Taman Merlimau Pasir (Pec Lot 1210)

Pekan Merlimau, 77300 Merlimau, Melaka, Malaysia

Property Transactions

6 subsales grouped by size · 2-Sty Terrace →

Median
RM 334,000
PSF
RM 209
Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
2-Sty Terrace
RM 331,000
Jalan Mp3
1,593 sqft · RM 208 PSF
RM 337,000
Jalan Mp 3
1,604 sqft · RM 210 PSF
RM 347,000
Jalan Mp 3
1,604 sqft · RM 216 PSF
RM 330,000
Jalan Merlimau-Batu Gajah
1,604 sqft · RM 206 PSF
RM 347,000
Jalan Merlimau-Batu Gajah
1,604 sqft · RM 216 PSF
2,800 sqft
Terrace
RM 269,000
Jalan Mp3
2,777 sqft · RM 97 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 334,000

RM 209 psf

Median transaction price

Taman Merlimau Pasir (Pec Lot 1210)
© OpenStreetMap · CARTO

Pekan Merlimau, 77300 Merlimau, Melaka, Malaysia

Maps

Taman Merlimau Pasir (Pec Lot 1210) in Jasin, Melaka recorded 6 subsale transactions in 2022, with a median price of RM 334K and a median price per square foot (PSF) of RM 209.

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 RM 334K, with most transactions falling within a stable range of RM 307K to RM 347K, and a typical market range of RM 323K to RM 345K.

Most transactions involved serviced apartment2 - 2 1, though some variety exists in the market.

Price per square foot shows a median of RM 209, though individual units vary from RM 166 to RM 252 in the core range. The broader market spans RM 199.45 to RM 218.45, indicating diverse property characteristics. The spread of RM 19.00 (IQR) and deviation of RM 43 (MAD) suggest moderate price variations reflecting different property features.

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.