New South Wales Safety Intelligence

State-level telecommunications risk analysis derived from community-reported interaction data across New South Wales (NSW). Allocation data reflects numbering origin — not subscriber ownership.

New South Wales Telecommunications Risk Context

State-level telecommunications risk signals benchmarked against the national dataset.

Risk Intensity Index
0.7x
Ratio of state scam-report density (per 100K pop.) to national average. Derived from ABS population estimates and community report counts. Below national baseline — lower per-capita reporting intensity.
NSW Scam Ratio
44%
Proportion of reports classified as “scam” by community submitters. Classification is user-assigned and unverified. National avg: 44% = at average
Reports per 100K Pop.
1914.2
National avg: 2861.7 · Rank #3 of 8
Reporting Velocity
76 reports (last 7 days)
2,131 total reports (30d). Volume of approved community submissions within the stated window.
NSW National Share
21.1%
of all Australian reports. Reflects reporting concentration relative to population share.

Service Type Breakdown

Allocation reflects numbering origin, not call ownership. Currently dominated by local service allocations — mobile and VoIP segments will appear as reporting diversifies.

Local Service
160,561 (100%)

30-Day Trend Overview

Reporting Activity
↓85%
vs 30-day weekly average
Scam Ratio (30d)
38%
all-time: 44% ↓6pp
Lookup Volume
↓47%
vs 30-day weekly average

Notable 30-day shifts: Scam ↓6pp, Uncertain ↑4pp.

Lookup Activity Trends — NSW

Aggregated lookup volume patterns may correlate with emerging reporting activity.

Lookups (7d)
1,713
Weekly avg: 3,257 -47% vs avg
Lookups (30d)
14,006
Lookup Density per 100K
167
Lookup-to-Report Ratio
0.1x
30-day lookups per community report

High Lookup / Low Report Anomalies

Numbers with elevated lookup volume relative to report count — potential emerging activity indicators. High lookup volume does not imply classification or risk status.

Dataset Overview

Reported Numbers
66,632
Total Reports
160,561
Active Numbers (30d)
1,687
Multi-Report Numbers
43%
of reported numbers have 2+ reports

Report Classification Distribution

Dominant classification: Scam (44% of rated reports). 30-day shift: Scam ↓6pp , Uncertain ↑4pp

Scam
70,490 (44%)
Suspicious
34,556 (22%)
Spam
30,836 (19%)
Uncertain
13,468 (8%)
Legit
11,211 (7%)

Emerging Risk Signals in NSW

Signals indicate potential active campaigns or coordinated call patterns.

Rapid Report Accumulation

Numbers with 2+ community reports in the last 7 days — elevated reporting frequency.

Classification Escalation

Numbers with mixed report classifications and recent activity — divergent community assessments.