Categories in Canoas
Industries
Business Distribution by Industry in Canoas
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 3,003 | 28 years |
| Restaurants | 1,891 | 24 years |
| Clothing stores | 1,528 | 26 years |
| Car repair | 1,434 | 29 years |
| Real estate | 1,322 | 25 years |
| Beauty salons | 1,294 | 19 years |
| Corporate management | 1,253 | 26 years |
| Grocery stores and supermarkets | 1,135 | 26 years |
| Freight/commercial transport | 1,063 | 28 years |
| Electronics stores | 945 | 25 years |
| Construction of buildings | 787 | 25 years |
| Education | 785 | 35 years |
| Shopping other | 766 | 29 years |
| Pharmacies and drug stores | 754 | 24 years |
| Hardware store | 743 | 30 years |
| Lawyers legal | 639 | 23 years |
| Religion | 621 | 44 years |
Canoas Facts
| Area | 131.8 km² |
| Population | 354,859 |
| Male Population | 170,877 (48.2%) |
| Female Population | 183,982 (51.8%) |
| Population change (1975 to 2020) | +64.7% |
| Population change (2000 to 2020) | +12.0% |
| Median Age | 31.3 years (Male: 30, Female: 32.5) |
| Area Codes | 51 |
| Neighborhoods | Centro, Niterói, Mathias Velho, Marechal Rondon, Estância Velha |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -29.91778, -51.18361 |
| Postal Codes | 92010, 92020, 92022, 92025, 92027, More |
Map of Canoas
Interactive Map
Canoas Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 215,495 | 284,126 | 316,837 | 341,036 | 354,859 |
| Population Density | 1,635.6 / km² | 2,156.6 / km² | 2,404.8 / km² | 2,588.5 / km² | 2,693.4 / km² |
Canoas Population change from 2000 to 2015
Increase of 7.6% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Canoas | +58.3% | +20% | +7.6% |
| Rio Grande do Sul | +49.1% | +17.1% | +6.6% |
| Brazil | +91.5% | +38.1% | +18.2% |
Canoas Median Age
Median Age: 31.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Canoas | 31.3 yrs | 32.5 yrs | 30 yrs |
| Rio Grande do Sul | 32.9 yrs | 34.1 yrs | 31.8 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Canoas Population Density
Population Density: 2,693 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Canoas | 354,859 | 131.8 km² | 2,693 / 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 |
Canoas 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 Canoas
Percentage of businesses by neighborhood in Canoas
Postal Codes
Percentage of businesses by Postal Codes in Canoas
Price Distribution
Business distribution by price for Canoas
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Canoas CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Canoas | 1,355,241 tn | 3.82 tn | 10,286.5 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 |
| 2013 CO2 emissions (tonnes/year) | 1,355,241 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.82 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 10,286.5 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.
Canoas
Canoas (Portuguese pronunciation: [kaˈnoɐs]), which earned city status in 1939, is a municipality in the Brazilian state of Rio Grande do Sul. With more than 300,000 inhabitants, it is part of the Porto Alegre conurbation and has the second highest G..
Canoas Wikipedia Page
About Our Data
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