A data profile of the people who buy, follow and care about Serbia in United States — modelled from more than twelve digital signal sources. Serbia has an estimated audience of 1,947,407 people in United States.
The average Serbia fan in United States is 39.6 years old, more male, and lives primarily in California.
The audience is concentrated in California, Texas, Florida.
Top brand affinities include Lithuania, Montenegro, Adam Levine, with strongest over-indexing on Lithuania (17.38× the country average).
Demographically, the Serbia audience skews more male with an average age of 39.6, and over-indexes on personality traits such as Patriotism, 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 Serbia fan in United States is more male, around 39.6 years old, with strong Patriotism tendencies and a notable affinity for Lithuania.
The key figures that characterise the Serbia profile in United States.
43.1% are female, 56.9% are male, average age 39.6.
| Metric | Value |
|---|---|
| Female | 43.1% |
| Male | 56.9% |
| Average age | 39.6 |
| Estimated audience size | 1,947,407 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 18% | |
| 30-39 | 19% | |
| 40-49 | 20% | |
| 50+ | 22% |
Where the Serbia audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | Washington, District of Columbia | ~8K | 1.44× | |
| 02 | Alaska | ~6K | 1.37× | |
| 03 | Illinois | ~90K | 1.35× | |
| 04 | New York | ~100K | 1.21× | |
| 05 | Massachusetts | ~50K | 1.20× | |
| 06 | Colorado | ~40K | 1.20× | |
| 07 | Washington | ~50K | 1.18× | |
| 08 | Wisconsin | ~30K | 1.13× | |
| 09 | California | ~200K | 1.12× | |
| 10 | Virginia | ~50K | 1.12× | |
| 11 | Maine | ~8K | 1.12× | |
| 12 | New Jersey | ~50K | 1.10× | |
| 13 | Florida | ~100K | 1.07× | |
| 14 | Minnesota | ~30K | 1.07× | |
| 15 | Connecticut | ~20K | 1.07× | |
| 16 | Michigan | ~50K | 1.04× | |
| 17 | Oregon | ~20K | 1.04× | |
| 18 | New Hampshire | ~8K | 1.04× | |
| 19 | Vermont | ~4K | 1.04× | |
| 20 | Ohio | ~60K | 1.03× | |
| 21 | Indiana | ~40K | 1.03× | |
| 22 | Maryland | ~30K | 1.03× | |
| 23 | Arizona | ~40K | 1.02× | |
| 24 | Utah | ~20K | 1.02× | |
| 25 | Nevada | ~20K | 1.00× | |
| 26 | Rhode Island | ~6K | 0.99× | |
| 27 | Pennsylvania | ~60K | 0.97× | |
| 28 | Montana | ~5K | 0.97× | |
| 29 | South Dakota | ~4K | 0.97× | |
| 30 | North Dakota | ~4K | 0.97× | |
| 31 | Texas | ~200K | 0.96× | |
| 32 | Missouri | ~30K | 0.96× | |
| 33 | Hawaii | ~8K | 0.96× | |
| 34 | Idaho | ~9K | 0.95× | |
| 35 | North Carolina | ~60K | 0.94× | |
| 36 | Oklahoma | ~20K | 0.94× | |
| 37 | Iowa | ~20K | 0.94× | |
| 38 | Kansas | ~10K | 0.94× | |
| 39 | Nebraska | ~9K | 0.93× | |
| 40 | Georgia | ~50K | 0.90× | |
| 41 | Delaware | ~5K | 0.87× | |
| 42 | Tennessee | ~30K | 0.86× | |
| 43 | Kentucky | ~20K | 0.85× | |
| 44 | New Mexico | ~8K | 0.84× | |
| 45 | South Carolina | ~20K | 0.83× | |
| 46 | Louisiana | ~20K | 0.78× | |
| 47 | West Virginia | ~7K | 0.78× | |
| 48 | Arkansas | ~10K | 0.77× | |
| 49 | Alabama | ~20K | 0.72× | |
| 50 | Mississippi | ~10K | 0.69× |
The strongest cross-interests of the Serbia audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Red Star Belgrade | Sports | 28.55× | ||
| 02 | Montenegro | Travel & Leisure | 27.32× | ||
| 03 | Lithuania | Travel & Leisure | 17.38× | ||
| 04 | Adam Levine | Music & Radio | 15.77× | ||
| 05 | Hungary | Travel & Leisure | 15.62× | ||
| 06 | Kitchen garden | Home & Garden | 10.65× | ||
| 07 | Copa Libertadores | Sports | 9.26× | ||
| 08 | Ligue 1 | Sports | 7.78× | ||
| 09 | Stitch! | Movies & TV | 7.03× | ||
| 10 | US Open (tennis) | Sports | 3.96× | ||
| 11 | Largemouth bass | Food & Beverages | 3.43× | ||
| 12 | Diaper bag | Kids & Family | 2.72× | ||
| 13 | FIFA World Cup | Sports | 2.55× | ||
| 14 | Planet Fitness | Sports | 2.29× | ||
| 15 | New York Post | News | 2.28× | ||
| 16 | Golf Channel | Sports | 2.15× | ||
| 17 | Google News | News | 2.11× | ||
| 18 | Swimming | Sports | 1.85× | ||
| 19 | Nordstrom | Shopping | 1.59× | ||
| 20 | IKEA | Home & Garden | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Patriotism | CONSERVATISM | 2.89× | |
| Need for Security | CONSERVATISM | 1.59× | |
| Travelling | THRILL | 1.43× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 0.64× | |
| DIY Mentality | THRILL | 0.79× | |
| Sustainability | BALANCE | 0.85× |
Serbia has an estimated audience of 1,947,407 people in United States, concentrated in California and Texas.
43.1% of Serbia fans are female, 56.9% are male, with an average age of 39.6 years.
Serbia fans show strongest brand affinity for Lithuania (17.38×), Montenegro (27.32×), and Adam Levine (15.77×) over the country average.
Serbia fans in United States are most concentrated in California (reach ~200K), Texas (reach ~200K), and Florida (reach ~100K). These three regions account for the largest share of the active audience.
Beyond Serbia itself, the audience over-indexes on Montenegro (27.32×), Adam Levine (15.77×), FIFA World Cup (2.55×), and Hungary (15.62×) 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 Serbia. 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.
From global mass-market brands to niche local segments — explore the full library and see which intelligence layers are included.