SA Community Safety Intelligence - February 2025

What SA residents reported between 1-28 February 2025 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-28 February 2025. Classifications and patterns below come directly from what people reported.

Contributors submitted 280 reports across 179 distinct numbers in South Australia - a moderate increase of 9% compared to January 2025.

The leading classification was Uncertain at 30%.

Most reports came from Adelaide, followed by Alford and Port Wakefield.

SA's 12% scam rate sat 9 points below the national average of 21%.

Uncertain and Spam actually outpaced scam this month, making the overall classification mix broader than usual. The SA data dashboard has up-to-date numbers and classifications.

Community Reports
280
vs January 2025 +9%
Unique Numbers Reported
179
Scam Rate
12%
National avg: 21% ↓ 9pp below

Classification Breakdown

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

Uncertain30%
Spam24%
Suspicious15%
Nuisance15%
Scam12%
Legitimate4%
280
reports

Uncertain led at 30% in February 2025, compared to 29% the month before.

Top Reporting Areas

Areas in South Australia with the most reports this month.

Adelaide generated 236 reports - more than double Alford's 11. See the area pages above or the SA data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to January 2025, South Australia saw a moderate increase of 9% in report volume.

January 2025
256
February 2025
280
Change
+9%

Seasonal Context

Report volume edged up 9% in February. A moderate increase like this is common when new number ranges start attracting attention.

Notable Changes

Uncertain made up 30% of classified reports in February, with scam at 12%.

Report distribution across South Australia stayed consistent, with Adelaide (236) and Alford (11) 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 SA picked up multiple reports in a short period this month, which typically indicates active call campaigns.

Flagged numbers averaged 6 reports each, meaning multiple people encountered them independently.

Reports on these numbers came from multiple areas across SA, which points to automated dialling rather than calls targeting a single region.

Mixed Classifications

Some numbers got both scam and non-scam reports during February 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 January 2025 - did they continue or go quiet?

NumberJanuary 2025February 2025Status
(08) 7119 6153 6 reports 0 reports Inactive
(08) 7743 7489 5 reports 0 reports Inactive
(08) 8470 6952 5 reports 0 reports Inactive
(08) 7480 0397 5 reports 0 reports Inactive
(08) 7083 9074 4 reports 0 reports Inactive

Safety Tips

  • Don't call back unknown 08 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 South Australia.
  • Look up numbers on Reverseau before calling back.

How We Compiled This

Built from community reports submitted to Reverseau between 1-28 February 2025. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to South Australia (SA).
  • Period: 1-28 February 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 SA data dashboard.