Big data Audience in United States

Big data has an estimated audience of 8,695,900 people in United States. 45.6% are female, 54.4% are male, average age 37.6. Top regions: California, Texas, New York. Top brand affinities: John Moreland, Aaron Lee Tasjan, Parker Millsap, Ruston Kelly, Carson McHone.
The average Big data fan in United States is 37.6 years old, balanced, and lives primarily in California. The audience is concentrated in California, Texas, New York. Top brand affinities include John Moreland, Aaron Lee Tasjan, Parker Millsap, with strongest over-indexing on John Moreland (814.99× the country average). Demographically, the Big data audience skews balanced with an average age of 37.6, and over-indexes on personality traits such as Risk Appetite, Need for Security. Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
Category: Business & Career · Type: Topic · Subtype: Field of study
Demographics of Big data fans
| Metric | Value |
|---|---|
| Female | 45.6% |
| Male | 54.4% |
| Average age | 37.6 |
| Estimated audience size | 8,695,900 |
Audience persona
The typical Big data fan in United States is balanced, around 37.6 years old, with strong Risk Appetite tendencies and a notable affinity for John Moreland.
Top regions in United States
| Region | Reach | Affinity |
|---|---|---|
| California | 1,364,366 | 1.43× |
| Texas | 917,969 | 1.23× |
| New York | 793,574 | 1.63× |
| Florida | 599,453 | 1.02× |
| Illinois | 378,079 | 1.31× |
| Virginia | 353,425 | 1.67× |
| Georgia | 344,865 | 1.29× |
| Pennsylvania | 318,701 | 1.09× |
| New Jersey | 290,201 | 1.31× |
| Massachusetts | 286,308 | 1.67× |
| North Carolina | 284,243 | 1.09× |
| Ohio | 254,847 | 0.95× |
| Maryland | 241,627 | 1.62× |
| Michigan | 230,342 | 1.01× |
| Washington | 226,615 | 1.3× |
| Arizona | 186,258 | 1.05× |
| Indiana | 164,310 | 1.03× |
| Colorado | 151,818 | 1.11× |
| Missouri | 140,619 | 1× |
| Tennessee | 135,775 | 0.78× |
| Wisconsin | 116,006 | 0.89× |
| Minnesota | 115,897 | 0.93× |
| South Carolina | 112,806 | 0.86× |
| Alabama | 112,174 | 0.92× |
| Oregon | 99,295 | 1× |
| Connecticut | 95,023 | 1.09× |
| Kansas | 86,265 | 1.26× |
| Louisiana | 81,747 | 0.73× |
| Kentucky | 81,622 | 0.75× |
| Oklahoma | 67,175 | 0.7× |
| Washington, District of Columbia | 64,163 | 2.45× |
| Utah | 62,727 | 0.81× |
| Arkansas | 62,182 | 0.87× |
| Mississippi | 61,374 | 0.86× |
| Nevada | 59,117 | 0.7× |
| Iowa | 55,258 | 0.77× |
| Nebraska | 32,387 | 0.74× |
| New Hampshire | 31,256 | 0.91× |
| Hawaii | 30,443 | 0.81× |
| Idaho | 27,017 | 0.62× |
| West Virginia | 26,639 | 0.66× |
| New Mexico | 25,892 | 0.59× |
| Rhode Island | 25,069 | 0.91× |
| Delaware | 23,304 | 0.97× |
| Maine | 22,675 | 0.73× |
| Vermont | 14,394 | 0.94× |
| Montana | 12,768 | 0.53× |
| North Dakota | 12,556 | 0.7× |
| South Dakota | 11,959 | 0.59× |
| Alaska | 9,742 | 0.52× |
Top brand affinities
Brands and entities this audience over-indexes on, vs. the country average.
| Brand | Affinity | Category |
|---|---|---|
| John Moreland | 814.99× | Music & Radio |
| Aaron Lee Tasjan | 338.54× | Music & Radio |
| Parker Millsap | 233.17× | Music & Radio |
| Ruston Kelly | 86.31× | Music & Radio |
| Carson McHone | 421.23× | Music & Radio |
| Night Club | 10.34× | Music & Radio |
| Robert Ellis | 78.49× | Music & Radio |
| American Aquarium | 64.61× | Music & Radio |
| Google Docs | 2.09× | Internet & Social Media |
| Data analysis | 5.42× | Technology & Electronics |
| PHP | 3.29× | Technology & Electronics |
| Programming language | 3.07× | Technology & Electronics |
| Machine learning | 5.13× | Business & Career |
| SQL | 6.59× | Technology & Electronics |
| Indeed.com | 1.76× | Business & Career |
| Artificial intelligence | 1.99× | Technology & Electronics |
| Data science | 4.76× | Business & Career |
| Computer programming | 2.94× | Technology & Electronics |
| Gemini | 2.07× | Technology & Electronics |
| Business analytics | 6.7× | Technology & Electronics |
Psychographic profile
Top six personality traits over-indexed by this audience (1.0 = country average).
| Trait | Cluster | Score |
|---|---|---|
| Risk Appetite | THRILL | 2.38 |
| Need for Security | CONSERVATISM | 1.98 |
| Luxury Orientation | PREMIUM | 1.67 |
| Patriotism | CONSERVATISM | 1.46 |
| Quality Awareness | PREMIUM | 1.46 |
| Career Orientation | POWER | 1.43 |
Worldwide distribution
| Country | Share |
|---|---|
| United States | 20.1% |
| India | 9.5% |
| Japan | 4.6% |
See Big data audiences in other countries
More Field of study audiences in United States
- Music (181,108,961)
- Politics and social issues (139,815,487)
- Education (104,984,855)
- Medicine (89,907,855)
- Psychology (89,088,191)
Frequently asked questions
How many fans does Big data have in United States?
Big data has an estimated audience of 8,695,900 people in United States, concentrated in California and Texas.
What is the gender split and age of Big data fans?
45.6% of Big data fans are female, 54.4% are male, with an average age of 37.6 years.
Which brands do Big data fans like most?
Big data fans show strongest brand affinity for John Moreland (814.99×), Aaron Lee Tasjan (338.54×), and Parker Millsap (233.17×) over the country average.
Where do Big data fans live in United States?
Big data fans in United States are most concentrated in California (reach 1,364,366), Texas (reach 917,969), and New York (reach 793,574). These three regions account for the largest share of the active audience.
What other brands do Big data fans also like?
Beyond Big data itself, the audience over-indexes on Aaron Lee Tasjan (338.54×), Parker Millsap (233.17×), Ruston Kelly (86.31×), and Carson McHone (421.23×) compared to the United States average.
How to read this data
Audience size is the estimated number of people in United States who actively search for Big data. 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.
About this audience profile
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.