Taman Lendu Bakti(Rum Awam Lendu F2)

Taman Lendu Bakti, 78000 Alor Gajah, Melaka, Malaysia

Property Transactions

1 subsales found

Median
RM170,000
PSF
RM81
Price Size
Period
transactions middle 50% (P25–P75)
RM170,000
Jalan Lendu Bakti 9(Taman Lendu Bakti)
2,088 sqft RM81 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Lendu Bakti(Rum Awam Lendu F2)? Homes here sold for a median of RM170,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Lendu Bakti(Rum Awam Lendu F2)

What’s happening in Taman Lendu Bakti(Rum Awam Lendu F2)?

No posts about Taman Lendu Bakti(Rum Awam Lendu F2) yet. Be the first to share what’s happening here.

Nearby areas in Lendu

Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Lendu

Taman Lendu Bakti(Rum Awam Lendu F2)
© OpenStreetMap · CARTO

Taman Lendu Bakti, 78000 Alor Gajah, Melaka, Malaysia

Maps

Taman Lendu Bakti(Rum Awam Lendu F2) in Alor Gajah, Melaka recorded 1 subsale transactions between 2021 and 2026, sized between 2,075 and 2,124 sqft, with a median price of RM170K and a median price per square foot (PSF) of RM81.

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 low-cost house, with minimal variety in property types.

For price per square foot, the median is RM81, with most transactions between RM81 and RM81. The usual range is RM70.66 to RM92.16, showing that most units are priced quite close to each other. A typical spread (IQR) of RM21.50 and an average deviation (MAD) of RM0 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.