A data profile of the people who buy, follow and care about Web fiction in United States — modelled from more than twelve digital signal sources. Web fiction has an estimated audience of 9,673,110 people in United States.
The average Web fiction fan in United States is 46.5 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include McDonald's, Subway, Reddit, with strongest over-indexing on McDonald's (3.27× the country average).
Demographically, the Web fiction audience skews more female with an average age of 46.5, and over-indexes on personality traits such as Patriotism, Social Media Usage.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Web fiction fan in United States is more female, around 46.5 years old, with strong Patriotism tendencies and a notable affinity for McDonald's.
The key figures that characterise the Web fiction profile in United States.
74.5% are female, 25.5% are male, average age 46.5.
| Metric | Value |
|---|---|
| Female | 74.5% |
| Male | 25.5% |
| Average age | 46.5 |
| Estimated audience size | 9,673,110 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 9% | |
| 20-29 | 11% | |
| 30-39 | 15% | |
| 40-49 | 23% | |
| 50+ | 41% |
of the worldwide Web fiction audience comes from United States.
| Country | Share |
|---|---|
| United States | 24.0% |
| Japan | 12.3% |
| Indonesia | 6.5% |
Where the Web fiction audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Vermont | ~20K | 1.46× | |
| 02 | Idaho | ~60K | 1.24× | |
| 03 | Hawaii | ~50K | 1.23× | |
| 04 | Rhode Island | ~40K | 1.21× | |
| 05 | Oklahoma | ~100K | 1.19× | |
| 06 | New Hampshire | ~40K | 1.15× | |
| 07 | Washington, District of Columbia | ~30K | 1.14× | |
| 08 | Nebraska | ~50K | 1.12× | |
| 09 | New Mexico | ~50K | 1.09× | |
| 10 | Arkansas | ~80K | 1.07× | |
| 11 | Iowa | ~80K | 1.05× | |
| 12 | West Virginia | ~50K | 1.05× | |
| 13 | Mississippi | ~80K | 1.03× | |
| 14 | Kansas | ~80K | 1.03× | |
| 15 | Utah | ~90K | 1.02× | |
| 16 | South Dakota | ~20K | 1.02× | |
| 17 | Louisiana | ~100K | 1.01× | |
| 18 | Maine | ~40K | 1.01× | |
| 19 | Montana | ~30K | 1.01× | |
| 20 | Alaska | ~20K | 1.01× | |
| 21 | Kentucky | ~100K | 1.00× | |
| 22 | Nevada | ~90K | 1.00× | |
| 23 | Delaware | ~30K | 1.00× | |
| 24 | North Dakota | ~20K | 1.00× | |
| 25 | Oregon | ~100K | 0.98× | |
| 26 | Connecticut | ~90K | 0.98× | |
| 27 | Alabama | ~100K | 0.96× | |
| 28 | Missouri | ~100K | 0.95× | |
| 29 | South Carolina | ~100K | 0.95× | |
| 30 | Minnesota | ~100K | 0.95× | |
| 31 | Indiana | ~200K | 0.94× | |
| 32 | Wisconsin | ~100K | 0.94× | |
| 33 | Tennessee | ~200K | 0.93× | |
| 34 | Maryland | ~200K | 0.92× | |
| 35 | Colorado | ~100K | 0.92× | |
| 36 | Arizona | ~200K | 0.91× | |
| 37 | Massachusetts | ~200K | 0.91× | |
| 38 | Washington | ~200K | 0.90× | |
| 39 | Michigan | ~200K | 0.89× | |
| 40 | New Jersey | ~200K | 0.89× | |
| 41 | Virginia | ~200K | 0.89× | |
| 42 | Georgia | ~300K | 0.88× | |
| 43 | Ohio | ~300K | 0.88× | |
| 44 | North Carolina | ~300K | 0.88× | |
| 45 | Pennsylvania | ~300K | 0.87× | |
| 46 | Illinois | ~300K | 0.86× | |
| 47 | Florida | ~500K | 0.82× | |
| 48 | New York | ~400K | 0.81× | |
| 49 | Texas | ~600K | 0.76× | |
| 50 | California | ~700K | 0.70× |
The strongest cross-interests of the Web fiction audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Young-adult fiction | Literature | 6.44× | ||
| 02 | Magic: The Gathering | Games | 6.04× | ||
| 03 | Simulation games | Games | 5.41× | ||
| 04 | Puzzle video games | Games | 4.44× | ||
| 05 | Strategy games | Games | 4.33× | ||
| 06 | Virtual reality | Technology & Electronics | 3.63× | ||
| 07 | Subway | Food & Beverages | 3.58× | ||
| 08 | Romance novels | Literature | 3.28× | ||
| 09 | GameStop | Games | 3.28× | ||
| 10 | McDonald's | Food & Beverages | 3.27× | ||
| 11 | Tablet computers | Technology & Electronics | 3.22× | ||
| 12 | Internet & Social Media | 3.15× | |||
| 13 | Pizza Hut | Food & Beverages | 2.90× | ||
| 14 | Anime movies | Movies & TV | 2.44× | ||
| 15 | Starbucks | Food & Beverages | 2.36× | ||
| 16 | Internet & Social Media | 2.34× | |||
| 17 | Fiction books | Literature | 2.32× | ||
| 18 | Shopping malls | Shopping | 2.26× | ||
| 19 | Happiness | Health | 1.65× | ||
| 20 | Nature | Home & Garden | 1.60× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.55× | |
| Social Media Usage | JOY | 1.49× | |
| Extroversion | THRILL | 1.47× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.66× | |
| Luxury Orientation | PREMIUM | 0.68× | |
| DIY Mentality | THRILL | 0.71× |
Web fiction has an estimated audience of 9,673,110 people in United States, concentrated in California and Texas.
74.5% of Web fiction fans are female, 25.5% are male, with an average age of 46.5 years.
Web fiction fans show strongest brand affinity for McDonald's (3.27×), Subway (3.58×), and Reddit (3.15×) over the country average.
Web fiction fans in United States are most concentrated in California (reach ~700K), Texas (reach ~600K), and Florida (reach ~500K). These three regions account for the largest share of the active audience.
Beyond Web fiction itself, the audience over-indexes on Subway (3.58×), Reddit (3.15×), Puzzle video games (4.44×), and Pizza Hut (2.9×) 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 Web fiction. 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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