Puncak Desa

23, Jalan Puncak Desa 1, Taman Sri Ehsan, 52100 Kuala Lumpur, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM 132,500
PSF
RM 204
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 125,000
Level 2
650 sqft · RM 192 PSF
RM 140,000
Level 13
650 sqft · RM 215 PSF
RM 118,000
Level 11
650 sqft · RM 182 PSF
RM 145,000
Level 11
650 sqft · RM 223 PSF
RM 155,000
Level 13
650 sqft · RM 238 PSF
RM 110,000
Level 3
650 sqft · RM 169 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 132,500

RM 204 psf

Median transaction price

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23, Jalan Puncak Desa 1, Taman Sri Ehsan, 52100 Kuala Lumpur, Selangor, Malaysia

Maps

Puncak Desa in Gombak, Selangor recorded 6 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 133K and a median price per square foot (PSF) of RM 204.

This area contains both residential and commercial properties. View 57 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 133K, with most transactions falling within a stable range of RM 117K to RM 148K, and a typical market range of RM 110K to RM 155K.

Within the Low-Cost Flat category, condominium/apartment dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 204, with core pricing between RM 180 and RM 228. Market pricing typically extends from RM 158.12 to RM 249.62, reflecting moderate variation in unit pricing. With an IQR of RM 91.50 and MAD of RM 24, 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.