QLD Community Safety Intelligence - August 2025

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

Executive Summary

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

Contributors submitted 594 reports across 433 distinct numbers in Queensland - a notable decrease of 24% compared to July 2025.

The leading classification was Uncertain at 24%.

Most reports came from Brisbane, followed by Southport and Mackay.

QLD's 16% scam rate tracked close to the national average of 20%.

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

Community Reports
594
vs July 2025 -24%
Unique Numbers Reported
433
Scam Rate
16%
National avg: 20% ↓ 4pp below

Classification Breakdown

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

Uncertain24%
Nuisance18%
Spam18%
Suspicious17%
Scam16%
Legitimate7%
594
reports

Uncertain led at 24% in August 2025, compared to 25% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 440 reports - more than double Southport's 23. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to July 2025, Queensland saw a notable decrease of 24% in report volume.

July 2025
777
August 2025
594
Change
-24%

Seasonal Context

The 24% drop in August is substantial. This often follows a particularly active prior month - elevated periods tend to revert.

Notable Changes

Uncertain made up 24% of classified reports in August, with scam at 16%.

Even with the 24% drop statewide, Brisbane still logged 440 reports - the decline was spread across most areas.

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

Flagged numbers averaged 6 reports each, meaning multiple people encountered them independently.

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

Mixed Classifications

Some numbers got both scam and non-scam reports during August 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 July 2025 - did they continue or go quiet?

NumberJuly 2025August 2025Status
(07) 2114 8898 13 reports 3 reports Active
(07) 2114 8897 13 reports 1 reports Active
(07) 2114 8892 11 reports 1 reports Active
(07) 2114 8894 11 reports 0 reports Inactive
(07) 2114 8896 10 reports 6 reports Active

Safety Tips

  • Don't call back unknown 07 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 Queensland.
  • Look up numbers on Reverseau before calling back.

How We Compiled This

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

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to Queensland (QLD).
  • Period: 1-31 August 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 QLD data dashboard.