Categories in Bumala
Auto Parts StoreCar WashGas StationClothing storesChurchesElectronics StoreHardware storeHousing DevelopmentEducationHigh SchoolPrimary SchoolButcherGrocery stores and supermarketsRestaurantsBanksMoney Transfer ServiceBarbersApartment BuildingHousing ComplexBook stores and newsstandsGeneral StorePharmacyShopping MallHotels and motelsHousing Society
Industries
Business Distribution by Industry in Bumala
| Industry Description | Number of Establishments |
|---|---|
| Education | 14 |
| Shopping | 13 |
| Clothing stores | 8 |
| Churches | 7 |
| Electronics stores | 7 |
| Hotels and motels | 6 |
| Hardware store | 5 |
| Shopping other | 5 |
| Gas station | 5 |
| Primary and elementary schools | 5 |
| Grocery stores and supermarkets | 5 |
| Restaurants | 5 |
Bumala Facts
| Area | 0.3 km² |
| Population | 4,493 |
| Male Population | 2,053 (45.7%) |
| Female Population | 2,440 (54.3%) |
| Population change (1975 to 2020) | +170.0% |
| Population change (2000 to 2020) | +46.3% |
| Median Age | 15.6 years (Male: 14.7, Female: 16.5) |
| Local Time | |
| Timezone | East Africa Time |
| Lat & Lng | 0.30360, 34.20142 |
Map of Bumala
Interactive Map
Bumala Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 1,664 | 2,496 | 3,072 | 4,001 | 4,493 |
| Population Density | 6,656 / km² | 9,984 / km² | 12,288 / km² | 16,004 / km² | 17,972 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Bumala Population change from 2000 to 2015
Increase of 30.2% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Bumala | +140.4% | +60.3% | +30.2% |
| Kenya | +241.7% | +96.8% | +48.4% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Bumala Median Age
Median Age: 15.6 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Bumala | 15.6 yrs | 16.5 yrs | 14.7 yrs |
| Kenya | 18 yrs | 18.4 yrs | 17.6 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Bumala Population Density
Population Density: 17,972 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Bumala | 4,493 | 0.25 km² | 17,972 / km² |
| Kenya | 45.8 million | 582,723.1 km² | 78.6 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Bumala Historical and Projected Population
Estimated Population from 700 to 2100
Sources:
- JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
- CIESIN (Center for International Earth Science Information Network)
- [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 Bumala
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Source: [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
Bumala CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Bumala | 3,867 tn | 0.86 tn | 15,466.6 tons/km² |
| Kenya | 27,341,523 tn | 0.6 tn | 46.9 tons/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
Bumala CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 3,867 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 0.86 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 15,466.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
| Earthquake | Medium (4) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Sources:
- 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.
- 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.
- 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 greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 12/27/10 | 10:10 PM | 4.5 | 97.6 km | 10,000 m | Lake Victoria region, Uganda | usgs.gov |
| 6/13/10 | 12:13 PM | 5 | 64.3 km | 10,000 m | Lake Victoria region, Kenya | usgs.gov |
Source: U.S. Geological Survey (USGS)
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.