Postal Code 71990-000 - Brazil
Brazil
| Area of Postal Code 71990-000 | 0.178 km² |
| Population | 173 |
| Male Population | 85 (49.3%) |
| Female Population | 88 (50.7%) |
| Population change from 1975 to 2015 | +37.3% |
| Population change from 2000 to 2015 | +33.1% |
| Median Age | 28.1 years |
| Male Median Age | 28.2 years |
| Female Median Age | 28.1 years |
| Area Codes | 61 |
| Postal Code Extensions | 71990-000, 71990-180, 71990-360, 71990-540, 71990-720 |
| Associated Cities | Brasília, Taguatinga, Federal District |
| Neighborhoods | Aguas Claras, Águas Claras, Taguatinga |
| Timezone | Brasilia Standard Time |
| Coordinates | -15.875650201516606° / -48.00067978467217° |
| Related Postal Codes | 71978-000, 71979-000, 71980-000, 71981-000, 71991-000, 71992-000, 71993-000, 71994-000, 71995-000, 71996-000 |
Map of Postal Code 71990-000 - Brazil
Interactive Map
Postal Code 71990-000 - Brazil Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 126 | 142 | 130 | 173 | 180 |
| Population Density | 708.1 / km² | 798 / km² | 730.6 / km² | 972.2 / km² | 1,011.5 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 71990-000 - Brazil Population change from 2000 to 2015
Increase of 33.1% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 71990-000 - Brazil | +37.3% | +21.8% | +33.1% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 71990-000 - Brazil Median Age
Median Age: 28.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 71990-000 - Brazil | 28.1 yrs | 28.1 yrs | 28.2 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 71990-000 Population Density
Population Density: 972 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 71990-000 | 173 | 0.178 km² | 972 / 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 71990-000 - Brazil Historical and Projected Population
Estimated Population from 1960 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 71990-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 71990-000 - Brazil
| Industry Description | Number of Establishments |
|---|---|
| Car repair | 17 |
| Shopping | 14 |
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 71990-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 71990-000 | 763 tn | 4.41 tn | 4,288.9 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 71990-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 763 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.41 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 4,288.9 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.