A data profile of the people who buy, follow and care about Machinery Trader in United States — modelled from more than twelve digital signal sources. Machinery Trader has an estimated audience of 376,211 people in United States.
The average Machinery Trader fan in United States is 40.2 years old, more male, and lives primarily in Texas.
The audience is concentrated in Texas, Pennsylvania, Wisconsin.
Top brand affinities include Vincent D’Onofrio, Deborah Ann Woll, David Boreanaz, with strongest over-indexing on Vincent D’Onofrio (300.33× the country average).
Demographically, the Machinery Trader audience skews more male with an average age of 40.2, and over-indexes on personality traits such as Sustainability, Luxury Orientation.
Compared to the country baseline, this audience shows distinctive patterns across 20 brand affinities and 50 regions tracked by Rascasse.
The typical Machinery Trader fan in United States is more male, around 40.2 years old, with strong Sustainability tendencies and a notable affinity for Vincent D’Onofrio.
The key figures that characterise the Machinery Trader profile in United States.
18.7% are female, 81.3% are male, average age 40.2.
| Metric | Value |
|---|---|
| Female | 18.7% |
| Male | 81.3% |
| Average age | 40.2 |
| Estimated audience size | 376,211 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 20% | |
| 20-29 | 16% | |
| 30-39 | 19% | |
| 40-49 | 22% | |
| 50+ | 23% |
of the worldwide Machinery Trader audience comes from United States.
| Country | Share |
|---|---|
| United States | 70.6% |
| Canada | 5.4% |
| China | 4.4% |
Where the Machinery Trader audience in United States is strongest.
| # | Region | Reach | Affinity | × |
|---|---|---|---|---|
| 01 | South Dakota | ~3K | 3.61× | |
| 02 | North Dakota | ~3K | 3.41× | |
| 03 | Montana | ~3K | 3.05× | |
| 04 | Iowa | ~7K | 2.45× | |
| 05 | Nebraska | ~5K | 2.44× | |
| 06 | Wyoming | ~1K | 2.19× | |
| 07 | Vermont | ~1K | 1.76× | |
| 08 | Wisconsin | ~9K | 1.66× | |
| 09 | Maine | ~2K | 1.64× | |
| 10 | Idaho | ~3K | 1.54× | |
| 11 | Minnesota | ~8K | 1.45× | |
| 12 | New Hampshire | ~2K | 1.36× | |
| 13 | Missouri | ~7K | 1.23× | |
| 14 | Kansas | ~3K | 1.19× | |
| 15 | Alaska | <1K | 1.13× | |
| 16 | Arkansas | ~3K | 1.10× | |
| 17 | West Virginia | ~2K | 1.10× | |
| 18 | Kentucky | ~5K | 1.03× | |
| 19 | Indiana | ~6K | 0.91× | |
| 20 | Mississippi | ~3K | 0.87× | |
| 21 | Pennsylvania | ~10K | 0.82× | |
| 22 | Oklahoma | ~3K | 0.81× | |
| 23 | New Mexico | ~1K | 0.73× | |
| 24 | Tennessee | ~5K | 0.72× | |
| 25 | Alabama | ~4K | 0.71× | |
| 26 | Ohio | ~8K | 0.69× | |
| 27 | Utah | ~2K | 0.68× | |
| 28 | Illinois | ~8K | 0.65× | |
| 29 | Michigan | ~6K | 0.64× | |
| 30 | Colorado | ~4K | 0.64× | |
| 31 | Oregon | ~2K | 0.59× | |
| 32 | Louisiana | ~3K | 0.58× | |
| 33 | Connecticut | ~2K | 0.58× | |
| 34 | Rhode Island | <1K | 0.56× | |
| 35 | Delaware | <1K | 0.55× | |
| 36 | South Carolina | ~3K | 0.51× | |
| 37 | Hawaii | <1K | 0.51× | |
| 38 | Washington | ~4K | 0.50× | |
| 39 | North Carolina | ~5K | 0.49× | |
| 40 | Massachusetts | ~3K | 0.48× | |
| 41 | Virginia | ~4K | 0.47× | |
| 42 | Texas | ~10K | 0.45× | |
| 43 | New York | ~9K | 0.43× | |
| 44 | Georgia | ~5K | 0.41× | |
| 45 | Arizona | ~3K | 0.39× | |
| 46 | Nevada | ~1K | 0.39× | |
| 47 | Maryland | ~2K | 0.33× | |
| 48 | New Jersey | ~3K | 0.32× | |
| 49 | Florida | ~8K | 0.31× | |
| 50 | California | ~9K | 0.21× |
The strongest cross-interests of the Machinery Trader audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Vincent D’Onofrio | Movies & TV | 300.33× | ||
| 02 | Deborah Ann Woll | Movies & TV | 300.33× | ||
| 03 | Patong | Travel & Leisure | 151.41× | ||
| 04 | Rich Kids | Music & Radio | 151.09× | ||
| 05 | David Boreanaz | Movies & TV | 133.80× | ||
| 06 | Jimbaran | Travel & Leisure | 116.79× | ||
| 07 | Nusa Dua | Travel & Leisure | 93.97× | ||
| 08 | JCB (company) | Business & Career | 90.22× | ||
| 09 | Seminyak | Travel & Leisure | 71.72× | ||
| 10 | Wine Lovers | Food & Beverages | 56.78× | ||
| 11 | Smartsheet | Technology & Electronics | 55.79× | ||
| 12 | Portia de Rossi | Movies & TV | 49.71× | ||
| 13 | Denpasar | Travel & Leisure | 48.88× | ||
| 14 | Compact excavator | Home & Garden | 32.71× | ||
| 15 | Bulldozer | Cars & Mobility | 25.00× | ||
| 16 | Abigail | Music & Radio | 25.00× | ||
| 17 | Josh Brolin | Movies & TV | 22.59× | ||
| 18 | Loader (equipment) | Cars & Mobility | 20.18× | ||
| 19 | Excavator | Cars & Mobility | 12.78× | ||
| 20 | AccuWeather | Home & Garden | 7.87× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Sustainability | BALANCE | 1.64× | |
| Luxury Orientation | PREMIUM | 1.58× | |
| Early Adopter Mentality | POWER | 1.48× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Spirituality | BALANCE | 0.52× | |
| Convenience Orientation | PREMIUM | 0.53× | |
| Tradition | CONSERVATISM | 0.59× |
Machinery Trader's target market in United States covers an estimated 376,211 people, concentrated in Texas and Pennsylvania.
18.7% of the Machinery Trader audience are female, 81.3% are male, with an average age of 40.2 years.
Machinery Trader fans show strongest brand affinity for Vincent D’Onofrio (300.33×), Deborah Ann Woll (300.33×), and David Boreanaz (133.8×) over the country average.
Machinery Trader fans in United States are most concentrated in Texas (reach ~10K), Pennsylvania (reach ~10K), and Wisconsin (reach ~9K). These three regions account for the largest share of the active audience.
Beyond Machinery Trader itself, the audience over-indexes on Deborah Ann Woll (300.33×), David Boreanaz (133.8×), JCB (company) (90.22×), and Smartsheet (55.79×) 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 Machinery Trader. 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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