Klsc

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Property Transactions

10 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM900,000
Level 1
1,755 sqft RM513 PSF
RM700,000
Level 2
1,755 sqft RM399 PSF
RM500,000
Level 3
1,755 sqft RM285 PSF
RM430,000
Level 2
1,755 sqft RM245 PSF
RM550,000
Level 1
1,755 sqft RM313 PSF
RM825,000
Level 1
1,755 sqft RM470 PSF
RM550,000
Level 3
1,755 sqft RM313 PSF
RM700,000
Level 1
1,755 sqft RM399 PSF
RM470,000
Level 1
1,733 sqft RM271 PSF
RM400,000
Level 2
1,733 sqft RM231 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Commercial

RM550,000

RM313 psf

Median transaction price

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Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Klsc in Kuala Lumpur, Kuala Lumpur recorded 10 subsale transactions between 2021 and 2026, sized between 1,725 and 1,774 sqft, with a median price of RM550K and a median price per square foot (PSF) of RM313.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM550K, with most transactions falling within a stable range of RM400K to RM712K, and a typical market range of RM400K to RM900K.

Most transactions involved office lot, with high diversity across multiple property types.

Price per square foot shows a median of RM313, though individual units vary from RM222 to RM405 in the core range. The broader market spans RM110.98 to RM515.98, indicating diverse property characteristics. A wider spread (IQR: RM405.00) and deviation (MAD: RM92) indicate significant PSF variations, likely due to diverse property types or conditions.

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.