| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 1 | CI |
region_name |
Region name | string | SEL | 0% | 1 | Cote d'Ivoire |
F_TL |
Female population | integer | SEL | 0% | 1 | 12526924 |
M_TL |
Male population | integer | SEL | 0% | 1 | 13372134 |
T_TL |
Total population | integer | SEL | 0% | 1 | 25899058 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_0 |
year |
Reference year | string | 100% | - | - |
ADM0_FR |
ADM0_FR | string | 0% | 1 | Côte d'Ivoire |
T_00_04 |
Total population age 0-4 | integer | 0% | 1 | 4219491 |
T_05_09 |
Total population age 5-9 | integer | 0% | 1 | 3630146 |
T_10_14 |
Total population age 10-14 | integer | 0% | 1 | 3210596 |
T_15_19 |
Total population age 15-19 | integer | 0% | 1 | 2851101 |
T_20_24 |
Total population age 20-24 | integer | 0% | 1 | 2382953 |
T_25_29 |
Total population age 25-29 | integer | 0% | 1 | 1953093 |
T_30_34 |
Total population age 30-34 | integer | 0% | 1 | 1628336 |
T_35_39 |
Total population age 35-39 | integer | 0% | 1 | 1382693 |
T_40_44 |
Total population age 40-44 | integer | 0% | 1 | 1119880 |
T_45_49 |
Total population age 45-49 | integer | 0% | 1 | 913987 |
T_50_54 |
Total population age 50-54 | integer | 0% | 1 | 759667 |
T_55_59 |
Total population age 55-59 | integer | 0% | 1 | 620030 |
T_60_64 |
Total population age 60-64 | integer | 0% | 1 | 480191 |
T_65_69 |
Total population age 65-69 | integer | 0% | 1 | 337311 |
T_70_74 |
Total population age 70-74 | integer | 0% | 1 | 223600 |
T_75_79 |
Total population age 75-79 | integer | 0% | 1 | 121002 |
T_80plus |
T_80plus | integer | 0% | 1 | 64981 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 33 | CI12, CI26, CI29, CI20, CI30 |
region_name |
Region name | string | SEL | 0% | 33 | Gbokle, Nawa, San Pedro, Indenie-Djuablin, Sud-Comoe |
F_TL |
Female population | integer | SEL | 0% | 33 | 212067, 568217, 436561, 308427, 361167 |
M_TL |
Male population | integer | SEL | 0% | 33 | 245391, 633735, 506966, 331235, 372293 |
T_TL |
Total population | integer | SEL | 0% | 33 | 457458, 1201952, 943527, 639662, 733460 |
| 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 | string | 100% | - | - |
ADM0_FR |
ADM0_FR | string | 0% | 1 | Côte d'Ivoire, Côte d'Ivoire, Côte d'Ivoire, Côte... |
Region |
Region | string | 0% | 14 | Bas-Sassandra, Bas-Sassandra, Bas-Sassandra, Comoe, Comoe |
T_00_04 |
Total population age 0-4 | integer | 0% | 33 | 74536, 195839, 153732, 104227, 119508 |
T_05_09 |
Total population age 5-9 | integer | 0% | 33 | 64125, 168489, 132263, 89670, 102817 |
T_10_14 |
Total population age 10-14 | integer | 0% | 33 | 56717, 149020, 116983, 79306, 90937 |
T_15_19 |
Total population age 15-19 | integer | 0% | 33 | 50381, 132370, 103909, 70440, 80777 |
T_20_24 |
Total population age 20-24 | integer | 0% | 33 | 42094, 110594, 86813, 58857, 67486 |
T_25_29 |
Total population age 25-29 | integer | 0% | 33 | 34503, 90660, 71168, 48250, 55322 |
T_30_34 |
Total population age 30-34 | integer | 0% | 33 | 28765, 75573, 59324, 40219, 46117 |
T_35_39 |
Total population age 35-39 | integer | 0% | 33 | 24407, 64126, 50339, 34126, 39137 |
T_40_44 |
Total population age 40-44 | integer | 0% | 33 | 19781, 51963, 40795, 27653, 31715 |
T_45_49 |
Total population age 45-49 | integer | 0% | 33 | 16140, 42404, 33287, 22569, 25877 |
T_50_54 |
Total population age 50-54 | integer | 0% | 33 | 13411, 35237, 27661, 18752, 21498 |
T_55_59 |
Total population age 55-59 | integer | 0% | 33 | 10945, 28758, 22578, 15308, 17552 |
T_60_64 |
Total population age 60-64 | integer | 0% | 33 | 8475, 22276, 17486, 11856, 13591 |
T_65_69 |
Total population age 65-69 | integer | 0% | 33 | 5953, 15644, 12279, 8319, 9543 |
T_70_74 |
Total population age 70-74 | integer | 0% | 33 | 3945, 10373, 8142, 5521, 6323 |
T_75_79 |
Total population age 75-79 | integer | 0% | 33 | 2133, 5613, 4403, 2987, 3421 |
T_80plus |
T_80plus | integer | 0% | 33 | 1147, 3013, 2365, 1602, 1839 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 100 | CI1201, CI1202, CI2601, CI2602, CI2603 |
region_name |
Region name | string | SEL | 0% | 100 | Fresco, Sassandra, Buyo, Gueyo, Meagui |
F_TL |
Female population | integer | SEL | 0% | 100 | 54468, 157599, 98536, 44527, 112827 |
M_TL |
Male population | integer | SEL | 0% | 100 | 61154, 184237, 111337, 50981, 120581 |
T_TL |
Total population | integer | SEL | 0% | 100 | 115622, 341836, 209873, 95508, 233408 |
| 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 | string | 100% | - | - |
ADM0_FR |
ADM0_FR | string | 0% | 1 | Côte d'Ivoire, Côte d'Ivoire, Côte d'Ivoire, Côte... |
Region |
Region | string | 0% | 14 | Bas-Sassandra, Bas-Sassandra, Bas-Sassandra,... |
T_00_04 |
Total population age 0-4 | integer | 0% | 100 | 18838, 55698, 34195, 15561, 38031 |
T_05_09 |
Total population age 5-9 | integer | 0% | 100 | 16207, 47918, 29420, 13388, 32719 |
T_10_14 |
Total population age 10-14 | integer | 0% | 100 | 14335, 42382, 26019, 11842, 28938 |
T_15_19 |
Total population age 15-19 | integer | 0% | 100 | 12734, 37647, 23112, 10519, 25704 |
T_20_24 |
Total population age 20-24 | integer | 0% | 100 | 10639, 31455, 19310, 8787, 21476 |
T_25_29 |
Total population age 25-29 | integer | 0% | 100 | 8721, 25782, 15830, 7205, 17605 |
T_30_34 |
Total population age 30-34 | integer | 0% | 100 | 7271, 21494, 13196, 6006, 14676 |
T_35_39 |
Total population age 35-39 | integer | 0% | 100 | 6169, 18238, 11196, 5095, 12453 |
T_40_44 |
Total population age 40-44 | integer | 0% | 99 | 4999, 14782, 9072, 4128, 10092 |
T_45_49 |
Total population age 45-49 | integer | 0% | 100 | 4079, 12061, 7405, 3370, 8234 |
T_50_54 |
Total population age 50-54 | integer | 0% | 100 | 3390, 10021, 6154, 2800, 6842 |
T_55_59 |
Total population age 55-59 | integer | 0% | 100 | 2767, 8178, 5022, 2284, 5585 |
T_60_64 |
Total population age 60-64 | integer | 0% | 100 | 2142, 6333, 3891, 1770, 4326 |
T_65_69 |
Total population age 65-69 | integer | 0% | 100 | 1504, 4449, 2732, 1243, 3038 |
T_70_74 |
Total population age 70-74 | integer | 0% | 98 | 998, 2947, 1811, 825, 2014 |
T_75_79 |
Total population age 75-79 | integer | 0% | 97 | 540, 1593, 981, 446, 1090 |
T_80plus |
T_80plus | integer | 0% | 94 | 289, 858, 527, 239, 585 |
ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV, CIV, CIV, CIV, CIV |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 11 | Total, Abidjan, Bas Sassandra, Comoe, Denguele |
human_development_index |
Human development index | float | SEL | 0% | 64 | 0.434, 0.426, 0.435, 0.39, 0.337 |
health_index |
Health index | float | SEL | 0% | 65 | 0.505, 0.533, 0.523, 0.486, 0.463 |
education_index |
Education index | float | SEL | 0% | 83 | 0.297, 0.26, 0.288, 0.246, 0.164 |
income_index |
Income index | float | SEL | 0% | 60 | 0.544, 0.556, 0.549, 0.494, 0.503 |
life_expectancy |
Life expectancy | float | SEL | 0% | 96 | 52.8, 54.62, 53.97, 51.59, 50.13 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 99 | 4.457, 3.305, 3.928, 3.173, 2.096 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 10 | 1990, 1990, 1990, 1990, 1990 |
level |
level | string | 0% | 2 | national, subnational, subnational, subnational, subnational |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CI, CI, CI, CI, CI |
population_count |
Population count | float | SEL | 2% | 65 | 3673666.0, 3810151.0, 3956939.0, 4112061.0, 4273952.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 37.244, 37.923, 38.62, 39.315, 39.966 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 148.680788984181, 162.262764436326, 163.076679659123,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 89% | 7 | 34.1399993896484, 36.3499984741211, 48.7400016784668,... |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 321.0, 313.0, 305.1, 297.1, 289.3 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 96% | 3 | 44.4, 39.5, 37.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cote d'Ivoire, Cote d'Ivoire, Cote d'Ivoire, Cote... |
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 | CI, CI, CI, CI, CI |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 37.244, 37.923, 38.62, 39.315, 39.966 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 64 | 90.7, 89.0, 87.4, 85.9, 84.7 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 61 | 321.0, 313.0, 305.1, 297.1, 289.3 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 37 | 766.0, 735.0, 697.0, 671.0, 645.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 7.691, 7.72, 7.75, 7.781, 7.811 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 54.648, 54.601, 54.539, 54.449, 54.271 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 63 | 27.514, 26.894, 26.252, 25.625, 25.025 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 74% | 17 | 0.033, 0.048, 0.064, 0.071, 0.088 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 92% | 5 | 1.34876954555511, 1.15610003471375, 0.828499972820282,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 38% | 29 | 19.0, 25.0, 30.0, 31.0, 31.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.61476922, 3.59047151, 3.54146051, 3.95147705, 4.02148724 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cote d'Ivoire, Cote d'Ivoire, Cote d'Ivoire, Cote... |
year |
year | integer | 0% | 66 | 1960, 1961, 1962, 1963, 1964 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 100 | abee1242, abid1235, abro1238, abur1243, adio1239 |
name |
Name | string | CCL | 0% | 100 | Abé, Abidji, Abron, Abure, Adioukrou |
iso639_3 |
Iso639 3 | string | CCL | 4% | 96 | aba, abi, abr, abu, adj |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 1% | 9 | atla1278, atla1278, atla1278, atla1278, atla1278 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 1% | 70 | agne1238, agne1238, akan1251, west2816, agne1238 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 15 | ['CI'], ['CI'], ['CI', 'GH'], ['CI'], ['CI'] |
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% | 14 | 4, 2, 0, 0, 0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 2% | 97 | 5.59682, 5.65656, 7.72094, 5.21534, 5.38228 |
longitude |
longitude | float | 2% | 98 | -4.38497, -4.58421, -2.50289, -3.64123, -4.52522 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| 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 | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 25 | 49.7, 61.7, 59.6, 61.7, 31.2 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 27 | 66.7, 70.6, 82.0, 83.1, 48.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cote d'Ivoire, Cote d'Ivoire, Cote d'Ivoire, Cote... |
survey_year |
survey_year | integer | 0% | 2 | 2021, 2021, 2012, 2021, 2012 |
region |
region | string | 0% | 19 | ..Lacs, ..Yamoussoukro, Abidjan, Abidjan, Bas Sassandra |
survey_id |
survey_id | string | 0% | 2 | CI2021DHS, CI2021DHS, CI2012DHS, CI2021DHS, CI2012DHS |
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 | 23% | 35 | 3.9, 6.8, 22.6, 2.3, 8.8 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 42 | 97.0, 74.0, 56.0, 106.0, 82.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 42 | 164.0, 127.0, 85.0, 167.0, 122.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 23% | 35 | 25.1, 49.7, 49.5, 30.1, 49.2 |
children_underweight |
Children underweight | float | CCL | 23% | 34 | 21.3, 14.2, 9.9, 28.8, 13.9 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Cote d'Ivoire, Cote d'Ivoire, Cote d'Ivoire, Cote... |
survey_year |
survey_year | integer | 0% | 5 | 1994, 1994, 2021, 1994, 1994 |
region |
region | string | 0% | 25 | ..Foret Rurale, ..Foret Urbaine, ..Lacs, ..Savane... |
survey_id |
survey_id | string | 0% | 5 | CI1994DHS, CI1994DHS, CI2021DHS, CI1994DHS, CI1994DHS |
survey_type |
survey_type | string | 0% | 2 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Côte d’Ivoire |
admin_code |
Admin code | string | SEL | 0% | 1 | 2848817B75463690839637 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 320676.9215 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 29269896 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 91.28 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV, CIV, CIV, CIV, CIV |
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% | 14 | District Autonome D'Abidjan, Montagnes,... |
admin_code |
Admin code | string | SEL | 0% | 14 | 83157122B76853064397847, 83157122B69310198422077,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 14 | 2138.3134, 30646.7873, 23876.5318, 28234.219, 15677.5702 |
pop_2024 |
Population count | integer | SEL | 0% | 14 | 6225110, 3133987, 3033071, 2996604, 2126646 |
pop_density_2024 |
Population density | float | SEL | 0% | 14 | 2911.22, 102.26, 127.03, 106.13, 135.65 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV, CIV, CIV, CIV, CIV |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 39 | Abidjan, Bouaké, Korhogo, Daloa, San-Pédro |
admin_code |
Admin code | integer | SEL | 0% | 39 | 2996, 2748, 2183, 1482, 813 |
area_sqkm |
Area sqkm | float | SEL | 0% | 38 | 499.6909, 105.3156, 62.6009, 57.6227, 54.6369 |
pop_2024 |
Population count | integer | SEL | 0% | 39 | 6005791, 694260, 323267, 294117, 262273 |
pop_density_2024 |
Population density | float | SEL | 0% | 39 | 12019.01, 6592.19, 5163.94, 5104.19, 4800.29 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 39 | 6450316, 704949, 348793, 324486, 273598 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 38 | 0.931, 0.985, 0.927, 0.906, 0.959 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 39 | Abidjan, Bouaké, Korhogo, Daloa, San-Pédro |
country_code |
Country code | string | SEL | 0% | 1 | CIV, CIV, CIV, CIV, CIV |
population |
Population count | integer | SEL | 0% | 39 | 6450316, 704949, 348793, 324486, 273598 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 39 | 2996, 2748, 2183, 1482, 813 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Côte d'Ivoire, Côte d'Ivoire, Côte d'Ivoire, Côte... |
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 |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2024.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 184.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .ci |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 41.0 |
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 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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 | 245,000 (2024 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 245000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2024 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 58.7 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 58.7 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 184 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | state-controlled Radiodiffusion Télévision Ivoirienne... |
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 | 41% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 425,000 (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 425000.0 |
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/iv.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 | 6700.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 86.538 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 37.5 |
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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 | one of West Africa’s most influential, stable, and... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $215.018 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 | 215.018 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $202.943 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 | 202.943 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $190.645 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 | 190.645 |
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% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 6.0 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 6.5% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 6.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 6.4% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 6.4 |
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 | $6,700 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $6,500 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 6500.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $6,300 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 6300.0 |
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 | $86.538 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 3.5% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 3.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 4.4% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 4.4 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 5.3% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 5.3 |
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 | 17.9% (2024 est.) |
| +114 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 | 70.4 |
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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 | 70.4% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 95% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 95.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 45.3% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 45.3 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 2.315 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 2.315 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 8.746 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 8.746 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 971 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 971.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 222.79 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 222.79 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 1.638 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 1.638 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 68.9% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 68.9 |
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 | 30.1% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 30.1 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 0.8% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 0.8 |
petroleum_total_petroleum_production_text |
petroleum_total_petroleum_production_text | string | 0% | 1 | 29,000 bbl/day (2023 est.) |
petroleum_total_petroleum_production_numeric |
petroleum_total_petroleum_production_numeric | float | 0% | 1 | 29000.0 |
petroleum_refined_petroleum_consumption_text |
petroleum_refined_petroleum_consumption_text | string | 0% | 1 | 87,000 bbl/day (2023 est.) |
petroleum_refined_petroleum_consumption_numeric |
petroleum_refined_petroleum_consumption_numeric | float | 0% | 1 | 87000.0 |
petroleum_crude_oil_estimated_reserves_text |
petroleum_crude_oil_estimated_reserves_text | string | 0% | 1 | 100 million barrels (2021 est.) |
petroleum_crude_oil_estimated_reserves_numeric |
petroleum_crude_oil_estimated_reserves_numeric | float | 0% | 1 | 100.0 |
natural_gas_production_text |
natural_gas_production_text | string | 0% | 1 | 2.474 billion cubic meters (2023 est.) |
| +9 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 | 86.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.4 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 53.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.38 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 4.441 |
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
environmental_issues_text |
environmental_issues_text | string | 0% | 1 | deforestation; water pollution from sewage and 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 | none of the selected agreements |
climate_text |
climate_text | string | 0% | 1 | tropical along coast, semiarid in far north; three... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 86.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 15.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 15.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 29.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 29.9 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 41.5% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 41.5 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 12.4% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 1.1% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 1.1 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 53.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.38% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 16.28 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 16.28 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 11.641 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 | 11.641 |
carbon_dioxide_emissions_from_consumed_natural_gas_text |
carbon_dioxide_emissions_from_consumed_natural_gas_text | string | 0% | 1 | 4.639 million 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 | 4.639 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 36 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 36.0 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 187.7 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 187.7 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 192 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 192.0 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 199.9 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 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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 | Ivoirian(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Ivoirian |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Akan 38%, Voltaique or Gur 22%, Northern Mande 22%, Kru... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 38.0 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 322463.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 318003.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 4460.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3458.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 515.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 1752.0 |
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 | 86.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 12.4 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 730.0 |
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Western Africa, bordering the North Atlantic Ocean,... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 8 00 N, 5 00 W |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 8.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 322,463 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 318,003 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 4,460 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | slightly larger than New Mexico |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,458 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Burkina Faso 545 km; Ghana 720 km; Guinea 816 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 545.0 |
coastline_text |
coastline_text | string | 0% | 1 | 515 km |
maritime_claims_territorial_sea_text |
maritime_claims_territorial_sea_text | string | 0% | 1 | 12 nm |
maritime_claims_territorial_sea_numeric |
maritime_claims_territorial_sea_numeric | float | 0% | 1 | 12.0 |
maritime_claims_exclusive_economic_zone_text |
maritime_claims_exclusive_economic_zone_text | string | 0% | 1 | 200 nm |
maritime_claims_exclusive_economic_zone_numeric |
maritime_claims_exclusive_economic_zone_numeric | float | 0% | 1 | 200.0 |
maritime_claims_continental_shelf_text |
maritime_claims_continental_shelf_text | string | 0% | 1 | 200 nm |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | tropical along coast, semiarid in far north; three... |
terrain_text |
terrain_text | string | 0% | 1 | mostly flat to undulating plains; mountains in northwest |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Monts Nimba 1,752 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Gulf of Guinea 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 250 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 250.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | petroleum, natural gas, diamonds, manganese, iron ore,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 86.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 15.1% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 15.1 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 29.9% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 29.9 |
| +15 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 | CIV |
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 Côte d'Ivoire |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Côte d'Ivoire |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | République de Côte d'Ivoire |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Cote d'Ivoire |
country_name_former_text |
country_name_former_text | string | 0% | 1 | Ivory Coast |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | name, which means "Ivory Coast" in French, reflects the... |
country_name_etymology_numeric |
country_name_etymology_numeric | float | 0% | 1 | 15.0 |
country_name_note |
country_name_note | string | 0% | 1 | note: pronounced coat-div-whar |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Yamoussoukro (legislative capital), Abidjan... |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 6 49 N, 5 16 W |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 6.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC 0 (5 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 0.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | formerly a village named N'Gokro, Yamoussoukro is named... |
capital_etymology_numeric |
capital_etymology_numeric | float | 0% | 1 | 20.0 |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 12 districts and 2 autonomous districts*; Abidjan*,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 12.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | civil law system based on the French civil code;... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | previous 1960, 2000; latest draft completed 24 September... |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 1960.0 |
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 | 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 Cote d'Ivoire |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | no |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 5 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 5.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
| +89 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 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Various small kingdoms ruled the area of Cote d'Ivoire... |
background_numeric |
background_numeric | float | 0% | 1 | 15.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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), 60 native dialects of which Dioula is... |
languages_languages_numeric |
Languages (numeric) | float | 0% | 1 | 60.0 |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | The World Factbook, une source indispensable... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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 | 69,176 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 69176.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 930,978 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 930978.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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 Cote d'Ivoire (Forces Armees de Cote... |
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 | 0.8% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 0.8 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 0.9% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 0.9 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 0.9% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 0.9 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.1% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.1% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.1 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 25-30,000 active FACI, including... |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 25.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the inventory of the FACI consists mostly of older or... |
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 | 18-26 (up to 35 for healthcare professionals) years of... |
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 | 180 Central African Republic (MINUSCA) (2025) |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 180.0 |
military_note_text |
military_note_text | string | 0% | 1 | the military (FACI) is responsible for external defense... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2016.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 31855971.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 15992906.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 15863065.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 36.1 |
age_structure_15_64_years_numeric |
Population 15 64 percent | float | SEL | 0% | 1 | 60.9 |
age_structure_65_years_and_over_numeric |
Population 65 plus percent | float | SEL | 0% | 1 | 3.0 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 72.2 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 67.5 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 4.7 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 20.0 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.33 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 29.87 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 6.93 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.39 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 53.1 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 3.38 |
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 | 1.01 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 359.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 52.3 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 63.2 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.85 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.9 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.17 |
literacy_total_population_numeric |
Literacy rate percent | float | SEL | 0% | 1 | 50.0 |
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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 | 31,855,971 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 15,992,906 |
population_female_text |
population_female_text | string | 0% | 1 | 15,863,065 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 36.1% (male 5,437,108/female 5,390,782) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 60.9% (male 9,200,957/female 9,060,748) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3% (2024 est.) (male 401,967/female 490,196) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 72.2 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 67.5 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 4.7 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 21.2 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 21.2 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 20 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 21.2 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 21.2 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 21.2 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 21.2 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.33% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 29.87 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 6.93 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.39 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | the population is primarily located in the forested... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 53.1% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 3.38% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 231,000 YAMOUSSOUKRO (capital) (2018), 5.686 million... |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 231000.0 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.03 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.01 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.02 |
| +92 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 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 42.9 |
composition_ethnicity_primary_label_synth |
Akan | string | CCL | 0% | - | Akan |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Muslim 42.9%, Catholic 17.2%, Evangelical 11.8%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 42.9 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_catholic_pct_synth |
Catholic | numeric | 0% | - | 17.2 |
composition_religion_evangelical_pct_synth |
Evangelical | numeric | 0% | - | 11.8 |
composition_religion_methodist_pct_synth |
Methodist | numeric | 0% | - | 1.7 |
composition_religion_other_christian_pct_synth |
other Christian | numeric | 0% | - | 3.2 |
composition_religion_animist_pct_synth |
animist | numeric | 0% | - | 3.6 |
composition_religion_other_religion_pct_synth |
other religion | numeric | 0% | - | 0.5 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 19.1 |
composition_ethnicity_akan_pct_synth |
Akan | numeric | 0% | - | 38.0 |
composition_ethnicity_voltaique_or_gur_pct_synth |
Voltaique or Gur | numeric | 0% | - | 22.0 |
composition_ethnicity_northern_mande_pct_synth |
Northern Mande | numeric | 0% | - | 22.0 |
composition_ethnicity_kru_pct_synth |
Kru | numeric | 0% | - | 9.1 |
composition_ethnicity_southern_mande_pct_synth |
Southern Mande | numeric | 0% | - | 8.6 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 0.3 |
composition_ethnicity_primary_share_pct_synth |
Akan | numeric | 0% | - | 38.0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
space_agency_agencies_text |
space_agency_agencies_text | string | 0% | 1 | National Office for Technical Studies and Development... |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2025.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a small, nascent program focused on satellite... |
space_program_overview_numeric |
space_program_overview_numeric | float | 0% | 1 | 2025.0 |
key_space_program_milestones_text |
key_space_program_milestones_text | string | 0% | 1 | 2023 - hosted an Africa-wide space industry conference;... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 2023.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
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 | al-Qa'ida in the Islamic Maghreb (AQIM); Jama’at Nusrat... |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.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 | TU |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 29.0 |
country_code |
Country code | string | SEL | 0% | 1 | CIV |
country_name |
Country name | string | SEL | 0% | 1 | Côte d'Ivoire |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
airports_text |
airports_text | string | 0% | 1 | 29 (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 | 660 km (2008) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 660.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 660 km (2008) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 660.0 |
railways_note |
railways_note | string | 0% | 1 | note: an additional 622 km of this railroad extends into... |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 25 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 25.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | oil tanker 2, other 23 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 2.0 |
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 | 1 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 1.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 0 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 0.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 0 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 0.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 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 | 5 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 5.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Abidjan, Baobab Marine Terminal, Espoir Marine Terminal,... |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/iv.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV, CIV, CIV, CIV, CIV |
society_id |
Society id | string | CCL | 0% | 15 | Af39, Af40, Af41, Af44, Af45 |
society_name |
Society name | string | CCL | 0% | 15 | Anyi, Assini, Attie, Alagya, Avikam |
language_glottocode |
Language glottocode | string | CCL | 0% | 14 | anyi1245, abur1243, atti1239, alla1248, avik1243 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 12 | EA001:0; EA002:1; EA003:0; EA004:1; EA005:8, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 11 | EA006:1; EA007:8; EA008:7; EA009:6; EA010:7, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 11 | EA028:3; EA029:5; EA030:5; EA031:NA; EA032:4, EA028:3;... |
political_complexity |
Political complexity | string | CCL | 0% | 8 | EA033:3; EA034:NA; EA035:NA, EA033:3; EA034:NA;... |
religion_importance |
Religion importance | string | CCL | 0% | 5 | EA034:NA; EA112:4, EA034:NA; EA112:NA, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 4 | EA011:1; EA012:10; EA013:9, EA011:1; EA012:10; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Ivory Coast, Ivory Coast, Ivory Coast, Ivory Coast, Ivory Coast |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 9 | 7.0, 5.27, 6.0, 5.22, 5.15 |
longitude |
longitude | float | 0% | 8 | -4.0, -3.58, -4.0, -4.42, -5.25 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CI, CI, CI, CI, CI |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | CIV, CIV, CIV, CIV, CIV |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 5 | 21.21, 0.0, 0.17, 0.0, 0.0 |
grocery |
grocery | float | 0% | 10 | 70.91, 42.4, 41.83, -0.13, 0.0 |
parks |
parks | float | 0% | 4 | 10.27, 8.92, 6.36, 0.0, 0.0 |
transit |
transit | float | 0% | 7 | 35.52, -6.67, -1.15, 0.0, 0.0 |
workplaces |
workplaces | float | 0% | 12 | 8.15, 15.23, 9.77, 7.18, 8.98 |
residential |
residential | float | 0% | 5 | 7.82, -0.25, 2.15, 0.0, 0.0 |
region |
region | string | 0% | 12 | Abidjan Autonomous District, Bas-Sassandra District,... |
observation_count |
observation_count | integer | 0% | 7 | 974, 949, 951, 949, 874 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | CIV |
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 | CIV |
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 | CIV |
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 | CIV |
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 | CIV |
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 | CIV, CIV, CIV, CIV, CIV |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 5 | Northerners (Mande and Voltaic/Gur), Other Akans, Baule,... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 3 | SENIOR PARTNER, JUNIOR PARTNER, JUNIOR PARTNER,... |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 5 | 0.34, 0.22, 0.2, 0.11, 0.1 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 5 | 43703000, 43704000, 43701000, 43702000, 43705000 |
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 |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CIV, CIV, CIV, CIV |
gns_language_code |
gns_language_code | string | CCL | 0% | 4 | fra, eng, spa, deu |
gns_language_name |
gns_language_name | string | CCL | 0% | 4 | French, English, Spanish, German |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 3 | 605, 38, 1, 1 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 3 | 93.7984, 5.8915, 0.155, 0.155 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 1 | , , , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 1 | , , , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0, 0, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | CIV |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Côte d’Ivoire |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 4 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 0 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 99.9875 |
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 | 23910 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 17776 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 23907 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 3 |
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 | 15271 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 10711 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 6667 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 5751 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 906 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 704 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 600 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 264 |
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 | 214 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 158 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 119 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 14 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 12 |
gns_name_count_undersea |
gns_name_count_undersea | integer | 0% | 1 | 5 |
gns_feature_count_undersea |
gns_feature_count_undersea | integer | 0% | 1 | 1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | CIV |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 98 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 5 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | integer | 0% | 1 | 4 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 53 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | integer | 0% | 1 | 7 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | integer | 0% | 1 | 7 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 7 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 30 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | integer | 0% | 1 | 6 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 6 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 61 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | float | 0% | 1 | 5.5 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 5 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 3 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 65 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 6.1 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 6.25 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 6.5 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 54 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 5.93 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 6.05 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 5.95 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 57 |
| +103 more pending fields — download the CSV/Parquet to see them all. | |||||
Which languages name the landscape here, and in which writing systems. A language's toponymic footprint and its speaker population are different measures and often diverge. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| French (fra) | 605 | 93.8% | — |
| English (eng) | 38 | 5.9% | — |
| Spanish (spa) | 1 | 0.2% | — |
| German (deu) | 1 | 0.2% | — |
17,776 distinct features ·
4 languages ·
0 scripts ·
3 conventional English names
Source: NGA GEOnet Names Server
(public domain) · rebuilt Wed, 05 Aug 2026.
Names follow the US/BGN convention.
The data providers this country's datasets are sourced from — each links out to the provider.
Pick datasets and admin level(s). You'll get a .zip with one CSV per dataset, each filtered to the levels you choose.