Flat PKNS

Blok G, Flat PKNS, Jalan AU 1b/1, Taman Keramat Permai, 54200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

2 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM520,000
Jalan AU 1C/3H
1,249 sqft RM416 PSF
RM800,000
Jalan Enggang Timur 10
1,249 sqft RM641 PSF
Legend Recent Highest Price Highest PSF

Selling in Flat Pkns? Homes here sold for a median of RM660,000.

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Market Snapshot

RM660,000

RM529 psf

Median transaction price

RM500,000

RM314 psf

Median transaction price

Taman Keramat Permai
© OpenStreetMap · CARTO

Blok G, Flat PKNS, Jalan AU 1b/1, Taman Keramat Permai, 54200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Flat PKNS in Gombak, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 1,225 and 1,274 sqft, with a median price of RM660K and a median price per square foot (PSF) of RM529.

This area contains both residential and commercial properties. View 37 residential properties or 9 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM660K, with most transactions falling within a stable range of RM520K to RM800K, and a typical market range of RM520K to RM800K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

Price per square foot shows a median of RM529, though individual units vary from RM416 to RM641 in the core range. The broader market spans RM418.72 to RM638.47, indicating diverse property characteristics. The spread of RM219.75 (IQR) and deviation of RM112 (MAD) suggest moderate price variations reflecting different property features.

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.