A data profile of the people who buy, follow and care about House music in United States — modelled from more than twelve digital signal sources. House music has an estimated audience of 23,878,037 people in United States.
The average House music fan in United States is 34.4 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Electronic music, Electronic dance music, Scooby-Doo, with strongest over-indexing on Electronic music (3.32× the country average).
Demographically, the House music audience skews balanced with an average age of 34.4, and over-indexes on personality traits such as Luxury Orientation, Pet Ownership.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical House music fan in United States is balanced, around 34.4 years old, with strong Luxury Orientation tendencies and a notable affinity for Electronic music.
The key figures that characterise the House music profile in United States.
47.9% are female, 52.1% are male, average age 34.4.
| Metric | Value |
|---|---|
| Female | 47.9% |
| Male | 52.1% |
| Average age | 34.4 |
| Estimated audience size | 23,878,037 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 31% | |
| 20-29 | 23% | |
| 30-39 | 18% | |
| 40-49 | 15% | |
| 50+ | 12% |
Where the House music audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Illinois | ~1.5M | 2.14× | |
| 02 | New Jersey | ~1M | 1.63× | |
| 03 | New York | ~2M | 1.51× | |
| 04 | California | ~3.5M | 1.39× | |
| 05 | Washington, District of Columbia | ~100K | 1.39× | |
| 06 | Massachusetts | ~600K | 1.31× | |
| 07 | Maryland | ~500K | 1.30× | |
| 08 | Connecticut | ~300K | 1.27× | |
| 09 | Florida | ~2M | 1.20× | |
| 10 | Virginia | ~700K | 1.14× | |
| 11 | Nevada | ~300K | 1.14× | |
| 12 | Washington | ~500K | 1.11× | |
| 13 | Texas | ~2M | 1.08× | |
| 14 | North Carolina | ~800K | 1.06× | |
| 15 | Colorado | ~400K | 1.06× | |
| 16 | Georgia | ~800K | 1.05× | |
| 17 | Rhode Island | ~80K | 1.05× | |
| 18 | Michigan | ~600K | 1.04× | |
| 19 | Vermont | ~40K | 1.03× | |
| 20 | Arizona | ~500K | 1.02× | |
| 21 | Pennsylvania | ~800K | 1.01× | |
| 22 | Indiana | ~400K | 1.01× | |
| 23 | Hawaii | ~100K | 0.99× | |
| 24 | Delaware | ~60K | 0.99× | |
| 25 | Wisconsin | ~400K | 0.98× | |
| 26 | Oregon | ~300K | 0.98× | |
| 27 | New Hampshire | ~90K | 0.96× | |
| 28 | Minnesota | ~300K | 0.95× | |
| 29 | Utah | ~200K | 0.95× | |
| 30 | Alaska | ~50K | 0.95× | |
| 31 | South Carolina | ~300K | 0.92× | |
| 32 | North Dakota | ~40K | 0.91× | |
| 33 | Missouri | ~300K | 0.90× | |
| 34 | Kansas | ~200K | 0.89× | |
| 35 | New Mexico | ~100K | 0.89× | |
| 36 | Nebraska | ~100K | 0.89× | |
| 37 | Maine | ~80K | 0.89× | |
| 38 | Ohio | ~600K | 0.88× | |
| 39 | Idaho | ~100K | 0.88× | |
| 40 | Montana | ~60K | 0.88× | |
| 41 | South Dakota | ~50K | 0.88× | |
| 42 | Oklahoma | ~200K | 0.86× | |
| 43 | Iowa | ~200K | 0.86× | |
| 44 | West Virginia | ~100K | 0.86× | |
| 45 | Louisiana | ~300K | 0.84× | |
| 46 | Tennessee | ~400K | 0.83× | |
| 47 | Kentucky | ~200K | 0.83× | |
| 48 | Arkansas | ~200K | 0.83× | |
| 49 | Mississippi | ~200K | 0.82× | |
| 50 | Alabama | ~300K | 0.81× |
The strongest cross-interests of the House music audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Deep house | Music & Radio | 8.33× | ||
| 02 | Tech house | Music & Radio | 8.00× | ||
| 03 | Electronic dance music | Music & Radio | 5.83× | ||
| 04 | Rave | Music & Radio | 5.31× | ||
| 05 | Scooby-Doo | Movies & TV | 4.72× | ||
| 06 | Gangsta rap | Music & Radio | 4.58× | ||
| 07 | West Coast hip hop | Music & Radio | 4.07× | ||
| 08 | Alternative hip hop | Music & Radio | 3.33× | ||
| 09 | Electronic music | Music & Radio | 3.32× | ||
| 10 | New York Yankees | Sports | 3.20× | ||
| 11 | Livemusic | Music & Radio | 2.96× | ||
| 12 | Rock and roll | Music & Radio | 2.24× | ||
| 13 | Classical music | Music & Radio | 2.21× | ||
| 14 | Jazz music | Music & Radio | 2.18× | ||
| 15 | Heavy metal music | Music & Radio | 2.12× | ||
| 16 | Spotify | Internet & Social Media | 2.04× | ||
| 17 | Meme | Internet & Social Media | 2.01× | ||
| 18 | Rhythm and blues music | Music & Radio | 1.97× | ||
| 19 | Popular music | Music & Radio | 1.93× | ||
| 20 | Vehicles | Cars & Mobility | 1.53× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Luxury Orientation | PREMIUM | 1.72× | |
| Pet Ownership | JOY | 1.63× | |
| Healthy Lifestyle | BALANCE | 1.62× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 0.72× | |
| Community Orientation | OPEN | 0.87× | |
| Family Orientation | CONSERVATISM | 0.92× |
House music has an estimated audience of 23,878,037 people in United States, concentrated in California and Texas.
47.9% of House music fans are female, 52.1% are male, with an average age of 34.4 years.
House music fans show strongest brand affinity for Electronic music (3.32×), Electronic dance music (5.83×), and Scooby-Doo (4.72×) over the country average.
House music fans in United States are most concentrated in California (reach ~3.5M), Texas (reach ~2M), and New York (reach ~2M). These three regions account for the largest share of the active audience.
Beyond House music itself, the audience over-indexes on Electronic dance music (5.83×), Scooby-Doo (4.72×), Tech house (8×), and West Coast hip hop (4.07×) compared to the United States average.
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in United States who actively search for House music. Affinity is an over-index ratio: 2.0× means the audience is twice as likely to engage with that brand or trait as the country average. Reach is the estimated number of audience members in a region. Regional and brand-affinity tables are sorted from strongest signal to weakest.
This audience profile is generated by Rascasse from anonymized search-behavior signals across United States. For methodology see methodology. Affinity values are over-index ratios vs. the country average (1.0 = baseline). Audience sizes are estimated, not measured.
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