Flat Proton-Sek 27 S.alam Bunga Negara
Jalan Kajang 27/1, Seksyen 27, 40400 Shah Alam, Selangor, Malaysia
Jalan Kajang 27/1, Seksyen 27, 40400 Shah Alam, Selangor, Malaysia
New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 160,000
|
RM 265
|
603 sqft
|
|
|
|
Level 1
|
RM 148,000
|
RM 246
|
603 sqft
|
|
|
|
Level G
|
RM 170,000
|
RM 289
|
588 sqft
|
|
|
|
Level 4
|
RM 160,000
|
RM 265
|
603 sqft
|
|
|
|
Level 3
|
RM 160,000
|
RM 265
|
603 sqft
|
|
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Property News
More property news →New Condo in PJ Damansara
Pet friendly condo. 10mins to 1Utama
New Condo in PJ Damansara
From RM 600,000 · 800 sqft
Pet friendly condo. 10mins to 1Utama
Market Snapshot
ResidentialRM 160,000
RM 265 psfMedian transaction price
Jalan Kajang 27/1, Seksyen 27, 40400 Shah Alam, Selangor, Malaysia
MapsFlat Proton-Sek 27 S.alam Bunga Negara in Petaling, Selangor recorded 7 subsale transactions in 2021, with a median price of RM 160K and a median price per square foot (PSF) of RM 265.
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 160K, with most transactions falling within a stable range of RM 153K to RM 167K, and a typical market range of RM 148K to RM 170K.
Most transactions involved low-cost flat, though some variety exists in the market.
For price per square foot, the median is RM 265, with most transactions between RM 251 and RM 280. The usual range is RM 243.44 to RM 287.44, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 44.00 and an average deviation (MAD) of RM 14 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.