A data profile of the people who buy, follow and care about Mongoose (bicycles) in United States — modelled from more than twelve digital signal sources. Mongoose (bicycles) has an estimated audience of 1,290,974 people in United States.
The average Mongoose (bicycles) fan in United States is 32.4 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include DeviantArt, Takashi Murakami, Hayley Williams, with strongest over-indexing on DeviantArt (50.49× the country average).
Demographically, the Mongoose (bicycles) audience skews balanced with an average age of 32.4, and over-indexes on personality traits such as Indulgence, Risk Appetite.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Mongoose (bicycles) fan in United States is balanced, around 32.4 years old, with strong Indulgence tendencies and a notable affinity for DeviantArt.
The key figures that characterise the Mongoose (bicycles) profile in United States.
48.1% are female, 51.9% are male, average age 32.4.
| Metric | Value |
|---|---|
| Female | 48.1% |
| Male | 51.9% |
| Average age | 32.4 |
| Estimated audience size | 1,290,974 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 29% | |
| 20-29 | 34% | |
| 30-39 | 17% | |
| 40-49 | 13% | |
| 50+ | 7% |
of the worldwide Mongoose (bicycles) audience comes from United States.
| Country | Share |
|---|---|
| United States | 49.1% |
| United Kingdom | 8.8% |
| South Africa | 7.2% |
Where the Mongoose (bicycles) audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Hawaii | ~50K | 9.84× | |
| 02 | Oregon | ~10K | 0.98× | |
| 03 | Utah | ~10K | 0.98× | |
| 04 | Alaska | ~2K | 0.95× | |
| 05 | Washington | ~20K | 0.94× | |
| 06 | Oklahoma | ~10K | 0.93× | |
| 07 | Montana | ~3K | 0.92× | |
| 08 | Idaho | ~5K | 0.91× | |
| 09 | California | ~100K | 0.86× | |
| 10 | Arkansas | ~9K | 0.86× | |
| 11 | Texas | ~90K | 0.85× | |
| 12 | Florida | ~70K | 0.85× | |
| 13 | Georgia | ~30K | 0.85× | |
| 14 | North Carolina | ~30K | 0.85× | |
| 15 | Indiana | ~20K | 0.85× | |
| 16 | Colorado | ~20K | 0.85× | |
| 17 | Kentucky | ~10K | 0.85× | |
| 18 | Kansas | ~8K | 0.85× | |
| 19 | West Virginia | ~5K | 0.85× | |
| 20 | North Dakota | ~2K | 0.85× | |
| 21 | Alabama | ~10K | 0.84× | |
| 22 | Mississippi | ~8K | 0.84× | |
| 23 | Vermont | ~2K | 0.84× | |
| 24 | Virginia | ~20K | 0.83× | |
| 25 | Missouri | ~20K | 0.83× | |
| 26 | Connecticut | ~10K | 0.83× | |
| 27 | Pennsylvania | ~30K | 0.81× | |
| 28 | Ohio | ~30K | 0.81× | |
| 29 | Arizona | ~20K | 0.81× | |
| 30 | Tennessee | ~20K | 0.81× | |
| 31 | South Carolina | ~10K | 0.81× | |
| 32 | Maine | ~4K | 0.81× | |
| 33 | Massachusetts | ~20K | 0.80× | |
| 34 | Louisiana | ~10K | 0.80× | |
| 35 | Iowa | ~8K | 0.80× | |
| 36 | Nebraska | ~5K | 0.80× | |
| 37 | New Mexico | ~5K | 0.80× | |
| 38 | New Hampshire | ~4K | 0.80× | |
| 39 | Minnesota | ~10K | 0.79× | |
| 40 | Illinois | ~30K | 0.78× | |
| 41 | South Dakota | ~2K | 0.78× | |
| 42 | New York | ~50K | 0.77× | |
| 43 | Michigan | ~20K | 0.77× | |
| 44 | Nevada | ~9K | 0.77× | |
| 45 | Maryland | ~20K | 0.76× | |
| 46 | Rhode Island | ~3K | 0.76× | |
| 47 | New Jersey | ~20K | 0.75× | |
| 48 | Wisconsin | ~10K | 0.75× | |
| 49 | Washington, District of Columbia | ~3K | 0.75× | |
| 50 | Delaware | ~2K | 0.71× |
The strongest cross-interests of the Mongoose (bicycles) audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Takashi Murakami | Arts & Culture | 89.98× | ||
| 02 | Bowling for Soup | Music & Radio | 71.06× | ||
| 03 | DeviantArt | Internet & Social Media | 50.49× | ||
| 04 | Van Gogh Museum | Arts & Culture | 48.80× | ||
| 05 | KAWS (artist) | Arts & Culture | 33.03× | ||
| 06 | Mac DeMarco | Music & Radio | 31.87× | ||
| 07 | Hayley Williams | Music & Radio | 31.68× | ||
| 08 | AllSaints | Shopping | 23.45× | ||
| 09 | MGMT | Music & Radio | 22.34× | ||
| 10 | Surfline | Sports | 20.74× | ||
| 11 | Billboard Hot 100 | Music & Radio | 20.22× | ||
| 12 | Tony Hawk | Sports | 19.62× | ||
| 13 | BMX | Sports | 17.00× | ||
| 14 | Shimano | Cars & Mobility | 15.38× | ||
| 15 | Zumiez | Sports | 14.08× | ||
| 16 | Moped | Cars & Mobility | 13.70× | ||
| 17 | Electric motorcycles and scooters | Cars & Mobility | 9.89× | ||
| 18 | Free People | Fashion & Accessoires | 8.01× | ||
| 19 | Poshmark | Shopping | 5.91× | ||
| 20 | ULTA Beauty | Beauty & Wellness | 3.95× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Indulgence | JOY | 3.74× | |
| Risk Appetite | THRILL | 2.25× | |
| Need for Security | CONSERVATISM | 2.18× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.68× | |
| Quality Awareness | PREMIUM | 0.75× | |
| Healthy Lifestyle | BALANCE | 0.89× |
Mongoose (bicycles)'s target market in United States covers an estimated 1,290,974 people, concentrated in California and Texas.
48.1% of the Mongoose (bicycles) audience are female, 51.9% are male, with an average age of 32.4 years.
Mongoose (bicycles) fans show strongest brand affinity for DeviantArt (50.49×), Takashi Murakami (89.98×), and Hayley Williams (31.68×) over the country average.
Mongoose (bicycles) fans in United States are most concentrated in California (reach ~100K), Texas (reach ~90K), and Florida (reach ~70K). These three regions account for the largest share of the active audience.
Beyond Mongoose (bicycles) itself, the audience over-indexes on Takashi Murakami (89.98×), Hayley Williams (31.68×), Van Gogh Museum (48.8×), and Bowling for Soup (71.06×) 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 Mongoose (bicycles). 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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