Taman Alam Damai
17, Jalan Damai Murni 14, Alam Damai, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
17, Jalan Damai Murni 14, Alam Damai, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM 230,000
|
RM 329
|
700 sqft
|
|
|
|
Level 3
|
RM 220,000
|
RM 314
|
700 sqft
|
|
|
|
Level 1
|
RM 200,000
|
RM 286
|
700 sqft
|
|
|
|
Level G
|
RM 180,000
|
RM 257
|
700 sqft
|
|
|
|
Level G
|
RM 200,000
|
RM 286
|
700 sqft
|
|
|
|
Level 3
|
RM 180,000
|
RM 257
|
700 sqft
|
|
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Market Snapshot
ResidentialRM 200,000
RM 286 psfMedian transaction price
Taman Alam Damai, 17, Jalan Damai Murni 14, Alam Damai, 56000 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia
MapsTaman Alam Damai in Kuala Lumpur, Kuala Lumpur recorded 9 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 200K and a median price per square foot (PSF) of RM 286.
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 200K, with most transactions falling within a stable range of RM 181K to RM 219K, and a typical market range of RM 170K to RM 230K.
Within the Low-Cost Flat category, 2 - 2 1/2 storey terraced dominated the market, with moderate diversity in property types available.
For price per square foot, the median is RM 286, with most transactions between RM 258 and RM 314. The usual range is RM 229.24 to RM 342.49, showing that most units are priced quite close to each other. With an IQR of RM 113.25 and MAD of RM 28, 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.