Taman Segambut Damai

51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 500,000
PSF
RM 278
Price Size
Period
transactions middle 50% (P25–P75)
1,650 sqft
2-Sty Shop
RM 500,000
Jalan 1/60B
1,658 sqft · RM 302 PSF
1,950 sqft
2-Sty Shop
RM 500,000
Jalan 1/60B
1,959 sqft · RM 255 PSF
2,100 sqft
2-Sty Shop
RM 639,000
Jalan 1/60B
2,120 sqft · RM 301 PSF
RM 498,000
Jalan 1/60B
2,120 sqft · RM 235 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 450,000

RM 568 psf

Median transaction price

Taman Segambut Damai
© OpenStreetMap · CARTO

Taman Segambut Damai, 51200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Segambut Damai in Kuala Lumpur, Kuala Lumpur recorded 4 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM 500K and a median price per square foot (PSF) of RM 278.

This area contains both residential and commercial properties. View 10 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 500K, with most transactions falling within a stable range of RM 498K to RM 560K, and a typical market range of RM 498K to RM 555K.

Within the Double Storey Shop category, 2 - 2 1/2 storey terraced dominated the market, though some variety exists in the market.

The median PSF stands at RM 278, with core pricing between RM 249 and RM 307. Market pricing typically extends from RM 205.79 to RM 350.79, reflecting moderate variation in unit pricing. With an IQR of RM 145.00 and MAD of RM 29, the PSF demonstrates reasonable consistency across the market.

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.