Taman Villa Indah

14300 Nibong Tebal, Penang, Malaysia

Property Transactions

9 subsales grouped by size

Period
transactions middle 50% (P25–P75)
RM625,000
Lorong Villa Indah 5
2,788 sqft · RM224 PSF
RM630,000
Lorong Vila Indah 5
2,788 sqft · RM226 PSF
RM620,000
Lorong Villa Indah 5
2,788 sqft · RM222 PSF
RM595,000
Lorong Vila Indah 6
2,788 sqft · RM213 PSF
RM635,000
Lorong Villa Indah 4
2,788 sqft · RM228 PSF
RM580,000
Lorong Vila Indah 5
2,788 sqft · RM208 PSF
2,900 sqft
Semi-D
RM600,000
Lorong Vila Indah 7
2,885 sqft · RM208 PSF
3,400 sqft
Semi-D
RM730,000
Lorong Villa Indah 6
3,412 sqft · RM214 PSF
4,250 sqft
Bungalow
RM960,000
Lorong Villa Indah 5
4,273 sqft · RM225 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM625,000

RM222 psf

Median transaction price

Taman Villa Indah
© OpenStreetMap · CARTO

Taman Villa Indah, 14300 Nibong Tebal, Penang, Malaysia

Maps

Taman Villa Indah in Seberang Perai Selatan, Penang recorded 9 subsale transactions between 2021 and 2026, with a median price of RM625K and a median price per square foot (PSF) of RM222.

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 RM625K, with most transactions falling within a stable range of RM600K to RM650K, and a typical market range of RM608K to RM643K.

Most transactions involved 2 - 2 1/2 storey semi-detached, though some variety exists in the market.

For price per square foot, the median is RM222, with most transactions between RM216 and RM228. The usual range is RM216.39 to RM228.39, showing that most units are priced quite close to each other. A typical spread (IQR) of RM12.00 and an average deviation (MAD) of RM6 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.