New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2023 | |||||
|
Level 9
|
RM 273,000
|
RM 551
|
495 sqft
|
|
SOHO |
|
Level 25
|
RM 250,000
|
RM 505
|
495 sqft
|
|
SOHO |
| 2022 | |||||
|
Jalan Teknokrat 6
|
RM 247,000
|
RM 499
|
495 sqft
|
|
6-Sty Shop |
|
Level 19
|
RM 265,000
|
RM 535
|
495 sqft
|
|
SOHO |
Auction Properties
3 auction properties in Cyberjaya
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New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
RM 362,500
RM 329 psfMedian transaction price
RM 257,500
RM 520 psfMedian transaction price
Cyberjaya, Selangor, Malaysia
MapsCyberjaya in Sepang, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 475 and 524 sqft, with a median price of RM 258K and a median price per square foot (PSF) of RM 520.
This area contains both residential and commercial properties. View 70 residential properties or 34 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 258K, with most transactions falling within a stable range of RM 247K to RM 268K, and a typical market range of RM 247K to RM 273K.
Most transactions involved condominium/apartment, with high diversity across multiple property types.
For price per square foot, the median is RM 520, with most transactions between RM 498 and RM 542. The usual range is RM 416.17 to RM 623.93, showing that most units are priced quite close to each other. With an IQR of RM 207.75 and MAD of RM 22, 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.