Categories in Portão
Industries
Business Distribution by Industry in Portão
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 230 | 26 years |
| Restaurants | 155 | — |
| Clothing stores | 134 | 24 years |
| Grocery stores and supermarkets | 116 | 26 years |
| Car repair | 100 | — |
| Real estate | 92 | — |
| Corporate management | 89 | 27 years |
| Education | 87 | 30 years |
| Beauty salons | 76 | — |
| Freight/commercial transport | 62 | — |
| Construction of buildings | 61 | — |
| Religion | 59 | — |
| Gas station | 55 | — |
| Hardware store | 54 | 32 years |
| Furniture stores | 52 | — |
| Lawyers legal | 50 | — |
Portão Facts
| Area | 17.2 km² |
| Population | 25,440 |
| Male Population | 12,656 (49.7%) |
| Female Population | 12,784 (50.3%) |
| Population change (1975 to 2020) | +171.7% |
| Population change (2000 to 2020) | +19.5% |
| Median Age | 30.7 years (Male: 30, Female: 31.3) |
| GDP per capita (PPP) | $16,157 (2022) |
| Neighborhoods | Centro, Rincão do Cascalho, Vila Rica, Boa Vista, Portão Velho |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -29.70167, -51.24194 |
| Postal Codes | 93180 |
Map of Portão
Interactive Map
Portão Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 9,362 | 16,119 | 21,289 | 29,475 | 25,440 | 25,934 | 26,464 |
| Population Density | 544.7 / km² | 937.8 / km² | 1,238.6 / km² | 1,714.9 / km² | 1,480.1 / km² | 1,508.9 / km² | 1,539.7 / km² |
Portão Population change from 2000 to 2020
Increase of 19.5% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Portão | +171.7% | +57.8% | +19.5% |
| Rio Grande do Sul | — | — | — |
| Brazil | — | — | — |
Portão Median Age
Median Age: 30.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Portão | 30.7 yrs | 31.3 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 |
Portão Population Density
Population Density: 1,480 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Portão | 25,440 | 17.2 km² | 1,480 / 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 |
Portão 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 Portão
Percentage of businesses by neighborhood in Portão
Price Distribution
Business distribution by price for Portão
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Portão Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $10,087 | $10,290 | $13,701 | $15,401 | $17,106 | $17,201 | $15,387 | $16,157 |
| Total GDP | $62.5M | $67.4M | $94.9M | $114.4M | $133.3M | $136.9M | $123.7M | $129.3M |
Portão CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Portão | 86,457 tn | 3.4 tn | 5,030.3 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) | 86,457 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.4 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 5,030.3 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.
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.


