Rum Awam Bukit Larang

Bukit Larang, 75460 Telok Mas, Malacca, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM197,500
PSF
RM170
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
LC House
RM150,000
Jalan Bli 1
1,163 sqft · RM129 PSF
RM210,000
Lorong 3 Jalan Bli 1
1,163 sqft · RM181 PSF
RM195,000
Jalan Bli 1
1,163 sqft · RM168 PSF
RM200,000
Jalan Bli 10
1,163 sqft · RM172 PSF
RM150,000
Lorong 1
1,163 sqft · RM129 PSF
RM200,000
Jalan Bli 6
1,163 sqft · RM172 PSF
Legend Recent Highest Price Highest PSF

Selling in Rum Awam Bukit Larang? Homes here sold for a median of RM197,500.

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

Market Snapshot

Residential

RM197,500

RM170 psf

Median transaction price

Rum Awam Bukit Larang
© OpenStreetMap · CARTO

Bukit Larang, 75460 Telok Mas, Malacca, Malaysia

Maps

Rum Awam Bukit Larang in Melaka Tengah, Melaka recorded 6 subsale transactions in 2024, with a median price of RM198K and a median price per square foot (PSF) of RM170.

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 RM198K, with most transactions falling within a stable range of RM173K to RM210K, and a typical market range of RM181K to RM210K.

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

The median PSF stands at RM170, with core pricing between RM149 and RM191. Market pricing typically extends from RM149.39 to RM190.39, reflecting moderate variation in unit pricing. With an IQR of RM41.00 and MAD of RM21, the PSF demonstrates reasonable consistency across the market.

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.