QLD Community Safety Intelligence - March 2025

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

Executive Summary

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

Contributors submitted 596 reports across 402 distinct numbers in Queensland - a significant increase of 27% compared to February 2025.

The leading classification was Uncertain at 23%.

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

QLD's 20% scam rate tracked close to the national average of 25%.

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
596
vs February 2025 +27%
Unique Numbers Reported
402
Scam Rate
20%
National avg: 25% ↓ 5pp below

Classification Breakdown

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

Uncertain23%
Scam20%
Spam19%
Suspicious18%
Nuisance17%
Legitimate4%
596
reports

Uncertain led at 23% in March 2025, compared to 26% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 453 reports - more than double Cairns's 25. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to February 2025, Queensland saw a significant increase of 27% in report volume.

February 2025
470
March 2025
596
Change
+27%

Seasonal Context

March saw a 27% jump in reports compared to the prior month. Spikes this size usually trace back to one or two high-volume campaigns entering the dataset.

Notable Changes

Uncertain made up 23% of classified reports in March, with scam at 20%.

Brisbane (453 reports) and Cairns (25) 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 QLD picked up multiple reports in a short period this month, which typically indicates active call campaigns.

Flagged numbers averaged 10 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 March 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 February 2025 - did they continue or go quiet?

NumberFebruary 2025March 2025Status
(07) 3732 2547 8 reports 4 reports Active
(07) 3543 5111 6 reports 0 reports Inactive
(07) 3103 9201 6 reports 9 reports Active
(07) 3473 1722 5 reports 0 reports Inactive
(07) 4276 2835 5 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 1-31 March 2025. All data is aggregated and anonymised.

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