Taman Suria Jaya

43200 Cheras, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
2-Sty Terrace
RM580,000
Jalan Bunga Mawar 6
1,130 sqft · RM513 PSF
RM535,000
Jalan Bunga Mawar 6
1,130 sqft · RM473 PSF
1,500 sqft
2-Sty Terrace
RM750,000
Jalan Bunga Melor 4
1,496 sqft · RM501 PSF
6,750 sqft
Terrace Factory
RM1,190,000
Jljn Bunga Melor 3
6,749 sqft · RM176 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Suria Jaya? Homes here sold for a median of RM665,000.

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Market Snapshot

Residential

RM580,000

RM501 psf

Median transaction price

Taman Suria Jaya
© OpenStreetMap · CARTO

Taman Suria Jaya, 43200 Cheras, Selangor, Malaysia

Maps

Taman Suria Jaya in Hulu Langat, Selangor recorded 4 subsale transactions in 2021, with a median price of RM665K and a median price per square foot (PSF) of RM487.

This area contains both residential and commercial properties. View 35 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM665K, with most transactions falling within a stable range of RM535K to RM924K, and a typical market range of RM559K to RM771K.

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

Price per square foot shows a median of RM487, though individual units vary from RM348 to RM626 in the core range. The broader market spans RM427.07 to RM547.57, indicating diverse property characteristics. A wider spread (IQR: RM120.50) and deviation (MAD: RM139) indicate significant PSF variations, likely due to diverse property types or conditions.

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.