Postal Code 75870-000 - Brazil

Brazil
Area of Postal Code 75870-0001,652.5 km²
Population11,684
Male Population6,361 (54.4%)
Female Population5,323 (45.6%)
Population change from 1975 to 2015+170.8%
Population change from 2000 to 2015+34.0%
Median Age30.6 years
Male Median Age30.1 years
Female Median Age31.1 years
Postal Code Extensions75870-000, 75870-605
Associated CitiesMaringá, Cachoeira Alta
NeighborhoodsCentro, S Central
TimezoneBrasilia Standard Time
Coordinates-18.66311569490489° / -50.957137101727234°
Related Postal Codes75827-000, 75828-000, 75830-000, 75835-000, 75840-000, 75845-000, 75850-000, 75855-000, 75860-000, 75865-000

Map of Postal Code 75870-000 - Brazil

Interactive Map

Postal Code 75870-000 - Brazil Population

Years 1975 to 2020

Data19751990200020152020
Population4,3156,7978,72211,68412,063
Population Density2.6 / km²4.1 / km²5.3 / km²7.1 / km²7.3 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 75870-000 - Brazil Population change from 2000 to 2015

Increase of 34% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Postal Code 75870-000 - Brazil+170.8%+71.9%+34%
Brazil+91.5%+38.1%+18.2%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 75870-000 - Brazil Median Age

Median Age: 30.6 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code 75870-000 - Brazil30.6 yrs31.1 yrs30.1 yrs
Brazil29.5 yrs30.3 yrs28.7 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 75870-000 Population Density

Population Density: 7.1 / km²

LocationPopulationAreaDensity
Postal Code 75870-00011,6841,652.5 km²7.1 / km²
Brazil206.1 million8,479,487.1 km²24.3 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 75870-000 - Brazil Historical and Projected Population

Estimated Population from 0 to 2100

Sources:
  1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [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 75870-000 - 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 75870-000 CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 75870-00044,894 tn3.84 tn27.2 tons/km²
Brazil561,829,904 tn2.73 tn66.3 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 75870-000 CO2 Emissions
2013 CO2 emissions (tonnes/year)44,894 tn
2013 CO2 emissions (tonnes/year) per capita3.84 tn
2013 CO2 emissions intensity (tonnes/km²/year)27.2 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
DroughtMedium (7)
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Postal Code Extensions (2)

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.