_year |
survey_year | integer | 0% | 3 | 2009, 2011, 2009, 2011, 2009 |
region |
region | string | 0% | 16 | ..Bouénza, ..Bouénza, ..Cuvette, ..Cuvette, ..Cuvette-Ouest |
survey_id |
survey_id | string | 0% | 3 | CG2009AIS, CG2011DHS, CG2009AIS, CG2011DHS, CG2009AIS |
survey_type |
survey_type | string | 0% | 2 | AIS, DHS, AIS, DHS, AIS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Congo |
admin_code |
Admin code | string | SEL | 0% | 1 | 69207274B23865030998002 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 343273.3371 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 6091034 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 17.74 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG, COG, COG, COG, COG |
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% | 12 | Brazzaville, Pointe-Noire, Bouenza, Kouilou, Niari |
admin_code |
Admin code | string | SEL | 0% | 12 | 67827341B64489104323901, 67827341B24651927925898,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 12 | 6039.3313, 80.719, 12477.5785, 13679.6119, 27897.3922 |
pop_2024 |
Population count | integer | SEL | 0% | 12 | 2377169, 874199, 509237, 455087, 382963 |
pop_density_2024 |
Population density | float | SEL | 0% | 12 | 393.61, 10830.15, 40.81, 33.27, 13.73 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG, COG, COG, COG, COG |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 6 | Brazzaville, Pointe-Noire, Impfondo, Sibiti, Dongou |
admin_code |
Admin code | integer | SEL | 0% | 6 | 427, 85, 719, 264, 580 |
area_sqkm |
Area sqkm | float | SEL | 0% | 6 | 178.8081, 180.7986, 18.8731, 7.9469, 6.9532 |
pop_2024 |
Population count | integer | SEL | 0% | 6 | 2082192, 1176206, 49963, 41536, 26964 |
pop_density_2024 |
Population density | float | SEL | 0% | 6 | 11644.84, 6505.61, 2647.31, 5226.69, 3877.93 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 6 | 3190743, 665656, 360183, 60352, 61085 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 6 | 0.653, 1.767, 0.139, 0.688, 0.441 |
| 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 | 96.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .cg |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 38.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 1.0 |
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 | 17,000 (2020 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 17000.0 |
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 | 5,875,800 (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 5875800.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 96 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | 1 state-owned TV and 3 state-owned radio stations;... |
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 | 38% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 78,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 78000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 1 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cf.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 | 6200.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 15.72 |
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 | primarily an oil- and natural resources-based economy;... |
economic_overview_numeric |
economic_overview_numeric | float | 0% | 1 | -2010.0 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $39.147 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 | 39.147 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $38.163 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 | 38.163 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $37.448 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 | 37.448 |
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 | 2.6% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 2.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 1.9% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 1.9 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 1.5% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 1.5 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $6,200 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $6,200 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 6200.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $6,200 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 6200.0 |
real_gdp_per_capita_note |
real_gdp_per_capita_note | string | 0% | 1 | note: data in 2021 dollars |
gdp_official_exchange_rate_text |
gdp_official_exchange_rate_text | string | 0% | 1 | $15.72 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 3.1% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 3.1 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 4.3% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 4.3 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 3.0 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
| +109 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 | 50.6 |
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 | 50.6% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 67.5% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 67.5 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 12.4% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 12.4 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 842,000 kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 842000.0 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 2.832 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 2.832 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 31 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 31.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 30.588 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 30.588 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 2.335 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 2.335 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 79.4% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 79.4 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 0.2 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 20.2% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 20.2 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.2% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.2 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 65 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 65.0 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 267,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 267000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 13,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 13000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 2.882 billion barrels (2021 est.) |
| +11 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 | 31.2 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 63.9 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 69.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.19 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 451200.0 |
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 | air pollution from vehicle emissions; water pollution... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
international_environmental_agreements_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; rainy season (March to June); dry season (June... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 31.2% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.3 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 29.3% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 29.3 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 63.9% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 4.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 4.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 69.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.19% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 2.66 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 2.66 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 1.826 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 | 1.826 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 834,000 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 | 834000.0 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 36.5 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 36.5 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 308.8 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 308.8 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 19.7 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 19.7 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 25.3 kt (2019-2021 est.) |
| +16 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 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 | Congolese (singular and plural) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Congolese or Congo |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Kongo (Bakongo) 40.5%, Teke 16.9%, Mbochi 13.1%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 40.5 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 342000.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 341500.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 500.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 5554.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 169.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1020.0 |
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 | 31.2 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 63.9 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 20.0 |
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 South Atlantic Ocean,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 1 00 S, 15 00 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 | 342,000 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 341,500 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 500 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly smaller than Montana; about twice the size of Florida |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 5,554 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Angola 231 km; Cameroon 494 km; Central African Republic... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 231.0 |
coastline_text |
coastline_text | string | 0% | 1 | 169 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; rainy season (March to June); dry season (June... |
terrain_text |
terrain_text | string | 0% | 1 | coastal plain, southern basin, central plateau, northern basin |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mont Nabeba 1,020 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 | 430 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 430.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, timber, potash, lead, zinc, uranium, copper,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 31.2% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 1.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 1.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.3% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.3 |
| +17 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 | COG |
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 the Congo |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Congo (Brazzaville) |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République du Congo |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Congo |
country_name_former_text |
country_name_former_text | string | 0% | 1 | French Congo, Middle Congo, People's Republic of the... |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | named for the Congo River, which makes up much of the... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Brazzaville |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 4 15 S, 15 17 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 4.0 |
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 | named after the Italian-born French explorer and... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1852.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 15 departments; Bouenza, Brazzaville, Congo-Oubangui,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 15.0 |
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 | several previous; latest approved by referendum 25 October 2015 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 25.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | proposed by the president of the republic or by... |
international_law_organization_participation_text |
international_law_organization_participation_text | string | 0% | 1 | has not submitted an ICJ jurisdiction declaration;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of the Republic of... |
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 Denis SASSOU-Nguesso (since 1997) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 1997.0 |
| +85 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 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Upon independence in 1960, the former French region of... |
background_numeric |
background_numeric | float | 0% | 1 | 1960.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | French (official), French Lingala and Monokutuba (trade... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | Buku oyo ya bosembo ya Mokili Mobimba Ezali na Makanisi... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 | 69,766 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 69766.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the Republic of the Congo does not... |
trafficking_in_persons_tier_rating_numeric |
trafficking_in_persons_tier_rating_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 | Congolese Armed Forces (Forces Armees Congolaises, FAC):... |
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 | 2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 2.0 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.8% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.8 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 2.4% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 2.4 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 2.8% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 2.8 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 12-14,000 active FAC, including Gendarmerie (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 12.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FAC has a mixed inventory of Chinese, French,... |
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 voluntary military service for... |
military_service_age_and_obligation_numeric |
military_service_age_and_obligation_numeric | float | 0% | 1 | 18.0 |
military_deployments_text |
military_deployments_text | string | 0% | 1 | has about 175 mostly police personnel deployed to the... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 175.0 |
military_note_text |
military_note_text | string | 0% | 1 | the FAC's primary focuses are internal and maritime... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 1961.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 6097665.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 3045973.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 3051692.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 37.8 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 57.8 |
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 | 72.9 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 65.4 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 7.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 20.9 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.36 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 28.34 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.64 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.08 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 69.2 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.19 |
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 | 1.0 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 241.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 29.9 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 72.9 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.72 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.83 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.17 |
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
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 | 6,097,665 (2024 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 3,045,973 |
population_female_text |
population_female_text | string | 0% | 1 | 3,051,692 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 37.8% (male 1,162,298/female 1,143,668) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 57.8% (male 1,770,337/female 1,756,925) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 4.3% (2024 est.) (male 113,338/female 151,099) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 72.9 (2024 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 65.4 (2024 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 7.5 (2024 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 13.3 (2024 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 13.3 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 20.9 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 20.5 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 20.5 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 20.9 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 20.9 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.36% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 28.34 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.64 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.08 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the population is primarily located in the south, in and... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 69.2% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.19% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 2.638 million BRAZZAVILLE (capital), 1.336 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 2.638 |
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 | 1.01 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.01 |
| +55 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 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 1.6 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 8.1 |
composition_ethnicity_primary_label_synth |
Kongo (Bakongo) | string | CCL | 0% | - | Kongo (Bakongo) |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Roman Catholic 33.1%, Awakening Churches/Christian... |
religions_numeric |
religions_numeric | float | 0% | 1 | 33.1 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cf.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 33.1 |
composition_religion_awakening_churches_christian_revival_pct_synth |
Awakening Churches/Christian Revival | numeric | 0% | - | 22.3 |
composition_religion_protestant_pct_synth |
Protestant | numeric | 0% | - | 19.9 |
composition_religion_salutiste_pct_synth |
Salutiste | numeric | 0% | - | 2.2 |
composition_religion_kimbanguist_pct_synth |
Kimbanguist | numeric | 0% | - | 1.5 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 11.3 |
composition_ethnicity_kongo_bakongo_pct_synth |
Kongo (Bakongo) | numeric | 0% | - | 40.5 |
composition_ethnicity_teke_pct_synth |
Teke | numeric | 0% | - | 16.9 |
composition_ethnicity_mbochi_pct_synth |
Mbochi | numeric | 0% | - | 13.1 |
composition_ethnicity_foreigner_pct_synth |
foreigner | numeric | 0% | - | 8.2 |
composition_ethnicity_sangha_pct_synth |
Sangha | numeric | 0% | - | 5.6 |
composition_ethnicity_mbere_mbeti_kele_pct_synth |
Mbere/Mbeti/Kele | numeric | 0% | - | 4.4 |
composition_ethnicity_punu_pct_synth |
Punu | numeric | 0% | - | 4.3 |
composition_ethnicity_pygmy_pct_synth |
Pygmy | numeric | 0% | - | 1.6 |
composition_ethnicity_oubanguiens_pct_synth |
Oubanguiens | numeric | 0% | - | 1.6 |
composition_ethnicity_duma_pct_synth |
Duma | numeric | 0% | - | 1.5 |
composition_ethnicity_makaa_pct_synth |
Makaa | numeric | 0% | - | 1.3 |
composition_ethnicity_other_and_unspecified_pct_synth |
other and unspecified | numeric | 0% | - | 1.0 |
composition_ethnicity_primary_share_pct_synth |
Kongo (Bakongo) | numeric | 0% | - | 40.5 |
| 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 | TN |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 56.0 |
country_code |
Country code | string | SEL | 0% | 1 | COG |
country_name |
Country name | string | SEL | 0% | 1 | Congo (Brazzaville) |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 56 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 510 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 510.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 510 km (2014) 1.067-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 510.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 11 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 11.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | oil tanker 1, other 10 |
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 | 5 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 5.0 |
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 | 1 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 1.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 4 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 4.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 4 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 4.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Djeno Terminal, Dussafu Terminal, N'kossa Terminal,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cf.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG, COG, COG, COG, COG |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 6 | Lari/Bakongo, Batéké, Mbochi (proper), Vili, Kouyou |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | POWERLESS, JUNIOR PARTNER, SENIOR PARTNER, POWERLESS,... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 6 | 0.3, 0.13, 0.09, 0.07, 0.03 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 6 | 48405000, 48402000, 48406070, 48410000, 48406050 |
regional_autonomy |
Regional autonomy | string | CCL | 0% | 1 | false, false, false, false, false |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 1 | 2021, 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% | 6 | Brazzaville, Pointe-Noire, Impfondo, Bétou, Dongou |
country_code |
Country code | string | SEL | 0% | 1 | COG, COG, COG, COG, COG |
population |
Population count | integer | SEL | 0% | 6 | 3190743, 665656, 360183, 349600, 61085 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 6 | 427, 85, 719, 851, 580 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Republic of the Congo, Republic of the Congo, Republic... |
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 | COG, COG |
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% | 2 | 131, 5 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 2 | 96.3235, 3.6765 |
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 | COG |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Congo |
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 | 99.9616 |
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 | 13006 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 10070 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 13001 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 5 |
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 | 7580 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 5807 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 4295 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 3383 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 289 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 279 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 368 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 291 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 148 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 128 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 146 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 119 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 179 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 62 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 1 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COG |
society_id |
Society id | string | CCL | 0% | 1 | Ac19 |
society_name |
Society name | string | CCL | 0% | 1 | Teke |
language_glottocode |
Language glottocode | string | CCL | 0% | 1 | teke1278 |
language_name |
Language name | string | CCL | 0% | 1 | |
kinship_system |
Kinship system | string | CCL | 0% | 1 | EA001:0; EA002:1; EA003:1; EA004:1; EA005:7 |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 1 | EA006:1; EA007:8; EA008:NA; EA009:NA; EA010:10 |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 1 | EA028:3; EA029:5; EA030:7; EA031:2; EA032:3 |
political_complexity |
Political complexity | string | CCL | 0% | 1 | EA033:1; EA034:NA; EA035:NA |
religion_importance |
Religion importance | string | CCL | 0% | 1 | EA034:NA; EA112:NA |
residence_pattern |
Residence pattern | string | CCL | 0% | 1 | EA011:1; EA012:10; EA013:9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Republic of the Congo |
dataset |
dataset | string | 0% | 1 | EA |
region |
region | string | 0% | 1 | |
latitude |
latitude | float | 0% | 1 | -3.0 |
longitude |
longitude | float | 0% | 1 | 15.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate |
| 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) | 131 | 96.3% | — |
| English (eng) | 5 | 3.7% | — |
10,070 distinct features ·
2 languages ·
0 scripts ·
5 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 |
| UNHCR Refugee Data Finder (UN High Commissioner for Refugees) | international_organization | api |
| USAID DHS Program (US Agency for International Development · Demographic and Health Surveys) | international_organization | api |
| 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 |
| D-PLACE (Database of Places, Language, Culture & Environment) | 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.