A data profile of the people who buy, follow and care about Translation in United States — modelled from more than twelve digital signal sources. Translation has an estimated audience of 4,308,210 people in United States.
The average Translation fan in United States is 41.9 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Xabi Alonso, Logistics (musician), Language interpretation, with strongest over-indexing on Xabi Alonso (66.27× the country average).
Demographically, the Translation audience skews more male with an average age of 41.9, and over-indexes on personality traits such as Pet Ownership, Tradition.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Translation fan in United States is more male, around 41.9 years old, with strong Pet Ownership tendencies and a notable affinity for Xabi Alonso.
The key figures that characterise the Translation profile in United States.
44.1% are female, 55.9% are male, average age 41.9.
| Metric | Value |
|---|---|
| Female | 44.1% |
| Male | 55.9% |
| Average age | 41.9 |
| Estimated audience size | 4,308,210 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 17% | |
| 20-29 | 16% | |
| 30-39 | 17% | |
| 40-49 | 21% | |
| 50+ | 29% |
of the worldwide Translation audience comes from United States.
| Country | Share |
|---|---|
| Lebanon | 4.3% |
| Côte d'Ivoire | 2.9% |
| Montenegro | 1.5% |
Where the Translation audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Florida | ~500K | 1.66× | |
| 02 | New Jersey | ~200K | 1.51× | |
| 03 | Texas | ~500K | 1.46× | |
| 04 | California | ~700K | 1.39× | |
| 05 | New York | ~300K | 1.39× | |
| 06 | Virginia | ~100K | 1.39× | |
| 07 | Massachusetts | ~100K | 1.38× | |
| 08 | Connecticut | ~50K | 1.27× | |
| 09 | Washington, District of Columbia | ~20K | 1.22× | |
| 10 | Georgia | ~200K | 1.21× | |
| 11 | Arizona | ~100K | 1.18× | |
| 12 | Nevada | ~50K | 1.18× | |
| 13 | Illinois | ~200K | 1.17× | |
| 14 | Maryland | ~90K | 1.17× | |
| 15 | Utah | ~50K | 1.17× | |
| 16 | Rhode Island | ~20K | 1.17× | |
| 17 | Washington | ~100K | 1.13× | |
| 18 | North Carolina | ~100K | 1.08× | |
| 19 | New Mexico | ~20K | 1.06× | |
| 20 | Indiana | ~80K | 1.05× | |
| 21 | Colorado | ~70K | 1.04× | |
| 22 | Oklahoma | ~50K | 1.03× | |
| 23 | Nebraska | ~20K | 1.03× | |
| 24 | Kentucky | ~50K | 1.00× | |
| 25 | Oregon | ~50K | 0.99× | |
| 26 | Kansas | ~30K | 0.99× | |
| 27 | Pennsylvania | ~100K | 0.98× | |
| 28 | Arkansas | ~30K | 0.97× | |
| 29 | Iowa | ~30K | 0.96× | |
| 30 | Delaware | ~10K | 0.95× | |
| 31 | Tennessee | ~80K | 0.93× | |
| 32 | Louisiana | ~50K | 0.92× | |
| 33 | South Carolina | ~60K | 0.91× | |
| 34 | Minnesota | ~50K | 0.85× | |
| 35 | Wisconsin | ~50K | 0.84× | |
| 36 | Alabama | ~50K | 0.84× | |
| 37 | Michigan | ~90K | 0.83× | |
| 38 | Ohio | ~100K | 0.82× | |
| 39 | Missouri | ~60K | 0.82× | |
| 40 | Hawaii | ~20K | 0.82× | |
| 41 | Idaho | ~20K | 0.81× | |
| 42 | Alaska | ~7K | 0.80× | |
| 43 | South Dakota | ~8K | 0.77× | |
| 44 | New Hampshire | ~10K | 0.72× | |
| 45 | Maine | ~10K | 0.72× | |
| 46 | North Dakota | ~6K | 0.66× | |
| 47 | Mississippi | ~20K | 0.64× | |
| 48 | Vermont | ~4K | 0.58× | |
| 49 | West Virginia | ~10K | 0.56× | |
| 50 | Montana | ~6K | 0.48× |
The strongest cross-interests of the Translation audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Xabi Alonso | Sports | 66.27× | ||
| 02 | Machine translation | Topic | 58.25× | ||
| 03 | The Heirs | Movies & TV | 52.40× | ||
| 04 | MicroStrategy | Business & Career | 52.19× | ||
| 05 | Operatic pop | Music & Radio | 50.60× | ||
| 06 | Legal translation | Business & Career | 48.65× | ||
| 07 | Logistics (musician) | Music & Radio | 47.03× | ||
| 08 | Translation studies | Business & Career | 42.92× | ||
| 09 | Language interpretation | Business & Career | 41.75× | ||
| 10 | Civil law (legal system) | Business & Career | 15.14× | ||
| 11 | S.H.E | Music & Radio | 14.13× | ||
| 12 | Checkers | Food & Beverages | 8.40× | ||
| 13 | Bad Bunny | Music & Radio | 7.70× | ||
| 14 | Duolingo | Business & Career | 5.37× | ||
| 15 | Spanish language | Politics & Society | 3.25× | ||
| 16 | Twitch | Games | 3.10× | ||
| 17 | Instant messaging | Internet & Social Media | 2.74× | ||
| 18 | Audience | Business & Career | 2.44× | ||
| 19 | FIFA World Cup | Sports | 2.03× | ||
| 20 | FIFA World Cup 2026 | Sports | 1.74× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 1.81× | |
| Tradition | CONSERVATISM | 1.60× | |
| Mindfulness | BALANCE | 1.44× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.95× | |
| Sports Activity | POWER | 0.99× | |
| Creativity | OPEN | 1.00× |
Translation has an estimated audience of 4,308,210 people in United States, concentrated in California and Texas.
44.1% of Translation fans are female, 55.9% are male, with an average age of 41.9 years.
Translation fans show strongest brand affinity for Xabi Alonso (66.27×), Logistics (musician) (47.03×), and Language interpretation (41.75×) over the country average.
Translation fans in United States are most concentrated in California (reach ~700K), Texas (reach ~500K), and Florida (reach ~500K). These three regions account for the largest share of the active audience.
Beyond Translation itself, the audience over-indexes on Logistics (musician) (47.03×), Language interpretation (41.75×), Bad Bunny (7.7×), and Machine translation (58.25×) 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 Translation. 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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