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Duffys Forest is a NSW suburb in Northern Beaches LGA, matched to postcode 2084 — also covering Akuna Bay, Cottage Point, Terrey Hills. New rental bonds in that postcode had a median weekly rent of $1,200 in 2025, up 0.4% from $1,195 in 2024. That is about 73% above the NSW median of $695. Bond medians describe new lodgements with Fair Trading, not every current lease in the suburb. Duffys Forest recorded 13 criminal incidents in the 12 months to March 2026. These are police-recorded incidents, not convictions, and they are not adjusted for how many people live or visit here. House bonds typically leased at $1,390 a week. Half of new bonds sat between $832 and $1,638 a week. Fair Trading recorded 28 new bonds in the postcode in 2025. Over 2021–2025 the postcode median moved from $1,025 to $1,200 a week. Because several suburbs share the postcode, the rent charts are a postcode picture, not a street-level one. Counts this small swing easily from year to year and should not be read as a trend on their own. Property offences: 3. Violent-related offences: 5. The crime series is coded to this suburb name; the rent series, where shown, is the whole postcode. The two windows are not identical: rents are calendar year, recorded crime is the 12 months to March 2026. Some person-offence categories are not itemised here because suburb geography under-counts them. Sources: NSW Fair Trading rental bond lodgements, calendar 2025; NSW Bureau of Crime Statistics and Research, Apr 2025 – Mar 2026.
A practical view of published rental and recorded incident data. Each measure keeps its original geographic scope.
+0.4% year-on-year
-35% year-on-year
These figures describe rental bonds recorded across postcode 2084, not an individual property quote.
Track the published median weekly rent across the available years.
Postcode-wide figure for 2084
Compare published median weekly rents across the available dwelling types. Median weekly rent (AUD).
Postcode-wide figure for 2084
Compare current and previous published incident counts across broad groups.
See how published incidents are distributed across the largest available categories.