👁️‍🗨️ How Unique Are You?

Discover how easily you could be identified from supposedly "anonymous" data. Even after removing names and addresses, organisations can still re-identify individuals using just a few basic demographic characteristics.
Understanding Your Risk: We show how many people share your demographic profile. Smaller groups mean higher re-identification risk in "anonymous" datasets.
Very High Risk: Less than 10 people
High Risk: 10-99 people
Moderate Risk: 100-999 people
Lower Risk: 1,000+ people

Your Demographics

Additional Details

Your Risk Level

Your Demographic Fingerprint

The risk profile above combines all attributes together to show your overall re-identification risk, whereas this chart shows the totals per attribute in isolation within the postcode selected.

Population Breakdown by Age Group

Understanding the age demographics in postcode . Your selected age group is highlighted to show where you fit within the local population distribution.


⚠️ Educational Purposes: The risk calculations presented by this tool are estimates for educational purposes and should not be considered exact measurements. Real-world re-identification risk depends on many factors beyond basic demographics, including the specific datasets being linked, the sophistication of matching algorithms, and additional available information.
About This Calculator: This tool uses Australian Bureau of Statistics (ABS) census data to demonstrate re-identification risk in anonymous datasets. By analyzing how many people in your postcode share your age group and gender, it estimates how easily you could be singled out.

Privacy: All calculations happen locally in your browser. We never collect, transmit, or store any of your information. You can see the source code for this app here: github.com/mitchelllisle/too-unique-to-hide-aus

Learn more about data protection in Australia at the Office of the Australian Information Commissioner.