Villa Laksamana

Jln Villa Laksamana, Kampung Laksamana, 68100 Batu Caves, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 235,000
PSF
RM 291
Price Size
650 sqft
LC Flat
RM 130,000
Level 3
657 sqft · RM 198 PSF
800 sqft
Condo
RM 235,000
Level 1
807 sqft · RM 291 PSF
RM 200,000
Level 5
807 sqft · RM 248 PSF
RM 235,000
Level G
807 sqft · RM 291 PSF
RM 240,000
Level 2
807 sqft · RM 297 PSF
1,800 sqft
2-Sty Terrace
RM 625,000
Jalan Villa Laksamana
1,798 sqft · RM 348 PSF
RM 848,000
Jalan Villa Laksamana
1,798 sqft · RM 472 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 235,000

RM 291 psf

Median transaction price

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Jln Villa Laksamana, Kampung Laksamana, 68100 Batu Caves, Selangor, Malaysia

Maps

Villa Laksamana in Gombak, Selangor recorded 7 subsale transactions in 2023, with a median price of RM 235K and a median price per square foot (PSF) of RM 291.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 235K, with most transactions falling within a stable range of RM 130K to RM 484K, and a typical market range of RM 185K to RM 285K.

Most transactions involved condominium/apartment, with moderate diversity in property types available.

Price per square foot shows a median of RM 291, though individual units vary from RM 211 to RM 371 in the core range. The broader market spans RM 248.35 to RM 333.85, indicating diverse property characteristics. A wider spread (IQR: RM 85.50) and deviation (MAD: RM 80) 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.