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 140,000
|
RM 232
|
603 sqft
|
|
|
|
Level 3
|
RM 170,000
|
RM 282
|
603 sqft
|
|
|
|
Level 3
|
RM 140,000
|
RM 232
|
603 sqft
|
|
|
Level 7
|
RM 190,000
|
RM 256
|
743 sqft
|
|
|
|
Level 3
|
RM 250,000
|
RM 337
|
743 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 178,000
RM 262 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 2024, with a median price of RM 178K and a median price per square foot (PSF) of RM 262.
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 178K, with most transactions falling within a stable range of RM 140K to RM 216K, and a typical market range of RM 159K to RM 197K.
Most transactions involved low-cost flat, though some variety exists in the market.
Price per square foot shows a median of RM 262, though individual units vary from RM 207 to RM 318 in the core range. The broader market spans RM 240.49 to RM 284.49, indicating diverse property characteristics. The spread of RM 44.00 (IQR) and deviation of RM 56 (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.