| LIST.MY · Bayu Residence | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2022 | |||||
|
Level 2
|
RM270,000
|
RM238
|
1,136 sqft
|
|
Townhouse |
|
Level G
|
RM325,000
|
RM228
|
1,424 sqft
|
|
Townhouse |
|
Level 6
|
RM315,000
|
RM274
|
1,150 sqft
|
|
Condo |
|
Level G
|
RM338,000
|
RM254
|
1,333 sqft
|
|
Townhouse |
|
Level G
|
RM350,000
|
RM246
|
1,424 sqft
|
|
Townhouse |
|
Level G
|
RM330,000
|
RM291
|
1,136 sqft
|
|
Townhouse |
Selling in Bayu Residence? Homes here sold for a median of RM327,500.
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Bayu Residence
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 Nilai Utama Sek.1
Market Snapshot
ResidentialRM327,500
RM250 psfMedian transaction price
Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia
MapsBayu Residence in Seremban, Negeri Sembilan recorded 6 subsale transactions in 2022, with a median price of RM328K and a median price per square foot (PSF) of RM250.
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 RM328K, with most transactions falling within a stable range of RM302K to RM350K, and a typical market range of RM316K to RM339K.
Most transactions involved town house, though some variety exists in the market.
For price per square foot, the median is RM250, with most transactions between RM228 and RM271. The usual range is RM229.19 to RM270.19, showing that most units are priced quite close to each other. A typical spread (IQR) of RM41.00 and an average deviation (MAD) of RM21 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.