Kaw Kasipillay

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

Property Transactions

4 subsales grouped by size

Median
RM 1,775,000
PSF
RM 254
Price Size
1,250 sqft
2-Sty Terrace
RM 800,000
Jalan Durian
1,270 sqft · RM 630 PSF
6,900 sqft
Bungalow
RM 1,550,000
Jalan Duku
6,888 sqft · RM 225 PSF
7,750 sqft
Bungalow
RM 2,000,000
Jalan Kasipillay
7,775 sqft · RM 257 PSF
11,400 sqft
Bungalow
RM 2,850,000
Jalan Ismail Ghaney
11,380 sqft · RM 250 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,775,000

RM 254 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 2023, with a median price of RM 1.78 million and a median price per square foot (PSF) of RM 254.

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 1.78 million, with most transactions falling within a stable range of RM 1.03 million to RM 2.52 million, and a typical market range of RM 1.11 million to RM 2.44 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 254, though individual units vary from RM 86 to RM 421 in the core range. The broader market spans RM 104.72 to RM 402.97, indicating diverse property characteristics. A wider spread (IQR: RM 298.25) and deviation (MAD: RM 167) 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.