QLD Community Safety Intelligence - December 2019

What QLD residents reported between 1-31 December 2019 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-31 December 2019. Classifications and patterns below come directly from what people reported.

Contributors submitted 61 reports across 43 distinct numbers in Queensland - a notable decrease of 52% compared to November 2019.

The leading classification was Uncertain at 28%.

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

QLD's 25% scam rate tracked close to the national average of 23%.

Uncertain and Nuisance 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
61
vs November 2019 -52%
Unique Numbers Reported
43
Scam Rate
25%
National avg: 23% ↑ 2pp above

Classification Breakdown

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

Uncertain28%
Scam25%
Nuisance16%
Spam16%
Legitimate8%
Suspicious7%
61
reports

Uncertain led at 28% in December 2019, compared to Scam at 29% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 30 reports - more than double Ayr's 8. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to November 2019, Queensland saw a notable decrease of 52% in report volume.

November 2019
128
December 2019
61
Change
-52%

Seasonal Context

The 52% drop in December is substantial. This often follows a particularly active prior month - elevated periods tend to revert.

Notable Changes

Uncertain made up 28% of classified reports in December, with scam at 25%.

Even with the 52% drop statewide, Brisbane still logged 30 reports - the decline was spread across most areas.

Trends & Observations

Several numbers collected reports in a short time frame and were quickly classified as scam by contributors.

Numbers Picking Up Reports Quickly

4 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 December 2019. 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 November 2019 - did they continue or go quiet?

NumberNovember 2019December 2019Status
(07) 3608 5830 7 reports 0 reports Inactive
(07) 4763 0293 7 reports 1 reports Active
(07) 3039 1596 5 reports 0 reports Inactive
(07) 4241 1331 4 reports 0 reports Inactive
(07) 3608 5270 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 December 2019. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to Queensland (QLD).
  • Period: 1-31 December 2019.
  • 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.