Valencia

47000 Sungai Buloh, Selangor, Malaysia

Property Transactions

13 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Condo
RM280,000
Level 2
764 sqft · RM366 PSF
RM275,000
Level 3
764 sqft · RM360 PSF
RM256,000
Level 3
764 sqft · RM335 PSF
RM315,000
Level 1
764 sqft · RM412 PSF
RM265,000
Level 2
764 sqft · RM347 PSF
RM300,000
Level 2
764 sqft · RM393 PSF
RM310,000
Level G
764 sqft · RM406 PSF
850 sqft
Condo
RM260,000
Level 4
872 sqft · RM298 PSF
RM290,000
Level 2
872 sqft · RM333 PSF
RM299,000
Level 2
872 sqft · RM343 PSF
RM257,000
Level 4
872 sqft · RM295 PSF
RM350,000
Level 1
872 sqft · RM401 PSF
900 sqft
Condo
RM250,000
Level 2
883 sqft · RM283 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM280,000

RM347 psf

Median transaction price

Low

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Valencia
© OpenStreetMap · CARTO

Valencia, 47000 Sungai Buloh, Selangor, Malaysia

Maps

Valencia in Gombak, Selangor recorded 13 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM280K and a median price per square foot (PSF) of RM347.

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 RM280K, with most transactions falling within a stable range of RM252K to RM308K, and a typical market range of RM250K to RM350K.

Within the Condo/Apartment category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

The median PSF stands at RM347, with core pricing between RM305 and RM388. Market pricing typically extends from RM215.88 to RM477.63, reflecting moderate variation in unit pricing. With an IQR of RM261.75 and MAD of RM42, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.