A data profile of the people who buy, follow and care about Data modeling in United States — modelled from more than twelve digital signal sources. Data modeling has an estimated audience of 862,860 people in United States.
The average Data modeling fan in United States is 42.3 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Business software, Business intelligence, Statistics, with strongest over-indexing on Business software (42.78× the country average).
Demographically, the Data modeling audience skews more male with an average age of 42.3, and over-indexes on personality traits such as Need for Security, Career Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Data modeling fan in United States is more male, around 42.3 years old, with strong Need for Security tendencies and a notable affinity for Business software.
The key figures that characterise the Data modeling profile in United States.
41.3% are female, 58.7% are male, average age 42.3.
| Metric | Value |
|---|---|
| Female | 41.3% |
| Male | 58.7% |
| Average age | 42.3 |
| Estimated audience size | 862,860 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 11% | |
| 20-29 | 19% | |
| 30-39 | 21% | |
| 40-49 | 22% | |
| 50+ | 26% |
of the worldwide Data modeling audience comes from United States.
| Country | Share |
|---|---|
| United States | 23.5% |
| India | 10.4% |
| United Kingdom | 7.8% |
Where the Data modeling audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Virginia | ~40K | 1.96× | |
| 02 | Washington, District of Columbia | ~5K | 1.91× | |
| 03 | Massachusetts | ~30K | 1.82× | |
| 04 | Washington | ~30K | 1.79× | |
| 05 | New York | ~80K | 1.66× | |
| 06 | New Jersey | ~30K | 1.58× | |
| 07 | Illinois | ~40K | 1.43× | |
| 08 | Maryland | ~20K | 1.43× | |
| 09 | California | ~100K | 1.41× | |
| 10 | Texas | ~100K | 1.40× | |
| 11 | Georgia | ~40K | 1.40× | |
| 12 | Colorado | ~20K | 1.24× | |
| 13 | North Carolina | ~30K | 1.22× | |
| 14 | Minnesota | ~10K | 1.15× | |
| 15 | Oregon | ~10K | 1.14× | |
| 16 | Connecticut | ~9K | 1.07× | |
| 17 | Arizona | ~20K | 1.06× | |
| 18 | Pennsylvania | ~30K | 1.03× | |
| 19 | Utah | ~8K | 1.01× | |
| 20 | Ohio | ~30K | 0.99× | |
| 21 | Missouri | ~10K | 0.98× | |
| 22 | Kansas | ~7K | 0.98× | |
| 23 | New Hampshire | ~3K | 0.98× | |
| 24 | Nebraska | ~4K | 0.97× | |
| 25 | Delaware | ~2K | 0.97× | |
| 26 | Rhode Island | ~3K | 0.95× | |
| 27 | Alaska | ~2K | 0.95× | |
| 28 | Vermont | ~1K | 0.95× | |
| 29 | Indiana | ~10K | 0.94× | |
| 30 | North Dakota | ~2K | 0.93× | |
| 31 | Wisconsin | ~10K | 0.92× | |
| 32 | South Dakota | ~2K | 0.92× | |
| 33 | Michigan | ~20K | 0.91× | |
| 34 | Iowa | ~6K | 0.91× | |
| 35 | Arkansas | ~6K | 0.91× | |
| 36 | Montana | ~2K | 0.90× | |
| 37 | Tennessee | ~20K | 0.89× | |
| 38 | Idaho | ~4K | 0.86× | |
| 39 | West Virginia | ~3K | 0.86× | |
| 40 | Hawaii | ~3K | 0.86× | |
| 41 | Maine | ~3K | 0.86× | |
| 42 | Oklahoma | ~8K | 0.85× | |
| 43 | New Mexico | ~4K | 0.83× | |
| 44 | Nevada | ~7K | 0.81× | |
| 45 | Mississippi | ~6K | 0.81× | |
| 46 | Kentucky | ~9K | 0.80× | |
| 47 | Florida | ~50K | 0.79× | |
| 48 | South Carolina | ~10K | 0.76× | |
| 49 | Alabama | ~9K | 0.74× | |
| 50 | Louisiana | ~8K | 0.74× |
The strongest cross-interests of the Data modeling audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | TensorFlow | Technology & Electronics | 83.62× | ||
| 02 | Tableau Software | Business & Career | 82.00× | ||
| 03 | Kaggle | Technology & Electronics | 58.24× | ||
| 04 | Business intelligence | Business & Career | 44.68× | ||
| 05 | Business software | Business & Career | 42.78× | ||
| 06 | Data visualization | Technology & Electronics | 33.80× | ||
| 07 | Amazon Web Services | Technology & Electronics | 33.52× | ||
| 08 | Microsoft Azure | Technology & Electronics | 33.20× | ||
| 09 | Internet security | Technology & Electronics | 33.19× | ||
| 10 | Statistics | Business & Career | 29.19× | ||
| 11 | Data science | Business & Career | 28.87× | ||
| 12 | Massive open online course | Business & Career | 20.00× | ||
| 13 | Information security | Business & Career | 13.02× | ||
| 14 | Computer security | Business & Career | 10.99× | ||
| 15 | Innovation | Business & Career | 7.63× | ||
| 16 | Web server | Technology & Electronics | 6.34× | ||
| 17 | Master of Business Administration | Business & Career | 5.59× | ||
| 18 | Internet & Social Media | 5.55× | |||
| 19 | Cloud computing | Technology & Electronics | 5.03× | ||
| 20 | Internet & Social Media | 2.69× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 8.76× | |
| Career Orientation | POWER | 2.54× | |
| Patriotism | CONSERVATISM | 1.86× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.76× | |
| Extroversion | THRILL | 0.76× | |
| DIY Mentality | THRILL | 0.87× |
Data modeling has an estimated audience of 862,860 people in United States, concentrated in California and Texas.
41.3% of Data modeling fans are female, 58.7% are male, with an average age of 42.3 years.
Data modeling fans show strongest brand affinity for Business software (42.78×), Business intelligence (44.68×), and Statistics (29.19×) over the country average.
Data modeling fans in United States are most concentrated in California (reach ~100K), Texas (reach ~100K), and New York (reach ~80K). These three regions account for the largest share of the active audience.
Beyond Data modeling itself, the audience over-indexes on Business intelligence (44.68×), Statistics (29.19×), Data science (28.87×), and Amazon Web Services (33.52×) 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 Data modeling. 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.