| LIST.MY · Taman Villa Indah | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Lorong Vila Indah 2
|
RM720,000
|
RM370
|
1,948 sqft
|
|
2-Sty Terrace |
|
Lorong Vila Indah 2
|
RM730,000
|
RM375
|
1,948 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Lorong Villa Indah 2
|
RM690,000
|
RM354
|
1,948 sqft
|
|
2-Sty Terrace |
|
Lorong Villa Indah 1
|
RM750,000
|
RM385
|
1,948 sqft
|
|
2-Sty Terrace |
Selling in Taman Villa Indah? Homes here sold for a median of RM725,000.
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in 11
Market Snapshot
ResidentialRM725,000
RM372 psfMedian transaction price
Taman Vila Indah, 10Lorong Vila Indah 1Taman Vila Indah14000 Bukit Mertajam, Penang, Malaysia
MapsTaman Villa Indah in Seberang Perai Tengah, Penang recorded 4 subsale transactions between 2021 and 2026, sized between 1,925 and 1,974 sqft, with a median price of RM725K and a median price per square foot (PSF) of RM372.
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 RM725K, with most transactions falling within a stable range of RM703K to RM747K, and a typical market range of RM690K to RM750K.
Most transactions involved cluster house, though some variety exists in the market.
For price per square foot, the median is RM372, with most transactions between RM361 and RM383. The usual range is RM330.26 to RM414.01, showing that most units are priced quite close to each other. With an IQR of RM83.75 and MAD of RM11, 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.