Bkt Ampang Permai

lot 9270 off, Jalan Hulu Langat & Jalan Permai 29, Taman Bukit Ampang, 68000 Ampang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales found

Median
RM200,000
PSF
RM280

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
RM240,000
Level 11
753 sqft RM319 PSF
RM280,000
Level 13
753 sqft RM372 PSF
RM155,000
Level 6
660 sqft RM235 PSF
RM250,000
Level 3
753 sqft RM332 PSF
RM145,000
Level 10
660 sqft RM220 PSF
RM160,000
Level 4
660 sqft RM242 PSF
Legend Recent Highest Price Highest PSF

Selling in Bkt Ampang Permai? Homes here sold for a median of RM200,000.

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Market Snapshot

Residential

RM200,000

RM280 psf

Median transaction price

Bkt Ampang Permai
© OpenStreetMap · CARTO

lot 9270 off, Jalan Hulu Langat & Jalan Permai 29, Taman Bukit Ampang, 68000 Ampang, Selangor, Malaysia

Maps

Bkt Ampang Permai in Hulu Langat, Selangor recorded 6 subsale transactions in 2022, with a median price of RM200K and a median price per square foot (PSF) of RM280.

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 RM200K, with most transactions falling within a stable range of RM147K to RM253K, and a typical market range of RM157K to RM243K.

Most transactions involved flats, though some variety exists in the market.

Price per square foot shows a median of RM280, though individual units vary from RM224 to RM337 in the core range. The broader market spans RM239.49 to RM321.49, indicating diverse property characteristics. The spread of RM82.00 (IQR) and deviation of RM57 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.