| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Pandan 10/2
|
RM 285,000
|
RM 204
|
1,399 sqft
|
|
|
|
Lorong Pandan 10/3
|
RM 285,000
|
RM 204
|
1,399 sqft
|
|
|
|
Lorong Pandan 10/9
|
RM 285,000
|
RM 204
|
1,399 sqft
|
|
|
|
Lorong Pandan 10/12
|
RM 287,000
|
RM 205
|
1,399 sqft
|
|
|
Lorong Pandan 10/20
|
RM 150,000
|
RM 54
|
2,799 sqft
|
|
|
|
Lorong Pandan 10/28
|
RM 135,000
|
RM 48
|
2,799 sqft
|
|
|
|
Lorong Pandan 10/32
|
RM 150,000
|
RM 54
|
2,799 sqft
|
|
|
Lorong Pandan 10/3
|
RM 344,000
|
RM 115
|
2,992 sqft
|
|
|
Sl 105, Lorong Pandan
|
RM 348,000
|
RM 112
|
3,111 sqft
|
|
|
Lorong Pandan 10/5
|
RM 352,000
|
RM 110
|
3,186 sqft
|
|
|
|
Lorong Pandan 10
|
RM 352,000
|
RM 111
|
3,175 sqft
|
|
|
Lorong Pandan 10/9
|
RM 365,000
|
RM 102
|
3,574 sqft
|
|
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Perumahan Makmur Pandan 10 (Pt 153494) in Kuantan, Pahang recorded 12 subsale transactions between 2021 and 2026, with a median price of RM 286K and a median price per square foot (PSF) of RM 112.
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 286K, with most transactions falling within a stable range of RM 204K to RM 365K, and a typical market range of RM 219K to RM 354K.
Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.
Price per square foot shows a median of RM 112, though individual units vary from RM 52 to RM 171 in the core range. The broader market spans RM 81.50 to RM 141.50, indicating diverse property characteristics. A wider spread (IQR: RM 60.00) and deviation (MAD: RM 59) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.