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Langley Vale is a NSW suburb in Mid-Coast LGA, matched to postcode 2426 — also covering Coopernook, Moto. New rental bonds in that postcode had a median weekly rent of $420 in 2025. That is about 40% below the NSW median of $695. Bond medians describe new lodgements with Fair Trading, not every current lease in the suburb. Langley Vale recorded 2 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 $450 a week. Half of new bonds sat between $375 and $500 a week. Fair Trading recorded 16 new bonds in the postcode in 2025. Over 2023–2025 the postcode median moved from $340 to $420 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: 1. Violent-related offences: 1. 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. Do not rank this suburb as more or less dangerous from the raw incident total. 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% year-on-year
These figures describe rental bonds recorded across postcode 2426, not an individual property quote.
Track the published median weekly rent across the available years.
Postcode-wide figure for 2426
Compare published median weekly rents across the available dwelling types. Median weekly rent (AUD).
Postcode-wide figure for 2426
Compare current and previous published incident counts across broad groups.
See how published incidents are distributed across the largest available categories.