P/Lot Sungai Ramal Dalam

Persiaran Teratai 4, Kampung Sungai Ramal Dalam, 43000 Kajang, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 1,350,000
PSF
RM 334
Price Size
Period
transactions middle 50% (P25–P75)
4,050 sqft
Semi-D
RM 1,350,000
Persiaran Teratai 4
4,047 sqft · RM 334 PSF
RM 1,380,000
Persiaran Teratai 4
4,047 sqft · RM 341 PSF
8,350 sqft
Bungalow
RM 1,300,000
Persiaran Teratai 2
8,364 sqft · RM 155 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,350,000

RM 334 psf

Median transaction price

P/Lot Sungai Ramal Dalam
© OpenStreetMap · CARTO

Persiaran Teratai 4, Kampung Sungai Ramal Dalam, 43000 Kajang, Selangor, Malaysia

Maps

P/Lot Sungai Ramal Dalam in Hulu Langat, Selangor recorded 3 subsale transactions in 2024, with a median price of RM 1.35 million and a median price per square foot (PSF) of RM 334.

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 RM 1.35 million, with most transactions falling within a stable range of RM 1.32 million to RM 1.38 million, and a typical market range of RM 1.30 million to RM 1.38 million.

Most transactions involved 2 - 2 1/2 storey semi-detached, with moderate diversity in property types available.

Price per square foot shows a median of RM 334, though individual units vary from RM 248 to RM 419 in the core range. The broader market spans RM 251.69 to RM 415.44, indicating diverse property characteristics. A wider spread (IQR: RM 163.75) and deviation (MAD: RM 86) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.