Taman Desa Jenjarom

Kampung Sungai Jarom, 42600 Jenjarom, Selangor, Malaysia

Property Transactions

6 subsales grouped by size · 2-Sty Terrace →

Median
RM 650,000
PSF
RM 287
Price Size
1,950 sqft
2-Sty Terrace
RM 650,000
Jalan Sawi 12
1,970 sqft · RM 330 PSF
RM 650,000
Jalan Sawi 14
1,970 sqft · RM 330 PSF
RM 620,000
Jalan Sawi 12
1,970 sqft · RM 315 PSF
2,850 sqft
Semi-D
RM 500,000
Jalan Sawi 24
2,874 sqft · RM 174 PSF
3,400 sqft
Semi-D
RM 880,000
Jalan Sawi 26
3,401 sqft · RM 259 PSF
3,950 sqft
Semi-D
RM 800,000
Jalan Sawi 22
3,972 sqft · RM 201 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 650,000

RM 287 psf

Median transaction price

Taman Desa Jenjarom
© OpenStreetMap · CARTO

Taman Desa Jenjarom, Kampung Sungai Jarom, 42600 Jenjarom, Selangor, Malaysia

Maps

Taman Desa Jenjarom in Kuala Langat, Selangor recorded 6 subsale transactions in 2023, with a median price of RM 650K and a median price per square foot (PSF) of RM 287.

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 650K, with most transactions falling within a stable range of RM 526K to RM 774K, and a typical market range of RM 588K to RM 713K.

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

Price per square foot shows a median of RM 287, though individual units vary from RM 225 to RM 349 in the core range. The broader market spans RM 224.23 to RM 349.23, indicating diverse property characteristics. The spread of RM 125.00 (IQR) and deviation of RM 62 (MAD) suggest moderate price variations reflecting different property features.

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.