| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD, COD, COD, COD, COD |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 12 | Total, Bandundu, Bas-Congo, Equateur, Kasai Occidental |
human_development_index |
Human development index | float | SEL | 0% | 59 | 0.411, 0.394, 0.399, 0.381, 0.384 |
health_index |
Health index | float | SEL | 0% | 70 | 0.439, 0.44, 0.409, 0.426, 0.436 |
education_index |
Education index | float | SEL | 0% | 77 | 0.344, 0.332, 0.338, 0.315, 0.316 |
income_index |
Income index | float | SEL | 0% | 72 | 0.46, 0.416, 0.458, 0.412, 0.412 |
life_expectancy |
Life expectancy | float | SEL | 0% | 98 | 48.54, 48.62, 46.56, 47.7, 48.34 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 5.16, 4.972, 4.964, 4.298, 4.861 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 9 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | alii1240, alur1250, amba1263, amer1248, asoa1238 |
name |
Name | string | CCL | 0% | 100 | Ali, Alur, Amba (Uganda), American Sign Language, Asoa |
iso639_3 |
Iso639 3 | string | CCL | 8% | 92 | aiy, alz, rwm, ase, asv |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 6 | atla1278, nilo1247, atla1278, sign1238, cent2225 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 77 | ngba1286, adho1241, komo1265, amer1258, mang1424 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 20 | ['CD', 'CF'], ['CD', 'UG'], ['CD', 'UG'], ['BB', 'BF',... |
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% | 12 | 0, 4, 3, 2, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 0% | 100 | 4.60014, 2.36213, 0.81206, 33.8117, 2.26818 |
longitude |
longitude | float | 0% | 100 | 18.0352, 31.0016, 30.0014, -81.6121, 26.7198 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Democratic Republic of the Congo |
admin_code |
Admin code | string | SEL | 0% | 1 | 95928705B32358574929297 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 2308812.0119 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 115256606 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 49.92 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD, COD, COD, COD, COD |
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% | 26 | Kinshasa, North Kivu, South Kivu, Kwilu, Kongo-Central |
admin_code |
Admin code | string | SEL | 0% | 26 | 28894549B68389240291046, 28894549B19306184040235,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 26 | 10731.1767, 58346.4015, 60541.5291, 79666.3707, 53458.9323 |
pop_2024 |
Population count | integer | SEL | 0% | 26 | 13136607, 9433391, 8143247, 8141347, 7726667 |
pop_density_2024 |
Population density | float | SEL | 0% | 26 | 1224.15, 161.68, 134.51, 102.19, 144.53 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD, COD, COD, COD, COD |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 100 | Kinshasa, Kasaï-Oriental, Lubumbashi, Kikwit, Kisangani |
admin_code |
Admin code | integer | SEL | 0% | 100 | 1876, 4952, 6321, 2634, 5409 |
area_sqkm |
Area sqkm | float | SEL | 0% | 97 | 483.7778, 133.1231, 351.8228, 71.5251, 99.3306 |
pop_2024 |
Population count | integer | SEL | 0% | 100 | 12587664, 1864841, 1582948, 1222366, 983821 |
pop_density_2024 |
Population density | float | SEL | 0% | 100 | 26019.52, 14008.4, 4499.28, 17090.03, 9904.51 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 100 | 12945683, 3596107, 2907724, 488734, 929056 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 96 | 0.972, 0.519, 0.544, 2.501, 1.059 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 26 | CD52, CD41, CD71, CD73, CD53 |
region_name |
Region name | string | SEL | 0% | 1 | République démocratique du Congo (la), République... |
F_TL |
Female population | integer | SEL | 0% | 26 | 609165, 1224568, 3057372, 2139023, 942719 |
M_TL |
Male population | integer | SEL | 0% | 26 | 654661, 1224568, 3045170, 1935306, 884255 |
T_TL |
Total population | integer | SEL | 0% | 26 | 1263826, 2449136, 6102542, 4074329, 1826974 |
| 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 | 2020, 2020, 2020, 2020, 2020 |
admin1Name_fr |
admin1Name_fr | string | 0% | 26 | Bas-Uele, Equateur, Haut-Katanga, Haut-Lomami, Haut-Uele |
F_00_04 |
Female population age 0-4 | integer | 0% | 26 | 96557, 218095, 639241, 426787, 139580 |
M_00_04 |
Male population age 0-4 | integer | 0% | 26 | 101359, 226788, 651752, 435139, 146523 |
F_05_19 |
Female population age 5-19 | integer | 0% | 26 | 219021, 458477, 1225695, 818329, 316615 |
M_05_19 |
Male population age 5-19 | integer | 0% | 26 | 229953, 473660, 1247971, 833199, 332418 |
F_adulte |
F_adulte | integer | 0% | 26 | 287394, 498888, 1117071, 745805, 415454 |
M_adulte |
M_adulte | integer | 0% | 26 | 277979, 487622, 1094186, 730528, 401843 |
F_agee |
F_agee | integer | 0% | 26 | 29131, 49350, 69876, 46651, 42112 |
M_agee |
M_agee | integer | 0% | 26 | 23381, 35267, 58278, 38909, 33799 |
T_00_04 |
Total population age 0-4 | integer | 0% | 26 | 197916, 444883, 1290993, 861926, 286103 |
T_05_19 |
Total population age 5-19 | integer | 0% | 26 | 448974, 932137, 2473666, 1651528, 649033 |
T_adulte |
T_adulte | integer | 0% | 26 | 565373, 986510, 2211257, 1476333, 817297 |
T_agee |
T_agee | integer | 0% | 26 | 52512, 84617, 128154, 85560, 75911 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | CD1000, CD2001, CD2002, CD2003, CD2005 |
region_name |
Region name | string | SEL | 0% | 1 | République démocratique du Congo (la), République... |
F_TL |
Female population | integer | SEL | 0% | 88 | 5220436, 176141, 92363, 184387, 176583 |
M_TL |
Male population | integer | SEL | 0% | 88 | 4704348, 163899, 85944, 171573, 164311 |
T_TL |
Total population | integer | SEL | 0% | 88 | 9924784, 340040, 178307, 355960, 340894 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_2, admin_2, admin_2, admin_2, admin_2 |
year |
Reference year | integer | 0% | 1 | 2020, 2020, 2020, 2020, 2020 |
admin2Name_fr |
admin2Name_fr | string | 0% | 100 | Kinshasa, Matadi, Boma, Moanda, Lukula |
REMARK |
REMARK | string | 0% | 12 | , , , , |
F_00_04 |
Female population age 0-4 | integer | 0% | 88 | 1035155, 35432, 18580, 37091, 35521 |
M_00_04 |
Male population age 0-4 | integer | 0% | 88 | 1041110, 34990, 18348, 36628, 35078 |
F_05_19 |
Female population age 5-19 | integer | 0% | 88 | 1927889, 70303, 36865, 73595, 70480 |
M_05_19 |
Male population age 5-19 | integer | 0% | 88 | 1949724, 69317, 36348, 72562, 69491 |
F_adulte |
F_adulte | integer | 0% | 88 | 1929874, 60340, 31641, 63165, 60492 |
M_adulte |
M_adulte | integer | 0% | 88 | 1916476, 65118, 34146, 68166, 65281 |
F_agee |
F_agee | integer | 0% | 88 | 68481, 4097, 2149, 4289, 4108 |
M_agee |
M_agee | integer | 0% | 88 | 54586, 5900, 3094, 6176, 5915 |
T_00_04 |
Total population age 0-4 | integer | 0% | 88 | 2076265, 70422, 36928, 73719, 70599 |
T_05_19 |
Total population age 5-19 | integer | 0% | 88 | 3877613, 139620, 73213, 146157, 139971 |
T_adulte |
T_adulte | integer | 0% | 88 | 3846350, 125458, 65787, 131331, 125773 |
T_agee |
T_agee | integer | 0% | 88 | 123067, 9997, 5243, 10465, 10023 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 99 | Kinshasa, Kasaï-Oriental, Lubumbashi, Beni, Kananga |
country_code |
Country code | string | SEL | 0% | 1 | COD, COD, COD, COD, COD |
population |
Population count | integer | SEL | 0% | 100 | 12945683, 3596107, 2907724, 1872705, 1538649 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 100 | 1876, 4952, 6321, 7054, 4416 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Democratic Republic of the Congo, Democratic Republic of... |
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 | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 71 | 54.4, 44.4, 80.2, 71.2, 73.0 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 63 | 76.2, 66.9, 94.0, 87.1, 87.6 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Congo Democratic Republic, Congo Democratic Republic,... |
survey_year |
survey_year | integer | 0% | 3 | 2013, 2023, 2013, 2023, 2013 |
region |
region | string | 0% | 32 | ..Bas-Uele, ..Bas-Uele, ..Equateur (>= 2015), ..Equateur... |
survey_id |
survey_id | string | 0% | 3 | CD2013DHS, CD2023DHS, CD2013DHS, CD2023DHS, CD2013DHS |
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 | 4% | 52 | 6.0, 3.2, 7.8, 12.7, 4.9 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 4% | 71 | 16.6, 4.2, 50.1, 9.7, 51.5 |
children_underweight |
Children underweight | float | CCL | 4% | 63 | 16.3, 36.3, 12.8, 22.3, 16.4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Congo Democratic Republic, Congo Democratic Republic,... |
survey_year |
survey_year | integer | 0% | 3 | 2013, 2023, 2013, 2023, 2013 |
region |
region | string | 0% | 35 | ..Bas-Uele, ..Bas-Uele, ..Equateur (>= 2015), ..Equateur... |
survey_id |
survey_id | string | 0% | 3 | CD2013DHS, CD2023DHS, CD2013DHS, CD2023DHS, CD2013DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| 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 | CD, CD, CD, CD, CD |
population_count |
Population count | float | SEL | 2% | 65 | 15264846.0, 15662374.0, 16075724.0, 16507599.0, 16955327.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 40.752, 40.161, 40.382, 40.604, 40.099 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 220.074550221277, 197.080395165053, 235.127290601122,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 92% | 5 | 67.1699981689453, 75.0199966430664, 77.0400009155273,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 17% | 55 | 250.5, 246.8, 243.3, 240.1, 236.9 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 69.3, 63.9, 56.2 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Congo, Dem. Rep., Congo, Dem. Rep., Congo, Dem. 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 | CD, CD, CD, CD, CD |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 40.752, 40.161, 40.382, 40.604, 40.099 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 39% | 40 | 44.1, 43.7, 43.3, 42.9, 42.4 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 17% | 55 | 250.5, 246.8, 243.3, 240.1, 236.9 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 36 | 934.0, 902.0, 863.0, 824.0, 791.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 62 | 6.105, 6.124, 6.141, 6.158, 6.188 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 47.063, 47.213, 47.357, 47.482, 47.665 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 23.249, 23.704, 23.507, 23.313, 23.7 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 79% | 14 | 0.015, 0.028, 0.035, 0.036, 0.073 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 91% | 6 | 5.67403650283813, 3.32340002059937, 3.22530007362366,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 33% | 24 | 18.0, 17.0, 16.0, 27.0, 37.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 1.46594739, 2.62310982, 2.57012939, 3.73353338, 4.33564186 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Congo, Dem. Rep., Congo, Dem. Rep., Congo, Dem. 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 | COD, COD, COD, COD, COD |
society_id |
Society id | string | CCL | 0% | 61 | Ae1, Ae11, Ae13, Ae15, Ae16 |
society_name |
Society name | string | CCL | 0% | 61 | Amba, Songola, Bashi, Hunde, Lulua |
language_glottocode |
Language glottocode | string | CCL | 0% | 59 | amba1263, song1300, shii1238, hund1239, luba1249 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 36 | EA001:1; EA002:1; EA003:1; EA004:1; EA005:6, EA001:1;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 20 | EA006:5; EA007:1; EA008:5; EA009:5; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 33 | EA028:3; EA029:4; EA030:6; EA031:3; EA032:3, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 19 | EA033:1; EA034:1; EA035:NA, EA033:2; EA034:2; EA035:5,... |
religion_importance |
Religion importance | string | CCL | 0% | 16 | EA034:1; EA112:1, EA034:2; EA112:NA, EA034:NA; EA112:NA,... |
residence_pattern |
Residence pattern | string | CCL | 0% | 9 | 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 | Democratic Republic of the Congo, Democratic Republic of... |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 16 | 1.0, -4.0, -2.0, -2.0, -6.0 |
longitude |
longitude | float | 0% | 17 | 30.0, 26.0, 29.0, 28.0, 23.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 53.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .cd |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 31.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2022.0 |
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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 | (2023 est.) Currently, operators holding fixed-line... |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 2023.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 56.3 million (2023 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 56.3 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 53 (2023 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-owned TV station with near-national coverage; more... |
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 | 31% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 33,000 (2022 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 33000.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2022 est.) less than 1 |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cg.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 | 1500.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 70.749 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 56.2 |
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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 | very poor, large, natural resource-rich sub-Saharan... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $164.367 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 | 164.367 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $154.081 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 | 154.081 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $141.867 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 | 141.867 |
real_gdp_purchasing_power_parity_note |
real_gdp_purchasing_power_parity_note | string | 0% | 1 | note: data in 2021 dollars |
real_gdp_growth_rate_real_gdp_growth_rate_2024_text |
Real gdp growth rate 2024 (text) | string | 0% | 1 | 6.7% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 6.7 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 8.6% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 8.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 8.9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 8.9 |
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 | $1,500 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $1,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 1500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $1,400 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 1400.0 |
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 | $70.749 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_text |
Inflation rate consumer prices 2017 (text) | string | 0% | 1 | 41.5% (2017 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2017_numeric |
Inflation rate consumer prices 2017 (numeric) | float | 0% | 1 | 41.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2016_text |
Inflation rate consumer prices 2016 (text) | string | 0% | 1 | 2.9% (2016 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2016_numeric |
Inflation rate consumer prices 2016 (numeric) | float | 0% | 1 | 2.9 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2015_text |
Inflation rate consumer prices 2015 (text) | string | 0% | 1 | 0.7% (2015 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2015_numeric |
Inflation rate consumer prices 2015 (numeric) | float | 0% | 1 | 0.7 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 17.1% (2024 est.) |
| +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 | 21.5 |
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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 | 21.5% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 45.3% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 45.3 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 1% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 1.0 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 3.229 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 3.229 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 16.069 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 16.069 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 62 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 62.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 1.473 billion kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 1.473 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.242 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.242 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 13.8% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 13.8 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 86% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 86.0 |
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_consumption_text |
coal_consumption_text | string | 0% | 1 | 304,000 metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 304000.0 |
coal_imports_text |
coal_imports_text | string | 0% | 1 | 304,000 metric tons (2023 est.) |
coal_imports_numeric |
coal_imports_numeric | float | 0% | 1 | 304000.0 |
coal_proven_reserves_text |
coal_proven_reserves_text | string | 0% | 1 | 987.999 million metric tons (2023 est.) |
coal_proven_reserves_numeric |
coal_proven_reserves_numeric | float | 0% | 1 | 987.999 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 19,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 19000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 35,000 bbl/day (2023 est.) |
| +13 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 | 15.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 61.6 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 47.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.33 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 14.385 |
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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 | poaching; water pollution; deforestation from... |
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 | Environmental Modification |
climate_text |
climate_text | string | 0% | 1 | tropical; hot and humid in equatorial river basin;... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 15.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 6.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 6.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.9 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 8% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 8.0 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 61.6% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 22.9% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 22.9 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 47.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.33% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 5.883 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 5.883 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 731,000 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 | 731000.0 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 5.152 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 | 5.152 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 33.7 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 33.7 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 780.6 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 780.6 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 567.3 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 567.3 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 499.2 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 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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 | more than 200 African ethnic groups of which the... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 200.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 2344858.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 2267048.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 77810.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 11027.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 37.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 5110.0 |
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 | 15.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 61.6 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 110.0 |
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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, northeast of Angola |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 0 00 N, 25 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 0.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 2,344,858 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 2,267,048 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 77,810 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly less than one-fourth the size of the US |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 11,027 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Angola 2,646 km (of which 225 km is the boundary of... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 2646.0 |
coastline_text |
coastline_text | string | 0% | 1 | 37 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | since 2011, the DRC has had a Common Interest Zone... |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 2011.0 |
climate_text |
climate_text | string | 0% | 1 | tropical; hot and humid in equatorial river basin;... |
terrain_text |
terrain_text | string | 0% | 1 | vast central basin is a low-lying plateau; mountains in east |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Pic Marguerite on Mont Ngaliema (Mount Stanley) 5,110 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 | 726 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 726.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | cobalt, copper, niobium, tantalum, petroleum, industrial... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 15.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 6.6% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 6.6 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 0.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 0.9 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 8% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 8.0 |
| +20 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 | COD |
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 | Democratic Republic of the Congo |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | DRC |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République démocratique du Congo |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | RDC |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Congo Free State, Belgian Congo, Congo/Leopoldville,... |
country_name_abbreviation_text |
country_name_abbreviation_text | string | 0% | 1 | DRC (or DROC) |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | named for the Congo River, most of which lies within the... |
government_type_text |
government_type_text | string | 0% | 1 | semi-presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Kinshasa |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 4 19 S, 15 18 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_time_zone_note_text |
capital_time_zone_note_text | string | 0% | 1 | the DRC has two time zones |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | founded as a trading post in 1881 and named Leopoldville... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 1881.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 26 provinces; Bas-Uele (Lower Uele), Equateur,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 26.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system primarily based on Belgian law, but... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | several previous; latest adopted 13 May 2005, approved... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 13.0 |
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 | accepts compulsory ICJ jurisdiction with reservations;... |
citizenship_citizenship_by_birth_text |
Citizenship by birth (text) | string | 0% | 1 | no |
citizenship_citizenship_by_descent_only_text |
Citizenship by descent only (text) | string | 0% | 1 | at least one parent must be a citizen of the Democratic... |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal and compulsory |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
| +88 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 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Bantu, Sudanic, and other migrants from West and... |
background_numeric |
background_numeric | float | 0% | 1 | 2000.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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), Lingala (a trade language), Kingwana... |
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/cg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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 | 518,445 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 518445.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 6,895,648 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 6895648.0 |
trafficking_in_persons_tier_rating_text |
trafficking_in_persons_tier_rating_text | string | 0% | 1 | Tier 2 Watch List — the Democratic Republic of the Congo... |
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/cg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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 | Armed Forces of the Democratic Republic of the Congo... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.2% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.2% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.7% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 0.7% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 0.7 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 0.7% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 0.7 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | estimated 100-150,000 active FARDC (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 100.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the FARDC is equipped mostly with Soviet-era and older... |
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 | 18-35 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_note_text |
military_note_text | string | 0% | 1 | the FARDC’s primary focus is internal security and... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 15.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 119038825.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 59509076.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 59529749.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 45.7 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 51.8 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 2.5 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 92.1 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 87.3 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 4.8 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 16.9 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 3.09 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 38.8 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 7.37 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | -0.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 47.4 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.33 |
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 | 427.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 55.8 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 62.6 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 5.42 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 2.67 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.21 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 73.6 |
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
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 | 119,038,825 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 59,509,076 |
population_female_text |
population_female_text | string | 0% | 1 | 59,529,749 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 45.7% (male 26,584,268/female 26,208,891) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 51.8% (male 29,845,450/female 29,884,958) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 2.5% (2024 est.) (male 1,258,442/female 1,621,018) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 92.1 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 87.3 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 4.8 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 20.8 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 20.8 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 16.9 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 16.7 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 16.7 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 17 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 17.0 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 3.09% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 38.8 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 7.37 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | -0.5 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | urban clusters are spread throughout the country,... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 47.4% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.33% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 16.316 million KINSHASA (capital), 2.892 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 16.316 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.01 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.0 |
| +86 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 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 1.3 |
composition_ethnicity_primary_label_synth |
the Mangbetu-Azande (Hamitic) - make up about of the population | string | CCL | 0% | - | the Mangbetu-Azande (Hamitic) - make up about of the population |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Christian 93/1% (Roman Catholic 29.9%, Protestant... |
religions_numeric |
religions_numeric | float | 0% | 1 | 93.0 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cg.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_christian_93_pct_synth |
Christian 93/ | numeric | 0% | - | 1.0 |
composition_religion_christian_93__roman_catholic_pct_synth |
Roman Catholic | numeric | 0% | - | 29.9 |
composition_religion_christian_93__protestant_pct_synth |
Protestant | numeric | 0% | - | 26.7 |
composition_religion_christian_93__other_christian_pct_synth |
other Christian | numeric | 0% | - | 36.5 |
composition_religion_kimbanguist_pct_synth |
Kimbanguist | numeric | 0% | - | 2.8 |
composition_religion_other_includes_syncretic_sects_and_indigenous_beliefs_pct_synth |
other (includes syncretic sects and indigenous beliefs) | numeric | 0% | - | 1.2 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 1.3 |
composition_religion_unspecified_pct_synth |
unspecified | numeric | 0% | - | 0.2 |
composition_ethnicity_more_than_200_african_ethnic_groups_of_which_the_majority_are_bantu_the_four_largest_groups_mongo_pct_synth |
more than 200 African ethnic groups of which the majority are Bantu; the four largest groups - Mongo | numeric | 0% | - | - |
composition_ethnicity_luba_pct_synth |
Luba | numeric | 0% | - | - |
composition_ethnicity_kongo_pct_synth |
Kongo | numeric | 0% | - | - |
composition_ethnicity_the_mangbetu_azande_hamitic_make_up_about_of_the_population_pct_synth |
the Mangbetu-Azande (Hamitic) - make up about of the population | numeric | 0% | - | 45.0 |
composition_ethnicity_primary_share_pct_synth |
the Mangbetu-Azande (Hamitic) - make up about of the population | numeric | 0% | - | 45.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
terrorist_group_s_text |
terrorist_group_s_text | string | 0% | 1 | Islamic State of Iraq and ash-Sham – Democratic Republic... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cg.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 | 9Q |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 273.0 |
country_code |
Country code | string | SEL | 0% | 1 | COD |
country_name |
Country name | string | SEL | 0% | 1 | DRC |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 9.0 |
airports_text |
airports_text | string | 0% | 1 | 273 (2025) |
heliports_text |
heliports_text | string | 0% | 1 | 1 (2025) |
heliports_numeric |
heliports_numeric | float | 0% | 1 | 1.0 |
railways_total_text |
railways_total_text | string | 0% | 1 | 4,007 km (2014) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 4007.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 3,882 km (2014) 1.067-m gauge (858 km electrified) |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 3882.0 |
railways_note |
railways_note | string | 0% | 1 | 125 1.000-mm gauge |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 24 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 24.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | general cargo 5, oil tanker 2, other 17 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 5.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 3 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 3.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 1 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 1.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 2 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 2.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Banana, Boma, Matadi |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/cg.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | COD |
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 | COD |
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 | COD |
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 | COD |
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 | COD |
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 |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | COD, COD, COD |
gns_language_code |
gns_language_code | string | CCL | 0% | 3 | fra, eng, por |
gns_language_name |
gns_language_name | string | CCL | 0% | 3 | French, English, Portuguese |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 736, 38, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 94.9677, 4.9032, 0.129 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | COD |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Congo, Democratic Republic of the |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 3 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9771 |
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 | 74190 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 65975 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 74173 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 17 |
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_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 440 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 185 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 27768 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 25935 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 42551 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 36778 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 2182 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 2033 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 1112 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 920 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 118 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 106 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 18 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 17 |
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 | 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) | 736 | 95.0% | — |
| English (eng) | 38 | 4.9% | — |
| Portuguese (por) | 1 | 0.1% | — |
65,975 distinct features ·
3 languages ·
0 scripts ·
17 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
| Source | Type | Access |
|---|---|---|
| HDX COD — Population Statistics (OCHA/UNFPA) | international_organization | bulk_download |
| Global Data Lab | academic | api |
| Afrobarometer | academic | api |
| GI-TOC / ENACT (Global Initiative Against Transnational Organized Crime · ENACT) | academic | bulk_download |
| World Bank Open Data | international_organization | api |
| D-PLACE (Database of Places, Language, Culture & Environment) | academic | bulk_download |
| 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 |
| GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre) | international_organization | bulk_download |
| LandScan Global (ORNL — Oak Ridge National Laboratory) | research_institution | earth_engine |
| OpenFactBook | community_compilation | bulk_download |
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.