Don Toliver has an estimated audience of 5.4M people in United States.
The average Don Toliver fan in United States is 26.7 years old, more male, and lives primarily in California.
By number of fans, Don Toliver ranks #35 among the 1357 objects in Hip hop in United States — 1.3× the group median.
Its fans are 5.4 years younger than the group average of 32.1.
Women make up 42.8% of the fan base, 7.0 percentage points fewer than the group average.
Compared with the other 1356 objects in Hip hop, Don Toliver fans stand out for their interest in Gunna, Tatyana Ali and Fat Joe.
Interest is seasonal: April, May and June account for 38% of the year's searches, December is the quietest month.
Most fans live in California, Texas, New York.
Top affinities include Gunna, Tatyana Ali, Fat Joe, with strongest over-indexing on Gunna (50.12× the country average).
Demographically, the Don Toliver audience skews more male with an average age of 26.7, and over-indexes on personality traits such as Early Adopter Mentality, Price Sensitivity.
The typical Don Toliver fan in United States is more male, around 26.7 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Gunna.
42.8% are female, 57.2% are male, average age 26.7.
| Metric | Value |
|---|---|
| Female | 42.8% |
| Male | 57.2% |
| Average age | 26.7 |
| Estimated audience size | 5.4M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 56% | |
| 25-34 | 27% | |
| 35-44 | 11% | |
| 45-54 | 5% | |
| 55+ | 2% |
of the worldwide Don Toliver audience comes from United States.
| Country | Share |
|---|---|
| United States | 66.5% |
| Canada | 5.8% |
| United Kingdom | 3.1% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Texas | ~600K | 1.55× | |
| 02 | Georgia | ~300K | 1.49× | |
| 03 | California | ~900K | 1.47× | |
| 04 | New Jersey | ~200K | 1.37× | |
| 05 | Arizona | ~200K | 1.35× | |
| 06 | Connecticut | ~80K | 1.35× | |
| 07 | Maryland | ~100K | 1.34× | |
| 08 | Nevada | ~70K | 1.32× | |
| 09 | Illinois | ~300K | 1.25× | |
| 10 | North Carolina | ~200K | 1.25× | |
| 11 | Pennsylvania | ~300K | 1.22× | |
| 12 | Oklahoma | ~80K | 1.22× | |
| 13 | Massachusetts | ~100K | 1.20× | |
| 14 | New York | ~400K | 1.19× | |
| 15 | Washington, District of Columbia | ~10K | 1.19× | |
| 16 | Virginia | ~200K | 1.18× | |
| 17 | Washington | ~100K | 1.15× | |
| 18 | Michigan | ~200K | 1.11× | |
| 19 | Arkansas | ~50K | 1.10× | |
| 20 | Ohio | ~200K | 1.07× | |
| 21 | Wisconsin | ~100K | 1.07× | |
| 22 | South Carolina | ~90K | 1.06× | |
| 23 | Louisiana | ~80K | 1.06× | |
| 24 | Minnesota | ~100K | 1.05× | |
| 25 | Kansas | ~50K | 1.05× | |
| 26 | Florida | ~400K | 1.04× | |
| 27 | Delaware | ~20K | 1.04× | |
| 28 | Missouri | ~100K | 1.02× | |
| 29 | Colorado | ~90K | 1.00× | |
| 30 | Rhode Island | ~20K | 0.99× | |
| 31 | Indiana | ~100K | 0.96× | |
| 32 | Alabama | ~70K | 0.91× | |
| 33 | Utah | ~50K | 0.91× | |
| 34 | Tennessee | ~100K | 0.87× | |
| 35 | Oregon | ~60K | 0.84× | |
| 36 | Mississippi | ~40K | 0.83× | |
| 37 | New Mexico | ~30K | 0.83× | |
| 38 | Nebraska | ~30K | 0.82× | |
| 39 | New Hampshire | ~20K | 0.80× | |
| 40 | Kentucky | ~60K | 0.78× | |
| 41 | Hawaii | ~20K | 0.77× | |
| 42 | Iowa | ~40K | 0.75× | |
| 43 | West Virginia | ~20K | 0.73× | |
| 44 | North Dakota | ~9K | 0.70× | |
| 45 | Idaho | ~20K | 0.67× | |
| 46 | South Dakota | ~10K | 0.66× | |
| 47 | Vermont | ~7K | 0.64× | |
| 48 | Alaska | ~7K | 0.63× | |
| 49 | Maine | ~10K | 0.62× | |
| 50 | Montana | ~10K | 0.59× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Gunna | Music & Radio | 50.12× | ||
| 02 | Tatyana Ali | Movies & TV | 22.33× | ||
| 03 | Fat Joe | Music & Radio | 15.49× | ||
| 04 | Chief Keef | Music & Radio | 14.73× | ||
| 05 | Bernie Mac | Movies & TV | 14.39× | ||
| 06 | Luther Vandross | Music & Radio | 14.14× | ||
| 07 | Anthony Joshua | Sports | 9.28× | ||
| 08 | Digital audio workstation | Technology & Electronics | 9.01× | ||
| 09 | Rick and Morty | Movies & TV | 8.30× | ||
| 10 | Hair Extensions | Beauty & Wellness | 8.29× | ||
| 11 | Megan Fox | Movies & TV | 7.63× | ||
| 12 | Teyana Taylor | Movies & TV | 7.55× | ||
| 13 | ASAP Rocky | Music & Radio | 7.25× | ||
| 14 | High-definition television | Technology & Electronics | 2.87× | ||
| 15 | LeBron James | Sports | 2.82× | ||
| 16 | TikTok | Internet & Social Media | 2.71× | ||
| 17 | Concerts | Music & Radio | 2.39× | ||
| 18 | Consumer electronics | Technology & Electronics | 2.05× | ||
| 19 | Clothing | Fashion & Accessoires | 1.89× | ||
| 20 | Vehicles | Cars & Mobility | 1.80× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.57× | |
| Price Sensitivity | PREMIUM | 1.47× | |
| Tradition | CONSERVATISM | 1.46× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.58× | |
| DIY Mentality | THRILL | 0.82× | |
| Sustainability | BALANCE | 0.87× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/us/don-toliver-10001930” · Methodology