Residensi Legendview

Jalan SJ 7, Taman Setia Jaya, 48000 Rawang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

3 subsales grouped by size

Median
RM426,000
PSF
RM414
Price Size
Period
transactions middle 50% (P25–P75)
1,050 sqft
Condo
RM480,000
Level 9
1,029 sqft · RM467 PSF
RM426,000
Level 10
1,029 sqft · RM414 PSF
RM400,000
Level 12
1,029 sqft · RM389 PSF
Legend Recent Highest Price Highest PSF

Selling in Residensi Legendview? Homes here sold for a median of RM426,000.

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Market Snapshot

Residential

RM426,000

RM414 psf

Median transaction price

Average

Does RESIDENSI LEGENDVIEW rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Residensi Legendview
© OpenStreetMap · CARTO

Jalan SJ 7, Taman Setia Jaya, 48000 Rawang, Selangor, Malaysia

Maps

Residensi Legendview in Gombak, Selangor recorded 3 subsale transactions between 2021 and 2026, sized between 1,025 and 1,074 sqft, with a median price of RM426K 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 RM426K, with most transactions falling within a stable range of RM400K to RM459K, and a typical market range of RM400K to RM469K.

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

For price per square foot, the median is RM414, with most transactions between RM382 and RM446. The usual range is RM392.78 to RM435.28, showing that most units are priced quite close to each other. A typical spread (IQR) of RM42.50 and an average deviation (MAD) of RM32 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.