FIFA World Cup has an estimated audience of 98.3M people in United States.
The average FIFA World Cup fan in United States is 37.4 years old, more male, and lives primarily in California.
By number of fans, FIFA World Cup ranks #2 among the 13632 objects in Soccer in United States — 28.9× the group median.
Its fans are 3.6 years older than the group average of 33.8.
Women make up 32.4% of the fan base, 2.1 percentage points fewer than the group average.
Compared with the other 13631 objects in Soccer, FIFA World Cup fans stand out for their interest in Kevin De Bruyne, Caribbean and Argentina.
Interest is seasonal: June, July and December account for 92% of the year's searches, January is the quietest month.
Most fans live in California, Texas, Florida.
Top affinities include Kevin De Bruyne, Los Angeles FC, FIFA World Cup 2026, with strongest over-indexing on Kevin De Bruyne (11.09× the country average).
Demographically, the FIFA World Cup audience skews more male with an average age of 37.4, and over-indexes on personality traits such as Risk Appetite, Mindfulness.
The typical FIFA World Cup fan in United States is more male, around 37.4 years old, with strong Risk Appetite tendencies and a notable affinity for Kevin De Bruyne.
32.4% are female, 67.6% are male, average age 37.4.
| Metric | Value |
|---|---|
| Female | 32.4% |
| Male | 67.6% |
| Average age | 37.4 |
| Estimated audience size | 98.3M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 25% | |
| 25-34 | 21% | |
| 35-44 | 20% | |
| 45-54 | 18% | |
| 55+ | 15% |
of the worldwide FIFA World Cup audience comes from United States.
| Country | Share |
|---|---|
| United States | 13.9% |
| India | 7.7% |
| Germany | 5.9% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~27M | 2.36× | |
| 02 | New Jersey | ~5.5M | 2.02× | |
| 03 | Texas | ~12M | 1.79× | |
| 04 | Washington | ~3.5M | 1.61× | |
| 05 | Florida | ~10M | 1.60× | |
| 06 | New York | ~9.5M | 1.59× | |
| 07 | Illinois | ~5.5M | 1.48× | |
| 08 | Virginia | ~3.5M | 1.41× | |
| 09 | Massachusetts | ~3M | 1.40× | |
| 10 | Maryland | ~2.5M | 1.37× | |
| 11 | Nevada | ~1.5M | 1.36× | |
| 12 | Connecticut | ~1.5M | 1.34× | |
| 13 | New Mexico | ~800K | 1.21× | |
| 14 | Arizona | ~2.5M | 1.19× | |
| 15 | Utah | ~1M | 1.18× | |
| 16 | Oregon | ~1.5M | 1.14× | |
| 17 | Washington, District of Columbia | ~200K | 1.13× | |
| 18 | Colorado | ~2M | 1.12× | |
| 19 | Georgia | ~3.5M | 1.03× | |
| 20 | North Carolina | ~3.5M | 1.02× | |
| 21 | Idaho | ~500K | 0.94× | |
| 22 | Alaska | ~200K | 0.91× | |
| 23 | Kansas | ~800K | 0.90× | |
| 24 | Rhode Island | ~300K | 0.90× | |
| 25 | Minnesota | ~1.5M | 0.87× | |
| 26 | Hawaii | ~400K | 0.86× | |
| 27 | Oklahoma | ~1M | 0.85× | |
| 28 | Nebraska | ~500K | 0.83× | |
| 29 | Indiana | ~1.5M | 0.82× | |
| 30 | Iowa | ~800K | 0.81× | |
| 31 | Michigan | ~2.5M | 0.80× | |
| 32 | Arkansas | ~700K | 0.80× | |
| 33 | Tennessee | ~1.5M | 0.79× | |
| 34 | Missouri | ~1.5M | 0.77× | |
| 35 | Wisconsin | ~1.5M | 0.76× | |
| 36 | Delaware | ~200K | 0.76× | |
| 37 | Pennsylvania | ~3M | 0.74× | |
| 38 | New Hampshire | ~300K | 0.74× | |
| 39 | Vermont | ~100K | 0.73× | |
| 40 | South Carolina | ~1M | 0.70× | |
| 41 | Ohio | ~2.5M | 0.68× | |
| 42 | North Dakota | ~200K | 0.66× | |
| 43 | Maine | ~300K | 0.64× | |
| 44 | Kentucky | ~800K | 0.62× | |
| 45 | Montana | ~200K | 0.60× | |
| 46 | South Dakota | ~200K | 0.60× | |
| 47 | Alabama | ~800K | 0.55× | |
| 48 | Louisiana | ~700K | 0.53× | |
| 49 | Mississippi | ~400K | 0.43× | |
| 50 | West Virginia | ~200K | 0.43× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Kevin De Bruyne | Sports | 11.09× | ||
| 02 | Los Angeles FC | Sports | 8.65× | ||
| 03 | FIFA World Cup 2026 | Sports | 5.22× | ||
| 04 | National Women's Soccer League | Sports | 4.83× | ||
| 05 | Liga MX | Sports | 4.72× | ||
| 06 | UEFA Champions League | Sports | 3.94× | ||
| 07 | Erling Haaland | Sports | 3.68× | ||
| 08 | Premier League | Sports | 3.46× | ||
| 09 | Caribbean | Travel & Leisure | 3.36× | ||
| 10 | Argentina | Travel & Leisure | 3.26× | ||
| 11 | South America | Travel & Leisure | 3.13× | ||
| 12 | Spain | Travel & Leisure | 2.91× | ||
| 13 | Team sport | Sports | 2.90× | ||
| 14 | Pacific Ocean | Travel & Leisure | 2.87× | ||
| 15 | Latin America | Travel & Leisure | 2.78× | ||
| 16 | Mexico | Travel & Leisure | 2.65× | ||
| 17 | Soccer | Sports | 2.63× | ||
| 18 | Real Madrid Club de Fútbol | Sports | 2.59× | ||
| 19 | Video | Movies & TV | 2.40× | ||
| 20 | Transport | Cars & Mobility | 1.60× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 1.20× | |
| Mindfulness | BALANCE | 1.18× | |
| Travelling | THRILL | 1.18× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Community Orientation | OPEN | 0.74× | |
| Patriotism | CONSERVATISM | 0.79× | |
| Need for Security | CONSERVATISM | 0.79× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/us/fifa-world-cup-7280” · Methodology