A data profile of the people who buy, follow and care about Online music store in United States — modelled from more than twelve digital signal sources. Online music store has an estimated audience of 4,610,328 people in United States.
The average Online music store fan in United States is 37.8 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Google Play Music, Data security, Joan Cusack, with strongest over-indexing on Google Play Music (31.04× the country average).
Demographically, the Online music store audience skews more male with an average age of 37.8, and over-indexes on personality traits such as Need for Security, Early Adopter Mentality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Online music store fan in United States is more male, around 37.8 years old, with strong Need for Security tendencies and a notable affinity for Google Play Music.
The key figures that characterise the Online music store profile in United States.
42.9% are female, 57.1% are male, average age 37.8.
| Metric | Value |
|---|---|
| Female | 42.9% |
| Male | 57.1% |
| Average age | 37.8 |
| Estimated audience size | 4,610,328 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 23% | |
| 20-29 | 20% | |
| 30-39 | 20% | |
| 40-49 | 20% | |
| 50+ | 18% |
of the worldwide Online music store audience comes from United States.
| Country | Share |
|---|---|
| United States | 25.2% |
| Germany | 10.2% |
| United Kingdom | 6.1% |
Where the Online music store audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Ohio | ~200K | 1.38× | |
| 02 | Indiana | ~100K | 1.33× | |
| 03 | Kentucky | ~70K | 1.28× | |
| 04 | Tennessee | ~100K | 1.23× | |
| 05 | West Virginia | ~30K | 1.21× | |
| 06 | Oregon | ~60K | 1.19× | |
| 07 | Pennsylvania | ~200K | 1.17× | |
| 08 | New Mexico | ~30K | 1.16× | |
| 09 | Michigan | ~100K | 1.13× | |
| 10 | Arkansas | ~40K | 1.13× | |
| 11 | Maine | ~20K | 1.13× | |
| 12 | Vermont | ~9K | 1.10× | |
| 13 | Wisconsin | ~80K | 1.09× | |
| 14 | Alabama | ~70K | 1.07× | |
| 15 | Alaska | ~10K | 1.07× | |
| 16 | Mississippi | ~40K | 1.06× | |
| 17 | Montana | ~10K | 1.06× | |
| 18 | Utah | ~40K | 1.03× | |
| 19 | New Hampshire | ~20K | 1.03× | |
| 20 | North Dakota | ~10K | 1.02× | |
| 21 | Georgia | ~100K | 1.01× | |
| 22 | Hawaii | ~20K | 1.01× | |
| 23 | Connecticut | ~50K | 0.99× | |
| 24 | Nebraska | ~20K | 0.98× | |
| 25 | South Dakota | ~10K | 0.98× | |
| 26 | Idaho | ~20K | 0.97× | |
| 27 | Delaware | ~10K | 0.97× | |
| 28 | Colorado | ~70K | 0.96× | |
| 29 | Louisiana | ~60K | 0.96× | |
| 30 | Washington | ~90K | 0.95× | |
| 31 | Missouri | ~70K | 0.94× | |
| 32 | South Carolina | ~70K | 0.94× | |
| 33 | Oklahoma | ~50K | 0.93× | |
| 34 | Rhode Island | ~10K | 0.93× | |
| 35 | North Carolina | ~100K | 0.92× | |
| 36 | Massachusetts | ~80K | 0.92× | |
| 37 | Minnesota | ~60K | 0.91× | |
| 38 | Iowa | ~30K | 0.91× | |
| 39 | Kansas | ~30K | 0.91× | |
| 40 | California | ~400K | 0.88× | |
| 41 | Virginia | ~100K | 0.88× | |
| 42 | Illinois | ~100K | 0.87× | |
| 43 | Washington, District of Columbia | ~10K | 0.87× | |
| 44 | Nevada | ~40K | 0.82× | |
| 45 | Florida | ~300K | 0.81× | |
| 46 | New York | ~200K | 0.81× | |
| 47 | New Jersey | ~90K | 0.80× | |
| 48 | Arizona | ~70K | 0.79× | |
| 49 | Maryland | ~60K | 0.78× | |
| 50 | Texas | ~300K | 0.77× |
The strongest cross-interests of the Online music store audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Google Play Music | Music & Radio | 31.04× | ||
| 02 | Joan Cusack | Movies & TV | 14.42× | ||
| 03 | Data security | Business & Career | 13.47× | ||
| 04 | Chromecast | Technology & Electronics | 12.96× | ||
| 05 | Bill Hader | Movies & TV | 12.88× | ||
| 06 | Lawrence | Music & Radio | 12.25× | ||
| 07 | Digital media player | Technology & Electronics | 11.85× | ||
| 08 | Ratatouille (film) | Movies & TV | 9.31× | ||
| 09 | Fantastic Four | Literature | 6.02× | ||
| 10 | Apple Music | Music & Radio | 5.30× | ||
| 11 | Jenna Ortega | Movies & TV | 5.23× | ||
| 12 | Macy's | Shopping | 2.86× | ||
| 13 | Spotify | Internet & Social Media | 2.45× | ||
| 14 | Woman | Kids & Family | 2.00× | ||
| 15 | Beverages | Food & Beverages | 1.74× | ||
| 16 | United States | Travel & Leisure | 1.73× | ||
| 17 | Food and drink | Food & Beverages | 1.70× | ||
| 18 | Business | Business & Career | 1.66× | ||
| 19 | Food | Food & Beverages | 1.65× | ||
| 20 | Fitness and wellness | Sports | 1.57× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 1.73× | |
| Early Adopter Mentality | POWER | 1.60× | |
| Quality Awareness | PREMIUM | 1.57× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 0.78× | |
| DIY Mentality | THRILL | 0.95× | |
| Sustainability | BALANCE | 0.98× |
Online music store has an estimated audience of 4,610,328 people in United States, concentrated in California and Texas.
42.9% of Online music store fans are female, 57.1% are male, with an average age of 37.8 years.
Online music store fans show strongest brand affinity for Google Play Music (31.04×), Data security (13.47×), and Joan Cusack (14.42×) over the country average.
Online music store fans in United States are most concentrated in California (reach ~400K), Texas (reach ~300K), and Florida (reach ~300K). These three regions account for the largest share of the active audience.
Beyond Online music store itself, the audience over-indexes on Data security (13.47×), Joan Cusack (14.42×), Apple Music (5.3×), and Jenna Ortega (5.23×) 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 Online music store. 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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