Flat PKNS

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

Property Transactions

4 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM138,000
Level 4
560 sqft RM247 PSF
RM160,000
Level 3
559 sqft RM286 PSF
RM140,000
Level 4
538 sqft RM260 PSF
RM120,000
Level 2
538 sqft RM223 PSF
Legend Recent Highest Price Highest PSF

Selling in Flat Pkns? Homes here sold for a median of RM139,000.

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Market Snapshot

RM139,000

RM253 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 4 subsale transactions between 2021 and 2026, sized between 525 and 574 sqft, with a median price of RM139K and a median price per square foot (PSF) of RM253.

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 RM139K, with most transactions falling within a stable range of RM125K to RM153K, and a typical market range of RM120K to RM160K.

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

For price per square foot, the median is RM253, with most transactions between RM230 and RM276. The usual range is RM143.47 to RM363.22, showing that most units are priced quite close to each other. With an IQR of RM219.75 and MAD of RM23, 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.