Taman Bunga Raya
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Lorong Ria 4
|
RM430,000
|
RM333
|
1,292 sqft
|
|
|
Lorong Ria 1
|
RM545,000
|
RM396
|
1,378 sqft
|
|
|
|
Lorong Maria 3
|
RM630,000
|
RM447
|
1,410 sqft
|
|
|
|
Lorong Ria 3
|
RM588,000
|
RM417
|
1,410 sqft
|
|
|
|
Jalan Masria 4
|
RM580,000
|
RM414
|
1,399 sqft
|
|
|
Lorong Malinja 5
|
RM550,000
|
RM368
|
1,496 sqft
|
|
|
Lorong Masria 1
|
RM780,000
|
RM426
|
1,830 sqft
|
|
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Taman Bunga Raya
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Mukim Setapak
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Market Snapshot
ResidentialRM580,000
RM414 psfMedian transaction price
Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia
MapsTaman Bunga Raya in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions in 2025, with a median price of RM580K and a median price per square foot (PSF) of RM414.
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 RM580K, with most transactions falling within a stable range of RM482K to RM678K, and a typical market range of RM531K to RM629K.
Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.
For price per square foot, the median is RM414, with most transactions between RM379 and RM450. The usual range is RM382.99 to RM445.99, showing that most units are priced quite close to each other. With an IQR of RM63.00 and MAD of RM36, 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. 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.