| LIST.MY · Sri Desa | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Lorong Seri Mahkota Makmur 1
|
RM160,000
|
RM229
|
700 sqft
|
|
LC House |
| 2023 | |||||
|
Lorong Seri Mahkota Makmur 2
|
RM150,000
|
RM214
|
700 sqft
|
|
LC House |
|
Lorong Seri Mahkota Makmur 1
|
RM105,000
|
RM150
|
700 sqft
|
|
LC House |
| 2022 | |||||
|
Lorong Seri Mahkota Makmur 1
|
RM140,000
|
RM200
|
700 sqft
|
|
LC House |
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Sri Desa
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 Kuala Kuantan
Market Snapshot
ResidentialRM145,000
RM207 psfMedian transaction price
Does SRI DESA rent out well?
Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.
See the yield with PlusRM59 a month, cancel any time
Sri Desa, Kuantan, Pahang
Sri Desa in Kuantan, Pahang recorded 4 subsale transactions between 2021 and 2026, sized between 675 and 724 sqft, with a median price of RM145K and a median price per square foot (PSF) of RM207.
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 RM145K, with most transactions falling within a stable range of RM124K to RM160K, and a typical market range of RM134K to RM156K.
Most transactions involved low-cost house, with minimal variety in property types.
The median PSF stands at RM207, with core pricing between RM178 and RM237. Market pricing typically extends from RM192.13 to RM222.38, reflecting moderate variation in unit pricing. With an IQR of RM30.25 and MAD of RM30, the PSF demonstrates reasonable consistency across the market.
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.