Categories in Espumoso

Auto Electrical ServiceAuto Parts StoreCar repairCar Repair and MaintenanceCar WashGas StationMotorcycle repairNew car dealersOil Change ServiceUsed car dealersAgricultural ProductionAgricultural wholesaleFarm Equipment SupplierFarmingFarming and Cattle RaisingFurniture MakerHandicraftPharmaceutical CompanyClothing storesDesigner Clothing StoreFashion Accessories StoreMen's clothingShoe storesMobile phone storesTelecommunications Service ProviderChurchesGas CompanyComputer Repair ServiceElectronics StorePhone Repair ServiceAppliance StoreBuilding Materials StoreConstruction of buildingsGeneral contractorsHardware storeHome Goods StoreHousing DevelopmentPaint StoreEducationEducational InstitutionPublic SchoolGraphic DesignerPhotographerBakeriesBars, pubs and tavernsBrazilian RestaurantBurger restaurantsGrocery stores and supermarketsHealth and Beauty ShopHealth Food Store
Showing 1-50 of 100

Industries

Business Distribution by Industry in Espumoso

Industry DescriptionNumber of EstablishmentsAverage Age of Business
Shopping8029 years
Clothing stores5925 years
Grocery stores and supermarkets43
Pharmacies and drug stores32
Education32
Corporate management32
Car repair30
Restaurants30
Health and medical30
Gas station24
Electronics stores20
Car parts20
Beauty salons19
Lawyers legal18
Real estate18

Espumoso Facts

Area8.5 km²
Population10,458
Male Population5,019 (48.0%)
Female Population5,439 (52.0%)
Population change (1975 to 2020)+63.6%
Population change (2000 to 2020)+1.8%
Median Age33 years (Male: 31.5, Female: 34.4)
GDP per capita (PPP)$11,940 (2022)
NeighborhoodsCentro, Maravalha, Brasil, São Jorge, Jardim
Local Time
TimezoneBrasilia Standard Time
Lat & Lng-28.72472, -52.84972
Postal Codes99400

Map of Espumoso

Interactive Map

Espumoso Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population6,3948,90010,27711,65810,45810,32410,319
Population Density752.2 / km²1,047.1 / km²1,209.1 / km²1,371.5 / km²1,230.4 / km²1,214.6 / km²1,214 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Espumoso Population change from 2000 to 2020

Increase of 1.8% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Espumoso+63.6%+17.5%+1.8%
Rio Grande do Sul
Brazil
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Espumoso Median Age

Median Age: 33 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Espumoso33 yrs34.4 yrs31.5 yrs
Rio Grande do Sul32.9 yrs34.1 yrs31.8 yrs
Brazil29.5 yrs30.3 yrs28.7 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Espumoso Population Density

Population Density: 1,230 / km²

LocationPopulationAreaDensity
Espumoso10,4588.5 km²1,230 / km²
Rio Grande do Sul11.2 million268,766.5 km²41.7 / km²
Brazil206.1 million8,479,487.1 km²24.3 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Espumoso Historical and Projected Population

Estimated Population from 700 to 2100

Sources:
  1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [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 Espumoso

Percentage of businesses by neighborhood in Espumoso

Price Distribution

Business distribution by price for Espumoso

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

Espumoso Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$6,792$7,887$8,254$7,519$12,558$12,482$11,531$11,940
Total GDP$121.6M$140.9M$181M$162.1M$209.9M$225.5M$200.2M$194M
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

Espumoso CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Espumoso38,756 tn3.71 tn4,559.5 tons/km²
Rio Grande do Sul37,971,816 tn3.39 tn141.3 tons/km²
Brazil561,829,904 tn2.73 tn66.3 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
Espumoso CO2 Emissions
2013 CO2 emissions (tonnes/year)38,756 tn
2013 CO2 emissions (tonnes/year) per capita3.71 tn
2013 CO2 emissions intensity (tonnes/km²/year)4,559.5 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodMedium (7)

* Risk, particularly concerning flood or landslide, may not be for the entire area.

Sources:
  1. 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.
  2. 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.

Espumoso

Espumoso is a municipality in the state of Rio Grande do Sul, Brazil. It belongs to the mesoregion "Nordeste Rio Grandense" and the microregion of "Cruz Alta" along with another 13 municipalities (Alto Alegre, Boa Vista do Cadeado, Boa Vista do Incra..

Espumoso 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.