A data profile of the people who buy, follow and care about Internet security in United States — modelled from more than twelve digital signal sources. Internet security has an estimated audience of 850,466 people in United States.
The average Internet security fan in United States is 37.1 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Node.js, Web application development, Network security, with strongest over-indexing on Node.js (96.92× the country average).
Demographically, the Internet security audience skews more male with an average age of 37.1, and over-indexes on personality traits such as Need for Security, Patriotism.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Internet security fan in United States is more male, around 37.1 years old, with strong Need for Security tendencies and a notable affinity for Node.js.
The key figures that characterise the Internet security profile in United States.
38.8% are female, 61.2% are male, average age 37.1.
| Metric | Value |
|---|---|
| Female | 38.8% |
| Male | 61.2% |
| Average age | 37.1 |
| Estimated audience size | 850,466 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 31% | |
| 20-29 | 16% | |
| 30-39 | 15% | |
| 40-49 | 18% | |
| 50+ | 20% |
of the worldwide Internet security audience comes from United States.
| Country | Share |
|---|---|
| United States | 17.9% |
| United Kingdom | 6.8% |
| Germany | 5.4% |
Where the Internet security audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Alaska | ~2K | 1.18× | |
| 02 | North Dakota | ~2K | 1.16× | |
| 03 | Vermont | ~2K | 1.16× | |
| 04 | New York | ~50K | 1.12× | |
| 05 | South Dakota | ~2K | 1.10× | |
| 06 | Oklahoma | ~10K | 1.08× | |
| 07 | Oregon | ~10K | 1.07× | |
| 08 | Montana | ~3K | 1.06× | |
| 09 | Georgia | ~30K | 1.05× | |
| 10 | Virginia | ~20K | 1.05× | |
| 11 | Idaho | ~4K | 1.02× | |
| 12 | Rhode Island | ~3K | 1.02× | |
| 13 | Illinois | ~30K | 1.01× | |
| 14 | Nebraska | ~4K | 1.01× | |
| 15 | Delaware | ~2K | 1.01× | |
| 16 | Washington | ~20K | 1.00× | |
| 17 | Hawaii | ~4K | 1.00× | |
| 18 | Maine | ~3K | 1.00× | |
| 19 | Kentucky | ~10K | 0.99× | |
| 20 | Kansas | ~7K | 0.99× | |
| 21 | West Virginia | ~4K | 0.99× | |
| 22 | Colorado | ~10K | 0.98× | |
| 23 | New Mexico | ~4K | 0.98× | |
| 24 | New Hampshire | ~3K | 0.98× | |
| 25 | Tennessee | ~20K | 0.97× | |
| 26 | Nevada | ~8K | 0.97× | |
| 27 | Indiana | ~10K | 0.96× | |
| 28 | Washington, District of Columbia | ~2K | 0.96× | |
| 29 | North Carolina | ~20K | 0.95× | |
| 30 | Alabama | ~10K | 0.95× | |
| 31 | Utah | ~7K | 0.95× | |
| 32 | Arkansas | ~7K | 0.95× | |
| 33 | Missouri | ~10K | 0.94× | |
| 34 | Mississippi | ~7K | 0.94× | |
| 35 | Iowa | ~7K | 0.94× | |
| 36 | Ohio | ~20K | 0.92× | |
| 37 | Maryland | ~10K | 0.92× | |
| 38 | Louisiana | ~10K | 0.92× | |
| 39 | Connecticut | ~8K | 0.92× | |
| 40 | Arizona | ~20K | 0.91× | |
| 41 | South Carolina | ~10K | 0.91× | |
| 42 | Minnesota | ~10K | 0.91× | |
| 43 | Michigan | ~20K | 0.90× | |
| 44 | New Jersey | ~20K | 0.89× | |
| 45 | Wisconsin | ~10K | 0.89× | |
| 46 | California | ~80K | 0.88× | |
| 47 | Texas | ~60K | 0.88× | |
| 48 | Pennsylvania | ~20K | 0.87× | |
| 49 | Florida | ~50K | 0.86× | |
| 50 | Massachusetts | ~10K | 0.84× |
The strongest cross-interests of the Internet security audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Relational database management system | Technology & Electronics | 175.00× | ||
| 02 | Web application development | Technology & Electronics | 169.81× | ||
| 03 | Software development process | Technology & Electronics | 162.83× | ||
| 04 | Ruby on Rails | Technology & Electronics | 159.39× | ||
| 05 | Software engineer | Technology & Electronics | 158.33× | ||
| 06 | Network security | Business & Career | 155.78× | ||
| 07 | R (programming language) | Technology & Electronics | 139.41× | ||
| 08 | NoSQL | Technology & Electronics | 131.87× | ||
| 09 | Mobile application development | Technology & Electronics | 111.32× | ||
| 10 | Node.js | Technology & Electronics | 96.92× | ||
| 11 | C Sharp (programming language) | Technology & Electronics | 95.18× | ||
| 12 | Predictive analytics | Technology & Electronics | 76.41× | ||
| 13 | HTML5 | Technology & Electronics | 70.02× | ||
| 14 | C (programming language) | Technology & Electronics | 56.90× | ||
| 15 | Data security | Business & Career | 53.59× | ||
| 16 | Stack Overflow | Technology & Electronics | 45.94× | ||
| 17 | MySQL | Technology & Electronics | 32.64× | ||
| 18 | C++ | Technology & Electronics | 23.90× | ||
| 19 | Gemini | Technology & Electronics | 23.01× | ||
| 20 | Grok | Technology & Electronics | 15.80× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 18.31× | |
| Patriotism | CONSERVATISM | 2.43× | |
| Career Orientation | POWER | 1.94× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.70× | |
| Extroversion | THRILL | 0.72× | |
| Creativity | OPEN | 0.76× |
Internet security has an estimated audience of 850,466 people in United States, concentrated in California and Texas.
38.8% of Internet security fans are female, 61.2% are male, with an average age of 37.1 years.
Internet security fans show strongest brand affinity for Node.js (96.92×), Web application development (169.81×), and Network security (155.78×) over the country average.
Internet security fans in United States are most concentrated in California (reach ~80K), Texas (reach ~60K), and New York (reach ~50K). These three regions account for the largest share of the active audience.
Beyond Internet security itself, the audience over-indexes on Web application development (169.81×), Network security (155.78×), C (programming language) (56.9×), and C Sharp (programming language) (95.18×) 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 Internet security. 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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