Taman Gottlieb
10470 George Town, Pulau Pinang, Malaysia
10470 George Town, Pulau Pinang, Malaysia
| Price | PSF | Size | Date | Type |
|---|
|
RM1,300,000
|
RM498
|
2,610 sqft
|
|
Terrace |
|
RM1,550,000
|
RM498
|
3,114 sqft
|
|
Semi-D |
|
RM1,000,000
|
RM448
|
2,232 sqft
|
|
Terrace |
|
RM990,000
|
RM443
|
2,236 sqft
|
|
Terrace |
|
RM1,180,000
|
RM482
|
2,450 sqft
|
|
|
|
RM1,050,000
|
RM382
|
2,746 sqft
|
|
Selling in Taman Gottlieb? Homes here sold for a median of RM1,180,000.
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Taman Gottlieb
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 Georgetown
Market Snapshot
ResidentialRM1,150,000
RM473 psfMedian transaction price
Taman Gottlieb, 10470 George Town, Pulau Pinang, Malaysia
MapsTaman Gottlieb in Timur Laut, Penang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM1.18 million and a median price per square foot (PSF) of RM482.
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 RM1.18 million, with most transactions falling within a stable range of RM1.00 million to RM1.36 million, and a typical market range of RM990K to RM1.38 million.
Most transactions involved 1 - 1 1/2 storey semi-detached, with moderate diversity in property types available.
For price per square foot, the median is RM482, with most transactions between RM448 and RM516. The usual range is RM455.39 to RM507.89, showing that most units are priced quite close to each other. With an IQR of RM52.50 and MAD of RM34, the PSF demonstrates reasonable consistency across the market.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.