Taman Tunas Idaman- Idaman Lavender

10920, Lilitan Sungai Ara, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM 345,000
PSF
RM 451
Price Size
transactions middle 50% (P25–P75)
750 sqft
Flat
RM 350,000
Level 1
764 sqft · RM 458 PSF
RM 325,000
Level 4
764 sqft · RM 425 PSF
RM 340,000
Level 13
764 sqft · RM 445 PSF
RM 360,000
Level 10
764 sqft · RM 471 PSF
RM 310,000
Level 7
764 sqft · RM 406 PSF
RM 370,000
Level 10
764 sqft · RM 484 PSF
RM 350,000
Level 8
764 sqft · RM 458 PSF
RM 340,000
Level 2
764 sqft · RM 445 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 345,000

RM 451 psf

Median transaction price

Taman Tunas Idaman- Idaman Lavender
© OpenStreetMap · CARTO

10920, Lilitan Sungai Ara, Sungai Ara, 11900 Bayan Lepas, Pulau Pinang, Malaysia

Maps

Taman Tunas Idaman- Idaman Lavender in Barat Daya, Penang recorded 8 subsale transactions in 2022, with a median price of RM 345K and a median price per square foot (PSF) of RM 451.

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 345K, with most transactions falling within a stable range of RM 327K to RM 363K, and a typical market range of RM 329K to RM 361K.

Most transactions involved flats, with minimal variety in property types.

For price per square foot, the median is RM 451, with most transactions between RM 428 and RM 475. The usual range is RM 429.93 to RM 472.93, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 43.00 and an average deviation (MAD) of RM 23 indicate a highly stable PSF trend across properties.

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.