Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Td 67
|
RM300,000
|
RM249
|
1,206 sqft
|
|
|
|
Jalan Santong
|
RM335,000
|
RM278
|
1,206 sqft
|
|
|
|
Taman Murni Perdana,Td 67
|
RM300,000
|
RM247
|
1,216 sqft
|
|
|
|
Jalan Santong
|
RM260,000
|
RM216
|
1,206 sqft
|
|
|
Taman Murni Perdana,Td 67
|
RM330,000
|
RM217
|
1,518 sqft
|
|
Selling in Taman Murni Perdana? Homes here sold for a median of RM300,000.
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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 Kuala Paka
Market Snapshot
ResidentialRM300,000
RM247 psfMedian transaction price
Taman Murni Perdana, 23100 Paka, Terengganu, Malaysia
MapsTaman Murni Perdana in Dungun, Terengganu recorded 5 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM300K and a median price per square foot (PSF) of RM247.
This area contains both residential and commercial properties. View 59 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM300K, with most transactions falling within a stable range of RM273K to RM327K, and a typical market range of RM260K to RM335K.
Within the Double Storey Terraced category, 1 - 1 1/2 storey terraced dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM247, with most transactions between RM224 and RM270. The usual range is RM211.90 to RM281.40, showing that most units are priced quite close to each other. With an IQR of RM69.50 and MAD of RM23, 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.