Taman Persiaran Desa

Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 1,150,000
PSF
RM 661
Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
2-Sty Terrace
RM 1,390,000
Persiaran Syed Putra 4
1,561 sqft · RM 891 PSF
RM 1,150,000
Persiaran Syed Putra 3
1,561 sqft · RM 737 PSF
RM 1,000,000
Jalan. Persiaran Syed Putra 4
1,561 sqft · RM 641 PSF
1,650 sqft
2-Sty Terrace
RM 1,000,000
Persiaran Syed Putra 5
1,625 sqft · RM 615 PSF
2,550 sqft
2-Sty Terrace
RM 1,700,000
Persiaran Syed Putra 5
2,573 sqft · RM 661 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,150,000

RM 661 psf

Median transaction price

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Taman Persiaran Desa, Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Persiaran Desa in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions between 2021 and 2026, with a median price of RM 1.15 million and a median price per square foot (PSF) of RM 661.

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 1.15 million, with most transactions falling within a stable range of RM 1.00 million to RM 1.42 million, and a typical market range of RM 1.03 million to RM 1.27 million.

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

The median PSF stands at RM 661, with core pricing between RM 561 and RM 760. Market pricing typically extends from RM 591.32 to RM 730.32, reflecting moderate variation in unit pricing. The spread of RM 139.00 (IQR) and deviation of RM 100 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.