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  • 2472

Suburbs in postcode 2472, NSW

Browse each suburb

  • Woodburn598 addresses→
  • Broadwater588 addresses→
  • New Italy176 addresses→
  • Rileys Hill101 addresses→
  • Buckendoon28 addresses→
  • Kilgin25 addresses→
  • Tabbimoble25 addresses→
  • The Gap21 addresses→

About postcode 2472

Postcode 2472 covers 8 NSW suburbs: Woodburn, Broadwater, New Italy, Rileys Hill, Buckendoon and 3 more. Woodburn is the largest, with 38% of the postcode's G-NAF addresses. Most of its addresses fall in Richmond Valley LGA. In 2025, 52 new rental bonds were lodged across the postcode, at a median of $550 a week, up 19.0% on $462 the year before. The NSW median for new bonds was $695. By size: 1-bedroom $285, 3-bedroom $550, 4-bedroom $655. Police recorded 118 criminal incidents in postcode 2472 in the 12 months to December 2025, against 161 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

$550 per week
Median weekly rentPostcode-wide figure for 2472

+19% year-on-year

118
Recorded incidentsJanuary 2025 to December 2025

-26.7% year-on-year

Weekly rent trends

These figures describe rental bonds recorded across postcode 2472, not an individual property quote.

Median weekly rent by year

Track the published median weekly rent across the available years.

Postcode-wide figure for 2472

  • 2021: $430, 31 samples
  • 2022: $500, 27 samples
  • 2023: $500, 51 samples
  • 2024: $462, 56 samples
  • 2025: $550, 52 samples
Rent by dwelling type

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

Postcode-wide figure for 2472

  • House: $568, 40 samples
Rent by bedrooms

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

Postcode-wide figure for 2472

  • 1 bedroom: $285, 10 samples
  • 3 bedrooms: $550, 23 samples
  • 4 bedrooms: $655, 12 samples

Recorded incidents

Recorded incidents by broad group

Compare current and previous published incident counts across broad groups.

Current periodPrevious period
  • Drug offences: 3 current, 6 previous, -50% year-on-year
  • Other offences: 11 current, 13 previous, -15.4% year-on-year
  • Justice procedure offences: 20 current, 19 previous, +5.3% year-on-year
  • Violent offences: 24 current, 43 previous, -44.2% year-on-year
  • Property offences: 60 current, 80 previous, -25% year-on-year
  • Transport offences: 0 current, 0 previous
Largest recorded-incident categories

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

  • Theft: 40, 33.9% share
  • Against justice procedures: 20, 16.9% share
  • Malicious damage to property: 12, 10.2% share
  • Assault: 9, 7.6% share
  • Arson: 8, 6.8% share

Nearby postcodes

  • Postcode 2471About 1.2 km away→
  • Postcode 2477About 4 km away→
  • Postcode 2473About 5 km away→
  • Postcode 2480About 5.6 km away→
  • Postcode 2469About 9.2 km away→

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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