Taman Murni Perdana

23100 Paka, Terengganu, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM220,000
Jalan Kmn-Dgn
1,399 sqft · RM157 PSF
RM250,000
Jalan Helang
1,399 sqft · RM179 PSF
RM210,000
Off Jalan Kemaman / Dungun
1,399 sqft · RM150 PSF
RM245,000
Td 67
1,399 sqft · RM175 PSF
RM220,000
Off Jalan Cukai-K.dungun Td (67)
1,399 sqft · RM157 PSF
RM220,000
Off Jalan Cukai-K.dungun Td (67)
1,399 sqft · RM157 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Murni Perdana? Homes here sold for a median of RM220,000.

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Market Snapshot

Residential

RM220,000

RM157 psf

Median transaction price

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Taman Murni Perdana, 23100 Paka, Terengganu, Malaysia

Maps

Taman Murni Perdana in Dungun, Terengganu recorded 6 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM220K and a median price per square foot (PSF) of RM157.

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 RM220K, with most transactions falling within a stable range of RM210K to RM235K, and a typical market range of RM210K to RM250K.

Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM157, with most transactions between RM147 and RM168. The usual range is RM122.47 to RM191.97, showing that most units are priced quite close to each other. With an IQR of RM69.50 and MAD of RM10, 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.