Taman Meru Idaman (Scientex Meru)

Scientex Meru, Ulu Kinta, 30020, Kinta, Perak, Malaysia

Property Transactions

11 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM346,000
Level 1
958 sqft RM361 PSF
RM346,000
Level 2
958 sqft RM361 PSF
RM350,000
Level 3
958 sqft RM365 PSF
RM348,000
Level 2
958 sqft RM363 PSF
RM348,000
Level 3
958 sqft RM363 PSF
RM339,000
Level 1
958 sqft RM354 PSF
RM349,000
Level 5
958 sqft RM364 PSF
RM352,000
Level 12
958 sqft RM367 PSF
RM366,000
Level 19
958 sqft RM382 PSF
RM352,000
Level 4
958 sqft RM367 PSF
RM351,000
Level 6
958 sqft RM366 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM349,000

RM364 psf

Median transaction price

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TAMAN MERU IDAMAN (SCIENTEX MERU), Scientex Meru, Ulu Kinta, 30020, Kinta, Perak, Malaysia

Taman Meru Idaman (Scientex Meru) in Kinta, Perak recorded 11 subsale transactions between 2021 and 2026, sized between 925 and 974 sqft, with a median price of RM349K and a median price per square foot (PSF) of RM364.

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 RM349K, with most transactions falling within a stable range of RM343K to RM355K, and a typical market range of RM339K to RM366K.

Most transactions involved condominium/apartment, with moderate diversity in property types available.

For price per square foot, the median is RM364, with most transactions between RM358 and RM371. The usual range is RM351.05 to RM377.55, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.50 and an average deviation (MAD) of RM7 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.