QLD Community Safety Intelligence - February 2026

What QLD residents reported between 1-28 February 2026 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-28 February 2026. Classifications and patterns below come directly from what people reported.

Contributors submitted 723 reports across 556 distinct numbers in Queensland - a slight decrease of 7% compared to January 2026.

The leading classification was Uncertain at 28%.

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

QLD's 11% scam rate sat 7 points below the national average of 18%.

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
723
vs January 2026 -7%
Unique Numbers Reported
556
Scam Rate
11%
National avg: 18% ↓ 7pp below

Classification Breakdown

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

Uncertain28%
Spam26%
Nuisance17%
Suspicious14%
Scam11%
Legitimate5%
723
reports

Uncertain led at 28% - unchanged from January 2026.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 573 reports - more than double Southport's 32. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to January 2026, Queensland saw a slight decrease of 7% in report volume.

January 2026
779
February 2026
723
Change
-7%

Seasonal Context

February dipped 7% from the prior month. Small drops typically reflect a quieter campaign cycle rather than any reduction in scam activity overall.

Notable Changes

Uncertain made up 28% of classified reports in February, with scam at 11%.

Report distribution across Queensland stayed consistent, with Brisbane (573) and Southport (32) on top.

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, 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 February 2026. 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 January 2026 - did they continue or go quiet?

NumberJanuary 2026February 2026Status
(07) 3543 5243 8 reports 0 reports Inactive
(07) 7510 9174 8 reports 0 reports Inactive
(07) 5480 1313 7 reports 2 reports Active
(07) 4243 8030 7 reports 0 reports Inactive
(07) 3544 2697 6 reports 0 reports Inactive

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 1-28 February 2026. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to Queensland (QLD).
  • Period: 1-28 February 2026.
  • 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.