A data profile of the people who buy, follow and care about Image sensor in Australia — modelled from more than twelve digital signal sources. Image sensor has an estimated audience of 3,057,688 people in Australia.
Image sensor has an estimated audience of 3,057,688 people in Australia. 59.3% are female, 40.7% are male, average age 42.5. Top brand affinities: Hobby, Wikipedia, Pizza, Real property, Blanket.
Top brand affinities include Hobby, Wikipedia, Pizza, with strongest over-indexing on Hobby (1.85× the country average).
Demographically, the Image sensor audience skews more female with an average age of 42.5, and over-indexes on personality traits such as Extroversion, Tradition.
The typical Image sensor fan in Australia is more female, around 42.5 years old, with strong Extroversion tendencies and a notable affinity for Hobby.
The key figures that characterise the Image sensor profile in Australia.
59.3% are female, 40.7% are male, average age 42.5.
| Metric | Value |
|---|---|
| Female | 59.3% |
| Male | 40.7% |
| Average age | 42.5 |
| Estimated audience size | 3,057,688 |
| Age bracket | Share | % |
|---|---|---|
| 16-19 | 13% | |
| 20-29 | 18% | |
| 30-39 | 18% | |
| 40-49 | 22% | |
| 50+ | 28% |
of the worldwide Image sensor audience comes from Australia.
| Country | Share |
|---|---|
| United States | 27.1% |
| Italy | 5.5% |
| United Kingdom | 4.9% |
The strongest cross-interests of the Image sensor audience — brands, topics and people combined.
| # | · | Interest | Category | Affinity | × |
|---|---|---|---|---|---|
| 01 | Isla Fisher | Movies & TV | 2.36× | ||
| 02 | Sicily | Travel & Leisure | 2.33× | ||
| 03 | Hugh Grant | Movies & TV | 2.32× | ||
| 04 | Natalie Portman | Movies & TV | 2.24× | ||
| 05 | Rome | Travel & Leisure | 2.18× | ||
| 06 | Neil Diamond | Music & Radio | 2.06× | ||
| 07 | Richard Marx | Music & Radio | 1.98× | ||
| 08 | Elizabeth Taylor | Movies & TV | 1.96× | ||
| 09 | Wikipedia | Internet & Social Media | 1.95× | ||
| 10 | Hobby | Home & Garden | 1.85× | ||
| 11 | Blanket | Home & Garden | 1.79× | ||
| 12 | Pizza | Food & Beverages | 1.77× | ||
| 13 | Public security | Politics & Society | 1.66× | ||
| 14 | Eventbrite | Travel & Leisure | 1.66× | ||
| 15 | Nicole Kidman | Movies & TV | 1.65× | ||
| 16 | Milan | Travel & Leisure | 1.63× | ||
| 17 | Cappuccino | Food & Beverages | 1.59× | ||
| 18 | Pasta | Food & Beverages | 1.56× | ||
| 19 | Real property | Home & Garden | 1.55× | ||
| 20 | ABC | Movies & TV | 1.54× |
Values above 1.00× are above the country average, values below 1.00× below it.
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Extroversion | THRILL | 1.33× | |
| Tradition | CONSERVATISM | 1.24× | |
| Community Orientation | OPEN | 1.23× |
| Trait | Cluster | Deviation | Score |
|---|---|---|---|
| Pet Ownership | JOY | 0.84× | |
| Luxury Orientation | PREMIUM | 0.84× | |
| Need for Security | CONSERVATISM | 0.85× |
Related profiles, rankings and the same audience in other markets.
Audience size is the estimated number of people in Australia who actively search for Image sensor. 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.
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