Manyoni District Facts
| Area | 23675.3 km² |
| Population | 388,927 |
| Male Population | 191,685 (49.3%) |
| Female Population | 197,242 (50.7%) |
| Population change (1975 to 2020) | +506.1% |
| Population change (2000 to 2020) | +99.4% |
| Median Age | 16.2 years (Male: 15.6, Female: 16.8) |
| Local Time | |
| Timezone | East Africa Time |
| Lat & Lng | -5.75000, 34.83333 |
Map of Manyoni District
Interactive Map
Manyoni District Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 64,167 | 128,787 | 195,090 | 353,403 | 388,927 |
| Population Density | 2.7 / km² | 5.4 / km² | 8.2 / km² | 14.9 / km² | 16.4 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Manyoni District Population change from 2000 to 2015
Increase of 81.1% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Manyoni District | +450.8% | +174.4% | +81.1% |
| Singida Region | +210.4% | +95.5% | +49% |
| Tanzania | +234.9% | +110.2% | +57.4% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Manyoni District Median Age
Median Age: 16.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Manyoni District | 16.2 yrs | 16.8 yrs | 15.6 yrs |
| Singida Region | 16.3 yrs | 17 yrs | 15.6 yrs |
| Tanzania | 17.7 yrs | 18.2 yrs | 17.1 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Manyoni District Population Density
Population Density: 16.4 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Manyoni District | 388,927 | 23,675.3 km² | 16.4 / km² |
| Singida Region | 1.6 million | 48,556.7 km² | 33 / km² |
| Tanzania | 53.2 million | 940,193.6 km² | 56.6 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Manyoni District Historical and Projected Population
Estimated Population from 1000 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.
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
Manyoni District CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Manyoni District | 92,084 tn | 0.24 tn | 3.9 tons/km² |
| Singida Region | 379,765 tn | 0.24 tn | 7.8 tons/km² |
| Tanzania | 13,721,720 tn | 0.26 tn | 14.6 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
Manyoni District CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 92,084 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 0.24 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 3.9 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (4.8) |
| Flood | Medium (7) |
* 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, 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.
- 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 greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 3/11/15 | 12:11 AM | 4.3 | 98.4 km | 14,930 m | 26km SSW of Sepuka, Tanzania | usgs.gov |
| 7/29/14 | 1:57 PM | 4.4 | 84.7 km | 10,000 m | 52km NE of Kintinku, Tanzania | usgs.gov |
| 7/27/13 | 5:21 AM | 4.5 | 94.7 km | 10,000 m | 64km SSW of Kondoa, Tanzania | usgs.gov |
| 3/4/13 | 6:55 PM | 4.3 | 90.5 km | 10,000 m | 44km ENE of Kintinku, Tanzania | usgs.gov |
| 10/31/12 | 3:15 PM | 4.6 | 43.2 km | 10,000 m | Tanzania | usgs.gov |
| 9/26/12 | 1:18 PM | 4.5 | 93 km | 10,000 m | Tanzania | usgs.gov |
| 1/19/11 | 6:55 PM | 4.1 | 95.4 km | 10,000 m | Tanzania | usgs.gov |
| 12/24/06 | 7:34 PM | 4.3 | 52.1 km | 10,000 m | Tanzania | usgs.gov |
| 8/10/04 | 3:06 AM | 4.5 | 61.6 km | 10,000 m | Tanzania | usgs.gov |
| 12/7/03 | 12:11 AM | 4.9 | 75.2 km | 10,000 m | Tanzania | usgs.gov |
Source: U.S. Geological Survey (USGS)
Manyoni District
Manyoni is one of the 4 districts in the Singida Region of Tanzania. The district capital is Manyoni. The district is bordered to the North by the Singida Rural and Singida Urban Districts, to the East by the Dodoma Region, to the South by the Iringa..
Manyoni District Wikipedia PageAbout 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.