Saujana Gombak

Apartmen Saujana Gombak, Lebuhraya Pinggiran, Taman Pinggiran, 68100 Batu Caves, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size · Condo →

Median
RM 300,000
PSF
RM 328
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM 300,000
Level 3A
915 sqft · RM 328 PSF
RM 270,000
Level 3
912 sqft · RM 296 PSF
RM 340,000
Level 10
915 sqft · RM 372 PSF
RM 270,000
Level 9
912 sqft · RM 296 PSF
RM 300,000
Level 7
915 sqft · RM 328 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 300,000

RM 328 psf

Median transaction price

Saujana Gombak
© OpenStreetMap · CARTO

Apartmen Saujana Gombak, Lebuhraya Pinggiran, Taman Pinggiran, 68100 Batu Caves, Selangor, Malaysia

Maps

Saujana Gombak in Gombak, Selangor recorded 5 subsale transactions in 2021, with a median price of RM 300K and a median price per square foot (PSF) of RM 328.

This area contains both residential and commercial properties. View 16 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 300K, with most transactions falling within a stable range of RM 274K to RM 326K, and a typical market range of RM 282K to RM 319K.

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

For price per square foot, the median is RM 328, with most transactions between RM 300 and RM 356. The usual range is RM 307.64 to RM 348.14, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 40.50 and an average deviation (MAD) of RM 28 indicate a highly stable PSF trend across properties.

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.