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

7 subsales found

Median
RM165,000
PSF
RM210
Period
transactions middle 50% (P25–P75)
RM800,000
Jalan Hilir 5
1,367 sqft RM585 PSF
RM105,000
Level 2
600 sqft RM175 PSF
RM95,000
Level 2
672 sqft RM141 PSF
RM150,000
Level G
665 sqft RM226 PSF
RM240,000
Level 16
1,267 sqft RM189 PSF
RM140,000
Level 4
667 sqft RM210 PSF
RM180,000
Level 1
665 sqft RM271 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM165,000

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 7 subsale transactions between 2021 and 2026, with a median price of RM165K and a median price per square foot (PSF) of RM210.

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 RM165K, with most transactions falling within a stable range of RM145K to RM185K, and a typical market range of RM141K to RM189K.

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

For price per square foot, the median is RM210, with most transactions between RM191 and RM228. The usual range is RM193.53 to RM226.03, showing that most units are priced quite close to each other. A typical spread (IQR) of RM32.50 and an average deviation (MAD) of RM19 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.