Selayang Point

68100 Batu Caves, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

7 subsales found

Median
RM400,000
PSF
RM396
Price Size
Period
transactions middle 50% (P25–P75)
RM410,000
Level 7
1,023 sqft RM401 PSF
RM345,000
Level 12
1,010 sqft RM342 PSF
RM345,000
Level 21
1,118 sqft RM309 PSF
RM400,000
Level 23
969 sqft RM413 PSF
RM400,000
Level 23
1,010 sqft RM396 PSF
RM330,000
Level 7
1,089 sqft RM303 PSF
RM450,000
Level G
761 sqft RM591 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM372,500

RM369 psf

Median transaction price

Average

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Selayang Point
© OpenStreetMap · CARTO

Selayang Point, 68100 Batu Caves, Selangor, Malaysia

Maps

Selayang Point in Gombak, Selangor recorded 7 subsale transactions in 2024, with a median price of RM400K and a median price per square foot (PSF) of RM396.

This area contains both residential and commercial properties. View 19 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM400K, with most transactions falling within a stable range of RM359K to RM441K, and a typical market range of RM366K to RM434K.

Most transactions involved condominium/apartment, though some variety exists in the market.

Price per square foot shows a median of RM396, though individual units vary from RM305 to RM487 in the core range. The broader market spans RM363.22 to RM428.97, indicating diverse property characteristics. The spread of RM65.75 (IQR) and deviation of RM91 (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.