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

13 subsales grouped by size

Median
RM 170,000
PSF
RM 259
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 175,000
Level 1
657 sqft · RM 267 PSF
RM 190,000
Level 2
657 sqft · RM 289 PSF
RM 42,000
Level 2
657 sqft · RM 64 PSF
RM 165,000
Level 2
657 sqft · RM 251 PSF
RM 125,000
Level 1
657 sqft · RM 190 PSF
RM 155,000
Level 1
657 sqft · RM 236 PSF
+7 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 170,000

RM 259 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 13 subsale transactions in 2023, with a median price of RM 170K and a median price per square foot (PSF) of RM 259.

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 170K, with most transactions falling within a stable range of RM 131K to RM 190K, and a typical market range of RM 154K to RM 187K.

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

Price per square foot shows a median of RM 259, though individual units vary from RM 199 to RM 318 in the core range. The broader market spans RM 234.66 to RM 283.16, indicating diverse property characteristics. The spread of RM 48.50 (IQR) and deviation of RM 59 (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.