Flat PKNS

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

Property Transactions

3 subsales grouped by size

Median
RM 550,000
PSF
RM 300
Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
Terrace
RM 450,000
Jalan AU 1C/2E
1,500 sqft · RM 300 PSF
RM 550,000
Jalan AU 1C/2A
1,500 sqft · RM 367 PSF
3,650 sqft
Terrace
RM 800,000
Jalan AU 1C/2E
3,649 sqft · RM 219 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 550,000

RM 300 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 3 Single Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 550K and a median price per square foot (PSF) of RM 300.

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 550K, with most transactions falling within a stable range of RM 450K to RM 697K, and a typical market range of RM 450K to RM 658K.

Within the Single Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.

Price per square foot shows a median of RM 300, though individual units vary from RM 240 to RM 360 in the core range. The broader market spans RM 225.64 to RM 374.39, indicating diverse property characteristics. The spread of RM 148.75 (IQR) and deviation of RM 60 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.