Sek.5 Kota D'sara-Carlina

Blok B, Pangsapuri Carlina, 8, Jalan Sepah Puteri 5/1, Seksyen 5 Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM 332,500
PSF
RM 417
Price Size
800 sqft
Flat
RM 300,000
Level 4
797 sqft · RM 377 PSF
RM 315,000
Level 3
797 sqft · RM 395 PSF
RM 360,000
Level 6
797 sqft · RM 452 PSF
RM 360,000
Level 6
797 sqft · RM 452 PSF
RM 350,000
Level 2
797 sqft · RM 439 PSF
RM 300,000
Level 6
797 sqft · RM 377 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 332,500

RM 417 psf

Median transaction price

Sek.5 Kota D'sara-Carlina
© OpenStreetMap · CARTO

Blok B, Pangsapuri Carlina, 8, Jalan Sepah Puteri 5/1, Seksyen 5 Kota Damansara, 47810 Petaling Jaya, Selangor, Malaysia

Maps

Sek.5 Kota D'sara-Carlina in Petaling, Selangor recorded 6 Flat properties subsale transactions between 2021 and 2026, with a median price of RM 333K and a median price per square foot (PSF) of RM 417.

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 333K, with most transactions falling within a stable range of RM 306K to RM 359K, and a typical market range of RM 308K to RM 358K.

Within the Flat category, condominium/apartment dominated the market, though some variety exists in the market.

For price per square foot, the median is RM 417, with most transactions between RM 384 and RM 451. The usual range is RM 386.44 to RM 448.44, showing that most units are priced quite close to each other. With an IQR of RM 62.00 and MAD of RM 33, 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.