Rum Awam Sempang(Taman Panglima Park)

1636, Jalan Panglima Pak 3, Taman Seri Sempang, 77300 Merlimau, Melaka, Malaysia

Property Transactions

3 subsales grouped by road

Median
RM142,000
PSF
RM88
Period
transactions middle 50% (P25–P75)
RM160,000
1,819 sqft
RM88 PSF
RM142,000
1,200 sqft
RM118 PSF
RM120,000
2,287 sqft
RM52 PSF
Legend Recent Highest Price Highest PSF

Posts about Rum Awam Sempang(Taman Panglima Park)

What’s happening in Rum Awam Sempang(Taman Panglima Park)?

No posts about Rum Awam Sempang(Taman Panglima Park) yet. Be the first to share what’s happening here.

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

Rum Awam Sempang(Taman Panglima Park)
© OpenStreetMap · CARTO

1636, Jalan Panglima Pak 3, Taman Seri Sempang, 77300 Merlimau, Melaka, Malaysia

Maps

Rum Awam Sempang(Taman Panglima Park) in Jasin, Melaka recorded 3 subsale transactions between 2021 and 2026, with a median price of RM142K and a median price per square foot (PSF) of RM88.

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 RM142K, with most transactions falling within a stable range of RM124K to RM160K, and a typical market range of RM132K to RM152K.

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

Price per square foot shows a median of RM88, though individual units vary from RM58 to RM118 in the core range. The broader market spans RM71.46 to RM104.46, indicating diverse property characteristics. A wider spread (IQR: RM33.00) and deviation (MAD: RM30) indicate significant PSF variations, likely due to diverse property types or conditions.

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.