2/150 Oliver St · Grafton NSW 2460

Grafton suburb intelligence · all Sydney suburbs · building dossier

Grafton suburb ← Back to board

The Property Brief — what the evidence shows. You draw the conclusion.

CONSERVATIVE
$420k
the calibrated floor
LIKELY FAIR RANGE
$420k–$562k
around $477k mid
STRETCH CAP
$562k
$653k on the wider 80% band

Confidence: Low — based on 78 comparable auction sales (1 of this exact configuration) · model runs ±15% for this configuration · confidence held at Low — under 20 same-configuration sales · thin comparable support for this configuration — read the range as wider, not as a warning · the model's typical miss is ~11% against published results — every hit and miss

Comparable auction sales

AddressConfigSoldWhen
2 Woodward St2 bd · 1 ba$431kSept 2025
189 Turf St2 bd · 1 ba$386kMay 2025

Suburb risk flags

crime index: 100 — well above sydney average

Where every number comes from
  • Fair value: AI PropertyEye price model 2026-08-11-v5 — trained on 146,492 published auction sales; configuration-level (suburb × type × beds), not an appraisal of this exact home
  • Comps: published Domain auction results for Grafton — suburb × configuration matches, not hyper-matched to this address
  • Risk flags: suburb-level overlays (BOCSAR crime, flood/bushfire intel, aircraft bands, GTFS transit) — NOT a per-parcel assessment

Rent evidence — asking vs transacted, Grafton · postcode 2460

$400–$460/wk is what 2-bed units in 2460 actually transact for (middle half of 25 bonds lodged, Q2 2026 · median $425/wk — NSW Fair Trading, CC BY).


2019Q1 → 2026Q2: $280 → $410/wk · +5% over the last 12 months (latest four quarters averaged against the previous four) — quarterly new-tenancy medians for units in 2460, all bedroom counts pooled.

Asking rents are what agents hope for; bond figures are what tenants actually signed at (NSW Fair Trading bond lodgements, CC BY). No yield % is derived here: each rent above is a different grain from this home's price, and a ratio of two grains reads as precision it doesn't have. New-tenancy rents run hotter than sitting rents. Not financial advice.

Growth trend — Grafton units at auction

Not enough Grafton unit auctions on record to show a trend — this fills in as the archive grows.

Suburb-level, from published auction results. No single building has enough sales for a block-level series, so this is the honest grain; sales-mix shifts move raw medians, and the measured rate (when shown) controls for bed count.

Published auction results at this address

Auction weekResultPriceAgency
11 July 2026Passed inwithheldRay White TKG

From Domain's published weekly auction results — individual outcomes as published; withheld prices stay withheld.

⏭ It passed in — what happens next — the question the listing stops at

Across Sydney, homes that passed in and later sold went for about 6% less than comparable homes that sold under the hammer.

Half sold within 33 days, 76% within three months.

Like-for-like within bedroom and property-type groups · 64 comparison groups across Sydney, sales settled in the last two years. Based on passed-in homes that later sold. Homes that never sold aren't in the figure, so read this as what a sale fetches — not what the home is worth. Passing in is a negotiating position, not a verdict — this is evidence about outcomes, never advice on what to offer.

Sale history — the official settled-sale record at this address

ExchangedPriceChange since prior sale
7 Nov 2014 $180,000
15 Apr 2025 $290,000 +61.1% over 10.4 yrs

Settled-sale records from the NSW Valuer General's Property Sales Information. Dates are contract (exchange) dates; sales appear only once lodged, so the most recent months are incomplete and revise upward — never read the latest month as final. Two entries on one date are usually a single transaction recorded across parts. © State of New South Wales (Valuation NSW).

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Data from published auction results (Domain) and live portal listings. Estimates are never valuations or financial advice. Own this home and want a result corrected? hello@aipropertyeye.com.