Veep (TV series) has an estimated audience of 1.3M people in United States.
The average Veep (TV series) fan in United States is 43.8 years old, balanced, and lives primarily in California.
By number of fans, Veep (TV series) ranks #26 among the 246 objects in TV show in United States — 3.5× the group median.
Its fans are 4.4 years older than the group average of 39.4.
Women make up 51.9% of the fan base, 4.3 percentage points fewer than the group average.
Compared with the other 245 objects in TV show, Veep (TV series) fans stand out for their interest in Sharp Aquos, Eurostar and Bordeaux wine.
Most fans live in California, New York, Texas.
Top affinities include Sharp Aquos, Eurostar, Bordeaux wine, with strongest over-indexing on Sharp Aquos (334.51× the country average).
Demographically, the Veep (TV series) audience skews balanced with an average age of 43.8, and over-indexes on personality traits such as Sustainability, Convenience Orientation.
The typical Veep (TV series) fan in United States is balanced, around 43.8 years old, with strong Sustainability tendencies and a notable affinity for Sharp Aquos.
51.9% are female, 48.1% are male, average age 43.8.
| Metric | Value |
|---|---|
| Female | 51.9% |
| Male | 48.1% |
| Average age | 43.8 |
| Estimated audience size | 1.3M |
| Age bracket | Share | % |
|---|---|---|
| 16-24 | 13% | |
| 25-34 | 16% | |
| 35-44 | 18% | |
| 45-54 | 22% | |
| 55+ | 30% |
of the worldwide Veep (TV series) audience comes from United States.
| Country | Share |
|---|---|
| United States | 48.2% |
| United Kingdom | 6.4% |
| Canada | 4.1% |
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~8K | 2.95× | |
| 02 | Massachusetts | ~40K | 1.62× | |
| 03 | Vermont | ~4K | 1.53× | |
| 04 | New York | ~100K | 1.40× | |
| 05 | Maine | ~7K | 1.38× | |
| 06 | Illinois | ~60K | 1.24× | |
| 07 | New Hampshire | ~6K | 1.24× | |
| 08 | Washington | ~40K | 1.23× | |
| 09 | Minnesota | ~30K | 1.23× | |
| 10 | Oregon | ~20K | 1.22× | |
| 11 | Rhode Island | ~5K | 1.22× | |
| 12 | Connecticut | ~20K | 1.19× | |
| 13 | Pennsylvania | ~60K | 1.17× | |
| 14 | Colorado | ~30K | 1.14× | |
| 15 | Virginia | ~40K | 1.13× | |
| 16 | Maryland | ~30K | 1.11× | |
| 17 | Wisconsin | ~30K | 1.10× | |
| 18 | North Carolina | ~50K | 1.06× | |
| 19 | New Jersey | ~40K | 1.06× | |
| 20 | California | ~200K | 1.03× | |
| 21 | Ohio | ~50K | 0.99× | |
| 22 | Missouri | ~20K | 0.98× | |
| 23 | Michigan | ~40K | 0.96× | |
| 24 | Kansas | ~10K | 0.94× | |
| 25 | Delaware | ~4K | 0.94× | |
| 26 | Utah | ~10K | 0.90× | |
| 27 | Montana | ~4K | 0.89× | |
| 28 | Iowa | ~10K | 0.88× | |
| 29 | Nebraska | ~7K | 0.88× | |
| 30 | Alaska | ~2K | 0.88× | |
| 31 | Indiana | ~20K | 0.87× | |
| 32 | Tennessee | ~20K | 0.85× | |
| 33 | Kentucky | ~10K | 0.83× | |
| 34 | Arizona | ~20K | 0.82× | |
| 35 | Idaho | ~6K | 0.82× | |
| 36 | Georgia | ~40K | 0.81× | |
| 37 | North Dakota | ~2K | 0.81× | |
| 38 | South Carolina | ~20K | 0.79× | |
| 39 | Oklahoma | ~10K | 0.75× | |
| 40 | New Mexico | ~6K | 0.75× | |
| 41 | West Virginia | ~5K | 0.75× | |
| 42 | South Dakota | ~3K | 0.75× | |
| 43 | Texas | ~70K | 0.74× | |
| 44 | Florida | ~60K | 0.74× | |
| 45 | Arkansas | ~9K | 0.74× | |
| 46 | Louisiana | ~10K | 0.72× | |
| 47 | Alabama | ~10K | 0.71× | |
| 48 | Hawaii | ~4K | 0.70× | |
| 49 | Nevada | ~8K | 0.68× | |
| 50 | Mississippi | ~7K | 0.59× |
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Sharp Aquos | Technology & Electronics | 334.51× | ||
| 02 | Eurostar | Cars & Mobility | 319.48× | ||
| 03 | Bordeaux wine | Food & Beverages | 106.12× | ||
| 04 | LibreOffice | Technology & Electronics | 48.87× | ||
| 05 | Magic Mike | Movies & TV | 39.51× | ||
| 06 | BoJack Horseman | Movies & TV | 35.38× | ||
| 07 | Jason Segel | Movies & TV | 33.47× | ||
| 08 | WordPress | Technology & Electronics | 30.88× | ||
| 09 | Guillermo del Toro | Movies & TV | 30.16× | ||
| 10 | Oscar Isaac | Movies & TV | 29.41× | ||
| 11 | Software as a service | Technology & Electronics | 26.46× | ||
| 12 | Matthew Perry | Movies & TV | 26.46× | ||
| 13 | Julia Louis-Dreyfus | Movies & TV | 25.65× | ||
| 14 | It's Always Sunny in Philadelphia | Movies & TV | 24.59× | ||
| 15 | Katey Sagal | Movies & TV | 22.39× | ||
| 16 | Jeremy Allen White | Movies & TV | 21.83× | ||
| 17 | Emmy Rossum | Movies & TV | 17.34× | ||
| 18 | Zoe Saldana | Movies & TV | 13.31× | ||
| 19 | Kristen Bell | Movies & TV | 10.81× | ||
| 20 | NASDAQ | Business & Career | 8.05× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sustainability | BALANCE | 1.91× | |
| Convenience Orientation | PREMIUM | 1.54× | |
| Early Adopter Mentality | POWER | 1.42× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| DIY Mentality | THRILL | 0.75× | |
| Pet Ownership | JOY | 0.81× | |
| Healthy Lifestyle | BALANCE | 0.82× |
Cite as: “Rascasse Solution, Q3/2026, rascasse.com/explore/us/veep-tv-series-15727” · Methodology