Clubhouse has an estimated audience of 1.6M people in United States.
The average Clubhouse fan in United States is 34.9 years old, more female, and lives primarily in Texas.
By number of fans, Clubhouse ranks #23 among the 39 objects in Social media in United States — 0.8× the group median.
Its fans are 2.2 years younger than the group average of 37.1.
Compared with the other 38 objects in Social media, Clubhouse fans stand out for their interest in International education, Kesha and Influencer marketing.
Most fans live in Texas, California, Florida.
Top affinities include International education, Kesha, Influencer marketing, with strongest over-indexing on International education (7.3× the country average).
Demographically, the Clubhouse audience skews more female with an average age of 34.9, and over-indexes on personality traits such as Early Adopter Mentality, Community Orientation.
The typical Clubhouse fan in United States is more female, around 34.9 years old, with strong Early Adopter Mentality tendencies and a notable affinity for International education.
56.3% are female, 43.7% are male, average age 34.9.
| Metric | Value |
|---|---|
| Female | 56.3% |
| Male | 43.7% |
| Average age | 34.9 |
| Estimated audience size | 1.6M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 35% | |
| 25-34 | 21% | |
| 35-44 | 16% | |
| 45-54 | 15% | |
| 55+ | 14% |
of the worldwide Clubhouse audience comes from United States.
| Country | Share |
|---|---|
| United States | 28.6% |
| India | 20.2% |
| China | 5.3% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Texas | ~700K | 6.76× | |
| 02 | Florida | ~200K | 1.78× | |
| 03 | Illinois | ~100K | 1.75× | |
| 04 | Montana | ~9K | 1.70× | |
| 05 | California | ~300K | 1.57× | |
| 06 | Washington | ~50K | 1.51× | |
| 07 | North Carolina | ~80K | 1.48× | |
| 08 | New Jersey | ~60K | 1.46× | |
| 09 | Oklahoma | ~20K | 1.32× | |
| 10 | Nevada | ~20K | 1.32× | |
| 11 | South Dakota | ~5K | 1.27× | |
| 12 | New York | ~100K | 1.13× | |
| 13 | Ohio | ~60K | 1.11× | |
| 14 | Massachusetts | ~40K | 1.10× | |
| 15 | Pennsylvania | ~60K | 1.02× | |
| 16 | Georgia | ~50K | 1.02× | |
| 17 | Connecticut | ~20K | 0.97× | |
| 18 | Kentucky | ~20K | 0.96× | |
| 19 | North Dakota | ~3K | 0.95× | |
| 20 | Indiana | ~30K | 0.89× | |
| 21 | Utah | ~10K | 0.87× | |
| 22 | Hawaii | ~6K | 0.87× | |
| 23 | Virginia | ~30K | 0.86× | |
| 24 | South Carolina | ~20K | 0.85× | |
| 25 | Alabama | ~20K | 0.85× | |
| 26 | Louisiana | ~20K | 0.82× | |
| 27 | Oregon | ~20K | 0.81× | |
| 28 | Delaware | ~4K | 0.80× | |
| 29 | Missouri | ~20K | 0.79× | |
| 30 | Alaska | ~3K | 0.79× | |
| 31 | Vermont | ~2K | 0.79× | |
| 32 | Arizona | ~30K | 0.77× | |
| 33 | Maryland | ~20K | 0.74× | |
| 34 | Wisconsin | ~20K | 0.74× | |
| 35 | Washington, District of Columbia | ~2K | 0.74× | |
| 36 | Minnesota | ~20K | 0.72× | |
| 37 | Mississippi | ~10K | 0.72× | |
| 38 | Tennessee | ~20K | 0.71× | |
| 39 | Maine | ~4K | 0.71× | |
| 40 | New Hampshire | ~4K | 0.71× | |
| 41 | Arkansas | ~10K | 0.70× | |
| 42 | Rhode Island | ~3K | 0.70× | |
| 43 | Michigan | ~30K | 0.69× | |
| 44 | West Virginia | ~6K | 0.67× | |
| 45 | Colorado | ~20K | 0.66× | |
| 46 | Kansas | ~9K | 0.66× | |
| 47 | Idaho | ~6K | 0.66× | |
| 48 | New Mexico | ~6K | 0.65× | |
| 49 | Nebraska | ~6K | 0.65× | |
| 50 | Iowa | ~9K | 0.63× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | International education | Business & Career | 7.30× | ||
| 02 | Kesha | Music & Radio | 4.64× | ||
| 03 | Influencer marketing | Internet & Social Media | 4.15× | ||
| 04 | Scarface (1983 film) | Movies & TV | 3.90× | ||
| 05 | Disneyland Paris | Travel & Leisure | 3.42× | ||
| 06 | Bumble | Internet & Social Media | 3.15× | ||
| 07 | Snapchat | Internet & Social Media | 3.04× | ||
| 08 | Pandora | Fashion & Accessoires | 2.70× | ||
| 09 | TikTok | Internet & Social Media | 2.66× | ||
| 10 | Affiliate marketing | Business & Career | 2.27× | ||
| 11 | Ariana Grande | Music & Radio | 2.03× | ||
| 12 | Dancehalls | Music & Radio | 1.89× | ||
| 13 | Diane Keaton | Movies & TV | 1.76× | ||
| 14 | Google Drive | Technology & Electronics | 1.75× | ||
| 15 | Anime and manga fandom | Literature | 1.72× | ||
| 16 | Digital photography | Business & Career | 1.71× | ||
| 17 | Hair Extensions | Beauty & Wellness | 1.68× | ||
| 18 | Innovation | Business & Career | 1.58× | ||
| 19 | Radio | Technology & Electronics | 1.55× | ||
| 20 | Lace wig | Beauty & Wellness | 1.50× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.32× | |
| Community Orientation | OPEN | 1.25× | |
| Indulgence | JOY | 1.25× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.90× | |
| Creativity | OPEN | 0.94× | |
| Healthy Lifestyle | BALANCE | 0.98× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/us/clubhouse-10002974” · Methodology