A data profile of the people who buy, follow and care about Slang in United States — modelled from more than twelve digital signal sources. Slang has an estimated audience of 8,930,891 people in United States.
The average Slang fan in United States is 35.2 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Urban Dictionary, Superman, FlightAware, with strongest over-indexing on Urban Dictionary (16.08× the country average).
Demographically, the Slang audience skews balanced with an average age of 35.2, and over-indexes on personality traits such as Patriotism, Community Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Slang fan in United States is balanced, around 35.2 years old, with strong Patriotism tendencies and a notable affinity for Urban Dictionary.
The key figures that characterise the Slang profile in United States.
50.2% are female, 49.8% are male, average age 35.2.
| Metric | Value |
|---|---|
| Female | 50.2% |
| Male | 49.8% |
| Average age | 35.2 |
| Estimated audience size | 8,930,891 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 29% | |
| 20-29 | 23% | |
| 30-39 | 18% | |
| 40-49 | 17% | |
| 50+ | 13% |
of the worldwide Slang audience comes from United States.
| Country | Share |
|---|---|
| United States | 37.0% |
| United Kingdom | 5.3% |
| Mexico | 5.2% |
Where the Slang audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Louisiana | ~200K | 1.31× | |
| 02 | California | ~1.5M | 1.29× | |
| 03 | Washington | ~200K | 1.18× | |
| 04 | Hawaii | ~40K | 1.17× | |
| 05 | Utah | ~90K | 1.16× | |
| 06 | Texas | ~800K | 1.09× | |
| 07 | Nebraska | ~50K | 1.08× | |
| 08 | South Dakota | ~20K | 1.08× | |
| 09 | New York | ~500K | 1.07× | |
| 10 | Arizona | ~200K | 1.07× | |
| 11 | Kansas | ~80K | 1.07× | |
| 12 | Maryland | ~200K | 1.06× | |
| 13 | Georgia | ~300K | 1.05× | |
| 14 | Virginia | ~200K | 1.05× | |
| 15 | Oklahoma | ~100K | 1.05× | |
| 16 | Indiana | ~200K | 1.04× | |
| 17 | Missouri | ~200K | 1.04× | |
| 18 | Kentucky | ~100K | 1.02× | |
| 19 | Mississippi | ~80K | 1.02× | |
| 20 | Arkansas | ~70K | 1.02× | |
| 21 | Oregon | ~100K | 1.01× | |
| 22 | Nevada | ~90K | 1.01× | |
| 23 | Alaska | ~20K | 1.01× | |
| 24 | Florida | ~600K | 1.00× | |
| 25 | Massachusetts | ~200K | 1.00× | |
| 26 | Minnesota | ~100K | 1.00× | |
| 27 | Alabama | ~100K | 1.00× | |
| 28 | Illinois | ~300K | 0.99× | |
| 29 | North Carolina | ~300K | 0.99× | |
| 30 | New Jersey | ~200K | 0.98× | |
| 31 | Tennessee | ~200K | 0.98× | |
| 32 | South Carolina | ~100K | 0.98× | |
| 33 | New Mexico | ~40K | 0.98× | |
| 34 | Idaho | ~40K | 0.98× | |
| 35 | Pennsylvania | ~300K | 0.97× | |
| 36 | North Dakota | ~20K | 0.97× | |
| 37 | Wisconsin | ~100K | 0.96× | |
| 38 | Michigan | ~200K | 0.95× | |
| 39 | Connecticut | ~90K | 0.95× | |
| 40 | Ohio | ~300K | 0.94× | |
| 41 | Iowa | ~70K | 0.94× | |
| 42 | West Virginia | ~40K | 0.94× | |
| 43 | Delaware | ~20K | 0.93× | |
| 44 | Vermont | ~10K | 0.92× | |
| 45 | Montana | ~20K | 0.91× | |
| 46 | Colorado | ~100K | 0.90× | |
| 47 | Rhode Island | ~30K | 0.89× | |
| 48 | Washington, District of Columbia | ~20K | 0.89× | |
| 49 | New Hampshire | ~30K | 0.86× | |
| 50 | Maine | ~30K | 0.86× |
The strongest cross-interests of the Slang audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Urban Dictionary | Internet & Social Media | 16.08× | ||
| 02 | Pep Guardiola | Sports | 11.67× | ||
| 03 | Cougar | Kids & Family | 11.57× | ||
| 04 | Michelle Rodriguez | Movies & TV | 8.48× | ||
| 05 | I, Robot (film) | Movies & TV | 8.09× | ||
| 06 | Eva Green | Movies & TV | 7.66× | ||
| 07 | International education | Business & Career | 6.62× | ||
| 08 | FlightAware | Travel & Leisure | 6.53× | ||
| 09 | Chuck Norris | Movies & TV | 2.68× | ||
| 10 | Google Flights | Travel & Leisure | 2.58× | ||
| 11 | DC Comics | Literature | 2.44× | ||
| 12 | Beetlejuice | Movies & TV | 2.38× | ||
| 13 | Britney Spears | Music & Radio | 2.13× | ||
| 14 | Internet celebrity | Internet & Social Media | 2.10× | ||
| 15 | Radio | Technology & Electronics | 1.98× | ||
| 16 | GameStop | Games | 1.98× | ||
| 17 | Superman | Movies & TV | 1.87× | ||
| 18 | Subscription business model | Shopping | 1.71× | ||
| 19 | Genetics | Kids & Family | 1.60× | ||
| 20 | Harry Potter | Movies & TV | 1.54× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 1.48× | |
| Community Orientation | OPEN | 1.36× | |
| Spirituality | BALANCE | 1.31× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Family Orientation | CONSERVATISM | 0.84× | |
| Creativity | OPEN | 0.88× | |
| Healthy Lifestyle | BALANCE | 0.89× |
Slang has an estimated audience of 8,930,891 people in United States, concentrated in California and Texas.
50.2% of Slang fans are female, 49.8% are male, with an average age of 35.2 years.
Slang fans show strongest brand affinity for Urban Dictionary (16.08×), Superman (1.87×), and FlightAware (6.53×) over the country average.
Slang fans in United States are most concentrated in California (reach ~1.5M), Texas (reach ~800K), and Florida (reach ~600K). These three regions account for the largest share of the active audience.
Beyond Slang itself, the audience over-indexes on Superman (1.87×), FlightAware (6.53×), Cougar (11.57×), and Michelle Rodriguez (8.48×) 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 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.
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