A data profile of the people who buy, follow and care about Internet slang in United States — modelled from more than twelve digital signal sources. Internet slang has an estimated audience of 8,589,833 people in United States.
The average Internet slang fan in United States is 32.9 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Urban Dictionary, James Franco, Cougar, with strongest over-indexing on Urban Dictionary (10.97× the country average).
Demographically, the Internet slang audience skews balanced with an average age of 32.9, and over-indexes on personality traits such as Patriotism, Spirituality.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Internet slang fan in United States is balanced, around 32.9 years old, with strong Patriotism tendencies and a notable affinity for Urban Dictionary.
The key figures that characterise the Internet slang profile in United States.
54.0% are female, 46.0% are male, average age 32.9.
| Metric | Value |
|---|---|
| Female | 54.0% |
| Male | 46.0% |
| Average age | 32.9 |
| Estimated audience size | 8,589,833 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 36% | |
| 20-29 | 23% | |
| 30-39 | 16% | |
| 40-49 | 14% | |
| 50+ | 11% |
of the worldwide Internet slang audience comes from United States.
| Country | Share |
|---|---|
| United States | 39.9% |
| India | 6.2% |
| United Kingdom | 5.0% |
Where the Internet slang audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Vermont | ~20K | 1.24× | |
| 02 | Alaska | ~20K | 1.19× | |
| 03 | North Dakota | ~20K | 1.14× | |
| 04 | South Dakota | ~20K | 1.13× | |
| 05 | Washington | ~200K | 1.09× | |
| 06 | California | ~1M | 1.07× | |
| 07 | Montana | ~30K | 1.06× | |
| 08 | Hawaii | ~40K | 1.04× | |
| 09 | Oregon | ~100K | 1.03× | |
| 10 | Rhode Island | ~30K | 1.03× | |
| 11 | New York | ~500K | 1.02× | |
| 12 | Maine | ~30K | 1.02× | |
| 13 | Delaware | ~20K | 1.02× | |
| 14 | New Hampshire | ~30K | 1.00× | |
| 15 | Idaho | ~40K | 0.99× | |
| 16 | West Virginia | ~40K | 0.99× | |
| 17 | Washington, District of Columbia | ~30K | 0.98× | |
| 18 | Massachusetts | ~200K | 0.97× | |
| 19 | Mississippi | ~70K | 0.97× | |
| 20 | Minnesota | ~100K | 0.96× | |
| 21 | Oklahoma | ~90K | 0.96× | |
| 22 | Nevada | ~80K | 0.96× | |
| 23 | Iowa | ~70K | 0.96× | |
| 24 | New Mexico | ~40K | 0.96× | |
| 25 | Nebraska | ~40K | 0.96× | |
| 26 | Virginia | ~200K | 0.95× | |
| 27 | Colorado | ~100K | 0.95× | |
| 28 | Utah | ~70K | 0.95× | |
| 29 | Arkansas | ~70K | 0.95× | |
| 30 | Kansas | ~60K | 0.95× | |
| 31 | Maryland | ~100K | 0.94× | |
| 32 | Kentucky | ~100K | 0.93× | |
| 33 | Connecticut | ~80K | 0.93× | |
| 34 | Missouri | ~100K | 0.92× | |
| 35 | Alabama | ~100K | 0.92× | |
| 36 | Pennsylvania | ~300K | 0.91× | |
| 37 | Illinois | ~300K | 0.91× | |
| 38 | Wisconsin | ~100K | 0.91× | |
| 39 | South Carolina | ~100K | 0.90× | |
| 40 | Louisiana | ~100K | 0.90× | |
| 41 | Arizona | ~200K | 0.89× | |
| 42 | Indiana | ~100K | 0.89× | |
| 43 | Georgia | ~200K | 0.88× | |
| 44 | New Jersey | ~200K | 0.88× | |
| 45 | Tennessee | ~200K | 0.88× | |
| 46 | Ohio | ~200K | 0.87× | |
| 47 | North Carolina | ~200K | 0.87× | |
| 48 | Michigan | ~200K | 0.87× | |
| 49 | Texas | ~600K | 0.84× | |
| 50 | Florida | ~500K | 0.83× |
The strongest cross-interests of the Internet slang audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Urban Dictionary | Internet & Social Media | 10.97× | ||
| 02 | Cougar | Kids & Family | 10.97× | ||
| 03 | Ronaldinho | Sports | 10.97× | ||
| 04 | Rick Astley | Music & Radio | 10.97× | ||
| 05 | Pep Guardiola | Sports | 10.97× | ||
| 06 | James Franco | Movies & TV | 9.02× | ||
| 07 | I, Robot (film) | Movies & TV | 6.94× | ||
| 08 | Berlin Wall | Travel & Leisure | 5.16× | ||
| 09 | Web server | Technology & Electronics | 2.96× | ||
| 10 | Chuck Norris | Movies & TV | 2.73× | ||
| 11 | Britney Spears | Music & Radio | 2.26× | ||
| 12 | Internet celebrity | Internet & Social Media | 2.10× | ||
| 13 | Pokémon | Games | 2.02× | ||
| 14 | GameStop | Games | 1.92× | ||
| 15 | Subscription business model | Shopping | 1.85× | ||
| 16 | Radio | Technology & Electronics | 1.84× | ||
| 17 | Genetics | Kids & Family | 1.71× | ||
| 18 | Nostalgia | Home & Garden | 1.63× | ||
| 19 | Gambling | Games | 1.60× | ||
| 20 | Financial services | Business & Career | 1.52× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.98× | |
| Spirituality | BALANCE | 1.46× | |
| Individualism | JOY | 1.31× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.79× | |
| Luxury Orientation | PREMIUM | 0.81× | |
| Pet Ownership | JOY | 0.84× |
Internet slang has an estimated audience of 8,589,833 people in United States, concentrated in California and Texas.
54.0% of Internet slang fans are female, 46.0% are male, with an average age of 32.9 years.
Internet slang fans show strongest brand affinity for Urban Dictionary (10.97×), James Franco (9.02×), and Cougar (10.97×) over the country average.
Internet slang fans in United States are most concentrated in California (reach ~1M), Texas (reach ~600K), and New York (reach ~500K). These three regions account for the largest share of the active audience.
Beyond Internet slang itself, the audience over-indexes on James Franco (9.02×), Cougar (10.97×), Ronaldinho (10.97×), and Chuck Norris (2.73×) 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 slang. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.