Industries
Business Distribution by Industry in Canossa
Canossa Facts
| Area | 61.1 km² |
| Population | 3,826 |
| Male Population | 1,960 (51.2%) |
| Female Population | 1,866 (48.8%) |
| Population change (1975 to 2020) | +46.0% |
| Population change (2000 to 2020) | +14.3% |
| Median Age | 40.8 years (Male: 41, Female: 40.6) |
| Local Time | |
| Timezone | Central European Summer Time |
| Lat & Lng | 44.57546, 10.45539 |
| Postal Codes | 42026 |
Map of Canossa
Interactive Map
Canossa Population
Years 1975 to 2020
| Data | 1975 | 1990 | 2000 | 2015 | 2020 |
|---|---|---|---|---|---|
| Population | 2,621 | 3,085 | 3,348 | 3,877 | 3,826 |
| Population Density | 42.9 / km² | 50.5 / km² | 54.8 / km² | 63.4 / km² | 62.6 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Canossa Population change from 2000 to 2015
Increase of 15.8% from year 2000 to 2015
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Canossa | +47.9% | +25.7% | +15.8% |
| Italy | +8.3% | +4.9% | +4.7% |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Canossa Median Age
Median Age: 40.8 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Canossa | 40.8 yrs | 40.6 yrs | 41 yrs |
| Italy | 40.9 yrs | 41.5 yrs | 40.3 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Canossa Population Density
Population Density: 62.6 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Canossa | 3,826 | 61.1 km² | 62.6 / km² |
| Italy | 59.3 million | 301,510.7 km² | 197 / km² |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Canossa 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.
Price Distribution
Business distribution by price for Canossa
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
Canossa CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Canossa | 31,759 tn | 8.3 tn | 519.6 tons/km² |
| Italy | 399,008,505 tn | 6.73 tn | 1,323.4 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
Canossa CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 31,759 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 8.3 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 519.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Flood | Medium (4) |
| Earthquake | Medium (6) |
| Landslide | Medium (6) |
* 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, and Norwegian Geotechnical Institute - NGI. 2005. Global Landslide Hazard Distribution. Palisades, NY: NASA Socioeconomic Data and Applications Center (SEDAC). https://doi.org/10.7927/H4P848VZ.
- 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 |
|---|---|---|---|---|---|---|
| 12/28/08 | 6:37 AM | 3 | 8.4 km | 20,000 m | northern Italy | usgs.gov |
| 12/27/08 | 1:23 PM | 3.1 | 7.1 km | 20,000 m | northern Italy | usgs.gov |
| 12/27/08 | 12:00 PM | 3.1 | 15.9 km | 20,000 m | northern Italy | usgs.gov |
| 12/26/08 | 5:05 PM | 3.5 | 15 km | 5,300 m | northern Italy | usgs.gov |
| 12/26/08 | 12:31 PM | 3.3 | 15.2 km | 20,000 m | northern Italy | usgs.gov |
| 12/26/08 | 1:30 AM | 3.3 | 9.4 km | 14,200 m | northern Italy | usgs.gov |
| 12/25/08 | 10:38 AM | 3 | 4.8 km | 20,000 m | northern Italy | usgs.gov |
| 12/25/08 | 3:08 AM | 4 | 10 km | 28,900 m | northern Italy | usgs.gov |
| 12/24/08 | 9:38 PM | 3 | 9.3 km | 12,000 m | northern Italy | usgs.gov |
| 12/24/08 | 5:37 PM | 3.2 | 3.1 km | 20,000 m | northern Italy | usgs.gov |
Source: U.S. Geological Survey (USGS)
Canossa
Canossa is a comune and castle town in the Province of Reggio Emilia, Emilia-Romagna, northern Italy. It is the site where Holy Roman Emperor Henry IV did penance in 1077, standing three days bare-headed in the snow, in order to reverse his excommuni..
Canossa 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.