A data profile of the people who buy, follow and care about Payoneer in United States — modelled from more than twelve digital signal sources. Payoneer has an estimated audience of 348,330 people in United States.
The average Payoneer fan in United States is 31.8 years old, more male, and lives primarily in California.
The audience is concentrated in California, Florida, New York.
Top brand affinities include Hop (film), Kirsten Dunst, Peter Thiel, with strongest over-indexing on Hop (film) (178.85× the country average).
Demographically, the Payoneer audience skews more male with an average age of 31.8, and over-indexes on personality traits such as Quality Awareness, Pet Ownership.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Payoneer fan in United States is more male, around 31.8 years old, with strong Quality Awareness tendencies and a notable affinity for Hop (film).
The key figures that characterise the Payoneer profile in United States.
33.5% are female, 66.5% are male, average age 31.8.
| Metric | Value |
|---|---|
| Female | 33.5% |
| Male | 66.5% |
| Average age | 31.8 |
| Estimated audience size | 348,330 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 41% | |
| 20-29 | 23% | |
| 30-39 | 13% | |
| 40-49 | 12% | |
| 50+ | 10% |
of the worldwide Payoneer audience comes from United States.
| Country | Share |
|---|---|
| China | 12.4% |
| Pakistan | 7.6% |
| Bangladesh | 5.3% |
Where the Payoneer audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~3K | 2.43× | |
| 02 | New York | ~40K | 2.20× | |
| 03 | California | ~70K | 1.87× | |
| 04 | Florida | ~50K | 1.87× | |
| 05 | New Jersey | ~10K | 1.66× | |
| 06 | Virginia | ~10K | 1.45× | |
| 07 | Washington | ~10K | 1.45× | |
| 08 | Oregon | ~6K | 1.44× | |
| 09 | Nevada | ~5K | 1.44× | |
| 10 | Kansas | ~4K | 1.39× | |
| 11 | Texas | ~40K | 1.25× | |
| 12 | Georgia | ~10K | 1.25× | |
| 13 | Utah | ~4K | 1.16× | |
| 14 | Illinois | ~10K | 1.06× | |
| 15 | Colorado | ~6K | 1.05× | |
| 16 | Arizona | ~8K | 1.04× | |
| 17 | Massachusetts | ~7K | 1.03× | |
| 18 | Connecticut | ~4K | 1.00× | |
| 19 | Hawaii | ~1K | 0.98× | |
| 20 | Maryland | ~6K | 0.97× | |
| 21 | Delaware | <1K | 0.96× | |
| 22 | Tennessee | ~7K | 0.93× | |
| 23 | Missouri | ~5K | 0.93× | |
| 24 | North Carolina | ~9K | 0.87× | |
| 25 | South Carolina | ~5K | 0.85× | |
| 26 | Idaho | ~2K | 0.85× | |
| 27 | Oklahoma | ~3K | 0.84× | |
| 28 | Rhode Island | <1K | 0.84× | |
| 29 | Alabama | ~4K | 0.82× | |
| 30 | Alaska | <1K | 0.81× | |
| 31 | Vermont | <1K | 0.81× | |
| 32 | Pennsylvania | ~10K | 0.80× | |
| 33 | Louisiana | ~4K | 0.80× | |
| 34 | Arkansas | ~2K | 0.80× | |
| 35 | Montana | <1K | 0.80× | |
| 36 | Mississippi | ~2K | 0.79× | |
| 37 | Ohio | ~9K | 0.78× | |
| 38 | New Hampshire | ~1K | 0.78× | |
| 39 | North Dakota | <1K | 0.77× | |
| 40 | Indiana | ~5K | 0.76× | |
| 41 | West Virginia | ~1K | 0.76× | |
| 42 | Maine | <1K | 0.76× | |
| 43 | Michigan | ~7K | 0.75× | |
| 44 | South Dakota | <1K | 0.75× | |
| 45 | Minnesota | ~4K | 0.73× | |
| 46 | Kentucky | ~3K | 0.73× | |
| 47 | New Mexico | ~1K | 0.73× | |
| 48 | Iowa | ~2K | 0.69× | |
| 49 | Nebraska | ~1K | 0.68× | |
| 50 | Wisconsin | ~3K | 0.63× |
The strongest cross-interests of the Payoneer audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Hop (film) | Movies & TV | 178.85× | ||
| 02 | Sunspel | Fashion & Accessoires | 120.45× | ||
| 03 | World Chess Championship | Sports | 104.87× | ||
| 04 | Chess with Friends | Games | 97.45× | ||
| 05 | Offspring (TV series) | Movies & TV | 86.79× | ||
| 06 | Magnus Carlsen | Sports | 76.19× | ||
| 07 | Kirsten Dunst | Movies & TV | 72.57× | ||
| 08 | Wild Wing Cafe | Food & Beverages | 71.23× | ||
| 09 | Kenneth Branagh | Movies & TV | 66.90× | ||
| 10 | Maersk | Business & Career | 62.09× | ||
| 11 | Peter Thiel | Business & Career | 61.25× | ||
| 12 | Cafe Rio | Food & Beverages | 53.06× | ||
| 13 | Swans (band) | Music & Radio | 47.38× | ||
| 14 | Chess.com | Sports | 43.94× | ||
| 15 | Javier Bardem | Movies & TV | 37.64× | ||
| 16 | Marlon Brando | Movies & TV | 33.38× | ||
| 17 | Chess (musical) | Music & Radio | 30.00× | ||
| 18 | Jessie Buckley | Movies & TV | 19.03× | ||
| 19 | Mark Wahlberg | Movies & TV | 14.69× | ||
| 20 | Cash App | Business & Career | 12.37× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 1.63× | |
| Pet Ownership | JOY | 1.56× | |
| Sustainability | BALANCE | 1.55× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Convenience Orientation | PREMIUM | 0.58× | |
| Community Orientation | OPEN | 0.66× | |
| Family Orientation | CONSERVATISM | 0.78× |
Payoneer's target market in United States covers an estimated 348,330 people, concentrated in California and Florida.
33.5% of the Payoneer audience are female, 66.5% are male, with an average age of 31.8 years.
Payoneer fans show strongest brand affinity for Hop (film) (178.85×), Kirsten Dunst (72.57×), and Peter Thiel (61.25×) over the country average.
Payoneer fans in United States are most concentrated in California (reach ~70K), Florida (reach ~50K), and New York (reach ~40K). These three regions account for the largest share of the active audience.
Beyond Payoneer itself, the audience over-indexes on Kirsten Dunst (72.57×), Peter Thiel (61.25×), World Chess Championship (104.87×), and Javier Bardem (37.64×) 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 Payoneer. 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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