Businesses in Makuyu
Hotels & Travel
Restaurants
Automotive
Financial Services
Medical
Beauty & Spas
Community & Government
Industries
Business Distribution by Industry Education: 22.4%
Shopping: 13.7%
Automotive: 7.6%
Hotels & Travel: 7.6%
Religion: 7.6%
Restaurants: 7.2%
Sports & Activities: 6.1%
Food: 5.1%
Other: 22.7%
Area of Makuyu, Muranga County | 0.42 km² |
Population | 3,182 |
Male Population | 1,548 (48.6%) |
Female Population | 1,634 (51.4%) |
Population change from 1975 to 2015 | +4,319.4% |
Population change from 2000 to 2015 | -21.9% |
Median Age | 20.5 |
Male Median Age | 19.3 |
Female Median Age | 21.7 |
Area Codes | 67 |
Local Time | Wednesday 12:44 AM |
Timezone | East Africa Time |
Lat & Lng | -0.9° / 37.18333° |
Makuyu, Muranga County - Map
Makuyu, Muranga County Population
Years 1975 to 2015Data | 1975 | 1990 | 2000 | 2015 |
---|---|---|---|---|
Population | 72 | 1,195 | 4,076 | 3,182 |
Population Density | 171.6 / km² | 2,847 / km² | 9,713 / km² | 7,582 / km² |
Makuyu Population change from 2000 to 2015
Decrease of 21.9% from year 2000 to 2015Location | Change since 1975 | Change since 1990 | Change since 2000 |
---|---|---|---|
Makuyu, Muranga County | +4,319.4% | +166.3% | -21.9% |
Central | +112.6% | +41.8% | +20% |
Kenya | +241.7% | +96.8% | +48.4% |
Makuyu, Muranga County Median Age
Median Age: 20.5 yearsLocation | Median Age | Median Age (Female) | Median Age (Male) |
---|---|---|---|
Makuyu, Muranga County | 20.5 years | 21.7 years | 19.3 years |
Central | 22 years | 22.5 years | 21.4 years |
Kenya | 18 years | 18.4 years | 17.6 years |
Makuyu, Muranga County Population Tree
Population By Age and GenderAge | Male | Female | Total |
---|---|---|---|
Under 5 | 203 | 201 | 404 |
5-9 | 215 | 211 | 426 |
10-14 | 207 | 205 | 413 |
15-19 | 174 | 157 | 331 |
20-24 | 123 | 130 | 253 |
25-29 | 107 | 125 | 232 |
30-34 | 97 | 111 | 208 |
35-39 | 86 | 100 | 187 |
40-44 | 71 | 81 | 153 |
45-49 | 64 | 78 | 143 |
50-54 | 48 | 57 | 106 |
55-59 | 43 | 50 | 94 |
60-64 | 42 | 44 | 87 |
65-69 | 29 | 37 | 66 |
70-74 | 24 | 28 | 52 |
75-79 | 14 | 19 | 34 |
80-84 | 0 | 0 | 0 |
85 Plus | 0 | 0 | 0 |
Makuyu, Muranga County Population Density
Population Density: 7,582 / km²Location | Population | Area | Population Density |
---|---|---|---|
Makuyu, Muranga County | 3,182 | 0.42 km² | 7,582 / km² |
Central | 4.8 million | 13,164.4 km² | 362.7 / km² |
Kenya | 45.8 million | 582,723.1 km² | 78.6 / km² |
Makuyu, Muranga County Historical Population
Estimated Population from 1975 to 2015Sources:
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 Makuyu Area Code 20: 42.9%
Area Code 720: 7.1%
Area Code 725: 7.1%
Area Code 700: 7.1%
Area Code 722: 7.1%
Area Code 711: 7.1%
Area Code 733: 7.1%
Area Code 723: 7.1%
Area Code 728: 7.1%
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
Makuyu, Muranga County CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per YearLocation | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
---|---|---|---|
Makuyu, Muranga County | 2,575 t | 0.81 t | 6,137 t/km² |
Central | 3,818,620 t | 0.8 t | 290.1 t/km² |
Kenya | 27,341,523 t | 0.6 t | 46.9 t/km² |
Makuyu, Muranga County CO2 Emissions
2013 CO2 emissions (tonnes/year) | 2,575 t |
2013 CO2 emissions (tonnes/year) per capita | 0.81 t |
2013 CO2 emissions intensity (tonnes/km²/year) | 6,137 t/km² |
Natural Hazards Risk
Relative risk out of 10Drought | Medium (4) |
Flood | High (10) |
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, 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.
4. 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 |
---|---|---|---|---|---|---|
4/5/78 | 9:46 AM | 4.7 | 87 km | 25,000 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.