NSW Community Safety Intelligence - September 2020

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

Executive Summary

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

Contributors submitted 257 reports across 194 distinct numbers in New South Wales - a moderate increase of 10% compared to August 2020.

The leading classification was Scam at 34%.

Most reports came from Sydney, followed by Blacktown and Parramatta.

NSW's 34% scam rate tracked close to the national average of 35%.

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

Community Reports
257
vs August 2020 +10%
Unique Numbers Reported
194
Scam Rate
34%
National avg: 35% ↓ 1pp below

Classification Breakdown

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

Scam34%
Uncertain26%
Spam13%
Nuisance9%
Suspicious9%
Legitimate9%
257
reports

Scam led at 34% in September 2020, compared to 33% the month before.

Top Reporting Areas

Areas in New South Wales with the most reports this month.

Sydney generated 194 reports - more than double Blacktown's 12. See the area pages above or the NSW data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to August 2020, New South Wales saw a moderate increase of 10% in report volume.

August 2020
233
September 2020
257
Change
+10%

Seasonal Context

Report volume edged up 10% in September. A moderate increase like this is common when new number ranges start attracting attention.

Notable Changes

Scam accounted for 34% of classified reports in September.

Report distribution across New South Wales stayed consistent, with Sydney (194) and Blacktown (12) 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

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

Flagged numbers averaged 5 reports each, meaning multiple people encountered them independently.

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

Mixed Classifications

Some numbers got both scam and non-scam reports during September 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 August 2020 - did they continue or go quiet?

NumberAugust 2020September 2020Status
(02) 4786 0566 8 reports 0 reports Inactive
(02) 8007 3159 4 reports 0 reports Inactive
(02) 8007 3779 4 reports 0 reports Inactive
(02) 8331 3697 3 reports 0 reports Inactive
(02) 8311 8729 3 reports 0 reports Inactive

Safety Tips

  • Don't call back unknown 02 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 New South Wales.
  • Look up numbers on Reverseau before calling back.

How We Compiled This

Built from community reports submitted to Reverseau between 1-30 September 2020. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to New South Wales (NSW).
  • Period: 1-30 September 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 NSW data dashboard.