| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Delima
|
RM 269,000
|
RM 168
|
1,604 sqft
|
|
|
|
Jalan Delima, Kampung Koh
|
RM 269,000
|
RM 168
|
1,604 sqft
|
|
|
Jalan Delima
|
RM 406,000
|
RM 226
|
1,798 sqft
|
|
|
|
Jalan Delima
|
RM 395,000
|
RM 220
|
1,798 sqft
|
|
|
|
Jalan Delima
|
RM 359,000
|
RM 200
|
1,798 sqft
|
|
|
|
Jalan Delima
|
RM 369,000
|
RM 205
|
1,798 sqft
|
|
|
|
Jalan Delima
|
RM 289,000
|
RM 161
|
1,798 sqft
|
|
|
|
Jalan Delima
|
RM 359,000
|
RM 200
|
1,798 sqft
|
|
|
|
Jalan Delima
|
RM 436,000
|
RM 243
|
1,798 sqft
|
|
|
|
Jalan Delima
|
RM 359,000
|
RM 200
|
1,798 sqft
|
|
|
Kampung Koh
|
RM 439,000
|
RM 180
|
2,433 sqft
|
|
|
|
Jalan Delima, Kampung Koh
|
RM 439,000
|
RM 180
|
2,443 sqft
|
|
|
Jalan Delima, Kampung Koh
|
RM 539,000
|
RM 115
|
4,704 sqft
|
|
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Market Snapshot
ResidentialRM 369,000
RM 200 psfMedian transaction price
Taman Delima, Kampung Koh in Manjung, Perak recorded 13 subsale transactions in 2024, with a median price of RM 369K and a median price per square foot (PSF) of RM 200.
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 RM 369K, with most transactions falling within a stable range of RM 295K to RM 443K, and a typical market range of RM 339K to RM 400K.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM 200, with core pricing between RM 168 and RM 232. Market pricing typically extends from RM 163.34 to RM 236.09, reflecting moderate variation in unit pricing. The spread of RM 72.75 (IQR) and deviation of RM 32 (MAD) suggest moderate price variations reflecting different property features.
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.