New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM150,000
|
RM213
|
705 sqft
|
|
|
|
Level 3
|
RM120,000
|
RM171
|
700 sqft
|
|
|
|
Level 2
|
RM134,000
|
RM190
|
705 sqft
|
|
New Launches in Selangor
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Taman Langat Murni
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Tanjung 12
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM142,000
RM201 psfMedian transaction price
Taman Langat Murni, 43900 Banting, Selangor, Malaysia
MapsTaman Langat Murni in Kuala Langat, Selangor recorded 4 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM142K and a median price per square foot (PSF) of RM201.
This area contains both residential and commercial properties. View 89 residential properties or 2 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM142K, with most transactions falling within a stable range of RM120K to RM168K, and a typical market range of RM120K to RM190K.
Within the Low-Cost Flat category, flats dominated the market, with high diversity across multiple property types.
The median PSF stands at RM201, with core pricing between RM180 and RM222. Market pricing typically extends from RM182.16 to RM220.66, reflecting moderate variation in unit pricing. With an IQR of RM38.50 and MAD of RM21, 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.