Taman Pusing Delima

Perak, Kinta, Belanja (Kinta)

Property Transactions

11 subsales grouped by size

Median
RM270,000
PSF
RM186
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Terrace
RM250,000
Jalan Delima 12
1,195 sqft · RM209 PSF
1,400 sqft
Terrace
RM270,000
Jalan Delima 17
1,399 sqft · RM193 PSF
RM270,000
Jalan Delima 17
1,399 sqft · RM193 PSF
RM270,000
Jalan Delima 11
1,399 sqft · RM193 PSF
RM270,000
Jalan Delima 17
1,399 sqft · RM193 PSF
RM250,000
Jalan Delima 7
1,399 sqft · RM179 PSF
RM260,000
Jalan Delima 7
1,399 sqft · RM186 PSF
RM250,000
Jalan Pusing Delima 9
1,399 sqft · RM179 PSF
RM218,000
Jalan Delima 5
1,399 sqft · RM156 PSF
1,800 sqft
Terrace
RM300,000
Taman Debunga
1,798 sqft · RM167 PSF
2,100 sqft
Terrace
RM320,000
Jalan Delima 17
2,099 sqft · RM152 PSF
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Market Snapshot

Residential

RM270,000

RM186 psf

Median transaction price

Taman Pusing Delima in Kinta, Perak recorded 11 subsale transactions between 2021 and 2026, with a median price of RM270K and a median price per square foot (PSF) of RM186.

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 RM270K, with most transactions falling within a stable range of RM244K to RM296K, and a typical market range of RM259K to RM281K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM186, with most transactions between RM169 and RM202. The usual range is RM165.31 to RM206.31, showing that most units are priced quite close to each other. A typical spread (IQR) of RM41.00 and an average deviation (MAD) of RM17 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.