A data profile of the people who buy, follow and care about Editing in United States — modelled from more than twelve digital signal sources. Editing has an estimated audience of 5,764,165 people in United States.
The average Editing fan in United States is 41.1 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Superman, Diane Keaton, Reddit, with strongest over-indexing on Superman (2.33× the country average).
Demographically, the Editing audience skews balanced with an average age of 41.1, and over-indexes on personality traits such as Patriotism, Early Adopter Mentality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Editing fan in United States is balanced, around 41.1 years old, with strong Patriotism tendencies and a notable affinity for Superman.
The key figures that characterise the Editing profile in United States.
54.3% are female, 45.7% are male, average age 41.1.
| Metric | Value |
|---|---|
| Female | 54.3% |
| Male | 45.7% |
| Average age | 41.1 |
| Estimated audience size | 5,764,165 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 17% | |
| 20-29 | 17% | |
| 30-39 | 19% | |
| 40-49 | 22% | |
| 50+ | 25% |
of the worldwide Editing audience comes from United States.
| Country | Share |
|---|---|
| United States | 23.2% |
| India | 6.6% |
| China | 4.4% |
Where the Editing audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Tennessee | ~100K | 1.27× | |
| 02 | Louisiana | ~90K | 1.19× | |
| 03 | Mississippi | ~60K | 1.18× | |
| 04 | Texas | ~600K | 1.16× | |
| 05 | California | ~700K | 1.14× | |
| 06 | Georgia | ~200K | 1.14× | |
| 07 | Arkansas | ~50K | 1.13× | |
| 08 | Hawaii | ~30K | 1.12× | |
| 09 | Oklahoma | ~70K | 1.11× | |
| 10 | North Carolina | ~200K | 1.10× | |
| 11 | Alabama | ~90K | 1.10× | |
| 12 | New York | ~300K | 1.08× | |
| 13 | New Jersey | ~200K | 1.08× | |
| 14 | Washington | ~100K | 1.08× | |
| 15 | South Carolina | ~90K | 1.08× | |
| 16 | Virginia | ~100K | 1.06× | |
| 17 | Idaho | ~30K | 1.05× | |
| 18 | Florida | ~400K | 1.04× | |
| 19 | Kentucky | ~80K | 1.04× | |
| 20 | Kansas | ~50K | 1.04× | |
| 21 | Maryland | ~100K | 1.03× | |
| 22 | Indiana | ~100K | 1.01× | |
| 23 | Missouri | ~90K | 1.01× | |
| 24 | Oregon | ~70K | 1.01× | |
| 25 | New Mexico | ~30K | 1.00× | |
| 26 | Pennsylvania | ~200K | 0.99× | |
| 27 | West Virginia | ~30K | 0.99× | |
| 28 | Delaware | ~20K | 0.99× | |
| 29 | Arizona | ~100K | 0.96× | |
| 30 | Connecticut | ~60K | 0.96× | |
| 31 | Washington, District of Columbia | ~20K | 0.96× | |
| 32 | Illinois | ~200K | 0.95× | |
| 33 | Ohio | ~200K | 0.95× | |
| 34 | Michigan | ~100K | 0.95× | |
| 35 | Nevada | ~50K | 0.95× | |
| 36 | Utah | ~50K | 0.95× | |
| 37 | South Dakota | ~10K | 0.95× | |
| 38 | Massachusetts | ~100K | 0.94× | |
| 39 | Nebraska | ~30K | 0.94× | |
| 40 | Minnesota | ~80K | 0.93× | |
| 41 | Iowa | ~40K | 0.93× | |
| 42 | Rhode Island | ~20K | 0.92× | |
| 43 | Wisconsin | ~80K | 0.90× | |
| 44 | Alaska | ~10K | 0.90× | |
| 45 | North Dakota | ~10K | 0.90× | |
| 46 | Maine | ~20K | 0.89× | |
| 47 | Montana | ~10K | 0.88× | |
| 48 | Colorado | ~80K | 0.87× | |
| 49 | New Hampshire | ~20K | 0.85× | |
| 50 | Vermont | ~8K | 0.81× |
The strongest cross-interests of the Editing audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Diane Keaton | Movies & TV | 4.95× | ||
| 02 | Al Pacino | Movies & TV | 4.95× | ||
| 03 | Kate Beckinsale | Movies & TV | 4.95× | ||
| 04 | Goodfellas | Movies & TV | 4.95× | ||
| 05 | Marlon Brando | Movies & TV | 4.95× | ||
| 06 | Michelle Rodriguez | Movies & TV | 4.95× | ||
| 07 | The Departed | Movies & TV | 4.95× | ||
| 08 | Javier Bardem | Movies & TV | 4.70× | ||
| 09 | Scarface (1983 film) | Movies & TV | 4.30× | ||
| 10 | Robert De Niro | Movies & TV | 3.61× | ||
| 11 | Twin Peaks | Movies & TV | 3.52× | ||
| 12 | Rotten Tomatoes | Movies & TV | 3.37× | ||
| 13 | Demi Moore | Movies & TV | 3.19× | ||
| 14 | Robert Redford | Movies & TV | 2.78× | ||
| 15 | Superman | Movies & TV | 2.33× | ||
| 16 | New York Post | News | 2.32× | ||
| 17 | Board games | Games | 1.99× | ||
| 18 | Batman | Movies & TV | 1.85× | ||
| 19 | Internet & Social Media | 1.75× | |||
| 20 | Genetics | Kids & Family | 1.59× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.33× | |
| Early Adopter Mentality | POWER | 1.30× | |
| Community Orientation | OPEN | 1.28× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Family Orientation | CONSERVATISM | 0.78× | |
| DIY Mentality | THRILL | 0.83× | |
| Luxury Orientation | PREMIUM | 0.83× |
Editing has an estimated audience of 5,764,165 people in United States, concentrated in California and Texas.
54.3% of Editing fans are female, 45.7% are male, with an average age of 41.1 years.
Editing fans show strongest brand affinity for Superman (2.33×), Diane Keaton (4.95×), and Reddit (1.75×) over the country average.
Editing fans in United States are most concentrated in California (reach ~700K), Texas (reach ~600K), and Florida (reach ~400K). These three regions account for the largest share of the active audience.
Beyond Editing itself, the audience over-indexes on Diane Keaton (4.95×), Reddit (1.75×), Twin Peaks (3.52×), and Al Pacino (4.95×) 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 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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