Rascasse Audience Intelligence

Fast casual restaurants Audience in United States

A data profile of the people who buy, follow and care about Fast casual restaurants in United States — modelled from more than twelve digital signal sources. Fast casual restaurants has an estimated audience of 25,300,991 people in United States.

#39among Touchpoint in United States#109in Food & Beverages

The average Fast casual restaurants fan in United States is 41.2 years old, more female, and lives primarily in New York.

The audience is concentrated in New York, California, Texas.

Top brand affinities include Panera Bread, Five Guys, Culver's, with strongest over-indexing on Panera Bread (3.89× the country average).

Demographically, the Fast casual restaurants audience skews more female with an average age of 41.2, and over-indexes on personality traits such as Indulgence, Community Orientation.

Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.

The typical Fast casual restaurants fan in United States is more female, around 41.2 years old, with strong Indulgence tendencies and a notable affinity for Panera Bread.

Category: Food & Beverages · Type: Touchpoint

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 Fast casual restaurants profile in United States.

Audience size
25.3M
in United States
Gender
56.9%♀
43.1% male
Age
41.2
average years
Country rank
#1211
Touchpoint in United States
Fig. 01

Search interest · 12-month trend

+3%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Audience Intelligence
Section 02

Demographics of Fast casual restaurants fans

56.9% are female, 43.1% are male, average age 41.2.

Fig. 02

Gender split

56.9%
Female
43.1%
Male
Demographic split for Fast casual restaurants audience in United States
MetricValue
Female56.9%
Male43.1%
Average age41.2
Estimated audience size25,300,991
Fig. 03

Age distribution

Ø 41.2
average years
Age distribution of the Fast casual restaurants audience in United States
Age bracketShare%
16-1914%
20-2920%
30-3921%
40-4922%
50+23%
Fig. 04

Worldwide distribution

17.1%

of the worldwide Fast casual restaurants audience comes from United States.

Worldwide audience distribution share by country for Fast casual restaurants
CountryShare
United States17.1%
Japan7.8%
Brazil5.6%
Section 03
Affinity (×) = how much more likely a member of this audience is to live in a region than the United States average. Example: 2.0× means twice as concentrated as the national baseline.

Geography

Where the Fast casual restaurants audience in United States is strongest.

Fig. 05

Top regions by affinity

Fast casual restaurants fans by region: top regions in United States
#RegionReachAffinity×
01Washington, District of Columbia~300K4.41×
02New York~3M2.12×
03Colorado~700K1.79×
04Virginia~900K1.54×
05Massachusetts~700K1.47×
06Maryland~600K1.40×
07Minnesota~500K1.38×
08Wyoming~50K1.31×
09Illinois~1M1.27×
10Connecticut~300K1.24×
11New Jersey~800K1.21×
12Kansas~200K1.11×
13Pennsylvania~900K1.10×
14Ohio~800K1.08×
15Rhode Island~80K1.05×
16Utah~200K1.04×
17Wisconsin~400K1.01×
18California~2.5M0.97×
19New Hampshire~100K0.97×
20Delaware~70K0.97×
21North Carolina~700K0.94×
22Georgia~700K0.93×
23Florida~1.5M0.91×
24Indiana~400K0.91×
25Texas~2M0.90×
26Washington~400K0.89×
27Missouri~400K0.89×
28Arizona~400K0.87×
29Nevada~200K0.87×
30Louisiana~300K0.86×
31Idaho~100K0.84×
32Nebraska~100K0.83×
33Maine~80K0.83×
34Michigan~500K0.82×
35Tennessee~400K0.82×
36South Carolina~300K0.82×
37Alaska~40K0.82×
38North Dakota~40K0.82×
39Montana~60K0.81×
40South Dakota~50K0.80×
41Hawaii~80K0.78×
42Kentucky~200K0.76×
43Oklahoma~200K0.76×
44Iowa~200K0.76×
45Oregon~200K0.74×
46Arkansas~200K0.73×
47New Mexico~90K0.73×
48West Virginia~80K0.71×
49Alabama~200K0.66×
50Mississippi~100K0.66×
Fig. 06

Affinity by region

Affinity by region — Fast casual restaurants, United States
0.66×1.00×4.41×
Section 04
Brands and entities this audience over-indexes on, vs. the country average.

Audience interests & affinities

The strongest cross-interests of the Fast casual restaurants audience — brands, topics and people combined.

Fig. 07

Top cross-interests, ranked by affinity

Top brand affinities (over-index vs. country average) for Fast casual restaurants audience
#·InterestCategoryAffinity×
01Five GuysFood & Beverages5.12×
02FoodserviceFood & Beverages4.06×
03Panera BreadFood & Beverages3.89×
04Culver'sFood & Beverages3.79×
05Fast food restaurantsFood & Beverages3.28×
06DinersFood & Beverages2.95×
07Fast foodFood & Beverages2.32×
08Texas RoadhouseFood & Beverages2.29×
09WingstopFood & Beverages2.27×
10Self careHealth2.20×
11Panda ExpressFood & Beverages2.18×
12Trader Joe'sShopping2.17×
13In-N-Out BurgerFood & Beverages2.16×
14Culinary artArts & Culture2.03×
15Dollar TreeShopping1.98×
16Chick-fil-AFood & Beverages1.92×
17Pizza HutFood & Beverages1.90×
18Hobby LobbyHome & Garden1.79×
19Hip hop musicMusic & Radio1.64×
20New York CityTravel & Leisure1.54×
Section 05
Top six personality traits over-indexed by this audience (1.0 = country average).

Personality of the Fast casual 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 Fast casual restaurants audience · What stands out
TraitClusterDeviationScore
IndulgenceJOY1.84×
Community OrientationOPEN1.56×
Convenience OrientationPREMIUM1.50×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Top personality traits over-indexed by Fast casual restaurants audience · Rather not
TraitClusterDeviationScore
PatriotismCONSERVATISM0.86×
Social Media UsageJOY1.06×
Need for SecurityCONSERVATISM1.10×
0×1.00× baseline2×
Section 06

Frequently asked questions

01

How many fans does Fast casual restaurants have in United States?

Fast casual restaurants has an estimated audience of 25,300,991 people in United States, concentrated in New York and California.

02

What is the gender split and age of Fast casual restaurants fans?

56.9% of Fast casual restaurants fans are female, 43.1% are male, with an average age of 41.2 years.

03

Which brands do Fast casual restaurants fans like most?

Fast casual restaurants fans show strongest brand affinity for Panera Bread (3.89×), Five Guys (5.12×), and Culver's (3.79×) over the country average.

04

Where do Fast casual restaurants fans live in United States?

Fast casual restaurants fans in United States are most concentrated in New York (reach ~3M), California (reach ~2.5M), and Texas (reach ~2M). These three regions account for the largest share of the active audience.

05

What other brands do Fast casual restaurants fans also like?

Beyond Fast casual restaurants itself, the audience over-indexes on Five Guys (5.12×), Culver's (3.79×), Fast food (2.32×), and Foodservice (4.06×) compared to the United States average.

Appendix

Explore more audiences

Related profiles, rankings and the same audience in other markets.

More Food & Beverages audiences in United States

See Fast casual restaurants audiences in other countries

How to read this data

Audience size is the estimated number of people in United States who actively search for Fast casual 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 United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.

Scale & coverage
500,000+ ready-to-use audiences across 170+ countries

From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.

See pricing →