Categories in Mafra
Industries
Business Distribution by Industry in Mafra
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 356 | 32 years |
| Clothing stores | 219 | 32 years |
| Restaurants | 178 | — |
| Car repair | 155 | 27 years |
| Corporate management | 117 | — |
| Grocery stores and supermarkets | 115 | 34 years |
| Education | 108 | — |
| Freight/commercial transport | 98 | — |
| Electronics stores | 96 | — |
| Real estate | 80 | — |
| Pharmacies and drug stores | 79 | 29 years |
| Wholesale of construction supplies | 77 | — |
| Lawyers legal | 77 | — |
| Beauty salons | 76 | — |
| Shopping other | 76 | — |
| Gas station | 71 | 31 years |
Mafra Facts
| Area | 52.6 km² |
| Population | 45,636 |
| Male Population | 22,233 (48.7%) |
| Female Population | 23,403 (51.3%) |
| Population change (1975 to 2020) | +68.5% |
| Population change (2000 to 2020) | +14.1% |
| Median Age | 30.9 years (Male: 29.8, Female: 31.9) |
| GDP per capita (PPP) | $22,872 (2022) |
| Neighborhoods | Centro I Baixada, Centro II Alto de Mafra, Centro, Vila Buenos Aires, Vila Nova |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -26.11139, -49.80528 |
| Postal Codes | 89300 |
Map of Mafra
Interactive Map
Mafra Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 27,088 | 35,827 | 39,990 | 43,108 | 45,636 | 47,290 | 49,249 |
| Population Density | 514.7 / km² | 680.8 / km² | 759.9 / km² | 819.2 / km² | 867.2 / km² | 898.6 / km² | 935.8 / km² |
Mafra Population change from 2000 to 2020
Increase of 14.1% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Mafra | +68.5% | +27.4% | +14.1% |
| Santa Catarina (state) | — | — | — |
| Brazil | — | — | — |
Mafra Median Age
Median Age: 30.9 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Mafra | 30.9 yrs | 31.9 yrs | 29.8 yrs |
| Santa Catarina (state) | 30.9 yrs | 31.7 yrs | 30.2 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Mafra Population Density
Population Density: 867 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Mafra | 45,636 | 52.6 km² | 867 / km² |
| Santa Catarina (state) | 6.9 million | 95,736.2 km² | 72.2 / km² |
| Brazil | 206.1 million | 8,479,487.1 km² | 24.3 / km² |
Mafra Historical and Projected Population
Estimated Population from 1880 to 2100
- 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.
Neighborhoods in Mafra
Percentage of businesses by neighborhood in Mafra
Price Distribution
Business distribution by price for Mafra
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Mafra Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $18,353 | $18,782 | $21,457 | $23,268 | $21,367 | $23,830 | $22,751 | $22,872 |
| Total GDP | $83.4M | $90.6M | $108.4M | $121.3M | $112.3M | $127.4M | $128.1M | $130.7M |
Mafra CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Mafra | 163,950 tn | 3.59 tn | 3,115.4 tons/km² |
| Santa Catarina (state) | 23,862,691 tn | 3.45 tn | 249.3 tons/km² |
| Brazil | 561,829,904 tn | 2.73 tn | 66.3 tons/km² |
| 2013 CO2 emissions (tonnes/year) | 163,950 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.59 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 3,115.4 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (9) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
- 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.
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.

