Selayang Heights

68100 Batu Caves, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM 370,000
PSF
RM 311
Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
Townhouse
RM 345,000
Level 4
1,109 sqft · RM 311 PSF
RM 340,000
Level 1
1,109 sqft · RM 307 PSF
1,150 sqft
Townhouse
RM 370,000
Level 1
1,130 sqft · RM 327 PSF
RM 370,000
Level 3
1,130 sqft · RM 327 PSF
1,750 sqft
Townhouse
RM 445,000
Level 2
1,733 sqft · RM 257 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 370,000

RM 311 psf

Median transaction price

Selayang Heights
© OpenStreetMap · CARTO

Selayang Heights, 68100 Batu Caves, Selangor, Malaysia

Maps

Selayang Heights in Gombak, Selangor recorded 5 Town House properties subsale transactions between 2021 and 2026, with a median price of RM 370K and a median price per square foot (PSF) of RM 311.

This area contains both residential and commercial properties. View 69 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 370K, with most transactions falling within a stable range of RM 340K to RM 408K, and a typical market range of RM 340K to RM 444K.

Within the Town House category, condominium/apartment dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM 311, with most transactions between RM 285 and RM 337. The usual range is RM 277.31 to RM 345.06, showing that most units are priced quite close to each other. With an IQR of RM 67.75 and MAD of RM 26, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.