A data profile of the people who buy, follow and care about Whole life insurance in United States — modelled from more than twelve digital signal sources. Whole life insurance has an estimated audience of 3,086,816 people in United States.
The average Whole life insurance fan in United States is 45.9 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include forex trader, Forex signals, Term life insurance, with strongest over-indexing on forex trader (37.4× the country average).
Demographically, the Whole life insurance audience skews balanced with an average age of 45.9, and over-indexes on personality traits such as Career Orientation, Risk Appetite.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Whole life insurance fan in United States is balanced, around 45.9 years old, with strong Career Orientation tendencies and a notable affinity for forex trader.
The key figures that characterise the Whole life insurance profile in United States.
51.9% are female, 48.1% are male, average age 45.9.
| Metric | Value |
|---|---|
| Female | 51.9% |
| Male | 48.1% |
| Average age | 45.9 |
| Estimated audience size | 3,086,816 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 9% | |
| 20-29 | 12% | |
| 30-39 | 17% | |
| 40-49 | 26% | |
| 50+ | 37% |
Where the Whole life insurance audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Maryland | ~80K | 1.56× | |
| 02 | Mississippi | ~40K | 1.41× | |
| 03 | Delaware | ~10K | 1.34× | |
| 04 | West Virginia | ~20K | 1.33× | |
| 05 | Louisiana | ~50K | 1.32× | |
| 06 | Colorado | ~60K | 1.29× | |
| 07 | North Dakota | ~8K | 1.29× | |
| 08 | Alabama | ~50K | 1.25× | |
| 09 | Arkansas | ~30K | 1.22× | |
| 10 | South Carolina | ~60K | 1.21× | |
| 11 | Georgia | ~100K | 1.20× | |
| 12 | New Hampshire | ~10K | 1.19× | |
| 13 | Vermont | ~6K | 1.19× | |
| 14 | Maine | ~10K | 1.17× | |
| 15 | Rhode Island | ~10K | 1.17× | |
| 16 | Kentucky | ~40K | 1.14× | |
| 17 | Hawaii | ~20K | 1.14× | |
| 18 | South Dakota | ~8K | 1.09× | |
| 19 | Tennessee | ~70K | 1.06× | |
| 20 | Virginia | ~80K | 1.04× | |
| 21 | North Carolina | ~100K | 1.03× | |
| 22 | Missouri | ~50K | 1.03× | |
| 23 | Kansas | ~20K | 1.01× | |
| 24 | Alaska | ~7K | 1.00× | |
| 25 | Oklahoma | ~30K | 0.99× | |
| 26 | Montana | ~8K | 0.97× | |
| 27 | New York | ~200K | 0.96× | |
| 28 | Florida | ~200K | 0.94× | |
| 29 | Ohio | ~90K | 0.94× | |
| 30 | Indiana | ~50K | 0.92× | |
| 31 | Connecticut | ~30K | 0.92× | |
| 32 | New Mexico | ~10K | 0.92× | |
| 33 | Idaho | ~10K | 0.92× | |
| 34 | Texas | ~200K | 0.91× | |
| 35 | Pennsylvania | ~90K | 0.89× | |
| 36 | Nebraska | ~10K | 0.89× | |
| 37 | Nevada | ~30K | 0.87× | |
| 38 | Iowa | ~20K | 0.86× | |
| 39 | Illinois | ~90K | 0.85× | |
| 40 | New Jersey | ~70K | 0.84× | |
| 41 | Michigan | ~70K | 0.83× | |
| 42 | California | ~300K | 0.81× | |
| 43 | Wisconsin | ~40K | 0.78× | |
| 44 | Utah | ~20K | 0.76× | |
| 45 | Arizona | ~50K | 0.73× | |
| 46 | Massachusetts | ~40K | 0.73× | |
| 47 | Washington, District of Columbia | ~7K | 0.73× | |
| 48 | Minnesota | ~30K | 0.72× | |
| 49 | Oregon | ~20K | 0.69× | |
| 50 | Washington | ~40K | 0.65× |
The strongest cross-interests of the Whole life insurance audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | XForex | Business & Career | 37.47× | ||
| 02 | forex trader | Business & Career | 37.40× | ||
| 03 | Plus500 | Business & Career | 26.97× | ||
| 04 | Equity loan | Business & Career | 24.58× | ||
| 05 | Forex signals | Business & Career | 24.16× | ||
| 06 | Term life insurance | Business & Career | 19.41× | ||
| 07 | MetaTrader 4 | Business & Career | 15.24× | ||
| 08 | General insurance | Business & Career | 15.07× | ||
| 09 | Smart Communications | Technology & Electronics | 14.84× | ||
| 10 | MetLife | Business & Career | 14.45× | ||
| 11 | Forex Factory | Business & Career | 14.25× | ||
| 12 | FXCM | Business & Career | 14.24× | ||
| 13 | Forex signal | Business & Career | 13.78× | ||
| 14 | COSCO | Business & Career | 10.84× | ||
| 15 | Swing trading | Business & Career | 10.49× | ||
| 16 | Stock market index | Business & Career | 9.89× | ||
| 17 | Citibank | Business & Career | 7.34× | ||
| 18 | City Bank | Business & Career | 6.10× | ||
| 19 | Indeed.com | Business & Career | 2.36× | ||
| 20 | FIFA World Cup 2026 | Sports | 1.58× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 2.14× | |
| Risk Appetite | THRILL | 1.58× | |
| Need for Security | CONSERVATISM | 1.53× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.81× | |
| Creativity | OPEN | 0.94× | |
| Pet Ownership | JOY | 0.95× |
Whole life insurance has an estimated audience of 3,086,816 people in United States, concentrated in California and Texas.
51.9% of Whole life insurance fans are female, 48.1% are male, with an average age of 45.9 years.
Whole life insurance fans show strongest brand affinity for forex trader (37.4×), Forex signals (24.16×), and Term life insurance (19.41×) over the country average.
Whole life insurance fans in United States are most concentrated in California (reach ~300K), Texas (reach ~200K), and Florida (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Whole life insurance itself, the audience over-indexes on Forex signals (24.16×), Term life insurance (19.41×), Citibank (7.34×), and MetLife (14.45×) 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 Whole life insurance. 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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