A data profile of the people who buy, follow and care about Slavic languages in United States — modelled from more than twelve digital signal sources. Slavic languages has an estimated audience of 327,110 people in United States.
The average Slavic languages fan in United States is 43.1 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Georgia.
Top brand affinities include Robert Lewandowski, Non-alcoholic beverage, Ryan Gosling, with strongest over-indexing on Robert Lewandowski (12.82× the country average).
Demographically, the Slavic languages audience skews more male with an average age of 43.1, and over-indexes on personality traits such as Career Orientation, Individualism.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Slavic languages fan in United States is more male, around 43.1 years old, with strong Career Orientation tendencies and a notable affinity for Robert Lewandowski.
The key figures that characterise the Slavic languages profile in United States.
29.5% are female, 70.5% are male, average age 43.1.
| Metric | Value |
|---|---|
| Female | 29.5% |
| Male | 70.5% |
| Average age | 43.1 |
| Estimated audience size | 327,110 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 15% | |
| 20-29 | 14% | |
| 30-39 | 15% | |
| 40-49 | 26% | |
| 50+ | 30% |
of the worldwide Slavic languages audience comes from United States.
| Country | Share |
|---|---|
| United States | 47.1% |
| Austria | 17.7% |
| Germany | 12.3% |
Where the Slavic languages audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Georgia | ~20K | 2.06× | |
| 02 | Washington | ~8K | 1.21× | |
| 03 | Alaska | <1K | 1.15× | |
| 04 | Illinois | ~10K | 1.13× | |
| 05 | Oregon | ~4K | 1.13× | |
| 06 | Utah | ~3K | 1.12× | |
| 07 | Virginia | ~9K | 1.10× | |
| 08 | Massachusetts | ~7K | 1.10× | |
| 09 | New York | ~20K | 1.05× | |
| 10 | Texas | ~30K | 1.04× | |
| 11 | Washington, District of Columbia | ~1K | 1.04× | |
| 12 | New Jersey | ~8K | 1.02× | |
| 13 | Missouri | ~5K | 1.02× | |
| 14 | Colorado | ~5K | 1.02× | |
| 15 | Minnesota | ~5K | 1.02× | |
| 16 | Idaho | ~2K | 1.02× | |
| 17 | Vermont | <1K | 1.02× | |
| 18 | Kentucky | ~4K | 1.01× | |
| 19 | Connecticut | ~3K | 1.01× | |
| 20 | New Mexico | ~2K | 1.01× | |
| 21 | Maine | ~1K | 1.01× | |
| 22 | North Dakota | <1K | 1.00× | |
| 23 | Pennsylvania | ~10K | 0.99× | |
| 24 | Indiana | ~6K | 0.99× | |
| 25 | South Carolina | ~5K | 0.99× | |
| 26 | New Hampshire | ~1K | 0.99× | |
| 27 | Montana | <1K | 0.99× | |
| 28 | Oklahoma | ~4K | 0.98× | |
| 29 | Kansas | ~3K | 0.98× | |
| 30 | Nebraska | ~2K | 0.98× | |
| 31 | Hawaii | ~1K | 0.98× | |
| 32 | North Carolina | ~10K | 0.97× | |
| 33 | Michigan | ~8K | 0.97× | |
| 34 | California | ~30K | 0.96× | |
| 35 | Iowa | ~3K | 0.96× | |
| 36 | Arkansas | ~3K | 0.96× | |
| 37 | South Dakota | <1K | 0.96× | |
| 38 | Rhode Island | <1K | 0.95× | |
| 39 | Delaware | <1K | 0.95× | |
| 40 | Maryland | ~5K | 0.94× | |
| 41 | Wisconsin | ~5K | 0.93× | |
| 42 | West Virginia | ~1K | 0.93× | |
| 43 | Arizona | ~6K | 0.92× | |
| 44 | Tennessee | ~6K | 0.92× | |
| 45 | Ohio | ~9K | 0.91× | |
| 46 | Alabama | ~4K | 0.91× | |
| 47 | Nevada | ~3K | 0.91× | |
| 48 | Mississippi | ~2K | 0.91× | |
| 49 | Florida | ~20K | 0.90× | |
| 50 | Louisiana | ~4K | 0.90× |
The strongest cross-interests of the Slavic languages audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Robert Lewandowski | Sports | 12.82× | ||
| 02 | Bella Thorne | Movies & TV | 4.81× | ||
| 03 | Tom Hardy | Movies & TV | 3.57× | ||
| 04 | Freedom of speech | Politics & Society | 3.45× | ||
| 05 | Ryan Gosling | Movies & TV | 3.33× | ||
| 06 | Malt whisky | Food & Beverages | 3.03× | ||
| 07 | Non-alcoholic beverage | Food & Beverages | 2.69× | ||
| 08 | Robotics | Technology & Electronics | 2.48× | ||
| 09 | Paris Saint-Germain | Sports | 2.45× | ||
| 10 | Art Deco | Arts & Culture | 2.35× | ||
| 11 | Internet service provider | Technology & Electronics | 2.32× | ||
| 12 | Magic: The Gathering | Games | 2.18× | ||
| 13 | Fanatics | Fashion & Accessoires | 2.17× | ||
| 14 | Rail transport | Travel & Leisure | 2.11× | ||
| 15 | Online newspaper | News | 1.91× | ||
| 16 | Internet celebrity | Internet & Social Media | 1.88× | ||
| 17 | Jessica Alba | Movies & TV | 1.88× | ||
| 18 | Britney Spears | Music & Radio | 1.81× | ||
| 19 | Cleveland Guardians | Sports | 1.75× | ||
| 20 | Public transport | Cars & Mobility | 1.64× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.51× | |
| Individualism | JOY | 1.48× | |
| Community Orientation | OPEN | 1.24× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sustainability | BALANCE | 0.49× | |
| Mindfulness | BALANCE | 0.60× | |
| Social Media Usage | JOY | 0.60× |
Slavic languages has an estimated audience of 327,110 people in United States, concentrated in California and Texas.
29.5% of Slavic languages fans are female, 70.5% are male, with an average age of 43.1 years.
Slavic languages fans show strongest brand affinity for Robert Lewandowski (12.82×), Non-alcoholic beverage (2.69×), and Ryan Gosling (3.33×) over the country average.
Slavic languages fans in United States are most concentrated in California (reach ~30K), Texas (reach ~30K), and Georgia (reach ~20K). These three regions account for the largest share of the active audience.
Beyond Slavic languages itself, the audience over-indexes on Non-alcoholic beverage (2.69×), Ryan Gosling (3.33×), Online newspaper (1.91×), and Britney Spears (1.81×) 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 Slavic languages. 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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