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 185,000
PSF
RM 258
Price Size
650 sqft
Office
RM 170,000
Level 3
664 sqft · RM 256 PSF
700 sqft
Office
RM 185,000
Level 1
716 sqft · RM 258 PSF
950 sqft
Office
RM 270,000
Level 1
958 sqft · RM 282 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

RM 520,000

RM 361 psf

Median transaction price

RM 185,000

RM 258 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 Office Lot properties subsale transactions between 2021 and 2026, with a median price of RM 185K and a median price per square foot (PSF) of RM 258.

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 RM 185K, with most transactions falling within a stable range of RM 170K to RM 229K, and a typical market range of RM 170K to RM 270K.

Within the Office Lot category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM 258, with most transactions between RM 247 and RM 270. The usual range is RM 148.54 to RM 368.29, showing that most units are priced quite close to each other. With an IQR of RM 219.75 and MAD of RM 12, 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.