Postal Code 89870-000 - Brazil
Brazil
| Area of Postal Code 89870-000 | 129.6 km² |
| Population | 19,311 |
| Male Population | 9,666 (50.1%) |
| Female Population | 9,645 (49.9%) |
| Population change from 1975 to 2015 | +282.2% |
| Population change from 2000 to 2015 | +50.1% |
| Median Age | 29.3 years |
| Male Median Age | 29.1 years |
| Female Median Age | 29.6 years |
| Postal Code Extensions | 89870-000, 89870-470 |
| Associated Cities | Maringá, Pinhalzinho, Santa Catarina |
| Neighborhoods | Baixada Pioneira, Centro, EFACIP, Nova Divinéia, Santo Antônio, São José, Zona 01 |
| Timezone | Brasilia Standard Time |
| Coordinates | -26.836833601007825° / -52.98439615944549° |
| Related Postal Codes | 89848-000, 89850-000, 89854-000, 89871-000, 89872-000, 89873-000, 89874-000, 89875-000, 89878-000, 89879-000 |
Map of Postal Code 89870-000 - Brazil
Interactive Map
Postal Code 89870-000 - Brazil Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 5,053 | 9,240 | 12,865 | 19,311 | 19,941 |
| Population Density | 39 / km² | 71.3 / km² | 99.2 / km² | 149 / km² | 153.8 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 89870-000 - Brazil Population change from 2000 to 2015
Increase of 50.1% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 89870-000 - Brazil | +282.2% | +109% | +50.1% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 89870-000 - Brazil Median Age
Median Age: 29.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 89870-000 - Brazil | 29.3 yrs | 29.6 yrs | 29.1 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 89870-000 Population Density
Population Density: 149 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 89870-000 | 19,311 | 129.6 km² | 149 / 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 89870-000 - Brazil Historical and Projected Population
Estimated Population from 1890 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 89870-000 - Brazil
Area Codes
Percentage Area Codes used by businesses in Postal Code 89870-000 - Brazil
Business Concentration in Postal Code 89870-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 89870-000 - Brazil
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Apartments | 26 | — |
| Beauty salons | 51 | — |
| Car repair | 63 | — |
| Clothing stores | 47 | 34.5 years |
| Corporate management | 51 | 25.5 years |
| Education | 38 | — |
| Electronics stores | 32 | 27.3 years |
| Furniture stores | 25 | — |
| Grocery stores and supermarkets | 35 | — |
| Lawyers legal | 24 | — |
| Pharmacies and drug stores | 24 | — |
| Restaurants | 47 | — |
| Shopping | 80 | — |
| Wholesale of construction supplies | 29 | — |
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 89870-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 89870-000 | 78,135 tn | 4.05 tn | 602.7 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 89870-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 78,135 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.05 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 602.7 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.
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.