| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Gambang Jaya 2/7
|
RM 240,000
|
RM 86
|
2,799 sqft
|
|
|
|
Lorong Gambang Jaya 2/6
|
RM 250,000
|
RM 89
|
2,799 sqft
|
|
|
Jalan Ktn Segamat
|
RM 157,000
|
RM 47
|
3,326 sqft
|
|
|
Jalan Ktn Segamat
|
RM 158,000
|
RM 47
|
3,391 sqft
|
|
|
|
Jalan Ktn Segamat
|
RM 158,000
|
RM 47
|
3,391 sqft
|
|
|
|
Jalan Ktn Segamat
|
RM 158,000
|
RM 47
|
3,391 sqft
|
|
|
|
Jalan Ktn Segamat
|
RM 158,000
|
RM 47
|
3,391 sqft
|
|
|
|
Jalan Ktn Segamat
|
RM 142,000
|
RM 42
|
3,391 sqft
|
|
|
Jalan Ktn Segamat
|
RM 143,000
|
RM 42
|
3,444 sqft
|
|
|
Jalan Ktn Segamat
|
RM 159,000
|
RM 45
|
3,498 sqft
|
|
|
Jalan Ktn Segamat
|
RM 160,000
|
RM 45
|
3,574 sqft
|
|
|
Lorong Gambang Jaya 2/6
|
RM 260,000
|
RM 72
|
3,627 sqft
|
|
|
Jalan Ktn Segamat
|
RM 221,000
|
RM 27
|
8,288 sqft
|
|
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Market Snapshot
ResidentialRM 158,000
RM 47 psfMedian transaction price
Perumahan Makmur Gambang Jaya 2 (Prima) in Kuantan, Pahang recorded 13 subsale transactions in 2023, with a median price of RM 158K and a median price per square foot (PSF) of RM 47.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 158K, with most transactions falling within a stable range of RM 142K to RM 200K, and a typical market range of RM 142K to RM 194K.
Most transactions involved 1 - 1 1/2 storey semi-detached, with minimal variety in property types.
Price per square foot shows a median of RM 47, though individual units vary from RM 29 to RM 64 in the core range. The broader market spans RM 31.60 to RM 61.60, indicating diverse property characteristics. A wider spread (IQR: RM 30.00) and deviation (MAD: RM 18) 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.