Pandan Residensi 3 (Pl 42527)

Pahang, Kuantan, Kuala Kuantan

Property Transactions

17 subsales grouped by size

Median
RM262,000
PSF
RM184
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM265,000
Lorong Kps 2/28
1,399 sqft · RM189 PSF
RM260,000
Lorong Kps 2/28
1,399 sqft · RM186 PSF
RM253,000
Lorong Kps 2/27
1,399 sqft · RM181 PSF
RM260,000
Lorong Kps 2/27
1,410 sqft · RM184 PSF
RM273,000
Lorong Kps 2/28
1,399 sqft · RM195 PSF
RM245,000
Lorong Kps 2/28
1,399 sqft · RM175 PSF
+8 more
2,550 sqft
Terrace
RM280,000
Lorong Kps 2/29
2,573 sqft · RM109 PSF
2,650 sqft
Terrace
RM360,000
Lorong Kps 2/28
2,648 sqft · RM136 PSF
2,700 sqft
Terrace
RM335,000
Lorong Kps 2/28
2,713 sqft · RM124 PSF
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Market Snapshot

Residential

RM262,000

RM184 psf

Median transaction price

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Pandan Residensi 3 (Pl 42527), Kuantan, Pahang

Pandan Residensi 3 (Pl 42527) in Kuantan, Pahang recorded 17 subsale transactions between 2021 and 2026, with a median price of RM262K and a median price per square foot (PSF) of RM184.

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 RM262K, with most transactions falling within a stable range of RM251K to RM273K, and a typical market range of RM252K to RM272K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM184, with most transactions between RM173 and RM195. The usual range is RM173.89 to RM194.89, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.00 and an average deviation (MAD) of RM11 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.