Postal Code 15801-000 - Brazil
Brazil
| Area of Postal Code 15801-000 | 2.468 km² |
| Population | 10,561 |
| Male Population | 4,872 (46.1%) |
| Female Population | 5,689 (53.9%) |
| Population change from 1975 to 2015 | +62.1% |
| Population change from 2000 to 2015 | +8.5% |
| Median Age | 39.1 years |
| Male Median Age | 35.9 years |
| Female Median Age | 41.8 years |
| Area Codes | 11 |
| Postal Code Extensions | 15801-000, 15801-005, 15801-010, 15801-020, 15801-030, 15801-040, 15801-050, 15801-060, 15801-070, 15801-075 More |
| Associated Cities | São Paulo, Catanduva |
| Neighborhoods | Centro, Jardim Amêndola, Jardim do Lago, Vila Maria Jorge, Vila Rodrigues |
| Timezone | Brasilia Standard Time |
| Coordinates | -21.141559640488985° / -48.983555125172416° |
| Related Postal Codes | 15800-000, 15802-000, 15803-000, 15804-000, 15805-000, 15806-000, 15807-000, 15808-000, 15809-000, 15810-000 |
Map of Postal Code 15801-000 - Brazil
Interactive Map
Postal Code 15801-000 - Brazil Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 6,517 | 8,648 | 9,732 | 10,561 | 11,012 |
| Population Density | 2,640.8 / km² | 3,504.4 / km² | 3,943.6 / km² | 4,279.6 / km² | 4,462.3 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 15801-000 - Brazil Population change from 2000 to 2015
Increase of 8.5% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 15801-000 - Brazil | +62.1% | +22.1% | +8.5% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 15801-000 - Brazil Median Age
Median Age: 39.1 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 15801-000 - Brazil | 39.1 yrs | 41.8 yrs | 35.9 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 15801-000 Population Density
Population Density: 4,280 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 15801-000 | 10,561 | 2.468 km² | 4,280 / 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 15801-000 - Brazil Historical and Projected Population
Estimated Population from 1880 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 15801-000 - Brazil
Business Concentration in Postal Code 15801-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 15801-000 - Brazil
| Industry Description | Number of Establishments | Average Age of Business | Average Google Rating |
|---|---|---|---|
| All food and beverage | 11 | — | 4.5 |
| Automotive | 6 | — | 4.4 |
| Banks | 7 | — | 4.6 |
| Bars, pubs and taverns | 5 | — | 4.8 |
| Beauty salons | 12 | — | 4.9 |
| Car parts | 12 | — | 4.4 |
| Car repair | 17 | — | 4.4 |
| Churches | 8 | — | 3.6 |
| Clothing stores | 18 | 32.5 years | 4.7 |
| Construction of buildings | 6 | — | 3.5 |
| Dentists | 9 | — | 4.9 |
| Education | 13 | — | 4.5 |
| Electronics stores | 11 | — | 4.6 |
| Furniture stores | 6 | — | 4.3 |
| Gas station | 8 | — | 4.1 |
| Grocery stores and supermarkets | 8 | — | 4.2 |
| Hairdressers | 8 | — | 4.8 |
| Hardware store | 9 | — | 4.3 |
| Health and medical | 39 | — | 4.7 |
| Hospitals | 12 | — | 3.6 |
| Household appliances and goods | 8 | — | 4.3 |
| Lawyers legal | 11 | — | 4.6 |
| Loan companies | 12 | — | 4.6 |
| New car dealers | 8 | — | 4.3 |
| Office supplies and stationery stores | 9 | — | 4.4 |
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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 15801-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 15801-000 | 39,646 tn | 3.75 tn | 16,065.4 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 15801-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 39,646 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.75 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 16,065.4 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (7) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Postal Code Extensions (70)
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.