South Australia Safety Intelligence

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

South Australia Telecommunications Risk Context

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

Risk Intensity Index
0.3x
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.
SA Scam Ratio
42%
Proportion of reports classified as “scam” by community submitters. Classification is user-assigned and unverified. National avg: 44% ↓ 2pp below
Reports per 100K Pop.
950.9
National avg: 2861.7 · Rank #6 of 8
Reporting Velocity
15 reports (last 7 days)
213 total reports (30d). Volume of approved community submissions within the stated window.
SA National Share
2.3%
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
17,535 (100%)

30-Day Trend Overview

Reporting Activity
↓70%
vs 30-day weekly average
Scam Ratio (30d)
27%
all-time: 42% ↓15pp
Lookup Volume
↓57%
vs 30-day weekly average

Notable 30-day shifts: Scam ↓15pp, Suspicious ↑7pp, Uncertain ↑9pp.

Lookup Activity Trends — SA

Aggregated lookup volume patterns may correlate with emerging reporting activity.

Lookups (7d)
282
Weekly avg: 657 -57% vs avg
Lookups (30d)
2,823
Lookup Density per 100K
153.1
Lookup-to-Report Ratio
0.2x
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
6,843
Total Reports
17,535
Active Numbers (30d)
165
Multi-Report Numbers
42%
of reported numbers have 2+ reports

Report Classification Distribution

Dominant classification: Scam (42% of rated reports). 30-day shift: Scam ↓15pp , Suspicious ↑7pp , Uncertain ↑9pp Scam classification remains below national average.

Scam
7,426 (42%)
Suspicious
3,682 (21%)
Spam
3,244 (19%)
Legit
1,628 (9%)
Uncertain
1,555 (9%)

Emerging Risk Signals in SA

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.