US Open (tennis) has an estimated audience of 10.1M people in United States.
The average US Open (tennis) fan in United States is 38.1 years old, more male, and lives primarily in New York.
By number of fans, US Open (tennis) ranks #3 among the 425 objects in Tennis in United States — 7.5× the group median.
Its fans are 0.9 years younger than the group average of 39.0.
Women make up 44.4% of the fan base, 4.2 percentage points more than the group average.
Compared with the other 424 objects in Tennis, US Open (tennis) fans stand out for their interest in HEAD Tennis, Babolat and International Tennis Federation.
Interest is seasonal: June, August and September account for 96% of the year's searches, December is the quietest month.
Most fans live in New York, California, Florida.
Top affinities include HEAD Tennis, Babolat, Roland Garros, with strongest over-indexing on HEAD Tennis (141.24× the country average).
Demographically, the US Open (tennis) audience skews more male with an average age of 38.1, and over-indexes on personality traits such as Sports Activity, Sustainability.
The typical US Open (tennis) fan in United States is more male, around 38.1 years old, with strong Sports Activity tendencies and a notable affinity for HEAD Tennis.
44.4% are female, 55.6% are male, average age 38.1.
| Metric | Value |
|---|---|
| Female | 44.4% |
| Male | 55.6% |
| Average age | 38.1 |
| Estimated audience size | 10.1M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 24% | |
| 25-34 | 21% | |
| 35-44 | 19% | |
| 45-54 | 19% | |
| 55+ | 17% |
of the worldwide US Open (tennis) audience comes from United States.
| Country | Share |
|---|---|
| United States | 22.2% |
| Italy | 9.7% |
| Japan | 7.9% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | New York | ~2M | 3.03× | |
| 02 | Washington, District of Columbia | ~50K | 2.37× | |
| 03 | Connecticut | ~200K | 1.95× | |
| 04 | New Jersey | ~500K | 1.89× | |
| 05 | Massachusetts | ~400K | 1.76× | |
| 06 | Vermont | ~30K | 1.49× | |
| 07 | Maryland | ~200K | 1.28× | |
| 08 | Rhode Island | ~40K | 1.28× | |
| 09 | Virginia | ~300K | 1.24× | |
| 10 | Maine | ~50K | 1.21× | |
| 11 | California | ~1.5M | 1.20× | |
| 12 | Illinois | ~500K | 1.19× | |
| 13 | North Carolina | ~400K | 1.17× | |
| 14 | Delaware | ~30K | 1.12× | |
| 15 | Florida | ~700K | 1.10× | |
| 16 | New Hampshire | ~40K | 1.10× | |
| 17 | Pennsylvania | ~400K | 1.09× | |
| 18 | Georgia | ~400K | 1.07× | |
| 19 | Washington | ~200K | 1.06× | |
| 20 | Colorado | ~200K | 1.05× | |
| 21 | Michigan | ~300K | 1.00× | |
| 22 | Minnesota | ~200K | 1.00× | |
| 23 | South Carolina | ~200K | 0.95× | |
| 24 | Ohio | ~300K | 0.90× | |
| 25 | Oregon | ~100K | 0.90× | |
| 26 | Hawaii | ~40K | 0.90× | |
| 27 | Wisconsin | ~100K | 0.83× | |
| 28 | Utah | ~80K | 0.83× | |
| 29 | Texas | ~600K | 0.82× | |
| 30 | Indiana | ~200K | 0.82× | |
| 31 | Nevada | ~80K | 0.78× | |
| 32 | Montana | ~30K | 0.77× | |
| 33 | Kansas | ~70K | 0.75× | |
| 34 | Tennessee | ~200K | 0.74× | |
| 35 | Iowa | ~70K | 0.73× | |
| 36 | Nebraska | ~40K | 0.70× | |
| 37 | Kentucky | ~90K | 0.69× | |
| 38 | Missouri | ~100K | 0.68× | |
| 39 | Arizona | ~200K | 0.67× | |
| 40 | Idaho | ~40K | 0.67× | |
| 41 | Louisiana | ~90K | 0.64× | |
| 42 | New Mexico | ~40K | 0.63× | |
| 43 | Alabama | ~90K | 0.61× | |
| 44 | West Virginia | ~30K | 0.59× | |
| 45 | North Dakota | ~10K | 0.57× | |
| 46 | South Dakota | ~10K | 0.56× | |
| 47 | Arkansas | ~50K | 0.55× | |
| 48 | Alaska | ~10K | 0.54× | |
| 49 | Mississippi | ~50K | 0.53× | |
| 50 | Oklahoma | ~60K | 0.50× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | HEAD Tennis | Sports | 141.24× | ||
| 02 | Babolat | Sports | 100.00× | ||
| 03 | Roland Garros | Sports | 86.11× | ||
| 04 | Australian Open | Sports | 83.43× | ||
| 05 | Tennis Warehouse | Shopping | 74.61× | ||
| 06 | Emma Raducanu | Sports | 72.37× | ||
| 07 | Jasmine Paolini | Sports | 64.30× | ||
| 08 | International Tennis Federation | Sports | 56.65× | ||
| 09 | The Championships, Wimbledon | Sports | 53.74× | ||
| 10 | United States Tennis Association | Sports | 52.78× | ||
| 11 | Iga Swiatek | Sports | 47.43× | ||
| 12 | Grand Slam (tennis) | Sports | 46.80× | ||
| 13 | Tommy Paul | Sports | 40.24× | ||
| 14 | Novak Djokovic | Sports | 37.10× | ||
| 15 | Aryna Sabalenka | Sports | 32.14× | ||
| 16 | Naomi Osaka | Sports | 31.86× | ||
| 17 | Coco Gauff | Sports | 29.97× | ||
| 18 | Taylor Fritz | Sports | 28.66× | ||
| 19 | Jannik Sinner | Sports | 19.70× | ||
| 20 | City Bank | Business & Career | 17.03× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sports Activity | POWER | 1.75× | |
| Sustainability | BALANCE | 1.66× | |
| Luxury Orientation | PREMIUM | 1.52× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.81× | |
| Family Orientation | CONSERVATISM | 0.87× | |
| Convenience Orientation | PREMIUM | 0.87× |
Cite as: “Rascasse Solution, Q2/2026, rascasse.com/explore/us/us-open-tennis-25742” · Methodology