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Frying Pan is a NSW suburb in Bega Valley LGA, matched to postcode 2630 — also covering Arable, Badja, Billilingra and nearby localities. New rental bonds in that postcode had a median weekly rent of $460 in 2025, down 2.1% from $470 in 2024. That is about 34% below the NSW median of $695. Bond medians describe new lodgements with Fair Trading, not every current lease in the suburb. Frying Pan recorded 1 criminal incident 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 $500 a week and flats/units at $350. Two-bedroom bonds had a median of $398; three-bedroom bonds $500. One-bedroom bonds sat at $320 a week. Four-bedroom bonds sat at $650 a week. Half of new bonds sat between $380 and $560 a week. Fair Trading recorded 283 new bonds in the postcode in 2025. Over 2021–2025 the postcode median moved from $420 to $460 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: 0. Violent-related offences: 1. The crime series is coded to this suburb name; the rent series, where shown, is the whole postcode. 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.
-2.1% year-on-year
These figures describe rental bonds recorded across postcode 2630, not an individual property quote.
Track the published median weekly rent across the available years.
Postcode-wide figure for 2630
Compare published median weekly rents across the available dwelling types. Median weekly rent (AUD).
Postcode-wide figure for 2630
Compare published median weekly rents across the available bedroom counts. Median weekly rent (AUD).
Postcode-wide figure for 2630
Compare current and previous published incident counts across broad groups.
See how published incidents are distributed across the largest available categories.