Painel Facts
| Area | 2.4 km² |
| Population | 915 |
| Male Population | 446 (48.8%) |
| Female Population | 469 (51.2%) |
| Population change (1975 to 2020) | +14.1% |
| Population change (2000 to 2020) | -7.8% |
| Median Age | 29 years (Male: 29.9, Female: 28.4) |
| GDP per capita (PPP) | $18,830 (2022) |
| Neighborhoods | Centro, sn, CENTRO |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -27.92889, -50.10500 |
| Postal Codes | 88543 |
Map of Painel
Interactive Map
Painel Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 802 | 954 | 992 | 961 | 915 | 929 | 956 |
| Population Density | 337.7 / km² | 401.7 / km² | 417.7 / km² | 404.6 / km² | 385.3 / km² | 391.2 / km² | 402.5 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPainel Population change from 2000 to 2020
Decrease of 7.8% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Painel | +14.1% | -4.1% | -7.8% |
| Santa Catarina (state) | — | — | — |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Painel Median Age
Median Age: 29 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Painel | 29 yrs | 28.4 yrs | 29.9 yrs |
| Santa Catarina (state) | 30.9 yrs | 31.7 yrs | 30.2 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Painel Population Density
Population Density: 385 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Painel | 915 | 2.375 km² | 385 / km² |
| Santa Catarina (state) | 6.9 million | 95,736.2 km² | 72.2 / 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
Painel 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.
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
Painel Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $8,896 | $11,634 | $11,575 | $14,114 | $15,351 | $16,622 | $17,383 | $18,830 |
| Total GDP | $19.3M | $26.9M | $27.3M | $33.1M | $35.4M | $39.1M | $42.9M | $47.2M |
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
Painel CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Painel | 2,768 tn | 3.02 tn | 1,165.3 tons/km² |
| Santa Catarina (state) | 23,862,691 tn | 3.45 tn | 249.3 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
Painel CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 2,768 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.02 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 1,165.3 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.
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.
Painel
Painel is a municipality in the state of Santa Catarina in the South region of Brazil.
Painel Wikipedia Page
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.