Taman Seri Sayang

Perak, Kinta, Ulu Kinta

Property Transactions

13 subsales grouped by size

Median
RM180,000
PSF
RM153
Period
transactions middle 50% (P25–P75)
1,150 sqft
LC House
RM240,000
Jalan Pengkalan Barat 18
1,173 sqft · RM205 PSF
RM185,000
Jalan Pengkalan Barat 18
1,173 sqft · RM158 PSF
RM180,000
Hala Pengkalan Barat 30
1,173 sqft · RM153 PSF
RM200,000
Hala Pengkalan Barat 18
1,173 sqft · RM170 PSF
RM180,000
Hala Pengkalan Barat 28
1,173 sqft · RM153 PSF
RM140,000
Hala Pengkalan Barat 26
1,173 sqft · RM119 PSF
+5 more
1,350 sqft
LC House
RM190,000
Jalan Pengkalan Barat 18
1,345 sqft · RM141 PSF
1,800 sqft
LC House
RM220,000
Jalan. Pengkalan Barat 26
1,819 sqft · RM121 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM180,000

RM153 psf

Median transaction price

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Taman Seri Sayang, Kinta, Perak

Taman Seri Sayang in Kinta, Perak recorded 13 subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM153.

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 RM180K, with most transactions falling within a stable range of RM170K to RM190K, and a typical market range of RM175K to RM185K.

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

For price per square foot, the median is RM153, with most transactions between RM144 and RM162. The usual range is RM144.92 to RM161.92, showing that most units are priced quite close to each other. A typical spread (IQR) of RM17.00 and an average deviation (MAD) of RM9 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.