Postal Code 71917-000 - Brazil

Brazil
Area of Postal Code 71917-0000.103 km²
Population6,459
Male Population3,072 (47.6%)
Female Population3,387 (52.4%)
Population change from 1975 to 2015+214.2%
Population change from 2000 to 2015+34.6%
Median Age31.8 years
Male Median Age32 years
Female Median Age31.7 years
Postal Code Extensions71917-000, 71917-180, 71917-360, 71917-540, 71917-720
Associated CitiesBrasília, Taguatinga, Federal District
NeighborhoodsAguas Claras, Águas Claras, Taguatinga
TimezoneBrasilia Standard Time
Coordinates-15.838289974641418° / -48.03160996992056°
Related Postal Codes71903-000, 71904-000, 71905-000, 71906-000, 71907-000, 71910-000, 71915-000, 71916-000, 71918-000, 71919-000

Map of Postal Code 71917-000 - Brazil

Interactive Map

Postal Code 71917-000 - Brazil Population

Years 1975 to 2020

Data19751990200020152020
Population2,0563,6944,7996,4596,729
Population Density19,977.1 / km²35,892.7 / km²46,629.4 / km²62,758.7 / km²65,382.1 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 71917-000 - Brazil Population change from 2000 to 2015

Increase of 34.6% from year 2000 to 2015

LocationChange since 1975Change since 1990Change since 2000
Postal Code 71917-000 - Brazil+214.2%+74.9%+34.6%
Brazil+91.5%+38.1%+18.2%
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 71917-000 - Brazil Median Age

Median Age: 31.8 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code 71917-000 - Brazil31.8 yrs31.7 yrs32 yrs
Brazil29.5 yrs30.3 yrs28.7 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 71917-000 Population Density

Population Density: 62,759 / km²

LocationPopulationAreaDensity
Postal Code 71917-0006,4590.103 km²62,759 / 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 71917-000 - 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 71917-000 - 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 71917-000 CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 71917-00028,494 tn4.41 tn276,858.7 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 71917-000 CO2 Emissions
2013 CO2 emissions (tonnes/year)28,494 tn
2013 CO2 emissions (tonnes/year) per capita4.41 tn
2013 CO2 emissions intensity (tonnes/km²/year)276,858.7 tons/km²

Cities

Percentage of businesses by city in Postal Code 71917-000 - Brazil

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.