Payoneer Audience in United States

Payoneer has an estimated audience of 355,659 people in United States. 33.5% are female, 66.5% are male, average age 31.8. Top regions: California, Florida, New York. Top brand affinities: Hop (film), Kirsten Dunst, Peter Thiel, World Chess Championship, Magnus Carlsen.
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 Travelling, Need for Security. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Business & Career · Type: Brand · Subtype: Payment
Demographics of Payoneer fans
| Metric | Value |
|---|---|
| Female | 33.5% |
| Male | 66.5% |
| Average age | 31.8 |
| Estimated audience size | 355,659 |
Audience persona
The typical Payoneer fan in United States is more male, around 31.8 years old, with strong Travelling tendencies and a notable affinity for Hop (film).
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 74,304 | 1.9× |
| Florida | 47,072 | 1.95× |
| New York | 45,685 | 2.3× |
| Texas | 41,602 | 1.36× |
| New Jersey | 15,908 | 1.76× |
| Georgia | 14,521 | 1.33× |
| Virginia | 13,401 | 1.55× |
| Illinois | 12,716 | 1.07× |
| Washington | 10,462 | 1.47× |
| Pennsylvania | 9,741 | 0.81× |
| North Carolina | 9,579 | 0.9× |
| Ohio | 8,820 | 0.81× |
| Arizona | 7,552 | 1.04× |
| Massachusetts | 7,408 | 1.06× |
| Michigan | 6,988 | 0.75× |
| Tennessee | 6,644 | 0.93× |
| Maryland | 6,009 | 0.98× |
| Oregon | 5,871 | 1.44× |
| Colorado | 5,769 | 1.03× |
| Missouri | 5,522 | 0.96× |
| Nevada | 4,937 | 1.44× |
| Indiana | 4,840 | 0.74× |
| South Carolina | 4,735 | 0.88× |
| Alabama | 4,155 | 0.84× |
| Utah | 3,716 | 1.17× |
| Minnesota | 3,641 | 0.71× |
| Louisiana | 3,618 | 0.79× |
| Connecticut | 3,514 | 0.99× |
| Kansas | 3,394 | 1.21× |
| Wisconsin | 3,262 | 0.61× |
| Kentucky | 3,210 | 0.72× |
| Oklahoma | 3,100 | 0.78× |
| Washington, District of Columbia | 2,929 | 2.74× |
| Arkansas | 2,173 | 0.74× |
| Mississippi | 2,158 | 0.74× |
| Iowa | 1,808 | 0.62× |
| Hawaii | 1,386 | 0.91× |
| Idaho | 1,328 | 0.74× |
| New Mexico | 1,098 | 0.62× |
| West Virginia | 982 | 0.59× |
| Rhode Island | 904 | 0.8× |
| New Hampshire | 890 | 0.63× |
| Delaware | 889 | 0.91× |
| Nebraska | 849 | 0.48× |
| Maine | 820 | 0.64× |
| Montana | 647 | 0.66× |
| North Dakota | 434 | 0.59× |
| South Dakota | 428 | 0.52× |
| Alaska | 420 | 0.55× |
| Wyoming | 363 | 0.69× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| Hop (film) | 178.85× | Movies & TV |
| Kirsten Dunst | 72.57× | Movies & TV |
| Peter Thiel | 61.25× | Business & Career |
| World Chess Championship | 104.87× | Sports |
| Magnus Carlsen | 76.19× | Sports |
| Javier Bardem | 37.64× | Movies & TV |
| Kenneth Branagh | 66.9× | Movies & TV |
| Marlon Brando | 33.38× | Movies & TV |
| Cafe Rio | 53.06× | Food & Beverages |
| Chess.com | 43.94× | Sports |
| Swans (band) | 47.38× | Music & Radio |
| Offspring (TV series) | 86.79× | Movies & TV |
| Cash App | 12.37× | Business & Career |
| Sunspel | 120.45× | Fashion & Accessoires |
| Wild Wing Cafe | 71.23× | Food & Beverages |
| Chess with Friends | 97.45× | Games |
| Mark Wahlberg | 14.69× | Movies & TV |
| Jessie Buckley | 19.03× | Movies & TV |
| Chess (musical) | 30× | Music & Radio |
| Maersk | 62.09× | Business & Career |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| Travelling | THRILL | 1.37 |
| Need for Security | CONSERVATISM | 1.36 |
| Patriotism | CONSERVATISM | 1.35 |
| LGBTQ+ Identity | OPEN | 1.34 |
| Indulgence | JOY | 1.27 |
| Quality Awareness | PREMIUM | 1.23 |
Worldwide distribution
| Country | Share |
|---|---|
| China | 12.8% |
| Pakistan | 7.9% |
| Bangladesh | 5.4% |
See Payoneer audiences in other countries
More Payment audiences in United States
- Western Union (13,943,157)
- Google Pay (4,299,874)
- Stripe (company) (1,008,727)
- WorldRemit (323,983)
- TransferWise (293,265)
Frequently asked questions
How many fans does Payoneer have in United States?
Payoneer has an estimated audience of 355,659 people in United States, concentrated in California and Florida.
What is the gender split and age of Payoneer fans?
33.5% of Payoneer fans are female, 66.5% are male, with an average age of 31.8 years.
Which brands do Payoneer fans like most?
Payoneer fans show strongest brand affinity for Hop (film) (178.85×), Kirsten Dunst (72.57×), and Peter Thiel (61.25×) over the country average.
Where do Payoneer fans live in United States?
Payoneer fans in United States are most concentrated in California (reach 74,304), Florida (reach 47,072), and New York (reach 45,685). These three regions account for the largest share of the active audience.
What other brands do Payoneer fans also like?
Beyond Payoneer itself, the audience over-indexes on Kirsten Dunst (72.57×), Peter Thiel (61.25×), World Chess Championship (104.87×), and Magnus Carlsen (76.19×) compared to the United States average.
How to read this data
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.
About this audience profile
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.