QLD Community Safety Intelligence - November 2021

What QLD residents reported between 1-30 November 2021 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-30 November 2021. Classifications and patterns below come directly from what people reported.

Contributors submitted 224 reports across 155 distinct numbers in Queensland - a moderate increase of 12% compared to October 2021.

The leading classification was Scam at 27%.

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

QLD's 27% scam rate sat 7 points below the national average of 34%.

Spam and Uncertain 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
224
vs October 2021 +12%
Unique Numbers Reported
155
Scam Rate
27%
National avg: 34% ↓ 7pp below

Classification Breakdown

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

Scam27%
Spam26%
Uncertain23%
Nuisance10%
Suspicious8%
Legitimate6%
224
reports

Scam led at 27% in November 2021, compared to 31% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 137 reports - more than double Nambour's 21. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to October 2021, Queensland saw a moderate increase of 12% in report volume.

October 2021
200
November 2021
224
Change
+12%

Seasonal Context

Report volume edged up 12% in November. A moderate increase like this is common when new number ranges start attracting attention.

Notable Changes

Scam accounted for 27% of classified reports in November.

Brisbane (137 reports) and Nambour (21) 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 5 reports each, suggesting these campaigns are still in early stages.

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 November 2021. 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 October 2021 - did they continue or go quiet?

NumberOctober 2021November 2021Status
(07) 3520 0363 12 reports 0 reports Inactive
(07) 3073 4245 10 reports 0 reports Inactive
(07) 3112 8029 9 reports 0 reports Inactive
(07) 4774 3246 8 reports 0 reports Inactive
(07) 3073 2452 8 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 1-30 November 2021. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to Queensland (QLD).
  • Period: 1-30 November 2021.
  • 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.