Taman Paka Perdana ( Td 59 )

Terengganu, Dungun, Kuala Paka

Property Transactions

7 subsales grouped by size · Terrace →

Period
transactions middle 50% (P25–P75)
1,300 sqft
Terrace
RM180,000
Taman Paka Perdana
1,302 sqft · RM138 PSF
RM210,000
Kampung Cacar
1,302 sqft · RM161 PSF
RM220,000
Off Jalan Klinik Kesihatan Paka
1,302 sqft · RM169 PSF
RM200,000
Off Jalan Cukai-K/Dungun
1,302 sqft · RM154 PSF
1,400 sqft
Terrace
RM200,000
Off Jalan Santong
1,410 sqft · RM142 PSF
2,500 sqft
Terrace
RM370,000
Kampung Cacar, Off Jalan Cukai-K/Dungun
2,519 sqft · RM147 PSF
2,750 sqft
Semi-D
RM280,000
Jalan Santong
2,734 sqft · RM102 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Paka Perdana ( Td 59 )? Homes here sold for a median of RM210,000.

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Market Snapshot

Residential

RM210,000

RM147 psf

Median transaction price

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Taman Paka Perdana ( Td 59 ), Dungun, Terengganu

Taman Paka Perdana in Dungun, Terengganu recorded 7 subsale transactions between 2021 and 2026, with a median price of RM210K and a median price per square foot (PSF) of RM147.

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 RM210K, with most transactions falling within a stable range of RM200K to RM220K, and a typical market range of RM185K to RM235K.

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

For price per square foot, the median is RM147, with most transactions between RM138 and RM156. The usual range is RM138.25 to RM155.75, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.50 and an average deviation (MAD) of RM9 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.