A data profile of the people who buy, follow and care about Eating in Australia — modelled from more than twelve digital signal sources. Eating has an estimated audience of 7,872,733 people in Australia.
Eating has an estimated audience of 7,872,733 people in Australia. 63.3% are female, 36.7% are male, average age 42.7. Top brand affinities: Dinner, Pizza, Frying pan, Gluten, Buffet.
Top brand affinities include Dinner, Pizza, Frying pan, with strongest over-indexing on Dinner (1.81× the country average).
Demographically, the Eating audience skews more female with an average age of 42.7, and over-indexes on personality traits such as Community Orientation, Healthy Lifestyle.
The typical Eating fan in Australia is more female, around 42.7 years old, with strong Community Orientation tendencies and a notable affinity for Dinner.
The key figures that characterise the Eating profile in Australia.
63.3% are female, 36.7% are male, average age 42.7.
| Metric | Value |
|---|---|
| Female | 63.3% |
| Male | 36.7% |
| Average age | 42.7 |
| Estimated audience size | 7,872,733 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 13% | |
| 20-29 | 18% | |
| 30-39 | 18% | |
| 40-49 | 22% | |
| 50+ | 30% |
of the worldwide Eating audience comes from Australia.
| Country | Share |
|---|---|
| United States | 20.8% |
| Italy | 4.9% |
| Japan | 4.8% |
The strongest cross-interests of the Eating audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Nigella Lawson | Food & Beverages | 1.96× | ||
| 02 | Pepper Lunch | Food & Beverages | 1.91× | ||
| 03 | Pizza | Food & Beverages | 1.89× | ||
| 04 | Dinner | Food & Beverages | 1.81× | ||
| 05 | Hot pot | Food & Beverages | 1.80× | ||
| 06 | Casserole | Food & Beverages | 1.73× | ||
| 07 | Wok | Food & Beverages | 1.73× | ||
| 08 | Sharon Stone | Movies & TV | 1.70× | ||
| 09 | Fish market | Food & Beverages | 1.66× | ||
| 10 | Banana bread | Food & Beverages | 1.64× | ||
| 11 | Juicer | Food & Beverages | 1.61× | ||
| 12 | FoodLand | Shopping | 1.61× | ||
| 13 | Gluten | Health | 1.58× | ||
| 14 | Buffet | Food & Beverages | 1.58× | ||
| 15 | Bread roll | Food & Beverages | 1.58× | ||
| 16 | Krispy Kreme | Food & Beverages | 1.55× | ||
| 17 | Frying pan | Home & Garden | 1.54× | ||
| 18 | Dumpling | Food & Beverages | 1.53× | ||
| 19 | Sourdough | Food & Beverages | 1.52× | ||
| 20 | Ramen | Food & Beverages | 1.51× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Community Orientation | OPEN | 1.15× | |
| Healthy Lifestyle | BALANCE | 1.14× | |
| Mindfulness | BALANCE | 1.12× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.92× | |
| Travelling | THRILL | 0.96× | |
| Career Orientation | POWER | 0.96× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Australia who actively search for Eating. 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 Australia. 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.