Postal Code 15804-000 - Brazil
Brazil
| Area of Postal Code 15804-000 | 109.2 km² |
| Population | 12,256 |
| Male Population | 5,887 (48.0%) |
| Female Population | 6,369 (52.0%) |
| Population change from 1975 to 2020 | +58.2% |
| Population change from 2000 to 2020 | +6.1% |
| Median Age | 38 years |
| Male Median Age | 35.7 years |
| Female Median Age | 40.1 years |
| Area Codes | 19 |
| Postal Code Extensions | 15804-000, 15804-005, 15804-006, 15804-010, 15804-015, 15804-020, 15804-025, 15804-030, 15804-035, 15804-040 More |
| Associated Cities | Campinas, Catanduva |
| Neighborhoods | Higienópolis, Jardim Salles, Jardim São Benedito, Residencial Maria Luiza Peres de Faria, Vila Bela, Vila Mota |
| Timezone | Brasilia Standard Time |
| Coordinates | -21.071692883813377° / -48.933347110413095° |
| Related Postal Codes | 15800-000, 15801-000, 15802-000, 15803-000, 15805-000, 15806-000, 15807-000, 15808-000, 15809-000, 15810-000 |
Map of Postal Code 15804-000 - Brazil
Interactive Map
Postal Code 15804-000 - Brazil Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 7,745 | 10,167 | 11,553 | 12,672 | 12,256 | 12,520 | 12,849 |
| Population Density | 70.9 / km² | 93.1 / km² | 105.8 / km² | 116.1 / km² | 112.2 / km² | 114.7 / km² | 117.7 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 15804-000 - Brazil Population change from 2000 to 2020
Increase of 6.1% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 15804-000 - Brazil | +58.2% | +20.5% | +6.1% |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 15804-000 - Brazil Median Age
Median Age: 38 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 15804-000 - Brazil | 38 yrs | 40.1 yrs | 35.7 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 15804-000 Population Density
Population Density: 112 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 15804-000 | 12,256 | 109.2 km² | 112 / 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 15804-000 - Brazil Historical and Projected Population
Estimated Population from 0 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 15804-000 - Brazil
Industries
Business Distribution by Industry in Postal Code 15804-000 - Brazil
| Industry Description | Number of Establishments |
|---|---|
| All food and beverage | 13 |
| Beauty salons | 17 |
| Car repair | 14 |
| Clothing stores | 29 |
| Corporate management | 19 |
| Education | 16 |
| Electronics stores | 12 |
| Grocery stores and supermarkets | 19 |
| Pharmacies and drug stores | 14 |
| Religion | 24 |
| Restaurants | 26 |
| Shopping | 49 |
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 15804-000 - Brazil Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $15,481 | $16,399 | $17,010 | $18,909 | $26,416 | $25,719 | $21,541 | $24,690 |
| Total GDP | $1.2B | $1.4B | $1.5B | $1.5B | $2.2B | $2.2B | $2B | $2.2B |
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 15804-000 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 15804-000 | 50,863 tn | 4.15 tn | 465.8 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 15804-000 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 50,863 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.15 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 465.8 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (8) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Postal Code Extensions (104)
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.