Industries
Business Distribution by Industry in Putinga
Putinga Facts
| Area | 1.4 km² |
| Population | 1,484 |
| Male Population | 712 (48.0%) |
| Female Population | 772 (52.0%) |
| Population change (1975 to 2020) | -16.3% |
| Population change (2000 to 2020) | -13.8% |
| Median Age | 38.2 years (Male: 36.1, Female: 39.8) |
| Neighborhoods | Centro, 938, CENTRO, Interior |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -29.00194, -52.15417 |
| Postal Codes | 95975 |
Map of Putinga
Interactive Map
Putinga Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 1,774 | 1,824 | 1,721 | 1,442 | 1,484 |
| Population Density | 1,290.2 / km² | 1,326.5 / km² | 1,251.6 / km² | 1,048.7 / km² | 1,079.3 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Putinga Population change from 2000 to 2015
Decrease of 16.2% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Putinga | -18.7% | -20.9% | -16.2% |
| Rio Grande do Sul | +49.1% | +17.1% | +6.6% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Putinga Median Age
Median Age: 38.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Putinga | 38.2 yrs | 39.8 yrs | 36.1 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)
Putinga Population Density
Population Density: 1,079 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Putinga | 1,484 | 1.375 km² | 1,079 / 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
Putinga Historical and Projected Population
Estimated Population from 0 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 Putinga
Percentage of businesses by neighborhood in Putinga
Price Distribution
Business distribution by price for Putinga
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
Putinga CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Putinga | 5,430 tn | 3.66 tn | 3,949 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
Putinga CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 5,430 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.66 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 3,949 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
* 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.