Taman Maju Jaya
Hot Area · Top 15%56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
Property Type
| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Bunga Matahari 2
|
RM 585,000
|
RM 513
|
1,141 sqft
|
|
|
Lorong Bunga Mawar 1
|
RM 415,000
|
RM 270
|
1,540 sqft
|
|
|
Jalan Bunga Mawar
|
RM 720,000
|
RM 449
|
1,604 sqft
|
|
|
|
Lorong Bunga Matahari 1A
|
RM 740,000
|
RM 461
|
1,604 sqft
|
|
|
Jalan Bunga Melati 2A (17885-Gis)
|
RM 950,000
|
RM 346
|
2,745 sqft
|
|
|
Jalan Bunga Melati 1A
|
RM 750,000
|
RM 147
|
5,105 sqft
|
|
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Market Snapshot
RM 720,000
RM 449 psfMedian transaction price
RM 950,000
RM 346 psfMedian transaction price
Taman Maju Jaya, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia
MapsTaman Maju Jaya in Hulu Langat, Selangor recorded 6 subsale transactions in 2024, with a median price of RM 730K and a median price per square foot (PSF) of RM 398.
This area contains both residential and commercial properties. View 29 residential properties or 3 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 730K, with most transactions falling within a stable range of RM 566K to RM 894K, and a typical market range of RM 618K to RM 842K.
Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 398, though individual units vary from RM 272 to RM 523 in the core range. The broader market spans RM 278.90 to RM 516.15, indicating diverse property characteristics. A wider spread (IQR: RM 237.25) and deviation (MAD: RM 126) indicate significant PSF variations, likely due to diverse property types or conditions.
While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.