| Price | PSF | Size | Date | Type |
|---|
|
RM1,703,000
|
RM256
|
6,652 sqft
|
|
|
|
RM1,380,000
|
RM354
|
3,897 sqft
|
|
|
|
RM1,380,000
|
RM347
|
3,972 sqft
|
|
|
|
RM1,380,000
|
RM355
|
3,886 sqft
|
|
|
|
RM1,380,000
|
RM347
|
3,972 sqft
|
|
|
|
RM1,380,000
|
RM347
|
3,972 sqft
|
|
|
RM1,380,000
|
RM335
|
4,123 sqft
|
|
|
|
RM1,380,000
|
RM344
|
4,015 sqft
|
|
|
|
RM1,380,000
|
RM344
|
4,015 sqft
|
|
|
RM1,380,000
|
RM338
|
4,080 sqft
|
|
|
|
RM1,380,000
|
RM336
|
4,101 sqft
|
|
|
|
RM1,460,000
|
RM358
|
4,080 sqft
|
|
Posts about Taman Dellinia (Klana Heights@Lake Garden)
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Taman Dellinia (Klana Heights@Lake Garden)
Jalan Lobak
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 Bandar Seremban
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Market Snapshot
ResidentialRM1,380,000
RM346 psfMedian transaction price
Malaysia, Negeri Sembilan, Seremban, Taman DelliniaJalan Dellinia 15, 70200
MapsTaman Dellinia (Klana Heights@Lake Garden) in Seremban, Negeri Sembilan recorded 14 subsale transactions between 2021 and 2026, with a median price of RM1.38 million and a median price per square foot (PSF) of RM347.
This area consists exclusively of residential properties, with no commercial listings recorded.
Price remained flat, and PSF growth was PSF remained flat.
Most transactions involved 2 - 2 1/2 storey semi-detached, with minimal variety in property types.
For price per square foot, the median is RM347, with most transactions between RM339 and RM355. The usual range is RM340.32 to RM354.57, showing that most units are priced quite close to each other. A typical spread (IQR) of RM14.25 and an average deviation (MAD) of RM8 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.