Bandar Bukit Puchong (Andira Park)

37, Jln AP2, Bandar Bukit Puchong 2, 47120 Puchong, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 780,000
PSF
RM 465
Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
2-Sty Terrace
RM 730,000
Jalan Ap 3
1,572 sqft · RM 465 PSF
RM 780,000
Jalan Ap 2
1,572 sqft · RM 496 PSF
1,800 sqft
2-Sty Terrace
RM 1,300,000
Jalan Ap 2
1,787 sqft · RM 728 PSF
RM 745,000
Jalan Ap 3
1,787 sqft · RM 417 PSF
2,100 sqft
2-Sty Terrace
RM 900,000
Jalan Ap 3
2,099 sqft · RM 429 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 780,000

RM 465 psf

Median transaction price

Bandar Bukit Puchong (Andira Park)
© OpenStreetMap · CARTO

37, Jln AP2, Bandar Bukit Puchong 2, 47120 Puchong, Selangor, Malaysia

Maps

Bandar Bukit Puchong (Andira Park) in Sepang, Selangor recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 780K and a median price per square foot (PSF) of RM 465.

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 780K, with most transactions falling within a stable range of RM 730K to RM 993K, and a typical market range of RM 756K to RM 804K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

Price per square foot shows a median of RM 465, though individual units vary from RM 351 to RM 578 in the core range. The broader market spans RM 385.52 to RM 543.52, indicating diverse property characteristics. The spread of RM 158.00 (IQR) and deviation of RM 114 (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.