Postal Code 71931-000 - Brazil
Brazil
| Area of Postal Code 71931-000 | 57,869 m² |
| Population | 680 |
| Male Population | 321 (47.2%) |
| Female Population | 359 (52.8%) |
| Population change from 1975 to 2015 | +209.1% |
| Population change from 2000 to 2015 | +37.9% |
| Median Age | 31.3 years |
| Male Median Age | 31.5 years |
| Female Median Age | 31.1 years |
| Area Codes | 61 |
| Postal Code Extensions | 71931-000, 71931-180, 71931-360, 71931-540, 71931-720 |
| Associated Cities | Brasília, Taguatinga, Federal District |
| Neighborhoods | Aguas Claras, Águas Claras, Taguatinga |
| Timezone | Brasilia Standard Time |
| Coordinates | -15.835923160220124° / -48.03982256837143° |
| Related Postal Codes | 71918-000, 71919-000, 71920-000, 71921-000, 71925-000, 71930-000, 71936-000, 71937-000, 71938-000, 71939-000 |
Map of Postal Code 71931-000 - Brazil
Interactive Map
Postal Code 71931-000 - Brazil Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 220 | 373 | 493 | 680 | 709 |
| Population Density | 3,801.7 / km² | 6,445.6 / km² | 8,519.3 / km² | 11,750.7 / km² | 12,251.9 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 71931-000 - Brazil Population change from 2000 to 2015
Increase of 37.9% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 71931-000 - Brazil | +209.1% | +82.3% | +37.9% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 71931-000 - Brazil Median Age
Median Age: 31.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 71931-000 - Brazil | 31.3 yrs | 31.1 yrs | 31.5 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 71931-000 Population Density
Population Density: 11,751 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 71931-000 | 680 | 57,869 m² | 11,751 / 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 71931-000 - 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 71931-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 71931-000 - Brazil
| Industry Description | Number of Establishments |
|---|---|
| Apartments | 12 |
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 71931-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 71931-000 | 3,000 tn | 4.41 tn | 51,838.2 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 71931-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 3,000 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.41 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 51,838.2 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.