Categories in Verbania
Industries
Business Distribution by Industry in Verbania
| Industry Description | Number of Establishments | Average Age of Business |
|---|---|---|
| Shopping | 147 | 66 years |
| Restaurants | 135 | — |
| Corporate management | 115 | — |
| Other accommodation | 100 | — |
| Bars, pubs and taverns | 97 | — |
| Real estate | 76 | — |
| Lawyers legal | 74 | — |
| Clothing stores | 65 | — |
| Construction of buildings | 57 | — |
| Health and medical | 51 | — |
| Electronics stores | 48 | — |
| Technical construction services | 45 | — |
| Grocery stores and supermarkets | 44 | — |
| Beauty salons | 44 | — |
| Hairdressers | 41 | — |
| Automotive | 41 | — |
Verbania Facts
| Area | 45.5 km² |
| Population | 27,822 |
| Male Population | 13,540 (48.7%) |
| Female Population | 14,282 (51.3%) |
| Population change (1975 to 2020) | -9.3% |
| Population change (2000 to 2020) | -7.3% |
| Median Age | 43.8 years (Male: 42.9, Female: 44.6) |
| GDP per capita (PPP) | $35,166 (2022) |
| Neighborhoods | Intra, Duomo, Selva, Lambrate, Pallanza |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 45.92136, 8.55183 |
| Postal Codes | 28921, 28922, 28924, 28925 |
Map of Verbania
Interactive Map
Verbania Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 30,658 | 30,759 | 30,016 | 29,783 | 27,822 | 26,190 | 24,548 |
| Population Density | 673.8 / km² | 676 / km² | 659.7 / km² | 654.6 / km² | 611.5 / km² | 575.6 / km² | 539.5 / km² |
Verbania Population change from 2000 to 2020
Decrease of 7.3% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Verbania | -9.3% | -9.5% | -7.3% |
| Italy | — | — | — |
Verbania Median Age
Median Age: 43.8 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Verbania | 43.8 yrs | 44.6 yrs | 42.9 yrs |
| Italy | 40.9 yrs | 41.5 yrs | 40.3 yrs |
Verbania Population Density
Population Density: 612 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Verbania | 27,822 | 45.5 km² | 612 / km² |
| Italy | 59.3 million | 301,510.7 km² | 197 / km² |
Verbania Historical and Projected Population
Estimated Population from 0 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.
Postal Codes
Percentage of businesses by Postal Codes in Verbania
Price Distribution
Business distribution by price for Verbania
Human Development Index (HDI)
Statistic composite index of life expectancy, education, and per capita income.
Verbania Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $30,689 | $32,644 | $36,051 | $37,918 | $34,920 | $33,577 | $31,084 | $35,166 |
| Total GDP | $768.3M | $812.7M | $893.2M | $963.7M | $915.6M | $857.5M | $739.9M | $817.5M |
Verbania CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Verbania | 219,849 tn | 7.9 tn | 4,831.8 tons/km² |
| Italy | 399,008,505 tn | 6.73 tn | 1,323.4 tons/km² |
| 2013 CO2 emissions (tonnes/year) | 219,849 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 7.9 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 4,831.8 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | High (10) |
| Earthquake | 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.
- Center for Hazards and Risk Research - CHRR - Columbia University, Center for International Earth Science Information Network - CIESIN - Columbia University. 2005. Global Earthquake Hazard Distribution - Peak Ground Acceleration. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4BZ63ZS.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 10/24/16 | 2:44 PM | 4.4 | 93.6 km | 5,760 m | 6km NW of Leukerbad, Switzerland | usgs.gov |
| 1/8/11 | 11:32 PM | 3 | 84.5 km | 4,700 m | Switzerland | usgs.gov |
| 4/4/10 | 9:16 PM | 3.6 | 81 km | 7,100 m | northern Italy | usgs.gov |
| 9/17/07 | 6:43 PM | 3.3 | 88.6 km | 36,000 m | northern Italy | usgs.gov |
| 11/8/06 | 2:19 PM | 3 | 71.2 km | 0 m | Switzerland | usgs.gov |
| 3/18/06 | 10:49 PM | 3 | 87.5 km | 3,000 m | Switzerland | usgs.gov |
| 11/20/05 | 10:48 AM | 4 | 65.7 km | 34,500 m | northern Italy | usgs.gov |
| 11/20/05 | 2:59 AM | 3.3 | 59.9 km | 14,900 m | northern Italy | usgs.gov |
| 7/5/05 | 12:33 PM | 3.5 | 93.1 km | 5,000 m | northern Italy | usgs.gov |
| 5/19/05 | 5:16 PM | 3.3 | 27.4 km | 10,000 m | northern Italy | usgs.gov |
Verbania
Verbania [verˈbaːnja] listen (Lombard: Verbania, Piedmontese: Verbania) is the most populous comune (municipality) and the capital city of the province of Verbano-Cusio-Ossola in the Piedmont region of northwest Italy. It is situated on the shore o..
Verbania 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.


