Categories in Belas
Auto Machine ShopAuto Parts StoreCar & Light Vehicle DealershipsCar repairCar Repair and MaintenanceCar WashElectric Motor Repair ShopGas StationGeneral Auto Parts & AccessoriesMechanicNew car dealersClothes and Fabric WholesalerCommercial PrinterElectronics WholesalerFurniture MakerFurniture ManufacturerImport Export CompanyWholesale GrocerClothing storesLaundromatLaundry ServiceShoe storesAssociation or OrganizationCatholic ChurchChurchesNon-Profit OrganizationPost OfficeShipping CompanyShipping ServiceSocial AssociationAir Conditioning ContractorBuilding FirmBuilding Materials StoreCarpenterCarpentryConstruction of buildingsConstruction of housesElectricianGeneral contractorsHome Goods StoreHousing DevelopmentResidential BuildingEducationKindergartenMiddle SchoolStudying CenterCultural landmarkEvent managementGraphic DesignerTourist Attraction
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Industries
Business Distribution by Industry in Belas
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Restaurants | 67 | 30 years |
| Shopping | 55 | 27 years |
| Car repair | 48 | 30 years |
| Cafes | 39 | — |
| Beauty salons | 34 | — |
| Corporate management | 34 | 30 years |
| Grocery stores and supermarkets | 31 | — |
| Education | 28 | — |
| Construction of buildings | 25 | — |
| Shopping other | 20 | 29 years |
| Clothing stores | 19 | — |
Belas Facts
| Area | 0.7 km² |
| Population | 5,476 |
| Male Population | 2,579 (47.1%) |
| Female Population | 2,897 (52.9%) |
| Population change (1975 to 2020) | +36.9% |
| Population change (2000 to 2020) | +9.0% |
| Median Age | 37 years (Male: 36.2, Female: 37.8) |
| Neighborhoods | Serra da Silveira, Serra de Casal de Cambra, Santa Maria de Belém, Aruil, Casal da Carregueira |
| Local Time | |
| Timezone | Western European Summer Time |
| Lat & Lng | 38.77721, -9.26078 |
| Postal Codes | 2605, 2609 |
Map of Belas
Interactive Map
Belas Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 4,001 | 4,656 | 5,025 | 5,293 | 5,476 |
| Population Density | 5,819.6 / km² | 6,772.4 / km² | 7,309.1 / km² | 7,698.9 / km² | 7,965.1 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Belas Population change from 2000 to 2015
Increase of 5.3% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Belas | +32.3% | +13.7% | +5.3% |
| Lisbon District | +26.2% | +12.4% | +5.2% |
| Portugal | +12.6% | +4.6% | +0.7% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Belas Median Age
Median Age: 37 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Belas | 37 yrs | 37.8 yrs | 36.2 yrs |
| Lisbon District | 41 yrs | 42.7 yrs | 39.3 yrs |
| Portugal | 42 yrs | 43.5 yrs | 40.4 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Belas Population Density
Population Density: 7,965 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Belas | 5,476 | 0.688 km² | 7,965 / km² |
| Lisbon District | 2.2 million | 2,799.7 km² | 796 / 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
Belas Historical and Projected Population
Estimated Population from 1300 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.
Neighborhoods in Belas
Percentage of businesses by neighborhood in Belas
Area Codes
Percentage Area Codes used by businesses in Belas
Postal Codes
Percentage of businesses by Postal Codes in Belas
Price Distribution
Business distribution by price for Belas
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
Belas CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Belas | 43,466 tn | 7.94 tn | 63,223.6 tons/km² |
| Lisbon District | 15,283,291 tn | 6.86 tn | 5,458.9 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
Belas CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 43,466 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 7.94 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 63,223.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | High (8) |
| 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 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 |
|---|---|---|---|---|---|---|
| 8/17/17 | 6:44 AM | 4.2 | 32.3 km | 10,000 m | 5km N of Arruda dos Vinhos, Portugal | usgs.gov |
| 2/1/17 | 11:22 PM | 3.6 | 96.7 km | 10,860 m | 4km WSW of Porto de Mos, Portugal | usgs.gov |
| 7/18/15 | 11:26 PM | 3.2 | 13.9 km | 18,000 m | 2km ESE of Colares, Portugal | usgs.gov |
| 8/29/08 | 6:26 PM | 3 | 98.6 km | 10,600 m | Portugal | usgs.gov |
| 12/27/07 | 12:19 PM | 3 | 95 km | 10,000 m | North Atlantic Ocean | usgs.gov |
| 12/10/07 | 10:47 PM | 3.4 | 86.7 km | 2,100 m | Portugal | usgs.gov |
| 8/27/07 | 8:18 PM | 3 | 68.6 km | 2,600 m | Portugal | usgs.gov |
| 1/6/07 | 7:09 AM | 3.6 | 52.4 km | 16,000 m | Portugal | usgs.gov |
| 4/15/06 | 7:52 PM | 3.4 | 58.2 km | 9,700 m | Portugal | usgs.gov |
| 12/29/05 | 5:01 AM | 4 | 92.2 km | 8,000 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.