Bandar Pinggiran Subang

Pekan Baru Subang, Pekan Subang, 47200 Subang, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 549,500
PSF
RM 528
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
Condo
RM 549,000
Level 5
1,001 sqft · RM 548 PSF
RM 498,000
Level 9
1,001 sqft · RM 497 PSF
RM 550,000
Level 8
1,001 sqft · RM 549 PSF
1,200 sqft
Condo
RM 615,000
Level 8
1,213 sqft · RM 507 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 549,500

RM 528 psf

Median transaction price

RM 980,000

RM 510 psf

Median transaction price

Bandar Pinggiran Subang
© OpenStreetMap · CARTO

Pekan Baru Subang, Pekan Subang, 47200 Subang, Selangor, Malaysia

Maps

Bandar Pinggiran Subang in Petaling, Selangor recorded 4 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM 550K and a median price per square foot (PSF) of RM 528.

This area contains both residential and commercial properties. View 20 residential properties or 13 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 550K, with most transactions falling within a stable range of RM 508K to RM 591K, and a typical market range of RM 498K to RM 615K.

Within the Condo/Apartment category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM 528, with most transactions between RM 504 and RM 551. The usual range is RM 462.03 to RM 593.03, showing that most units are priced quite close to each other. With an IQR of RM 131.00 and MAD of RM 23, the PSF demonstrates reasonable consistency across the market.

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.