Postal Code 35875-000 - Brazil
Brazil
| Area of Postal Code 35875-000 | 476.4 km² |
| Population | 3,430 |
| Male Population | 1,725 (50.3%) |
| Female Population | 1,705 (49.7%) |
| Population change from 1975 to 2020 | -10.2% |
| Population change from 2000 to 2020 | -11.1% |
| Median Age | 32.5 years |
| Male Median Age | 31.8 years |
| Female Median Age | 33.3 years |
| Postal Code Extensions | 35875-000, 35875-015 |
| Associated Cities | Umuarama, Morro do Pilar |
| Neighborhoods | Centro, Zona II |
| Timezone | Brasilia Standard Time |
| Coordinates | -19.223531737083352° / -43.39435013683564° |
| Related Postal Codes | 35850-000, 35858-000, 35859-000, 35860-000, 35861-000, 35862-000, 35863-000, 35864-000, 35865-000, 35878-000 |
Map of Postal Code 35875-000 - Brazil
Interactive Map
Postal Code 35875-000 - Brazil Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 3,820 | 4,025 | 3,859 | 3,319 | 3,430 | 3,463 | 3,519 |
| Population Density | 8 / km² | 8.4 / km² | 8.1 / km² | 7 / km² | 7.2 / km² | 7.3 / km² | 7.4 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 35875-000 - Brazil Population change from 2000 to 2020
Decrease of 11.1% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 35875-000 - Brazil | -10.2% | -14.8% | -11.1% |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 35875-000 - Brazil Median Age
Median Age: 32.5 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 35875-000 - Brazil | 32.5 yrs | 33.3 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 35875-000 Population Density
Population Density: 7.2 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 35875-000 | 3,430 | 476.4 km² | 7.2 / 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 35875-000 - 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 35875-000 - Brazil
Area Codes
Percentage Area Codes used by businesses in Postal Code 35875-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 35875-000 - Brazil
| Industry Description | Number of Establishments |
|---|---|
| Bars, pubs and taverns | 10 |
| Churches | 8 |
| Education | 8 |
| Grocery stores and supermarkets | 6 |
| Hotels and motels | 6 |
| Public administration | 8 |
| Restaurants | 11 |
| Shopping | 8 |
| Tractors and farm equipment | 7 |
| Travel agencies | 7 |
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 35875-000 - Brazil Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $5,625 | $5,810 | $5,634 | $6,235 | $7,635 | $6,383 | $7,569 | $7,901 |
| Total GDP | $19.8M | $21M | $20M | $21.3M | $24.5M | $19.8M | $23.9M | $25.1M |
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 35875-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 35875-000 | 8,859 tn | 2.58 tn | 18.6 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 35875-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 8,859 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 2.58 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 18.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | High (9) |
| Flood | High (8) |
* 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.