New South Wales Phone Safety Report – March 2026

An overview of emerging scam patterns, high-risk call themes, and community safety signals observed across New South Wales this month.

Executive Summary

New South Wales recorded a notable decline in reporting volume during March 2026. Reporting activity has decreased relative to the prior period, though short-duration burst patterns were observed, consistent with impersonation and callback-baiting campaigns. Community-sourced safety signals covered a substantial volume of actively monitored numbers across the state.

Scam remains the most frequently assigned community classification, with the state’s scam-classified proportion broadly aligning with the national average of 44%. The scam classification ratio has decreased notably when comparing recent activity to historical averages. Local Service numbers continue to account for the majority of reported activity within the state.

Sydney remains the primary reporting hub within New South Wales, followed by Newcastle and Parramatta and Albury and Wollongong. Metropolitan areas continue to generate the bulk of community reports, though regional activity patterns are also tracked.

Residents are encouraged to exercise caution with unsolicited calls and to report suspicious telecommunications activity to help build a more comprehensive community safety picture for New South Wales.

Observed Reporting Patterns in New South Wales

Scam-Classified Activity

Scam remains the dominant classification across community reports in NSW. The proportion of scam-classified reports has decreased notably, suggesting consistent targeting activity within the state. Community reports indicate patterns of repeated contact attempts and short-duration call bursts from numbers associated with this classification.

Local Service Number Patterns

Local Service numbers represent the majority of reporting activity in NSW. This reflects the broader national pattern where mobile-originated numbers dominate community telecommunications safety reports. Residents should be particularly vigilant with unsolicited calls and messages from unfamiliar mobile numbers.

Behavioural Micro-Patterns

Analysis of reporting cadence across NSW reveals several recurring behavioural signals: callback-baiting patterns — where missed calls prompt return calls to scam-operated numbers — continue to feature in community submissions. SMS-to-call conversion attempts, where text messages direct recipients to call back a provided number, remain a consistent vector.

Time-of-day clustering analysis indicates that the majority of reported scam-classified interactions occur during business hours, consistent with government and business impersonation strategies designed to exploit perceived legitimacy.

Classification Shifts

Notable shifts in community classification patterns have been observed in the recent period: Scam reports have decreased relative to historical averages; Uncertain reports have increased relative to historical averages. These shifts may indicate evolving call campaign strategies or changes in community reporting behaviour.

Notable Signal Developments

Several numbers exhibited accelerated reporting velocity within compressed time windows, followed by classification convergence toward scam designation.

Multiple numbers within NSW have accumulated rapid report submissions in the past seven days, suggesting active call campaigns or coordinated activity. Rapid accumulation of community reports often correlates with emerging scam operations targeting the state. Numbers exhibiting this velocity pattern frequently transition from “Unknown” or “Suspicious” to confirmed “Scam” classification within days.

Several numbers display divergent community classifications — receiving both scam and non-scam reports. This mixed classification pattern may indicate numbers transitioning between legitimate and illegitimate use, caller ID spoofing of legitimate business numbers, or community uncertainty about the nature of the calls received.

Regional Reporting Patterns Across New South Wales

Sydney metropolitan area remains the primary reporting hub within New South Wales, consistent with population distribution patterns. Notable reporting activity has also been observed in Newcastle, Parramatta, Albury, Wollongong.

Regional and rural areas contribute a smaller but important share of safety intelligence. Seasonal patterns in telecommunications activity may influence reporting volumes across different parts of the state.

Community Safety Guidance

  • Do not return missed calls from unknown 02 numbers without verification.
  • Verify any government agency claims through official websites or published contact numbers — the ATO, Centrelink, and Medicare will never threaten immediate action via phone.
  • Avoid clicking payment or delivery links received via SMS from unrecognised senders.
  • Be cautious of callers requesting remote access to your device or immediate payment via gift cards or cryptocurrency.
  • Report suspicious telecommunications activity to help build community safety intelligence.
  • Check numbers on Reverseau before returning calls from unknown sources.

Residents are encouraged to consult the full New South Wales data dashboard for detailed classification and allocation analysis.

Previous New South Wales Reports

February 2026

2,128 community reports analysed

January 2026

2,208 community reports analysed

December 2025

1,542 community reports analysed

November 2025

2,599 community reports analysed

October 2025

2,382 community reports analysed

September 2025

2,582 community reports analysed

August 2025

2,781 community reports analysed

July 2025

3,672 community reports analysed

June 2025

3,140 community reports analysed

May 2025

2,335 community reports analysed

April 2025

2,331 community reports analysed

March 2025

3,618 community reports analysed

February 2025

2,884 community reports analysed

January 2025

2,080 community reports analysed

December 2024

1,814 community reports analysed

November 2024

2,365 community reports analysed

October 2024

2,522 community reports analysed

September 2024

3,221 community reports analysed

August 2024

4,301 community reports analysed

July 2024

4,743 community reports analysed

June 2024

4,256 community reports analysed

May 2024

3,214 community reports analysed

April 2024

5,260 community reports analysed

March 2024

3,244 community reports analysed