A data profile of the people who buy, follow and care about babble in United States — modelled from more than twelve digital signal sources. babble has an estimated audience of 513,692 people in United States.
The average babble fan in United States is 36.8 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Fred Astaire, Humphrey Bogart, Baby toys, with strongest over-indexing on Fred Astaire (68.6× the country average).
Demographically, the babble audience skews more female with an average age of 36.8, 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 babble fan in United States is more female, around 36.8 years old, with strong Patriotism tendencies and a notable affinity for Fred Astaire.
The key figures that characterise the babble profile in United States.
86.0% are female, 14.0% are male, average age 36.8.
| Metric | Value |
|---|---|
| Female | 86.0% |
| Male | 14.0% |
| Average age | 36.8 |
| Estimated audience size | 513,692 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 21% | |
| 20-29 | 25% | |
| 30-39 | 22% | |
| 40-49 | 18% | |
| 50+ | 14% |
of the worldwide babble audience comes from United States.
| Country | Share |
|---|---|
| United States | 47.1% |
| United Kingdom | 8.5% |
| China | 4.1% |
Where the babble audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Oklahoma | ~9K | 1.70× | |
| 02 | Idaho | ~3K | 1.17× | |
| 03 | Maine | ~2K | 1.17× | |
| 04 | Montana | ~1K | 1.12× | |
| 05 | Vermont | <1K | 1.11× | |
| 06 | Virginia | ~10K | 1.10× | |
| 07 | Washington | ~10K | 1.10× | |
| 08 | New Hampshire | ~2K | 1.10× | |
| 09 | Massachusetts | ~10K | 1.09× | |
| 10 | Oregon | ~6K | 1.07× | |
| 11 | Alaska | ~1K | 1.06× | |
| 12 | Wisconsin | ~8K | 1.05× | |
| 13 | North Carolina | ~10K | 1.03× | |
| 14 | Connecticut | ~5K | 1.03× | |
| 15 | Minnesota | ~7K | 1.02× | |
| 16 | Colorado | ~8K | 1.01× | |
| 17 | Iowa | ~4K | 1.01× | |
| 18 | North Dakota | <1K | 1.01× | |
| 19 | Indiana | ~9K | 1.00× | |
| 20 | Kansas | ~4K | 1.00× | |
| 21 | California | ~50K | 0.99× | |
| 22 | South Carolina | ~7K | 0.99× | |
| 23 | South Dakota | ~1K | 0.99× | |
| 24 | New Jersey | ~10K | 0.98× | |
| 25 | Missouri | ~8K | 0.98× | |
| 26 | Rhode Island | ~1K | 0.98× | |
| 27 | New York | ~30K | 0.97× | |
| 28 | Hawaii | ~2K | 0.96× | |
| 29 | Nebraska | ~2K | 0.95× | |
| 30 | Pennsylvania | ~20K | 0.94× | |
| 31 | Louisiana | ~6K | 0.94× | |
| 32 | Arkansas | ~4K | 0.94× | |
| 33 | New Mexico | ~2K | 0.94× | |
| 34 | Delaware | ~1K | 0.94× | |
| 35 | Arizona | ~9K | 0.93× | |
| 36 | Texas | ~40K | 0.92× | |
| 37 | Georgia | ~10K | 0.92× | |
| 38 | Ohio | ~10K | 0.92× | |
| 39 | Michigan | ~10K | 0.92× | |
| 40 | Tennessee | ~9K | 0.92× | |
| 41 | Kentucky | ~6K | 0.92× | |
| 42 | Utah | ~4K | 0.92× | |
| 43 | Illinois | ~10K | 0.91× | |
| 44 | West Virginia | ~2K | 0.91× | |
| 45 | Washington, District of Columbia | ~1K | 0.91× | |
| 46 | Maryland | ~7K | 0.90× | |
| 47 | Alabama | ~6K | 0.89× | |
| 48 | Mississippi | ~3K | 0.86× | |
| 49 | Florida | ~30K | 0.85× | |
| 50 | Nevada | ~4K | 0.83× |
The strongest cross-interests of the babble audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Fred Astaire | Movies & TV | 68.60× | ||
| 02 | Humphrey Bogart | Movies & TV | 60.67× | ||
| 03 | Judi Dench | Movies & TV | 39.14× | ||
| 04 | Luvs | Kids & Family | 36.98× | ||
| 05 | Tinker Bell (film series) | Movies & TV | 34.86× | ||
| 06 | Baby toys | Kids & Family | 29.45× | ||
| 07 | Chloe Sevigny | Movies & TV | 21.01× | ||
| 08 | Michael Fassbender | Movies & TV | 20.00× | ||
| 09 | Personal Creations | Kids & Family | 20.00× | ||
| 10 | Supermoto | Cars & Mobility | 17.49× | ||
| 11 | James Stewart | Movies & TV | 17.38× | ||
| 12 | Hugh Grant | Movies & TV | 15.79× | ||
| 13 | Helen Mirren | Movies & TV | 13.74× | ||
| 14 | Olivia Colman | Movies & TV | 13.20× | ||
| 15 | Baby-led weaning | Technology & Electronics | 11.07× | ||
| 16 | Paul Newman | Movies & TV | 10.04× | ||
| 17 | Sam Elliott | Movies & TV | 6.72× | ||
| 18 | Non-alcoholic beverage | Food & Beverages | 4.93× | ||
| 19 | Diane Keaton | Movies & TV | 4.45× | ||
| 20 | Britney Spears | Music & Radio | 3.60× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.06× | |
| Community Orientation | OPEN | 1.64× | |
| Convenience Orientation | PREMIUM | 1.58× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 0.80× | |
| Sustainability | BALANCE | 0.81× | |
| Risk Appetite | THRILL | 0.81× |
babble has an estimated audience of 513,692 people in United States, concentrated in California and Texas.
86.0% of babble fans are female, 14.0% are male, with an average age of 36.8 years.
babble fans show strongest brand affinity for Fred Astaire (68.6×), Humphrey Bogart (60.67×), and Baby toys (29.45×) over the country average.
babble fans in United States are most concentrated in California (reach ~50K), Texas (reach ~40K), and Florida (reach ~30K). These three regions account for the largest share of the active audience.
Beyond babble itself, the audience over-indexes on Humphrey Bogart (60.67×), Baby toys (29.45×), Judi Dench (39.14×), and Tinker Bell (film series) (34.86×) 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 babble. 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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