Rum Awam Kesang

Kesang, Malacca, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM125,000
PSF
RM105
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
LC House
RM130,000
R/Awam Kesang
1,195 sqft · RM109 PSF
RM90,000
J 8274, Jalan Kesang Indah Utama
1,206 sqft · RM75 PSF
RM180,000
Jalan Kesang Indah 5
1,206 sqft · RM149 PSF
RM118,000
R/Awam Kesang
1,195 sqft · RM99 PSF
RM120,000
Jalan Indah 11
1,195 sqft · RM100 PSF
RM140,000
Jalan Kesang Indah Utama
1,195 sqft · RM117 PSF
RM130,000
Jalan Rak
1,195 sqft · RM109 PSF
1,250 sqft
LC House
RM100,000
Jalan Kesang Indah Utama
1,249 sqft · RM80 PSF
Legend Recent Highest Price Highest PSF

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

Market Snapshot

Residential

RM125,000

RM105 psf

Median transaction price

Rum Awam Kesang in Jasin, Melaka recorded 8 subsale transactions between 2021 and 2026, with a median price of RM125K and a median price per square foot (PSF) of RM105.

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 RM125K, with most transactions falling within a stable range of RM99K to RM151K, and a typical market range of RM108K to RM143K.

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

Price per square foot shows a median of RM105, though individual units vary from RM83 to RM126 in the core range. The broader market spans RM90.12 to RM119.12, indicating diverse property characteristics. The spread of RM29.00 (IQR) and deviation of RM22 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.