| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN, KEN, KEN, KEN, KEN |
region_code |
Admin code | string | SEL | 100% | - | - |
region_name |
Admin name | string | SEL | 0% | 9 | Total, Central, Coast, Eastern, Nairobi |
human_development_index |
Human development index | float | SEL | 0% | 74 | 0.524, 0.568, 0.489, 0.521, 0.638 |
health_index |
Health index | float | SEL | 0% | 78 | 0.59, 0.704, 0.56, 0.647, 0.612 |
education_index |
Education index | float | SEL | 0% | 71 | 0.437, 0.462, 0.355, 0.408, 0.583 |
income_index |
Income index | float | SEL | 0% | 68 | 0.557, 0.563, 0.589, 0.536, 0.728 |
life_expectancy |
Life expectancy | float | SEL | 0% | 96 | 58.33, 65.75, 56.43, 62.04, 59.77 |
mean_years_schooling |
Mean years schooling | float | SEL | 0% | 100 | 6.562, 7.156, 5.208, 5.816, 11.72 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 12 | 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 | 100% | - | - |
women_who_are_literate |
Women who are literate | float | CCL | 0% | 86 | 86.3, 87.6, 89.4, 95.9, 88.7 |
men_who_are_literate |
Men who are literate | float | CCL | 0% | 79 | 84.9, 94.3, 92.9, 99.3, 79.5 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kenya, Kenya, Kenya, Kenya, Kenya |
survey_year |
survey_year | integer | 0% | 4 | 2014, 2022, 2014, 2022, 2014 |
region |
region | string | 0% | 48 | ..Baringo, ..Baringo, ..Bomet, ..Bomet, ..Bungoma |
survey_id |
survey_id | string | 0% | 4 | KE2014DHS, KE2022DHS, KE2014DHS, KE2022DHS, KE2014DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 100% | - | - |
contraception_modern_pct |
Contraception modern percent | float | SEL | 0% | 85 | 24.4, 38.2, 34.5, 38.9, 37.3 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 0% | 40 | 33.0, 50.0, 45.0, 26.0, 39.0 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 0% | 52 | 40.0, 55.0, 50.0, 28.0, 57.0 |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 0% | 84 | 78.3, 84.8, 87.0, 83.9, 80.8 |
children_underweight |
Children underweight | float | CCL | 2% | 69 | 20.2, 19.9, 12.0, 9.8, 9.0 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kenya, Kenya, Kenya, Kenya, Kenya |
survey_year |
survey_year | integer | 0% | 7 | 2014, 2022, 2014, 2022, 2014 |
region |
region | string | 0% | 48 | ..Baringo, ..Baringo, ..Bomet, ..Bomet, ..Bungoma |
survey_id |
survey_id | string | 0% | 7 | KE2014DHS, KE2022DHS, KE2014DHS, KE2022DHS, KE2014DHS |
survey_type |
survey_type | string | 0% | 1 | DHS, DHS, DHS, DHS, DHS |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_of_origin_iso |
Country of origin iso | string | CCL | 0% | 1 | -, -, -, -, - |
refugees |
Refugees | integer | CCL | 0% | 75 | 2116011, 1952928, 1847304, 1749628, 1717966 |
idps |
Idps | integer | CCL | 0% | 34 | 0, 0, 0, 0, 0 |
stateless |
Stateless | integer | CCL | 0% | 23 | 0, 0, 0, 0, 0 |
others_of_concern |
Others of concern | integer | CCL | 0% | 30 | 0, 0, 0, 0, 0 |
total_population |
Total population | string | CCL | 100% | - | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
year |
year | integer | 0% | 75 | 1951, 1952, 1953, 1954, 1955 |
country_of_origin |
country_of_origin | string | 100% | - | - |
country_of_asylum |
country_of_asylum | string | 100% | - | - |
country_of_asylum_iso |
country_of_asylum_iso | string | 0% | 1 | -, -, -, -, - |
population_type |
population_type | string | 100% | - | - |
asylum_seekers |
asylum_seekers | integer | 0% | 34 | 0, 0, 0, 0, 0 |
female_total |
female_total | string | 100% | - | - |
male_total |
male_total | string | 100% | - | - |
female_0_4 |
female_0_4 | string | 100% | - | - |
female_5_11 |
female_5_11 | string | 100% | - | - |
female_12_17 |
female_12_17 | string | 100% | - | - |
female_18_59 |
female_18_59 | string | 100% | - | - |
female_60_plus |
female_60_plus | string | 100% | - | - |
male_0_4 |
male_0_4 | string | 100% | - | - |
male_5_11 |
male_5_11 | string | 100% | - | - |
male_12_17 |
male_12_17 | string | 100% | - | - |
male_18_59 |
male_18_59 | string | 100% | - | - |
male_60_plus |
male_60_plus | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KE, KE, KE, KE, KE |
population_count |
Population count | float | SEL | 2% | 65 | 7695307.0, 7987770.0, 8299308.0, 8627971.0, 8973535.0 |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 48.477, 49.33, 50.104, 50.758, 51.323 |
gdp_per_capita_usd |
Gdp per capita usd | float | SEL | 2% | 65 | 102.824417465582, 99.2716957068382, 104.600455936259,... |
literacy_rate_pct |
Literacy rate percent | float | SEL | 99% | 1 | 82.2300033569336 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 196.3, 188.3, 181.1, 175.0, 170.0 |
poverty_headcount_pct |
Poverty headcount percent | float | SEL | 88% | 8 | 57.2, 40.3, 52.3, 46.8, 36.1 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kenya, Kenya, Kenya, Kenya, Kenya |
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 | KE, KE, KE, KE, KE |
life_expectancy |
Life expectancy | float | SEL | 3% | 64 | 48.477, 49.33, 50.104, 50.758, 51.323 |
infant_mortality_per_1000 |
Infant mortality per 1000 | float | SEL | 3% | 54 | 48.2, 46.7, 45.1, 43.8, 42.7 |
under5_mortality_per_1000 |
Under5 mortality per 1000 | float | SEL | 3% | 63 | 196.3, 188.3, 181.1, 175.0, 170.0 |
maternal_mortality_per_100k |
Maternal mortality per 100k | float | SEL | 41% | 34 | 1375.0, 1059.0, 960.0, 756.0, 663.0 |
fertility_rate |
Fertility rate | float | SEL | 3% | 64 | 7.651, 7.715, 7.769, 7.817, 7.869 |
birth_rate_per_1000 |
Birth rate per 1000 | float | SEL | 3% | 64 | 55.184, 55.385, 55.377, 55.289, 55.117 |
death_rate_per_1000 |
Death rate per 1000 | float | SEL | 3% | 64 | 18.794, 18.02, 17.326, 16.721, 16.189 |
physicians_per_1000 |
Physicians per 1000 | float | SEL | 67% | 20 | 0.092, 0.075, 0.125, 0.127, 0.099 |
hospital_beds_per_1000 |
Hospital beds per 1000 | float | SEL | 86% | 8 | 1.25048005580902, 1.26429998874664, 1.25,... |
vaccination_rate_pct |
Vaccination rate percent | float | SEL | 38% | 23 | 58.0, 70.0, 72.0, 77.0, 82.0 |
health_expenditure_pct_gdp |
Health expenditure percent gdp | float | SEL | 64% | 24 | 3.62451434, 3.74002314, 3.82159472, 4.03365707, 4.21159506 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kenya, Kenya, Kenya, Kenya, Kenya |
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 | KEN |
admin_level |
Admin level | string | SEL | 0% | 1 | admin_0 |
admin_name |
Admin name | string | SEL | 0% | 1 | Republic of Kenya |
admin_code |
Admin code | string | SEL | 0% | 1 | 21065076B29129174773383 |
area_sqkm |
Area sqkm | float | SEL | 0% | 1 | 590901.9634 |
pop_2024 |
Population count | integer | SEL | 0% | 1 | 58122001 |
pop_density_2024 |
Population density | float | SEL | 0% | 1 | 98.36 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN, KEN, KEN, KEN, KEN |
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% | 47 | Nairobi, Kiambu, Nakuru, Kakamega, Meru |
admin_code |
Admin code | string | SEL | 0% | 47 | 32016919B57908315498598, 32016919B11020559484650,... |
area_sqkm |
Area sqkm | float | SEL | 0% | 47 | 704.1615, 2574.4948, 7446.2383, 2988.4928, 6899.6111 |
pop_2024 |
Population count | integer | SEL | 0% | 47 | 5362243, 3005705, 2639822, 2275629, 1891302 |
pop_density_2024 |
Population density | float | SEL | 0% | 47 | 7615.08, 1167.49, 354.52, 761.46, 274.12 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN, KEN, KEN, KEN, KEN |
admin_level |
Admin level | string | SEL | 0% | 1 | locality, locality, locality, locality, locality |
admin_name |
Admin name | string | SEL | 0% | 45 | Nairobi, Mombasa, Nakuru, Eldoret, Kisumu |
admin_code |
Admin code | integer | SEL | 0% | 45 | 1717, 2902, 1529, 1220, 994 |
area_sqkm |
Area sqkm | float | SEL | 0% | 45 | 594.0003, 179.7999, 103.3039, 89.3973, 67.5448 |
pop_2024 |
Population count | integer | SEL | 0% | 45 | 6083491, 1430700, 488867, 465452, 425032 |
pop_density_2024 |
Population density | float | SEL | 0% | 45 | 10241.56, 7957.18, 4732.32, 5206.56, 6292.59 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
ghs_pop_2025 |
ghs_pop_2025 | integer | 0% | 45 | 6646257, 1617739, 628218, 439307, 452000 |
landscan_vs_ghs_ratio |
landscan_vs_ghs_ratio | float | 0% | 45 | 0.915, 0.884, 0.778, 1.06, 0.94 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
glottocode |
Glottocode | string | CCL | 0% | 84 | adho1243, amer1248, asut1235, awee1242, bora1271 |
name |
Name | string | CCL | 0% | 84 | Adhola, American Sign Language, Asu (Tanzania), Aweer,... |
iso639_3 |
Iso639 3 | string | CCL | 6% | 79 | adh, ase, asa, bob, gax |
level |
Level | string | CCL | 0% | 1 | language, language, language, language, language |
family_name |
Family name | string | CCL | 100% | - | - |
family_glottocode |
Family glottocode | string | CCL | 0% | 8 | nilo1247, sign1238, atla1278, afro1255, afro1255 |
parent_name |
Parent name | string | CCL | 100% | - | - |
parent_glottocode |
Parent glottocode | string | CCL | 0% | 57 | adho1242, amer1258, pare1277, karr1237, cent2424 |
endangerment_status |
Endangerment status | string | CCL | 100% | - | - |
country_codes |
Country codes | string | SEL+ | 0% | 14 | ['KE', 'UG'], ['BB', 'BF', 'BJ', 'BO', 'CA', 'CD', 'CF',... |
child_family_count |
Child family count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_language_count |
Child language count | integer | CCL | 0% | 1 | 0, 0, 0, 0, 0 |
child_dialect_count |
Child dialect count | integer | CCL | 0% | 12 | 0, 2, 0, 9, 8 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
latitude |
latitude | float | 4% | 81 | 0.73235, 33.8117, -4.17978, -1.40124, 1.05676 |
longitude |
longitude | float | 4% | 81 | 34.0341, -81.6121, 37.8323, 41.234, 37.882 |
classification |
classification | string | 0% | 1 | [], [], [], [], [] |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
pcode |
Admin code | string | SEL | 0% | 47 | KE001, KE002, KE003, KE004, KE005 |
region_name |
Region name | string | SEL | 0% | 47 | Mombasa, Kwale, Kilifi, Tana River, Lamu |
F_TL |
Female population | integer | SEL | 0% | 47 | 598046, 441681, 749673, 157391, 67813 |
M_TL |
Male population | integer | SEL | 0% | 47 | 610257, 425121, 704089, 158550, 76103 |
T_TL |
Total population | integer | SEL | 0% | 47 | 1208303, 866802, 1453762, 315941, 143916 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
admin_level |
Admin level | string | 0% | 1 | admin_1, admin_1, admin_1, admin_1, admin_1 |
year |
Reference year | integer | 0% | 1 | 2019, 2019, 2019, 2019, 2019 |
ADM0_NAME |
ADM0_NAME | string | 0% | 1 | Kenya, Kenya, Kenya, Kenya, Kenya |
F_00_04 |
Female population age 0-4 | integer | 0% | 47 | 73178, 64761, 99912, 26006, 9134 |
F_05_09 |
Female population age 5-9 | integer | 0% | 47 | 65459, 65043, 102458, 25878, 9241 |
F_10_14 |
Female population age 10-14 | integer | 0% | 47 | 58280, 62091, 103193, 22971, 8981 |
F_15_19 |
Female population age 15-19 | integer | 0% | 47 | 53189, 47688, 85085, 16060, 7229 |
F_20_24 |
Female population age 20-24 | integer | 0% | 47 | 75911, 39092, 71704, 14218, 6036 |
F_25_29 |
Female population age 25-29 | integer | 0% | 47 | 72801, 34388, 60525, 11740, 5083 |
F_30_34 |
Female population age 30-34 | integer | 0% | 47 | 60864, 30715, 54385, 9491, 4882 |
F_35_39 |
Female population age 35-39 | integer | 0% | 47 | 42035, 20499, 32187, 6624, 3560 |
F_40_44 |
Female population age 40-44 | integer | 0% | 47 | 31720, 19570, 33860, 5387, 3190 |
F_45_49 |
Female population age 45-49 | integer | 0% | 47 | 21602, 13753, 22598, 4795, 2597 |
F_50_54 |
Female population age 50-54 | integer | 0% | 47 | 13602, 8758, 18232, 3450, 1847 |
F_55_59 |
Female population age 55-59 | integer | 0% | 47 | 10201, 8180, 15716, 2927, 1796 |
F_60_64 |
Female population age 60-64 | integer | 0% | 47 | 7385, 9391, 17882, 2759, 1451 |
F_65_69 |
Female population age 65-69 | integer | 0% | 47 | 4852, 6572, 11435, 1865, 1043 |
F_70_74 |
Female population age 70-74 | integer | 0% | 47 | 3319, 5267, 8860, 1542, 846 |
F_75_79 |
Female population age 75-79 | integer | 0% | 47 | 1609, 2344, 5000, 654, 365 |
F_80_84 |
Female population age 80-84 | integer | 0% | 46 | 1136, 1904, 3337, 522, 268 |
F_85_89 |
Female population age 85-89 | integer | 0% | 47 | 509, 905, 1878, 229, 117 |
F_90_94 |
Female population age 90-94 | integer | 0% | 46 | 225, 420, 752, 155, 76 |
F_95_99 |
Female population age 95-99 | integer | 0% | 46 | 98, 174, 418, 67, 35 |
F_100Plus |
Female population age 100+ | integer | 0% | 46 | 59, 160, 245, 50, 35 |
F_Unstated |
F_Unstated | integer | 0% | 16 | 12, 6, 11, 1, 1 |
M_00_04 |
Male population age 0-4 | integer | 0% | 47 | 74725, 65529, 100919, 27172, 9604 |
M_05_09 |
Male population age 5-9 | integer | 0% | 47 | 64527, 66699, 103727, 27091, 9505 |
M_10_14 |
Male population age 10-14 | integer | 0% | 47 | 57144, 63198, 103579, 23719, 9492 |
M_15_19 |
Male population age 15-19 | integer | 0% | 47 | 47544, 49416, 87265, 16872, 7923 |
M_20_24 |
Male population age 20-24 | integer | 0% | 47 | 63822, 32703, 63687, 12958, 7134 |
| +39 more pending fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
city_name |
Admin name | string | SEL | 0% | 45 | Nairobi, Mombasa, Nakuru, Kisumu, Eldoret |
country_code |
Country code | string | SEL | 0% | 1 | KEN, KEN, KEN, KEN, KEN |
population |
Population count | integer | SEL | 0% | 45 | 6646257, 1617739, 628218, 452000, 439307 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
city_id |
city_id | integer | 0% | 45 | 1717, 2902, 1529, 994, 1220 |
name_alternates |
name_alternates | string | 100% | - | - |
country_name |
country_name | string | 0% | 1 | Kenya, Kenya, Kenya, Kenya, Kenya |
population_year |
population_year | integer | 0% | 1 | 2025, 2025, 2025, 2025, 2025 |
latitude |
latitude | string | 100% | - | - |
longitude |
longitude | string | 100% | - | - |
region |
region | string | 100% | - | - |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KE, KE, KE, KE, KE |
admin_level |
Admin level | integer | SEL | 0% | 1 | 1, 1, 1, 1, 1 |
iso3 |
Country code | string | SEL | 0% | 1 | KEN, KEN, KEN, KEN, KEN |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
retail |
retail | float | 0% | 36 | 0.0, -0.95, 0.44, -0.76, -2.42 |
grocery |
grocery | float | 0% | 28 | 0.0, -0.45, 0.03, -1.16, -0.47 |
parks |
parks | float | 0% | 18 | 0.0, 0.0, -48.33, 0.0, 0.0 |
transit |
transit | float | 0% | 28 | 0.0, 0.0, -23.03, -0.41, -35.33 |
workplaces |
workplaces | float | 0% | 38 | -7.18, 29.38, 26.41, 38.5, 8.25 |
residential |
residential | float | 0% | 14 | 0.0, 0.0, 0.0, 0.0, 0.0 |
region |
region | string | 0% | 38 | Baringo County, Bomet County, Bungoma County, Busia... |
observation_count |
observation_count | integer | 0% | 23 | 345, 553, 949, 792, 949 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN, KEN, KEN, KEN, KEN |
society_id |
Society id | string | CCL | 0% | 23 | Ad31, Ad32, Ad33, Ad34, Ad35 |
society_name |
Society name | string | CCL | 0% | 23 | Duruma, Giriama, Pokomo, Kamba, Meru |
language_glottocode |
Language glottocode | string | CCL | 0% | 23 | duru1249, giry1241, poko1261, kamb1297, meru1245 |
language_name |
Language name | string | CCL | 0% | 1 | , , , , |
kinship_system |
Kinship system | string | CCL | 0% | 16 | EA001:0; EA002:1; EA003:0; EA004:3; EA005:6, EA001:0;... |
marriage_pattern |
Marriage pattern | string | CCL | 0% | 8 | EA006:1; EA007:8; EA008:8; EA009:2; EA010:8, EA006:1;... |
subsistence_pattern |
Subsistence pattern | string | CCL | 0% | 20 | EA028:NA; EA029:NA; EA030:NA; EA031:NA; EA032:NA,... |
political_complexity |
Political complexity | string | CCL | 0% | 13 | EA033:NA; EA034:NA; EA035:NA, EA033:4; EA034:1;... |
religion_importance |
Religion importance | string | CCL | 0% | 14 | EA034:NA; EA112:NA, EA034:1; EA112:2, EA034:NA;... |
residence_pattern |
Residence pattern | string | CCL | 0% | 4 | EA011:1; EA012:8; EA013:9, EA011:1; EA012:8; EA013:9,... |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
country_name |
country_name | string | 0% | 1 | Kenya, Kenya, Kenya, Kenya, Kenya |
dataset |
dataset | string | 0% | 1 | EA, EA, EA, EA, EA |
region |
region | string | 0% | 1 | , , , , |
latitude |
latitude | float | 0% | 7 | -4.0, -3.0, -1.0, -2.0, 0.0 |
longitude |
longitude | float | 0% | 8 | 39.0, 40.0, 40.0, 38.0, 35.0 |
assignment_method |
assignment_method | string | 0% | 1 | point_in_polygon, point_in_polygon, point_in_polygon,... |
assignment_confidence |
assignment_confidence | string | 0% | 1 | approximate, approximate, approximate, approximate, approximate |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
telephones_fixed_lines_subscriptions_per_100_inhabitants_numeric |
Fixed line subscriptions per 100 | float | SEL | 0% | 1 | 2023.0 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_numeric |
Mobile subscriptions per 100 | float | SEL | 0% | 1 | 126.0 |
internet_country_code_text |
Internet country code text | string | SEL+ | 0% | 1 | .ke |
internet_users_percent_of_population_numeric |
Internet penetration percent | float | SEL | 0% | 1 | 35.0 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_numeric |
Broadband subscriptions per 100 | float | SEL | 0% | 1 | 2.0 |
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | 68,000 (2023 est.) |
telephones_fixed_lines_total_subscriptions_numeric |
telephones_fixed_lines_total_subscriptions_numeric | float | 0% | 1 | 68000.0 |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text |
telephones_fixed_lines_subscriptions_per_100_inhabitants_text | string | 0% | 1 | (2023 est.) less than 1 |
telephones_mobile_cellular_total_subscriptions_text |
telephones_mobile_cellular_total_subscriptions_text | string | 0% | 1 | 71.4 million (2024 est.) |
telephones_mobile_cellular_total_subscriptions_numeric |
telephones_mobile_cellular_total_subscriptions_numeric | float | 0% | 1 | 71.4 |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text |
telephones_mobile_cellular_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 126 (2024 est.) |
broadcast_media_text |
broadcast_media_text | string | 0% | 1 | about a half-dozen large, privately owned media... |
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 | 35% (2023 est.) |
broadband_fixed_subscriptions_total_text |
broadband_fixed_subscriptions_total_text | string | 0% | 1 | 1.32 million (2023 est.) |
broadband_fixed_subscriptions_total_numeric |
broadband_fixed_subscriptions_total_numeric | float | 0% | 1 | 1.32 |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text |
broadband_fixed_subscriptions_subscriptions_per_100_inhabitants_text | string | 0% | 1 | 2 (2023 est.) |
source_section |
source_section | string | 0% | 1 | Communications |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.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 | 5800.0 |
gdp_official_exchange_rate_numeric |
Gdp total usd | float | SEL | 0% | 1 | 124.499 |
population_below_poverty_line_numeric |
Poverty headcount percent | float | SEL | 0% | 1 | 38.6 |
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | fast growing, third largest Sub-Saharan economy; strong... |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2024_text |
Real gdp purchasing power parity 2024 (text) | string | 0% | 1 | $328.632 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 | 328.632 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2023_text |
Real gdp purchasing power parity 2023 (text) | string | 0% | 1 | $314.491 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 | 314.491 |
real_gdp_purchasing_power_parity_real_gdp_purchasing_power_parity_2022_text |
Real gdp purchasing power parity 2022 (text) | string | 0% | 1 | $297.938 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 | 297.938 |
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 | 4.5% (2024 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2024_numeric |
Real gdp growth rate 2024 (numeric) | float | 0% | 1 | 4.5 |
real_gdp_growth_rate_real_gdp_growth_rate_2023_text |
Real gdp growth rate 2023 (text) | string | 0% | 1 | 5.6% (2023 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2023_numeric |
Real gdp growth rate 2023 (numeric) | float | 0% | 1 | 5.6 |
real_gdp_growth_rate_real_gdp_growth_rate_2022_text |
Real gdp growth rate 2022 (text) | string | 0% | 1 | 4.9% (2022 est.) |
real_gdp_growth_rate_real_gdp_growth_rate_2022_numeric |
Real gdp growth rate 2022 (numeric) | float | 0% | 1 | 4.9 |
real_gdp_growth_rate_note |
real_gdp_growth_rate_note | string | 0% | 1 | note: annual GDP % growth based on constant local currency |
real_gdp_per_capita_real_gdp_per_capita_2024_text |
Real gdp per capita 2024 (text) | string | 0% | 1 | $5,800 (2024 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_text |
Real gdp per capita 2023 (text) | string | 0% | 1 | $5,700 (2023 est.) |
real_gdp_per_capita_real_gdp_per_capita_2023_numeric |
Real gdp per capita 2023 (numeric) | float | 0% | 1 | 5700.0 |
real_gdp_per_capita_real_gdp_per_capita_2022_text |
Real gdp per capita 2022 (text) | string | 0% | 1 | $5,500 (2022 est.) |
real_gdp_per_capita_real_gdp_per_capita_2022_numeric |
Real gdp per capita 2022 (numeric) | float | 0% | 1 | 5500.0 |
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 | $124.499 billion (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_text |
Inflation rate consumer prices 2024 (text) | string | 0% | 1 | 4.5% (2024 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2024_numeric |
Inflation rate consumer prices 2024 (numeric) | float | 0% | 1 | 4.5 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_text |
Inflation rate consumer prices 2023 (text) | string | 0% | 1 | 7.7% (2023 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2023_numeric |
Inflation rate consumer prices 2023 (numeric) | float | 0% | 1 | 7.7 |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_text |
Inflation rate consumer prices 2022 (text) | string | 0% | 1 | 7.7% (2022 est.) |
inflation_rate_consumer_prices_inflation_rate_consumer_prices_2022_numeric |
Inflation rate consumer prices 2022 (numeric) | float | 0% | 1 | 7.7 |
inflation_rate_consumer_prices_note |
inflation_rate_consumer_prices_note | string | 0% | 1 | note: annual % change based on consumer prices |
gdp_composition_by_sector_of_origin_agriculture_text |
gdp_composition_by_sector_of_origin_agriculture_text | string | 0% | 1 | 21.3% (2024 est.) |
| +121 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 | 76.0 |
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | 76% (2022 est.) |
electricity_access_electrification_urban_areas_text |
electricity_access_electrification_urban_areas_text | string | 0% | 1 | 98% |
electricity_access_electrification_urban_areas_numeric |
electricity_access_electrification_urban_areas_numeric | float | 0% | 1 | 98.0 |
electricity_access_electrification_rural_areas_text |
electricity_access_electrification_rural_areas_text | string | 0% | 1 | 65.6% |
electricity_access_electrification_rural_areas_numeric |
electricity_access_electrification_rural_areas_numeric | float | 0% | 1 | 65.6 |
electricity_installed_generating_capacity_text |
electricity_installed_generating_capacity_text | string | 0% | 1 | 3.824 million kW (2023 est.) |
electricity_installed_generating_capacity_numeric |
electricity_installed_generating_capacity_numeric | float | 0% | 1 | 3.824 |
electricity_consumption_text |
electricity_consumption_text | string | 0% | 1 | 10.002 billion kWh (2023 est.) |
electricity_consumption_numeric |
electricity_consumption_numeric | float | 0% | 1 | 10.002 |
electricity_exports_text |
electricity_exports_text | string | 0% | 1 | 34 million kWh (2023 est.) |
electricity_exports_numeric |
electricity_exports_numeric | float | 0% | 1 | 34.0 |
electricity_imports_text |
electricity_imports_text | string | 0% | 1 | 316 million kWh (2023 est.) |
electricity_imports_numeric |
electricity_imports_numeric | float | 0% | 1 | 316.0 |
electricity_transmission_distribution_losses_text |
electricity_transmission_distribution_losses_text | string | 0% | 1 | 3.069 billion kWh (2023 est.) |
electricity_transmission_distribution_losses_numeric |
electricity_transmission_distribution_losses_numeric | float | 0% | 1 | 3.069 |
electricity_generation_sources_fossil_fuels_text |
electricity_generation_sources_fossil_fuels_text | string | 0% | 1 | 10.2% of total installed capacity (2023 est.) |
electricity_generation_sources_fossil_fuels_numeric |
electricity_generation_sources_fossil_fuels_numeric | float | 0% | 1 | 10.2 |
electricity_generation_sources_solar_text |
electricity_generation_sources_solar_text | string | 0% | 1 | 4.5% of total installed capacity (2023 est.) |
electricity_generation_sources_solar_numeric |
electricity_generation_sources_solar_numeric | float | 0% | 1 | 4.5 |
electricity_generation_sources_wind_text |
electricity_generation_sources_wind_text | string | 0% | 1 | 15.7% of total installed capacity (2023 est.) |
electricity_generation_sources_wind_numeric |
electricity_generation_sources_wind_numeric | float | 0% | 1 | 15.7 |
electricity_generation_sources_hydroelectricity_text |
electricity_generation_sources_hydroelectricity_text | string | 0% | 1 | 20.9% of total installed capacity (2023 est.) |
electricity_generation_sources_hydroelectricity_numeric |
electricity_generation_sources_hydroelectricity_numeric | float | 0% | 1 | 20.9 |
electricity_generation_sources_geothermal_text |
electricity_generation_sources_geothermal_text | string | 0% | 1 | 47.2% of total installed capacity (2023 est.) |
electricity_generation_sources_geothermal_numeric |
electricity_generation_sources_geothermal_numeric | float | 0% | 1 | 47.2 |
electricity_generation_sources_biomass_and_waste_text |
electricity_generation_sources_biomass_and_waste_text | string | 0% | 1 | 1.6% of total installed capacity (2023 est.) |
electricity_generation_sources_biomass_and_waste_numeric |
electricity_generation_sources_biomass_and_waste_numeric | float | 0% | 1 | 1.6 |
coal_consumption_text |
coal_consumption_text | string | 0% | 1 | 1.453 million metric tons (2023 est.) |
coal_consumption_numeric |
coal_consumption_numeric | float | 0% | 1 | 1.453 |
coal_exports_text |
coal_exports_text | string | 0% | 1 | 30 metric tons (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 | 49.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 6.5 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 29.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.09 |
waste_and_recycling_municipal_solid_waste_generated_annually_numeric |
Municipal waste kg per capita | float | SEL | 0% | 1 | 5.595 |
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | water pollution from urban and industrial wastes and... |
international_environmental_agreements_party_to_text |
international_environmental_agreements_party_to_text | string | 0% | 1 | Biodiversity, Climate Change, Climate Change-Kyoto... |
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 | varies from tropical along coast to arid in interior |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 49.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.4 |
land_use_agricultural_land_permanent_pasture_text |
land_use_agricultural_land_permanent_pasture_text | string | 0% | 1 | permanent pasture: 36.7% (2023 est.) |
land_use_agricultural_land_permanent_pasture_numeric |
land_use_agricultural_land_permanent_pasture_numeric | float | 0% | 1 | 36.7 |
land_use_forest_text |
land_use_forest_text | string | 0% | 1 | 6.5% (2023 est.) |
land_use_other_text |
land_use_other_text | string | 0% | 1 | 44% (2023 est.) |
land_use_other_numeric |
land_use_other_numeric | float | 0% | 1 | 44.0 |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 29.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.09% annual rate of change (2020-25 est.) |
carbon_dioxide_emissions_total_emissions_text |
carbon_dioxide_emissions_total_emissions_text | string | 0% | 1 | 19.023 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_total_emissions_numeric |
carbon_dioxide_emissions_total_emissions_numeric | float | 0% | 1 | 19.023 |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_text | string | 0% | 1 | 3.316 million metric tonnes of CO2 (2023 est.) |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric |
carbon_dioxide_emissions_from_coal_and_metallurgical_coke_numeric | float | 0% | 1 | 3.316 |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text |
carbon_dioxide_emissions_from_petroleum_and_other_liquids_text | string | 0% | 1 | 15.707 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 | 15.707 |
particulate_matter_emissions_text |
particulate_matter_emissions_text | string | 0% | 1 | 12.7 micrograms per cubic meter (2019 est.) |
particulate_matter_emissions_numeric |
particulate_matter_emissions_numeric | float | 0% | 1 | 12.7 |
methane_emissions_energy_text |
methane_emissions_energy_text | string | 0% | 1 | 334.4 kt (2022-2024 est.) |
methane_emissions_energy_numeric |
methane_emissions_energy_numeric | float | 0% | 1 | 334.4 |
methane_emissions_agriculture_text |
methane_emissions_agriculture_text | string | 0% | 1 | 1,241 kt (2019-2021 est.) |
methane_emissions_agriculture_numeric |
methane_emissions_agriculture_numeric | float | 0% | 1 | 1241.0 |
methane_emissions_waste_text |
methane_emissions_waste_text | string | 0% | 1 | 127.1 kt (2019-2021 est.) |
methane_emissions_waste_numeric |
methane_emissions_waste_numeric | float | 0% | 1 | 127.1 |
| +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 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | Kenyan(s) |
nationality_adjective_text |
nationality_adjective_text | string | 0% | 1 | Kenyan |
ethnic_groups_text |
ethnic_groups_text | string | 0% | 1 | Kikuyu 17.1%, Luhya 14.3%, Kalenjin 13.4%, Luo 10.7%,... |
ethnic_groups_numeric |
ethnic_groups_numeric | float | 0% | 1 | 17.1 |
source_section |
source_section | string | 0% | 1 | People and Society:ethnic_groups |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
area_total_numeric |
Area sqkm | float | SEL | 0% | 1 | 580367.0 |
area_land_numeric |
Area land sqkm | float | SEL | 0% | 1 | 569140.0 |
area_water_numeric |
Area water sqkm | float | SEL | 0% | 1 | 11227.0 |
land_boundaries_total_numeric |
Land boundary km | float | SEL | 0% | 1 | 3457.0 |
coastline_numeric |
Coastline km | float | SEL | 0% | 1 | 536.0 |
elevation_highest_point_numeric |
Elevation max m | float | SEL | 0% | 1 | 5199.0 |
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 | 49.5 |
land_use_forest_numeric |
Forest area percent | float | SEL | 0% | 1 | 6.5 |
irrigated_land_numeric |
Irrigated land sqkm | float | SEL | 0% | 1 | 1030.0 |
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
location_text |
location_text | string | 0% | 1 | Eastern Africa, bordering the Indian Ocean, between... |
geographic_coordinates_text |
geographic_coordinates_text | string | 0% | 1 | 1 00 N, 38 00 E |
geographic_coordinates_numeric |
geographic_coordinates_numeric | float | 0% | 1 | 1.0 |
map_references_text |
map_references_text | string | 0% | 1 | Africa |
area_total_text |
area_total_text | string | 0% | 1 | 580,367 sq km |
area_land_text |
area_land_text | string | 0% | 1 | 569,140 sq km |
area_water_text |
area_water_text | string | 0% | 1 | 11,227 sq km |
area_comparative_text |
area_comparative_text | string | 0% | 1 | five times the size of Ohio; slightly more than twice... |
land_boundaries_total_text |
land_boundaries_total_text | string | 0% | 1 | 3,457 km |
land_boundaries_border_countries_text |
land_boundaries_border_countries_text | string | 0% | 1 | Ethiopia 867 km; Somalia 684 km; South Sudan 317 km;... |
land_boundaries_border_countries_numeric |
land_boundaries_border_countries_numeric | float | 0% | 1 | 867.0 |
coastline_text |
coastline_text | string | 0% | 1 | 536 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-m depth or to the depth of exploitation |
maritime_claims_continental_shelf_numeric |
maritime_claims_continental_shelf_numeric | float | 0% | 1 | 200.0 |
climate_text |
climate_text | string | 0% | 1 | varies from tropical along coast to arid in interior |
terrain_text |
terrain_text | string | 0% | 1 | low plains rise to central highlands bisected by Great... |
elevation_highest_point_text |
elevation_highest_point_text | string | 0% | 1 | Mount Kenya 5,199 m |
elevation_lowest_point_text |
elevation_lowest_point_text | string | 0% | 1 | Indian Ocean 0 m |
elevation_mean_elevation_text |
elevation_mean_elevation_text | string | 0% | 1 | 762 m |
elevation_mean_elevation_numeric |
elevation_mean_elevation_numeric | float | 0% | 1 | 762.0 |
natural_resources_text |
natural_resources_text | string | 0% | 1 | limestone, soda ash, salt, gemstones, fluorspar, zinc,... |
land_use_agricultural_land_text |
land_use_agricultural_land_text | string | 0% | 1 | 49.5% (2023 est.) |
land_use_agricultural_land_arable_land_text |
land_use_agricultural_land_arable_land_text | string | 0% | 1 | arable land: 11.4% (2023 est.) |
land_use_agricultural_land_arable_land_numeric |
land_use_agricultural_land_arable_land_numeric | float | 0% | 1 | 11.4 |
land_use_agricultural_land_permanent_crops_text |
land_use_agricultural_land_permanent_crops_text | string | 0% | 1 | permanent crops: 1.4% (2023 est.) |
land_use_agricultural_land_permanent_crops_numeric |
land_use_agricultural_land_permanent_crops_numeric | float | 0% | 1 | 1.4 |
| +19 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 | KEN |
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 Kenya |
country_name_conventional_short_form_text |
country_name_conventional_short_form_text | string | 0% | 1 | Kenya |
country_name_local_long_form_text |
country_name_local_long_form_text | string | 0% | 1 | Republic of Kenya (English)/ Jamhuri ya Kenya (Swahili) |
country_name_local_short_form_text |
country_name_local_short_form_text | string | 0% | 1 | Kenya |
country_name_former_text |
country_name_former_text | string | 0% | 1 | British East Africa |
country_name_etymology_text |
country_name_etymology_text | string | 0% | 1 | named for Mount Kenya; the mountain's name may derive... |
government_type_text |
government_type_text | string | 0% | 1 | presidential republic |
capital_name_text |
capital_name_text | string | 0% | 1 | Nairobi |
capital_geographic_coordinates_text |
capital_geographic_coordinates_text | string | 0% | 1 | 1 17 S, 36 49 E |
capital_geographic_coordinates_numeric |
capital_geographic_coordinates_numeric | float | 0% | 1 | 1.0 |
capital_time_difference_text |
capital_time_difference_text | string | 0% | 1 | UTC+3 (8 hours ahead of Washington, DC, during Standard Time) |
capital_time_difference_numeric |
capital_time_difference_numeric | float | 0% | 1 | 3.0 |
capital_etymology_text |
capital_etymology_text | string | 0% | 1 | the name derives from the Maasai expression meaning... |
administrative_divisions_text |
administrative_divisions_text | string | 0% | 1 | 47 counties; Baringo, Bomet, Bungoma, Busia,... |
administrative_divisions_numeric |
administrative_divisions_numeric | float | 0% | 1 | 47.0 |
legal_system_text |
legal_system_text | string | 0% | 1 | mixed system of English common law, Islamic law, and... |
constitution_history_text |
constitution_history_text | string | 0% | 1 | current constitution passed by referendum on 4 August 2010 |
constitution_history_numeric |
constitution_history_numeric | float | 0% | 1 | 4.0 |
constitution_amendment_process_text |
constitution_amendment_process_text | string | 0% | 1 | amendments can be proposed by either house of Parliament... |
constitution_amendment_process_numeric |
constitution_amendment_process_numeric | float | 0% | 1 | 20.0 |
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 Kenya |
citizenship_dual_citizenship_recognized_text |
citizenship_dual_citizenship_recognized_text | string | 0% | 1 | yes |
citizenship_residency_requirement_for_naturalization_text |
citizenship_residency_requirement_for_naturalization_text | string | 0% | 1 | 4 out of the previous 7 years |
citizenship_residency_requirement_for_naturalization_numeric |
citizenship_residency_requirement_for_naturalization_numeric | float | 0% | 1 | 4.0 |
suffrage_text |
suffrage_text | string | 0% | 1 | 18 years of age; universal |
suffrage_numeric |
suffrage_numeric | float | 0% | 1 | 18.0 |
executive_branch_chief_of_state_text |
executive_branch_chief_of_state_text | string | 0% | 1 | President William RUTO (since 13 September 2022) |
executive_branch_chief_of_state_numeric |
executive_branch_chief_of_state_numeric | float | 0% | 1 | 13.0 |
| +91 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 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
background_text |
background_text | string | 0% | 1 | Trade centers such as Mombasa have existed along the... |
background_numeric |
background_numeric | float | 0% | 1 | 2.0 |
source_section |
source_section | string | 0% | 1 | Introduction |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
languages_languages_text |
Languages (text) | string | 0% | 1 | English (official), Kiswahili (official), numerous... |
languages_major_language_sample_s_text |
languages_major_language_sample_s_text | string | 0% | 1 | The World Factbook, the indispensable source for basic... |
source_section |
source_section | string | 0% | 1 | People and Society:languages |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | 823,904 (2024 est.) |
refugees_and_internally_displaced_persons_refugees_numeric |
refugees_and_internally_displaced_persons_refugees_numeric | float | 0% | 1 | 823904.0 |
refugees_and_internally_displaced_persons_idps_text |
refugees_and_internally_displaced_persons_idps_text | string | 0% | 1 | 284,886 (2024 est.) |
refugees_and_internally_displaced_persons_idps_numeric |
refugees_and_internally_displaced_persons_idps_numeric | float | 0% | 1 | 284886.0 |
refugees_and_internally_displaced_persons_stateless_persons_text |
refugees_and_internally_displaced_persons_stateless_persons_text | string | 0% | 1 | 9,800 (2024 est.) |
refugees_and_internally_displaced_persons_stateless_persons_numeric |
refugees_and_internally_displaced_persons_stateless_persons_numeric | float | 0% | 1 | 9800.0 |
source_section |
source_section | string | 0% | 1 | Transnational Issues:migration |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | Kenya Defense Forces (KDF): Kenya Army, Kenya Navy,... |
military_and_security_forces_numeric |
military_and_security_forces_numeric | float | 0% | 1 | 2025.0 |
military_expenditures_military_expenditures_2024_text |
Military expenditures 2024 (text) | string | 0% | 1 | 1.1% of GDP (2024 est.) |
military_expenditures_military_expenditures_2024_numeric |
Military expenditures 2024 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2023_text |
Military expenditures 2023 (text) | string | 0% | 1 | 1.1% of GDP (2023 est.) |
military_expenditures_military_expenditures_2023_numeric |
Military expenditures 2023 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2022_text |
Military expenditures 2022 (text) | string | 0% | 1 | 1.1% of GDP (2022 est.) |
military_expenditures_military_expenditures_2022_numeric |
Military expenditures 2022 (numeric) | float | 0% | 1 | 1.1 |
military_expenditures_military_expenditures_2021_text |
Military expenditures 2021 (text) | string | 0% | 1 | 1.2% of GDP (2021 est.) |
military_expenditures_military_expenditures_2021_numeric |
Military expenditures 2021 (numeric) | float | 0% | 1 | 1.2 |
military_expenditures_military_expenditures_2020_text |
Military expenditures 2020 (text) | string | 0% | 1 | 1.2% of GDP (2020 est.) |
military_expenditures_military_expenditures_2020_numeric |
Military expenditures 2020 (numeric) | float | 0% | 1 | 1.2 |
military_and_security_service_personnel_strengths_text |
military_and_security_service_personnel_strengths_text | string | 0% | 1 | approximately 25,000 active Kenya Defense Forces (2025) |
military_and_security_service_personnel_strengths_numeric |
military_and_security_service_personnel_strengths_numeric | float | 0% | 1 | 25000.0 |
military_equipment_inventories_and_acquisitions_text |
military_equipment_inventories_and_acquisitions_text | string | 0% | 1 | the KDF's inventory is a mix of older,... |
military_equipment_inventories_and_acquisitions_numeric |
military_equipment_inventories_and_acquisitions_numeric | float | 0% | 1 | 2023.0 |
military_service_age_and_obligation_text |
military_service_age_and_obligation_text | string | 0% | 1 | 18-26 years of age for voluntary service for men and... |
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 | 400 Democratic Republic of the Congo (MONUSCO);... |
military_deployments_numeric |
military_deployments_numeric | float | 0% | 1 | 400.0 |
military_note_text |
military_note_text | string | 0% | 1 | the Kenya Defense Forces (KDF) are responsible for... |
military_note_numeric |
military_note_numeric | float | 0% | 1 | 2011.0 |
source_section |
source_section | string | 0% | 1 | Military and Security |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
population_total_numeric |
Population count | float | SEL | 0% | 1 | 55751717.0 |
population_male_numeric |
Population male | float | SEL | 0% | 1 | 27857519.0 |
population_female_numeric |
Population female | float | SEL | 0% | 1 | 27894198.0 |
age_structure_0_14_years_numeric |
Population 0 14 percent | float | SEL | 0% | 1 | 35.8 |
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 | 3.4 |
dependency_ratios_total_dependency_ratio_numeric |
Total dependency ratio | float | SEL | 0% | 1 | 64.0 |
dependency_ratios_youth_dependency_ratio_numeric |
Youth dependency ratio | float | SEL | 0% | 1 | 58.5 |
dependency_ratios_elderly_dependency_ratio_numeric |
Elderly dependency ratio | float | SEL | 0% | 1 | 5.5 |
median_age_total_numeric |
Median age | float | SEL | 0% | 1 | 21.5 |
population_growth_rate_numeric |
Population growth rate percent | float | SEL | 0% | 1 | 2.15 |
birth_rate_numeric |
Birth rate per 1000 | float | SEL | 0% | 1 | 25.93 |
death_rate_numeric |
Death rate per 1000 | float | SEL | 0% | 1 | 4.72 |
net_migration_rate_numeric |
Net migration per 1000 | float | SEL | 0% | 1 | 0.26 |
urbanization_urban_population_numeric |
Urban population percent | float | SEL | 0% | 1 | 29.5 |
urbanization_rate_of_urbanization_numeric |
Urban growth rate percent | float | SEL | 0% | 1 | 4.09 |
sex_ratio_at_birth_numeric |
Sex ratio at birth | float | SEL | 0% | 1 | 1.02 |
sex_ratio_total_population_numeric |
Sex ratio overall | float | SEL | 0% | 1 | 1.0 |
maternal_mortality_ratio_numeric |
Maternal mortality per 100k | float | SEL | 0% | 1 | 379.0 |
infant_mortality_rate_total_numeric |
Infant mortality per 1000 | float | SEL | 0% | 1 | 26.8 |
life_expectancy_at_birth_total_population_numeric |
Life expectancy | float | SEL | 0% | 1 | 70.4 |
total_fertility_rate_numeric |
Fertility rate | float | SEL | 0% | 1 | 3.09 |
gross_reproduction_rate_numeric |
Gross reproduction rate | float | SEL | 0% | 1 | 1.53 |
physician_density_numeric |
Physicians per 1000 | float | SEL | 0% | 1 | 0.29 |
hospital_bed_density_numeric |
Hospital beds per 1000 | float | SEL | 0% | 1 | 1.3 |
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | 55,751,717 (2025 est.) |
population_male_text |
population_male_text | string | 0% | 1 | 27,857,519 |
population_female_text |
population_female_text | string | 0% | 1 | 27,894,198 |
age_structure_0_14_years_text |
age_structure_0_14_years_text | string | 0% | 1 | 35.8% (male 10,464,384/female 10,366,997) |
age_structure_15_64_years_text |
age_structure_15_64_years_text | string | 0% | 1 | 60.9% (male 17,731,068/female 17,723,012) |
age_structure_65_years_and_over_text |
age_structure_65_years_and_over_text | string | 0% | 1 | 3.4% (2024 est.) (male 896,348/female 1,064,569) |
dependency_ratios_total_dependency_ratio_text |
dependency_ratios_total_dependency_ratio_text | string | 0% | 1 | 64 (2025 est.) |
dependency_ratios_youth_dependency_ratio_text |
dependency_ratios_youth_dependency_ratio_text | string | 0% | 1 | 58.5 (2025 est.) |
dependency_ratios_elderly_dependency_ratio_text |
dependency_ratios_elderly_dependency_ratio_text | string | 0% | 1 | 5.5 (2025 est.) |
dependency_ratios_potential_support_ratio_text |
dependency_ratios_potential_support_ratio_text | string | 0% | 1 | 18.2 (2025 est.) |
dependency_ratios_potential_support_ratio_numeric |
dependency_ratios_potential_support_ratio_numeric | float | 0% | 1 | 18.2 |
median_age_total_text |
median_age_total_text | string | 0% | 1 | 21.5 years (2025 est.) |
median_age_male_text |
median_age_male_text | string | 0% | 1 | 21.1 years |
median_age_male_numeric |
median_age_male_numeric | float | 0% | 1 | 21.1 |
median_age_female_text |
median_age_female_text | string | 0% | 1 | 21.4 years |
median_age_female_numeric |
median_age_female_numeric | float | 0% | 1 | 21.4 |
population_growth_rate_text |
population_growth_rate_text | string | 0% | 1 | 2.15% (2025 est.) |
birth_rate_text |
birth_rate_text | string | 0% | 1 | 25.93 births/1,000 population (2025 est.) |
death_rate_text |
death_rate_text | string | 0% | 1 | 4.72 deaths/1,000 population (2025 est.) |
net_migration_rate_text |
net_migration_rate_text | string | 0% | 1 | 0.26 migrant(s)/1,000 population (2025 est.) |
population_distribution_text |
population_distribution_text | string | 0% | 1 | population heavily concentrated in the west along the... |
urbanization_urban_population_text |
urbanization_urban_population_text | string | 0% | 1 | 29.5% of total population (2023) |
urbanization_rate_of_urbanization_text |
urbanization_rate_of_urbanization_text | string | 0% | 1 | 4.09% annual rate of change (2020-25 est.) |
major_urban_areas_population_text |
major_urban_areas_population_text | string | 0% | 1 | 5.325 million NAIROBI (capital), 1.440 million Mombassa (2023) |
major_urban_areas_population_numeric |
major_urban_areas_population_numeric | float | 0% | 1 | 5.325 |
sex_ratio_at_birth_text |
sex_ratio_at_birth_text | string | 0% | 1 | 1.02 male(s)/female |
sex_ratio_0_14_years_text |
sex_ratio_0_14_years_text | string | 0% | 1 | 1.01 male(s)/female |
sex_ratio_0_14_years_numeric |
sex_ratio_0_14_years_numeric | float | 0% | 1 | 1.01 |
sex_ratio_15_64_years_text |
sex_ratio_15_64_years_text | string | 0% | 1 | 1 male(s)/female |
sex_ratio_15_64_years_numeric |
sex_ratio_15_64_years_numeric | float | 0% | 1 | 1.0 |
| +82 more extension fields — download the CSV/Parquet to see them all. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
composition_religion_christian_pct_synth |
Christian | numeric | CCL | 0% | - | 85.5 |
composition_religion_muslim_pct_synth |
Muslim | numeric | CCL | 0% | - | 10.9 |
composition_religion_other_pct_synth |
other | numeric | CCL | 0% | - | 1.8 |
composition_ethnicity_primary_label_synth |
Kikuyu | string | CCL | 0% | - | Kikuyu |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
religions_text |
religions_text | string | 0% | 1 | Christian 85.5% (Protestant 33.4%, Catholic 20.6%,... |
religions_numeric |
religions_numeric | float | 0% | 1 | 85.5 |
source_section |
source_section | string | 0% | 1 | People and Society:religions |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.json |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
composition_religion_christian__protestant_pct_synth |
Protestant | numeric | 0% | - | 33.4 |
composition_religion_christian__catholic_pct_synth |
Catholic | numeric | 0% | - | 20.6 |
composition_religion_christian__evangelical_pct_synth |
Evangelical | numeric | 0% | - | 20.4 |
composition_religion_christian__african_instituted_churches_pct_synth |
African Instituted Churches | numeric | 0% | - | 7.0 |
composition_religion_christian__other_christian_pct_synth |
other Christian | numeric | 0% | - | 4.1 |
composition_religion_none_pct_synth |
none | numeric | 0% | - | 1.6 |
composition_religion_don_t_know_no_answer_pct_synth |
don't know/no answer | numeric | 0% | - | 0.2 |
composition_ethnicity_kikuyu_pct_synth |
Kikuyu | numeric | 0% | - | 17.1 |
composition_ethnicity_luhya_pct_synth |
Luhya | numeric | 0% | - | 14.3 |
composition_ethnicity_kalenjin_pct_synth |
Kalenjin | numeric | 0% | - | 13.4 |
composition_ethnicity_luo_pct_synth |
Luo | numeric | 0% | - | 10.7 |
composition_ethnicity_kamba_pct_synth |
Kamba | numeric | 0% | - | 9.8 |
composition_ethnicity_somali_pct_synth |
Somali | numeric | 0% | - | 5.8 |
composition_ethnicity_kisii_pct_synth |
Kisii | numeric | 0% | - | 5.7 |
composition_ethnicity_mijikenda_pct_synth |
Mijikenda | numeric | 0% | - | 5.2 |
composition_ethnicity_meru_pct_synth |
Meru | numeric | 0% | - | 4.2 |
composition_ethnicity_maasai_pct_synth |
Maasai | numeric | 0% | - | 2.5 |
composition_ethnicity_turkana_pct_synth |
Turkana | numeric | 0% | - | 2.1 |
composition_ethnicity_non_kenyan_pct_synth |
non-Kenyan | numeric | 0% | - | 1.0 |
composition_ethnicity_other_pct_synth |
other | numeric | 0% | - | 8.2 |
composition_ethnicity_primary_share_pct_synth |
Kikuyu | numeric | 0% | - | 17.1 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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 | Kenya Space Agency (KSA; established 2017) (2025) |
space_agency_agencies_numeric |
space_agency_agencies_numeric | float | 0% | 1 | 2017.0 |
space_launch_site_s_text |
space_launch_site_s_text | string | 0% | 1 | Luigi Broglio Space Center (aka Malindi Space Center,... |
space_launch_site_s_numeric |
space_launch_site_s_numeric | float | 0% | 1 | 20.0 |
space_program_overview_text |
space_program_overview_text | string | 0% | 1 | has a national space strategy focused on acquiring and... |
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 | 1970 - first satellite (US-made Uhura) launched from... |
key_space_program_milestones_numeric |
key_space_program_milestones_numeric | float | 0% | 1 | 1970.0 |
source_section |
source_section | string | 0% | 1 | Space |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
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-Shabaab |
source_section |
source_section | string | 0% | 1 | Terrorism |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.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 | 5Y |
airports_numeric |
Airports count | float | SEL | 0% | 1 | 368.0 |
country_code |
Country code | string | SEL | 0% | 1 | KEN |
country_name |
Country name | string | SEL | 0% | 1 | Kenya |
admin_level |
Admin level | string | SEL | 0% | 1 | national |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
civil_aircraft_registration_country_code_prefix_numeric |
civil_aircraft_registration_country_code_prefix_numeric | float | 0% | 1 | 5.0 |
airports_text |
airports_text | string | 0% | 1 | 368 (2025) |
railways_total_text |
railways_total_text | string | 0% | 1 | 3,819 km (2018) |
railways_total_numeric |
railways_total_numeric | float | 0% | 1 | 3819.0 |
railways_standard_gauge_text |
railways_standard_gauge_text | string | 0% | 1 | 485 km (2018) 1.435-m gauge |
railways_standard_gauge_numeric |
railways_standard_gauge_numeric | float | 0% | 1 | 485.0 |
railways_narrow_gauge_text |
railways_narrow_gauge_text | string | 0% | 1 | 3,334 km (2018) 1.000-m gauge |
railways_narrow_gauge_numeric |
railways_narrow_gauge_numeric | float | 0% | 1 | 3334.0 |
merchant_marine_total_text |
merchant_marine_total_text | string | 0% | 1 | 26 (2023) |
merchant_marine_total_numeric |
merchant_marine_total_numeric | float | 0% | 1 | 26.0 |
merchant_marine_by_type_text |
merchant_marine_by_type_text | string | 0% | 1 | oil tanker 4, other 22 |
merchant_marine_by_type_numeric |
merchant_marine_by_type_numeric | float | 0% | 1 | 4.0 |
ports_total_ports_text |
ports_total_ports_text | string | 0% | 1 | 4 (2024) |
ports_total_ports_numeric |
ports_total_ports_numeric | float | 0% | 1 | 4.0 |
ports_large_text |
ports_large_text | float | 0% | 1 | 0 |
ports_large_numeric |
ports_large_numeric | float | 0% | 1 | 0.0 |
ports_medium_text |
ports_medium_text | float | 0% | 1 | 1 |
ports_medium_numeric |
ports_medium_numeric | float | 0% | 1 | 1.0 |
ports_small_text |
ports_small_text | float | 0% | 1 | 2 |
ports_small_numeric |
ports_small_numeric | float | 0% | 1 | 2.0 |
ports_very_small_text |
ports_very_small_text | float | 0% | 1 | 1 |
ports_very_small_numeric |
ports_very_small_numeric | float | 0% | 1 | 1.0 |
ports_ports_with_oil_terminals_text |
Ports with oil terminals (text) | float | 0% | 1 | 1 |
ports_ports_with_oil_terminals_numeric |
Ports with oil terminals (numeric) | float | 0% | 1 | 1.0 |
ports_key_ports_text |
ports_key_ports_text | string | 0% | 1 | Kilifi, Lamu, Malindi, Mombasa |
source_section |
source_section | string | 0% | 1 | Transportation |
source_profile_path |
source_profile_path | string | 0% | 1 | africa/ke.json |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN, KEN, KEN, KEN, KEN |
ethnic_group_name |
Ethnic group name | string | CCL | 0% | 8 | Kikuyu-Meru-Emb, Kalenjin-Masai-Turkana-Samburu, Luhya,... |
ethnic_power_status |
Ethnic power status | string | CCL | 0% | 4 | SENIOR PARTNER, SENIOR PARTNER, POWERLESS, POWERLESS, POWERLESS |
ethnic_population_share |
Ethnic population share | float | CCL | 0% | 7 | 0.24, 0.19, 0.14, 0.11, 0.1 |
ethnic_group_id |
Ethnic group id | float | CCL | 0% | 8 | 50103000, 50101000, 50105000, 50106000, 50102000 |
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 | KEN, KEN, KEN, KEN, KEN |
gns_language_code |
gns_language_code | string | CCL | 0% | 5 | eng, rus, amh, som, swa |
gns_language_name |
gns_language_name | string | CCL | 0% | 5 | English, Russian, Amharic, Somali, Swahili (generic) |
gns_toponym_count |
gns_toponym_count | integer | CCL | 0% | 4 | 667, 29, 3, 2, 2 |
gns_toponym_share_pct |
gns_toponym_share_pct | float | CCL | 0% | 4 | 94.8791, 4.1252, 0.4267, 0.2845, 0.2845 |
gns_non_roman_toponym_count |
gns_non_roman_toponym_count | integer | CCL | 0% | 3 | 0, 3, 1, 0, 0 |
gns_dominant_script_code |
gns_dominant_script_code | string | CCL | 0% | 3 | , Cyrl, Ethi, , |
gns_dominant_script_name |
gns_dominant_script_name | string | CCL | 0% | 3 | , Cyrillic, Ethiopic (Ge'ez), , |
gns_script_count |
gns_script_count | integer | CCL | 0% | 3 | 0, 2, 1, 0, 0 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
country_code | string | SEL | 0% | 1 | KEN |
admin_level |
admin_level | integer | SEL | 0% | 1 | 0 |
gns_country_name |
gns_country_name | string | SEL | 0% | 1 | Kenya |
gns_language_count |
gns_language_count | integer | CCL | 0% | 1 | 5 |
gns_script_count |
gns_script_count | integer | CCL | 0% | 1 | 3 |
gns_endonym_share_pct |
gns_endonym_share_pct | float | CCL | 0% | 1 | 100.0 |
gns_non_roman_name_count |
gns_non_roman_name_count | integer | CCL | 0% | 1 | 4 |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
gns_name_count |
gns_name_count | integer | 0% | 1 | 42874 |
gns_feature_count |
gns_feature_count | integer | 0% | 1 | 30986 |
gns_endonym_count |
gns_endonym_count | integer | 0% | 1 | 42874 |
gns_exonym_count |
gns_exonym_count | integer | 0% | 1 | 0 |
gns_source_build_date |
gns_source_build_date | string | 0% | 1 | Wed, 05 Aug 2026 |
gns_source_change_date |
gns_source_change_date | string | 0% | 1 | 2026-08-05 |
gns_name_count_administrative_regions |
gns_name_count_administrative_regions | integer | 0% | 1 | 5088 |
gns_feature_count_administrative_regions |
gns_feature_count_administrative_regions | integer | 0% | 1 | 2377 |
gns_name_count_spot_features |
gns_name_count_spot_features | integer | 0% | 1 | 4828 |
gns_feature_count_spot_features |
gns_feature_count_spot_features | integer | 0% | 1 | 3922 |
gns_name_count_hydrographic |
gns_name_count_hydrographic | integer | 0% | 1 | 9105 |
gns_feature_count_hydrographic |
gns_feature_count_hydrographic | integer | 0% | 1 | 6335 |
gns_name_count_populated_places |
gns_name_count_populated_places | integer | 0% | 1 | 8356 |
gns_feature_count_populated_places |
gns_feature_count_populated_places | integer | 0% | 1 | 6799 |
gns_name_count_areas_localities |
gns_name_count_areas_localities | integer | 0% | 1 | 7223 |
gns_feature_count_areas_localities |
gns_feature_count_areas_localities | integer | 0% | 1 | 6109 |
gns_name_count_hypsographic |
gns_name_count_hypsographic | integer | 0% | 1 | 7635 |
gns_feature_count_hypsographic |
gns_feature_count_hypsographic | integer | 0% | 1 | 5013 |
gns_name_count_transportation_networks |
gns_name_count_transportation_networks | integer | 0% | 1 | 228 |
gns_feature_count_transportation_networks |
gns_feature_count_transportation_networks | integer | 0% | 1 | 187 |
gns_name_count_vegetation |
gns_name_count_vegetation | integer | 0% | 1 | 411 |
gns_feature_count_vegetation |
gns_feature_count_vegetation | integer | 0% | 1 | 244 |
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN |
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 | KEN |
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 | KEN |
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 | KEN |
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 | KEN |
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 | 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. | |||||
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | KEN |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
wave |
wave | integer | 0% | 1 | 7 |
wave_years |
wave_years | string | 0% | 1 | 2017-2022 |
source |
source | string | 0% | 1 | World Values Survey |
importance_religion |
importance_religion | integer | 0% | 1 | 1 |
importance_family |
importance_family | integer | 0% | 1 | 1 |
importance_friends |
importance_friends | integer | 0% | 1 | 1 |
trust_people |
trust_people | integer | 0% | 1 | 1 |
trust_family |
trust_family | integer | 0% | 1 | 1 |
life_satisfaction |
life_satisfaction | integer | 0% | 1 | 1 |
happiness |
happiness | integer | 0% | 1 | 1 |
freedom_choice |
freedom_choice | integer | 0% | 1 | 1 |
gender_jobs_scarce |
gender_jobs_scarce | integer | 0% | 1 | 1 |
gender_political_leaders |
gender_political_leaders | integer | 0% | 1 | 1 |
gender_university |
gender_university | integer | 0% | 1 | 1 |
justifiable_divorce |
justifiable_divorce | integer | 0% | 1 | 1 |
justifiable_homosexuality |
justifiable_homosexuality | integer | 0% | 1 | 1 |
immigration_policy |
immigration_policy | integer | 0% | 1 | 1 |
immigrants_jobs |
immigrants_jobs | integer | 0% | 1 | 1 |
immigrants_culture |
immigrants_culture | integer | 0% | 1 | 1 |
confidence_government |
confidence_government | integer | 0% | 1 | 1 |
confidence_parliament |
confidence_parliament | integer | 0% | 1 | 1 |
confidence_police |
confidence_police | integer | 0% | 1 | 1 |
confidence_courts |
confidence_courts | integer | 0% | 1 | 1 |
confidence_press |
confidence_press | integer | 0% | 1 | 1 |
democracy_importance |
democracy_importance | integer | 0% | 1 | 1 |
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 |
|---|---|---|---|
| English (eng) | 667 | 94.9% | — |
| Russian (rus) | 29 | 4.1% | Cyrillic |
| Amharic (amh) | 3 | 0.4% | Ethiopic (Ge'ez) |
| Somali (som) | 2 | 0.3% | — |
| Swahili (generic) (swa) | 2 | 0.3% | — |
30,986 distinct features ·
5 languages ·
3 scripts ·
4 names in non-Roman script
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.