Temasya Glenmarie

6 & 8, Jalan Kurator U1/61, Seksyen U1 TemasyaGlenmarie, 40150 Shah Alam, Selangor, Malaysia

Property Transactions

3 subsales grouped by size · 2-Sty Terrace →

Median
RM 1,980,000
PSF
RM 668
Price Size
Period
transactions middle 50% (P25–P75)
2,400 sqft
2-Sty Terrace
RM 1,617,000
Jalan Tentera U1/57A
2,422 sqft · RM 668 PSF
2,900 sqft
2-Sty Terrace
RM 1,980,000
Jalan Penyelidik U1/68
2,895 sqft · RM 684 PSF
5,200 sqft
2-Sty Terrace
RM 3,300,000
Jalan Tentera U1/57A
5,188 sqft · RM 636 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,980,000

RM 668 psf

Median transaction price

Average

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Temasya Glenmarie
© OpenStreetMap · CARTO

6 & 8, Jalan Kurator U1/61, Seksyen U1 TemasyaGlenmarie, 40150 Shah Alam, Selangor, Malaysia

Maps

Temasya Glenmarie in Petaling, Selangor recorded 3 subsale transactions in 2021, with a median price of RM 1.98 million and a median price per square foot (PSF) of RM 668.

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 1.98 million, with most transactions falling within a stable range of RM 1.62 million to RM 2.70 million, and a typical market range of RM 1.62 million to RM 2.39 million.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

For price per square foot, the median is RM 668, with most transactions between RM 648 and RM 688. The usual range is RM 598.41 to RM 736.91, showing that most units are priced quite close to each other. With an IQR of RM 138.50 and MAD of RM 20, the PSF demonstrates reasonable consistency across the market.

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.