A data profile of the people who buy, follow and care about Law School Admission Council in United States — modelled from more than twelve digital signal sources. Law School Admission Council has an estimated audience of 561,153 people in United States.
Law School Admission Council has an estimated audience of 561,153 people in United States. 67.8% are female, 32.2% are male, average age 35.5. Top brand affinities: Stanford University, Amtrak, Blondie (band), Law firm, Florida Lottery.
Top brand affinities include Stanford University, Amtrak, Blondie (band), with strongest over-indexing on Stanford University (40.95× the country average).
Demographically, the Law School Admission Council audience skews more female with an average age of 35.5, and over-indexes on personality traits such as Career Orientation, Need for Security.
The typical Law School Admission Council fan in United States is more female, around 35.5 years old, with strong Career Orientation tendencies and a notable affinity for Stanford University.
The key figures that characterise the Law School Admission Council profile in United States.
67.8% are female, 32.2% are male, average age 35.5.
| Metric | Value |
|---|---|
| Female | 67.8% |
| Male | 32.2% |
| Average age | 35.5 |
| Estimated audience size | 561,153 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 30% | |
| 20-29 | 20% | |
| 30-39 | 19% | |
| 40-49 | 19% | |
| 50+ | 12% |
of the worldwide Law School Admission Council audience comes from United States.
| Country | Share |
|---|---|
| United States | 94.7% |
| Germany | 3.4% |
| United Kingdom | 1.2% |
The strongest cross-interests of the Law School Admission Council audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Stanford University | Business & Career | 40.95× | ||
| 02 | Hoosier Lottery | Games | 24.09× | ||
| 03 | Blondie (band) | Music & Radio | 16.39× | ||
| 04 | Law school | Business & Career | 16.09× | ||
| 05 | Amazon Web Services | Technology & Electronics | 12.57× | ||
| 06 | AMC Theatres | Movies & TV | 10.91× | ||
| 07 | Amtrak | Cars & Mobility | 7.98× | ||
| 08 | Data science | Business & Career | 7.53× | ||
| 09 | Florida Lottery | Games | 7.43× | ||
| 10 | Law firm | Business & Career | 7.07× | ||
| 11 | Master of Business Administration | Business & Career | 5.35× | ||
| 12 | Innovation | Business & Career | 4.84× | ||
| 13 | Internet & Social Media | 4.37× | |||
| 14 | Cloud computing | Technology & Electronics | 3.25× | ||
| 15 | T-Mobile | Technology & Electronics | 2.74× | ||
| 16 | Nonprofit organization | Politics & Society | 2.13× | ||
| 17 | Banking | Business & Career | 2.07× | ||
| 18 | Insurance | Business & Career | 1.92× | ||
| 19 | Health care | Business & Career | 1.79× | ||
| 20 | Alcoholic beverages | Food & Beverages | 1.62× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 2.05× | |
| Need for Security | CONSERVATISM | 1.77× | |
| Indulgence | JOY | 1.73× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.71× | |
| DIY Mentality | THRILL | 0.76× | |
| Design Affinity | PREMIUM | 0.78× |
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 Law School Admission Council. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.