Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM 705,000
|
RM 762
|
926 sqft
|
|
|
|
Level 10
|
RM 670,000
|
RM 724
|
926 sqft
|
|
|
|
Level 15
|
RM 725,000
|
RM 774
|
936 sqft
|
|
|
|
Level 16
|
RM 630,000
|
RM 681
|
926 sqft
|
|
|
|
Level 11
|
RM 630,000
|
RM 673
|
936 sqft
|
|
|
Level 17
|
RM 705,000
|
RM 612
|
1,152 sqft
|
|
|
|
Level 9
|
RM 645,000
|
RM 560
|
1,152 sqft
|
|
|
|
Level 11
|
RM 735,000
|
RM 626
|
1,173 sqft
|
|
|
|
Level 17
|
RM 810,000
|
RM 690
|
1,173 sqft
|
|
|
Level 3
|
RM 770,000
|
RM 591
|
1,302 sqft
|
|
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Market Snapshot
CommercialRM 1,144,000
RM 941 psfMedian transaction price
13, Jln Doktor U1/67, Temasya Glenmarie, 40150 Shah Alam, Selangor, Malaysia
MapsTemasya 8 - U1 Glenmarie in Petaling, Selangor recorded 10 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM 705K and a median price per square foot (PSF) of RM 677.
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 RM 705K, with most transactions falling within a stable range of RM 648K to RM 762K, and a typical market range of RM 630K to RM 810K.
Within the Serviced Apt category, office lot dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 677, with core pricing between RM 609 and RM 745. Market pricing typically extends from RM 566.54 to RM 786.79, reflecting moderate variation in unit pricing. With an IQR of RM 220.25 and MAD of RM 68, 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.