Rampai Idaman Prima Damansara

Flat Rampai Idaman, Prima Damansara, Damansara Damai, 47830 Petaling Jaya, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

15 subsales grouped by size

Median
RM 165,000
PSF
RM 251
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 200,000
Level 2
657 sqft · RM 305 PSF
RM 160,000
Level 2
657 sqft · RM 244 PSF
RM 128,000
Level 2
657 sqft · RM 195 PSF
RM 166,000
Level 4
657 sqft · RM 253 PSF
RM 175,000
Level 1
657 sqft · RM 267 PSF
RM 190,000
Level 2
657 sqft · RM 289 PSF
+9 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 165,000

RM 251 psf

Median transaction price

Rampai Idaman Prima Damansara
© OpenStreetMap · CARTO

Flat Rampai Idaman, Prima Damansara, Damansara Damai, 47830 Petaling Jaya, Selangor, Malaysia

Maps

Rampai Idaman Prima Damansara in Petaling, Selangor recorded 15 subsale transactions between 2021 and 2026, with a median price of RM 165K and a median price per square foot (PSF) of RM 251.

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 165K, with most transactions falling within a stable range of RM 128K to RM 200K, and a typical market range of RM 149K to RM 182K.

Most transactions involved low-cost flat, with minimal variety in property types.

Price per square foot shows a median of RM 251, though individual units vary from RM 195 to RM 308 in the core range. The broader market spans RM 227.04 to RM 275.54, indicating diverse property characteristics. The spread of RM 48.50 (IQR) and deviation of RM 57 (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.