Best of Kitale - Cybo

Industries

Business Distribution by Industry
 Shopping: 36%
 Restaurants: 7.7%
 Beauty & Spas: 7.1%
 Education: 6.7%
 Professional Services: 6%
 Industry: 5.1%
 Hotels & Travel: 5.1%
 Other: 26.4%
Industry DescriptionNumber of EstablishmentsAverage Google RatingBusinesses per 1,000 residents
Car parts274.30.2
Car repair413.90.3
Gas stations353.70.3
Beauty salons444.20.4
Hairdressers324.00.3
Public administration144.00.1
Higher education (colleges and universities)174.00.1
Primary and elementary schools353.70.3
Secondary education304.10.2
Atm's184.00.1
Banks584.20.5
Finance other1004.00.8
Loan companies1703.91.4
Butchers144.50.1
Grocery stores and supermarkets673.80.5
Internet cafes174.60.1
Electrical installation274.70.2
Buses and trains144.20.1
Hotels and motels403.60.3
Other accommodation563.60.5
Tractors and farm equipment154.10.1
Health and medical231.80.2
Hospitals174.20.1
Lawyers legal224.30.2
Churches354.10.3
Bars, pubs and taverns503.50.4
Cafes233.80.2
Clothing stores524.30.4
Electronics stores464.20.4
Hardware stores464.20.4
Mobile phone stores174.20.1
Pharmacies and drug stores324.80.3
Shoe stores183.00.1
Area of Kitale10 km²
Population123,314
Male Population62,747 (50.9%)
Female Population60,567 (49.1%)
Population change from 1975 to 2015 +584.1%
Population change from 2000 to 2015 +48.2%
Median Age16.9
Male Median Age16.7
Female Median Age17.1
Area Codes54
NeighborhoodsLaini-Moja, Lessos, Milimani, Police Staff Housing, Section six, Shauri Moyo
Local TimeFriday 3:28 PM
TimezoneEast Africa Time
Weather16.6°C light rain
Lat & Lng1.01572° / 35.00622°

Kitale - Map

Kitale Population

Years 1975 to 2015
Data1975199020002015
Population18,02662,29483,187123,314
Population Density1,806 / km²6,241 / km²8,334 / km²12,354 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kitale Population change from 2000 to 2015

Increase of 48.2% from year 2000 to 2015
LocationChange since 1975Change since 1990Change since 2000
Kitale+584.1%+98%+48.2%
Rift Valley+355.1%+128.7%+60.2%
Kenya+241.7%+96.8%+48.4%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kitale Median Age

Median Age: 16.9 years
LocationMedian AgeMedian Age (Female)Median Age (Male)
Kitale16.9 years17.1 years16.7 years
Rift Valley16.9 years17.2 years16.7 years
Kenya18 years18.4 years17.6 years
Sources: CIESIN (Center for International Earth Science Information Network)

Kitale Population Tree

Population By Age and Gender
AgeMaleFemaleTotal
Under 510,71510,09220,808
5-99,8569,31319,169
10-148,4008,07116,472
15-197,1766,82314,000
20-245,8086,43012,238
25-295,0354,98810,023
30-344,0493,7427,792
35-393,2202,9276,148
40-442,2302,1194,349
45-491,9271,8713,798
50-541,4151,3512,766
55-591,0279822,009
60-647776811,459
65-69470497968
70-74379390769
75-79265290555
80-84000
85 Plus000
Sources: CIESIN (Center for International Earth Science Information Network)

Kitale Population Density

Population Density: 12,354 / km²
LocationPopulationAreaPopulation Density
Kitale123,31410 km²12,354 / km²
Rift Valley12.2 million179,926.1 km²67.8 / km²
Kenya45.8 million582,723.1 km²78.6 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Kitale Historical and Projected Population

Estimated Population from 1910 to 2100
Sources:
1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
2. CIESIN (Center for International Earth Science Information Network)
3. [Link] Klein Goldewijk, K., Beusen, A., Doelman, J., and Stehfest, E.: Anthropogenic land use estimates for the Holocene – HYDE 3.2, Earth Syst. Sci. Data, 9, 927–953, https://doi.org/10.5194/essd-9-927-2017, 2017.

Area Codes

Percentage Area Codes used by businesses in Kitale
 Area Code 20: 12.9%
 Area Code 722: 11.7%
 Area Code 733: 7.4%
 Area Code 721: 6%
 Area Code 720: 5.7%
 Area Code 723: 5.5%
 Area Code 54: 5.1%
 Other: 45.9%

Business distribution by price for Kitale

 Moderate: 45%
 Inexpensive: 35%
 Expensive: 20%

Human Development Index (HDI)

Statistic composite index of life expectancy, education, and per capita income.
Sources: [Link] Kummu, M., Taka, M. & Guillaume, J. Gridded global datasets for Gross Domestic Product and Human Development Index over 1990–2015. Sci Data 5, 180004 (2018) doi:10.1038/sdata.2018.4

Kitale CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Kitale100,877 t0.82 t10,106 t/km²
Rift Valley7,426,385 t0.61 t41.3 t/km²
Kenya27,341,523 t0.6 t46.9 t/km²
Sources: [Link] Moran, D., Kanemoto K; Jiborn, M., Wood, R., Többen, J., and Seto, K.C. (2018) Carbon footprints of 13,000 cities. Environmental Research Letters DOI: 10.1088/1748-9326/aac72a

Kitale CO2 Emissions

2013 CO2 emissions (tonnes/year)100,877 t
2013 CO2 emissions (tonnes/year) per capita0.82 t
2013 CO2 emissions intensity (tonnes/km²/year)10,106 t/km²

Natural Hazards Risk

Relative risk out of 10
FloodHigh (7)
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
1. Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
2. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.

Recent Nearby Earthquakes

Magnitude 3.0 and greater
DateTimeMagnitudeDistanceDepthLocationLink
1/9/286:25 PM6.283.7 km10,000 mKenyausgs.gov

Kitale

Kitale is an agricultural town in northern rift valley Kenya situated between Mount Elgon and the Cherangani Hills at an elevation of around 1,900 metres (6,200 ft). Its population is 106,187 as of 2009. National Museum of Western Kenya is located a..  ︎  Kitale Wikipedia Page

About Our Data

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