Phone numbers reported as legitimate by the Australian community, aggregated across all states and territories.
Legitimate numbers are confirmed by community consensus as genuine callers - verified businesses, government agencies, healthcare providers, and similar organisations. Having these in the database matters because it helps people tell real callbacks apart from impersonation attempts, especially for numbers linked to Services Australia or banks.
Unlike uncertain numbers where data is thin, legitimate classifications reflect consistent positive reports from multiple contributors. These are particularly common on 1300 and 1800 prefixes used by institutions.
National Snapshot
Total Reports
22,538
Unique Numbers
17,296
Most Affected State
NSW
Top Prefix
28
Monthly Change
-28%
Last updated:
Legitimate Reports by State
How legitimate reports are spread across Australian states. Counts are absolute - population size varies significantly between states.
Risk levels are calculated from how many reports a number has and what people classified it as.
Common Patterns in Legitimate Activity
Legitimate numbers tend to cluster around well-known business types, and community consensus usually forms quickly for numbers tied to recognised organisations.
Healthcare reminders - Appointment confirmations, test results, and vaccination bookings from medical providers
Delivery notifications - Australia Post and courier companies confirming delivery times or access details
Bank security - Genuine fraud alerts from banks confirming unusual transactions
Government callbacks - Services Australia, ATO, and state agencies returning calls from enquiries you lodged
Confirmed legitimate numbers help reduce false alarms and make it easier to spot impersonation attempts. 1300 and 1800 prefixes are particularly common among verified numbers.
Why Legitimate Classification Matters
22,538 community reports across 17,296 unique numbers form the basis of this dataset.
New South Wales contributes the most reports (40% of total). Population differences affect absolute counts - see state breakdown for context.
The 02 prefix dominates among top-reported numbers, followed by 03 and 04.
Monthly volume has decreased by 28% compared to the prior month, possibly reflecting quieter campaign cycles.
Legitimate accounts for 3% of all community reports, making it a notable category on the platform.
For official guidance, refer to Scamwatch (ACCC) and ACMA. Reporting on Reverseau helps surface patterns faster for other Australians.
Monthly Trends
Reports decreased by 28% in March 2026 compared to the month before. 269 unique numbers were reported.
Peak month: July 2025 (553 reports)
291
May
395
Jun
553
Jul
431
Aug
462
Sep
481
Oct
392
Nov
262
Dec
378
Jan
412
Feb
298
Mar
44
Apr
* Current month is incomplete - reports still pending review may not yet be reflected.
Category Comparison
Scam Spam Suspicious
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Sep
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Apr
Most Reported Legitimate Numbers
By prefix: 02 (10), 03 (4), 04 (4) among the most reported.
Multiple people need to independently report that the number belongs to a recognised organisation - a doctor’s office, government agency, verified business - with consistently positive experiences.
Why should I report a legitimate phone number?
It helps reduce false alarms. When a government or healthcare number is confirmed as legitimate, other people can tell it apart from scammers who spoof the same number. This is especially valuable for numbers that scammers commonly impersonate.
Can a legitimate number later be reclassified?
Yes. If a legitimate number gets compromised, recycled, or starts behaving differently, new reports can change its classification. The system stays current because it’s based on ongoing community input.
How do I know if a government callback number is genuine?
Check the number against the official contact details on the agency’s .gov.au website. Government agencies typically use 1300, 1800, or published landline numbers and won’t ask for payment or personal details during an unsolicited call. Community reports on Reverseau can also help confirm whether others recognise the number as genuine.
All data on this page comes from community reports and reflects contributor experiences, not legal findings. Classifications follow Reverseau’s methodology, built on transparency and community consensus. For official advice, refer to the ACMA and Scamwatch (ACCC).
Data coverage: 2014-Present · Last reviewed: · Source: Community-submitted reports