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
RM 600,000
PSF
RM 340
Period
transactions middle 50% (P25–P75)
RM 685,000
3,104 sqft
RM 221 PSF
RM 600,000
1,648 sqft
RM 364 PSF
RM 551,000
1,648 sqft
RM 334 PSF
RM 670,000
1,647 sqft
RM 407 PSF
RM 500,000
1,645 sqft
RM 304 PSF
RM 610,000
1,652 sqft
RM 369 PSF
RM 600,000
1,765 sqft
RM 340 PSF
RM 600,000
1,766 sqft
RM 340 PSF
RM 630,000
1,647 sqft
RM 383 PSF
RM 550,000
1,660 sqft
RM 331 PSF
RM 488,000
1,647 sqft
RM 296 PSF
RM 540,000
1,650 sqft
RM 327 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 600,000

RM 337 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 RM 600K and a median price per square foot (PSF) of RM 340.

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 600K, with most transactions falling within a stable range of RM 551K to RM 650K, and a typical market range of RM 566K to RM 634K.

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

For price per square foot, the median is RM 340, with most transactions between RM 310 and RM 369. The usual range is RM 317.76 to RM 361.76, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 44.00 and an average deviation (MAD) of RM 30 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.