Businesses in Kiminini
Industries
Business Distribution by Industry Education: 18.8%
Shopping: 15.2%
Food: 13.8%
Medical: 10.1%
Automotive: 7.2%
Restaurants: 7.2%
Religion: 6.5%
Hotels & Travel: 5.8%
Financial Services: 5.1%
Other: 10.1%
Area of Kiminini, Trans-Nzoia County | 1.126 km² |
Population | 74,048 |
Male Population | 35,920 (48.5%) |
Female Population | 38,128 (51.5%) |
Population change from 1975 to 2015 | +45,328.2% |
Population change from 2000 to 2015 | +45.7% |
Median Age | 16.9 |
Male Median Age | 16.7 |
Female Median Age | 17.1 |
Area Codes | 54 |
Local Time | Wednesday 5:40 PM |
Timezone | East Africa Time |
Lat & Lng | 0.89312° / 34.92409° |
Kiminini, Trans-Nzoia County - Map
Kiminini, Trans-Nzoia County Population
Years 1975 to 2015Data | 1975 | 1990 | 2000 | 2015 |
---|---|---|---|---|
Population | 163 | 35,981 | 50,836 | 74,048 |
Population Density | 144.8 / km² | 31,954 / km² | 45,147 / km² | 65,761 / km² |
Kiminini Population change from 2000 to 2015
Increase of 45.7% from year 2000 to 2015Location | Change since 1975 | Change since 1990 | Change since 2000 |
---|---|---|---|
Kiminini, Trans-Nzoia County | +45,328.2% | +105.8% | +45.7% |
Rift Valley | +355.1% | +128.7% | +60.2% |
Kenya | +241.7% | +96.8% | +48.4% |
Kiminini, Trans-Nzoia County Median Age
Median Age: 16.9 yearsLocation | Median Age | Median Age (Female) | Median Age (Male) |
---|---|---|---|
Kiminini, Trans-Nzoia County | 16.9 years | 17.1 years | 16.7 years |
Rift Valley | 16.9 years | 17.2 years | 16.7 years |
Kenya | 18 years | 18.4 years | 17.6 years |
Kiminini, Trans-Nzoia County Population Tree
Population By Age and GenderAge | Male | Female | Total |
---|---|---|---|
Under 5 | 6,124 | 6,343 | 12,468 |
5-9 | 5,634 | 5,852 | 11,487 |
10-14 | 4,805 | 5,078 | 9,884 |
15-19 | 4,108 | 4,300 | 8,408 |
20-24 | 3,329 | 4,055 | 7,384 |
25-29 | 2,889 | 3,147 | 6,036 |
30-34 | 2,322 | 2,360 | 4,683 |
35-39 | 1,848 | 1,846 | 3,695 |
40-44 | 1,279 | 1,334 | 2,614 |
45-49 | 1,105 | 1,178 | 2,284 |
50-54 | 810 | 849 | 1,659 |
55-59 | 587 | 618 | 1,206 |
60-64 | 444 | 428 | 873 |
65-69 | 268 | 312 | 581 |
70-74 | 216 | 245 | 462 |
75-79 | 151 | 182 | 334 |
80-84 | 0 | 0 | 0 |
85 Plus | 0 | 0 | 0 |
Kiminini, Trans-Nzoia County Population Density
Population Density: 65,761 / km²Location | Population | Area | Population Density |
---|---|---|---|
Kiminini, Trans-Nzoia County | 74,048 | 1.126 km² | 65,761 / km² |
Rift Valley | 12.2 million | 179,926.1 km² | 67.8 / km² |
Kenya | 45.8 million | 582,723.1 km² | 78.6 / km² |
Kiminini, Trans-Nzoia County Historical and Projected Population
Estimated Population from 1975 to 2100Sources:
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 Kiminini Area Code 20: 63.6%
Area Code 711: 13.6%
Area Code 712: 4.5%
Area Code 726: 4.5%
Area Code 703: 4.5%
Area Code 728: 4.5%
Area Code 717: 4.5%
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
Kiminini, Trans-Nzoia County CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per YearLocation | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
---|---|---|---|
Kiminini, Trans-Nzoia County | 48,945 t | 0.66 t | 43,468 t/km² |
Rift Valley | 7,426,385 t | 0.61 t | 41.3 t/km² |
Kenya | 27,341,523 t | 0.6 t | 46.9 t/km² |
Kiminini, Trans-Nzoia County CO2 Emissions
2013 CO2 emissions (tonnes/year) | 48,945 t |
2013 CO2 emissions (tonnes/year) per capita | 0.66 t |
2013 CO2 emissions intensity (tonnes/km²/year) | 43,468 t/km² |
Natural Hazards Risk
Relative risk out of 10Flood | High (7) |
Earthquake | Low (2) |
* 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.
3. Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greaterDate | Time | Magnitude | Distance | Depth | Location | Link |
---|---|---|---|---|---|---|
1/9/28 | 6:25 PM | 6.2 | 78.8 km | 10,000 m | Kenya | usgs.gov |
About Our Data
The data on this page is estimated using a number of publicly available tools and resources. It is provided without warranty, and could contain inaccuracies. Use at your own risk. See here for more information.