TikTok has an estimated audience of 109.1M people in United States.
The average TikTok fan in United States is 21.8 years old, more female, and lives primarily in California.
By number of fans, TikTok ranks #3 among the 39 objects in Social media in United States — 53.8× the group median.
Its fans are 15.7 years younger than the group average of 37.5.
Women make up 65.7% of the fan base, 10.6 percentage points more than the group average.
Compared with the other 38 objects in Social media, TikTok fans stand out for their interest in Kesha, Discord and Jessica Alba.
Most fans live in California, Texas, Florida.
Top affinities include Kesha, Discord, Jessica Alba, with strongest over-indexing on Kesha (6.68× the country average).
Demographically, the TikTok audience skews more female with an average age of 21.8, and over-indexes on personality traits such as Early Adopter Mentality, Luxury Orientation.
The typical TikTok fan in United States is more female, around 21.8 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Kesha.
65.7% are female, 34.3% are male, average age 21.8.
| Metric | Value |
|---|---|
| Female | 65.7% |
| Male | 34.3% |
| Average age | 21.8 |
| Estimated audience size | 109.1M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 86% | |
| 25-34 | 11% | |
| 35-44 | 1% | |
| 45-54 | 1% | |
| 55+ | 1% |
of the worldwide TikTok audience comes from United States.
| Country | Share |
|---|---|
| China | 16.9% |
| United States | 11.1% |
| Japan | 4.5% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Louisiana | ~2M | 1.28× | |
| 02 | California | ~16M | 1.27× | |
| 03 | Virginia | ~3.5M | 1.24× | |
| 04 | Mississippi | ~1M | 1.24× | |
| 05 | Texas | ~9M | 1.23× | |
| 06 | Georgia | ~4.5M | 1.21× | |
| 07 | Oklahoma | ~1.5M | 1.18× | |
| 08 | Arkansas | ~1M | 1.16× | |
| 09 | Florida | ~8M | 1.15× | |
| 10 | Nevada | ~1M | 1.14× | |
| 11 | Tennessee | ~2.5M | 1.11× | |
| 12 | Kentucky | ~1.5M | 1.11× | |
| 13 | New Jersey | ~3.5M | 1.10× | |
| 14 | Kansas | ~1M | 1.10× | |
| 15 | Washington | ~2.5M | 1.09× | |
| 16 | Maryland | ~2M | 1.09× | |
| 17 | New York | ~7M | 1.08× | |
| 18 | Oregon | ~1.5M | 1.08× | |
| 19 | New Mexico | ~700K | 1.07× | |
| 20 | North Carolina | ~4M | 1.05× | |
| 21 | Missouri | ~2M | 1.05× | |
| 22 | Alabama | ~1.5M | 1.05× | |
| 23 | South Carolina | ~2M | 1.03× | |
| 24 | Arizona | ~2.5M | 1.02× | |
| 25 | Utah | ~1M | 1.01× | |
| 26 | Ohio | ~4M | 1.00× | |
| 27 | Connecticut | ~1M | 1.00× | |
| 28 | Illinois | ~4M | 0.97× | |
| 29 | Michigan | ~3M | 0.97× | |
| 30 | Indiana | ~2M | 0.97× | |
| 31 | Rhode Island | ~300K | 0.95× | |
| 32 | South Dakota | ~300K | 0.95× | |
| 33 | Pennsylvania | ~4M | 0.94× | |
| 34 | Iowa | ~1M | 0.94× | |
| 35 | North Dakota | ~200K | 0.94× | |
| 36 | West Virginia | ~500K | 0.92× | |
| 37 | Nebraska | ~600K | 0.91× | |
| 38 | Massachusetts | ~2M | 0.90× | |
| 39 | Minnesota | ~1.5M | 0.90× | |
| 40 | Delaware | ~300K | 0.89× | |
| 41 | Idaho | ~500K | 0.88× | |
| 42 | Wisconsin | ~1.5M | 0.87× | |
| 43 | Colorado | ~1.5M | 0.86× | |
| 44 | Washington, District of Columbia | ~200K | 0.84× | |
| 45 | Hawaii | ~400K | 0.83× | |
| 46 | Maine | ~400K | 0.80× | |
| 47 | Alaska | ~200K | 0.80× | |
| 48 | New Hampshire | ~300K | 0.78× | |
| 49 | Montana | ~300K | 0.73× | |
| 50 | Vermont | ~100K | 0.69× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Kesha | Music & Radio | 6.68× | ||
| 02 | Discord | Internet & Social Media | 5.71× | ||
| 03 | Jessica Alba | Movies & TV | 3.94× | ||
| 04 | Kendall Jenner | Fashion & Accessoires | 3.82× | ||
| 05 | Long hair | Beauty & Wellness | 3.77× | ||
| 06 | Kylie Jenner | Movies & TV | 3.26× | ||
| 07 | Natural skin care | Beauty & Wellness | 3.20× | ||
| 08 | Selena Gomez | Movies & TV | 2.98× | ||
| 09 | Hair Extensions | Beauty & Wellness | 2.84× | ||
| 10 | Hair conditioner | Beauty & Wellness | 2.82× | ||
| 11 | Curly Hair | Beauty & Wellness | 2.61× | ||
| 12 | Twitch | Games | 2.59× | ||
| 13 | Underground hip hop | Music & Radio | 2.58× | ||
| 14 | Zendaya | Movies & TV | 2.54× | ||
| 15 | ULTA Beauty | Beauty & Wellness | 1.93× | ||
| 16 | Dollar Tree | Shopping | 1.83× | ||
| 17 | Self care | Health | 1.82× | ||
| 18 | Google Drive | Technology & Electronics | 1.71× | ||
| 19 | Nike | Fashion & Accessoires | 1.68× | ||
| 20 | Beauty | Beauty & Wellness | 1.55× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.26× | |
| Luxury Orientation | PREMIUM | 1.24× | |
| Social Media Usage | JOY | 1.21× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.61× | |
| Need for Security | CONSERVATISM | 0.62× | |
| Career Orientation | POWER | 0.74× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/us/tiktok-10000681” · Methodology