QLD Community Safety Intelligence - October 2025

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

Executive Summary

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

Contributors submitted 625 reports across 449 distinct numbers in Queensland - relatively stable levels compared to September 2025.

The leading classification was Uncertain at 27%.

Most reports came from Brisbane, followed by Bundaberg 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
625
vs September 2025 +5%
Unique Numbers Reported
449
Scam Rate
13%
National avg: 19% ↓ 6pp below

Classification Breakdown

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

Uncertain27%
Spam25%
Nuisance15%
Suspicious14%
Scam13%
Legitimate6%
625
reports

Uncertain led at 27% in October 2025, compared to 23% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 457 reports - more than double Bundaberg's 36. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to September 2025, Queensland saw relatively stable levels in report volume.

September 2025
593
October 2025
625
Change
+5%

Seasonal Context

October volume held steady compared to the prior month - no major campaigns appeared or dropped off.

Notable Changes

Uncertain made up 27% of classified reports in October, with scam at 13%.

Report distribution across Queensland stayed consistent, with Brisbane (457) and Bundaberg (36) 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 October 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 September 2025 - did they continue or go quiet?

NumberSeptember 2025October 2025Status
(07) 3724 2124 15 reports 2 reports Active
(07) 2143 6900 11 reports 0 reports Inactive
(07) 2114 9939 10 reports 7 reports Active
(07) 2114 9931 10 reports 4 reports Active
(07) 2114 9933 8 reports 5 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 October 2025. All data is aggregated and anonymised.

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