Temasya 8 - U1 Glenmarie

13, Jln Doktor U1/67, Temasya Glenmarie, 40150 Shah Alam, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
Serviced Apt
RM705,000
Level 17
1,152 sqft · RM612 PSF
RM645,000
Level 9
1,152 sqft · RM560 PSF
RM735,000
Level 11
1,173 sqft · RM626 PSF
RM810,000
Level 17
1,173 sqft · RM690 PSF
Legend Recent Highest Price Highest PSF

Selling in Temasya 8 - U1 Glenmarie? Homes here sold for a median of RM720,000.

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Market Snapshot

Commercial

RM1,144,000

RM941 psf

Median transaction price

Temasya 8 - U1 Glenmarie
© OpenStreetMap · CARTO

13, Jln Doktor U1/67, Temasya Glenmarie, 40150 Shah Alam, Selangor, Malaysia

Maps

Temasya 8 - U1 Glenmarie in Petaling, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 1,125 and 1,174 sqft, with a median price of RM720K and a median price per square foot (PSF) of RM619.

This area contains both residential and commercial properties. View 10 residential properties or 24 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM720K, with most transactions falling within a stable range of RM661K to RM779K, and a typical market range of RM645K to RM810K.

Most transactions involved office lot, with high diversity across multiple property types.

For price per square foot, the median is RM619, with most transactions between RM573 and RM666. The usual range is RM509.16 to RM729.42, showing that most units are priced quite close to each other. With an IQR of RM220.25 and MAD of RM46, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.