QLD Community Safety Intelligence - January 2026

What QLD residents reported between 1-31 January 2026 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-31 January 2026. Classifications and patterns below come directly from what people reported.

Contributors submitted 779 reports across 497 distinct numbers in Queensland - a significant increase of 83% compared to December 2025.

The leading classification was Uncertain at 28%.

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

QLD's 13% scam rate sat 6 points below the national average of 19%.

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
779
vs December 2025 +83%
Unique Numbers Reported
497
Scam Rate
13%
National avg: 19% ↓ 6pp below

Classification Breakdown

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

Uncertain28%
Spam21%
Nuisance19%
Suspicious14%
Scam13%
Legitimate5%
779
reports

Uncertain led at 28% in January 2026, compared to 30% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 577 reports - more than double Cairns's 38. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to December 2025, Queensland saw a significant increase of 83% in report volume.

December 2025
426
January 2026
779
Change
+83%

Seasonal Context

January saw a 83% 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 28% of classified reports in January, with scam at 13%.

Brisbane (577 reports) and Cairns (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 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 December 2025 - did they continue or go quiet?

NumberDecember 2025January 2026Status
(07) 3811 8944 8 reports 1 reports Active
(07) 2142 2224 7 reports 0 reports Inactive
(07) 4313 1166 5 reports 0 reports Inactive
(07) 3543 7498 4 reports 0 reports Inactive
(07) 3099 7892 4 reports 1 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 January 2026. All data is aggregated and anonymised.

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