Water polo has an estimated audience of 2.1M people in United States.
The average Water polo fan in United States is 39.0 years old, more male, and lives primarily in California.
Its fans are 0.6 years older than the group average of 38.4.
Women make up 43.1% of the fan base, 1.4 percentage points more than the group average.
Compared with the other 802 objects in Sport, Water polo fans stand out for their interest in BTS Skytrain, Giant Food and 4 × 100 metres relay.
Interest is seasonal: July, August and September account for 36% of the year's searches, December is the quietest month.
Most fans live in California, Texas, Florida.
Top affinities include BTS Skytrain, Giant Food, 4 × 100 metres relay, with strongest over-indexing on BTS Skytrain (138.77× the country average).
Demographically, the Water polo audience skews more male with an average age of 39.0, and over-indexes on personality traits such as Sports Activity, Design Affinity.
The typical Water polo fan in United States is more male, around 39.0 years old, with strong Sports Activity tendencies and a notable affinity for BTS Skytrain.
43.1% are female, 56.9% are male, average age 39.0.
| Metric | Value |
|---|---|
| Female | 43.1% |
| Male | 56.9% |
| Average age | 39.0 |
| Estimated audience size | 2.1M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 26% | |
| 25-34 | 16% | |
| 35-44 | 17% | |
| 45-54 | 20% | |
| 55+ | 20% |
of the worldwide Water polo audience comes from United States.
| Country | Share |
|---|---|
| United States | 20.8% |
| Italy | 8.4% |
| Spain | 6.9% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~500K | 1.89× | |
| 02 | Hawaii | ~20K | 1.71× | |
| 03 | Texas | ~200K | 1.51× | |
| 04 | Virginia | ~70K | 1.37× | |
| 05 | Illinois | ~100K | 1.27× | |
| 06 | Utah | ~30K | 1.24× | |
| 07 | Washington | ~60K | 1.21× | |
| 08 | Florida | ~200K | 1.16× | |
| 09 | Connecticut | ~30K | 1.15× | |
| 10 | Oregon | ~30K | 1.13× | |
| 11 | Massachusetts | ~50K | 1.10× | |
| 12 | Washington, District of Columbia | ~5K | 1.08× | |
| 13 | Idaho | ~10K | 1.05× | |
| 14 | Pennsylvania | ~80K | 1.04× | |
| 15 | Missouri | ~40K | 1.03× | |
| 16 | New Jersey | ~60K | 1.02× | |
| 17 | Rhode Island | ~7K | 1.01× | |
| 18 | Georgia | ~70K | 0.99× | |
| 19 | Nevada | ~20K | 0.99× | |
| 20 | Michigan | ~60K | 0.98× | |
| 21 | Arizona | ~50K | 0.96× | |
| 22 | Maryland | ~40K | 0.96× | |
| 23 | Colorado | ~30K | 0.96× | |
| 24 | New Hampshire | ~8K | 0.96× | |
| 25 | North Dakota | ~5K | 0.96× | |
| 26 | New York | ~100K | 0.95× | |
| 27 | Kentucky | ~30K | 0.94× | |
| 28 | South Dakota | ~5K | 0.93× | |
| 29 | Nebraska | ~10K | 0.92× | |
| 30 | West Virginia | ~10K | 0.92× | |
| 31 | Ohio | ~70K | 0.91× | |
| 32 | North Carolina | ~60K | 0.91× | |
| 33 | Tennessee | ~40K | 0.91× | |
| 34 | Maine | ~8K | 0.91× | |
| 35 | Alaska | ~4K | 0.91× | |
| 36 | Indiana | ~40K | 0.89× | |
| 37 | Minnesota | ~30K | 0.89× | |
| 38 | South Carolina | ~30K | 0.89× | |
| 39 | Delaware | ~6K | 0.89× | |
| 40 | Louisiana | ~30K | 0.88× | |
| 41 | Oklahoma | ~20K | 0.88× | |
| 42 | Iowa | ~20K | 0.88× | |
| 43 | Vermont | ~4K | 0.88× | |
| 44 | Kansas | ~20K | 0.87× | |
| 45 | Arkansas | ~20K | 0.86× | |
| 46 | New Mexico | ~10K | 0.86× | |
| 47 | Wisconsin | ~30K | 0.84× | |
| 48 | Alabama | ~30K | 0.82× | |
| 49 | Montana | ~5K | 0.81× | |
| 50 | Mississippi | ~10K | 0.77× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | BTS Skytrain | Cars & Mobility | 138.77× | ||
| 02 | Giant Food | Food & Beverages | 110.80× | ||
| 03 | 4 × 100 metres relay | Sports | 98.79× | ||
| 04 | Death Row Dog Rescue | Topic | 79.22× | ||
| 05 | Mixcloud | Music & Radio | 56.23× | ||
| 06 | FC Utrecht | Sports | 51.53× | ||
| 07 | Voetbalprimeur | Sports | 46.22× | ||
| 08 | Embraer | Cars & Mobility | 43.20× | ||
| 09 | Capital FM | Music & Radio | 32.95× | ||
| 10 | Virgil van Dijk | Sports | 32.86× | ||
| 11 | Voetbal International | Sports | 26.41× | ||
| 12 | Swordfish | Pets & Animals | 23.91× | ||
| 13 | Greyhound racing | Travel & Leisure | 23.15× | ||
| 14 | KT TAPE | Health | 17.71× | ||
| 15 | Patient safety | Health | 16.85× | ||
| 16 | Gold Rush (TV series) | Movies & TV | 13.68× | ||
| 17 | Clay pigeon shooting | Sports | 12.70× | ||
| 18 | Jim Harbaugh | Sports | 9.65× | ||
| 19 | Uma Thurman | Movies & TV | 6.44× | ||
| 20 | TLC (TV network) | Movies & TV | 3.17× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sports Activity | POWER | 1.29× | |
| Design Affinity | PREMIUM | 1.23× | |
| Urban Lifestyle | OPEN | 1.22× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.88× | |
| Need for Security | CONSERVATISM | 0.94× | |
| DIY Mentality | THRILL | 0.95× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/us/water-polo-12611” · Methodology