Postal Code 12019 - Italy

Italy
Area of Postal Code 1201961.1 km²
Population1,086
Male Population538 (49.5%)
Female Population548 (50.5%)
Population change from 1975 to 2020-44.0%
Population change from 2000 to 2020-22.2%
Median Age44 years
Male Median Age45.1 years
Female Median Age42.9 years
TimezoneCentral European Summer Time
Coordinates44.216744289489235° / 7.515245417805939°
Related Postal Codes12010, 12011, 12012, 12013, 12014, 12015, 12016, 12017, 12018, 12028

Map of Postal Code 12019 - Italy

Interactive Map

Postal Code 12019 - Italy Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population1,9401,5771,3961,1781,0861,042995
Population Density31.8 / km²25.8 / km²22.9 / km²19.3 / km²17.8 / km²17.1 / km²16.3 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 12019 - Italy Population change from 2000 to 2020

Decrease of 22.2% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Postal Code 12019 - Italy-44%-31.1%-22.2%
Italy
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 12019 - Italy Median Age

Median Age: 44 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code 12019 - Italy44 yrs42.9 yrs45.1 yrs
Italy40.9 yrs41.5 yrs40.3 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 12019 Population Density

Population Density: 17.8 / km²

LocationPopulationAreaDensity
Postal Code 120191,08661.1 km²17.8 / km²
Italy59.3 million301,510.7 km²197 / km²
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 12019 - Italy Historical and Projected Population

Estimated Population from 0 to 2100

Sources:
  1. JRC (European Commission's Joint Research Centre) work on the GHS built-up grid
  2. CIESIN (Center for International Earth Science Information Network)
  3. [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 12019 - Italy

Industries

Business Distribution by Industry in Postal Code 12019 - Italy

Industry DescriptionNumber of Establishments
Banks5
Bars, pubs and taverns8
Butcher3
Grocery stores and supermarkets7
Hotels and motels8
Public parks7
Restaurants3
Businesses307
Estimated total revenue~€10.3M
Median revenue per business~€45.5K
Estimated jobs405
Estimated payroll~€7.5M
IndustriesBusinessesTotal revenueMedianJobs
Wholesale and retail trade; repair of motor vehicles and motorcycles47~€3.9M~€70.5K132
Accommodation and food service activities52~€1.8M~€50.5K82
Arts, entertainment and recreation59~€1.6M~€37.7K78
Other service activities13~€224.4K~€26.6K19
Professional, scientific and technical activities5~€173.9K~€36.6K10

Largest businesses by estimated revenue

  1. Silver (S.R.L. — Vernante · ~€919.6K
  2. Bottero Ski Outlet — Vernante · ~€436.3K
  3. Alimentari da Mirko — San Damiano Macra · ~€419.3K
  4. Alimentari da Fabri — Vernante · ~€388.4K

See full breakdown

median from the 145 of 307 businesses with estimates Estimate based on strong signals

Postal Code 12019 - Italy — Revenue trend

Median business revenue by year

Year201920202021202220232024
Median revenue per business~€39.2K~€34.8K~€37.7K~€41.4K~€45.7K~€47.4K
Revenue modeled for the same 145 businesses across all years. Estimate based on strong signals

Business distribution by price for Postal Code 12019 - 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 12019 - Italy Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$38,005$40,425$44,645$50,700$46,520$43,940$43,931$49,699
Total GDP$548.6M$586.6M$650.4M$757.7M$718.1M$697.5M$708.5M$801.1M
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 12019 CO2 Emissions

Carbon Dioxide (CO2) Emissions Per Capita in Tonnes Per Year

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 120198,810 tn8.11 tn144.2 tons/km²
Italy399,008,505 tn6.73 tn1,323.4 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 12019 CO2 Emissions
2013 CO2 emissions (tonnes/year)8,810 tn
2013 CO2 emissions (tonnes/year) per capita8.11 tn
2013 CO2 emissions intensity (tonnes/km²/year)144.2 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (8)
EarthquakeMedium (4)
LandslideMedium (6)
* Risk, particularly concerning flood or landslide, may not be for the entire area.

Recent Nearby Earthquakes

Magnitude 3.0 and greater

DateTimeMagnitudeDistanceDepthLocationLink
7/30/161:21 PM4.283.9 km11,000 m1km W of Pinasca, Italyusgs.gov
11/5/158:03 PM3.870 km2,000 m3km NW of Jausiers, Franceusgs.gov
9/10/1512:32 AM3.172 km11,000 m0km NW of Villar Pellice, Italyusgs.gov
7/13/148:09 PM4.172.6 km2,000 m8km NNW of Jausiers, Franceusgs.gov
6/21/146:32 PM472 km2,000 m7km NNW of Jausiers, Franceusgs.gov
4/7/1412:27 PM4.877.4 km8,070 m7km SE of Guillestre, Franceusgs.gov
1/6/138:20 PM4.192.9 km7,000 mFranceusgs.gov
10/3/122:20 AM4.544 km10,000 mnorthern Italyusgs.gov
3/1/1211:15 PM4.571.3 km10,000 mFranceusgs.gov
2/27/128:31 AM4.172.7 kmFranceusgs.gov
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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.