Northern Territory Safety Intelligence

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

Northern Territory Telecommunications Risk Context

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

Risk Intensity Index
0.2x
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.
NT Scam Ratio
40%
Proportion of reports classified as “scam” by community submitters. Classification is user-assigned and unverified. National avg: 44% ↓ 4pp below
Reports per 100K Pop.
704
National avg: 2861.7 · Rank #8 of 8
Reporting Velocity
1 reports (last 7 days)
16 total reports (30d). Volume of approved community submissions within the stated window.
NT National Share
0.2%
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
1,781 (100%)

30-Day Trend Overview

Reporting Activity
↓73%
vs 30-day weekly average
Scam Ratio (30d)
38%
all-time: 40% ↓2pp
Lookup Volume
↑130%
vs 30-day weekly average

Notable 30-day shifts: Suspicious ↓19pp, Spam ↑25pp, Uncertain ↑3pp, Legit ↓6pp.

Lookup Activity Trends — NT

Aggregated lookup volume patterns may correlate with emerging reporting activity.

Lookups (7d)
23 ↑
Weekly avg: 10 +130% vs avg
Lookups (30d)
42
Lookup Density per 100K
16.6

Dataset Overview

Reported Numbers
895
Total Reports
1,781
Active Numbers (30d)
13
Multi-Report Numbers
32%
of reported numbers have 2+ reports
Dataset Established
2014
Reporting Model
Community-submitted
Classification Method
Rule-assisted aggregation

Report Classification Distribution

Dominant classification: Scam (40% of rated reports). 30-day shift: Suspicious ↓19pp , Spam ↑25pp , Uncertain ↑3pp , Legit ↓6pp Scam classification remains below national average.

Scam
720 (40%)
Suspicious
446 (25%)
Spam
330 (19%)
Uncertain
182 (10%)
Legit
103 (6%)