Categories in Matola
Auto Machine ShopAuto Parts StoreCar Accessories StoreCar Detailing ServiceCar repairCar Repair and MaintenanceCar WashGas stationGas StationMechanicTire ShopTruck parts supplierAgricultural ProductionBeauty Product SupplierBottled Water SupplierBuilding Materials MarketBuilding Materials SupplierCash and Carry WholesalerCleaning Products SupplierCommercial PrinterConstruction Equipment SupplierConstruction Material WholesalerElectrical Equipment SupplierEquipment supplierFarmingFood Products SupplierFurniture MakerFurniture ManufacturerImport Export CompanyIndustrial Equipment SupplierMachine MaintenanceMachine ShopMeat WholesalerMetal WorkshopOffice Supply StorePharmaceutical CompanyPoultry FarmSafety Equipment SupplierScreen PrinterSecurity System SupplierShipyardWholesale GrocerWholesalersClothing storesDry CleanerFashion Accessories StoreLaundry ServiceMen's clothingShoe storesWomen's clothing
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Industries
Business Distribution by Industry in Matola
| Industry Description | Number of Establishments |
|---|---|
| Restaurants | 187 |
| Education | 158 |
| Shopping | 155 |
| Churches | 130 |
| Corporate management | 118 |
| Bars, pubs and taverns | 107 |
| Grocery stores and supermarkets | 81 |
Matola Facts
| Area | 331.6 km² |
| Population | 1,810,824 |
| Male Population | 873,306 (48.2%) |
| Female Population | 937,518 (51.8%) |
| Population change (1975 to 2020) | +835.4% |
| Population change (2000 to 2020) | +212.4% |
| Median Age | 19.7 years (Male: 19.2, Female: 20.2) |
| GDP per capita (PPP) | $3,007 (2022) |
| Area Codes | 21, 24 |
| Neighborhoods | Machava-Sede |
| Local Time | |
| Timezone | Central Africa Time |
| Lat & Lng | -25.96222, 32.45889 |
| Postal Codes | 1114 |
Map of Matola
Interactive Map
Matola Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 193,584 | 349,546 | 579,690 | 1,124,963 | 1,810,824 | 2,125,407 | 2,597,327 |
| Population Density | 583.9 / km² | 1,054.2 / km² | 1,748.4 / km² | 3,392.9 / km² | 5,461.5 / km² | 6,410.3 / km² | 7,833.6 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridMatola Population change from 2000 to 2020
Increase of 212.4% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Matola | +835.4% | +418.1% | +212.4% |
| Maputo Province | — | — | — |
| Mozambique | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Matola Median Age
Median Age: 19.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Matola | 19.7 yrs | 20.2 yrs | 19.2 yrs |
| Maputo Province | 19.5 yrs | 20.3 yrs | 18.7 yrs |
| Mozambique | 16.7 yrs | 17.5 yrs | 15.8 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Matola Population Density
Population Density: 5,462 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Matola | 1.8 million | 331.6 km² | 5,462 / km² |
| Maputo Province | 1.9 million | 23,274.9 km² | 80.5 / km² |
| Mozambique | 27.5 million | 786,431.3 km² | 34.9 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Matola Historical and Projected Population
Estimated Population from 1880 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.
Price Distribution
Business distribution by price for Matola
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
Matola Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $1,697 | $1,625 | $1,711 | $2,408 | $2,966 | $3,243 | $2,936 | $3,007 |
| Total GDP | $295.4M | $360.4M | $472M | $730.6M | $1B | $1.7B | $1.9B | $2.1B |
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
Matola CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Matola | 511,580 tn | 0.28 tn | 1,542.9 tons/km² |
| Maputo Province | 551,337 tn | 0.29 tn | 23.7 tons/km² |
| Mozambique | 5,734,289 tn | 0.21 tn | 7.3 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
Matola CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 511,580 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 0.28 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 1,542.9 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Medium (6.6) |
| Flood | High (8) |
* 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.
Matola
Matola is the largest suburb of the Mozambique capital, Maputo, and adjacent to it to the west. It is the nation's second most populated place. Matola is the capital of Maputo Province and has had its own elected municipal government since 1998. It h..
Matola Wikipedia Page
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.