A data profile of the people who buy, follow and care about Toronto Blue Jays in United States — modelled from more than twelve digital signal sources. Toronto Blue Jays has an estimated audience of 9,174,759 people in United States.
The average Toronto Blue Jays fan in United States is 40.3 years old, more male, and lives primarily in New York.
The audience is concentrated in New York, Florida, California.
Top brand affinities include Vladimir Guerrero Jr., Tampa Bay Rays, George Springer, with strongest over-indexing on Vladimir Guerrero Jr. (27.13× the country average).
Demographically, the Toronto Blue Jays audience skews more male with an average age of 40.3, and over-indexes on personality traits such as Community Orientation, Tradition.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Toronto Blue Jays fan in United States is more male, around 40.3 years old, with strong Community Orientation tendencies and a notable affinity for Vladimir Guerrero Jr..
The key figures that characterise the Toronto Blue Jays profile in United States.
33.3% are female, 66.7% are male, average age 40.3.
| Metric | Value |
|---|---|
| Female | 33.3% |
| Male | 66.7% |
| Average age | 40.3 |
| Estimated audience size | 9,174,759 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 17% | |
| 20-29 | 19% | |
| 30-39 | 20% | |
| 40-49 | 21% | |
| 50+ | 23% |
Where the Toronto Blue Jays audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Maine | ~90K | 2.87× | |
| 02 | Rhode Island | ~80K | 2.70× | |
| 03 | New Hampshire | ~90K | 2.45× | |
| 04 | Connecticut | ~200K | 2.38× | |
| 05 | Massachusetts | ~400K | 2.25× | |
| 06 | Vermont | ~30K | 2.23× | |
| 07 | New York | ~1M | 2.04× | |
| 08 | New Jersey | ~400K | 1.65× | |
| 09 | Michigan | ~400K | 1.54× | |
| 10 | Wisconsin | ~200K | 1.33× | |
| 11 | Florida | ~800K | 1.27× | |
| 12 | Maryland | ~200K | 1.13× | |
| 13 | Pennsylvania | ~300K | 1.08× | |
| 14 | Washington | ~200K | 1.06× | |
| 15 | Ohio | ~300K | 1.01× | |
| 16 | Delaware | ~20K | 1.01× | |
| 17 | Hawaii | ~40K | 0.95× | |
| 18 | Arizona | ~200K | 0.93× | |
| 19 | Illinois | ~300K | 0.88× | |
| 20 | North Dakota | ~20K | 0.87× | |
| 21 | Nevada | ~70K | 0.85× | |
| 22 | Montana | ~20K | 0.85× | |
| 23 | South Carolina | ~100K | 0.77× | |
| 24 | California | ~700K | 0.76× | |
| 25 | North Carolina | ~200K | 0.75× | |
| 26 | Iowa | ~60K | 0.75× | |
| 27 | South Dakota | ~20K | 0.75× | |
| 28 | Virginia | ~200K | 0.74× | |
| 29 | Minnesota | ~90K | 0.72× | |
| 30 | Idaho | ~30K | 0.71× | |
| 31 | Alaska | ~10K | 0.69× | |
| 32 | Indiana | ~100K | 0.68× | |
| 33 | Missouri | ~100K | 0.68× | |
| 34 | New Mexico | ~30K | 0.68× | |
| 35 | Texas | ~500K | 0.67× | |
| 36 | Kansas | ~50K | 0.66× | |
| 37 | Colorado | ~90K | 0.65× | |
| 38 | Nebraska | ~30K | 0.64× | |
| 39 | West Virginia | ~30K | 0.64× | |
| 40 | Tennessee | ~100K | 0.60× | |
| 41 | Kentucky | ~60K | 0.58× | |
| 42 | Washington, District of Columbia | ~20K | 0.58× | |
| 43 | Oregon | ~60K | 0.57× | |
| 44 | Louisiana | ~60K | 0.54× | |
| 45 | Georgia | ~100K | 0.53× | |
| 46 | Utah | ~40K | 0.53× | |
| 47 | Mississippi | ~40K | 0.50× | |
| 48 | Alabama | ~60K | 0.46× | |
| 49 | Oklahoma | ~50K | 0.46× | |
| 50 | Arkansas | ~30K | 0.45× |
The strongest cross-interests of the Toronto Blue Jays audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Texas Tech Red Raiders baseball | Sports | 50.20× | ||
| 02 | North Carolina Tar Heels baseball | Sports | 44.79× | ||
| 03 | Texas A&M Aggies baseball | Sports | 38.59× | ||
| 04 | Mississippi State Bulldogs baseball | Sports | 37.06× | ||
| 05 | Vladimir Guerrero Jr. | Sports | 27.13× | ||
| 06 | George Springer | Sports | 27.13× | ||
| 07 | John Schneider | Sports | 27.13× | ||
| 08 | Alejandro Kirk | Sports | 27.13× | ||
| 09 | Trey Yesavage | Sports | 27.13× | ||
| 10 | Dylan Cease | Sports | 27.13× | ||
| 11 | Texas Longhorns baseball | Sports | 26.53× | ||
| 12 | Tampa Bay Rays | Sports | 16.03× | ||
| 13 | Los Angeles Chargers | Sports | 13.74× | ||
| 14 | Babe Ruth | Sports | 13.67× | ||
| 15 | Philadelphia Phillies | Sports | 12.04× | ||
| 16 | USA Baseball | Sports | 9.19× | ||
| 17 | MLB Network | Sports | 8.01× | ||
| 18 | Milwaukee Brewers | Sports | 7.67× | ||
| 19 | Atlanta Braves | Sports | 5.92× | ||
| 20 | Detroit Tigers | Sports | 4.83× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Community Orientation | OPEN | 1.56× | |
| Tradition | CONSERVATISM | 1.40× | |
| DIY Mentality | THRILL | 1.36× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sustainability | BALANCE | 0.94× | |
| Early Adopter Mentality | POWER | 0.96× | |
| Design Affinity | PREMIUM | 1.02× |
Toronto Blue Jays has an estimated audience of 9,174,759 people in United States, concentrated in New York and Florida.
33.3% of Toronto Blue Jays fans are female, 66.7% are male, with an average age of 40.3 years.
Toronto Blue Jays fans show strongest brand affinity for Vladimir Guerrero Jr. (27.13×), Tampa Bay Rays (16.03×), and George Springer (27.13×) over the country average.
Toronto Blue Jays fans in United States are most concentrated in New York (reach ~1M), Florida (reach ~800K), and California (reach ~700K). These three regions account for the largest share of the active audience.
Beyond Toronto Blue Jays itself, the audience over-indexes on Tampa Bay Rays (16.03×), George Springer (27.13×), Philadelphia Phillies (12.04×), and John Schneider (27.13×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for Toronto Blue Jays. 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.
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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.