QLD Community Safety Intelligence - November 2020

What QLD residents reported between 1-30 November 2020 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-30 November 2020. Classifications and patterns below come directly from what people reported.

Contributors submitted 83 reports across 56 distinct numbers in Queensland - relatively stable levels compared to October 2020.

The leading classification was Uncertain at 33%.

Most reports came from Brisbane, followed by Thursday Island and Southport.

QLD's 22% scam rate sat 22 points below the national average of 44%.

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
83
vs October 2020 -3%
Unique Numbers Reported
56
Scam Rate
22%
National avg: 44% ↓ 22pp below

Classification Breakdown

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

Uncertain33%
Spam24%
Scam22%
Suspicious10%
Nuisance8%
Legitimate4%
83
reports

Uncertain led at 33% in November 2020, compared to Scam at 23% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 59 reports - more than double Thursday Island's 5. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to October 2020, Queensland saw relatively stable levels in report volume.

October 2020
86
November 2020
83
Change
-3%

Seasonal Context

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

Notable Changes

Uncertain made up 33% of classified reports in November, with scam at 22%.

Report distribution across Queensland stayed consistent, with Brisbane (59) and Thursday Island (5) 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

7 numbers in QLD picked up multiple reports in a short period this month, which typically indicates active call campaigns.

Flagged numbers averaged 4 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 2020. 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 2020 - did they continue or go quiet?

NumberOctober 2020November 2020Status
(07) 4557 8900 9 reports 0 reports Inactive
(07) 3040 1887 5 reports 0 reports Inactive
(07) 3123 0040 5 reports 1 reports Active
(07) 3703 1816 4 reports 0 reports Inactive
(07) 3053 5005 3 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 2020. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to Queensland (QLD).
  • Period: 1-30 November 2020.
  • 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.