Palm Spring @ Damansara

Seksyen 13, Shah Alam, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

10 subsales grouped by size

Median
RM 525,000
PSF
RM 531
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM 500,000
Level 2
915 sqft · RM 546 PSF
950 sqft
Condo
RM 550,000
Level 9
936 sqft · RM 587 PSF
RM 330,000
Level 4
936 sqft · RM 352 PSF
1,000 sqft
Condo
RM 382,000
Level 8
1,023 sqft · RM 374 PSF
RM 600,000
Level 18
1,023 sqft · RM 587 PSF
RM 600,000
Level 10
1,023 sqft · RM 587 PSF
RM 380,000
Level 15
1,023 sqft · RM 372 PSF
1,200 sqft
Condo
RM 630,000
Level 16
1,206 sqft · RM 523 PSF
RM 650,000
Level 8
1,206 sqft · RM 539 PSF
1,250 sqft
Condo
RM 425,000
Level 14
1,259 sqft · RM 337 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 525,000

RM 531 psf

Median transaction price

Average

Rental Yield Data

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Palm Spring @ Damansara in Petaling, Selangor recorded 10 subsale transactions in 2025, with a median price of RM 525K and a median price per square foot (PSF) of RM 531.

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 525K, with most transactions falling within a stable range of RM 413K to RM 637K, and a typical market range of RM 465K to RM 585K.

Most transactions involved condominium/apartment, with minimal variety in property types.

The median PSF stands at RM 531, with core pricing between RM 429 and RM 633. Market pricing typically extends from RM 466.12 to RM 595.62, reflecting moderate variation in unit pricing. The spread of RM 129.50 (IQR) and deviation of RM 102 (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. 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.