QLD Community Safety Intelligence - January 2023

What QLD residents reported between 1-31 January 2023 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-31 January 2023. Classifications and patterns below come directly from what people reported.

Contributors submitted 550 reports across 397 distinct numbers in Queensland - a significant increase of 199% compared to December 2022.

The leading classification was Scam at 24%.

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

QLD's 24% scam rate sat 16 points below the national average of 40%.

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
550
vs December 2022 +199%
Unique Numbers Reported
397
Scam Rate
24%
National avg: 40% ↓ 16pp below

Classification Breakdown

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

Scam24%
Uncertain24%
Spam17%
Suspicious15%
Nuisance14%
Legitimate7%
550
reports

Scam led at 24% in January 2023, compared to Uncertain at 29% the month before.

Top Reporting Areas

Areas in Queensland with the most reports this month.

Brisbane generated 309 reports - more than double Yeppoon's 96. See the area pages above or the QLD data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to December 2022, Queensland saw a significant increase of 199% in report volume.

December 2022
184
January 2023
550
Change
+199%

Seasonal Context

January saw a 199% 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

Scam accounted for 24% of classified reports in January.

Brisbane (309 reports) and Yeppoon (96) 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 2023. 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 2022 - did they continue or go quiet?

NumberDecember 2022January 2023Status
(07) 2102 2364 5 reports 0 reports Inactive
(07) 3520 4368 4 reports 0 reports Inactive
(07) 2140 2069 4 reports 0 reports Inactive
(07) 2102 2357 4 reports 0 reports Inactive
(07) 2102 2365 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 1-31 January 2023. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to Queensland (QLD).
  • Period: 1-31 January 2023.
  • 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.