Categories in Mirandela
Alternative Fuel StationAuto Accessories and SuppliesAuto Machine ShopAuto Parts StoreCar & Light Vehicle DealershipsCar repairCar Repair and MaintenanceCar WashGas StationGeneral Auto Parts & AccessoriesMechanicNew car dealersTire ShopFarmingHandicraftOlive Oil ManufacturerOrganic FarmWholesale GrocerWholesalersBoutiqueChildren and baby clothingClothing storesFashion Accessories StoreMen's clothingShoe storesWomen's clothingMobile phone storesTelecommunications Service ProviderAssociation or OrganizationCatholic ChurchChapelChurchesCity or Town HallLocal Government OfficeNon-Profit OrganizationPost OfficeReligionShipping CompanySocial AssociationComputer Repair ServiceElectronics StorePhoto ShopAppliance StoreBuilding FirmBuilding Materials StoreCarpentryConstruction of buildingsElectricianGeneral contractorsHome Goods Store
Showing 1-50 of 138
Industries
Business Distribution by Industry in Mirandela
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 118 | 34 years |
| Restaurants | 111 | — |
| Cemeteries and crematoriums | 81 | — |
| Cafes | 68 | — |
| Car repair | 48 | 30 years |
| Clothing stores | 44 | 35 years |
| All membership organizations | 44 | — |
| All food and beverage | 42 | 31 years |
| Grocery stores and supermarkets | 42 | — |
| Churches | 41 | — |
| Public administration | 38 | — |
| Other accommodation | 32 | — |
| Education | 31 | — |
| Real estate | 30 | 25 years |
| Corporate management | 30 | 38 years |
| Beauty salons | 28 | — |
| Travel agencies | 28 | — |
| Shopping other | 28 | 29 years |
Mirandela Facts
| Area | 3.8 km² |
| Population | 7,264 |
| Male Population | 3,452 (47.5%) |
| Female Population | 3,812 (52.5%) |
| Population change (1975 to 2020) | -35.8% |
| Population change (2000 to 2020) | -31.0% |
| Median Age | 40.3 years (Male: 39.3, Female: 41.3) |
| GDP per capita (PPP) | $29,987 (2022) |
| Area Codes | 278 |
| Neighborhoods | Zona Industrial de Mirandela, Cachão, Golfeiras, São Pedro de Vale do Conde |
| Local Time | |
| Timezone | Western European Summer Time |
| Lat & Lng | 41.48739, -7.18695 |
| Postal Codes | 5370, 5374, 5385 |
Map of Mirandela
Interactive Map
Mirandela Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 11,309 | 11,002 | 10,526 | 9,246 | 7,264 | 6,755 | 6,278 |
| Population Density | 3,015.7 / km² | 2,933.9 / km² | 2,806.9 / km² | 2,465.6 / km² | 1,937.1 / km² | 1,801.3 / km² | 1,674.1 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridMirandela Population change from 2000 to 2020
Decrease of 31% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Mirandela | -35.8% | -34% | -31% |
| Bragança District | — | — | — |
| Portugal | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Mirandela Median Age
Median Age: 40.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Mirandela | 40.3 yrs | 41.3 yrs | 39.3 yrs |
| Bragança District | 50 yrs | 51.5 yrs | 48.4 yrs |
| Portugal | 42 yrs | 43.5 yrs | 40.4 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Mirandela Population Density
Population Density: 1,937 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Mirandela | 7,264 | 3.75 km² | 1,937 / km² |
| Bragança District | 128,952 | 6,596 km² | 19.6 / km² |
| Portugal | 10.3 million | 92,264.9 km² | 112 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Mirandela Historical and Projected Population
Estimated Population from 100 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.
Area Codes
Percentage Area Codes used by businesses in Mirandela
Price Distribution
Business distribution by price for Mirandela
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
Mirandela Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $19,424 | $21,718 | $28,020 | $30,742 | $28,709 | $26,908 | $28,601 | $29,987 |
| Total GDP | $487.8M | $521.6M | $664.9M | $731.3M | $648.5M | $556.8M | $552M | $558.8M |
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
Mirandela CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Mirandela | 42,789 tn | 5.89 tn | 11,410.5 tons/km² |
| Bragança District | 753,683 tn | 5.84 tn | 114.3 tons/km² |
| Portugal | 63,833,570 tn | 6.2 tn | 691.9 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
Mirandela CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 42,789 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 5.89 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 11,410.5 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| 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. 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 |
|---|---|---|---|---|---|---|
| 10/31/08 | 7:39 PM | 3.2 | 71.3 km | 10,700 m | Portugal | usgs.gov |
| 6/14/04 | 9:46 PM | 3.5 | 93.6 km | 0 m | Portugal | usgs.gov |
| 1/30/04 | 12:16 AM | 3.4 | 99.6 km | 5,700 m | Spain | usgs.gov |
| 11/23/03 | 10:34 AM | 3.3 | 22.5 km | 0 m | Portugal | usgs.gov |
| 9/21/03 | 12:15 AM | 3.1 | 97.5 km | 3,200 m | Portugal | usgs.gov |
| 7/27/03 | 8:51 PM | 3.2 | 98 km | 9,400 m | Portugal | usgs.gov |
| 7/27/03 | 8:46 PM | 3.7 | 98.8 km | 6,300 m | Portugal | usgs.gov |
| 1/23/03 | 10:13 AM | 4.5 | 98.8 km | 6,200 m | Portugal | usgs.gov |
| 1/22/03 | 9:10 PM | 3.1 | 94 km | 5,100 m | Portugal | usgs.gov |
| 1/17/03 | 3:32 PM | 3 | 99.3 km | 2,900 m | Portugal | 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.