Postal Code 13566-000 - Brazil
Brazil
| Area of Postal Code 13566-000 | 76.8 km² |
| Population | 15,114 |
| Male Population | 7,326 (48.5%) |
| Female Population | 7,788 (51.5%) |
| Population change from 1975 to 2015 | +116.2% |
| Population change from 2000 to 2015 | +19.7% |
| Median Age | 36.1 years |
| Male Median Age | 34.3 years |
| Female Median Age | 37.8 years |
| Area Codes | 11 |
| Postal Code Extensions | 13566-000, 13566-010, 13566-020, 13566-030, 13566-040, 13566-050, 13566-060, 13566-070, 13566-080, 13566-180 More |
| Associated Cities | São Paulo, São Carlos, Brás |
| Neighborhoods | Centro, Cidade Jardim, Parque Arnold Schimidt, Vila Brasilia, Vila Celina, Vila Costa do Sol, Vila Marina |
| Timezone | Brasilia Standard Time |
| Coordinates | -21.989396916657928° / -47.88159078101638° |
| Related Postal Codes | 13537-000, 13560-000, 13561-000, 13562-000, 13563-000, 13564-000, 13565-000, 13567-000, 13568-000, 13569-000 |
Map of Postal Code 13566-000 - Brazil
Interactive Map
Postal Code 13566-000 - Brazil Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 6,992 | 10,573 | 12,626 | 15,114 | 15,699 |
| Population Density | 91 / km² | 137.6 / km² | 164.3 / km² | 196.7 / km² | 204.3 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 13566-000 - Brazil Population change from 2000 to 2015
Increase of 19.7% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 13566-000 - Brazil | +116.2% | +42.9% | +19.7% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 13566-000 - Brazil Median Age
Median Age: 36.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 13566-000 - Brazil | 36.1 yrs | 37.8 yrs | 34.3 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 13566-000 Population Density
Population Density: 197 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 13566-000 | 15,114 | 76.8 km² | 197 / 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 13566-000 - Brazil Historical and Projected Population
Estimated Population from 1890 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 13566-000 - Brazil
Business Concentration in Postal Code 13566-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 13566-000 - Brazil
| Industry Description | Number of Establishments |
|---|---|
| Apartments | 44 |
| Bars, pubs and taverns | 42 |
| Car repair | 74 |
| Clothing stores | 40 |
| Corporate management | 41 |
| Education | 85 |
| Gas station | 34 |
| Grocery stores and supermarkets | 32 |
| Higher education (colleges and universities) | 88 |
| Other accommodation | 71 |
| Real estate | 28 |
| Restaurants | 101 |
| Shopping | 76 |
Business distribution by price for Postal Code 13566-000 - 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 13566-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 13566-000 | 69,024 tn | 4.57 tn | 898.2 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 13566-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 69,024 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.57 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 898.2 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (9) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Postal Code Extensions (110)
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.