Bandar Baru Selayang Sungai Tua

Jln Sungai Tua, 68100 Batu Caves, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM100,000
Level 1
484 sqft RM206 PSF
RM500,000
Jalan 4/4
1,399 sqft RM357 PSF
RM450,000
Jalan 4/10
1,195 sqft RM377 PSF
RM150,000
Level 3
657 sqft RM228 PSF
RM480,000
Jalan 4/1
1,195 sqft RM402 PSF
RM160,000
Level 3
710 sqft RM225 PSF
RM105,000
Level 2
463 sqft RM227 PSF
RM100,000
Level 4
484 sqft RM206 PSF
Legend Recent Highest Price Highest PSF

Selling in Bandar Baru Selayang Sungai Tua? Homes here sold for a median of RM155,000.

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Market Snapshot

Residential

RM155,000

RM228 psf

Median transaction price

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Jln Sungai Tua, 68100 Batu Caves, Selangor, Malaysia

Maps

Bandar Baru Selayang Sungai Tua in Gombak, Selangor recorded 8 subsale transactions in 2022, with a median price of RM155K and a median price per square foot (PSF) of RM228.

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 RM155K, with most transactions falling within a stable range of RM100K to RM328K, and a typical market range of RM100K to RM319K.

Most transactions involved low-cost flat, with moderate diversity in property types available.

Price per square foot shows a median of RM228, though individual units vary from RM149 to RM306 in the core range. The broader market spans RM166.15 to RM289.15, indicating diverse property characteristics. A wider spread (IQR: RM123.00) and deviation (MAD: RM79) 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.