Kenya

KEN USAID DHS Program KEN-DHS Health Surveys

279 rows · 2 tables · 2022 USAID DHS Program 0 1 2 3 6 SEL 3 CCL 10 ext ▶

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1 Admin 1 — 2 table(s)

KEN DHS - Ethnicity Indicators — 134 rows, 8 columns

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Field details — 8 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

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

KEN DHS - Health Indicators — 145 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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

Extension Fields (5) — supplemental data preserved outside core SEL/CCL schema

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

KEN World Bank Open Data KEN-WORLD_BANK Development Indicators

198 rows · 3 tables · 2024 World Bank Open Data 0 1 2 3 19 SEL 4 ext ▶

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0 Admin 0 — 3 table(s)

KEN World Bank - Development Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

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

KEN World Bank - Health Indicators — 66 rows, 14 columns

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Field details — 14 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

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

KEN World Bank - Migration Indicators — 66 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Pending (9) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	country_code	string	0%	1	KEN, KEN, KEN, KEN, KEN
`country_name`	country_name	string	0%	1	Kenya, Kenya, Kenya, Kenya, Kenya
`year`	year	integer	0%	66	1960, 1961, 1962, 1963, 1964
`intl_migrant_stock`	intl_migrant_stock	float	88%	8	298089.0, 618745.0, 707852.0, 773354.0, 954925.0
`intl_migrant_stock_pct`	intl_migrant_stock_pct	float	88%	6	1.3, 2.3, 2.3, 2.2, 2.3
`net_migration`	net_migration	float	0%	65	2134.0, 4296.0, 4521.0, 4246.0, 4788.0
`remittances_received_usd`	remittances_received_usd	float	17%	52	7260000.229, 7260000.229, 13859999.66, 12539999.96, 18479999.54
`remittances_received_pct_gdp`	remittances_received_pct_gdp	float	17%	55	0.452774466836473, 0.408234131338878, 0.657720151285062,...
`remittances_paid_usd`	remittances_paid_usd	float	27%	48	5719583.035, 17449199.68, 12807251.93, 22770250.32, 18460775.38

KEN UNHCR Refugee Data Finder KEN-UNHCR Migration

96 rows · 2 tables · 2025 UNHCR Refugee Data Finder 0 1 2 3 12 CCL 36 ext ▶

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0 Admin 0 — 2 table(s)

KEN UNHCR - Hosted Populations — 56 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

KEN UNHCR - Origin Populations — 40 rows, 24 columns

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Field details — 24 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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%	-	-

Extension Fields (18) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

KEN LandScan Global (ORNL) KEN-LANDSCAN Modeled Population

93 rows · 3 tables · 2024 LandScan Global (ORNL) 0 1 2 3 Locality 21 SEL 2 ext ▶

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0 Admin 0 — 1 table(s)

KEN LandScan - Population Admin0 (admin_0) — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

1 Admin 1 — 1 table(s)

KEN LandScan - Population Admin1 (admin_1) — 47 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Locality Locality — 1 table(s)

KEN LandScan - Cities (locality) — 45 rows, 9 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Extension Fields (2) — supplemental data preserved outside core SEL/CCL schema

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

KEN Glottolog Language Catalog KEN-GLOTTOLOG Language

84 rows · 1 table · 2024 Glottolog Language Catalog 0 1 2 3 12 CCL 4 ext ▶

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0 Admin 0 — 1 table(s)

KEN Glottolog - Languages — 84 rows, 16 columns

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Field details — 16 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

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%	-	-
`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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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
`country_codes`	Country codes	string	0%	14	['KE', 'UG'], ['BB', 'BF', 'BJ', 'BO', 'CA', 'CD', 'CF',...
`classification`	classification	string	0%	1	[], [], [], [], []

KEN HDX COD — Population Statistics (OCHA/UNFPA) KEN-COD_PS Census Derived Population

47 rows · 1 table · 2019 HDX COD — Population Statistics (OCHA/UNFPA) 0 1 2 3 5 SEL ▶

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1 Admin 1 — 1 table(s)

KEN COD PS - KEN Codps — 47 rows, 74 columns

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Field details — 74 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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

Pending (69) — awaiting mapping

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.

KEN D-PLACE KEN-DPLACE Ethnographic Societies

46 rows · 2 tables · 2024 D-PLACE 0 1 2 3 2 SEL 15 CCL 55 ext ▶

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0 Admin 0 — 2 table(s)

KEN D-PLACE - Dplace Ea Societies — 23 rows, 23 columns

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Field details — 23 fields (type, nulls, unique, samples)

Standards-Aligned Fields (12)

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%	12	EA017:4; EA018:4; EA019:3; EA020:3; EA021:9; EA022:9;...
`marriage_pattern`	Marriage pattern	string	CCL	0%	14	EA006:1; EA007:8; EA008:8; EA009:2; EA023:8; EA025:15,...
`subsistence_pattern`	Subsistence pattern	string	CCL	0%	19	EA001:0; EA002:1; EA003:0; EA004:3; EA005:6; EA028:NA;...
`political_complexity`	Political complexity	string	CCL	0%	9	EA032:NA; EA033:NA, EA032:3; EA033:4, EA032:2; EA033:2,...
`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	EA010:8; EA011:1; EA012:8; EA013:9; EA014:11, EA010:8;...
`settlement_pattern`	settlement_pattern	string	CCL	0%	11	EA030:NA; EA031:NA, EA030:7; EA031:NA, EA030:7;...

Extension Fields (11) — supplemental data preserved outside core SEL/CCL schema

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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024

KEN D-PLACE - Dplace Ea Societies Decoded — 23 rows, 49 columns

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Field details — 49 fields (type, nulls, unique, samples)

Standards-Aligned Fields (5)

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	, , , ,

Extension Fields (44) — supplemental data preserved outside core SEL/CCL schema

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
`source`	source	string	0%	1	D-PLACE: Database of Places, Language, Culture, and...
`source_url`	source_url	string	0%	1	https://d-place.org, https://d-place.org,...
`license`	license	string	0%	1	CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0, CC BY 4.0
`data_vintage`	data_vintage	integer	0%	1	2024, 2024, 2024, 2024, 2024
`jurisdictional_hierarchy_of_local_community`	jurisdictional_hierarchy_of_local_community	integer	4%	3	3, 2, 4, 3, 3
`jurisdictional_hierarchy_beyond_local_community`	jurisdictional_hierarchy_beyond_local_community	integer	4%	4	4, 2, 2, 1, 2
`religion_high_gods`	religion_high_gods	integer	52%	4	1, 2, 3, 1, 2
`trance_states`	trance_states	integer	44%	7	2, 5, 4, 8, 1
`settlement_patterns`	settlement_patterns	integer	4%	5	7, 7, 6, 5, 5
`mean_size_of_local_communities`	mean_size_of_local_communities	integer	65%	5	3, 4, 5, 4, 1
`marital_residence_first_years`	marital_residence_first_years	integer	0%	2	8, 8, 8, 8, 8
`residence_transfer_prevailing_pattern`	residence_transfer_prevailing_pattern	integer	0%	2	1, 1, 1, 1, 1
`marital_residence_prevailing_pattern`	marital_residence_prevailing_pattern	integer	0%	2	8, 8, 8, 8, 8
`residence_transfer_alternate`	residence_transfer_alternate	integer	0%	3	9, 9, 9, 9, 9
`marital_residence_alternate`	marital_residence_alternate	integer	0%	3	11, 11, 11, 11, 11
`largest_patrilineal_kin_group`	largest_patrilineal_kin_group	integer	0%	3	4, 5, 4, 4, 4
`largest_patrilineal_exogamous_group`	largest_patrilineal_exogamous_group	integer	0%	4	4, 5, 4, 4, 4
`largest_matrilineal_kin_group`	largest_matrilineal_kin_group	integer	0%	2	3, 1, 1, 1, 1
`largest_matrilineal_exogamous_group`	largest_matrilineal_exogamous_group	integer	0%	2	3, 1, 1, 1, 1
`cognatic_kin_groups`	cognatic_kin_groups	integer	0%	2	9, 9, 9, 9, 9
`secondary_cognatic_kin_group`	secondary_cognatic_kin_group	integer	0%	1	9, 9, 9, 9, 9
`kin_terms_for_cousins`	kin_terms_for_cousins	integer	35%	5	7, 4, 6, 6, 2
`descent_major_type`	descent_major_type	integer	0%	3	2, 1, 1, 1, 1
+14 more extension fields — download the CSV/Parquet to see them all.

KEN GHS Urban Centre Database (EU JRC) KEN-GHSL_UCDB Modeled Population

45 rows · 1 table · 2025 GHS Urban Centre Database (EU JRC) 0 1 2 3 Locality 3 SEL 7 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

Locality Locality — 1 table(s)

KEN GHS-UCDB - Cities (locality) — 45 rows, 10 columns

Loading data…

Field details — 10 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (7) — supplemental data preserved outside core SEL/CCL schema

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%	-	-

KEN Google Community Mobility (2020-2022) KEN-GOOGLE-MOBILITY Mobility

38 rows · 1 table · 2022 Google 0 1 2 3 3 SEL 8 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

1 Admin 1 — 1 table(s)

KEN Mobility by Region — 38 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

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

KEN OpenFactBook KEN-OPENFACTBOOK Country Profile

16 rows · 16 tables · 2024 OpenFactBook 0 1 2 3 96 SEL 4 CCL 623 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 16 table(s)

KEN OpenFactBook - Communications — 1 rows, 21 columns

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Field details — 22 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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_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

Extension Fields (15) — supplemental data preserved outside core SEL/CCL schema

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_country_code_text`	Internet country code text	string	0%	1	.ke
`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

KEN OpenFactBook - Economy — 1 rows, 152 columns

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Field details — 157 fields (type, nulls, unique, samples)

Standards-Aligned Fields (6)

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

Extension Fields (151) — supplemental data preserved outside core SEL/CCL schema

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.

KEN OpenFactBook - Energy — 1 rows, 43 columns

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Field details — 43 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

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

Extension Fields (39) — supplemental data preserved outside core SEL/CCL schema

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.

KEN OpenFactBook - Environment — 1 rows, 50 columns

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Field details — 53 fields (type, nulls, unique, samples)

Standards-Aligned Fields (8)

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

Extension Fields (45) — supplemental data preserved outside core SEL/CCL schema

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.

KEN OpenFactBook - Ethnic Groups — 1 rows, 8 columns

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Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (6) — supplemental data preserved outside core SEL/CCL schema

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

KEN OpenFactBook - Geography — 1 rows, 59 columns

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Field details — 62 fields (type, nulls, unique, samples)

Standards-Aligned Fields (13)

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

Extension Fields (49) — supplemental data preserved outside core SEL/CCL schema

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.

KEN OpenFactBook - Government — 1 rows, 93 columns

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Field details — 123 fields (type, nulls, unique, samples)

Standards-Aligned Fields (2)

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

Extension Fields (121) — supplemental data preserved outside core SEL/CCL schema

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.

KEN OpenFactBook - Introduction — 1 rows, 6 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

KEN OpenFactBook - Languages — 1 rows, 7 columns

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Field details — 7 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

KEN OpenFactBook - Migration — 1 rows, 11 columns

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Field details — 11 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (8) — supplemental data preserved outside core SEL/CCL schema

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

KEN OpenFactBook - Military And Security — 1 rows, 22 columns

Loading data…

Field details — 27 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (24) — supplemental data preserved outside core SEL/CCL schema

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

KEN OpenFactBook - People And Society — 1 rows, 127 columns

Loading data…

Field details — 140 fields (type, nulls, unique, samples)

Standards-Aligned Fields (28)

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

Extension Fields (112) — supplemental data preserved outside core SEL/CCL schema

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.

KEN OpenFactBook - Religions — 1 rows, 6 columns

Loading data…

Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Extension Fields (4) — supplemental data preserved outside core SEL/CCL schema

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

Pending (21) — awaiting mapping

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

KEN OpenFactBook - Space — 1 rows, 9 columns

Loading data…

Field details — 13 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (10) — supplemental data preserved outside core SEL/CCL schema

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

KEN OpenFactBook - Terrorism — 1 rows, 6 columns

Loading data…

Field details — 6 fields (type, nulls, unique, samples)

Standards-Aligned Fields (3)

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

Extension Fields (3) — supplemental data preserved outside core SEL/CCL schema

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

KEN OpenFactBook - Transportation — 1 rows, 29 columns

Loading data…

Field details — 32 fields (type, nulls, unique, samples)

Standards-Aligned Fields (4)

Field Name	Label	Type	Schema	Nulls	Unique	Samples
`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

Extension Fields (28) — supplemental data preserved outside core SEL/CCL schema

Field Name	Label	Type	Nulls	Unique	Samples
`civil_aircraft_registration_country_code_prefix_text`	Civil aircraft registration country code prefix text	string	0%	1	5Y
`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

KEN NGA GEOnet Names Server (GNS) KEN-NGA_GNS Language

6 rows · 2 tables · 2026 NGA GEOnet Names Server (GNS) 0 1 2 3 4 SEL 12 CCL 22 ext ▶

or use the per-admin-level buttons below. Free downloads return a 10-row sample. Contact us for the full pack.

0 Admin 0 — 2 table(s)

KEN NGA GNS - Language — 5 rows, 9 columns

Loading data…

Field details — 9 fields (type, nulls, unique, samples)

Standards-Aligned Fields (9)

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

KEN NGA GNS - Summary — 1 rows, 29 columns

Loading data…

Field details — 29 fields (type, nulls, unique, samples)

Standards-Aligned Fields (7)

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

Extension Fields (22) — supplemental data preserved outside core SEL/CCL schema

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

KEN INFORM Risk Index (EC-JRC) KEN-INFORM Risk Index

1 row · 1 table · 2026 INFORM Risk Index (EC-JRC) 0 1 2 3 ▶

1 rows × 293 columns ingested. Field-level inventory in progress — contact us for the full export.

0 Admin 0 — 1 table(s)

KEN Inform - Risk Index — 1 rows, 293 columns

Loading data…

Field details — 293 fields (type, nulls, unique, samples)

Pending (293) — awaiting mapping

Field Name	Label	Type	Nulls	Unique	Samples
`country_code`	Country code (ISO 3166-1 alpha-3)	string	0%	1	KEN
`inform_aff_dr`	People affected by drought (absolute) - raw	float	0%	1	1725714.28571429
`inform_aff_dr_freq`	Frequency of Droughts events	float	0%	1	0.4
`inform_aff_dr_rel`	People affected by droughts (relative) - raw	float	0%	1	3.01046052794058
`inform_ag_lnd_totl_k2`	Land area (sq. km)	float	0%	1	569140.0
`inform_asi`	Agriculture Stress Index Probability	float	0%	1	0.1
`inform_bx_trf_pwkr_dt_gd_zs_inst`	Remittences Instability	float	0%	1	0.0835312281962818
`inform_bx_trf_pwkr_dt_gd_zs_inst_norm`	ODA % GNI Normalized [BX.TRF.PWKR.DT.GD.ZS.INST.NORM]	float	0%	1	4.7
`inform_bx_trf_pwkr`	Personal remittances, received (% of GDP)	float	0%	1	4.1527681350708
`inform_lack_of_coping_capacity`	Lack of Coping Capacity Index	float	0%	1	5.1
`inform_infrastructure_capacity`	Infrastructure	float	0%	1	5.7
`inform_cc_inf_ahc`	Access to Health Care	float	0%	1	5.6
`inform_cc_inf_ahc_health_exp`	Health expenditure per capita [CC.INF.AHC.HEALTH-EXP]	float	0%	1	9.2
`inform_cc_inf_ahc_imm`	Immunization coverage	float	0%	1	2.3
`inform_cc_inf_ahc_imm_dtp3`	Diphtheria-Tetanus-Pertussis	float	0%	1	1.4
`inform_cc_inf_ahc_imm_mcv2`	Measles	float	0%	1	3.9
`inform_cc_inf_ahc_imm_pcv3`	Pneumococcal	float	0%	1	1.7
`inform_cc_inf_ahc_mmr`	Maternal Mortality Ratio [CC.INF.AHC.MMR]	float	0%	1	1.7
`inform_cc_inf_ahc_phys`	Physicians density [CC.INF.AHC.PHYS]	float	0%	1	9.3
`inform_cc_inf_com`	Communication	float	0%	1	4.0
`inform_cc_inf_com_cel`	Mobile cellular subscriptions [CC.INF.COM.CEL]	float	0%	1	3.8
`inform_cc_inf_com_elaccs`	Access to electricity [CC.INF.COM.ELACCS]	float	0%	1	2.3
`inform_cc_inf_com_litr`	Adult literacy rate	float	0%	1	3.4
`inform_cc_inf_com_netus`	Internet users [CC.INF.COM.NETUS]	float	0%	1	6.5
`inform_cc_inf_phy`	Physical Infrastructure	float	0%	1	7.5
`inform_cc_inf_phy_h2o`	Access to improved water source	float	0%	1	6.9
`inform_cc_inf_phy_rod`	Road density [CC.INF.PHY.ROD]	float	0%	1	9.0
`inform_cc_inf_phy_sta`	Access to improved sanitation facilities	float	0%	1	6.6
`inform_institutional_capacity`	Institutional	float	0%	1	4.5
`inform_cc_ins_drr`	Disaster Risk Reduction	float	0%	1	2.8
+263 more pending fields — download the CSV/Parquet to see them all.

HERA · Human Entity Reference Atlas by Masego Inc

Build a download

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%	—

Source	Type	Access
HDX COD — Population Statistics (OCHA/UNFPA)	international_organization	bulk_download
Google	commercial	bulk_download
World Bank Open Data	international_organization	api
D-PLACE (Database of Places, Language, Culture & Environment)	academic	bulk_download
Glottolog Language Catalog	academic	bulk_download
INFORM Risk Index (EC-JRC)	international_organization	api
UNHCR Refugee Data Finder (UN High Commissioner for Refugees)	international_organization	api
USAID DHS Program (US Agency for International Development · Demographic and Health Surveys)	international_organization	api
NGA GEOnet Names Server (GNS)	official_government	bulk_download
GHS Urban Centre Database (Global Human Settlement · EU Joint Research Centre)	international_organization	bulk_download
LandScan Global (ORNL — Oak Ridge National Laboratory)	research_institution	earth_engine
OpenFactBook	community_compilation	bulk_download