Skypark Subang Terminal

M17, Sultan Abdul Aziz Shah Airport (SZB), Skypark Subang Terminal, 47200 Subang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 860,000
PSF
RM 494
Price Size
Period
transactions middle 50% (P25–P75)
1,350 sqft
Condo
RM 750,000
Level 7
1,367 sqft · RM 549 PSF
1,650 sqft
Condo
RM 825,000
Level 6
1,668 sqft · RM 494 PSF
RM 740,000
Level 8
1,668 sqft · RM 444 PSF
RM 935,000
Level 3
1,668 sqft · RM 560 PSF
RM 1,180,000
Level 9
1,668 sqft · RM 707 PSF
1,800 sqft
Condo
RM 860,000
Level 1
1,808 sqft · RM 476 PSF
2,850 sqft
Condo
RM 1,150,000
Level 3
2,874 sqft · RM 400 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 860,000

RM 494 psf

Median transaction price

Subang Airport Bunga Raya Kondominium
© OpenStreetMap · CARTO

M17, Sultan Abdul Aziz Shah Airport (SZB), Skypark Subang Terminal, 47200 Subang, Selangor, Malaysia

Maps

Skypark Subang Terminal in Petaling, Selangor recorded 7 subsale transactions in 2022, with a median price of RM 860K and a median price per square foot (PSF) of RM 494.

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 860K, with most transactions falling within a stable range of RM 740K to RM 1.03 million, and a typical market range of RM 799K to RM 921K.

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

The median PSF stands at RM 494, with core pricing between RM 402 and RM 587. Market pricing typically extends from RM 453.36 to RM 535.61, reflecting moderate variation in unit pricing. The spread of RM 82.25 (IQR) and deviation of RM 93 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.