Flat Proton-Sek 27 S.alam Bunga Negara

Jalan Kajang 27/1, Seksyen 27, 40400 Shah Alam, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 200,000
PSF
RM 269
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Flat
RM 150,000
Level 3
678 sqft · RM 221 PSF
RM 155,000
Level 1
678 sqft · RM 229 PSF
RM 140,000
Level 1
678 sqft · RM 206 PSF
750 sqft
Flat
RM 210,000
Level 2
743 sqft · RM 283 PSF
RM 190,000
Level 7
743 sqft · RM 256 PSF
RM 250,000
Level 3
743 sqft · RM 337 PSF
RM 250,000
Level 3
743 sqft · RM 337 PSF
RM 220,000
Level 7
743 sqft · RM 296 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 200,000

RM 269 psf

Median transaction price

Flat Proton-Sek 27 S.alam Bunga Negara
© OpenStreetMap · CARTO

Jalan Kajang 27/1, Seksyen 27, 40400 Shah Alam, Selangor, Malaysia

Maps

Flat Proton-Sek 27 S.alam Bunga Negara in Petaling, Selangor recorded 8 Flat properties subsale transactions between 2021 and 2026, with a median price of RM 200K and a median price per square foot (PSF) of RM 269.

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 200K, with most transactions falling within a stable range of RM 159K to RM 241K, and a typical market range of RM 181K to RM 219K.

Within the Flat category, low-cost flat dominated the market, though some variety exists in the market.

The median PSF stands at RM 269, with core pricing between RM 222 and RM 317. Market pricing typically extends from RM 247.28 to RM 291.28, reflecting moderate variation in unit pricing. The spread of RM 44.00 (IQR) and deviation of RM 48 (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.