A data profile of the people who buy, follow and care about Health care in United States — modelled from more than twelve digital signal sources. Health care has an estimated audience of 81,330,724 people in United States.
The average Health care fan in United States is 44.1 years old, more female, and lives primarily in Texas.
The audience is concentrated in Texas, California, Florida.
Top brand affinities include Nancy Mace, Lindsey Graham, Mitch McConnell, with strongest over-indexing on Nancy Mace (2.72× the country average).
Demographically, the Health care audience skews more female with an average age of 44.1, and over-indexes on personality traits such as Need for Security, Family Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Health care fan in United States is more female, around 44.1 years old, with strong Need for Security tendencies and a notable affinity for Nancy Mace.
The key figures that characterise the Health care profile in United States.
59.9% are female, 40.1% are male, average age 44.1.
| Metric | Value |
|---|---|
| Female | 59.9% |
| Male | 40.1% |
| Average age | 44.1 |
| Estimated audience size | 81,330,724 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 11% | |
| 20-29 | 15% | |
| 30-39 | 18% | |
| 40-49 | 23% | |
| 50+ | 33% |
of the worldwide Health care audience comes from United States.
| Country | Share |
|---|---|
| United States | 21.8% |
| India | 4.5% |
| United Kingdom | 4.3% |
Where the Health care audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Maine | ~500K | 1.72× | |
| 02 | Florida | ~6.5M | 1.22× | |
| 03 | Washington, District of Columbia | ~300K | 1.20× | |
| 04 | Texas | ~8M | 1.17× | |
| 05 | Kansas | ~700K | 1.16× | |
| 06 | North Carolina | ~3M | 1.13× | |
| 07 | Illinois | ~3M | 1.11× | |
| 08 | Georgia | ~3M | 1.11× | |
| 09 | Arizona | ~2M | 1.08× | |
| 10 | Wisconsin | ~1.5M | 1.08× | |
| 11 | Nebraska | ~400K | 1.08× | |
| 12 | Tennessee | ~1.5M | 1.06× | |
| 13 | Alabama | ~1M | 1.06× | |
| 14 | Missouri | ~1.5M | 1.05× | |
| 15 | South Carolina | ~1.5M | 1.05× | |
| 16 | Arkansas | ~700K | 1.05× | |
| 17 | Indiana | ~1.5M | 1.04× | |
| 18 | Louisiana | ~1M | 1.04× | |
| 19 | Mississippi | ~700K | 1.04× | |
| 20 | Delaware | ~200K | 1.04× | |
| 21 | South Dakota | ~200K | 1.04× | |
| 22 | Iowa | ~700K | 1.03× | |
| 23 | Wyoming | ~100K | 1.03× | |
| 24 | New Hampshire | ~300K | 1.02× | |
| 25 | Virginia | ~2M | 1.00× | |
| 26 | Utah | ~700K | 0.99× | |
| 27 | Ohio | ~2.5M | 0.98× | |
| 28 | Oklahoma | ~900K | 0.98× | |
| 29 | Montana | ~200K | 0.98× | |
| 30 | North Dakota | ~200K | 0.98× | |
| 31 | Michigan | ~2M | 0.97× | |
| 32 | Maryland | ~1.5M | 0.95× | |
| 33 | Connecticut | ~800K | 0.95× | |
| 34 | New York | ~4.5M | 0.94× | |
| 35 | Oregon | ~900K | 0.94× | |
| 36 | New Mexico | ~400K | 0.94× | |
| 37 | Minnesota | ~1M | 0.93× | |
| 38 | West Virginia | ~400K | 0.93× | |
| 39 | Alaska | ~200K | 0.93× | |
| 40 | Washington | ~1.5M | 0.92× | |
| 41 | Kentucky | ~900K | 0.91× | |
| 42 | Rhode Island | ~200K | 0.89× | |
| 43 | California | ~8M | 0.88× | |
| 44 | Pennsylvania | ~2.5M | 0.86× | |
| 45 | Colorado | ~1M | 0.86× | |
| 46 | Idaho | ~400K | 0.86× | |
| 47 | Hawaii | ~300K | 0.86× | |
| 48 | Massachusetts | ~1.5M | 0.85× | |
| 49 | New Jersey | ~1.5M | 0.83× | |
| 50 | Nevada | ~600K | 0.81× |
The strongest cross-interests of the Health care audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Nancy Mace | Politics & Society | 2.72× | ||
| 02 | Medicare (United States) | Health | 2.50× | ||
| 03 | LabCorp | Health | 2.47× | ||
| 04 | Savannah Guthrie | Movies & TV | 2.28× | ||
| 05 | Google News | News | 2.27× | ||
| 06 | Old age | Politics & Society | 2.27× | ||
| 07 | Retirement community | Kids & Family | 2.25× | ||
| 08 | Retirement | Business & Career | 1.91× | ||
| 09 | Homo sapiens | Kids & Family | 1.88× | ||
| 10 | Lindsey Graham | Politics & Society | 1.85× | ||
| 11 | Word | Kids & Family | 1.78× | ||
| 12 | Patient | Health | 1.69× | ||
| 13 | Health care provider | Health | 1.67× | ||
| 14 | Mitch McConnell | Politics & Society | 1.64× | ||
| 15 | Google Drive | Technology & Electronics | 1.63× | ||
| 16 | Grandparent | Kids & Family | 1.63× | ||
| 17 | Nursing | Business & Career | 1.60× | ||
| 18 | Hospital | Health | 1.58× | ||
| 19 | Melania Trump | Politics & Society | 1.53× | ||
| 20 | Physician | Business & Career | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 1.26× | |
| Family Orientation | CONSERVATISM | 1.20× | |
| Mindfulness | BALANCE | 1.18× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 0.78× | |
| Risk Appetite | THRILL | 0.83× | |
| Sports Activity | POWER | 0.85× |
Health care has an estimated audience of 81,330,724 people in United States, concentrated in Texas and California.
59.9% of Health care fans are female, 40.1% are male, with an average age of 44.1 years.
Health care fans show strongest brand affinity for Nancy Mace (2.72×), Lindsey Graham (1.85×), and Mitch McConnell (1.64×) over the country average.
Health care fans in United States are most concentrated in Texas (reach ~8M), California (reach ~8M), and Florida (reach ~6.5M). These three regions account for the largest share of the active audience.
Beyond Health care itself, the audience over-indexes on Lindsey Graham (1.85×), Mitch McConnell (1.64×), LabCorp (2.47×), and Google Drive (1.63×) 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 Health care. 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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