Taman Manggis Indah

11000 Balik Pulau, Pulau Pinang, Malaysia

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM460,000
Lorong Permatang Pasir 2
1,270 sqft RM362 PSF
RM390,000
Lorong Permatang Pasir 6
1,270 sqft RM307 PSF
RM400,000
Lorong Permatang Pasir 7
1,270 sqft RM315 PSF
RM370,000
Lorong Permatang Pasir 3
1,270 sqft RM291 PSF
RM340,000
Lorong Permatang Pasir 6
1,270 sqft RM268 PSF
Legend Recent Highest Price Highest PSF

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Nearby areas in C

Taman Manggis Indah

12 txns · RM380,000

12RM380,000
RM301

Taman Mutiara

1 txns · RM490,000

1RM490,000
RM340

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in C

Market Snapshot

Residential

RM390,000

RM307 psf

Median transaction price

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Taman Manggis Indah, 11000 Balik Pulau, Pulau Pinang, Malaysia

Maps

Taman Manggis Indah in Barat Daya, Penang recorded 5 subsale transactions between 2021 and 2026, sized between 1,225 and 1,274 sqft, with a median price of RM390K and a median price per square foot (PSF) of RM307.

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 RM390K, with most transactions falling within a stable range of RM350K to RM430K, and a typical market range of RM340K to RM446K.

Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.

The median PSF stands at RM307, with core pricing between RM276 and RM338. Market pricing typically extends from RM290.30 to RM323.80, reflecting moderate variation in unit pricing. With an IQR of RM33.50 and MAD of RM31, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.