Taman Melur Makmur

Pahang, Bera, Teriang

Property Transactions

9 subsales grouped by size

Median
RM280,000
PSF
RM160
Period
transactions middle 50% (P25–P75)
1,600 sqft
Terrace
RM250,000
Jalan Melur Makmur 2
1,582 sqft · RM158 PSF
RM258,000
Jalan Melur Makmur 2
1,582 sqft · RM163 PSF
1,700 sqft
Terrace
RM280,000
Taman Melur Makmur
1,690 sqft · RM166 PSF
RM270,000
Jalan Melur Makmur 3
1,690 sqft · RM160 PSF
RM270,000
Jalan Melur Makmur 3
1,690 sqft · RM160 PSF
RM280,000
Jalan Melur Makmur 2
1,690 sqft · RM166 PSF
2,850 sqft
Terrace
RM363,000
Jalan Melur Makmur 1
2,842 sqft · RM128 PSF
2,950 sqft
Terrace
RM363,000
Jalan Melur Makmur 2
2,949 sqft · RM123 PSF
3,300 sqft
Terrace
RM380,000
Jalan Melur Makmur 2
3,294 sqft · RM115 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM280,000

RM160 psf

Median transaction price

Taman Melur Makmur in Bera, Pahang recorded 9 subsale transactions between 2021 and 2026, with a median price of RM280K and a median price per square foot (PSF) of RM160.

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 RM280K, with most transactions falling within a stable range of RM258K to RM302K, and a typical market range of RM250K to RM327K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM160, with most transactions between RM154 and RM166. The usual range is RM142.27 to RM177.27, showing that most units are priced quite close to each other. A typical spread (IQR) of RM35.00 and an average deviation (MAD) of RM6 indicate a highly stable PSF trend across properties.

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.