Categories in Itapeva
Industries
Business Distribution by Industry in Itapeva
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 543 | 29 years |
| Restaurants | 422 | 20 years |
| Clothing stores | 341 | 25 years |
| Grocery stores and supermarkets | 293 | 25 years |
| Car parts | 183 | 33 years |
| Car repair | 180 | 25 years |
| Shopping other | 177 | — |
| Wholesale of construction supplies | 169 | 31 years |
| Education | 166 | 28 years |
| Corporate management | 163 | 19 years |
| Freight/commercial transport | 160 | 28 years |
| Pharmacies and drug stores | 158 | 28 years |
| Religion | 157 | 46 years |
| Electronics stores | 139 | 21 years |
| Public administration | 133 | — |
| Hardware store | 132 | 21 years |
| Health and medical | 129 | — |
| Churches | 122 | — |
| Lawyers legal | 120 | — |
Itapeva Facts
| Area | 35.6 km² |
| Population | 79,310 |
| Male Population | 38,541 (48.6%) |
| Female Population | 40,769 (51.4%) |
| Population change (1975 to 2020) | +64.7% |
| Population change (2000 to 2020) | +11.8% |
| Median Age | 29.3 years (Male: 28.3, Female: 30.2) |
| Neighborhoods | Centro, Jardim Maringa, Vila Bom Jesus, Vila Ophelia, Vila Nova |
| Local Time | |
| Timezone | Brasilia Standard Time |
| Lat & Lng | -23.98222, -48.87556 |
| Postal Codes | 18400, 18401, 18402, 18403, 18404, More |
Map of Itapeva
Interactive Map
Itapeva Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 48,167 | 63,610 | 70,930 | 76,347 | 79,310 |
| Population Density | 1,354.4 / km² | 1,788.7 / km² | 1,994.5 / km² | 2,146.8 / km² | 2,230.2 / km² |
Itapeva Population change from 2000 to 2015
Increase of 7.6% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Itapeva | +58.5% | +20% | +7.6% |
| São Paulo (state) | +90.7% | +35.9% | +16.4% |
| Brazil | +91.5% | +38.1% | +18.2% |
Itapeva Median Age
Median Age: 29.3 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Itapeva | 29.3 yrs | 30.2 yrs | 28.3 yrs |
| São Paulo (state) | 31.5 yrs | 32.4 yrs | 30.4 yrs |
| Brazil | 29.5 yrs | 30.3 yrs | 28.7 yrs |
Itapeva Population Density
Population Density: 2,230 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Itapeva | 79,310 | 35.6 km² | 2,230 / 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 |
Itapeva Historical and Projected Population
Estimated Population from 1870 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 Itapeva
Percentage of businesses by neighborhood in Itapeva
Area Codes
Percentage Area Codes used by businesses in Itapeva
Postal Codes
Percentage of businesses by Postal Codes in Itapeva
Price Distribution
Business distribution by price for Itapeva
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Itapeva CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Itapeva | 249,386 tn | 3.14 tn | 7,012.6 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 |
| 2013 CO2 emissions (tonnes/year) | 249,386 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 3.14 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 7,012.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (9) |
* 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.


