| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong 6, Jalan Bukit Nangka
|
RM130,000
|
RM108
|
1,206 sqft
|
|
|
|
Jalan Bkt Nangka
|
RM150,000
|
RM126
|
1,195 sqft
|
|
|
|
Jalan Bkt Nangka
|
RM65,000
|
RM54
|
1,195 sqft
|
|
|
|
Jalan Bukit Nangka 3
|
RM135,000
|
RM113
|
1,195 sqft
|
|
|
|
Jalan Rumah Awam Sri Gadek
|
RM140,000
|
RM117
|
1,195 sqft
|
|
|
|
Rumah Awam Sri Gadek
|
RM120,000
|
RM100
|
1,195 sqft
|
|
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Nearby areas in Pdg Sebang
Taman Sebang Mutiara
Taman Sebang Gemilang (R.a.pdg Sebang)
Rum Awam Seri Gadek (Bkt Nangka)
Taman Padang Sebang Indah
Taman Padang Sebang Gemilang
Rum Awam Seri Gadek
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 Pdg Sebang
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261, Jalan Bukit Nangka, 78000 Alor Gajah, Melaka, Malaysia
MapsRum Awam Seri Gadek (Bkt Nangka) in Alor Gajah, Melaka recorded 6 subsale transactions between 2021 and 2026, with a median price of RM133K and a median price per square foot (PSF) of RM113.
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 RM133K, with most transactions falling within a stable range of RM123K to RM143K, and a typical market range of RM124K to RM141K.
Most transactions involved low-cost house, with minimal variety in property types.
For price per square foot, the median is RM113, with most transactions between RM104 and RM121. The usual range is RM105.99 to RM119.99, showing that most units are priced quite close to each other. A typical spread (IQR) of RM14.00 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.