| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 23
|
RM350,000
|
RM397
|
883 sqft
|
|
|
|
Level 5
|
RM312,000
|
RM353
|
883 sqft
|
|
|
|
Level 9
|
RM320,000
|
RM363
|
883 sqft
|
|
|
|
Level 12
|
RM326,000
|
RM369
|
883 sqft
|
|
|
|
Level 14
|
RM330,000
|
RM374
|
883 sqft
|
|
|
|
Level 15
|
RM322,000
|
RM365
|
883 sqft
|
|
|
Level 23
|
RM384,000
|
RM380
|
1,012 sqft
|
|
|
|
Level 24
|
RM386,000
|
RM381
|
1,012 sqft
|
|
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Nearby areas in Padang Semabok
Residensi Seri Serindit
Taman Seri Serindit
Sri Melaka Residensi
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 Padang Semabok
Market Snapshot
ResidentialRM342,000
RM381 psfMedian transaction price
Jalan Taman Bandaraya, Bukit Serindit, 75400 Melaka, Malaysia
MapsResidensi Seri Serindit in Melaka Tengah, Melaka recorded 15 subsale transactions between 2021 and 2026, with a median price of RM342K and a median price per square foot (PSF) of RM381.
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 RM342K, with most transactions falling within a stable range of RM334K to RM350K, and a typical market range of RM332K to RM352K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM381, with most transactions between RM372 and RM390. The usual range is RM372.50 to RM389.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.00 and an average deviation (MAD) of RM9 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.