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Torrington is a NSW suburb in Inverell LGA, matched to postcode 2371 — also covering Capoompeta, Deepwater, Emmaville and nearby localities. New rental bonds in that postcode had a median weekly rent of $400 in 2025, up 21.2% from $330 in 2024. That is about 42% below the NSW median of $695. Bond medians describe new lodgements with Fair Trading, not every current lease in the suburb. Torrington recorded 11 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 $400 a week. Half of new bonds sat between $350 and $425 a week. Fair Trading recorded 18 new bonds in the postcode in 2025. Over 2022–2025 the postcode median moved from $268 to $400 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: 3. Violent-related offences: 3. 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. 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.
+21.2% year-on-year
-38.9% year-on-year
These figures describe rental bonds recorded across postcode 2371, not an individual property quote.
Track the published median weekly rent across the available years.
Postcode-wide figure for 2371
Compare published median weekly rents across the available dwelling types. Median weekly rent (AUD).
Postcode-wide figure for 2371
Compare current and previous published incident counts across broad groups.
See how published incidents are distributed across the largest available categories.