Taman Tunas Idaman- Idaman Lavender

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

Property Transactions

4 subsales grouped by size

Median
RM 355,000
PSF
RM 465
Price Size
750 sqft
Flat
RM 340,000
Level 9
764 sqft · RM 445 PSF
RM 370,000
Level 10
764 sqft · RM 484 PSF
RM 370,000
Level 6
764 sqft · RM 484 PSF
RM 328,000
Level 9
764 sqft · RM 429 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Tunas Idaman- Idaman Lavender

What’s happening in Taman Tunas Idaman- Idaman Lavender?

No posts about Taman Tunas Idaman- Idaman Lavender yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 355,000

RM 465 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 4 subsale transactions in 2021, with a median price of RM 355K and a median price per square foot (PSF) of RM 465.

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 355K, with most transactions falling within a stable range of RM 337K to RM 370K, and a typical market range of RM 339K to RM 370K.

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

For price per square foot, the median is RM 465, with most transactions between RM 440 and RM 489. The usual range is RM 443.01 to RM 486.01, 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 24 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.