PJ One-PJS 1

Seksyen 1 Petaling Jaya, 46000 Petaling Jaya, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

19 subsales grouped by size

Median
RM350,000
PSF
RM348
Period
transactions middle 50% (P25–P75)
1,000 sqft
Condo
RM330,000
Level 1
1,001 sqft · RM330 PSF
RM330,000
Level 1
1,001 sqft · RM330 PSF
RM320,000
Level 5
1,001 sqft · RM320 PSF
RM320,000
Level 3
1,001 sqft · RM320 PSF
RM340,000
Level 8
1,001 sqft · RM340 PSF
RM380,000
Level 2
1,001 sqft · RM380 PSF
+9 more
1,050 sqft
Condo
RM390,000
Level 3
1,033 sqft · RM377 PSF
RM390,000
Level 3
1,033 sqft · RM377 PSF
RM330,000
Level 7
1,033 sqft · RM319 PSF
RM360,000
Level 5
1,033 sqft · RM348 PSF
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Market Snapshot

Residential

RM350,000

RM348 psf

Median transaction price

PJ One-PJS 1
© OpenStreetMap · CARTO

Seksyen 1 Petaling Jaya, 46000 Petaling Jaya, Selangor, Malaysia

Maps

PJ One-PJS 1 in Petaling, Selangor recorded 19 subsale transactions between 2021 and 2026, with a median price of RM350K and a median price per square foot (PSF) of RM348.

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 RM350K, with most transactions falling within a stable range of RM330K to RM370K, and a typical market range of RM331K to RM369K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM348, with most transactions between RM330 and RM366. The usual range is RM329.63 to RM367.13, showing that most units are priced quite close to each other. A typical spread (IQR) of RM37.50 and an average deviation (MAD) of RM18 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.