Dato' Rashid

26100 Kuantan, Pahang, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
LC House
RM240,000
Jalan Dato Abdul Rashid Salleh 3
1,076 sqft · RM223 PSF
RM240,000
Jalan Dato' Abdul Rashid Salleh 25
1,076 sqft · RM223 PSF
RM145,000
Lorong Dato Abdul Rashid Salleh 14
1,076 sqft · RM135 PSF
1,200 sqft
Terrace
RM270,000
Lorong Dato Rashid Salleh 9
1,195 sqft · RM226 PSF
RM250,000
Lorong Dato' Rashid Salleh 1
1,195 sqft · RM209 PSF
RM270,000
Lorong 7
1,195 sqft · RM226 PSF
1,500 sqft
Terrace
RM290,000
Lorong Dato Abd Rashid Salleh 2
1,496 sqft · RM194 PSF
Legend Recent Highest Price Highest PSF

Selling in Dato' Rashid? Homes here sold for a median of RM250,000.

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Market Snapshot

Residential

RM250,000

RM223 psf

Median transaction price

Dato' Rashid
© OpenStreetMap · CARTO

26100 Kuantan, Pahang, Malaysia

Maps

Dato' Rashid in Kuantan, Pahang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM250K and a median price per square foot (PSF) of RM223.

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 RM250K, with most transactions falling within a stable range of RM206K to RM290K, and a typical market range of RM220K to RM280K.

Most transactions involved low-cost house, with moderate diversity in property types available.

The median PSF stands at RM223, with core pricing between RM192 and RM254. Market pricing typically extends from RM200.60 to RM245.35, reflecting moderate variation in unit pricing. With an IQR of RM44.75 and MAD of RM31, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.