Postal Code 10072 - Italy

Italy
Area of Postal Code 1007230.8 km²
Population22,213
Male Population11,139 (50.1%)
Female Population11,074 (49.9%)
Population change from 1975 to 2020+70.0%
Population change from 2000 to 2020+26.4%
Median Age40.5 years
Male Median Age40.1 years
Female Median Age40.9 years
TimezoneCentral European Summer Time
Coordinates45.17207453559983° / 7.663276989699399°
Related Postal Codes10062, 10063, 10070, 10071, 10073, 10074, 10075, 10076, 10077, 10078

Map of Postal Code 10072 - Italy

Interactive Map

Postal Code 10072 - Italy Population

Years 1975 to 2030

Data197519902000201520202025*2030*
Population13,06815,85917,57821,20322,21322,18222,259
Population Density424.4 / km²515 / km²570.9 / km²688.6 / km²721.4 / km²720.4 / km²722.9 / km²
* Projected
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 10072 - Italy Population change from 2000 to 2020

Increase of 26.4% from year 2000 to 2020

LocationChange since 1975Change since 1990Change since 2000
Postal Code 10072 - Italy+70%+40.1%+26.4%
Italy
Sources: JRC (European Commission's Joint Research Centre) work on the GHS built-up grid

Postal Code 10072 - Italy Median Age

Median Age: 40.5 years

LocationMedian AgeMedian Age (Female)Median Age (Male)
Postal Code 10072 - Italy40.5 yrs40.9 yrs40.1 yrs
Italy40.9 yrs41.5 yrs40.3 yrs
Sources: CIESIN (Center for International Earth Science Information Network)

Postal Code 10072 Population Density

Population Density: 721 / km²

LocationPopulationAreaDensity
Postal Code 1007222,21330.8 km²721 / 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 10072 - 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.
Business Concentration in Postal Code 10072 - Italy
Business Concentration in Postal Code 10072 - Italy

Industries

Business Distribution by Industry in Postal Code 10072 - Italy

Businesses3,388
Estimated total revenue~€287.4M
Median revenue per business~€88.2K
Estimated jobs6,771
Estimated payroll~€130.6M
IndustriesBusinessesTotal revenueMedianJobs
Wholesale and retail trade; repair of motor vehicles and motorcycles640~€107.3M~€120.1K2,125
Administrative and support service activities92~€28.2M~€180.7K287
Transportation and storage193~€25.4M~€128.9K562
Professional, scientific and technical activities180~€22.6M~€98.0K534
Accommodation and food service activities275~€19.1M~€69.7K814
Manufacturing95~€18.0M~€174.4K374
Construction142~€14.4M~€128.6K316
Human health and social work activities110~€9.7M~€65.2K333

Largest businesses by estimated revenue

  1. Bennet — Caselle Torinese · ~€4.7M
  2. Sicily by Car — Caselle Torinese · ~€4.2M
  3. Caselle Center — Caselle Torinese · ~€3.2M
  4. Locauto — Caselle Torinese · ~€2.6M
  5. Autovia — Caselle Torinese · ~€2.5M

See full breakdown

median from the 1,548 of 3,388 businesses with estimates Estimate based on strong signals

Postal Code 10072 - Italy — Revenue trend

Median business revenue by year

Year201920202021202220232024
Median revenue per business~€74.0K~€67.6K~€76.1K~€81.7K~€88.8K~€91.0K
Revenue modeled for the same 1,548 businesses across all years. Estimate based on strong signals

Business distribution by price for Postal Code 10072 - 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 10072 - Italy Gross Domestic Product (GDP)

GDP per capita, PPP (constant 2017 international $)

Data19901995200020052010201520202022
GDP per capita$41,799$44,460$49,101$48,875$46,310$43,739$42,337$47,896
Total GDP$1.8B$1.9B$2.2B$2.3B$2.3B$2.3B$2.2B$2.5B
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 10072 CO2 Emissions

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

LocationCO2 EmissionsCO2 Emissions Per CapitaCO2 Emissions Intensity
Postal Code 10072182,787 tn8.23 tn5,936.1 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 10072 CO2 Emissions
2013 CO2 emissions (tonnes/year)182,787 tn
2013 CO2 emissions (tonnes/year) per capita8.23 tn
2013 CO2 emissions intensity (tonnes/km²/year)5,936.1 tons/km²

Natural Hazards Risk

Relative risk out of 10

HazardRisk Level
FloodHigh (9)
EarthquakeMedium (4)
* 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 PM4.244 km11,000 m1km W of Pinasca, Italyusgs.gov
9/10/1512:32 AM3.157.1 km11,000 m0km NW of Villar Pellice, Italyusgs.gov
4/7/1412:27 PM4.898.5 km8,070 m7km SE of Guillestre, Franceusgs.gov
1/6/138:20 PM4.192.6 km7,000 mFranceusgs.gov
10/3/122:20 AM4.570.7 km10,000 mnorthern Italyusgs.gov
7/25/115:31 AM4.436.6 km25,100 mnorthern Italyusgs.gov
6/30/104:53 AM4.397 km2,000 mFranceusgs.gov
4/4/102:16 PM3.676.9 km7,100 mnorthern Italyusgs.gov
4/19/095:39 AM4.551.5 km40,200 mnorthern Italyusgs.gov
10/23/088:06 PM4.595.5 km5,000 mnorthern Italyusgs.gov
Showing 1-10 of 272

Cities

Percentage of businesses by city in Postal Code 10072 - Italy

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.