NSW Community Safety Intelligence - July 2025

What NSW residents reported between 1-31 July 2025 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-31 July 2025. Classifications and patterns below come directly from what people reported.

Contributors submitted 3,620 reports across 2,190 distinct numbers in New South Wales - a moderate increase of 15% compared to June 2025.

The leading classification was Scam at 26%.

Most reports came from Sydney, followed by Newcastle and Parramatta.

NSW's 26% scam rate ran 6 points above the national average of 20% this month.

Uncertain and Suspicious actually outpaced scam this month, making the overall classification mix broader than usual. The NSW data dashboard has up-to-date numbers and classifications.

Community Reports
3,620
vs June 2025 +15%
Unique Numbers Reported
2,190
Scam Rate
26%
National avg: 20% ↑ 6pp above

Classification Breakdown

How people in NSW classified the numbers they reported this month.

Scam26%
Uncertain25%
Suspicious17%
Spam16%
Nuisance13%
Legitimate4%
3.6k
reports

Scam led at 26% in July 2025, compared to 25% the month before.

Top Reporting Areas

Areas in New South Wales with the most reports this month.

Sydney generated 3189 reports - more than double Newcastle's 98. See the area pages above or the NSW data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to June 2025, New South Wales saw a moderate increase of 15% in report volume.

June 2025
3,146
July 2025
3,620
Change
+15%

Seasonal Context

Report volume edged up 15% in July. A moderate increase like this is common when new number ranges start attracting attention.

Notable Changes

Scam accounted for 26% of classified reports in July.

Sydney (3189 reports) and Newcastle (98) remained the busiest areas despite the overall increase.

Trends & Observations

Several numbers collected reports in a short time frame and were quickly classified as scam by contributors.

Numbers Picking Up Reports Quickly

10 numbers in NSW picked up multiple reports in a short period this month, which typically indicates active call campaigns.

Flagged numbers averaged 11 reports each, meaning multiple people encountered them independently.

Reports on these numbers came from multiple areas across NSW, which points to automated dialling rather than calls targeting a single region.

Mixed Classifications

Some numbers got both scam and non-scam reports during July 2025. This can happen when a legitimate number is being spoofed, when a business number starts getting used for something else, or when people simply aren't sure what the call was about. These are worth keeping an eye on.

Previous Month's Flagged Numbers

Numbers that were trending in June 2025 - did they continue or go quiet?

NumberJune 2025July 2025Status
(02) 4072 9148 23 reports 0 reports Inactive
(02) 4072 9149 19 reports 0 reports Inactive
(02) 4072 9146 18 reports 1 reports Active
(02) 4072 9143 17 reports 0 reports Inactive
(02) 4072 9142 16 reports 0 reports Inactive

Safety Tips

  • Don't call back unknown 02 numbers without checking them first.
  • The ATO, Centrelink, and Medicare won't threaten you over the phone. If someone claims to be from a government agency, hang up and call the official number yourself.
  • Don't tap payment or delivery links in texts from numbers you don't recognise.
  • Got a suspicious call? Report it - every report helps other people in New South Wales.
  • Look up numbers on Reverseau before calling back.

How We Compiled This

Built from community reports submitted to Reverseau between 1-31 July 2025. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to New South Wales (NSW).
  • Period: 1-31 July 2025.
  • Classifications: Chosen by the person who reported the number.
  • Limitations: This is what people reported, not verified telecom records. Volume depends on how many people use the platform.

More detail on our methodology page. Full dataset on the NSW data dashboard.