72A Glenfarne St · Bexley NSW 2207

Bexley suburb intelligence · all Sydney suburbs

Bexley suburb ← Back to board
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Currently listed — $2,700,000

5 bed · 3 bath · 4 car · SemiDetached

View the live listing →

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

What we've tracked

  • 24 June 2026 listed by the agency (portal date)
  • 25 July 2026 auction: Postponed ( Power Property Group)
  • 15 Aug 2026 auction: Withdrawn ( Power Property Group)
  • 22 Aug 2026 asking $2.7M
  • 27 Aug 2026 on market 64 days — portal listing date

Suburb risk flags

aircraft noise moderate · crime index: 23 — below sydney average · 15 min walk to Bexley North · ~25 min train to the CBD · trains ~every 10 min at peak

Where every number comes from
  • Evidence trail: tracked by our radar from portal listings, web-archive checks and published auction results — each entry dated
  • Risk flags: suburb-level overlays (BOCSAR crime, flood/bushfire intel, aircraft bands, GTFS transit) — NOT a per-parcel assessment

⏱ Days on market — this campaign

64 days since our daily sweep first saw this listing.

The portal's own campaign may have started slightly earlier than our first sighting. Longer campaigns tend to mean more negotiating room — the board's "Longest listed" sort exists for exactly that reason.

Rent evidence — asking vs transacted, Bexley · postcode 2207

$1275–$1900/wk is what 5-bed houses in 2207 actually transact for (middle half of 29 bonds lodged, last 12 mo · median $1550/wk — NSW Fair Trading, CC BY).


2019Q1 → 2026Q2: $630 → $950/wk · +5% over the last 12 months (latest four quarters averaged against the previous four) — quarterly new-tenancy medians for houses in 2207, 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.

Development potential — how Bayside Council treats the work you might do

Refuses 9.51% of the development applications it decides · off-street parking 5.56% (determinations to Nov 2023).

The full outlook — every category with confidence ranges, which plan elements come unstuck, and the heritage effect by category — is under Explore the area.

Published auction results at this address

Auction weekResultPriceAgency
15 Aug 2026Withdrawnwithheld Power Property Group
25 July 2026Postponedwithheld Power Property Group

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

Similar properties — on the market now

The 6 listings above are on the market now: same house category, within 1 bedroom of 5, asking within 20% of this one, in Bexley or a suburb whose centre is within 3 km — ordered by how close the asking price is. That is the whole rule: a filter, not a recommendation, and nothing here judges which home is better.

↩ Withdrawn from auction — what happens next

Withdrawn from auction isn't the end of a sale — of withdrawn Sydney homes that went on to sell, half sold within 65 days.

63% sold within three months of the scheduled auction.

1,547 withdrawn-then-sold homes across Sydney. We don't publish a price figure for withdrawn homes: the measured gap is too unstable to stand behind, and a number we can't defend is worse than none. Based on withdrawn homes that later sold. Homes that never sold aren't in the figure — withdrawal sometimes means a private deal was already done, and sometimes means the listing simply ended.

Want the numbers agents don't volunteer?

Check any Sydney suburb free — Market Mint market-conditions readout, live median, clearance trend and the price model — at aipropertyeye.com. No sign-up for the suburb check; the full board is 7 days free.

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.