Businesses in Kibwezi
Industries
Business Distribution by Industry Financial Services: 22.3%
Shopping: 14%
Religion: 11.6%
Education: 10.3%
Restaurants: 7.9%
Hotels & Travel: 7%
Other: 26.9%
Area of Kibwezi, Makueni County | 0.652 km² |
Population | 10,746 |
Male Population | 5,284 (49.2%) |
Female Population | 5,462 (50.8%) |
Population change from 1975 to 2015 | +165.8% |
Population change from 2000 to 2015 | +17.4% |
Median Age | 17.1 |
Male Median Age | 16.5 |
Female Median Age | 17.7 |
Area Codes | 44 |
Local Time | Monday 10:52 AM |
Timezone | East Africa Time |
Lat & Lng | -2.41117° / 37.96521° |
Kibwezi, Makueni County - Map
Kibwezi, Makueni County Population
Years 1975 to 2015Data | 1975 | 1990 | 2000 | 2015 |
---|---|---|---|---|
Population | 4,043 | 8,039 | 9,153 | 10,746 |
Population Density | 6,205 / km² | 12,338 / km² | 14,048 / km² | 16,493 / km² |
Kibwezi Population change from 2000 to 2015
Increase of 17.4% from year 2000 to 2015Location | Change since 1975 | Change since 1990 | Change since 2000 |
---|---|---|---|
Kibwezi, Makueni County | +165.8% | +33.7% | +17.4% |
Eastern | +147.8% | +56.6% | +27.5% |
Kenya | +241.7% | +96.8% | +48.4% |
Kibwezi, Makueni County Median Age
Median Age: 17.1 yearsLocation | Median Age | Median Age (Female) | Median Age (Male) |
---|---|---|---|
Kibwezi, Makueni County | 17.1 years | 17.7 years | 16.5 years |
Eastern | 18.4 years | 19.1 years | 17.7 years |
Kenya | 18 years | 18.4 years | 17.6 years |
Kibwezi, Makueni County Population Tree
Population By Age and GenderAge | Male | Female | Total |
---|---|---|---|
Under 5 | 843 | 838 | 1,682 |
5-9 | 864 | 849 | 1,713 |
10-14 | 742 | 726 | 1,468 |
15-19 | 641 | 582 | 1,224 |
20-24 | 414 | 461 | 876 |
25-29 | 341 | 419 | 760 |
30-34 | 313 | 348 | 661 |
35-39 | 279 | 294 | 574 |
40-44 | 190 | 204 | 394 |
45-49 | 163 | 192 | 355 |
50-54 | 140 | 157 | 297 |
55-59 | 120 | 137 | 258 |
60-64 | 96 | 101 | 197 |
65-69 | 57 | 67 | 125 |
70-74 | 52 | 53 | 106 |
75-79 | 28 | 35 | 64 |
80-84 | 0 | 0 | 0 |
85 Plus | 0 | 0 | 0 |
Kibwezi, Makueni County Population Density
Population Density: 16,493 / km²Location | Population | Area | Population Density |
---|---|---|---|
Kibwezi, Makueni County | 10,746 | 0.652 km² | 16,493 / km² |
Eastern | 6.4 million | 157,100.3 km² | 40.6 / km² |
Kenya | 45.8 million | 582,723.1 km² | 78.6 / km² |
Kibwezi, Makueni County Historical and Projected Population
Estimated Population from 1820 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 Kibwezi Area Code 20: 36.7%
Area Code 734: 20%
Area Code 44: 10%
Area Code 723: 10%
Area Code 720: 3.3%
Area Code 725: 3.3%
Area Code 724: 3.3%
Area Code 700: 3.3%
Area Code 721: 3.3%
Area Code 733: 3.3%
Area Code 726: 3.3%
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
Kibwezi, Makueni County CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per YearLocation | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
---|---|---|---|
Kibwezi, Makueni County | 6,930 t | 0.64 t | 10,637 t/km² |
Eastern | 3,798,393 t | 0.6 t | 24.2 t/km² |
Kenya | 27,341,523 t | 0.6 t | 46.9 t/km² |
Kibwezi, Makueni County CO2 Emissions
2013 CO2 emissions (tonnes/year) | 6,930 t |
2013 CO2 emissions (tonnes/year) per capita | 0.64 t |
2013 CO2 emissions intensity (tonnes/km²/year) | 10,637 t/km² |
Natural Hazards Risk
Relative risk out of 10Drought | High (9) |
Flood | High (8) |
* 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, and International Research Institute for Climate and Society - IRI - Columbia University. 2005. Global Drought Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4VX0DFT.
3. 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 greaterAbout 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.