A data profile of the people who buy, follow and care about Cheese in Denmark — modelled from more than twelve digital signal sources. Cheese has an estimated audience of 792,339 people in Denmark.
Cheese has an estimated audience of 792,339 people in Denmark. 58.3% are female, 41.7% are male, average age 43.9. Top brand affinities: Føtex, Kvickly, Desserts, Lunch, Vegetable.
Top brand affinities include Føtex, Kvickly, Desserts, with strongest over-indexing on Føtex (1.57× the country average).
Demographically, the Cheese audience skews more female with an average age of 43.9, and over-indexes on personality traits such as Social Media Usage, Travelling.
The typical Cheese fan in Denmark is more female, around 43.9 years old, with strong Social Media Usage tendencies and a notable affinity for Føtex.
The key figures that characterise the Cheese profile in Denmark.
58.3% are female, 41.7% are male, average age 43.9.
| Metric | Value |
|---|---|
| Female | 58.3% |
| Male | 41.7% |
| Average age | 43.9 |
| Estimated audience size | 792,339 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 13% | |
| 20-29 | 16% | |
| 30-39 | 14% | |
| 40-49 | 22% | |
| 50+ | 34% |
of the worldwide Cheese audience comes from Denmark.
| Country | Share |
|---|---|
| United States | 22.8% |
| Italy | 6.1% |
| Japan | 4.5% |
The strongest cross-interests of the Cheese audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Nut (fruit) | Food & Beverages | 1.96× | ||
| 02 | Sandwich | Food & Beverages | 1.92× | ||
| 03 | Lunch | Food & Beverages | 1.79× | ||
| 04 | Flour | Food & Beverages | 1.77× | ||
| 05 | Sweetness | Food & Beverages | 1.75× | ||
| 06 | Desserts | Food & Beverages | 1.72× | ||
| 07 | Butter | Food & Beverages | 1.72× | ||
| 08 | Vegetable | Food & Beverages | 1.71× | ||
| 09 | Pizza | Food & Beverages | 1.63× | ||
| 10 | Bakery | Food & Beverages | 1.62× | ||
| 11 | Sugar | Food & Beverages | 1.59× | ||
| 12 | Kvickly | Food & Beverages | 1.58× | ||
| 13 | Føtex | Shopping | 1.57× | ||
| 14 | Baking | Food & Beverages | 1.56× | ||
| 15 | Snack food | Food & Beverages | 1.54× | ||
| 16 | Cake | Food & Beverages | 1.53× | ||
| 17 | Milk | Food & Beverages | 1.53× | ||
| 18 | Meat | Food & Beverages | 1.52× | ||
| 19 | Italian cuisine | Food & Beverages | 1.50× | ||
| 20 | Oven | Home & Garden | 1.50× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Social Media Usage | JOY | 0.91× | |
| Travelling | THRILL | 0.88× | |
| Patriotism | CONSERVATISM | 0.55× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Early Adopter Mentality | POWER | 0.31× | |
| Patriotism | CONSERVATISM | 0.55× | |
| Travelling | THRILL | 0.88× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Denmark who actively search for Cheese. 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 Denmark. 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.