Categories in Sarandi
Industries
Business Distribution by Industry in Sarandi
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 652 | 28 years |
| Clothing stores | 452 | 26 years |
| Restaurants | 419 | — |
| Car repair | 378 | 27 years |
| Grocery stores and supermarkets | 316 | — |
| Beauty salons | 214 | — |
| Car parts | 200 | 26 years |
| Hardware store | 196 | 31 years |
| Furniture stores | 184 | 24 years |
| Pharmacies and drug stores | 178 | 29 years |
| Wholesale of construction supplies | 170 | 27 years |
| Freight/commercial transport | 168 | — |
| Bars, pubs and taverns | 156 | — |
| Religion | 153 | 36 years |
| Corporate management | 149 | 21 years |
| All food and beverage | 146 | 42 years |
| Construction of buildings | 146 | 28 years |
| Education | 144 | — |
| Electronics stores | 137 | 23 years |
Sarandi Facts
| Area | 22.1 km² |
| Population | 93,534 |
| Male Population | 45,951 (49.1%) |
| Female Population | 47,583 (50.9%) |
| Population change (1975 to 2020) | +138.6% |
| Population change (2000 to 2020) | +29.1% |
| Median Age | 29.7 years (Male: 29, Female: 30.4) |
| Neighborhoods | Centro, Jardim Panorama, Jardim Europa, Jardim Independencia, Jardim Independencia II |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -23.44361, -51.87389 |
| Postal Codes | 85652, 87110, 87111, 87112, 87113, More |
Map of Sarandi
Interactive Map
Sarandi Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 39,201 | 59,337 | 72,436 | 89,371 | 93,534 |
| Population Density | 1,771.8 / km² | 2,681.9 / km² | 3,273.9 / km² | 4,039.4 / km² | 4,227.5 / km² |
Sarandi Population change from 2000 to 2015
Increase of 23.4% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Sarandi | +128% | +50.6% | +23.4% |
| Paraná (state) | +72.5% | +28.8% | +13.1% |
| Brazil | +91.5% | +38.1% | +18.2% |
Sarandi Median Age
Median Age: 29.7 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Sarandi | 29.7 yrs | 30.4 yrs | 29 yrs |
| Paraná (state) | 30.7 yrs | 31.5 yrs | 29.9 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Sarandi Population Density
Population Density: 4,228 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Sarandi | 93,534 | 22.1 km² | 4,228 / km² |
| Paraná (state) | 11.2 million | 199,307.9 km² | 56.1 / km² |
| Brazil | 206.1 million | 8,479,487.1 km² | 24.3 / km² |
Sarandi Historical and Projected Population
Estimated Population from 1920 to 2100
- 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 Sarandi
Percentage of businesses by neighborhood in Sarandi
Area Codes
Percentage Area Codes used by businesses in Sarandi
Postal Codes
Percentage of businesses by Postal Codes in Sarandi
Price Distribution
Business distribution by price for Sarandi
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Sarandi CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Sarandi | 286,349 tn | 3.06 tn | 12,942.3 tons/km² |
| Paraná (state) | 35,506,379 tn | 3.17 tn | 178.1 tons/km² |
| Brazil | 561,829,904 tn | 2.73 tn | 66.3 tons/km² |
| 2013 CO2 emissions (tonnes/year) | 286,349 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.06 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 12,942.3 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (4) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
- 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.

