What do community-submitted reports reveal about phone activity in New South Wales? This dashboard tracks classification trends, lookup anomalies and risk signals across NSW-allocated numbers. Allocation reflects numbering origin - not subscriber ownership.
Data as of · Dataset established 2014
30% scam ratio (↑3pp above national avg)
Risk intensity 1.4x national baseline
Reporting ↑45% vs 30-day avg
1,756 active numbers in last 30 days
New South Wales Telecommunications Risk Context
NSW reporting intensity, scam prevalence and submission velocity - benchmarked against national figures. Where does this state sit relative to the rest of Australia?
Risk Intensity Index
1.4x
Ratio of state scam-report density (per 100K pop.) to national average, derived from ABS population estimates.
A value above 1.0 means more scam reports per capita than the national average.
NSW Scam Ratio
30%
Proportion of reports classified as “scam” by contributors. Classification is user-assigned and unverified.
National avg: 27%
↑ 3pp above
Reports per 100K Pop.
2026.8
National avg: 1643.3
· Rank #3 of 8
Reporting Velocity
725 reports (last 7 days)
2,157 total reports (30d). Volume of approved submissions within the stated window.
NSW National Share
38.9%
of all Australian reports. Reflects reporting concentration relative to population share.
Active Numbers (30d)
1,756
Distinct phone numbers with new reports in the last 30 days. Indicates current reporting breadth across NSW.
Emerging Risk Signals in NSW
Rapid report accumulation or shifting classifications on the same number - these patterns stand out from the baseline and warrant closer attention.
Rapid Report Accumulation
Two or more reports filed within seven days. When multiple people independently flag the same number in a short window, the signal carries more weight.
Some contributors classify these as scam while others disagree. That split makes the number harder to categorise definitively - watch for how the balance shifts as new reports come in.
Ranked by all-time report count. Independent reports from different contributors on the same number build a stronger signal - though classifications are user-assigned and can shift as new data arrives.
Received a suspicious call from a NSW number? Report it to Scamwatch as well - official reports help the ACMA take enforcement action.
30-Day Trend Overview
Weekly Report Volume
499
4w ago
522
3w ago
268
2w ago
725
This week
226 more reports this week compared to 4 weeks ago.
Reporting Activity
↑45%
vs 30-day weekly average
Scam Ratio (30d)
32%
all-time: 30%
↑2pp
Lookup Volume
↑34%
vs 30-day weekly average
Multi-Report Rate
40%
of reported numbers have 2+ reports. Higher rates suggest persistent or widespread activity.
Lookup Activity Trends - NSW
Lookup spikes often precede formal reports - a surge in searches for a particular number suggests people are noticing something before they submit.
Lookups (7d)
4,196
↑
Weekly avg: 3,135
+34% vs avg
Lookups (30d)
13,481
Lookup Density per 100K
160.7
Lookup-to-Report Ratio
0.1x
30-day lookups per report filed. Below 1.0 means more reports than lookups - contributors are actively engaged.
High Lookup / Low Report Anomalies
Frequently searched but rarely reported - these numbers sit in a gap between public curiosity and formal submission. High lookup volume alone does not confirm any risk.
Higher values suggest concentrated reporting on fewer numbers rather than broad coverage.
Dominant Classification
Scam
30% of all classified reports in NSW.
Dataset Established
2014
Reporting Model
Community-submitted
Classification Method
Rule-assisted aggregation
Localised Reporting Concentration
Larger population centres naturally produce more submissions, so raw volume alone does not indicate disproportionate risk. Select any locality below to see its number-level breakdown.