Taman Jati

48000 Rawang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 260,000
PSF
RM 118
Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
LC House
RM 260,000
Jalan 2C
1,496 sqft · RM 174 PSF
RM 310,000
Jalan 1C
1,496 sqft · RM 207 PSF
RM 150,000
Jalan 2C
1,496 sqft · RM 100 PSF
1,900 sqft
LC House
RM 190,000
Lorong 2/2
1,894 sqft · RM 100 PSF
2,950 sqft
LC House
RM 350,000
Jalan 2
2,960 sqft · RM 118 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 260,000

RM 118 psf

Median transaction price

Taman Jati
© OpenStreetMap · CARTO

Taman Jati, 48000 Rawang, Selangor, Malaysia

Maps

Taman Jati in Gombak, Selangor recorded 5 Low-Cost House properties subsale transactions between 2021 and 2026, with a median price of RM 260K and a median price per square foot (PSF) of RM 118.

This area contains both residential and commercial properties. View 39 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 260K, with most transactions falling within a stable range of RM 186K to RM 334K, and a typical market range of RM 229K to RM 291K.

Within the Low-Cost House category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM 118, though individual units vary from RM 75 to RM 161 in the core range. The broader market spans RM 43.11 to RM 193.37, indicating diverse property characteristics. A wider spread (IQR: RM 150.25) and deviation (MAD: RM 43) 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.