Taman Melor Sejati

Durian Sebatang, Hilir Perak, Perak, Malaysia

Property Transactions

7 subsales grouped by size · 2-Sty Terrace →

Median
RM 475,000
PSF
RM 252
Price Size
1,250 sqft
2-Sty Terrace
RM 450,000
Lorong Sejati 2
1,259 sqft · RM 357 PSF
RM 410,000
Lorong Sejati 2
1,259 sqft · RM 326 PSF
1,850 sqft
2-Sty Terrace
RM 500,000
Jalan Mi 1
1,851 sqft · RM 270 PSF
2,000 sqft
2-Sty Terrace
RM 480,000
Jalan Sungai Manik
1,981 sqft · RM 242 PSF
RM 500,000
Jalan Mi 1
1,981 sqft · RM 252 PSF
RM 414,000
Lorong 1A
1,981 sqft · RM 209 PSF
RM 475,000
Lorong 1A
1,981 sqft · RM 240 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 475,000

RM 252 psf

Median transaction price

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TAMAN MELOR SEJATI, Durian Sebatang, Hilir Perak, Perak, Malaysia

Taman Melor Sejati in Hilir Perak, Perak recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 475K and a median price per square foot (PSF) of RM 252.

This area contains both residential and commercial properties. View 10 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 475K, with most transactions falling within a stable range of RM 440K to RM 500K, and a typical market range of RM 438K to RM 500K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM 252, with core pricing between RM 204 and RM 301. Market pricing typically extends from RM 237.08 to RM 267.83, reflecting moderate variation in unit pricing. The spread of RM 30.75 (IQR) and deviation of RM 48 (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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.