Postal Code 35430-000 - Brazil
Brazil
| Area of Postal Code 35430-000 | 418.4 km² |
| Population | 58,872 |
| Male Population | 28,160 (47.8%) |
| Female Population | 30,712 (52.2%) |
| Population change from 1975 to 2020 | +51.2% |
| Population change from 2000 to 2020 | +8.1% |
| 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 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 38,936 | 49,766 | 54,439 | 56,778 | 58,872 | 59,481 | 60,393 |
| Population Density | 93.1 / km² | 118.9 / km² | 130.1 / km² | 135.7 / km² | 140.7 / km² | 142.2 / km² | 144.3 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 35430-000 - Brazil Population change from 2000 to 2020
Increase of 8.1% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 35430-000 - Brazil | +51.2% | +18.3% | +8.1% |
| Brazil | — | — | — |
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: 141 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 35430-000 | 58,872 | 418.4 km² | 141 / 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 600 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 |
|---|---|---|
| All food and beverage | 1 | 38.2 years |
| Bars, pubs and taverns | 157 | — |
| Beauty salons | 108 | — |
| Car repair | 79 | 39.2 years |
| Clothing stores | 199 | 25.5 years |
| Dentists | 54 | — |
| Education | 74 | — |
| Grocery stores and supermarkets | 17 | 29.9 years |
| Lawyers legal | 1 | — |
| Pharmacies and drug stores | 5 | 36.7 years |
| Restaurants | 132 | — |
| Shopping | 72 | 32.9 years |
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 - Brazil Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $6,486 | $7,353 | $8,715 | $9,940 | $10,582 | $11,308 | $11,068 | $11,568 |
| Total GDP | $345.3M | $408.9M | $496.5M | $582.5M | $620.5M | $664M | $664.9M | $697.9M |
Source: [Link] Kummu, M., Kosonen, M. & Masoumzadeh Sayyar, S. Downscaled gridded global dataset for gross domestic product (GDP) per capita PPP over 1990–2022. Sci Data 12, 178 (2025) doi:10.1038/s41597-025-04487-x
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 | 198,591 tn | 3.37 tn | 474.6 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) | 198,591 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.37 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 474.6 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.