A data profile of the people who buy, follow and care about Financial economics in United States — modelled from more than twelve digital signal sources. Financial economics has an estimated audience of 942,278 people in United States.
The average Financial economics fan in United States is 46.3 years old, more male, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Massive open online course, Derivative (finance), Master of Business Administration, with strongest over-indexing on Massive open online course (78.95× the country average).
Demographically, the Financial economics audience skews more male with an average age of 46.3, and over-indexes on personality traits such as Career Orientation, Need for Security.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Financial economics fan in United States is more male, around 46.3 years old, with strong Career Orientation tendencies and a notable affinity for Massive open online course.
The key figures that characterise the Financial economics profile in United States.
43.1% are female, 56.9% are male, average age 46.3.
| Metric | Value |
|---|---|
| Female | 43.1% |
| Male | 56.9% |
| Average age | 46.3 |
| Estimated audience size | 942,278 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 10% | |
| 20-29 | 13% | |
| 30-39 | 16% | |
| 40-49 | 18% | |
| 50+ | 44% |
Where the Financial economics audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~4K | 1.55× | |
| 02 | New York | ~80K | 1.52× | |
| 03 | Virginia | ~30K | 1.38× | |
| 04 | New Jersey | ~30K | 1.37× | |
| 05 | Maryland | ~20K | 1.34× | |
| 06 | Massachusetts | ~20K | 1.19× | |
| 07 | Alaska | ~2K | 1.18× | |
| 08 | Vermont | ~2K | 1.18× | |
| 09 | North Dakota | ~2K | 1.17× | |
| 10 | South Dakota | ~2K | 1.12× | |
| 11 | Montana | ~3K | 1.10× | |
| 12 | Connecticut | ~10K | 1.09× | |
| 13 | Delaware | ~3K | 1.08× | |
| 14 | Rhode Island | ~3K | 1.07× | |
| 15 | Maine | ~4K | 1.04× | |
| 16 | New Hampshire | ~4K | 1.03× | |
| 17 | West Virginia | ~4K | 1.02× | |
| 18 | Idaho | ~5K | 1.01× | |
| 19 | Hawaii | ~4K | 1.01× | |
| 20 | New Mexico | ~5K | 0.98× | |
| 21 | Nebraska | ~5K | 0.97× | |
| 22 | Mississippi | ~7K | 0.96× | |
| 23 | Illinois | ~30K | 0.94× | |
| 24 | Arkansas | ~7K | 0.94× | |
| 25 | Kansas | ~7K | 0.93× | |
| 26 | Iowa | ~7K | 0.92× | |
| 27 | Kentucky | ~10K | 0.91× | |
| 28 | North Carolina | ~30K | 0.90× | |
| 29 | Alabama | ~10K | 0.90× | |
| 30 | Louisiana | ~10K | 0.90× | |
| 31 | Oklahoma | ~9K | 0.90× | |
| 32 | Nevada | ~8K | 0.90× | |
| 33 | Utah | ~8K | 0.90× | |
| 34 | Missouri | ~10K | 0.89× | |
| 35 | California | ~90K | 0.88× | |
| 36 | Indiana | ~20K | 0.88× | |
| 37 | Minnesota | ~10K | 0.88× | |
| 38 | Pennsylvania | ~30K | 0.87× | |
| 39 | Washington | ~20K | 0.87× | |
| 40 | Oregon | ~9K | 0.87× | |
| 41 | South Carolina | ~10K | 0.86× | |
| 42 | Wisconsin | ~10K | 0.86× | |
| 43 | Georgia | ~20K | 0.84× | |
| 44 | Tennessee | ~20K | 0.84× | |
| 45 | Colorado | ~10K | 0.83× | |
| 46 | Arizona | ~20K | 0.81× | |
| 47 | Michigan | ~20K | 0.80× | |
| 48 | Ohio | ~20K | 0.78× | |
| 49 | Texas | ~60K | 0.73× | |
| 50 | Florida | ~40K | 0.68× |
The strongest cross-interests of the Financial economics audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Massive open online course | Business & Career | 78.95× | ||
| 02 | Derivative (finance) | Business & Career | 47.15× | ||
| 03 | Corporate finance | Business & Career | 28.86× | ||
| 04 | Window cleaner | Home & Garden | 26.81× | ||
| 05 | Data science | Business & Career | 13.93× | ||
| 06 | Master of Business Administration | Business & Career | 13.57× | ||
| 07 | Business intelligence | Business & Career | 11.63× | ||
| 08 | Karl Marx | Literature | 11.40× | ||
| 09 | Amazon Web Services | Technology & Electronics | 9.67× | ||
| 10 | Career development | Business & Career | 8.06× | ||
| 11 | Toy Story (franchise) | Movies & TV | 7.29× | ||
| 12 | Passive income | Business & Career | 6.18× | ||
| 13 | Innovation | Business & Career | 5.80× | ||
| 14 | Credit (finance) | Business & Career | 3.87× | ||
| 15 | American Express | Business & Career | 3.60× | ||
| 16 | Cloud computing | Technology & Electronics | 2.78× | ||
| 17 | Banking | Business & Career | 2.64× | ||
| 18 | MSN | News | 2.08× | ||
| 19 | Cooking | Food & Beverages | 1.57× | ||
| 20 | Alcoholic beverages | Food & Beverages | 1.57× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 3.16× | |
| Need for Security | CONSERVATISM | 2.63× | |
| Risk Appetite | THRILL | 2.13× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.75× | |
| Extroversion | THRILL | 0.80× | |
| DIY Mentality | THRILL | 0.85× |
Financial economics has an estimated audience of 942,278 people in United States, concentrated in California and New York.
43.1% of Financial economics fans are female, 56.9% are male, with an average age of 46.3 years.
Financial economics fans show strongest brand affinity for Massive open online course (78.95×), Derivative (finance) (47.15×), and Master of Business Administration (13.57×) over the country average.
Financial economics fans in United States are most concentrated in California (reach ~90K), New York (reach ~80K), and Texas (reach ~60K). These three regions account for the largest share of the active audience.
Beyond Financial economics itself, the audience over-indexes on Derivative (finance) (47.15×), Master of Business Administration (13.57×), Career development (8.06×), and Data science (13.93×) 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 Financial economics. 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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