| LIST.MY · Peony Square Apartment | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Level 5
|
RM560,000
|
RM501
|
1,118 sqft
|
|
Condo |
| 2022 | |||||
|
Level 2
|
RM535,000
|
RM479
|
1,118 sqft
|
|
Condo |
|
Level 7
|
RM550,000
|
RM492
|
1,118 sqft
|
|
Condo |
|
Level 6
|
RM550,000
|
RM492
|
1,118 sqft
|
|
Condo |
|
Level 2
|
RM517,000
|
RM462
|
1,118 sqft
|
|
Condo |
| 2021 | |||||
|
Level 5
|
RM533,000
|
RM477
|
1,118 sqft
|
|
Condo |
Selling in Peony Square Apartment? Homes here sold for a median of RM542,500.
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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 Ulu Telom
Market Snapshot
ResidentialRM542,500
RM485 psfMedian transaction price
Peony Square Apartment in Cameron Highland, Pahang recorded 6 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM543K and a median price per square foot (PSF) of RM485.
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 RM543K, with most transactions falling within a stable range of RM528K to RM557K, and a typical market range of RM517K to RM560K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM485, with most transactions between RM473 and RM498. The usual range is RM464.72 to RM505.72, showing that most units are priced quite close to each other. A typical spread (IQR) of RM41.00 and an average deviation (MAD) of RM13 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.