Businesses in Mumias
Industries
Business Distribution by Industry Financial Services: 21%
Shopping: 18.8%
Education: 10%
Food: 9.1%
Professional Services: 5.5%
Religion: 5.5%
Restaurants: 5.2%
Other: 24.9%
Area of Mumias, Kakamega County | 1.753 km² |
Population | 12,506 |
Male Population | 6,131 (49%) |
Female Population | 6,375 (51%) |
Population change from 1975 to 2015 | +302.9% |
Population change from 2000 to 2015 | +36.3% |
Median Age | 15.7 |
Male Median Age | 14.9 |
Female Median Age | 16.4 |
Area Codes | 56 |
Local Time | Monday 3:05 AM |
Timezone | East Africa Time |
Lat & Lng | 0.33511° / 34.4864° |
Mumias, Kakamega County - Map
Mumias, Kakamega County Population
Years 1975 to 2015Data | 1975 | 1990 | 2000 | 2015 |
---|---|---|---|---|
Population | 3,104 | 5,953 | 9,176 | 12,506 |
Population Density | 1,770 / km² | 3,395 / km² | 5,234 / km² | 7,133 / km² |
Mumias Population change from 2000 to 2015
Increase of 36.3% from year 2000 to 2015Location | Change since 1975 | Change since 1990 | Change since 2000 |
---|---|---|---|
Mumias, Kakamega County | +302.9% | +110.1% | +36.3% |
Western | +205% | +78.3% | +37.8% |
Kenya | +241.7% | +96.8% | +48.4% |
Mumias, Kakamega County Median Age
Median Age: 15.7 yearsLocation | Median Age | Median Age (Female) | Median Age (Male) |
---|---|---|---|
Mumias, Kakamega County | 15.7 years | 16.4 years | 14.9 years |
Western | 16.1 years | 16.8 years | 15.3 years |
Kenya | 18 years | 18.4 years | 17.6 years |
Mumias, Kakamega County Population Tree
Population By Age and GenderAge | Male | Female | Total |
---|---|---|---|
Under 5 | 1,193 | 1,165 | 2,359 |
5-9 | 1,015 | 993 | 2,009 |
10-14 | 867 | 832 | 1,700 |
15-19 | 691 | 690 | 1,382 |
20-24 | 522 | 637 | 1,159 |
25-29 | 414 | 462 | 876 |
30-34 | 331 | 364 | 696 |
35-39 | 257 | 275 | 532 |
40-44 | 199 | 229 | 428 |
45-49 | 182 | 199 | 382 |
50-54 | 139 | 155 | 295 |
55-59 | 109 | 119 | 228 |
60-64 | 80 | 90 | 170 |
65-69 | 53 | 64 | 117 |
70-74 | 46 | 53 | 99 |
75-79 | 34 | 45 | 80 |
80-84 | 0 | 0 | 0 |
85 Plus | 0 | 0 | 0 |
Mumias, Kakamega County Population Density
Population Density: 7,133 / km²Location | Population | Area | Population Density |
---|---|---|---|
Mumias, Kakamega County | 12,506 | 1.753 km² | 7,133 / km² |
Western | 4.9 million | 8,371.9 km² | 584.7 / km² |
Kenya | 45.8 million | 582,723.1 km² | 78.6 / km² |
Mumias, Kakamega County Historical and Projected Population
Estimated Population from 1700 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 Mumias Area Code 20: 27.1%
Area Code 722: 13.6%
Area Code 733: 13.6%
Area Code 724: 10.2%
Area Code 723: 6.8%
Area Code 704: 5.1%
Area Code 56: 5.1%
Area Code 711: 3.4%
Other: 15.3%
Business distribution by price for Mumias, Kakamega County
Moderate: 55.6%
Inexpensive: 33.3%
Expensive: 11.1%
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
Mumias, Kakamega County CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per YearLocation | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
---|---|---|---|
Mumias, Kakamega County | 10,110 t | 0.81 t | 5,767 t/km² |
Western | 3,603,505 t | 0.74 t | 430.4 t/km² |
Kenya | 27,341,523 t | 0.6 t | 46.9 t/km² |
Mumias, Kakamega County CO2 Emissions
2013 CO2 emissions (tonnes/year) | 10,110 t |
2013 CO2 emissions (tonnes/year) per capita | 0.81 t |
2013 CO2 emissions intensity (tonnes/km²/year) | 5,767 t/km² |
Natural Hazards Risk
Relative risk out of 10Flood | High (7) |
Earthquake | Medium (4) |
* 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 Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
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 greaterDate | Time | Magnitude | Distance | Depth | Location | Link |
---|---|---|---|---|---|---|
6/13/10 | 5:13 AM | 5 | 59.3 km | 10,000 m | Lake Victoria region, 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.