Categories in Palmital
Auto Parts StoreCar repairCar Repair and MaintenanceCar WashGas StationOil Change ServiceTire ShopBeverage SupplierFactoryFarmingFarming and Cattle RaisingLiquefied Petroleum GasPharmaceutical CompanyTimber TradeChildren and baby clothingClothing storesFashion Accessories StoreShoe storesWomen's clothingInternet Service ProviderTelecommunications Service ProviderAssociation or OrganizationChapelChristian ChurchChurchesCity or Town HallEvangelical ChurchGovernment OfficeRegistration OfficeReligionReligious OrganizationElectronics StoreBuilding Materials StoreElectric Utility CompanyHome Goods StoreHousing DevelopmentPaint StoreEducationEducational InstitutionEducation CenterElementary SchoolHigh SchoolPilates StudioGraphic DesignerTourist AttractionBakeriesBars, pubs and tavernsBurger restaurantsCafesCocktail Bar
Showing 1-50 of 114
Industries
Business Distribution by Industry in Palmital
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 142 | 38 years |
| Clothing stores | 116 | — |
| Restaurants | 108 | — |
| Grocery stores and supermarkets | 62 | — |
| Churches | 56 | — |
| Pharmacies and drug stores | 50 | — |
| Electronics stores | 48 | — |
| Car repair | 47 | — |
| Bars, pubs and taverns | 41 | — |
| Car parts | 40 | — |
| Gas station | 40 | — |
| Freight/commercial transport | 39 | — |
| Public administration | 39 | — |
| Corporate management | 37 | — |
| Education | 35 | — |
| Lawyers legal | 32 | — |
| All food and beverage | 32 | — |
| Bakeries | 31 | — |
| Religion | 31 | — |
| All membership organizations | 30 | — |
Palmital Facts
| Area | 6.2 km² |
| Population | 19,766 |
| Male Population | 9,566 (48.4%) |
| Female Population | 10,200 (51.6%) |
| Population change (1975 to 2020) | +38.5% |
| Population change (2000 to 2020) | +1.4% |
| Median Age | 35.3 years (Male: 34.2, Female: 36.5) |
| GDP per capita (PPP) | $29,551 (2022) |
| Neighborhoods | Centro, Paraná, Palmital, centro, Zona Rural |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -22.78889, -50.21750 |
| Postal Codes | 19970 |
Map of Palmital
Interactive Map
Palmital Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 14,267 | 18,012 | 19,492 | 20,057 | 19,766 | 20,105 | 20,567 |
| Population Density | 2,305.8 / km² | 2,911 / km² | 3,150.2 / km² | 3,241.5 / km² | 3,194.5 / km² | 3,249.3 / km² | 3,324 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPalmital Population change from 2000 to 2020
Increase of 1.4% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Palmital | +38.5% | +9.7% | +1.4% |
| São Paulo (state) | — | — | — |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Palmital Median Age
Median Age: 35.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Palmital | 35.3 yrs | 36.5 yrs | 34.2 yrs |
| São Paulo (state) | 31.5 yrs | 32.4 yrs | 30.4 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Palmital Population Density
Population Density: 3,195 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Palmital | 19,766 | 6.2 km² | 3,195 / km² |
| São Paulo (state) | 44.6 million | 248,223.6 km² | 180 / 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
Palmital Historical and Projected Population
Estimated Population from 1840 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 in Palmital
Percentage of businesses by neighborhood in Palmital
Area Codes
Percentage Area Codes used by businesses in Palmital
Postal Codes
Percentage of businesses by Postal Codes in Palmital
Price Distribution
Business distribution by price for Palmital
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
Palmital Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $24,912 | $29,048 | $23,596 | $24,777 | $29,544 | $29,783 | $28,165 | $29,551 |
| Total GDP | $483.4M | $591M | $491.7M | $529M | $628.7M | $635.6M | $619M | $654.1M |
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
Palmital CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Palmital | 68,663 tn | 3.47 tn | 11,097 tons/km² |
| São Paulo (state) | 156,280,136 tn | 3.51 tn | 629.6 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
Palmital CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 68,663 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.47 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 11,097 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.
Sources:
- Dilley, M., R.S. Chen, U. Deichmann, A.L. Lerner-Lam, M. Arnold, J. Agwe, P. Buys, O. Kjekstad, B. Lyon, and G. Yetman. 2005. Natural Disaster Hotspots: A Global Risk Analysis. Washington, D.C.: World Bank. https://doi.org/10.1596/0-8213-5930-4.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Flood Hazard Frequency and Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4668B3D.
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.