Postal Code 92016 - Italy
Italy
| Area of Postal Code 92016 | 118.6 km² |
| Population | 17,080 |
| Male Population | 8,340 (48.8%) |
| Female Population | 8,740 (51.2%) |
| Population change from 1975 to 2020 | -27.8% |
| Population change from 2000 to 2020 | -16.0% |
| Median Age | 40.2 years |
| Male Median Age | 38.9 years |
| Female Median Age | 41.5 years |
| Timezone | Central European Summer Time |
| Coordinates | 37.46676879036429° / 13.288415969496528° |
| Related Postal Codes | 92010, 92011, 92012, 92013, 92014, 92015, 92017, 92018, 92019, 92023 |
Map of Postal Code 92016 - Italy
Interactive Map
Postal Code 92016 - Italy Population
Years 1975 to 2030
| Data | 1975 | 1990 | 2000 | 2015 | 2020 | 2025* | 2030* |
|---|---|---|---|---|---|---|---|
| Population | 23,662 | 21,918 | 20,332 | 18,571 | 17,080 | 15,997 | 14,927 |
| Population Density | 199.5 / km² | 184.8 / km² | 171.4 / km² | 156.6 / km² | 144 / km² | 134.9 / km² | 125.8 / km² |
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up gridPostal Code 92016 - Italy Population change from 2000 to 2020
Decrease of 16% from year 2000 to 2020
| Location | Change since 1975 | Change since 1990 | Change since 2000 |
|---|---|---|---|
| Postal Code 92016 - Italy | -27.8% | -22.1% | -16% |
| Italy | — | — | — |
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
Postal Code 92016 - Italy Median Age
Median Age: 40.2 years
| Location | Median Age | Median Age (Female) | Median Age (Male) |
|---|---|---|---|
| Postal Code 92016 - Italy | 40.2 yrs | 41.5 yrs | 38.9 yrs |
| Italy | 40.9 yrs | 41.5 yrs | 40.3 yrs |
Sources: CIESIN (Center for International Earth Science Information Network)
Postal Code 92016 Population Density
Population Density: 144 / km²
| Location | Population | Area | Density |
|---|---|---|---|
| Postal Code 92016 | 17,080 | 118.6 km² | 144 / 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
Postal Code 92016 - Italy 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.
Area Codes
Percentage Area Codes used by businesses in Postal Code 92016 - Italy
Business Concentration in Postal Code 92016 - Italy

Industries
Business Distribution by Industry in Postal Code 92016 - Italy
| Industry Description | Number of Establishments |
|---|---|
| All food and beverage | 58 |
| Bars, pubs and taverns | 55 |
| Beauty salons | 23 |
| Car repair | 39 |
| Clothing stores | 41 |
| Corporate management | 34 |
| Education | 25 |
| Grocery stores and supermarkets | 73 |
| Health and medical | 26 |
| Lawyers legal | 27 |
| Other accommodation | 57 |
| Restaurants | 46 |
| Shopping | 114 |
| Tractors and farm equipment | 24 |
| Travel agencies | 25 |
Business distribution by price for Postal Code 92016 - Italy
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
Postal Code 92016 - Italy Gross Domestic Product (GDP)
GDP per capita, PPP (constant 2017 international $)
| Data | 1990 | 1995 | 2000 | 2005 | 2010 | 2015 | 2020 | 2022 |
|---|---|---|---|---|---|---|---|---|
| GDP per capita | $18,802 | $19,999 | $22,087 | $24,049 | $22,388 | $21,173 | $20,558 | $23,257 |
| Total GDP | $371.7M | $388M | $417.2M | $449.6M | $415.9M | $372.9M | $334.4M | $368.8M |
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
Postal Code 92016 CO2 Emissions
Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year
| Location | CO2 Emissions | CO2 Emissions Per Capita | CO2 Emissions Intensity |
|---|---|---|---|
| Postal Code 92016 | 77,532 tn | 4.54 tn | 653.6 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
Postal Code 92016 CO2 Emissions
| 2013 CO2 emissions (tonnes/year) | 77,532 tn |
| 2013 CO2 emissions (tonnes/year) per capita | 4.54 tn |
| 2013 CO2 emissions intensity (tonnes/km²/year) | 653.6 tons/km² |
Natural Hazards Risk
Relative risk out of 10
| Hazard | Risk Level |
|---|---|
| Drought | High (8.8) |
| Earthquake | Medium (4) |
* Risk, particularly concerning flood or landslide, may not be for the entire area.
Recent Nearby Earthquakes
Magnitude 3.0 and greater
| Date▼ | Time↕ | Magnitude↕ | Distance↕ | Depth↕ | Location↕ | Link |
|---|---|---|---|---|---|---|
| 4/12/12 | 11:21 PM | 4.4 | 90.8 km | 10,000 m | Sicily, Italy | usgs.gov |
| 11/28/08 | 3:39 PM | 4.2 | 36.7 km | 34,700 m | Sicily, Italy | usgs.gov |
| 10/12/08 | 4:53 PM | 3.3 | 30.3 km | 35,100 m | Sicily, Italy | usgs.gov |
| 2/20/08 | 1:14 PM | 3.6 | 83.4 km | 33,900 m | Sicily, Italy | usgs.gov |
| 2/20/08 | 8:40 AM | 3.2 | 78 km | 34,900 m | Sicily, Italy | usgs.gov |
| 4/10/07 | 12:17 PM | 4 | 68.7 km | 21,600 m | central Mediterranean Sea | usgs.gov |
| 2/19/07 | 5:57 AM | 3.2 | 98.9 km | 30,800 m | Sicily, Italy | usgs.gov |
| 3/29/06 | 12:19 PM | 3.7 | 55 km | 5,000 m | Sicily, Italy | usgs.gov |
| 2/5/06 | 1:15 PM | 3.9 | 80.6 km | 10,000 m | central Mediterranean Sea | usgs.gov |
| 2/5/06 | 10:34 AM | 3.2 | 87.3 km | 10,000 m | central Mediterranean Sea | usgs.gov |
Showing 1-10 of 41
…
Source: U.S. Geological Survey (USGS)
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.