NSW Community Safety Intelligence - December 2020

What NSW residents reported between 1-31 December 2020 - classifications, regional patterns, and numbers to watch.

Executive Summary

Based on community reports submitted to Reverseau between 1-31 December 2020. Classifications and patterns below come directly from what people reported.

Contributors submitted 165 reports across 128 distinct numbers in New South Wales - a notable decrease of 25% compared to November 2020.

The leading classification was Scam at 28%.

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

NSW's 28% scam rate sat 11 points below the national average of 39%.

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
165
vs November 2020 -25%
Unique Numbers Reported
128
Scam Rate
28%
National avg: 39% ↓ 11pp below

Classification Breakdown

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

Scam28%
Uncertain22%
Spam19%
Nuisance13%
Suspicious12%
Legitimate5%
165
reports

Scam led at 28% in December 2020, compared to 36% the month before.

Top Reporting Areas

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

Sydney generated 115 reports - more than double Windsor's 13. See the area pages above or the NSW data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to November 2020, New South Wales saw a notable decrease of 25% in report volume.

November 2020
221
December 2020
165
Change
-25%

Seasonal Context

The 25% drop in December is substantial. This often follows a particularly active prior month - elevated periods tend to revert.

Notable Changes

Scam accounted for 28% of classified reports in December.

Even with the 25% drop statewide, Sydney still logged 115 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

6 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 December 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 November 2020 - did they continue or go quiet?

NumberNovember 2020December 2020Status
(02) 9099 1633 10 reports 0 reports Inactive
(02) 7908 4174 9 reports 0 reports Inactive
(02) 9078 6541 7 reports 0 reports Inactive
(02) 7908 4175 6 reports 1 reports Active
(02) 7908 4176 5 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 1-31 December 2020. All data is aggregated and anonymised.

  • Source: First-hand reports from the community.
  • Scope: Numbers allocated to New South Wales (NSW).
  • Period: 1-31 December 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.