Young Sheldon has an estimated audience of 19.6M people in United States.
The average Young Sheldon fan in United States is 35.2 years old, more female, and lives primarily in California.
By number of fans, Young Sheldon ranks #18 among the 3068 objects in TV series in United States — 2.3× the group median.
Its fans are 3.8 years younger than the group average of 39.0.
Women make up 69.9% of the fan base, 12.7 percentage points more than the group average.
Compared with the other 3067 objects in TV series, Young Sheldon fans stand out for their interest in Anne Hathaway, Weather forecasting and Subway.
Most fans live in California, Texas, Florida.
Top affinities include Anne Hathaway, Weather forecasting, Subway, with strongest over-indexing on Anne Hathaway (5.13× the country average).
Demographically, the Young Sheldon audience skews more female with an average age of 35.2, and over-indexes on personality traits such as Convenience Orientation, Price Sensitivity.
The typical Young Sheldon fan in United States is more female, around 35.2 years old, with strong Convenience Orientation tendencies and a notable affinity for Anne Hathaway.
69.9% are female, 30.1% are male, average age 35.2.
| Metric | Value |
|---|---|
| Female | 69.9% |
| Male | 30.1% |
| Average age | 35.2 |
| Estimated audience size | 19.6M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 27% | |
| 25-34 | 26% | |
| 35-44 | 20% | |
| 45-54 | 17% | |
| 55+ | 9% |
of the worldwide Young Sheldon audience comes from United States.
| Country | Share |
|---|---|
| United States | 38.6% |
| India | 9.4% |
| Italy | 7.7% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Oklahoma | ~300K | 1.29× | |
| 02 | Alabama | ~400K | 1.28× | |
| 03 | Arizona | ~600K | 1.27× | |
| 04 | West Virginia | ~100K | 1.22× | |
| 05 | Arkansas | ~200K | 1.21× | |
| 06 | Kentucky | ~300K | 1.20× | |
| 07 | Indiana | ~500K | 1.15× | |
| 08 | Texas | ~1.5M | 1.14× | |
| 09 | Missouri | ~400K | 1.14× | |
| 10 | Tennessee | ~500K | 1.12× | |
| 11 | Kansas | ~200K | 1.09× | |
| 12 | Michigan | ~600K | 1.07× | |
| 13 | New Mexico | ~100K | 1.07× | |
| 14 | Iowa | ~200K | 1.06× | |
| 15 | Idaho | ~100K | 1.06× | |
| 16 | Alaska | ~40K | 1.06× | |
| 17 | Utah | ~200K | 1.04× | |
| 18 | Ohio | ~700K | 1.03× | |
| 19 | North Carolina | ~700K | 1.03× | |
| 20 | Mississippi | ~200K | 1.03× | |
| 21 | California | ~2.5M | 1.01× | |
| 22 | Illinois | ~800K | 1.01× | |
| 23 | Virginia | ~500K | 1.01× | |
| 24 | South Carolina | ~300K | 1.01× | |
| 25 | North Dakota | ~50K | 1.01× | |
| 26 | Nebraska | ~100K | 0.99× | |
| 27 | South Dakota | ~50K | 0.99× | |
| 28 | Louisiana | ~300K | 0.98× | |
| 29 | Pennsylvania | ~700K | 0.97× | |
| 30 | Washington | ~400K | 0.96× | |
| 31 | Oregon | ~200K | 0.96× | |
| 32 | Nevada | ~200K | 0.96× | |
| 33 | Georgia | ~600K | 0.95× | |
| 34 | Wisconsin | ~300K | 0.95× | |
| 35 | Minnesota | ~300K | 0.95× | |
| 36 | New Jersey | ~500K | 0.93× | |
| 37 | New Hampshire | ~70K | 0.93× | |
| 38 | Wyoming | ~30K | 0.93× | |
| 39 | Maryland | ~300K | 0.92× | |
| 40 | Maine | ~70K | 0.92× | |
| 41 | Montana | ~60K | 0.92× | |
| 42 | Connecticut | ~200K | 0.91× | |
| 43 | Colorado | ~300K | 0.90× | |
| 44 | Florida | ~1M | 0.88× | |
| 45 | Delaware | ~50K | 0.88× | |
| 46 | New York | ~1M | 0.86× | |
| 47 | Massachusetts | ~400K | 0.86× | |
| 48 | Rhode Island | ~50K | 0.83× | |
| 49 | Vermont | ~30K | 0.80× | |
| 50 | Hawaii | ~60K | 0.75× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Anne Hathaway | Movies & TV | 5.13× | ||
| 02 | Weather forecasting | Home & Garden | 4.90× | ||
| 03 | Subway | Food & Beverages | 3.72× | ||
| 04 | Pizza Hut | Food & Beverages | 3.45× | ||
| 05 | QVC | Movies & TV | 3.31× | ||
| 06 | Discount stores | Shopping | 3.06× | ||
| 07 | FedEx | Business & Career | 3.04× | ||
| 08 | TV game shows | Movies & TV | 3.01× | ||
| 09 | Britney Spears | Music & Radio | 3.00× | ||
| 10 | Apple TV | Movies & TV | 2.90× | ||
| 11 | Domino's Pizza | Food & Beverages | 2.82× | ||
| 12 | Mortgage loans | Business & Career | 2.67× | ||
| 13 | McDonald's | Food & Beverages | 2.62× | ||
| 14 | TV talkshows | Movies & TV | 2.45× | ||
| 15 | Shopping malls | Shopping | 2.37× | ||
| 16 | TMZ | Internet & Social Media | 2.22× | ||
| 17 | Internet & Social Media | 2.10× | |||
| 18 | Starbucks | Food & Beverages | 1.98× | ||
| 19 | Internet & Social Media | 1.86× | |||
| 20 | Barbecue | Food & Beverages | 1.70× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 2.59× | |
| Price Sensitivity | PREMIUM | 2.00× | |
| Career Orientation | POWER | 1.64× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 0.46× | |
| Risk Appetite | THRILL | 0.54× | |
| Design Affinity | PREMIUM | 0.58× |
Cite as: “Rascasse Solution, Q2/2026, rascasse.com/explore/us/young-sheldon-173297” · Methodology