Rascasse Audience Intelligence

Restaurants Audience in Italy

A data profile of the people who buy, follow and care about Restaurants in Italy — modelled from more than twelve digital signal sources. Restaurants has an estimated audience of 33,251,257 people in Italy.

#16among Lifestyle cluster in Italy#19among Topic in Italy#4in Food & Beverages

The average Restaurants fan in Italy is 43.5 years old, balanced, and lives primarily in Lazio.

The audience is concentrated in Lazio, Lombardy, Veneto.

Demographically, the Restaurants audience skews balanced with an average age of 43.5, and over-indexes on personality traits such as Creativity, DIY Mentality.

Category: Food & Beverages · Type: Topic · Subtype: Lifestyle cluster

The data on this page comes from the Rascasse audience panel and is refreshed monthly from search, social and browsing signals. As of 2026-08-10.

Section 01

At a glance

The key figures that characterise the Restaurants profile in Italy.

Audience size
33.3M
in Italy
Gender
54.6%♀
45.4% male
Age
43.5
average years
Country rank
#29
Topic in Italy
Fig. 01

Search interest · 12-month trend

-2%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Restaurants fans

54.6% are female, 45.4% are male, average age 43.5.

Fig. 02

Gender split

54.6%
Female
45.4%
Male
Demographic split for Restaurants audience in Italy
MetricValue
Female54.6%
Male45.4%
Average age43.5
Estimated audience size33,251,257
Fig. 03

Age distribution

Ø 43.5
average years
Age distribution of the Restaurants audience in Italy
Age bracketShare%
16-1911%
20-2915%
30-3921%
40-4923%
50+30%
Fig. 04

Worldwide distribution

4.2%

of the worldwide Restaurants audience comes from Italy.

Worldwide audience distribution share by country for Restaurants
CountryShare
United States16.4%
Japan5.6%
Italy4.2%
Section 03
Affinity (×) = how much more likely a member of this audience is to live in a region than the Italy average. Example: 2.0× means twice as concentrated as the national baseline.

Geography

Where the Restaurants audience in Italy is strongest.

Fig. 05

Top regions by affinity

Restaurants fans by region: top regions in Italy
#RegionReachAffinity×
01Trentino-Alto Adige/Südtirol~800K2.95×
02Aosta Valley~100K1.95×
03Friuli-Venezia Giulia~800K1.44×
04Sardinia~1M1.43×
05Liguria~1M1.40×
06Tuscany~3M1.32×
07Veneto~3M1.21×
08Lazio~5M1.19×
09Sicilia~2.5M0.91×
10Lombardy~4.5M0.81×
11Piedmont~2M0.77×
12Puglia~1.5M0.71×
13Emilia-Romagna~2M0.70×
14Umbria~400K0.67×
15Campania~2.5M0.64×
16Basilicata~100K0.48×
17Marche~400K0.46×
18Abruzzo~300K0.39×
19Calabria~400K0.37×
20Molise~40K0.25×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Restaurants audience

Values above 1.00× are above the country average, values below 1.00× below it.

Fig. 08

Deviation from the national baseline

↑ What stands out
The strongest tendencies
Top personality traits over-indexed by Restaurants audience · What stands out
TraitClusterDeviationScore
CreativityOPEN0.85×
DIY MentalityTHRILL0.81×
Family OrientationCONSERVATISM0.81×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Restaurants audience · Rather not
TraitClusterDeviationScore
Risk AppetiteTHRILL0.61×
Early Adopter MentalityPOWER0.61×
PatriotismCONSERVATISM0.62×
0×1.00× baseline2×
Appendix

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How to read this data

Audience size is the estimated number of people in Italy who actively search for Restaurants. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.

About this audience profile

This audience profile is generated by Rascasse from anonymized search-behavior signals across Italy. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.

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