Taman Melor

Perak, Kinta, Ulu Kinta

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
2-Sty Terrace
RM310,000
Prsn Bunga Seroja 6
1,453 sqft · RM213 PSF
RM315,000
Prsn Bunga Seroja 8
1,453 sqft · RM217 PSF
RM235,000
Psrn Bunga Seroja 4
1,647 sqft · RM143 PSF
RM300,000
Persiaran Bunga Seroja 2
1,658 sqft · RM181 PSF
RM368,000
Persiaran Bunga Seroja 2
1,658 sqft · RM222 PSF
RM312,000
Prsn Bunga Seroja 3
1,647 sqft · RM189 PSF
2,000 sqft
2-Sty Terrace
RM680,000
Persiaran Bunga Saroja 9
1,981 sqft · RM343 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Melor? Homes here sold for a median of RM312,000.

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Market Snapshot

Residential

RM312,000

RM213 psf

Median transaction price

Taman Melor
© OpenStreetMap · CARTO

Taman Melor, Kinta, Perak

Taman Melor in Kinta, Perak recorded 7 subsale transactions in 2023, with a median price of RM312K and a median price per square foot (PSF) of RM213.

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 RM312K, with most transactions falling within a stable range of RM235K to RM447K, and a typical market range of RM271K to RM353K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM213, though individual units vary from RM155 to RM271 in the core range. The broader market spans RM175.33 to RM251.33, indicating diverse property characteristics. A wider spread (IQR: RM76.00) and deviation (MAD: RM58) indicate significant PSF variations, likely due to diverse property types or conditions.

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.