Taman Seri Gaya

Perak, Kinta, Ulu Kinta

Property Transactions

10 subsales grouped by size

Period
transactions middle 50% (P25–P75)
950 sqft
LC House
RM210,000
Persiaran Tasek Timur 19
958 sqft · RM219 PSF
RM250,000
Psrn Tasek Timur 17
958 sqft · RM261 PSF
RM195,000
Psrn Tasek Timur 17
958 sqft · RM204 PSF
RM200,000
Psrn Tasek Timur 17
958 sqft · RM209 PSF
RM220,000
Prsrn Tasek Timur 23
958 sqft · RM230 PSF
RM186,000
Prsn Tasek Timur 25
958 sqft · RM194 PSF
1,100 sqft
2-Sty Terrace
RM225,000
Persiaran Tasek (T) 27
1,119 sqft · RM201 PSF
RM190,000
Persiaran Tasek (T) 25
1,119 sqft · RM170 PSF
RM230,000
Persiaran Tasek (T) 29
1,119 sqft · RM205 PSF
1,550 sqft
2-Sty Terrace
RM380,000
Persiaran Tasek Timur 22
1,539 sqft · RM247 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM215,000

RM225 psf

Median transaction price

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Taman Seri Gaya, Kinta, Perak

Taman Seri Gaya in Kinta, Perak recorded 10 subsale transactions between 2021 and 2026, with a median price of RM215K and a median price per square foot (PSF) of RM209.

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 RM215K, with most transactions falling within a stable range of RM198K to RM233K, and a typical market range of RM199K to RM231K.

Most transactions involved low-cost house, though some variety exists in the market.

For price per square foot, the median is RM209, with most transactions between RM193 and RM224. The usual range is RM194.40 to RM223.15, showing that most units are priced quite close to each other. A typical spread (IQR) of RM28.75 and an average deviation (MAD) of RM16 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.