Taman Sri Delima (Pkns Housing Scheme)

Taman Sri Delima, 52000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

12 subsales grouped by road

Median
RM600,000
PSF
RM340
Period
transactions middle 50% (P25–P75)
RM685,000
3,104 sqft
RM221 PSF
RM600,000
1,648 sqft
RM364 PSF
RM551,000
1,648 sqft
RM334 PSF
RM670,000
1,647 sqft
RM407 PSF
RM500,000
1,645 sqft
RM304 PSF
RM610,000
1,652 sqft
RM369 PSF
RM600,000
1,765 sqft
RM340 PSF
RM600,000
1,766 sqft
RM340 PSF
RM630,000
1,647 sqft
RM383 PSF
RM550,000
1,660 sqft
RM331 PSF
RM488,000
1,647 sqft
RM296 PSF
RM540,000
1,650 sqft
RM327 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM600,000

RM337 psf

Median transaction price

Taman Sri Delima (Pkns Housing Scheme)
© OpenStreetMap · CARTO

Taman Sri Delima, 52000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Sri Delima (Pkns Housing Scheme) in Kuala Lumpur, Kuala Lumpur recorded 12 subsale transactions between 2021 and 2026, with a median price of RM600K and a median price per square foot (PSF) of RM340.

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 RM600K, with most transactions falling within a stable range of RM551K to RM650K, and a typical market range of RM566K to RM634K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM340, with most transactions between RM310 and RM369. The usual range is RM317.76 to RM361.76, showing that most units are priced quite close to each other. A typical spread (IQR) of RM44.00 and an average deviation (MAD) of RM30 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.