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  • 2840

Suburbs in postcode 2840, NSW

Browse each suburb

  • Bourke1,602 addresses→
  • North Bourke234 addresses→
  • Louth167 addresses→
  • Wanaaring143 addresses→
  • Enngonia139 addresses→
  • Tilpa64 addresses→
  • Fords Bridge27 addresses→
  • Yantabulla26 addresses→
  • Gunderbooka22 addresses→
  • Gumbalie21 addresses→
  • Hungerford11 addresses→
  • BarringunProfile coming soon

About postcode 2840

Postcode 2840 covers 12 NSW suburbs: Bourke, North Bourke, Louth, Wanaaring, Enngonia and 7 more. Bourke is the largest, with 65% of the postcode's G-NAF addresses. Most of its addresses fall in Bourke LGA. In 2025, 84 new rental bonds were lodged across the postcode, at a median of $300 a week, unchanged on $300 the year before. The NSW median for new bonds was $695. By size: 1-bedroom $190, 2-bedroom $255, 3-bedroom $350. Police recorded 1,172 criminal incidents in postcode 2840 in the 12 months to December 2025, against 1,517 the year before. That is a count, not a rate: it is not adjusted for residents or visitors, and a busy centre or transport hub can account for much of it. Sources: NSW Fair Trading rental bond lodgements, calendar 2025; BOCSAR postcode data, Jan 2025 – Dec 2025; G-NAF localities.

Postcode snapshot

$300 per week
Median weekly rentPostcode-wide figure for 2840

0% year-on-year

1,172
Recorded incidentsJanuary 2025 to December 2025

-22.7% year-on-year

Weekly rent trends

These figures describe rental bonds recorded across postcode 2840, not an individual property quote.

Median weekly rent by year

Track the published median weekly rent across the available years.

Postcode-wide figure for 2840

  • 2021: $235, 86 samples
  • 2022: $250, 91 samples
  • 2023: $255, 76 samples
  • 2024: $300, 76 samples
  • 2025: $300, 84 samples
Rent by dwelling type

Compare published median weekly rents across the available dwelling types. Median weekly rent (AUD).

Postcode-wide figure for 2840

  • House: $350, 63 samples
  • Flat/unit: $190, 18 samples
Rent by bedrooms

Compare published median weekly rents across the available bedroom counts. Median weekly rent (AUD).

Postcode-wide figure for 2840

  • 1 bedroom: $190, 16 samples
  • 2 bedrooms: $255, 18 samples
  • 3 bedrooms: $350, 39 samples

Recorded incidents

Recorded incidents by broad group

Compare current and previous published incident counts across broad groups.

Current periodPrevious period
  • Drug offences: 36 current, 19 previous, +89.5% year-on-year
  • Other offences: 143 current, 135 previous, +5.9% year-on-year
  • Justice procedure offences: 300 current, 426 previous, -29.6% year-on-year
  • Violent offences: 342 current, 401 previous, -14.7% year-on-year
  • Property offences: 351 current, 536 previous, -34.5% year-on-year
  • Transport offences: 0 current, 0 previous
Largest recorded-incident categories

See how published incidents are distributed across the largest available categories.

  • Against justice procedures: 300, 25.6% share
  • Theft: 254, 21.7% share
  • Assault: 173, 14.8% share
  • Intimidation, stalking and harassment: 130, 11.1% share
  • Disorderly conduct: 93, 7.9% share

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Data sources and disclaimers

Rental figures are derived from NSW Fair Trading rental bond lodgement data, © State of New South Wales, licensed under CC BY 4.0. Postcode-level medians and year-on-year changes were calculated by BeforeYouRent.

For current information go to www.nsw.gov.au.

Crime figures are sourced from the NSW Bureau of Crime Statistics and Research (BOCSAR), © State of New South Wales (Department of Communities and Justice). Its current copyright notice specifies CC BY 4.0 unless otherwise stated. Year-on-year changes were calculated by BeforeYouRent. Figures are police-recorded incidents, not convictions, and are not adjusted for population.

This data is general information only. Neither NSW Fair Trading nor BOCSAR endorses BeforeYouRent or warrants the accuracy of these figures.

Data sources: NSW Bureau of Crime Statistics and Research · 12 months to December 2025 · NSW Fair Trading rental bond lodgements · 2025

How we use this data