Executive Summary
This report analyses community-submitted telecommunications safety data across Tasmania between 1–31 January 2025. All classifications, trend observations, and regional patterns are derived from first-hand community intelligence aggregated through the Reverseau platform.
Tasmania recorded 87 community reports across 50 unique phone numbers during the reporting period. Compared to December 2024, reporting volume showed a significant increase of 118%, while 50 numbers remained under active community monitoring throughout the month.
Scam remains the most frequently assigned community classification at 47% of categorised reports, with a scam classification ratio of 47% across all submissions. A classification shift was observed: Scam displaced Suspicious as the dominant category, which may indicate a transition in active campaign strategies or a change in community reporting behaviour.
Geographically, reporting activity was concentrated in Hobart, followed by Yolla and Little Swanport. Hobart recorded more than double the reporting volume of the next most active locality (Yolla), indicating concentrated campaign activity or higher community engagement within this area.
Post-holiday reporting patterns typically show adjusted volumes as call campaigns recalibrate following the December–January seasonal break. Scam operators historically resume high-volume activity in mid-to-late January.
With scam classifications representing 47% of reports, the data indicates active but not overwhelming targeting levels within Tasmania. Residents are encouraged to report suspicious telecommunications activity and consult the TAS data dashboard for real-time classification and trend data.
Why This Matters
The proportion of scam-classified reports at 47% indicates active but evolving targeting patterns across Tasmania. Understanding these patterns at a community level enables faster identification of emerging campaign types and reduces the window between first contact and community-wide awareness. Sustained reporting activity across multiple localities strengthens the collective intelligence foundation, allowing classification convergence to accelerate as more residents contribute first-hand safety data to the TAS reporting ecosystem.
Scam Category Breakdown
Community classification distribution across TAS for the period 1–31 January 2025. Classifications are assigned by reporting users based on their direct experience with each number.
Scam accounted for 47% of categorised reports during January 2025. In December 2024, Suspicious held the top position with 35% of classifications. A classification shift was observed: Scam displaced Suspicious as the dominant category, which may indicate a transition in active campaign strategies or a change in community reporting behaviour.
Most Affected Areas in Tasmania
Localities with the highest concentration of community reports during 1–31 January 2025. Each locality links to its dedicated intelligence page with full classification breakdowns and number listings.
Hobart recorded more than double the reporting volume of the next most active locality (Yolla), indicating concentrated campaign activity or higher community engagement within this area. For detailed locality-level analysis, visit the individual area pages linked above or explore the TAS data dashboard.
Month-to-Month Comparison
Compared to December 2024, Tasmania experienced a significant increase of 118% in community reporting volume. Overall activity has increased, with moderate monitoring coverage across the state.
Seasonal Context
Post-holiday reporting patterns typically show adjusted volumes as call campaigns recalibrate following the December–January seasonal break. Scam operators historically resume high-volume activity in mid-to-late January. The observed increase of 118% aligns with typical post-seasonal campaign escalation, where scam operators increase targeting activity in response to changing consumer behaviour patterns.
Classification Movement
Scam classifications accounted for 47% of categorised reports in January, with scam-specific reports representing 47% of all submissions. These shifts in community classification patterns may reflect evolving campaign tactics, changes in the types of numbers being reported, or natural variation in reporting behaviour between periods. Monitoring classification movement over consecutive months provides a more reliable indicator of genuine trend shifts than any single-month comparison.
Regional Variation
Despite the overall increase in reporting volume, Hobart remained the primary reporting hub. Elevated reporting in Hobart may reflect both population density effects and localised campaign activity rather than a uniform state-wide increase.
Service Type Distribution
Local Service numbers account for 100% of reported activity, reflecting the broader national pattern where mobile-originated calls dominate community safety reports. Residents should exercise particular caution with unsolicited calls from unfamiliar local service numbers.
Emerging Trends & Observations
Several numbers exhibited accelerated reporting velocity within compressed time windows, followed by classification convergence toward scam designation.
Rapid Accumulation Signals
8 numbers within TAS accumulated multiple community reports within a compressed time window during 1–31 January 2025. This velocity pattern is consistent with active call campaigns or coordinated targeting activity. Numbers exhibiting rapid report accumulation frequently transition from initial “Unknown” or “Suspicious” classifications to confirmed “Scam” designation within days.
Flagged numbers averaged 5 reports each, consistent with early-stage campaign detection where community awareness is still building.
Several flagged numbers exhibited cross-locality reporting dispersion, with community submissions originating from multiple areas within TAS. This pattern suggests broadcast-style outbound activity rather than localised outreach, consistent with automated dialling campaigns that target numbers across geographic boundaries.
Divergent Classification Signals
Several numbers display mixed community classifications — receiving both scam and non-scam reports during January 2025. This divergence may indicate numbers transitioning between legitimate and illegitimate use, caller ID spoofing of legitimate business numbers, or community uncertainty about the nature of calls received. Numbers with divergent classifications warrant continued monitoring as community consensus develops.
Community Safety Guidance
- Do not return missed calls from unknown 03 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.
- Report suspicious telecommunications activity to help build community safety intelligence for Tasmania.
- Check numbers on Reverseau before returning calls from unknown sources.
Data Methodology
This report is compiled from community-submitted telecommunications safety reports for the period 1–31 January 2025. All data is aggregated and anonymised before publication.
- Source: First-hand community reports submitted via Reverseau.
- Scope: Numbers with a registered allocation within Tasmania (TAS).
- Period: 1–31 January 2025 (calendar month).
- Classifications: Assigned by reporting users based on their direct experience.
- Limitations: Data reflects community perception, not verified telecommunications records. Reporting volumes are influenced by platform adoption and user engagement patterns.
For detailed methodology, see our methodology page. For the full analytical dataset, visit the TAS data dashboard.