Tg Puteri Apat Stulang Laut

Jln Stulang Laut, 80300 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

5 subsales grouped by size · Condo →

Median
RM 410,000
PSF
RM 320
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Condo
RM 399,000
Level 8
1,184 sqft · RM 337 PSF
1,300 sqft
Condo
RM 420,000
Level 7
1,313 sqft · RM 320 PSF
RM 385,000
Level 14
1,313 sqft · RM 293 PSF
1,400 sqft
Condo
RM 410,000
Level 15
1,399 sqft · RM 293 PSF
4,000 sqft
Bungalow
RM 2,300,000
Jalan Bukit Chagar
3,983 sqft · RM 578 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 410,000

RM 320 psf

Median transaction price

Tg Puteri Apat Stulang Laut
© OpenStreetMap · CARTO

Jln Stulang Laut, 80300 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Tg Puteri Apat Stulang Laut in Johor Bahru, Johor recorded 5 subsale transactions in 2023, with a median price of RM 410K and a median price per square foot (PSF) of RM 320.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 410K, with most transactions falling within a stable range of RM 385K to RM 1.17 million, and a typical market range of RM 385K to RM 452K.

Most transactions involved condominium/apartment, with minimal variety in property types.

Price per square foot shows a median of RM 320, though individual units vary from RM 212 to RM 428 in the core range. The broader market spans RM 294.83 to RM 344.83, indicating diverse property characteristics. A wider spread (IQR: RM 50.00) and deviation (MAD: RM 108) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.