FIBA Basketball World Cup has an estimated audience of 177K people in United States.
The average FIBA Basketball World Cup fan in United States is 32.3 years old, more male, and lives primarily in California.
Women make up 28.6% of the fan base, 11.2 percentage points fewer than the group average.
Compared with the other 2666 objects in Basketball, FIBA Basketball World Cup fans stand out for their interest in San Francisco 49ers, Kansas City Chiefs and Pittsburgh Steelers.
Interest is seasonal: July, August and September account for 77% of the year's searches, January is the quietest month.
Most fans live in California, New York, Texas.
Top affinities include Caitlin Clark, Devin Booker, WNBA, with strongest over-indexing on Caitlin Clark (8.62× the country average).
Demographically, the FIBA Basketball World Cup audience skews more male with an average age of 32.3, and over-indexes on personality traits such as Social Media Usage, Early Adopter Mentality.
The typical FIBA Basketball World Cup fan in United States is more male, around 32.3 years old, with strong Social Media Usage tendencies and a notable affinity for Caitlin Clark.
28.6% are female, 71.4% are male, average age 32.3.
| Metric | Value |
|---|---|
| Female | 28.6% |
| Male | 71.4% |
| Average age | 32.3 |
| Estimated audience size | 177K |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 40% | |
| 25-34 | 24% | |
| 35-44 | 16% | |
| 45-54 | 12% | |
| 55+ | 9% |
of the worldwide FIBA Basketball World Cup audience comes from United States.
| Country | Share |
|---|---|
| Philippines | 25.1% |
| Germany | 15.6% |
| Italy | 11.2% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Wyoming | <1K | 1.29× | |
| 02 | Vermont | <1K | 1.28× | |
| 03 | South Dakota | <1K | 1.22× | |
| 04 | North Dakota | <1K | 1.22× | |
| 05 | Rhode Island | <1K | 1.13× | |
| 06 | Iowa | ~2K | 1.11× | |
| 07 | Delaware | <1K | 1.11× | |
| 08 | Hawaii | <1K | 1.10× | |
| 09 | West Virginia | ~1K | 1.08× | |
| 10 | Alaska | <1K | 1.08× | |
| 11 | Maine | <1K | 1.06× | |
| 12 | Montana | <1K | 1.06× | |
| 13 | New Hampshire | <1K | 1.05× | |
| 14 | Idaho | ~1K | 1.03× | |
| 15 | New York | ~10K | 1.01× | |
| 16 | Nevada | ~2K | 1.01× | |
| 17 | Mississippi | ~2K | 1.00× | |
| 18 | New Mexico | ~1K | 1.00× | |
| 19 | Arkansas | ~2K | 0.99× | |
| 20 | Nebraska | ~1K | 0.99× | |
| 21 | Kansas | ~2K | 0.97× | |
| 22 | Minnesota | ~3K | 0.96× | |
| 23 | Oklahoma | ~2K | 0.96× | |
| 24 | Connecticut | ~2K | 0.96× | |
| 25 | Massachusetts | ~4K | 0.95× | |
| 26 | New Jersey | ~5K | 0.94× | |
| 27 | Kentucky | ~2K | 0.94× | |
| 28 | Utah | ~2K | 0.94× | |
| 29 | Louisiana | ~2K | 0.92× | |
| 30 | Oregon | ~2K | 0.91× | |
| 31 | Indiana | ~3K | 0.90× | |
| 32 | Maryland | ~3K | 0.90× | |
| 33 | Alabama | ~2K | 0.90× | |
| 34 | Wisconsin | ~3K | 0.89× | |
| 35 | South Carolina | ~3K | 0.89× | |
| 36 | Illinois | ~6K | 0.87× | |
| 37 | Georgia | ~5K | 0.87× | |
| 38 | Virginia | ~4K | 0.87× | |
| 39 | Missouri | ~3K | 0.87× | |
| 40 | Arizona | ~3K | 0.86× | |
| 41 | Tennessee | ~3K | 0.86× | |
| 42 | Colorado | ~3K | 0.86× | |
| 43 | Washington | ~3K | 0.84× | |
| 44 | California | ~20K | 0.83× | |
| 45 | North Carolina | ~5K | 0.82× | |
| 46 | Michigan | ~4K | 0.82× | |
| 47 | Florida | ~9K | 0.79× | |
| 48 | Pennsylvania | ~5K | 0.79× | |
| 49 | Ohio | ~5K | 0.79× | |
| 50 | Texas | ~9K | 0.77× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Caitlin Clark | Sports | 8.62× | ||
| 02 | Devin Booker | Sports | 7.48× | ||
| 03 | WNBA | Sports | 6.32× | ||
| 04 | Stephen Curry | Sports | 4.92× | ||
| 05 | San Francisco 49ers | Sports | 4.30× | ||
| 06 | New York Knicks | Sports | 3.79× | ||
| 07 | Sophie Cunningham | Sports | 3.67× | ||
| 08 | Kansas City Chiefs | Sports | 3.54× | ||
| 09 | Cleveland Cavaliers | Sports | 3.45× | ||
| 10 | NBA playoffs | Sports | 3.23× | ||
| 11 | Pittsburgh Steelers | Sports | 3.10× | ||
| 12 | Green Bay Packers | Sports | 3.05× | ||
| 13 | NBA Finals | Sports | 2.99× | ||
| 14 | NBA TV | Sports | 2.94× | ||
| 15 | Nike | Fashion & Accessoires | 2.50× | ||
| 16 | ESPN | Sports | 2.17× | ||
| 17 | FIFA World Cup | Sports | 1.70× | ||
| 18 | Spotify | Music & Radio | 1.70× | ||
| 19 | Shoes | Fashion & Accessoires | 1.53× | ||
| 20 | Cuisine | Food & Beverages | 1.51× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 1.09× | |
| Early Adopter Mentality | POWER | 1.05× | |
| Risk Appetite | THRILL | 1.02× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Community Orientation | OPEN | 0.43× | |
| Need for Security | CONSERVATISM | 0.45× | |
| Patriotism | CONSERVATISM | 0.48× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/us/fiba-basketball-world-cup-73349” · Methodology