A data profile of the people who buy, follow and care about Lost in Translation (poem) in United States — modelled from more than twelve digital signal sources. Lost in Translation (poem) has an estimated audience of 1,040,063 people in United States.
The average Lost in Translation (poem) fan in United States is 40.4 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Reddit, FedEx, McDonald's, with strongest over-indexing on Reddit (4.11× the country average).
Demographically, the Lost in Translation (poem) audience skews more male with an average age of 40.4, and over-indexes on personality traits such as Patriotism, Urban Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Lost in Translation (poem) fan in United States is more male, around 40.4 years old, with strong Patriotism tendencies and a notable affinity for Reddit.
The key figures that characterise the Lost in Translation (poem) profile in United States.
40.3% are female, 59.7% are male, average age 40.4.
| Metric | Value |
|---|---|
| Female | 40.3% |
| Male | 59.7% |
| Average age | 40.4 |
| Estimated audience size | 1,040,063 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 15% | |
| 20-29 | 21% | |
| 30-39 | 21% | |
| 40-49 | 21% | |
| 50+ | 22% |
Where the Lost in Translation (poem) audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~6K | 1.75× | |
| 02 | California | ~200K | 1.68× | |
| 03 | New York | ~90K | 1.55× | |
| 04 | Massachusetts | ~30K | 1.41× | |
| 05 | Oregon | ~20K | 1.41× | |
| 06 | Washington | ~30K | 1.37× | |
| 07 | Vermont | ~3K | 1.32× | |
| 08 | Arizona | ~30K | 1.22× | |
| 09 | Illinois | ~40K | 1.21× | |
| 10 | Hawaii | ~6K | 1.20× | |
| 11 | Connecticut | ~10K | 1.18× | |
| 12 | Rhode Island | ~4K | 1.14× | |
| 13 | Utah | ~10K | 1.12× | |
| 14 | Colorado | ~20K | 1.11× | |
| 15 | Nevada | ~10K | 1.11× | |
| 16 | New Jersey | ~30K | 1.09× | |
| 17 | Virginia | ~30K | 1.06× | |
| 18 | Alaska | ~2K | 1.06× | |
| 19 | New Hampshire | ~4K | 1.02× | |
| 20 | Texas | ~90K | 1.01× | |
| 21 | Minnesota | ~20K | 1.01× | |
| 22 | Maine | ~4K | 1.01× | |
| 23 | Pennsylvania | ~40K | 0.99× | |
| 24 | Maryland | ~20K | 0.97× | |
| 25 | Florida | ~70K | 0.96× | |
| 26 | Montana | ~3K | 0.95× | |
| 27 | New Mexico | ~5K | 0.94× | |
| 28 | Michigan | ~30K | 0.93× | |
| 29 | Idaho | ~5K | 0.92× | |
| 30 | Georgia | ~30K | 0.89× | |
| 31 | Wisconsin | ~10K | 0.89× | |
| 32 | Ohio | ~30K | 0.87× | |
| 33 | Kentucky | ~10K | 0.86× | |
| 34 | North Carolina | ~30K | 0.85× | |
| 35 | Indiana | ~20K | 0.85× | |
| 36 | Missouri | ~10K | 0.85× | |
| 37 | Kansas | ~7K | 0.85× | |
| 38 | Nebraska | ~5K | 0.85× | |
| 39 | Iowa | ~7K | 0.84× | |
| 40 | Delaware | ~3K | 0.84× | |
| 41 | Oklahoma | ~10K | 0.82× | |
| 42 | Tennessee | ~20K | 0.80× | |
| 43 | South Carolina | ~10K | 0.75× | |
| 44 | Louisiana | ~10K | 0.75× | |
| 45 | Arkansas | ~7K | 0.75× | |
| 46 | Alabama | ~10K | 0.73× | |
| 47 | South Dakota | ~2K | 0.72× | |
| 48 | North Dakota | ~2K | 0.72× | |
| 49 | West Virginia | ~4K | 0.70× | |
| 50 | Mississippi | ~6K | 0.63× |
The strongest cross-interests of the Lost in Translation (poem) audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Monsters | Movies & TV | 5.62× | ||
| 02 | Zootopia | Movies & TV | 5.62× | ||
| 03 | Rotten Tomatoes | Movies & TV | 4.86× | ||
| 04 | Internet & Social Media | 4.11× | |||
| 05 | FedEx | Business & Career | 4.01× | ||
| 06 | Subway | Food & Beverages | 3.07× | ||
| 07 | McDonald's | Food & Beverages | 2.80× | ||
| 08 | TV game shows | Movies & TV | 2.43× | ||
| 09 | Panera Bread | Food & Beverages | 2.10× | ||
| 10 | Beetlejuice | Movies & TV | 2.00× | ||
| 11 | Superman | Movies & TV | 1.97× | ||
| 12 | Panda Express | Food & Beverages | 1.96× | ||
| 13 | Trader Joe's | Shopping | 1.94× | ||
| 14 | Pizza Hut | Food & Beverages | 1.89× | ||
| 15 | Internet & Social Media | 1.88× | |||
| 16 | Podcast | Music & Radio | 1.76× | ||
| 17 | Starbucks | Food & Beverages | 1.76× | ||
| 18 | United States Postal Service | Business & Career | 1.70× | ||
| 19 | Barbecue | Food & Beverages | 1.57× | ||
| 20 | Airbnb | Travel & Leisure | 1.54× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.52× | |
| Urban Lifestyle | OPEN | 1.49× | |
| Social Media Usage | JOY | 1.48× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.84× | |
| Healthy Lifestyle | BALANCE | 0.86× | |
| Design Affinity | PREMIUM | 0.87× |
Lost in Translation (poem) has an estimated audience of 1,040,063 people in United States, concentrated in California and Texas.
40.3% of Lost in Translation (poem) fans are female, 59.7% are male, with an average age of 40.4 years.
Lost in Translation (poem) fans show strongest brand affinity for Reddit (4.11×), FedEx (4.01×), and McDonald's (2.8×) over the country average.
Lost in Translation (poem) fans in United States are most concentrated in California (reach ~200K), Texas (reach ~90K), and New York (reach ~90K). These three regions account for the largest share of the active audience.
Beyond Lost in Translation (poem) itself, the audience over-indexes on FedEx (4.01×), McDonald's (2.8×), Subway (3.07×), and Superman (1.97×) 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 Lost in Translation (poem). 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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