ⓘ Global Data Lab publishes its own subnational regions, which match national admin units in some countries and group several together in others. The level shown is the nearest administrative tier, not a claim that these are that tier.
| Field Name | Label | Type | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
country_code |
Country code | string | SEL | 0% | 1 | 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_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_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 | 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 | Schema | Nulls | Unique | Samples |
|---|---|---|---|---|---|---|
oc_anti_money_laundering |
oc_anti_money_laundering | numeric | CCL | 0% | 1 | - |
oc_arms_trafficking |
oc_arms_trafficking | numeric | CCL | 0% | 1 | - |
oc_criminal_actors |
oc_criminal_actors | numeric | CCL | 0% | 1 | - |
oc_criminal_markets |
oc_criminal_markets | numeric | CCL | 0% | 1 | - |
oc_criminality |
oc_criminality | numeric | CCL | 0% | 1 | - |
oc_cyber_dependent_crimes |
oc_cyber_dependent_crimes | numeric | CCL | 0% | 1 | - |
oc_financial_crimes |
oc_financial_crimes | numeric | CCL | 0% | 1 | - |
oc_human_smuggling |
oc_human_smuggling | numeric | CCL | 0% | 1 | - |
oc_human_trafficking |
oc_human_trafficking | numeric | CCL | 0% | 1 | - |
oc_judicial_system_and_detention |
oc_judicial_system_and_detention | numeric | CCL | 0% | 1 | - |
oc_law_enforcement |
oc_law_enforcement | numeric | CCL | 0% | 1 | - |
oc_political_leadership_and_governance |
oc_political_leadership_and_governance | numeric | CCL | 0% | 1 | - |
oc_resilience |
oc_resilience | numeric | CCL | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
oc_cannabis_trade |
oc_cannabis_trade | numeric | 0% | 1 | - |
oc_cocaine_trade |
oc_cocaine_trade | numeric | 0% | 1 | - |
oc_criminal_networks |
oc_criminal_networks | numeric | 0% | 1 | - |
oc_economic_regulatory_capacity |
oc_economic_regulatory_capacity | numeric | 0% | 1 | - |
oc_extortion_and_protection_racketeering |
oc_extortion_and_protection_racketeering | numeric | 0% | 1 | - |
oc_fauna_crimes |
oc_fauna_crimes | numeric | 0% | 1 | - |
oc_flora_crimes |
oc_flora_crimes | numeric | 0% | 1 | - |
oc_foreign_actors |
oc_foreign_actors | numeric | 0% | 1 | - |
oc_government_transparency_and_accountability |
oc_government_transparency_and_accountability | numeric | 0% | 1 | - |
oc_heroin_trade |
oc_heroin_trade | numeric | 0% | 1 | - |
oc_illicit_trade_in_excisable_goods |
oc_illicit_trade_in_excisable_goods | numeric | 0% | 1 | - |
oc_international_cooperation |
oc_international_cooperation | numeric | 0% | 1 | - |
oc_mafia_style_groups |
oc_mafia_style_groups | numeric | 0% | 1 | - |
oc_national_policies_and_laws |
oc_national_policies_and_laws | numeric | 0% | 1 | - |
oc_non_renewable_resource_crimes |
oc_non_renewable_resource_crimes | numeric | 0% | 1 | - |
oc_non_state_actors |
oc_non_state_actors | numeric | 0% | 1 | - |
oc_prevention |
oc_prevention | numeric | 0% | 1 | - |
oc_private_sector_actors |
oc_private_sector_actors | numeric | 0% | 1 | - |
oc_state_embedded_actors |
oc_state_embedded_actors | numeric | 0% | 1 | - |
oc_synthetic_drug_trade |
oc_synthetic_drug_trade | numeric | 0% | 1 | - |
oc_territorial_integrity |
oc_territorial_integrity | numeric | 0% | 1 | - |
oc_trade_in_counterfeit_goods |
oc_trade_in_counterfeit_goods | numeric | 0% | 1 | - |
| Field Name | Label | Type | Nulls | Unique | Samples |
|---|---|---|---|---|---|
iso3 |
iso3 | string | 0% | 1 | KEN |
source |
source | string | 0% | 1 | Global Organized Crime Index |
source_url |
source_url | string | 0% | 1 | https://ocindex.net/ |
year |
year | integer | 0% | 1 | 2025 |
license |
license | string | 0% | 1 | Creative Commons (GI-TOC / ENACT) |
oc_anti_money_laundering_rank |
oc_anti_money_laundering_rank | integer | 0% | 1 | 47 |
oc_anti_money_laundering_2023 |
oc_anti_money_laundering_2023 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2021 |
oc_anti_money_laundering_2021 | integer | 0% | 1 | 6 |
oc_anti_money_laundering_2019 |
oc_anti_money_laundering_2019 | float | 0% | 1 | 5.5 |
oc_arms_trafficking_rank |
oc_arms_trafficking_rank | integer | 0% | 1 | 37 |
oc_arms_trafficking_2023 |
oc_arms_trafficking_2023 | float | 0% | 1 | 7.5 |
oc_arms_trafficking_2021 |
oc_arms_trafficking_2021 | float | 0% | 1 | 7.5 |
oc_arms_trafficking_2019 |
oc_arms_trafficking_2019 | integer | 0% | 1 | 7 |
oc_cannabis_trade_rank |
oc_cannabis_trade_rank | integer | 0% | 1 | 30 |
oc_cannabis_trade_2023 |
oc_cannabis_trade_2023 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2021 |
oc_cannabis_trade_2021 | float | 0% | 1 | 6.5 |
oc_cannabis_trade_2019 |
oc_cannabis_trade_2019 | integer | 0% | 1 | 6 |
oc_cocaine_trade_rank |
oc_cocaine_trade_rank | integer | 0% | 1 | 47 |
oc_cocaine_trade_2023 |
oc_cocaine_trade_2023 | integer | 0% | 1 | 6 |
oc_cocaine_trade_2021 |
oc_cocaine_trade_2021 | integer | 0% | 1 | 6 |
oc_cocaine_trade_2019 |
oc_cocaine_trade_2019 | integer | 0% | 1 | 4 |
oc_criminal_actors_rank |
oc_criminal_actors_rank | integer | 0% | 1 | 24 |
oc_criminal_actors_2023 |
oc_criminal_actors_2023 | float | 0% | 1 | 7.1 |
oc_criminal_actors_2021 |
oc_criminal_actors_2021 | float | 0% | 1 | 7.25 |
oc_criminal_actors_2019 |
oc_criminal_actors_2019 | float | 0% | 1 | 6.63 |
oc_criminal_markets_rank |
oc_criminal_markets_rank | integer | 0% | 1 | 6 |
oc_criminal_markets_2023 |
oc_criminal_markets_2023 | float | 0% | 1 | 6.93 |
oc_criminal_markets_2021 |
oc_criminal_markets_2021 | float | 0% | 1 | 6.65 |
oc_criminal_markets_2019 |
oc_criminal_markets_2019 | float | 0% | 1 | 5.65 |
oc_criminal_networks_rank |
oc_criminal_networks_rank | integer | 0% | 1 | 7 |
| +103 more pending 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. Counts include variant and foreign-language renderings of the same place, so a language can rank high because outside sources record names in it rather than because it is spoken locally — and a widely spoken language can be almost absent where official naming is in another language.
| Language | Place names | Share | Script |
|---|---|---|---|
| English (eng) | 667 | 94.9% | — |
| Russian (rus) | 29 | 4.1% | Cyrillic +1 |
| 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.