QLD Community Safety Intelligence - December 2025

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

Executive Summary

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

Contributors submitted 426 reports across 320 distinct numbers in Queensland - a notable decrease of 40% compared to November 2025.

The leading classification was Uncertain at 30%.

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

QLD's 18% scam rate tracked close to the national average of 21%.

Uncertain and Spam 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
426
vs November 2025 -40%
Unique Numbers Reported
320
Scam Rate
18%
National avg: 21% ↓ 3pp below

Classification Breakdown

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

Uncertain30%
Spam19%
Scam18%
Nuisance18%
Suspicious10%
Legitimate5%
426
reports

Uncertain led at 30% in December 2025, compared to 26% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 309 reports - more than double Southport's 17. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to November 2025, Queensland saw a notable decrease of 40% in report volume.

November 2025
705
December 2025
426
Change
-40%

Seasonal Context

The 40% drop in December is substantial. This often follows a particularly active prior month - elevated periods tend to revert.

Notable Changes

Uncertain made up 30% of classified reports in December, with scam at 18%.

Even with the 40% drop statewide, Brisbane still logged 309 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 5 reports each, suggesting these campaigns are still in early stages.

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 December 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 November 2025 - did they continue or go quiet?

NumberNovember 2025December 2025Status
(07) 4139 0610 10 reports 0 reports Inactive
(07) 3544 0057 8 reports 0 reports Inactive
(07) 3518 6234 7 reports 0 reports Inactive
(07) 3543 9412 7 reports 0 reports Inactive
(07) 3051 8500 6 reports 3 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 December 2025. All data is aggregated and anonymised.

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