A data profile of the people who buy, follow and care about Duolingo in United States — modelled from more than twelve digital signal sources. Duolingo has an estimated audience of 11,201,130 people in United States.
The average Duolingo fan in United States is 35.9 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Ruben Gallego, Xavier Becerra, Business English, with strongest over-indexing on Ruben Gallego (28× the country average).
Demographically, the Duolingo audience skews more female with an average age of 35.9, and over-indexes on personality traits such as Tradition, Price Sensitivity.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Duolingo fan in United States is more female, around 35.9 years old, with strong Tradition tendencies and a notable affinity for Ruben Gallego.
The key figures that characterise the Duolingo profile in United States.
57.2% are female, 42.8% are male, average age 35.9.
| Metric | Value |
|---|---|
| Female | 57.2% |
| Male | 42.8% |
| Average age | 35.9 |
| Estimated audience size | 11,201,130 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 29% | |
| 20-29 | 20% | |
| 30-39 | 19% | |
| 40-49 | 18% | |
| 50+ | 14% |
Where the Duolingo audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Utah | ~100K | 1.49× | |
| 02 | Washington | ~300K | 1.27× | |
| 03 | New Jersey | ~300K | 1.25× | |
| 04 | Texas | ~1M | 1.17× | |
| 05 | Virginia | ~300K | 1.16× | |
| 06 | Idaho | ~60K | 1.16× | |
| 07 | Pennsylvania | ~400K | 1.15× | |
| 08 | North Carolina | ~400K | 1.13× | |
| 09 | Louisiana | ~200K | 1.13× | |
| 10 | Vermont | ~20K | 1.13× | |
| 11 | Wisconsin | ~200K | 1.12× | |
| 12 | Maine | ~40K | 1.11× | |
| 13 | Massachusetts | ~200K | 1.10× | |
| 14 | New Mexico | ~60K | 1.10× | |
| 15 | Rhode Island | ~40K | 1.10× | |
| 16 | Maryland | ~200K | 1.08× | |
| 17 | Oregon | ~100K | 1.08× | |
| 18 | Kansas | ~90K | 1.06× | |
| 19 | Alaska | ~20K | 1.06× | |
| 20 | New York | ~600K | 1.05× | |
| 21 | California | ~1.5M | 1.04× | |
| 22 | Georgia | ~300K | 1.02× | |
| 23 | Connecticut | ~100K | 1.02× | |
| 24 | Kentucky | ~100K | 1.01× | |
| 25 | Florida | ~700K | 1.00× | |
| 26 | Colorado | ~200K | 0.99× | |
| 27 | Indiana | ~200K | 0.98× | |
| 28 | South Carolina | ~200K | 0.98× | |
| 29 | Nebraska | ~50K | 0.98× | |
| 30 | Oklahoma | ~100K | 0.96× | |
| 31 | Iowa | ~90K | 0.96× | |
| 32 | Michigan | ~300K | 0.95× | |
| 33 | Arizona | ~200K | 0.95× | |
| 34 | Missouri | ~200K | 0.95× | |
| 35 | Illinois | ~300K | 0.93× | |
| 36 | New Hampshire | ~40K | 0.93× | |
| 37 | Delaware | ~30K | 0.92× | |
| 38 | Washington, District of Columbia | ~30K | 0.91× | |
| 39 | Minnesota | ~100K | 0.90× | |
| 40 | Hawaii | ~40K | 0.90× | |
| 41 | Arkansas | ~80K | 0.89× | |
| 42 | Montana | ~30K | 0.89× | |
| 43 | Tennessee | ~200K | 0.86× | |
| 44 | Alabama | ~100K | 0.86× | |
| 45 | North Dakota | ~20K | 0.86× | |
| 46 | Ohio | ~300K | 0.85× | |
| 47 | South Dakota | ~20K | 0.78× | |
| 48 | West Virginia | ~40K | 0.77× | |
| 49 | Nevada | ~80K | 0.75× | |
| 50 | Mississippi | ~70K | 0.73× |
The strongest cross-interests of the Duolingo audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | TOEIC | Business & Career | 30.57× | ||
| 02 | Sonia Sotomayor | Politics & Society | 29.00× | ||
| 03 | Business English | Business & Career | 28.62× | ||
| 04 | Ruben Gallego | Politics & Society | 28.00× | ||
| 05 | Ted Williams | Sports | 21.67× | ||
| 06 | Xavier Becerra | Politics & Society | 19.65× | ||
| 07 | Teaching English as a foreign language | Politics & Society | 18.91× | ||
| 08 | Celia Cruz | Music & Radio | 16.12× | ||
| 09 | Eva Mendes | Movies & TV | 14.11× | ||
| 10 | Test of English as a Foreign Language | Business & Career | 12.94× | ||
| 11 | America Ferrera | Movies & TV | 12.40× | ||
| 12 | Language school | Kids & Family | 11.35× | ||
| 13 | International English Language Testing System | Business & Career | 10.09× | ||
| 14 | Madea's Class Reunion | Movies & TV | 3.68× | ||
| 15 | Friendship | Kids & Family | 2.62× | ||
| 16 | Recreation | Travel & Leisure | 2.53× | ||
| 17 | United States | Travel & Leisure | 1.78× | ||
| 18 | Food and drink | Food & Beverages | 1.70× | ||
| 19 | Personal finance | Business & Career | 1.69× | ||
| 20 | Fitness and wellness | Sports | 1.57× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Tradition | CONSERVATISM | 1.27× | |
| Price Sensitivity | PREMIUM | 1.26× | |
| Social Media Usage | JOY | 1.24× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Design Affinity | PREMIUM | 0.83× | |
| Sports Activity | POWER | 0.88× | |
| Indulgence | JOY | 0.89× |
Duolingo has an estimated audience of 11,201,130 people in United States, concentrated in California and Texas.
57.2% of Duolingo fans are female, 42.8% are male, with an average age of 35.9 years.
Duolingo fans show strongest brand affinity for Ruben Gallego (28×), Xavier Becerra (19.65×), and Business English (28.62×) over the country average.
Duolingo fans in United States are most concentrated in California (reach ~1.5M), Texas (reach ~1M), and Florida (reach ~700K). These three regions account for the largest share of the active audience.
Beyond Duolingo itself, the audience over-indexes on Xavier Becerra (19.65×), Business English (28.62×), TOEIC (30.57×), and Sonia Sotomayor (29×) 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 Duolingo. 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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