| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 3
|
RM170,000
|
RM243
|
700 sqft
|
|
|
|
Level 3A
|
RM137,000
|
RM196
|
700 sqft
|
|
|
Level 5
|
RM340,000
|
RM427
|
797 sqft
|
|
|
|
Level 2
|
RM318,000
|
RM399
|
797 sqft
|
|
|
|
Level 3
|
RM317,000
|
RM398
|
797 sqft
|
|
|
Level 5
|
RM420,000
|
RM494
|
850 sqft
|
|
|
|
Level 1
|
RM323,000
|
RM380
|
850 sqft
|
|
|
Jalan Odp 7A
|
RM650,000
|
RM305
|
2,131 sqft
|
|
Selling in Orchid Deluxe Park? Homes here sold for a median of RM323,000.
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Ringlet
Market Snapshot
ResidentialRM323,000
RM391 psfMedian transaction price
ORCHID DELUXE PARK, Taman Orchid, Ringlet, 39200, Cameron Highland, Pahang, Malaysia
Orchid Deluxe Park in Cameron Highland, Pahang recorded 9 subsale transactions in 2022, with a median price of RM323K and a median price per square foot (PSF) of RM391.
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 RM323K, with most transactions falling within a stable range of RM183K to RM463K, and a typical market range of RM306K to RM341K.
Most transactions involved condominium/apartment, with minimal variety in property types.
Price per square foot shows a median of RM391, though individual units vary from RM303 to RM480 in the core range. The broader market spans RM344.17 to RM438.17, indicating diverse property characteristics. The spread of RM94.00 (IQR) and deviation of RM88 (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.