Postal Code 85875-000 - Brazil
Brazil
| Area of Postal Code 85875-000 | 284.8 km² |
| Population | 22,750 |
| Male Population | 11,195 (49.2%) |
| Female Population | 11,555 (50.8%) |
| Population change from 1975 to 2020 | +94.1% |
| Population change from 2000 to 2020 | +14.5% |
| Median Age | 29.7 years |
| Male Median Age | 28.9 years |
| Female Median Age | 30.4 years |
| Postal Code Extensions | 85875-000, 85875-052 |
| Associated Cities | Umuarama, Santa Terezinha de Itaipu |
| Neighborhoods | Área Industrial, centro, Centro, Jardim Paraiso, Parque dos Estados |
| Timezone | Brasilia Standard Time |
| Coordinates | -25.44451152741716° / -54.41434020295115° |
| Related Postal Codes | 85864-000, 85865-000, 85866-000, 85870-000, 85872-000, 85873-000, 85874-000, 85877-000, 85878-000, 85879-000 |
Map of Postal Code 85875-000 - Brazil
Interactive Map
Postal Code 85875-000 - Brazil Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 11,718 | 16,576 | 19,874 | 23,022 | 22,750 | 22,970 | 23,291 |
| Population Density | 41.1 / km² | 58.2 / km² | 69.8 / km² | 80.8 / km² | 79.9 / km² | 80.6 / km² | 81.8 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 85875-000 - Brazil Population change from 2000 to 2020
Increase of 14.5% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 85875-000 - Brazil | +94.1% | +37.2% | +14.5% |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 85875-000 - Brazil Median Age
Median Age: 29.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 85875-000 - Brazil | 29.7 yrs | 30.4 yrs | 28.9 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 85875-000 Population Density
Population Density: 79.9 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 85875-000 | 22,750 | 284.8 km² | 79.9 / 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 85875-000 - Brazil Historical and Projected Population
Estimated Population from 1100 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 85875-000 - Brazil
Business Concentration in Postal Code 85875-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 85875-000 - Brazil
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Bars, pubs and taverns | 42 | — |
| Beauty salons | 54 | — |
| Car repair | 24 | — |
| Churches | 39 | — |
| Clothing stores | 79 | — |
| Education | 29 | — |
| Grocery stores and supermarkets | 8 | 30 years |
| Restaurants | 39 | — |
| Shopping | 32 | — |
| Shopping other | 2 | — |
Business distribution by price for Postal Code 85875-000 - Brazil
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 85875-000 - Brazil Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $11,108 | $11,692 | $12,037 | $9,879 | $11,259 | $11,423 | $9,188 | $9,772 |
| Total GDP | $207.1M | $234.4M | $257M | $224.7M | $266.7M | $277.4M | $229M | $244.9M |
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 85875-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 85875-000 | 70,074 tn | 3.08 tn | 246 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 85875-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 70,074 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.08 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 246 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (4) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
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.