A data profile of the people who buy, follow and care about Data science in United States — modelled from more than twelve digital signal sources. Data science has an estimated audience of 5,676,089 people in United States.
The average Data science fan in United States is 37.9 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Virginia.
Top brand affinities include SQL, Data analysis, Gemini, with strongest over-indexing on SQL (42.86× the country average).
Demographically, the Data science audience skews more male with an average age of 37.9, 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 Data science fan in United States is more male, around 37.9 years old, with strong Career Orientation tendencies and a notable affinity for SQL.
The key figures that characterise the Data science profile in United States.
43.2% are female, 56.8% are male, average age 37.9.
| Metric | Value |
|---|---|
| Female | 43.2% |
| Male | 56.8% |
| Average age | 37.9 |
| Estimated audience size | 5,676,089 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 22% | |
| 20-29 | 20% | |
| 30-39 | 20% | |
| 40-49 | 19% | |
| 50+ | 17% |
of the worldwide Data science audience comes from United States.
| Country | Share |
|---|---|
| United States | 20.9% |
| India | 12.2% |
| United Kingdom | 4.7% |
Where the Data science audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Virginia | ~600K | 4.65× | |
| 02 | Kansas | ~200K | 4.21× | |
| 03 | Washington, District of Columbia | ~30K | 2.04× | |
| 04 | Louisiana | ~100K | 1.60× | |
| 05 | Texas | ~800K | 1.57× | |
| 06 | New York | ~500K | 1.46× | |
| 07 | Florida | ~500K | 1.40× | |
| 08 | Arkansas | ~70K | 1.39× | |
| 09 | California | ~800K | 1.33× | |
| 10 | Oklahoma | ~80K | 1.31× | |
| 11 | New Mexico | ~40K | 1.24× | |
| 12 | Maryland | ~100K | 1.21× | |
| 13 | Colorado | ~100K | 1.18× | |
| 14 | Massachusetts | ~100K | 1.08× | |
| 15 | New Jersey | ~200K | 1.04× | |
| 16 | Mississippi | ~50K | 1.00× | |
| 17 | Georgia | ~200K | 0.96× | |
| 18 | Washington | ~100K | 0.95× | |
| 19 | North Carolina | ~200K | 0.94× | |
| 20 | Wyoming | ~7K | 0.88× | |
| 21 | Illinois | ~200K | 0.87× | |
| 22 | South Carolina | ~70K | 0.87× | |
| 23 | Tennessee | ~100K | 0.86× | |
| 24 | Connecticut | ~50K | 0.86× | |
| 25 | Nevada | ~50K | 0.86× | |
| 26 | Pennsylvania | ~200K | 0.83× | |
| 27 | Arizona | ~90K | 0.81× | |
| 28 | Oregon | ~50K | 0.81× | |
| 29 | Alabama | ~60K | 0.77× | |
| 30 | Hawaii | ~20K | 0.77× | |
| 31 | Rhode Island | ~10K | 0.76× | |
| 32 | Minnesota | ~60K | 0.75× | |
| 33 | Michigan | ~100K | 0.72× | |
| 34 | Idaho | ~20K | 0.72× | |
| 35 | Delaware | ~10K | 0.72× | |
| 36 | Ohio | ~100K | 0.71× | |
| 37 | Utah | ~40K | 0.71× | |
| 38 | Missouri | ~60K | 0.70× | |
| 39 | North Dakota | ~8K | 0.70× | |
| 40 | Alaska | ~8K | 0.68× | |
| 41 | Indiana | ~70K | 0.67× | |
| 42 | South Dakota | ~9K | 0.67× | |
| 43 | Iowa | ~30K | 0.66× | |
| 44 | Nebraska | ~20K | 0.65× | |
| 45 | New Hampshire | ~10K | 0.64× | |
| 46 | Kentucky | ~40K | 0.63× | |
| 47 | West Virginia | ~20K | 0.63× | |
| 48 | Wisconsin | ~50K | 0.62× | |
| 49 | Montana | ~9K | 0.58× | |
| 50 | Maine | ~10K | 0.56× |
The strongest cross-interests of the Data science audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Apache Hadoop | Technology & Electronics | 57.12× | ||
| 02 | SQL | Technology & Electronics | 42.86× | ||
| 03 | Data visualization | Technology & Electronics | 42.74× | ||
| 04 | Stack Overflow | Technology & Electronics | 35.80× | ||
| 05 | Business analysis | Business & Career | 34.29× | ||
| 06 | AngularJS | Technology & Electronics | 30.68× | ||
| 07 | Data analysis | Technology & Electronics | 30.15× | ||
| 08 | Business analytics | Technology & Electronics | 29.52× | ||
| 09 | Yandex | Technology & Electronics | 29.17× | ||
| 10 | Predictive analytics | Technology & Electronics | 28.57× | ||
| 11 | Node.js | Technology & Electronics | 21.61× | ||
| 12 | Business intelligence | Business & Career | 18.22× | ||
| 13 | Gemini | Technology & Electronics | 14.14× | ||
| 14 | MySQL | Technology & Electronics | 13.58× | ||
| 15 | GitHub | Internet & Social Media | 13.05× | ||
| 16 | Microsoft Copilot | Technology & Electronics | 13.01× | ||
| 17 | Chat GPT | Technology & Electronics | 8.21× | ||
| 18 | Take-out | Food & Beverages | 6.75× | ||
| 19 | Grok | Technology & Electronics | 6.56× | ||
| 20 | Google Docs | Internet & Social Media | 5.71× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 3.11× | |
| Need for Security | CONSERVATISM | 2.70× | |
| Early Adopter Mentality | POWER | 2.01× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.65× | |
| Creativity | OPEN | 0.85× | |
| DIY Mentality | THRILL | 0.86× |
Data science has an estimated audience of 5,676,089 people in United States, concentrated in California and Texas.
43.2% of Data science fans are female, 56.8% are male, with an average age of 37.9 years.
Data science fans show strongest brand affinity for SQL (42.86×), Data analysis (30.15×), and Gemini (14.14×) over the country average.
Data science fans in United States are most concentrated in California (reach ~800K), Texas (reach ~800K), and Virginia (reach ~600K). These three regions account for the largest share of the active audience.
Beyond Data science itself, the audience over-indexes on Data analysis (30.15×), Gemini (14.14×), Node.js (21.61×), and Stack Overflow (35.8×) 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 science. 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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