Taman Damar
Lot 2323, perumahan, Taman Damar, 18300 Gua Musang, Kelantan, Malaysia
Lot 2323, perumahan, Taman Damar, 18300 Gua Musang, Kelantan, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Gua Musang / Kuala Lipis - (2)
|
RM 145,000
|
RM 192
|
753 sqft
|
|
|
Jalan Gua Musang / Kuala Lipis - (2)
|
RM 112,000
|
RM 133
|
840 sqft
|
|
|
|
Taman Damar
|
RM 150,000
|
RM 179
|
840 sqft
|
|
|
Tamar Damar 'A'
|
RM 150,000
|
RM 160
|
936 sqft
|
|
Terrace |
|
Jalan Gua Musang / Kuala Lipis -
|
RM 155,000
|
RM 166
|
936 sqft
|
|
LC House |
|
Jalan Gua Musang / Kuala Lipis - (2)
|
RM 150,000
|
RM 106
|
1,410 sqft
|
|
|
Taman Damar(Taman Kesedar Jaya)
|
RM 280,000
|
RM 124
|
2,260 sqft
|
|
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Market Snapshot
ResidentialRM 150,000
RM 160 psfMedian transaction price
Lot 2323, perumahan, Taman Damar, 18300 Gua Musang, Kelantan, Malaysia
MapsTaman Damar in Gua Musang, Kelantan recorded 7 subsale transactions in 2021, with a median price of RM 150K and a median price per square foot (PSF) of RM 160.
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 150K, with most transactions falling within a stable range of RM 112K to RM 200K, and a typical market range of RM 121K to RM 179K.
Most transactions involved low-cost house, with moderate diversity in property types available.
The median PSF stands at RM 160, with core pricing between RM 131 and RM 189. Market pricing typically extends from RM 131.68 to RM 188.68, reflecting moderate variation in unit pricing. The spread of RM 57.00 (IQR) and deviation of RM 29 (MAD) suggest moderate price variations reflecting different property features.
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.