| 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 |
| 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_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 | 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_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 | 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) | 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.