8E/27-31 William Street · Botany NSW 2019

Botany suburb intelligence · all Sydney suburbs · building dossier

Botany suburb ← Back to board
← swipe · 10 photos

Currently listed

3 bed · 2 bath · 1 car · Townhouse · 201 m² land

View the live listing →

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

CONSERVATIVE
$1.37M
the calibrated floor
LIKELY FAIR RANGE
$1.37M–$1.74M
around $1.55M mid
STRETCH CAP
$1.74M
$2.01M on the wider 80% band

Confidence: Medium — based on 42 comparable auction sales · model runs ±12% for this configuration · adjusted for this block's land size · the model's typical miss is ~11% against published results — every hit and miss

What we've tracked

  • 3 July 2026 first tracked by our radar (the portal doesn't publish its list date)
  • 29 Aug 2026 on market 57+ days — first tracked by us, a lower bound

Comparable auction sales

AddressConfigSoldWhen
10c/44 William St3 bd · 1 ba$1.62MJuly 2025
2/90 Bay St3 bd · 2 ba$1.51MJuly 2025
2A Daphne St3 bd · 2 ba$1.27MJune 2025
7D/17 William St3 bd · 1 ba$1.51MJune 2025
2C/27 William St3 bd · 2 ba$1.6MJune 2025
25/33 William St3 bd · 2 ba$1.68MMar 2025

Suburb risk flags

flood exposure 79% of the suburb · bushfire exposure 0% · aircraft noise moderate · crime index: 29 — below sydney average · 24 min walk to Domestic Airport · ~12 min train to the CBD · trains ~every 8 min at peak

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 Botany — suburb × configuration matches, not hyper-matched to this address
  • 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

57 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, Botany · postcode 2019

$1100–$1375/wk is what 3-bed townhouses in 2019 actually transact for (middle half of 27 bonds lodged, last 12 mo · median $1250/wk — NSW Fair Trading, CC BY).


2019Q1 → 2026Q2: $950 → $1250/wk · +16% over the last 12 months (latest four quarters averaged against the previous four) — quarterly new-tenancy medians for townhouses in 2019, 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.

Land — for a house, the land is the asset

201 m²

A house's size is its land. An apartment's advertised "size" can include car space and balcony — the two are never comparable and this site never pools them. Lot details and planning controls sit under Explore the area.

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.

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.