Rascasse Audience Intelligence

White Collar Viewer Demographics in United States

White Collar has an estimated audience of 1.2M people in United States.

#413among TV series in United States
#1583among movies & series in United States#3782in Movies & TV

The average White Collar fan in United States is 36.1 years old, more male, and lives primarily in California.

Its fans are 2.7 years younger than the group average of 38.8.

Women make up 44.9% of the fan base, 11.5 percentage points fewer than the group average.

Compared with the other 3712 objects in TV series, White Collar fans stand out for their interest in SmartPak, Bed skirt and World Rally Championship-2.

Most fans live in California, Florida, Texas.

Top affinities include SmartPak, Bed skirt, World Rally Championship-2, with strongest over-indexing on SmartPak (208.26× the country average).

Demographically, the White Collar audience skews more male with an average age of 36.1, and over-indexes on personality traits such as Mindfulness, Sustainability.

The typical White Collar fan in United States is more male, around 36.1 years old, with strong Mindfulness tendencies and a notable affinity for SmartPak.

Category: Movies & TV · Type: Movie / TV Show / Series · Subtype: TV series

Data status: Q2/2026 · Source & method

Section 01

At a glance

Audience size
1.2M
in United States
Gender
44.9%♀
55.1% male
Age
36.1
average years
Country rank
#21410
among all objects in United States
Fig. 01

Search interest · 12-month trend

-35%
vs. last year
JanMarMayJulSepNov
Monthly searches · Source: Rascasse Solution
Section 02

Demographics of White Collar viewers

44.9% are female, 55.1% are male, average age 36.1.

Fig. 02

Gender split

44.9%
Female
55.1%
Male
Demographic split for White Collar audience in United States
MetricValue
Female44.9%
Male55.1%
Average age36.1
Estimated audience size1.2M
Fig. 03

Age distribution

Ø 36.1
average years
Age distribution of the White Collar audience in United States
Age bracketShare%
16-2430%
25-3421%
35-4418%
45-5417%
55+14%
Fig. 04

Worldwide distribution

24.4%

of the worldwide White Collar audience comes from United States.

Worldwide audience distribution share by country for White Collar
CountryShare
United States24.4%
India7.7%
Germany7.5%
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

Fig. 05

Top regions by affinity

White Collar fans by region: top regions in United States
#RegionReachAffinity×
01Utah~20K1.48×
02Idaho~9K1.36×
03Minnesota~20K1.14×
04New Hampshire~5K1.13×
05Massachusetts~30K1.10×
06Washington~30K1.09×
07Oregon~20K1.09×
08Montana~4K1.09×
09North Dakota~3K1.09×
10Florida~80K1.07×
11Missouri~20K1.07×
12Wisconsin~20K1.07×
13Michigan~40K1.06×
14Connecticut~10K1.06×
15Maine~5K1.06×
16Iowa~10K1.05×
17New Jersey~30K1.04×
18Tennessee~30K1.03×
19South Carolina~20K1.03×
20Kansas~10K1.03×
21Pennsylvania~50K1.01×
22Colorado~20K1.01×
23Arkansas~10K1.00×
24Vermont~2K1.00×
25New York~70K0.99×
26North Carolina~40K0.99×
27Arizona~30K0.99×
28California~100K0.98×
29Illinois~40K0.98×
30Ohio~40K0.98×
31Oklahoma~10K0.98×
32Georgia~40K0.97×
33Indiana~20K0.97×
34South Dakota~3K0.97×
35Texas~80K0.96×
36Rhode Island~4K0.96×
37Virginia~30K0.94×
38Kentucky~10K0.93×
39Nebraska~6K0.93×
40Alabama~20K0.92×
41Louisiana~10K0.92×
42Alaska~2K0.92×
43Mississippi~9K0.91×
44Hawaii~5K0.91×
45Maryland~20K0.89×
46Delaware~3K0.89×
47West Virginia~5K0.83×
48Washington, District of Columbia~2K0.83×
49Nevada~9K0.78×
50New Mexico~5K0.75×
Fig. 06

Affinity by region

Affinity by region — White Collar, United States
0.75×1.00×1.48×
Section 04
Brands and objects ranked by affinity with this audience. Values above 1.0× mean over-representation compared with the country average.

Audience interests & affinities

Fig. 07

Top cross-interests, ranked by affinity

Affinities of the White Collar audience vs. the country average
#·InterestCategoryAffinity×
01SmartPakBusiness & Career208.26×
02Bed skirtHome & Garden190.96×
03World Rally Championship-2Games190.89×
04CITVMovies & TV125.53×
05Hall PassMovies & TV97.94×
06CSX TransportationCars & Mobility66.87×
07Kevin McKiddMovies & TV66.02×
08Alexandra DaddarioMovies & TV65.00×
09Degrassi: Next GenerationMovies & TV32.14×
10Jennifer Love HewittMovies & TV27.34×
11Michael FassbenderMovies & TV22.14×
12Kat DenningsMovies & TV15.35×
13Uma ThurmanMovies & TV15.12×
14Dakota FanningMovies & TV14.84×
15Elle FanningMovies & TV14.08×
16Kaley CuocoMovies & TV14.02×
17Nina DobrevMovies & TV13.49×
18Elizabeth OlsenMovies & TV12.82×
19Brittany SnowMovies & TV12.10×
20Millie Bobby BrownMovies & TV7.42×
Section 05
Strongest and weakest personality traits of this audience (1.0 = country average).

Personality of the White Collar audience

Fig. 08

Deviation from the national baseline

↑ What stands out
The strongest tendencies
Personality traits of the White Collar audience vs. the country average · What stands out
TraitClusterDeviationScore
MindfulnessBALANCE1.49×
SustainabilityBALANCE1.31×
Luxury OrientationPREMIUM1.30×
0×1.00× baseline2×
↓ Rather not
The weakest tendencies
Personality traits of the White Collar audience vs. the country average · Rather not
TraitClusterDeviationScore
Convenience OrientationPREMIUM0.70×
CreativityOPEN0.72×
Career OrientationPOWER0.73×
0×1.00× baseline2×
Appendix

Explore more audiences

More TV series audiences in United States

Source & method

Source
Rascasse Solution, own modelling
What “fans” means here
Estimated number of people in United States with measurable interest in White Collar over the last 12 months. Modelled, not counted; people interested in several movie / tv show / seriess count for each of them.
Data basis
Anonymised behavioural signals: search demand, social media signals, sponsorship and event data. Not a survey.
Period
07/2025 – 06/2026 · updated quarterly · data status Q2/2026
Confidence
high gender and age data available and an audience of at least 100,000 people

Cite as: “Rascasse Solution, Q2/2026, rascasse.com/explore/us/white-collar-826” · Methodology