A data profile of the people who buy, follow and care about C++ in United States — modelled from more than twelve digital signal sources. C++ has an estimated audience of 13,510,898 people in United States.
The average C++ fan in United States is 36.2 years old, balanced, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Nestle Toll House, Music, Sports, with strongest over-indexing on Nestle Toll House (787.17× the country average).
Demographically, the C++ audience skews balanced with an average age of 36.2, and over-indexes on personality traits such as Career Orientation, Urban Lifestyle.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical C++ fan in United States is balanced, around 36.2 years old, with strong Career Orientation tendencies and a notable affinity for Nestle Toll House.
The key figures that characterise the C++ profile in United States.
53.3% are female, 46.7% are male, average age 36.2.
| Metric | Value |
|---|---|
| Female | 53.3% |
| Male | 46.7% |
| Average age | 36.2 |
| Estimated audience size | 13,510,898 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 30% | |
| 20-29 | 20% | |
| 30-39 | 16% | |
| 40-49 | 16% | |
| 50+ | 18% |
of the worldwide C++ audience comes from United States.
| Country | Share |
|---|---|
| United States | 22.3% |
| China | 5.3% |
| India | 5.1% |
Where the C++ audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | California | ~2.5M | 1.67× | |
| 02 | Washington | ~400K | 1.40× | |
| 03 | Texas | ~1.5M | 1.36× | |
| 04 | Virginia | ~400K | 1.35× | |
| 05 | Maryland | ~300K | 1.32× | |
| 06 | Massachusetts | ~300K | 1.27× | |
| 07 | New York | ~900K | 1.23× | |
| 08 | Utah | ~100K | 1.22× | |
| 09 | Oregon | ~200K | 1.19× | |
| 10 | Alabama | ~200K | 1.16× | |
| 11 | New Jersey | ~400K | 1.14× | |
| 12 | Colorado | ~200K | 1.09× | |
| 13 | Oklahoma | ~200K | 1.08× | |
| 14 | Illinois | ~500K | 1.07× | |
| 15 | Kansas | ~100K | 1.06× | |
| 16 | Indiana | ~300K | 1.05× | |
| 17 | Arkansas | ~100K | 1.05× | |
| 18 | Michigan | ~400K | 1.04× | |
| 19 | Georgia | ~400K | 1.03× | |
| 20 | New Hampshire | ~50K | 1.03× | |
| 21 | Arizona | ~300K | 1.02× | |
| 22 | Pennsylvania | ~400K | 0.99× | |
| 23 | Missouri | ~200K | 0.99× | |
| 24 | North Carolina | ~400K | 0.98× | |
| 25 | Idaho | ~70K | 0.97× | |
| 26 | Nevada | ~100K | 0.96× | |
| 27 | Iowa | ~100K | 0.95× | |
| 28 | Vermont | ~20K | 0.95× | |
| 29 | New Mexico | ~60K | 0.94× | |
| 30 | Rhode Island | ~40K | 0.94× | |
| 31 | North Dakota | ~30K | 0.93× | |
| 32 | Florida | ~800K | 0.92× | |
| 33 | Alaska | ~30K | 0.92× | |
| 34 | Tennessee | ~200K | 0.91× | |
| 35 | Mississippi | ~100K | 0.91× | |
| 36 | Hawaii | ~50K | 0.91× | |
| 37 | South Dakota | ~30K | 0.91× | |
| 38 | Ohio | ~400K | 0.90× | |
| 39 | Minnesota | ~200K | 0.90× | |
| 40 | Kentucky | ~200K | 0.90× | |
| 41 | Connecticut | ~100K | 0.90× | |
| 42 | Wisconsin | ~200K | 0.89× | |
| 43 | Washington, District of Columbia | ~40K | 0.89× | |
| 44 | West Virginia | ~60K | 0.88× | |
| 45 | Louisiana | ~200K | 0.87× | |
| 46 | Maine | ~40K | 0.87× | |
| 47 | South Carolina | ~200K | 0.86× | |
| 48 | Montana | ~30K | 0.85× | |
| 49 | Delaware | ~30K | 0.85× | |
| 50 | Nebraska | ~60K | 0.84× |
The strongest cross-interests of the C++ audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Nestle Toll House | Food & Beverages | 787.17× | ||
| 02 | Cascading Style Sheets | Internet & Social Media | 8.04× | ||
| 03 | C (programming language) | Technology & Electronics | 6.86× | ||
| 04 | Node.js | Technology & Electronics | 4.55× | ||
| 05 | Software development | Business & Career | 4.22× | ||
| 06 | Software engineering | Business & Career | 3.78× | ||
| 07 | San Jose, California | Travel & Leisure | 3.65× | ||
| 08 | Energy | Home & Garden | 2.14× | ||
| 09 | College football | Sports | 2.06× | ||
| 10 | Sneakers (footwear) | Fashion & Accessoires | 2.00× | ||
| 11 | Ultimate Fighting Championship | Sports | 1.99× | ||
| 12 | Career | Business & Career | 1.90× | ||
| 13 | Walt Disney World | Travel & Leisure | 1.90× | ||
| 14 | Popular music | Music & Radio | 1.88× | ||
| 15 | EBay | Shopping | 1.83× | ||
| 16 | Wildlife | Travel & Leisure | 1.83× | ||
| 17 | Technology | Technology & Electronics | 1.56× | ||
| 18 | Sports | Sports | 1.54× | ||
| 19 | Music | Business & Career | 1.53× | ||
| 20 | Entertainment | Movies & TV | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Career Orientation | POWER | 1.27× | |
| Urban Lifestyle | OPEN | 1.17× | |
| Individualism | JOY | 1.15× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Quality Awareness | PREMIUM | 0.61× | |
| Social Media Usage | JOY | 0.68× | |
| Risk Appetite | THRILL | 0.76× |
C++ has an estimated audience of 13,510,898 people in United States, concentrated in California and Texas.
53.3% of C++ fans are female, 46.7% are male, with an average age of 36.2 years.
C++ fans show strongest brand affinity for Nestle Toll House (787.17×), Music (1.53×), and Sports (1.54×) over the country average.
C++ fans in United States are most concentrated in California (reach ~2.5M), Texas (reach ~1.5M), and New York (reach ~900K). These three regions account for the largest share of the active audience.
Beyond C++ itself, the audience over-indexes on Music (1.53×), Sports (1.54×), C (programming language) (6.86×), and Entertainment (1.51×) 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 C++. 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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