A data profile of the people who buy, follow and care about CodeChef in United States — modelled from more than twelve digital signal sources. CodeChef has an estimated audience of 424,374 people in United States.
The average CodeChef fan in United States is 31.0 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, New York.
Top brand affinities include Massive open online course, Amazon Web Services, Data science, with strongest over-indexing on Massive open online course (97.25× the country average).
Demographically, the CodeChef audience skews more male with an average age of 31.0, and over-indexes on personality traits such as Early Adopter Mentality, 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 CodeChef fan in United States is more male, around 31.0 years old, with strong Early Adopter Mentality tendencies and a notable affinity for Massive open online course.
The key figures that characterise the CodeChef profile in United States.
37.3% are female, 62.7% are male, average age 31.0.
| Metric | Value |
|---|---|
| Female | 37.3% |
| Male | 62.7% |
| Average age | 31.0 |
| Estimated audience size | 424,374 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 42% | |
| 20-29 | 24% | |
| 30-39 | 13% | |
| 40-49 | 14% | |
| 50+ | 7% |
Where the CodeChef audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington | ~20K | 2.06× | |
| 02 | Texas | ~50K | 1.47× | |
| 03 | Virginia | ~10K | 1.38× | |
| 04 | Wisconsin | ~9K | 1.35× | |
| 05 | California | ~60K | 1.34× | |
| 06 | New Jersey | ~10K | 1.33× | |
| 07 | Georgia | ~20K | 1.20× | |
| 08 | New York | ~30K | 1.19× | |
| 09 | Illinois | ~20K | 1.14× | |
| 10 | Arkansas | ~4K | 1.14× | |
| 11 | Massachusetts | ~9K | 1.12× | |
| 12 | Washington, District of Columbia | ~1K | 1.11× | |
| 13 | Alaska | ~1K | 1.11× | |
| 14 | Missouri | ~7K | 1.08× | |
| 15 | Arizona | ~9K | 1.07× | |
| 16 | North Dakota | <1K | 1.07× | |
| 17 | Oregon | ~5K | 1.06× | |
| 18 | New Hampshire | ~2K | 1.06× | |
| 19 | Vermont | <1K | 1.06× | |
| 20 | Indiana | ~8K | 1.04× | |
| 21 | Oklahoma | ~5K | 1.03× | |
| 22 | South Dakota | ~1K | 1.03× | |
| 23 | Maryland | ~7K | 1.02× | |
| 24 | Delaware | ~1K | 1.02× | |
| 25 | Kansas | ~3K | 1.00× | |
| 26 | Montana | ~1K | 1.00× | |
| 27 | Rhode Island | ~1K | 0.98× | |
| 28 | Connecticut | ~4K | 0.97× | |
| 29 | Pennsylvania | ~10K | 0.95× | |
| 30 | Idaho | ~2K | 0.95× | |
| 31 | West Virginia | ~2K | 0.95× | |
| 32 | Maine | ~1K | 0.95× | |
| 33 | Ohio | ~10K | 0.93× | |
| 34 | Hawaii | ~2K | 0.93× | |
| 35 | Nebraska | ~2K | 0.92× | |
| 36 | Utah | ~3K | 0.91× | |
| 37 | Iowa | ~3K | 0.91× | |
| 38 | New Mexico | ~2K | 0.91× | |
| 39 | North Carolina | ~10K | 0.90× | |
| 40 | Mississippi | ~3K | 0.90× | |
| 41 | Nevada | ~4K | 0.88× | |
| 42 | Minnesota | ~5K | 0.87× | |
| 43 | Kentucky | ~5K | 0.86× | |
| 44 | Alabama | ~5K | 0.85× | |
| 45 | South Carolina | ~5K | 0.84× | |
| 46 | Louisiana | ~5K | 0.84× | |
| 47 | Colorado | ~6K | 0.83× | |
| 48 | Florida | ~20K | 0.82× | |
| 49 | Michigan | ~9K | 0.82× | |
| 50 | Tennessee | ~7K | 0.80× |
The strongest cross-interests of the CodeChef audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Massive open online course | Business & Career | 97.25× | ||
| 02 | Amazon Web Services | Technology & Electronics | 40.07× | ||
| 03 | Cricket World Cup | Sports | 37.42× | ||
| 04 | Vodafone | Technology & Electronics | 32.61× | ||
| 05 | Microsoft Azure | Technology & Electronics | 30.88× | ||
| 06 | Etihad Airways | Travel & Leisure | 26.72× | ||
| 07 | Data science | Business & Career | 23.30× | ||
| 08 | Badminton | Sports | 15.97× | ||
| 09 | Captain D's | Food & Beverages | 13.86× | ||
| 10 | Robert Downey jr | Movies & TV | 11.98× | ||
| 11 | The Championships, Wimbledon | Sports | 10.98× | ||
| 12 | Information security | Business & Career | 10.14× | ||
| 13 | Internet & Social Media | 7.91× | |||
| 14 | Hinduism | Politics & Society | 7.39× | ||
| 15 | Innovation | Business & Career | 6.68× | ||
| 16 | Cloud computing | Technology & Electronics | 6.43× | ||
| 17 | Manchester United F.C. | Sports | 5.46× | ||
| 18 | Nordstrom rack | Fashion & Accessoires | 4.09× | ||
| 19 | FIFA World Cup | Sports | 3.73× | ||
| 20 | Internet & Social Media | 3.27× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 3.70× | |
| Need for Security | CONSERVATISM | 3.30× | |
| Career Orientation | POWER | 2.29× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.39× | |
| DIY Mentality | THRILL | 0.48× | |
| Family Orientation | CONSERVATISM | 0.53× |
CodeChef has an estimated audience of 424,374 people in United States, concentrated in California and Texas.
37.3% of CodeChef fans are female, 62.7% are male, with an average age of 31.0 years.
CodeChef fans show strongest brand affinity for Massive open online course (97.25×), Amazon Web Services (40.07×), and Data science (23.3×) over the country average.
CodeChef fans in United States are most concentrated in California (reach ~60K), Texas (reach ~50K), and New York (reach ~30K). These three regions account for the largest share of the active audience.
Beyond CodeChef itself, the audience over-indexes on Amazon Web Services (40.07×), Data science (23.3×), Cricket World Cup (37.42×), and Microsoft Azure (30.88×) 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 CodeChef. 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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