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Bullaburra is a NSW suburb in Blue Mountains LGA, matched to postcode 2784. New rental bonds in that postcode had a median weekly rent of $530 in 2025, up 1.9% from $520 in 2024. That is about 24% below the NSW median of $695. Bond medians describe new lodgements with Fair Trading, not every current lease in the suburb. Bullaburra recorded 33 criminal incidents in the 12 months to March 2026, up 65.0% from 20 a year earlier. 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 $540 a week. Half of new bonds sat between $500 and $625 a week. Fair Trading recorded 17 new bonds in the postcode in 2025. Over 2021–2025 the postcode median moved from $480 to $530 a week. Property offences totalled 10 and violent-related offences 7. Against justice procedures made up the largest published share (9 incidents, 27%). Next was Malicious damage to property (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. 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.
+1.9% year-on-year
+65% year-on-year
These figures describe rental bonds recorded across postcode 2784, not an individual property quote.
Track the published median weekly rent across the available years.
Postcode-wide figure for 2784
Compare published median weekly rents across the available dwelling types. Median weekly rent (AUD).
Postcode-wide figure for 2784
Compare current and previous published incident counts across broad groups.
See how published incidents are distributed across the largest available categories.