Rum Pangsa Pantai Peringgit

Jalan Pantai Peringgit, 75400 Peringgit, Melaka, Malaysia

Property Transactions

19 subsales grouped by size

Median
RM42,000
PSF
RM75
Price Size
Period
transactions middle 50% (P25–P75)
500 sqft
LC Flat
RM42,000
Level 4
517 sqft · RM81 PSF
RM29,000
Level 1
517 sqft · RM56 PSF
RM42,000
Level 3
517 sqft · RM81 PSF
RM26,000
Level 4
517 sqft · RM50 PSF
RM70,000
Level 5
517 sqft · RM135 PSF
RM27,000
Level 3
517 sqft · RM52 PSF
+9 more
550 sqft
LC Flat
RM42,000
Level 4
560 sqft · RM75 PSF
RM34,000
Level 3
560 sqft · RM61 PSF
RM42,000
Level 4
560 sqft · RM75 PSF
RM42,000
Level 5
560 sqft · RM75 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM42,000

RM75 psf

Median transaction price

Rum Pangsa Pantai Peringgit
© OpenStreetMap · CARTO

Jalan Pantai Peringgit, 75400 Peringgit, Melaka, Malaysia

Maps

Rum Pangsa Pantai Peringgit in Melaka Tengah, Melaka recorded 19 subsale transactions between 2021 and 2026, with a median price of RM42K and a median price per square foot (PSF) of RM75.

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 RM42K, with most transactions falling within a stable range of RM30K to RM54K, and a typical market range of RM36K to RM49K.

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

Price per square foot shows a median of RM75, though individual units vary from RM52 to RM98 in the core range. The broader market spans RM62.50 to RM87.50, indicating diverse property characteristics. A wider spread (IQR: RM25.00) and deviation (MAD: RM23) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.