A data profile of the people who buy, follow and care about Node.js in United States — modelled from more than twelve digital signal sources. Node.js has an estimated audience of 11,369,526 people in United States.
The average Node.js fan in United States is 36.1 years old, more female, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Business intelligence, Internet security, Massive open online course, with strongest over-indexing on Business intelligence (64.91× the country average).
Demographically, the Node.js audience skews more female with an average age of 36.1, and over-indexes on personality traits such as Need for Security, Convenience Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Node.js fan in United States is more female, around 36.1 years old, with strong Need for Security tendencies and a notable affinity for Business intelligence.
The key figures that characterise the Node.js profile in United States.
56.4% are female, 43.6% are male, average age 36.1.
| Metric | Value |
|---|---|
| Female | 56.4% |
| Male | 43.6% |
| Average age | 36.1 |
| Estimated audience size | 11,369,526 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 31% | |
| 20-29 | 20% | |
| 30-39 | 15% | |
| 40-49 | 15% | |
| 50+ | 19% |
Where the Node.js audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Virginia | ~600K | 2.07× | |
| 02 | California | ~2.5M | 1.87× | |
| 03 | Washington | ~400K | 1.86× | |
| 04 | Utah | ~200K | 1.49× | |
| 05 | Washington, District of Columbia | ~50K | 1.49× | |
| 06 | Massachusetts | ~300K | 1.39× | |
| 07 | Oregon | ~200K | 1.36× | |
| 08 | New Jersey | ~400K | 1.32× | |
| 09 | New York | ~800K | 1.27× | |
| 10 | Maryland | ~200K | 1.25× | |
| 11 | Georgia | ~400K | 1.21× | |
| 12 | Texas | ~1M | 1.20× | |
| 13 | Illinois | ~500K | 1.19× | |
| 14 | Colorado | ~200K | 1.17× | |
| 15 | Iowa | ~100K | 1.07× | |
| 16 | North Carolina | ~300K | 1.02× | |
| 17 | Missouri | ~200K | 1.01× | |
| 18 | Connecticut | ~100K | 1.01× | |
| 19 | Florida | ~800K | 1.00× | |
| 20 | New Hampshire | ~40K | 1.00× | |
| 21 | Wyoming | ~20K | 1.00× | |
| 22 | Kansas | ~90K | 0.99× | |
| 23 | Michigan | ~300K | 0.98× | |
| 24 | Arizona | ~200K | 0.97× | |
| 25 | Idaho | ~60K | 0.97× | |
| 26 | Rhode Island | ~40K | 0.97× | |
| 27 | Pennsylvania | ~400K | 0.96× | |
| 28 | Minnesota | ~200K | 0.96× | |
| 29 | Ohio | ~300K | 0.92× | |
| 30 | Delaware | ~30K | 0.90× | |
| 31 | Arkansas | ~80K | 0.89× | |
| 32 | Wisconsin | ~200K | 0.88× | |
| 33 | Tennessee | ~200K | 0.87× | |
| 34 | Nevada | ~100K | 0.87× | |
| 35 | Nebraska | ~50K | 0.86× | |
| 36 | Indiana | ~200K | 0.85× | |
| 37 | Oklahoma | ~100K | 0.82× | |
| 38 | South Carolina | ~100K | 0.80× | |
| 39 | Mississippi | ~70K | 0.78× | |
| 40 | Kentucky | ~100K | 0.75× | |
| 41 | Maine | ~30K | 0.74× | |
| 42 | North Dakota | ~20K | 0.74× | |
| 43 | Alabama | ~100K | 0.73× | |
| 44 | Hawaii | ~40K | 0.73× | |
| 45 | Louisiana | ~100K | 0.72× | |
| 46 | South Dakota | ~20K | 0.72× | |
| 47 | Montana | ~20K | 0.71× | |
| 48 | Alaska | ~20K | 0.71× | |
| 49 | New Mexico | ~40K | 0.68× | |
| 50 | West Virginia | ~40K | 0.68× |
The strongest cross-interests of the Node.js audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Internet security | Technology & Electronics | 96.92× | ||
| 02 | Business intelligence | Business & Career | 64.91× | ||
| 03 | Massive open online course | Business & Career | 57.11× | ||
| 04 | Data visualization | Technology & Electronics | 45.76× | ||
| 05 | OPPO | Technology & Electronics | 41.46× | ||
| 06 | Product Hunt | Internet & Social Media | 40.61× | ||
| 07 | Data science | Business & Career | 21.61× | ||
| 08 | Bodrum | Travel & Leisure | 17.13× | ||
| 09 | Amazon Web Services | Technology & Electronics | 16.50× | ||
| 10 | Disneyland Paris | Travel & Leisure | 12.90× | ||
| 11 | Tyler Perry | Movies & TV | 9.27× | ||
| 12 | Computer security | Business & Career | 8.39× | ||
| 13 | Internet & Social Media | 7.95× | |||
| 14 | Business school | Business & Career | 7.95× | ||
| 15 | Web server | Technology & Electronics | 7.26× | ||
| 16 | Innovation | Business & Career | 5.50× | ||
| 17 | Sustainable energy | Home & Garden | 5.38× | ||
| 18 | Career development | Business & Career | 4.95× | ||
| 19 | Mortgage loans | Business & Career | 3.18× | ||
| 20 | Google Drive | Technology & Electronics | 3.15× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Need for Security | CONSERVATISM | 8.82× | |
| Convenience Orientation | PREMIUM | 2.37× | |
| Career Orientation | POWER | 2.28× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Creativity | OPEN | 0.67× | |
| DIY Mentality | THRILL | 0.67× | |
| Healthy Lifestyle | BALANCE | 0.84× |
Node.js has an estimated audience of 11,369,526 people in United States, concentrated in California and Texas.
56.4% of Node.js fans are female, 43.6% are male, with an average age of 36.1 years.
Node.js fans show strongest brand affinity for Business intelligence (64.91×), Internet security (96.92×), and Massive open online course (57.11×) over the country average.
Node.js fans in United States are most concentrated in California (reach ~2.5M), Texas (reach ~1M), and New York (reach ~800K). These three regions account for the largest share of the active audience.
Beyond Node.js itself, the audience over-indexes on Internet security (96.92×), Massive open online course (57.11×), Data visualization (45.76×), and Data science (21.61×) 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 Node.js. 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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