Taman Daya Maju, Meru
Taman Daya Maju, 41050 Klang, Selangor, Malaysia
Taman Daya Maju, 41050 Klang, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Abadi 10B/Ku8
|
RM 360,000
|
RM 293
|
1,227 sqft
|
|
|
Jalan Beruas 2E/Ku8
|
RM 290,000
|
RM 223
|
1,302 sqft
|
|
Terrace |
|
Jalan Beruas 2E/Ku8
|
RM 340,000
|
RM 261
|
1,302 sqft
|
|
Terrace |
|
Jalan Beruas 2C/Ku8
|
RM 360,000
|
RM 276
|
1,302 sqft
|
|
2-Sty Terrace |
|
Jalan Beruas 2E/Ku8
|
RM 350,000
|
RM 269
|
1,302 sqft
|
|
Terrace |
|
Jalan Abadi 1/Ku8
|
RM 305,000
|
RM 223
|
1,367 sqft
|
|
|
|
Jalan Abadi 1/Ku8
|
RM 350,000
|
RM 256
|
1,367 sqft
|
|
|
Jalan Abadi 1A/Ku8
|
RM 380,000
|
RM 263
|
1,442 sqft
|
|
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Market Snapshot
ResidentialRM 350,000
RM 266 psfMedian transaction price
Taman Daya Maju, 41050 Klang, Selangor, Malaysia
MapsTaman Daya Maju, Meru in Klang, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 350K and a median price per square foot (PSF) of RM 263.
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 350K, with most transactions falling within a stable range of RM 340K to RM 360K, and a typical market range of RM 336K to RM 364K.
Most transactions involved 1 - 1 1/2 storey terraced, with moderate diversity in property types available.
For price per square foot, the median is RM 263, with most transactions between RM 245 and RM 281. The usual range is RM 248.50 to RM 277.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 29.00 and an average deviation (MAD) of RM 18 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.