QLD Community Safety Intelligence - January 2025

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

Executive Summary

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

Contributors submitted 468 reports across 315 distinct numbers in Queensland - a moderate increase of 15% compared to December 2024.

The leading classification was Uncertain at 25%.

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

QLD's 17% scam rate sat 8 points below 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
468
vs December 2024 +15%
Unique Numbers Reported
315
Scam Rate
17%
National avg: 25% ↓ 8pp below

Classification Breakdown

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

Uncertain25%
Spam19%
Scam17%
Nuisance16%
Suspicious16%
Legitimate8%
468
reports

Uncertain led at 25% in January 2025, compared to 28% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 269 reports - more than double Bundaberg's 38. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to December 2024, Queensland saw a moderate increase of 15% in report volume.

December 2024
406
January 2025
468
Change
+15%

Seasonal Context

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

Notable Changes

Uncertain made up 25% of classified reports in January, with scam at 17%.

Brisbane (269 reports) and Bundaberg (38) 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 7 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 January 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 December 2024 - did they continue or go quiet?

NumberDecember 2024January 2025Status
(07) 3473 5098 8 reports 3 reports Active
(07) 3492 9199 5 reports 0 reports Inactive
(07) 3741 1927 5 reports 0 reports Inactive
(07) 3543 5111 4 reports 11 reports Active
(07) 2142 8191 4 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 January 2025. All data is aggregated and anonymised.

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