Phone numbers reported as uncertain by the Australian community, aggregated across all states and territories.
Uncertain means there aren't enough reports, or existing reports conflict, so a clear classification isn't possible yet. These could be legitimate callers that people don't recognise, newly active numbers, or cases where one person says scam and another says safe.
As more people report, most uncertain numbers resolve into a clearer category - either legitimate, suspicious, or scam. Until then, standard caution applies: don't share personal details with any caller you can't verify.
National Snapshot
Total Reports
178,651
Unique Numbers
119,492
Most Affected State
NSW
Top Prefix
48
Monthly Change
-17%
Uncertain reports represent 23% of all 766,175 community reports, making it the second-largest category in the dataset, followed by Scam and Spam.
Last updated:
Uncertain Reports by State
How uncertain 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 Uncertain Activity
Uncertain numbers don't have enough reports, or existing reports disagree, making it hard to classify them clearly.
Too few reports - Under three reports, not enough to see a pattern
Conflicting views - Some people say scam, others say it's fine
Grey area - Calls that are pushy but not clearly fraudulent, like aggressive sales tactics
New numbers - Recently activated or recycled numbers with no history
Most uncertain numbers eventually get a clearer classification as more people report them. This is common across both landline area codes and mobile prefixes.
What the Data Shows
178,651 community reports across 119,492 unique numbers form the basis of this dataset.
New South Wales contributes the most reports (38% of total). Population differences affect absolute counts - see state breakdown for context.
The 02 prefix dominates among top-reported numbers, followed by 07 and 04.
Monthly volume has decreased by 17% compared to the prior month.
Uncertain accounts for 23% of all community reports, making it the second-largest 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 17% in March 2026 compared to the month before. 1,899 unique numbers were reported.
Peak month: July 2025 (3,560 reports)
2.5k
May
3.2k
Jun
3.6k
Jul
2.7k
Aug
2.9k
Sep
2.8k
Oct
2.8k
Nov
1.8k
Dec
2.7k
Jan
2.6k
Feb
2.1k
Mar
551
Apr
* Current month is incomplete - reports still pending review may not yet be reflected.
Category Comparison
Scam Spam Suspicious
May
Jun
Jul
Aug
Sep
Oct
Nov
Dec
Jan
Feb
Mar
Apr
Most Reported Uncertain Numbers
By prefix: 02 (8), 07 (4), 04 (4) among the most reported.
What does uncertain classification mean for a phone number?
It means there aren’t enough reports, or existing reports disagree, so the number can’t be clearly classified yet. It could be a business people don’t recognise, a new number, or a case where reporters see it differently.
Is an uncertain phone number dangerous?
Not necessarily. Plenty of uncertain numbers turn out to be legitimate businesses or services. Standard caution applies - verify who’s calling before sharing anything personal. Reporting your experience helps clear things up.
How can I help classify an uncertain number?
Submit a report describing what happened on the call, what the caller claimed, and whether you think it was legitimate or not. Each report helps the community figure out what the number actually is.
How long does it take for an uncertain number to be reclassified?
It depends on how many people report it. Numbers involved in active campaigns can get enough reports within days. Quieter numbers might stay uncertain for weeks or months. Mobile (04) numbers tend to get classified faster because more people encounter them.
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