Taman Jaya Delima

Perak, Kinta, Ulu Kinta

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM230,000
Lorong Sungai Choh 16
1,302 sqft RM177 PSF
RM170,000
Lorong Sungai Choh 8
1,302 sqft RM131 PSF
RM180,000
Jalan Merpati
1,302 sqft RM138 PSF
RM188,000
Lorong Sungai Choh 18
1,302 sqft RM144 PSF
RM190,000
Jalan Merpati
1,302 sqft RM146 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Jaya Delima? Homes here sold for a median of RM188,000.

Free to list, about two minutes, and the buyers reading this page will see it.

List your property free

Posts about Taman Jaya Delima

What’s happening in Taman Jaya Delima?

No posts about Taman Jaya Delima yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM188,000

RM144 psf

Median transaction price

Loading map...

Taman Jaya Delima, Kinta, Perak

Taman Jaya Delima in Kinta, Perak recorded 5 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM188K and a median price per square foot (PSF) of RM144.

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 RM188K, with most transactions falling within a stable range of RM170K to RM208K, and a typical market range of RM170K to RM211K.

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

The median PSF stands at RM144, with core pricing between RM129 and RM160. Market pricing typically extends from RM135.60 to RM153.10, reflecting moderate variation in unit pricing. With an IQR of RM17.50 and MAD of RM16, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.