Pelindung Maju 1

Beserah, 25050, Kuantan, Pahang, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 260,000
PSF
RM 201
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM 240,000
Lorong Pelindung Maju 8
1,195 sqft · RM 201 PSF
RM 200,000
Lorong Pelindung Maju 8
1,195 sqft · RM 167 PSF
RM 215,000
Lorong.pelindung Maju 8
1,195 sqft · RM 180 PSF
1,250 sqft
Terrace
RM 260,000
Lorong Pelindung Maju 8
1,259 sqft · RM 206 PSF
RM 275,000
Lorong Pelindung Maju 8
1,227 sqft · RM 224 PSF
1,350 sqft
Terrace
RM 280,000
Lorong Pelindung Maju 1
1,345 sqft · RM 208 PSF
1,450 sqft
Terrace
RM 280,000
Prkgn Pelingung Maju 22
1,453 sqft · RM 193 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 260,000

RM 201 psf

Median transaction price

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PELINDUNG MAJU 1, Beserah, 25050, Kuantan, Pahang, Malaysia

Pelindung Maju 1 in Kuantan, Pahang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 260K and a median price per square foot (PSF) of RM 201.

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 RM 260K, with most transactions falling within a stable range of RM 230K to RM 280K, and a typical market range of RM 230K to RM 280K.

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

For price per square foot, the median is RM 201, with most transactions between RM 183 and RM 218. The usual range is RM 186.37 to RM 215.37, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 29.00 and an average deviation (MAD) of RM 18 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.