Prima Selayang

68100 Batu Caves, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM 575,000
PSF
RM 329
Price Size
Period
transactions middle 50% (P25–P75)
600 sqft
LC Flat
RM 110,000
Level 7
600 sqft · RM 183 PSF
RM 120,000
Level 5
600 sqft · RM 200 PSF
2,250 sqft
Terrace Factory
RM 1,080,000
Prima Selayang 3
2,250 sqft · RM 480 PSF
RM 1,030,000
Jalan Ps 3
2,250 sqft · RM 458 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 115,000

RM 192 psf

Median transaction price

RM 1,055,000

RM 469 psf

Median transaction price

High

Rental Yield Data

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Prima Selayang
© OpenStreetMap · CARTO

Prima Selayang, 68100 Batu Caves, Selangor, Malaysia

Maps

Prima Selayang in Gombak, Selangor recorded 4 subsale transactions in 2024, with a median price of RM 575K and a median price per square foot (PSF) of RM 329.

This area contains both residential and commercial properties. View 24 residential properties or 8 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 575K, with most transactions falling within a stable range of RM 110K to RM 1.05 million, and a typical market range of RM 519K to RM 631K.

Most transactions involved low-cost flat, with high diversity across multiple property types.

Price per square foot shows a median of RM 329, though individual units vary from RM 190 to RM 468 in the core range. The broader market spans RM 285.18 to RM 372.68, indicating diverse property characteristics. A wider spread (IQR: RM 87.50) and deviation (MAD: RM 139) 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.