Wangsa Permai

63, Jalan Wangsa 3/3, Taman Wangsa Permai, 52200 Kuala Lumpur, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

11 subsales grouped by size

Median
RM 340,000
PSF
RM 393
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Townhouse
RM 350,000
Level G
865 sqft · RM 405 PSF
RM 300,000
Level G
865 sqft · RM 347 PSF
RM 360,000
Level G
865 sqft · RM 416 PSF
RM 295,000
Level 1
865 sqft · RM 341 PSF
RM 395,000
Level 1
865 sqft · RM 457 PSF
RM 340,000
Level 1
865 sqft · RM 393 PSF
+5 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 340,000

RM 393 psf

Median transaction price

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63, Jalan Wangsa 3/3, Taman Wangsa Permai, 52200 Kuala Lumpur, Selangor, Malaysia

Maps

Wangsa Permai in Gombak, Selangor recorded 11 Town House properties subsale transactions between 2021 and 2026, with a median price of RM 340K and a median price per square foot (PSF) of RM 393.

This area contains both residential and commercial properties. View 187 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 340K, with most transactions falling within a stable range of RM 304K to RM 376K, and a typical market range of RM 295K to RM 400K.

Within the Town House category, condominium/apartment dominated the market, with high diversity across multiple property types.

The median PSF stands at RM 393, with core pricing between RM 352 and RM 435. Market pricing typically extends from RM 297.12 to RM 489.12, reflecting moderate variation in unit pricing. With an IQR of RM 192.00 and MAD of RM 41, 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.