Taman Bkt Mahkota
Bandar Bukit Mahkota, Kajang, Selangor, Malaysia
Bandar Bukit Mahkota, Kajang, Selangor, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 23
|
RM 327,000
|
RM 380
|
861 sqft
|
|
|
|
Level 25
|
RM 334,000
|
RM 388
|
861 sqft
|
|
|
|
Level 26
|
RM 329,000
|
RM 382
|
861 sqft
|
|
|
Level 16
|
RM 381,000
|
RM 344
|
1,109 sqft
|
|
|
|
Level 26
|
RM 393,000
|
RM 354
|
1,109 sqft
|
|
|
|
Level 9
|
RM 360,000
|
RM 325
|
1,109 sqft
|
|
|
|
Level 26
|
RM 393,000
|
RM 354
|
1,109 sqft
|
|
|
|
Level 22
|
RM 347,000
|
RM 313
|
1,109 sqft
|
|
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Market Snapshot
CommercialRM 750,000
RM 520 psfMedian transaction price
Bandar Bukit Mahkota, Kajang, Selangor, Malaysia
MapsTaman Bkt Mahkota in Hulu Langat, Selangor recorded 8 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM 354K and a median price per square foot (PSF) of RM 354.
This area contains both residential and commercial properties. View 8 residential properties or 32 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 354K, with most transactions falling within a stable range of RM 327K to RM 380K, and a typical market range of RM 327K to RM 393K.
Within the Serviced Apt category, 2 - 2 1/2 storey shop dominated the market, with high diversity across multiple property types.
For price per square foot, the median is RM 354, with most transactions between RM 329 and RM 380. The usual range is RM 226.61 to RM 482.36, showing that most units are priced quite close to each other. With an IQR of RM 255.75 and MAD of RM 26, 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.