A data profile of the people who buy, follow and care about Internet Movie Database in United States — modelled from more than twelve digital signal sources. Internet Movie Database has an estimated audience of 15,267,033 people in United States.
The average Internet Movie Database fan in United States is 42.4 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Indeed.com, Khan Academy, Ticketmaster, with strongest over-indexing on Indeed.com (6.26× the country average).
Demographically, the Internet Movie Database audience skews more male with an average age of 42.4, and over-indexes on personality traits such as Early Adopter Mentality, 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 Internet Movie Database fan in United States is more male, around 42.4 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Indeed.com.
The key figures that characterise the Internet Movie Database profile in United States.
41.2% are female, 58.8% are male, average age 42.4.
| Metric | Value |
|---|---|
| Female | 41.2% |
| Male | 58.8% |
| Average age | 42.4 |
| Estimated audience size | 15,267,033 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 12% | |
| 20-29 | 18% | |
| 30-39 | 22% | |
| 40-49 | 23% | |
| 50+ | 26% |
of the worldwide Internet Movie Database audience comes from United States.
| Country | Share |
|---|---|
| United States | 28.4% |
| United Kingdom | 7.7% |
| China | 7.5% |
Where the Internet Movie Database audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Utah | ~200K | 1.50× | |
| 02 | Oregon | ~200K | 1.33× | |
| 03 | Idaho | ~90K | 1.30× | |
| 04 | New Hampshire | ~70K | 1.24× | |
| 05 | Washington | ~400K | 1.21× | |
| 06 | Maine | ~60K | 1.17× | |
| 07 | Missouri | ~300K | 1.15× | |
| 08 | Oklahoma | ~200K | 1.13× | |
| 09 | Ohio | ~500K | 1.12× | |
| 10 | Wisconsin | ~200K | 1.10× | |
| 11 | Kansas | ~100K | 1.10× | |
| 12 | Colorado | ~200K | 1.08× | |
| 13 | Iowa | ~100K | 1.06× | |
| 14 | Indiana | ~300K | 1.05× | |
| 15 | Kentucky | ~200K | 1.05× | |
| 16 | Pennsylvania | ~500K | 1.04× | |
| 17 | Nebraska | ~80K | 1.04× | |
| 18 | West Virginia | ~70K | 1.04× | |
| 19 | South Dakota | ~30K | 1.04× | |
| 20 | Vermont | ~30K | 1.04× | |
| 21 | Michigan | ~400K | 1.03× | |
| 22 | Minnesota | ~200K | 1.02× | |
| 23 | Montana | ~40K | 1.02× | |
| 24 | Alaska | ~30K | 1.00× | |
| 25 | Illinois | ~500K | 0.99× | |
| 26 | Arizona | ~300K | 0.98× | |
| 27 | Massachusetts | ~300K | 0.98× | |
| 28 | Connecticut | ~100K | 0.98× | |
| 29 | Virginia | ~300K | 0.97× | |
| 30 | Tennessee | ~300K | 0.97× | |
| 31 | Arkansas | ~100K | 0.97× | |
| 32 | Rhode Island | ~40K | 0.97× | |
| 33 | North Dakota | ~30K | 0.97× | |
| 34 | California | ~1.5M | 0.95× | |
| 35 | New Mexico | ~70K | 0.94× | |
| 36 | New York | ~700K | 0.91× | |
| 37 | North Carolina | ~400K | 0.89× | |
| 38 | New Jersey | ~300K | 0.89× | |
| 39 | Maryland | ~200K | 0.89× | |
| 40 | Nevada | ~100K | 0.89× | |
| 41 | Louisiana | ~200K | 0.88× | |
| 42 | Georgia | ~400K | 0.85× | |
| 43 | Alabama | ~200K | 0.85× | |
| 44 | Delaware | ~30K | 0.85× | |
| 45 | South Carolina | ~200K | 0.83× | |
| 46 | Florida | ~800K | 0.80× | |
| 47 | Texas | ~1M | 0.79× | |
| 48 | Mississippi | ~90K | 0.72× | |
| 49 | Washington, District of Columbia | ~30K | 0.70× | |
| 50 | Hawaii | ~40K | 0.65× |
The strongest cross-interests of the Internet Movie Database audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Khan Academy | Business & Career | 12.30× | ||
| 02 | Janelle Monáe | Music & Radio | 11.27× | ||
| 03 | Duolingo | Business & Career | 9.22× | ||
| 04 | Crowdsourcing | Business & Career | 9.12× | ||
| 05 | Python (programming language) | Technology & Electronics | 7.49× | ||
| 06 | Indeed.com | Business & Career | 6.26× | ||
| 07 | The Verge | Technology & Electronics | 6.18× | ||
| 08 | Ticketmaster | Travel & Leisure | 5.84× | ||
| 09 | Microblogging | Technology & Electronics | 5.59× | ||
| 10 | TechCrunch | Technology & Electronics | 5.21× | ||
| 11 | Internet & Social Media | 4.18× | |||
| 12 | Internet & Social Media | 3.97× | |||
| 13 | Tumblr | Internet & Social Media | 3.61× | ||
| 14 | O'Reilly Auto Parts | Cars & Mobility | 3.21× | ||
| 15 | AutoZone | Cars & Mobility | 2.39× | ||
| 16 | Airbnb | Travel & Leisure | 2.32× | ||
| 17 | Macy's | Shopping | 1.94× | ||
| 18 | Google Docs | Internet & Social Media | 1.94× | ||
| 19 | X | Internet & Social Media | 1.60× | ||
| 20 | Spotify | Internet & Social Media | 1.58× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 1.74× | |
| Social Media Usage | JOY | 1.72× | |
| Quality Awareness | PREMIUM | 1.42× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Mindfulness | BALANCE | 0.64× | |
| Travelling | THRILL | 0.68× | |
| Design Affinity | PREMIUM | 0.68× |
Internet Movie Database has an estimated audience of 15,267,033 people in United States, concentrated in California and Texas.
41.2% of Internet Movie Database fans are female, 58.8% are male, with an average age of 42.4 years.
Internet Movie Database fans show strongest brand affinity for Indeed.com (6.26×), Khan Academy (12.3×), and Ticketmaster (5.84×) over the country average.
Internet Movie Database fans in United States are most concentrated in California (reach ~1.5M), Texas (reach ~1M), and Florida (reach ~800K). These three regions account for the largest share of the active audience.
Beyond Internet Movie Database itself, the audience over-indexes on Khan Academy (12.3×), Ticketmaster (5.84×), Reddit (4.18×), and Duolingo (9.22×) 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 Internet Movie Database. 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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