Desa Kemuning Suria P/L 1261
24A, Jalan Gelugor, Kawasan 17, 41150 Klang, Selangor, Malaysia
24A, Jalan Gelugor, Kawasan 17, 41150 Klang, Selangor, Malaysia
| LIST.MY · Desa Kemuning Suria P/L 1261 | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2024 | |||||
|
Jalan Hikmah Dua 25/132B
|
RM460,000
|
RM319
|
1,442 sqft
|
|
2-Sty Terrace |
|
Jalan Hikmah Satu 25/132A
|
RM500,000
|
RM347
|
1,442 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Jalan Hikmah Empat 25/132D
|
RM550,000
|
RM381
|
1,442 sqft
|
|
2-Sty Terrace |
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Desa Kemuning Suria P/L 1261
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 Kelang
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24A, Jalan Gelugor, Kawasan 17, 41150 Klang, Selangor, Malaysia
MapsDesa Kemuning Suria P/L 1261 in Klang, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 1,425 and 1,474 sqft, with a median price of RM500K and a median price per square foot (PSF) of RM347.
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 RM500K, with most transactions falling within a stable range of RM463K to RM537K, and a typical market range of RM478K to RM523K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM347, with most transactions between RM321 and RM372. The usual range is RM325.15 to RM368.15, showing that most units are priced quite close to each other. A typical spread (IQR) of RM43.00 and an average deviation (MAD) of RM26 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.