Apartment
Taman Putera Jaya, 89200 Kota Kinabalu, Sabah, Malaysia
Taman Putera Jaya, 89200 Kota Kinabalu, Sabah, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 2
|
RM160,000
|
RM248
|
645 sqft
|
|
LC Flat |
|
Level 3
|
RM185,000
|
RM286
|
647 sqft
|
|
LC Flat |
|
Level 1
|
RM160,000
|
RM247
|
647 sqft
|
|
LC Flat |
|
Level 2
|
RM170,000
|
RM263
|
647 sqft
|
|
LC Flat |
|
Level 4
|
RM160,000
|
RM247
|
647 sqft
|
|
LC Flat |
|
Level 4
|
RM190,000
|
RM294
|
647 sqft
|
|
LC Flat |
Selling in Apartment? Homes here sold for a median of RM170,000.
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Apartment
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 Kota Kinabalu
Market Snapshot
ResidentialRM170,000
RM263 psfMedian transaction price
Apartment, Taman Putera Jaya, 89200 Kota Kinabalu, Sabah, Malaysia
MapsApartment in Kota Kinabalu, Sabah recorded 13 subsale transactions between 2021 and 2026, with a median price of RM170K and a median price per square foot (PSF) of RM263.
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 RM170K, with most transactions falling within a stable range of RM160K to RM180K, and a typical market range of RM158K to RM183K.
Most transactions involved low-cost flat, with minimal variety in property types.
For price per square foot, the median is RM263, with most transactions between RM247 and RM279. The usual range is RM243.16 to RM282.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM39.00 and an average deviation (MAD) of RM16 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.