Postal Code 71938-000 - Brazil

Brazil
Area of Postal Code 71938-00034,823 m²
Population5,956
Male Population2,794 (46.9%)
Female Population3,162 (53.1%)
Population change from 1975 to 2015+205.0%
Population change from 2000 to 2015+37.8%
Median Age31.8 years
Male Median Age32.2 years
Female Median Age31.4 years
Area Codes61
Postal Code Extensions71938-000, 71938-180, 71938-360, 71938-540, 71938-720
Associated CitiesBrasília, Taguatinga, Federal District
NeighborhoodsAguas Claras, Águas Claras, Taguatinga
TimezoneBrasilia Standard Time
Coordinates-15.837034901496173° / -48.01522121927003°
Related Postal Codes71921-000, 71925-000, 71926-000, 71927-000, 71928-000, 71930-000, 71931-000, 71936-000, 71937-000, 71939-000

Map of Postal Code 71938-000 - Brazil

Interactive Map

Postal Code 71938-000 - Brazil Population

Years 1975 to 2020

Data19751990200020152020
Population1,9533,2104,3235,9566,205
Population Density56,083.4 / km²92,180.1 / km²124,141.6 / km²171,035.7 / km²178,186.1 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 71938-000 - Brazil Population change from 2000 to 2015

Increase of 37.8% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Postal Code 71938-000 - Brazil+205%+85.5%+37.8%
Brazil+91.5%+38.1%+18.2%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 71938-000 - Brazil Median Age

Median Age: 31.8 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code 71938-000 - Brazil31.8 yrs31.4 yrs32.2 yrs
Brazil29.5 yrs30.3 yrs28.7 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 71938-000 Population Density

Population Density: 171,036 / km²

LocationPopulationAreaDensity
Postal Code 71938-0005,95634,823 m²171,036 / 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 71938-000 - 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 71938-000 - Brazil

Industries

Business Distribution by Industry in Postal Code 71938-000 - Brazil

Industry DescriptionNumber of Establishments
Apartments6
Real estate11
Restaurants7

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 71938-000 CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 71938-00026,275 tn4.41 tn754,520.6 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 71938-000 CO2 Emissions
2013 CO2 emissions (tonnes/year)26,275 tn
2013 CO2 emissions (tonnes/year) per capita4.41 tn
2013 CO2 emissions intensity (tonnes/km²/year)754,520.6 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.