Property Type
| LIST.MY · Bandar Sungai Long | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2023 | |||||
|
Jalan Sl 4/5
|
RM830,000
|
RM391
|
2,120 sqft
|
|
2-Sty Terrace |
| 2022 | |||||
|
Jalan Sl 4/5
|
RM1,200,000
|
RM566
|
2,120 sqft
|
|
2-Sty Terrace |
Selling in Bandar Sungai Long? Homes here sold for a median of RM1,015,000.
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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 Cheras
Market Snapshot
RM1,015,000
RM479 psfMedian transaction price
RM2,090,000
RM1,075 psfMedian transaction price
Bandar Sungai Long, 43200 Kajang, Selangor, Malaysia
MapsBandar Sungai Long in Hulu Langat, Selangor recorded 2 subsale transactions between 2021 and 2026, sized between 2,075 and 2,124 sqft, with a median price of RM1.02 million and a median price per square foot (PSF) of RM479.
This area contains both residential and commercial properties. View 320 residential properties or 10 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM1.02 million, with most transactions falling within a stable range of RM830K to RM1.20 million, and a typical market range of RM860K to RM1.17 million.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
The median PSF stands at RM479, with core pricing between RM391 and RM566. Market pricing typically extends from RM406.91 to RM550.41, reflecting moderate variation in unit pricing. The spread of RM143.50 (IQR) and deviation of RM87 (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.