Tom Welling has an estimated audience of 5.6M people in United States.
The average Tom Welling fan in United States is 38.4 years old, more male, and lives primarily in California.
Its fans are 1.7 years younger than the group average of 40.1.
Women make up 44.6% of the fan base, 11.6 percentage points fewer than the group average.
Compared with the other 6620 objects in Actor Actress or TV Star, Tom Welling fans stand out for their interest in Python (genus), Brandon Routh and Grant Gustin.
Most fans live in California, Texas, Florida.
Top affinities include Python (genus), Brandon Routh, Grant Gustin, with strongest over-indexing on Python (genus) (197.8× the country average).
The typical Tom Welling fan in United States is more male, around 38.4 years old, with a notable affinity for Python (genus).
44.6% are female, 55.4% are male, average age 38.4.
| Metric | Value |
|---|---|
| Female | 44.6% |
| Male | 55.4% |
| Average age | 38.4 |
| Estimated audience size | 5.6M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 23% | |
| 25-34 | 20% | |
| 35-44 | 20% | |
| 45-54 | 18% | |
| 55+ | 18% |
of the worldwide Tom Welling audience comes from United States.
| Country | Share |
|---|---|
| United States | 30.8% |
| Brazil | 9.7% |
| United Kingdom | 6.7% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Utah | ~70K | 1.34× | |
| 02 | Texas | ~500K | 1.24× | |
| 03 | Oklahoma | ~80K | 1.17× | |
| 04 | Arkansas | ~60K | 1.15× | |
| 05 | California | ~800K | 1.14× | |
| 06 | Tennessee | ~100K | 1.12× | |
| 07 | Idaho | ~30K | 1.12× | |
| 08 | Kentucky | ~80K | 1.11× | |
| 09 | Missouri | ~100K | 1.10× | |
| 10 | Kansas | ~50K | 1.09× | |
| 11 | Alabama | ~90K | 1.07× | |
| 12 | New York | ~400K | 1.06× | |
| 13 | North Carolina | ~200K | 1.06× | |
| 14 | New Jersey | ~200K | 1.05× | |
| 15 | Indiana | ~100K | 1.05× | |
| 16 | Georgia | ~200K | 1.04× | |
| 17 | Massachusetts | ~100K | 1.04× | |
| 18 | Connecticut | ~60K | 1.04× | |
| 19 | Florida | ~400K | 1.02× | |
| 20 | Illinois | ~200K | 1.02× | |
| 21 | Washington | ~100K | 1.02× | |
| 22 | Louisiana | ~80K | 1.02× | |
| 23 | Mississippi | ~50K | 1.02× | |
| 24 | Michigan | ~200K | 1.01× | |
| 25 | Virginia | ~100K | 1.01× | |
| 26 | Ohio | ~200K | 1.00× | |
| 27 | Arizona | ~100K | 1.00× | |
| 28 | Oregon | ~70K | 1.00× | |
| 29 | Iowa | ~50K | 1.00× | |
| 30 | Nebraska | ~30K | 0.99× | |
| 31 | Hawaii | ~20K | 0.99× | |
| 32 | Pennsylvania | ~200K | 0.96× | |
| 33 | South Carolina | ~90K | 0.96× | |
| 34 | North Dakota | ~10K | 0.96× | |
| 35 | West Virginia | ~30K | 0.94× | |
| 36 | Minnesota | ~90K | 0.93× | |
| 37 | Rhode Island | ~20K | 0.93× | |
| 38 | Montana | ~20K | 0.92× | |
| 39 | Maryland | ~90K | 0.91× | |
| 40 | Nevada | ~50K | 0.91× | |
| 41 | Alaska | ~10K | 0.91× | |
| 42 | New Hampshire | ~20K | 0.90× | |
| 43 | Wisconsin | ~90K | 0.89× | |
| 44 | Colorado | ~90K | 0.89× | |
| 45 | New Mexico | ~30K | 0.88× | |
| 46 | Maine | ~20K | 0.88× | |
| 47 | South Dakota | ~10K | 0.87× | |
| 48 | Washington, District of Columbia | ~10K | 0.86× | |
| 49 | Delaware | ~10K | 0.85× | |
| 50 | Vermont | ~9K | 0.81× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Python (genus) | Pets & Animals | 197.80× | ||
| 02 | Brandon Routh | Movies & TV | 68.58× | ||
| 03 | Grant Gustin | Movies & TV | 38.01× | ||
| 04 | Kung Fu (TV series) | Movies & TV | 21.77× | ||
| 05 | Motorcycle taxi | Cars & Mobility | 21.44× | ||
| 06 | Stephen Amell | Movies & TV | 19.95× | ||
| 07 | Smallville | Movies & TV | 16.30× | ||
| 08 | Flashpoint (comics) | Literature | 13.41× | ||
| 09 | Supergirl (U.S. TV series) | Movies & TV | 11.96× | ||
| 10 | Danielle Panabaker | Movies & TV | 10.42× | ||
| 11 | Superman (TV series) | Movies & TV | 8.09× | ||
| 12 | Nashville (2012 TV series) | Movies & TV | 7.52× | ||
| 13 | Robert Downey jr | Movies & TV | 6.33× | ||
| 14 | Arrow | Movies & TV | 3.66× | ||
| 15 | Twin Peaks | Movies & TV | 3.02× | ||
| 16 | Peacemaker | Movies & TV | 2.98× | ||
| 17 | Superhero film | Movies & TV | 2.92× | ||
| 18 | Catherine O'Hara | Movies & TV | 2.75× | ||
| 19 | Godzilla | Movies & TV | 2.35× | ||
| 20 | Reality | Politics & Society | 1.72× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 0.88× | |
| Patriotism | CONSERVATISM | 0.84× | |
| Early Adopter Mentality | POWER | 0.71× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.46× | |
| Sustainability | BALANCE | 0.48× | |
| Healthy Lifestyle | BALANCE | 0.53× |
Cite as: “Rascasse Solution, Q2/2026, rascasse.com/explore/us/tom-welling-692” · Methodology