NSW Community Safety Intelligence - January 2020

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

Executive Summary

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

Contributors submitted 165 reports across 129 distinct numbers in New South Wales - a moderate increase of 10% compared to December 2019.

The leading classification was Scam at 24%.

Most reports came from Sydney, followed by Newcastle and Gosford.

NSW's 24% scam rate tracked close to the national average of 22%.

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 December 2019 +10%
Unique Numbers Reported
129
Scam Rate
24%
National avg: 22% ↑ 2pp above

Classification Breakdown

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

Scam24%
Uncertain21%
Spam21%
Suspicious16%
Nuisance13%
Legitimate6%
165
reports

Scam led at 24% in January 2020, compared to Uncertain at 27% the month before.

Top Reporting Areas

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

Sydney generated 98 reports - more than double Newcastle's 10. See the area pages above or the NSW data dashboard for full breakdowns.

Month-to-Month Comparison

Compared to December 2019, New South Wales saw a moderate increase of 10% in report volume.

December 2019
150
January 2020
165
Change
+10%

Seasonal Context

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

Notable Changes

Scam accounted for 24% of classified reports in January.

Report distribution across New South Wales stayed consistent, with Sydney (98) and Newcastle (10) 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

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, suggesting these campaigns are still in early stages.

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 January 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 December 2019 - did they continue or go quiet?

NumberDecember 2019January 2020Status
(02) 9060 7117 12 reports 1 reports Active
(02) 9169 8039 4 reports 0 reports Inactive
(02) 4067 5713 3 reports 0 reports Inactive
(02) 9169 8105 3 reports 0 reports Inactive
(02) 8104 1066 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 1-31 January 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 January 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.