Postal Code 71955-000 - Brazil

Brazil
Area of Postal Code 71955-00079,397 m²
Population328
Male Population155 (47.3%)
Female Population173 (52.7%)
Population change from 1975 to 2015+111.6%
Population change from 2000 to 2015+38.4%
Median Age29.9 years
Male Median Age29.6 years
Female Median Age30.1 years
Area Codes61
Postal Code Extensions71955-000, 71955-100, 71955-120, 71955-180, 71955-360, 71955-540, 71955-720
Associated CitiesBrasília, Taguatinga, Federal District
NeighborhoodsÁguas Claras, Pistão Sul, Taguatinga
TimezoneBrasilia Standard Time
Coordinates-15.855419995488996° / -48.03744000029849°
Related Postal Codes71936-000, 71950-000, 71951-000, 71952-000, 71953-000, 71954-000, 71956-000, 71957-000, 71958-000, 71959-000

Map of Postal Code 71955-000 - Brazil

Interactive Map

Postal Code 71955-000 - Brazil Population

Years 1975 to 2020

Data19751990200020152020
Population155256237328341
Population Density1,952.2 / km²3,224.3 / km²2,985 / km²4,131.2 / km²4,294.9 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 71955-000 - Brazil Population change from 2000 to 2015

Increase of 38.4% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Postal Code 71955-000 - Brazil+111.6%+28.1%+38.4%
Brazil+91.5%+38.1%+18.2%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 71955-000 - Brazil Median Age

Median Age: 29.9 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code 71955-000 - Brazil29.9 yrs30.1 yrs29.6 yrs
Brazil29.5 yrs30.3 yrs28.7 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 71955-000 Population Density

Population Density: 4,131 / km²

LocationPopulationAreaDensity
Postal Code 71955-00032879,397 m²4,131 / 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 71955-000 - Brazil Historical and Projected Population

Estimated Population from 1960 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 71955-000 - 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 71955-000 CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 71955-0001,447 tn4.41 tn18,224.5 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 71955-000 CO2 Emissions
2013 CO2 emissions (tonnes/year)1,447 tn
2013 CO2 emissions (tonnes/year) per capita4.41 tn
2013 CO2 emissions intensity (tonnes/km²/year)18,224.5 tons/km²

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.