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 grouped by size · 2-Sty Terrace →

Median
RM 610,000
PSF
RM 468
Price Size
Period
transactions middle 50% (P25–P75)
1,000 sqft
2-Sty Terrace
RM 480,000
Jalan AU1B/2C
1,012 sqft · RM 474 PSF
1,250 sqft
2-Sty Terrace
RM 650,000
Jalan AU 1C/3G
1,249 sqft · RM 521 PSF
1,400 sqft
2-Sty Terrace
RM 645,000
Jalan AU 1C/3K
1,399 sqft · RM 461 PSF
1,850 sqft
2-Sty Terrace
RM 575,000
Jalan AU1B/1
1,851 sqft · RM 311 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 610,000

RM 468 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, with a median price of RM 610K and a median price per square foot (PSF) of RM 468.

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 610K, with most transactions falling within a stable range of RM 541K to RM 650K, and a typical market range of RM 503K to RM 650K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM 468, with core pricing between RM 389 and RM 547. Market pricing typically extends from RM 393.30 to RM 542.05, reflecting moderate variation in unit pricing. The spread of RM 148.75 (IQR) and deviation of RM 79 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.