Sri Angsana Hilir Condominium

A,B & C, Sri Angsana Hilir Condominium, Jalan Hilir 3, Desa Pandan, 55100 Kuala Lumpur, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales found

Median
RM145,000
PSF
RM218
Price Size
Period
transactions middle 50% (P25–P75)
RM95,000
Level 2
672 sqft RM141 PSF
RM150,000
Level G
665 sqft RM226 PSF
RM140,000
Level 4
667 sqft RM210 PSF
RM180,000
Level 1
665 sqft RM271 PSF
Legend Recent Highest Price Highest PSF

Selling in Sri Angsana Hilir Condominium? Homes here sold for a median of RM145,000.

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Market Snapshot

Residential

RM145,000

RM218 psf

Median transaction price

Taman Sri Ampang Hilir / Angsana Hilir
© OpenStreetMap · CARTO

A,B & C, Sri Angsana Hilir Condominium, Jalan Hilir 3, Desa Pandan, 55100 Kuala Lumpur, Selangor, Malaysia

Maps

Sri Angsana Hilir Condominium in Hulu Langat, Selangor recorded 4 subsale transactions between 2021 and 2026, sized between 625 and 674 sqft, with a median price of RM145K and a median price per square foot (PSF) of RM218.

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 RM145K, with most transactions falling within a stable range of RM115K to RM175K, and a typical market range of RM121K to RM169K.

Most transactions involved low-cost flat, though some variety exists in the market.

Price per square foot shows a median of RM218, though individual units vary from RM171 to RM264 in the core range. The broader market spans RM201.44 to RM233.94, indicating diverse property characteristics. The spread of RM32.50 (IQR) and deviation of RM46 (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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.