A data profile of the people who buy, follow and care about Data visualization in United States — modelled from more than twelve digital signal sources. Data visualization has an estimated audience of 1,893,065 people in United States.
The average Data visualization fan in United States is 35.6 years old, more male, and lives primarily in California.
The audience is concentrated in California, New York, Texas.
Top brand affinities include Business analysis, Predictive analytics, Business intelligence, with strongest over-indexing on Business analysis (229.51× the country average).
Demographically, the Data visualization audience skews more male with an average age of 35.6, 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 visualization fan in United States is more male, around 35.6 years old, with strong Need for Security tendencies and a notable affinity for Business analysis.
The key figures that characterise the Data visualization profile in United States.
39.7% are female, 60.3% are male, average age 35.6.
| Metric | Value |
|---|---|
| Female | 39.7% |
| Male | 60.3% |
| Average age | 35.6 |
| Estimated audience size | 1,893,065 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 25% | |
| 20-29 | 25% | |
| 30-39 | 21% | |
| 40-49 | 17% | |
| 50+ | 12% |
of the worldwide Data visualization audience comes from United States.
| Country | Share |
|---|---|
| United States | 17.0% |
| India | 10.9% |
| United Kingdom | 4.3% |
Where the Data visualization audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~20K | 2.65× | |
| 02 | Massachusetts | ~70K | 1.81× | |
| 03 | Washington | ~60K | 1.66× | |
| 04 | New York | ~200K | 1.64× | |
| 05 | Virginia | ~70K | 1.60× | |
| 06 | Maryland | ~50K | 1.52× | |
| 07 | Rhode Island | ~9K | 1.42× | |
| 08 | California | ~300K | 1.22× | |
| 09 | Georgia | ~70K | 1.16× | |
| 10 | New Jersey | ~60K | 1.16× | |
| 11 | Connecticut | ~20K | 1.16× | |
| 12 | Illinois | ~70K | 1.15× | |
| 13 | Oregon | ~20K | 1.14× | |
| 14 | North Carolina | ~60K | 1.13× | |
| 15 | Indiana | ~40K | 1.10× | |
| 16 | Vermont | ~4K | 1.10× | |
| 17 | Pennsylvania | ~70K | 1.08× | |
| 18 | Colorado | ~30K | 1.06× | |
| 19 | Missouri | ~30K | 1.02× | |
| 20 | Utah | ~20K | 1.02× | |
| 21 | Minnesota | ~30K | 0.98× | |
| 22 | New Hampshire | ~7K | 0.98× | |
| 23 | Maine | ~7K | 0.98× | |
| 24 | South Carolina | ~30K | 0.97× | |
| 25 | Texas | ~200K | 0.96× | |
| 26 | Arizona | ~40K | 0.94× | |
| 27 | Wisconsin | ~30K | 0.91× | |
| 28 | Hawaii | ~7K | 0.91× | |
| 29 | Alaska | ~4K | 0.91× | |
| 30 | North Dakota | ~4K | 0.91× | |
| 31 | Michigan | ~40K | 0.90× | |
| 32 | Ohio | ~50K | 0.89× | |
| 33 | Delaware | ~5K | 0.89× | |
| 34 | Kansas | ~10K | 0.88× | |
| 35 | Nebraska | ~8K | 0.88× | |
| 36 | South Dakota | ~4K | 0.87× | |
| 37 | Arkansas | ~10K | 0.86× | |
| 38 | New Mexico | ~8K | 0.86× | |
| 39 | Montana | ~5K | 0.86× | |
| 40 | Iowa | ~10K | 0.84× | |
| 41 | Tennessee | ~30K | 0.83× | |
| 42 | Nevada | ~20K | 0.83× | |
| 43 | Idaho | ~8K | 0.83× | |
| 44 | West Virginia | ~7K | 0.80× | |
| 45 | Mississippi | ~10K | 0.79× | |
| 46 | Alabama | ~20K | 0.76× | |
| 47 | Oklahoma | ~20K | 0.74× | |
| 48 | Florida | ~90K | 0.73× | |
| 49 | Kentucky | ~20K | 0.73× | |
| 50 | Louisiana | ~20K | 0.71× |
The strongest cross-interests of the Data visualization audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Business analysis | Business & Career | 229.51× | ||
| 02 | R (programming language) | Technology & Electronics | 225.41× | ||
| 03 | Predictive analytics | Technology & Electronics | 200.43× | ||
| 04 | Business intelligence | Business & Career | 116.37× | ||
| 05 | Web application development | Technology & Electronics | 111.35× | ||
| 06 | NoSQL | Technology & Electronics | 91.19× | ||
| 07 | Data mining | Technology & Electronics | 69.77× | ||
| 08 | C Sharp (programming language) | Technology & Electronics | 61.68× | ||
| 09 | Mobile application development | Technology & Electronics | 53.43× | ||
| 10 | Business analytics | Technology & Electronics | 45.97× | ||
| 11 | Node.js | Technology & Electronics | 45.76× | ||
| 12 | SQL | Technology & Electronics | 41.58× | ||
| 13 | C (programming language) | Technology & Electronics | 40.06× | ||
| 14 | Stack Overflow | Technology & Electronics | 32.13× | ||
| 15 | ElevenLabs | Technology & Electronics | 30.37× | ||
| 16 | Data management | Technology & Electronics | 28.46× | ||
| 17 | Data analysis | Technology & Electronics | 26.23× | ||
| 18 | Money (magazine) | Business & Career | 22.45× | ||
| 19 | Gemini | Technology & Electronics | 22.18× | ||
| 20 | Grok | Technology & Electronics | 15.64× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 4.84× | |
| Career Orientation | POWER | 2.36× | |
| Sustainability | BALANCE | 1.54× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.52× | |
| DIY Mentality | THRILL | 0.59× | |
| Family Orientation | CONSERVATISM | 0.67× |
Data visualization has an estimated audience of 1,893,065 people in United States, concentrated in California and New York.
39.7% of Data visualization fans are female, 60.3% are male, with an average age of 35.6 years.
Data visualization fans show strongest brand affinity for Business analysis (229.51×), Predictive analytics (200.43×), and Business intelligence (116.37×) over the country average.
Data visualization fans in United States are most concentrated in California (reach ~300K), New York (reach ~200K), and Texas (reach ~200K). These three regions account for the largest share of the active audience.
Beyond Data visualization itself, the audience over-indexes on Predictive analytics (200.43×), Business intelligence (116.37×), Node.js (45.76×), and R (programming language) (225.41×) 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 visualization. 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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