Postal Code 95975-000 - Putinga, Rio Grande do Sul
Rio Grande do Sul | Brazil
| Primary City | Putinga |
| Area of Postal Code 95975-000 | 207 km² |
| Population | 4,062 |
| Male Population | 2,057 (50.6%) |
| Female Population | 2,005 (49.4%) |
| Population change from 1975 to 2020 | -18.0% |
| Population change from 2000 to 2020 | -15.1% |
| Median Age | 39.5 years |
| Male Median Age | 37.3 years |
| Female Median Age | 41.8 years |
| Postal Code Extensions | 95975-000 |
| Neighborhoods | Centro |
| Timezone | Brasilia Standard Time |
| Coordinates | -29.00154401828712° / -52.15729704430682° |
| Related Postal Codes | 95945-000, 95948-000, 95950-000, 95955-000, 95960-000, 95964-000, 95965-000, 95967-000, 95970-000, 95972-000 |
Map of Postal Code 95975-000 - Putinga, Rio Grande do Sul
Interactive Map
Postal Code 95975-000 - Putinga, Rio Grande do Sul Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 4,952 | 5,069 | 4,783 | 4,070 | 4,062 | 4,024 | 4,015 |
| Population Density | 23.9 / km² | 24.5 / km² | 23.1 / km² | 19.7 / km² | 19.6 / km² | 19.4 / km² | 19.4 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 95975-000 - Putinga, Rio Grande do Sul Population change from 2000 to 2020
Decrease of 15.1% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 95975-000 - Putinga, Rio Grande do Sul | -18% | -19.9% | -15.1% |
| Putinga | -64.9% | -65.8% | -63.8% |
| Rio Grande do Sul | +49.5% | +17.3% | +6.8% |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 95975-000 - Putinga, Rio Grande do Sul Median Age
Median Age: 39.5 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 95975-000 - Putinga, Rio Grande do Sul | 39.5 yrs | 41.8 yrs | 37.3 yrs |
| Putinga | 38 yrs | 39.8 yrs | 36.1 yrs |
| Rio Grande do Sul | 33 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)
Postal Code 95975-000 Population Density
Population Density: 19.6 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 95975-000 | 4,062 | 207 km² | 19.6 / km² |
| Putinga | 623 | 1.36 km² | 458 / km² |
| Rio Grande do Sul | 11.2 million | 268,766.5 km² | 41.8 / 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
Postal Code 95975-000 - Putinga, Rio Grande do Sul 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
Business Distribution by neighborhood in Postal Code 95975-000 - Putinga, Rio Grande do Sul
Industries
Business Distribution by Industry in Postal Code 95975-000 - Putinga, Rio Grande do Sul
| Industry Description | Number of Establishments |
|---|---|
| All food and beverage | 6 |
| Car repair | 8 |
| Churches | 14 |
| Corporate management | 5 |
| Education | 14 |
| Grocery stores and supermarkets | 7 |
| Public administration | 5 |
| Religion | 5 |
| Restaurants | 6 |
| Shopping | 6 |
| Travel agencies | 5 |
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
Postal Code 95975-000 - Putinga, Rio Grande do Sul Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $7,462 | $8,144 | $9,384 | $9,281 | $12,094 | $11,804 | $10,960 | $12,344 |
| Total GDP | $31.6M | $34.6M | $38.6M | $36.6M | $44.5M | $41.4M | $38.3M | $43M |
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
Postal Code 95975-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 95975-000 | 14,830 tn | 3.65 tn | 71.6 tons/km² |
| Putinga | 2,279 tn | 3.66 tn | 1,675.8 tons/km² |
| Rio Grande do Sul | 38,060,902 tn | 3.39 tn | 141.6 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
Postal Code 95975-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 14,830 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.65 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 71.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Postal Code Extensions (1)
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.