Taman Bukit Goh Perdana

Pahang, Kuantan, Kuala Kuantan

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
LC House
RM150,000
Lorong Bukit Goh Perdana 8
1,324 sqft · RM113 PSF
RM130,000
Lorong Bukit Goh Perdana 1
1,324 sqft · RM98 PSF
RM120,000
Lorong Bukit Goh Perdana 2
1,324 sqft · RM91 PSF
1,550 sqft
LC House
RM140,000
Lorong Bkt Goh Perdana 1
1,528 sqft · RM92 PSF
2,200 sqft
Terrace
RM190,000
Lorong Bukit Goh Perdana 1
2,196 sqft · RM87 PSF
3,250 sqft
Terrace
RM390,000
Lorong Bkt Goh Perdana 13
3,261 sqft · RM120 PSF
4,350 sqft
Terrace
RM115,000
Lorong Bukit Goh Perdana 11
4,359 sqft · RM26 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM140,000

RM92 psf

Median transaction price

Taman Bukit Goh Perdana in Kuantan, Pahang recorded 7 subsale transactions between 2021 and 2026, with a median price of RM140K and a median price per square foot (PSF) of RM92.

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 RM140K, with most transactions falling within a stable range of RM115K to RM230K, and a typical market range of RM115K to RM171K.

Most transactions involved low-cost house, though some variety exists in the market.

Price per square foot shows a median of RM92, though individual units vary from RM63 to RM120 in the core range. The broader market spans RM83.22 to RM99.97, indicating diverse property characteristics. A wider spread (IQR: RM16.75) and deviation (MAD: RM28) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.