Selayang Heights

68100 Batu Caves, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

9 subsales grouped by size

Median
RM 153,000
PSF
RM 237
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 170,000
Level 2
646 sqft · RM 263 PSF
RM 153,000
Level 3
646 sqft · RM 237 PSF
RM 153,000
Level 12
646 sqft · RM 237 PSF
RM 150,000
Level 2
646 sqft · RM 232 PSF
RM 150,000
Level 4
646 sqft · RM 232 PSF
RM 160,000
Level 10
646 sqft · RM 248 PSF
+3 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 153,000

RM 237 psf

Median transaction price

Selayang Heights
© OpenStreetMap · CARTO

Selayang Heights, 68100 Batu Caves, Selangor, Malaysia

Maps

Selayang Heights in Gombak, Selangor recorded 9 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 153K and a median price per square foot (PSF) of RM 237.

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 153K, with most transactions falling within a stable range of RM 143K to RM 163K, and a typical market range of RM 130K to RM 170K.

Within the Low-Cost Flat category, condominium/apartment dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM 237, with most transactions between RM 221 and RM 253. The usual range is RM 203.03 to RM 270.78, showing that most units are priced quite close to each other. With an IQR of RM 67.75 and MAD of RM 16, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.