| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Tasik Senangin
|
RM 482,000
|
RM 373
|
1,292 sqft
|
|
|
|
Jalan Tasik Senangin 1A/4
|
RM 528,000
|
RM 409
|
1,292 sqft
|
|
|
|
Jalan Tasik Senangin 1A/4
|
RM 536,000
|
RM 415
|
1,292 sqft
|
|
|
|
Jalan Tasik Senangin 1A/4
|
RM 536,000
|
RM 415
|
1,292 sqft
|
|
|
|
Jalan Tasik Senangin 1A/1
|
RM 543,000
|
RM 420
|
1,292 sqft
|
|
|
|
Jalan Tasik Senangin 1A/3
|
RM 514,000
|
RM 398
|
1,292 sqft
|
|
|
|
Jalan Tasik Senangin
|
RM 482,000
|
RM 373
|
1,292 sqft
|
|
|
Jalan Tasik Senangin 1A/4
|
RM 536,000
|
RM 383
|
1,399 sqft
|
|
|
|
Jalan Tasik Senangin 1A/4
|
RM 536,000
|
RM 383
|
1,399 sqft
|
|
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Market Snapshot
ResidentialRM 536,000
RM 398 psfMedian transaction price
No.17, Jalan Tasik Senangin 1A/1, Bandar Tasik Senangin, 71750 Lenggeng, Negeri Sembilan, Malaysia
MapsQueensbury @ Mahkota Hills in Seremban, Negeri Sembilan recorded 9 subsale transactions in 2024, with a median price of RM 536K and a median price per square foot (PSF) of RM 398.
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 536K, with most transactions falling within a stable range of RM 514K to RM 543K, and a typical market range of RM 514K to RM 543K.
Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.
For price per square foot, the median is RM 398, with most transactions between RM 380 and RM 416. The usual range is RM 382.43 to RM 413.43, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 31.00 and an average deviation (MAD) of RM 18 indicate a highly stable PSF trend across properties.
Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.