A data profile of the people who buy, follow and care about Joakim Noah in United States — modelled from more than twelve digital signal sources. Joakim Noah has an estimated audience of 302,225 people in United States.
The average Joakim Noah fan in United States is 30.4 years old, more male, and lives primarily in Illinois.
The audience is concentrated in Illinois, California, Florida.
Top brand affinities include Winona Ryder, Zach LaVine, Mariano's, with strongest over-indexing on Winona Ryder (107.06× the country average).
Demographically, the Joakim Noah audience skews more male with an average age of 30.4, and over-indexes on personality traits such as Spirituality, Indulgence.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Joakim Noah fan in United States is more male, around 30.4 years old, with strong Spirituality tendencies and a notable affinity for Winona Ryder.
The key figures that characterise the Joakim Noah profile in United States.
30.4% are female, 69.6% are male, average age 30.4.
| Metric | Value |
|---|---|
| Female | 30.4% |
| Male | 69.6% |
| Average age | 30.4 |
| Estimated audience size | 302,225 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 46% | |
| 20-29 | 20% | |
| 30-39 | 17% | |
| 40-49 | 10% | |
| 50+ | 8% |
Where the Joakim Noah audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Illinois | ~40K | 3.53× | |
| 02 | New York | ~30K | 1.63× | |
| 03 | Florida | ~30K | 1.54× | |
| 04 | Washington, District of Columbia | ~1K | 1.43× | |
| 05 | Indiana | ~8K | 1.40× | |
| 06 | Kentucky | ~5K | 1.29× | |
| 07 | Ohio | ~10K | 1.23× | |
| 08 | New Jersey | ~10K | 1.23× | |
| 09 | Connecticut | ~4K | 1.21× | |
| 10 | Georgia | ~10K | 1.17× | |
| 11 | Massachusetts | ~7K | 1.17× | |
| 12 | Maryland | ~6K | 1.16× | |
| 13 | Hawaii | ~2K | 1.15× | |
| 14 | Tennessee | ~7K | 1.10× | |
| 15 | North Carolina | ~10K | 1.05× | |
| 16 | Wisconsin | ~5K | 1.05× | |
| 17 | Rhode Island | ~1K | 1.04× | |
| 18 | Iowa | ~3K | 1.03× | |
| 19 | Virginia | ~8K | 0.99× | |
| 20 | Arkansas | ~3K | 0.97× | |
| 21 | California | ~30K | 0.96× | |
| 22 | Michigan | ~8K | 0.95× | |
| 23 | Minnesota | ~4K | 0.95× | |
| 24 | South Carolina | ~5K | 0.94× | |
| 25 | Mississippi | ~2K | 0.94× | |
| 26 | Pennsylvania | ~10K | 0.93× | |
| 27 | Alabama | ~4K | 0.92× | |
| 28 | Louisiana | ~4K | 0.91× | |
| 29 | Delaware | <1K | 0.91× | |
| 30 | Nevada | ~3K | 0.90× | |
| 31 | North Dakota | <1K | 0.90× | |
| 32 | Missouri | ~5K | 0.88× | |
| 33 | Nebraska | ~1K | 0.88× | |
| 34 | Oklahoma | ~3K | 0.87× | |
| 35 | Maine | <1K | 0.87× | |
| 36 | Vermont | <1K | 0.87× | |
| 37 | Colorado | ~4K | 0.85× | |
| 38 | New Hampshire | ~1K | 0.85× | |
| 39 | South Dakota | <1K | 0.85× | |
| 40 | West Virginia | ~1K | 0.84× | |
| 41 | Alaska | <1K | 0.84× | |
| 42 | Texas | ~20K | 0.83× | |
| 43 | Kansas | ~2K | 0.83× | |
| 44 | Montana | <1K | 0.82× | |
| 45 | Arizona | ~5K | 0.81× | |
| 46 | Oregon | ~3K | 0.80× | |
| 47 | Washington | ~5K | 0.76× | |
| 48 | New Mexico | ~1K | 0.72× | |
| 49 | Idaho | ~1K | 0.69× | |
| 50 | Utah | ~2K | 0.67× |
The strongest cross-interests of the Joakim Noah audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Zach LaVine | Sports | 283.30× | ||
| 02 | Pau Gasol | Sports | 160.83× | ||
| 03 | Jrue Holiday | Sports | 154.40× | ||
| 04 | Mariano's | Food & Beverages | 137.48× | ||
| 05 | Kevin Love | Sports | 116.23× | ||
| 06 | Dwight Howard | Sports | 108.26× | ||
| 07 | Wilt Chamberlain | Sports | 107.27× | ||
| 08 | Winona Ryder | Movies & TV | 107.06× | ||
| 09 | Emmy Rossum | Movies & TV | 96.28× | ||
| 10 | Scottie Pippen | Sports | 69.53× | ||
| 11 | American Funds | Business & Career | 57.82× | ||
| 12 | Toni Collette | Movies & TV | 46.21× | ||
| 13 | Damian Lillard | Sports | 41.39× | ||
| 14 | CustomInk | Shopping | 38.48× | ||
| 15 | Dumb and Dumber | Movies & TV | 34.19× | ||
| 16 | Kyrie Irving | Sports | 34.05× | ||
| 17 | Jack Nicholson | Movies & TV | 32.64× | ||
| 18 | Joel Embiid | Sports | 31.95× | ||
| 19 | Notebook | Technology & Electronics | 25.10× | ||
| 20 | Minnesota Timberwolves | Sports | 22.76× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 1.72× | |
| Indulgence | JOY | 1.29× | |
| Career Orientation | POWER | 1.24× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.60× | |
| Pet Ownership | JOY | 0.63× | |
| Creativity | OPEN | 0.68× |
Joakim Noah has an estimated audience of 302,225 people in United States, concentrated in Illinois and California.
30.4% of Joakim Noah fans are female, 69.6% are male, with an average age of 30.4 years.
Joakim Noah fans show strongest brand affinity for Winona Ryder (107.06×), Zach LaVine (283.3×), and Mariano's (137.48×) over the country average.
Joakim Noah fans in United States are most concentrated in Illinois (reach ~40K), California (reach ~30K), and Florida (reach ~30K). These three regions account for the largest share of the active audience.
Beyond Joakim Noah itself, the audience over-indexes on Zach LaVine (283.3×), Mariano's (137.48×), Jrue Holiday (154.4×), and Emmy Rossum (96.28×) 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 Joakim Noah. 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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