Anggerik Villa

Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

12 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM247,000
Level 7
1,077 sqft RM229 PSF
RM220,000
Level 11
1,109 sqft RM198 PSF
RM220,000
Level 11
1,112 sqft RM198 PSF
RM190,000
Level 8
1,109 sqft RM171 PSF
RM235,000
Level 6
1,109 sqft RM212 PSF
RM190,000
Level 3
1,109 sqft RM171 PSF
RM260,000
Level 4
1,077 sqft RM241 PSF
RM270,000
Level 5
1,109 sqft RM244 PSF
RM300,000
Level 2
1,077 sqft RM279 PSF
RM230,000
Level 2
1,109 sqft RM207 PSF
RM210,000
Level 10
1,076 sqft RM195 PSF
RM230,000
Level 9
1,077 sqft RM214 PSF
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Market Snapshot

Residential

RM230,000

RM210 psf

Median transaction price

Anggerik Villa
© OpenStreetMap · CARTO

Bandar Teknologi Kajang, 43500 Semenyih, Selangor, Malaysia

Maps

Anggerik Villa in Hulu Langat, Selangor recorded 12 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM230K 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 RM230K, with most transactions falling within a stable range of RM199K to RM261K, and a typical market range of RM198K to RM262K.

Most transactions involved flats, with moderate diversity in property types available.

The median PSF stands at RM210, with core pricing between RM180 and RM239. Market pricing typically extends from RM190.21 to RM229.21, reflecting moderate variation in unit pricing. With an IQR of RM39.00 and MAD of RM30, the PSF demonstrates reasonable consistency across the market.

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.