A data profile of the people who buy, follow and care about Film editing in United States — modelled from more than twelve digital signal sources. Film editing has an estimated audience of 3,890,285 people in United States.
The average Film editing fan in United States is 36.5 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Indeed.com, Superman, Canon, with strongest over-indexing on Indeed.com (3.08× the country average).
Demographically, the Film editing audience skews more male with an average age of 36.5, and over-indexes on personality traits such as Patriotism, Risk Appetite.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Film editing fan in United States is more male, around 36.5 years old, with strong Patriotism tendencies and a notable affinity for Indeed.com.
The key figures that characterise the Film editing profile in United States.
41.3% are female, 58.7% are male, average age 36.5.
| Metric | Value |
|---|---|
| Female | 41.3% |
| Male | 58.7% |
| Average age | 36.5 |
| Estimated audience size | 3,890,285 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 27% | |
| 20-29 | 21% | |
| 30-39 | 18% | |
| 40-49 | 18% | |
| 50+ | 16% |
of the worldwide Film editing audience comes from United States.
| Country | Share |
|---|---|
| China | 15.5% |
| United States | 11.9% |
| Japan | 11.5% |
Where the Film editing audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~600K | 1.48× | |
| 02 | Georgia | ~200K | 1.33× | |
| 03 | New York | ~300K | 1.20× | |
| 04 | Alaska | ~10K | 1.18× | |
| 05 | Vermont | ~8K | 1.16× | |
| 06 | South Dakota | ~10K | 1.11× | |
| 07 | North Dakota | ~9K | 1.11× | |
| 08 | Texas | ~400K | 1.08× | |
| 09 | Rhode Island | ~10K | 1.07× | |
| 10 | Arizona | ~80K | 1.06× | |
| 11 | Montana | ~10K | 1.05× | |
| 12 | Utah | ~40K | 1.04× | |
| 13 | Hawaii | ~20K | 1.03× | |
| 14 | Delaware | ~10K | 1.03× | |
| 15 | Nevada | ~40K | 1.02× | |
| 16 | Connecticut | ~40K | 1.01× | |
| 17 | Washington, District of Columbia | ~10K | 1.01× | |
| 18 | New Mexico | ~20K | 0.99× | |
| 19 | West Virginia | ~20K | 0.99× | |
| 20 | Washington | ~80K | 0.98× | |
| 21 | Kansas | ~30K | 0.98× | |
| 22 | Idaho | ~20K | 0.98× | |
| 23 | New Hampshire | ~20K | 0.98× | |
| 24 | Maine | ~10K | 0.98× | |
| 25 | Oregon | ~40K | 0.96× | |
| 26 | Illinois | ~100K | 0.95× | |
| 27 | Michigan | ~100K | 0.95× | |
| 28 | New Jersey | ~90K | 0.95× | |
| 29 | Nebraska | ~20K | 0.95× | |
| 30 | Florida | ~200K | 0.94× | |
| 31 | Mississippi | ~30K | 0.94× | |
| 32 | Arkansas | ~30K | 0.94× | |
| 33 | Pennsylvania | ~100K | 0.92× | |
| 34 | Virginia | ~90K | 0.92× | |
| 35 | Kentucky | ~50K | 0.92× | |
| 36 | Massachusetts | ~70K | 0.91× | |
| 37 | Maryland | ~60K | 0.91× | |
| 38 | Louisiana | ~50K | 0.91× | |
| 39 | Oklahoma | ~40K | 0.90× | |
| 40 | Iowa | ~30K | 0.90× | |
| 41 | Missouri | ~60K | 0.89× | |
| 42 | Minnesota | ~50K | 0.89× | |
| 43 | Tennessee | ~70K | 0.88× | |
| 44 | Indiana | ~60K | 0.88× | |
| 45 | South Carolina | ~50K | 0.88× | |
| 46 | Colorado | ~50K | 0.87× | |
| 47 | Wisconsin | ~50K | 0.87× | |
| 48 | Alabama | ~50K | 0.87× | |
| 49 | North Carolina | ~100K | 0.86× | |
| 50 | Ohio | ~100K | 0.82× |
The strongest cross-interests of the Film editing audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Bodrum | Travel & Leisure | 10.78× | ||
| 02 | Nikon | Technology & Electronics | 9.75× | ||
| 03 | Canon | Technology & Electronics | 9.11× | ||
| 04 | Single-lens reflex camera | Technology & Electronics | 8.60× | ||
| 05 | Berlin Wall | Travel & Leisure | 7.33× | ||
| 06 | Disneyland Paris | Travel & Leisure | 6.42× | ||
| 07 | Video editing | Technology & Electronics | 6.26× | ||
| 08 | Ariana Grande | Music & Radio | 4.11× | ||
| 09 | Sports betting | Games | 4.02× | ||
| 10 | Broadway theatre | Travel & Leisure | 3.80× | ||
| 11 | Robert Redford | Movies & TV | 3.30× | ||
| 12 | Videography | Internet & Social Media | 3.30× | ||
| 13 | Watercolor painting | Arts & Culture | 3.26× | ||
| 14 | Indeed.com | Business & Career | 3.08× | ||
| 15 | Digital photography | Business & Career | 3.03× | ||
| 16 | Millie Bobby Brown | Movies & TV | 2.78× | ||
| 17 | Innovation | Business & Career | 2.52× | ||
| 18 | Do it yourself (DIY) | Home & Garden | 2.10× | ||
| 19 | Superman | Movies & TV | 1.93× | ||
| 20 | Harry Potter | Movies & TV | 1.56× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.92× | |
| Risk Appetite | THRILL | 1.71× | |
| Design Affinity | PREMIUM | 1.66× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.88× | |
| Convenience Orientation | PREMIUM | 0.90× | |
| Price Sensitivity | PREMIUM | 0.92× |
Film editing has an estimated audience of 3,890,285 people in United States, concentrated in California and Texas.
41.3% of Film editing fans are female, 58.7% are male, with an average age of 36.5 years.
Film editing fans show strongest brand affinity for Indeed.com (3.08×), Superman (1.93×), and Canon (9.11×) over the country average.
Film editing fans in United States are most concentrated in California (reach ~600K), Texas (reach ~400K), and New York (reach ~300K). These three regions account for the largest share of the active audience.
Beyond Film editing itself, the audience over-indexes on Superman (1.93×), Canon (9.11×), Do it yourself (DIY) (2.1×), and Ariana Grande (4.11×) 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 Film editing. 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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