A data profile of the people who buy, follow and care about Electronic money in United States — modelled from more than twelve digital signal sources. Electronic money has an estimated audience of 800,501 people in United States.
The average Electronic money fan in United States is 30.3 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Dakota Johnson, Cryptocurrency, Jared Leto, with strongest over-indexing on Dakota Johnson (10.46× the country average).
Demographically, the Electronic money audience skews more male with an average age of 30.3, and over-indexes on personality traits such as Risk Appetite, Need for Security.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Electronic money fan in United States is more male, around 30.3 years old, with strong Risk Appetite tendencies and a notable affinity for Dakota Johnson.
The key figures that characterise the Electronic money profile in United States.
28.0% are female, 72.0% are male, average age 30.3.
| Metric | Value |
|---|---|
| Female | 28.0% |
| Male | 72.0% |
| Average age | 30.3 |
| Estimated audience size | 800,501 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 44% | |
| 20-29 | 24% | |
| 30-39 | 16% | |
| 40-49 | 10% | |
| 50+ | 7% |
Where the Electronic money audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Nebraska | ~7K | 1.73× | |
| 02 | Delaware | ~3K | 1.53× | |
| 03 | Massachusetts | ~20K | 1.41× | |
| 04 | Iowa | ~9K | 1.38× | |
| 05 | Colorado | ~20K | 1.35× | |
| 06 | Minnesota | ~20K | 1.34× | |
| 07 | Pennsylvania | ~40K | 1.32× | |
| 08 | Connecticut | ~10K | 1.25× | |
| 09 | New Jersey | ~30K | 1.24× | |
| 10 | New Hampshire | ~4K | 1.23× | |
| 11 | Utah | ~9K | 1.21× | |
| 12 | Idaho | ~5K | 1.20× | |
| 13 | Maryland | ~20K | 1.18× | |
| 14 | Kansas | ~7K | 1.16× | |
| 15 | Michigan | ~20K | 1.15× | |
| 16 | Wisconsin | ~10K | 1.13× | |
| 17 | Virginia | ~20K | 1.10× | |
| 18 | Ohio | ~30K | 1.07× | |
| 19 | Missouri | ~10K | 1.07× | |
| 20 | Indiana | ~20K | 1.06× | |
| 21 | North Carolina | ~30K | 1.05× | |
| 22 | South Carolina | ~10K | 1.03× | |
| 23 | Maine | ~3K | 1.02× | |
| 24 | Rhode Island | ~3K | 1.02× | |
| 25 | Texas | ~70K | 1.01× | |
| 26 | Georgia | ~20K | 1.01× | |
| 27 | Vermont | ~1K | 1.00× | |
| 28 | Illinois | ~30K | 0.99× | |
| 29 | Oregon | ~9K | 0.99× | |
| 30 | Washington | ~20K | 0.94× | |
| 31 | New York | ~40K | 0.93× | |
| 32 | Kentucky | ~9K | 0.93× | |
| 33 | Montana | ~2K | 0.93× | |
| 34 | South Dakota | ~2K | 0.92× | |
| 35 | Washington, District of Columbia | ~2K | 0.90× | |
| 36 | Alaska | ~2K | 0.90× | |
| 37 | North Dakota | ~1K | 0.90× | |
| 38 | California | ~80K | 0.87× | |
| 39 | Tennessee | ~10K | 0.87× | |
| 40 | Arizona | ~10K | 0.85× | |
| 41 | Hawaii | ~3K | 0.84× | |
| 42 | Louisiana | ~8K | 0.82× | |
| 43 | Florida | ~40K | 0.81× | |
| 44 | West Virginia | ~3K | 0.81× | |
| 45 | Arkansas | ~5K | 0.78× | |
| 46 | New Mexico | ~3K | 0.78× | |
| 47 | Oklahoma | ~7K | 0.77× | |
| 48 | Mississippi | ~5K | 0.77× | |
| 49 | Alabama | ~9K | 0.76× | |
| 50 | Nevada | ~5K | 0.70× |
The strongest cross-interests of the Electronic money audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Cryptocurrency | Technology & Electronics | 11.31× | ||
| 02 | Borussia Dortmund | Sports | 11.31× | ||
| 03 | Anjelica Huston | Movies & TV | 11.31× | ||
| 04 | Fry's Electronics | Shopping | 11.31× | ||
| 05 | EToro | Business & Career | 11.31× | ||
| 06 | Crystal Palace F.C. | Sports | 11.31× | ||
| 07 | Dakota Johnson | Movies & TV | 10.46× | ||
| 08 | Jared Leto | Movies & TV | 8.09× | ||
| 09 | Boscov's | Fashion & Accessoires | 6.76× | ||
| 10 | Newegg | Shopping | 6.12× | ||
| 11 | Coinbase | Business & Career | 5.42× | ||
| 12 | E-Trade | Business & Career | 4.64× | ||
| 13 | Affiliate marketing | Business & Career | 3.55× | ||
| 14 | Linux | Technology & Electronics | 3.29× | ||
| 15 | NASDAQ | Business & Career | 3.13× | ||
| 16 | Powerball | Games | 2.21× | ||
| 17 | Financial services | Business & Career | 2.09× | ||
| 18 | Burger King | Food & Beverages | 1.76× | ||
| 19 | Wells Fargo | Business & Career | 1.73× | ||
| 20 | FIFA World Cup | Sports | 1.61× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Risk Appetite | THRILL | 2.82× | |
| Need for Security | CONSERVATISM | 1.97× | |
| Career Orientation | POWER | 1.87× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.79× | |
| Creativity | OPEN | 0.86× | |
| Extroversion | THRILL | 0.88× |
Electronic money has an estimated audience of 800,501 people in United States, concentrated in California and Texas.
28.0% of Electronic money fans are female, 72.0% are male, with an average age of 30.3 years.
Electronic money fans show strongest brand affinity for Dakota Johnson (10.46×), Cryptocurrency (11.31×), and Jared Leto (8.09×) over the country average.
Electronic money fans in United States are most concentrated in California (reach ~80K), Texas (reach ~70K), and Florida (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Electronic money itself, the audience over-indexes on Cryptocurrency (11.31×), Jared Leto (8.09×), Coinbase (5.42×), and Borussia Dortmund (11.31×) 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 Electronic money. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.