2/2 Kings La · Darlinghurst NSW 2010

Darlinghurst suburb intelligence · all Sydney suburbs

Darlinghurst suburb ← Back to board
← swipe · 10 photos

Currently listed

3 bed · 2 bath · 2 car · ApartmentUnitFlat

View the live listing →

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

CONSERVATIVE
$3.15M
the calibrated floor
LIKELY FAIR RANGE
$3.15M–$4.25M
around $3.71M mid
STRETCH CAP
$4.25M
$6M on the wider 80% band

Confidence: Low — based on 193 comparable auction sales (3 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

What we've tracked

  • 18 July 2026 auction: Passed in at $5.8M ( The Agency)
  • 14 Aug 2026 our tracking restarted after a six-week portal gap — the campaign start is unknown, this is not a listing date

Suburb risk flags

crime index: 100 — well above sydney average · 11 min walk to Kings Cross · ~5 min train to the CBD · trains ~every 4 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
  • 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

Rent evidence — asking vs transacted, Darlinghurst · postcode 2010

$1370–$1800/wk is what 3-bed units in 2010 actually transact for (middle half of 21 bonds lodged, Q2 2026 · median $1500/wk — NSW Fair Trading, CC BY).


2019Q1 → 2026Q2: $600 → $825/wk · +5% over the last 12 months (latest four quarters averaged against the previous four) — quarterly new-tenancy medians for units in 2010, 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 — Darlinghurst units at auction

Measured like-for-like growth ≈ 0.4%/yr — 2-bed sold-price medians across 16 quarters (53 sales).

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
18 July 2026Passed in$5,800,000 The Agency

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.

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.