Desaria (Sri Merpati)

Desaria Sri Merpati, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

11 subsales grouped by size · LC Flat →

Median
RM 170,000
PSF
RM 306

Property Type

Price Size
500 sqft
LC Flat
RM 170,000
Level 2
506 sqft · RM 336 PSF
RM 155,000
Level 5
506 sqft · RM 306 PSF
RM 130,000
Level 5
506 sqft · RM 257 PSF
RM 155,000
Level 5
506 sqft · RM 306 PSF
RM 150,000
Level 3
506 sqft · RM 297 PSF
RM 150,000
Level 6
506 sqft · RM 297 PSF
RM 180,000
Level 3
506 sqft · RM 356 PSF
600 sqft
LC Flat
RM 195,000
Level 7
624 sqft · RM 312 PSF
RM 220,000
Level 2
624 sqft · RM 352 PSF
RM 260,000
Level 7
624 sqft · RM 416 PSF
RM 190,000
Level 4
624 sqft · RM 304 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 170,000

RM 306 psf

Median transaction price

Desaria (Sri Merpati)
© OpenStreetMap · CARTO

Desaria Sri Merpati, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Desaria (Sri Merpati) in Barat Daya, Penang recorded 11 subsale transactions in 2022, with a median price of RM 170K and a median price per square foot (PSF) of RM 306.

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 134K to RM 206K, and a typical market range of RM 141K to RM 199K.

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

The median PSF stands at RM 306, with core pricing between RM 266 and RM 346. Market pricing typically extends from RM 270.51 to RM 342.26, reflecting moderate variation in unit pricing. With an IQR of RM 71.75 and MAD of RM 40, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.