Kaw Kasipillay

Pudu, 55200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 1,875,000
PSF
RM 367
Price Size
1,500 sqft
2-Sty Terrace
RM 850,000
Jalan Bachang Off Jalan Ipoh
1,496 sqft · RM 568 PSF
4,750 sqft
Semi-D
RM 1,550,000
Jalan Pipit
4,756 sqft · RM 326 PSF
5,400 sqft
Semi-D
RM 2,200,000
Jalan Kasipillay
5,403 sqft · RM 407 PSF
12,600 sqft
Bungalow
RM 3,000,000
Jalan Kovil Hilir
12,578 sqft · RM 239 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,875,000

RM 367 psf

Median transaction price

Kaw Kasipillay
© OpenStreetMap · CARTO

Pudu, 55200 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Kaw Kasipillay in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2022, with a median price of RM 1.88 million and a median price per square foot (PSF) of RM 367.

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 1.88 million, with most transactions falling within a stable range of RM 1.08 million to RM 2.67 million, and a typical market range of RM 1.21 million to RM 2.54 million.

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

Price per square foot shows a median of RM 367, though individual units vary from RM 245 to RM 488 in the core range. The broader market spans RM 217.39 to RM 515.65, indicating diverse property characteristics. A wider spread (IQR: RM 298.25) and deviation (MAD: RM 121) 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.