Categories in Panambi
Auto Bodywork MechanicAuto Electrical ServiceAuto Parts StoreBody repairCar Accessories StoreCar Battery StoreCar & Light Vehicle DealershipsCar rentalCar repairCar Repair and MaintenanceCar WashGas StationNew car dealersOil Change ServiceUsed car dealersAgricultural CooperativeAgricultural Machinery ManufacturerAgricultural ProductionAgricultural wholesaleBeverage SupplierCommercial PrinterDairy FarmDressmakerFarm Equipment SupplierFarmingFarming and Cattle RaisingFurniture MakerHandicraftHydraulic Equipment SupplierImport Export CompanyIndustrial Equipment SupplierKnitwear ManufacturerLiquefied Petroleum GasLumber StoreMachine MaintenanceMachining ManufacturerMarble SupplierPharmaceutical CompanyPlastic Fabrication CompanyProduce WholesalerScreen PrinterSolar Energy Equipment SupplierSpecific Product ManufacturingTimber TradeChildren and baby clothingClothing storesDesigner Clothing StoreFashion Accessories StoreJewelers and watchesLingerie Store
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Industries
Business Distribution by Industry in Panambi
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 291 | 28 years |
| Restaurants | 179 | — |
| Clothing stores | 176 | 22 years |
| Corporate management | 136 | 31 years |
| Grocery stores and supermarkets | 125 | — |
| Car repair | 120 | 30 years |
| Electronics stores | 102 | 24 years |
| Education | 81 | — |
| Beauty salons | 80 | — |
| Pharmacies and drug stores | 65 | — |
| Construction of buildings | 64 | 28 years |
| Religion | 63 | 39 years |
| Car parts | 61 | 28 years |
| Hardware store | 58 | 24 years |
Panambi Facts
| Area | 32.1 km² |
| Population | 36,613 |
| Male Population | 18,222 (49.8%) |
| Female Population | 18,391 (50.2%) |
| Population change (1975 to 2020) | +124.8% |
| Population change (2000 to 2020) | +19.5% |
| Median Age | 30.7 years (Male: 29.5, Female: 31.9) |
| GDP per capita (PPP) | $12,048 (2022) |
| Neighborhoods | Centro, Érica, Arco-Íris, Piratini, Morro Grosse |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -28.29250, -53.50167 |
| Postal Codes | 98280 |
Map of Panambi
Interactive Map
Panambi Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 16,286 | 24,914 | 30,641 | 38,204 | 36,613 | 36,363 | 36,273 |
| Population Density | 507.9 / km² | 777 / km² | 955.7 / km² | 1,191.5 / km² | 1,141.9 / km² | 1,134.1 / km² | 1,131.3 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPanambi Population change from 2000 to 2020
Increase of 19.5% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Panambi | +124.8% | +47% | +19.5% |
| Rio Grande do Sul | — | — | — |
| Brazil | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Panambi Median Age
Median Age: 30.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Panambi | 30.7 yrs | 31.9 yrs | 29.5 yrs |
| Rio Grande do Sul | 32.9 yrs | 34.1 yrs | 31.8 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Panambi Population Density
Population Density: 1,142 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Panambi | 36,613 | 32.1 km² | 1,142 / km² |
| Rio Grande do Sul | 11.2 million | 268,766.5 km² | 41.7 / 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
Panambi Historical and Projected Population
Estimated Population from 1860 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 Panambi
Percentage of businesses by neighborhood in Panambi
Price Distribution
Business distribution by price for Panambi
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
Panambi Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $9,867 | $12,442 | $12,097 | $13,566 | $15,628 | $12,427 | $14,391 | $12,048 |
| Total GDP | $153M | $203.2M | $209M | $256.8M | $312.4M | $255.7M | $299.3M | $249.9M |
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
Panambi CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Panambi | 140,560 tn | 3.84 tn | 4,383.9 tons/km² |
| Rio Grande do Sul | 37,971,816 tn | 3.39 tn | 141.3 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
Panambi CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 140,560 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.84 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 4,383.9 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.