Postal Code 95870-000 - Brazil
Brazil
| Area of Postal Code 95870-000 | 102.8 km² |
| Population | 11,652 |
| Male Population | 5,749 (49.3%) |
| Female Population | 5,903 (50.7%) |
| Population change from 1975 to 2020 | +56.9% |
| Population change from 2000 to 2020 | +4.7% |
| Median Age | 33.4 years |
| Male Median Age | 31.9 years |
| Female Median Age | 34.9 years |
| Postal Code Extensions | 95870-000, 95870-400 |
| Associated Cities | Maringá, Bom Retiro do Sul |
| Neighborhoods | Alto da Bronze, Brasília, Centro, Getúlio Vargas, Imigrantes, São Francisco, São João |
| Timezone | Brasilia Standard Time |
| Coordinates | -29.621520519229826° / -51.92826010081067° |
| Related Postal Codes | 95833-000, 95835-000, 95840-000, 95845-000, 95850-000, 95853-000, 95855-000, 95860-000, 95873-000, 95875-000 |
Map of Postal Code 95870-000 - Brazil
Interactive Map
Postal Code 95870-000 - Brazil Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 7,426 | 9,915 | 11,127 | 12,193 | 11,652 | 11,566 | 11,546 |
| Population Density | 72.2 / km² | 96.4 / km² | 108.2 / km² | 118.6 / km² | 113.3 / km² | 112.5 / km² | 112.3 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 95870-000 - Brazil Population change from 2000 to 2020
Increase of 4.7% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 95870-000 - Brazil | +56.9% | +17.5% | +4.7% |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 95870-000 - Brazil Median Age
Median Age: 33.4 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 95870-000 - Brazil | 33.4 yrs | 34.9 yrs | 31.9 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 95870-000 Population Density
Population Density: 113 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 95870-000 | 11,652 | 102.8 km² | 113 / 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 95870-000 - Brazil 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 95870-000 - Brazil
Area Codes
Percentage Area Codes used by businesses in Postal Code 95870-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 95870-000 - Brazil
| Industry Description | Number of Establishments |
|---|---|
| Bars, pubs and taverns | 15 |
| Car repair | 22 |
| Churches | 11 |
| Clothing stores | 22 |
| Education | 28 |
| Gas station | 13 |
| Grocery stores and supermarkets | 25 |
| Pharmacies and drug stores | 16 |
| Public administration | 11 |
| Religion | 13 |
| Restaurants | 21 |
| Shopping | 35 |
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 95870-000 - Brazil Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $9,362 | $11,206 | $12,469 | $12,732 | $14,884 | $16,879 | $15,244 | $18,501 |
| Total GDP | $373M | $453.9M | $513.6M | $567.2M | $733.7M | $815.1M | $719.4M | $885M |
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 95870-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 95870-000 | 42,520 tn | 3.65 tn | 413.5 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 95870-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 42,520 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.65 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 413.5 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.
Cities
Percentage of businesses by city in Postal Code 95870-000 - Brazil
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.