Postal Code 35430-000 - Brazil
Brazil
| Area of Postal Code 35430-000 | 418.4 km² |
| Population | 56,835 |
| Male Population | 27,185 (47.8%) |
| Female Population | 29,650 (52.2%) |
| Population change from 1975 to 2015 | +45.7% |
| Population change from 2000 to 2015 | +4.5% |
| Median Age | 32.7 years |
| Male Median Age | 31.3 years |
| Female Median Age | 33.9 years |
| Area Codes | 19 |
| Postal Code Extensions | 35430-000, 35430-001, 35430-002, 35430-003, 35430-004, 35430-005, 35430-006, 35430-007, 35430-008, 35430-009 More |
| Associated Cities | Campinas, Ponte Nova |
| Neighborhoods | Centro, Centro Histórico, Guarapiranga, Palmeiras, Santo Antonio I, Triângulo |
| Timezone | Brasilia Standard Time |
| Coordinates | -20.416594924870388° / -42.94014320713485° |
| Related Postal Codes | 35420-000, 35421-000, 35422-000, 35431-000, 35432-000, 35435-000, 35436-000, 35437-000, 35438-000, 35439-000 |
Map of Postal Code 35430-000 - Brazil
Interactive Map
Postal Code 35430-000 - Brazil Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 39,006 | 49,776 | 54,405 | 56,835 | 59,006 |
| Population Density | 93.2 / km² | 119 / km² | 130 / km² | 135.8 / km² | 141 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 35430-000 - Brazil Population change from 2000 to 2015
Increase of 4.5% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 35430-000 - Brazil | +45.7% | +14.2% | +4.5% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 35430-000 - Brazil Median Age
Median Age: 32.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 35430-000 - Brazil | 32.7 yrs | 33.9 yrs | 31.3 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 35430-000 Population Density
Population Density: 136 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 35430-000 | 56,835 | 418.4 km² | 136 / 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 35430-000 - Brazil Historical and Projected Population
Estimated Population from 500 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 35430-000 - Brazil
Business Concentration in Postal Code 35430-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 35430-000 - Brazil
| Industry Description | Number of Establishments | Average Age of Business | Average Google Rating |
|---|---|---|---|
| Accountants | 36 | — | 5 |
| Advertising and marketing | 5 | — | 5 |
| Agricultural wholesale | 7 | — | 4.7 |
| All food and beverage | 64 | 36.5 years | 4.2 |
| All membership organizations | 13 | — | 4.6 |
| Automotive | 27 | 35 years | 4.2 |
| Bakeries | 12 | — | 4.3 |
| Banks | 6 | — | 4.1 |
| Bars, pubs and taverns | 11 | — | 4.3 |
| Beauty aids | 6 | — | 5 |
| Beauty salons | 33 | — | 4.3 |
| Candy stores | 5 | — | 4.2 |
| Car parts | 23 | 39.4 years | 4.2 |
| Car repair | 44 | 41 years | 4.3 |
| Children and baby clothing | 9 | — | 4.3 |
| Churches | 8 | — | 5 |
| Clothing stores | 76 | 26.9 years | 4.4 |
| Construction of buildings | 14 | — | 4.1 |
| Dentists | 47 | — | 4.1 |
| Department stores | 6 | — | 4 |
| Education | 68 | — | 4.3 |
| Electrical installation | 6 | — | 3 |
| Electronics stores | 17 | — | 4 |
| Fast food restaurants | 13 | — | 4.3 |
| Financial services | 7 | — | 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 35430-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 35430-000 | 191,720 tn | 3.37 tn | 458.2 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 35430-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 191,720 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.37 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 458.2 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | Low (2) |
| Flood | High (9) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Postal Code Extensions (372)
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.