Postal Code 72016-000 - Brazil
Brazil
| Area of Postal Code 72016-000 | 4.524 km² |
| Population | 6,886 |
| Male Population | 3,233 (47.0%) |
| Female Population | 3,653 (53.0%) |
| Population change from 1975 to 2015 | +214.1% |
| Population change from 2000 to 2015 | +38.1% |
| Median Age | 31.1 years |
| Male Median Age | 29.5 years |
| Female Median Age | 32.5 years |
| Area Codes | 61 |
| Postal Code Extensions | 72016-000, 72016-010, 72016-011, 72016-012, 72016-013, 72016-015, 72016-020, 72016-025, 72016-030, 72016-035 More |
| Associated Cities | Brasília, Taguatinga, Federal District |
| Neighborhoods | Tag. Sul, Taguatinga, Taguatinga Sul |
| Timezone | Brasilia Standard Time |
| Coordinates | -15.841405360933427° / -48.058637860377324° |
| Related Postal Codes | 72000-000, 72001-000, 72002-000, 72003-000, 72005-000, 72007-000, 72010-000, 72011-000, 72015-000, 72017-000 |
Map of Postal Code 72016-000 - Brazil
Interactive Map
Postal Code 72016-000 - Brazil Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 2,192 | 3,770 | 4,985 | 6,886 | 7,174 |
| Population Density | 484.6 / km² | 833.4 / km² | 1,102 / km² | 1,522.3 / km² | 1,585.9 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 72016-000 - Brazil Population change from 2000 to 2015
Increase of 38.1% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 72016-000 - Brazil | +214.1% | +82.7% | +38.1% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 72016-000 - Brazil Median Age
Median Age: 31.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 72016-000 - Brazil | 31.1 yrs | 32.5 yrs | 29.5 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 72016-000 Population Density
Population Density: 1,522 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 72016-000 | 6,886 | 4.524 km² | 1,522 / 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 72016-000 - 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 72016-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 72016-000 - Brazil
| Industry Description | Number of Establishments | Average Age of Business | Average Google Rating |
|---|---|---|---|
| All food and beverage | 10 | — | 4.1 |
| Bars, pubs and taverns | 7 | — | 3.9 |
| Beauty salons | 11 | — | 4.5 |
| Car repair | 16 | — | 4.3 |
| Car wash and detail | 5 | — | 4.2 |
| Churches | 5 | — | 4.9 |
| Education | 13 | — | 4.2 |
| Electrical installation | 6 | — | 3.9 |
| Electronics stores | 6 | — | 3.8 |
| Grocery stores and supermarkets | 10 | — | 3.8 |
| Health and medical | 7 | — | 4.3 |
| Hospitals | 6 | — | 3.9 |
| Office supplies and stationery stores | 7 | — | 3.2 |
| Pharmacies and drug stores | 5 | — | 3.4 |
| Restaurants | 7 | — | 4.1 |
| Shopping | 92 | 27.7 years | 3.9 |
| Shopping other | 7 | — | 3.9 |
| Sports and recreation | 40 | — | — |
| Wholesale of machinery | 5 | — | 4 |
Business distribution by price for Postal Code 72016-000 - 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 72016-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 72016-000 | 30,377 tn | 4.41 tn | 6,715.4 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 72016-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 30,377 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.41 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 6,715.4 tons/km² |
Postal Code Extensions (51)
About Our Data
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