Machinga Facts
| Area | 3422.4 km² |
| Population | 735,410 |
| Male Population | 354,317 (48.2%) |
| Female Population | 381,093 (51.8%) |
| Population change (1975 to 2020) | +290.3% |
| Population change (2000 to 2020) | +74.3% |
| Median Age | 16.1 years (Male: 15.6, Female: 16.5) |
| GDP per capita (PPP) | $1,051 (2022) |
| Local Time | |
| Timezone | Central Africa Time |
| Lat & Lng | -15.16849, 35.30002 |
Map of Machinga
Interactive Map
Machinga Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 188,444 | 350,704 | 421,908 | 644,910 | 735,410 | 837,909 | 947,944 |
| Population Density | 55.1 / km² | 102.5 / km² | 123.3 / km² | 188.4 / km² | 214.9 / km² | 244.8 / km² | 277 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridMachinga Population change from 2000 to 2020
Increase of 74.3% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Machinga | +290.3% | +109.7% | +74.3% |
| Malawi | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Machinga Median Age
Median Age: 16.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Machinga | 16.1 yrs | 16.5 yrs | 15.6 yrs |
| Malawi | 17.1 yrs | 17.4 yrs | 16.8 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Machinga Population Density
Population Density: 215 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Machinga | 735,410 | 3,422.4 km² | 215 / km² |
| Malawi | 17.4 million | 118,839 km² | 146 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Machinga Historical and Projected Population
Estimated Population from 1400 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
Machinga Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $702 | $753 | $802 | $786 | $975 | $1,046 | $1,083 | $1,051 |
| Total GDP | $241.5M | $276.9M | $329.1M | $373.1M | $513.6M | $643.3M | $754.1M | $774.7M |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
Machinga CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Machinga | 103,599 tn | 0.14 tn | 30.3 tons/km² |
| Malawi | 2,635,428 tn | 0.15 tn | 22.2 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
Machinga CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 103,599 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 0.14 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 30.3 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (5.6) |
| Flood | Medium (4) |
| 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, 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.
- 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 |
|---|---|---|---|---|---|---|
| 6/14/12 | 2:46 AM | 4.3 | 22.2 km | 10,000 m | Malawi | usgs.gov |
| 1/29/05 | 2:27 AM | 4 | 29.5 km | 23,200 m | Malawi | usgs.gov |
| 1/3/98 | 3:05 AM | 4.6 | 75.8 km | 33,000 m | Malawi | usgs.gov |
| 3/31/86 | 11:18 PM | 3.9 | 96.2 km | 10,000 m | Malawi | usgs.gov |
| 3/23/86 | 7:23 PM | 3.1 | 93.4 km | 10,000 m | Malawi | 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.
