Categories in Camaquã
Auto Bodywork MechanicAuto Electrical ServiceAuto paintingAuto Parts StoreAuto Spring ShopBike washCar Accessories StoreCar Battery StoreCar Detailing ServiceCar & Light Vehicle DealershipsCar repairCar Repair and MaintenanceCar Stereo StoreCar WashFiat dealerGas StationMechanicMotorcycle DealerMotorcycle Parts StoreMotorcycle repairNew car dealersOil Change ServiceTire repair shopTire ShopTruck Accessories StoreTruck Repair ShopUsed car dealersAgricultural ProductionAgricultural wholesaleAluminum Frames SupplierBeverage SupplierChocolate ArtisanCommercial PrinterConcrete Product SupplierFactoryFarm Equipment SupplierFarmingFarming and Cattle RaisingFire Protection Equipment SupplierFurniture MakerHandicraftImport Export CompanyIndustrial Equipment SupplierKnitwear ManufacturerLumber StoreMarble SupplierPharmaceutical CompanySaw MillSecurity System SupplierSeed Supplier
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Industries
Business Distribution by Industry in Camaquã
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 444 | 33 years |
| Grocery stores and supermarkets | 231 | 32 years |
| Clothing stores | 229 | 29 years |
| Car repair | 180 | 28 years |
| Restaurants | 158 | — |
| Pharmacies and drug stores | 139 | 22 years |
| Education | 125 | 29 years |
| Car parts | 113 | 28 years |
| Corporate management | 109 | 34 years |
| Real estate | 105 | — |
| Freight/commercial transport | 103 | — |
| Automotive | 100 | 29 years |
| Health and medical | 99 | — |
| Beauty salons | 97 | — |
| All food and beverage | 96 | — |
| Finance other | 91 | — |
| Construction of buildings | 87 | — |
| Shopping other | 85 | — |
| Lawyers legal | 81 | — |
Camaquã Facts
| Area | 39.6 km² |
| Population | 49,240 |
| Male Population | 23,715 (48.2%) |
| Female Population | 25,525 (51.8%) |
| Population change (1975 to 2020) | +43.9% |
| Population change (2000 to 2020) | +2.2% |
| Median Age | 33.4 years (Male: 32, Female: 34.7) |
| GDP per capita (PPP) | $12,957 (2022) |
| Neighborhoods | Centro, Vila Nova, Olaria, Carvalho Bastos, Jardim |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -30.85111, -51.81222 |
| Postal Codes | 96180 |
Map of Camaquã
Interactive Map
Camaquã Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 34,224 | 43,992 | 48,180 | 50,478 | 49,240 | 48,810 | 48,669 |
| Population Density | 863.7 / km² | 1,110.2 / km² | 1,215.9 / km² | 1,273.9 / km² | 1,242.6 / km² | 1,231.8 / km² | 1,228.2 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridCamaquã Population change from 2000 to 2020
Increase of 2.2% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Camaquã | +43.9% | +11.9% | +2.2% |
| Rio Grande do Sul | — | — | — |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Camaquã Median Age
Median Age: 33.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Camaquã | 33.4 yrs | 34.7 yrs | 32 yrs |
| Rio Grande do Sul | 32.9 yrs | 34.1 yrs | 31.8 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Camaquã Population Density
Population Density: 1,243 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Camaquã | 49,240 | 39.6 km² | 1,243 / km² |
| Rio Grande do Sul | 11.2 million | 268,766.5 km² | 41.7 / km² |
| Brazil | 206.1 million | 8,479,487.1 km² | 24.3 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Camaquã Historical and Projected Population
Estimated Population from 1500 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 Camaquã
Percentage of businesses by neighborhood in Camaquã
Price Distribution
Business distribution by price for Camaquã
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
Camaquã Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $16,036 | $13,921 | $13,205 | $13,086 | $13,974 | $12,144 | $12,248 | $12,957 |
| Total GDP | $29M | $25.8M | $24.8M | $25.2M | $26.8M | $23.2M | $23.5M | $24.5M |
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
Camaquã CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Camaquã | 166,405 tn | 3.38 tn | 4,199.5 tons/km² |
| Rio Grande do Sul | 37,971,816 tn | 3.39 tn | 141.3 tons/km² |
| Brazil | 561,829,904 tn | 2.73 tn | 66.3 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
Camaquã CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 166,405 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.38 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 4,199.5 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (10) |
* 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.
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.