38 Bidara

38 Bidara Service Suite, Jalan Bedara, Bukit Bintang, 50250 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales found

Median
RM432,500
PSF
RM769
Period
transactions middle 50% (P25–P75)
RM3,500,000
Level G
3,165 sqft RM1,106 PSF
RM360,000
Level 13
420 sqft RM858 PSF
RM450,000
Level 17
689 sqft RM653 PSF
RM595,000
Level 12
872 sqft RM682 PSF
RM530,000
Level 15
689 sqft RM769 PSF
RM415,000
Level 12
657 sqft RM632 PSF
RM280,000
Level 8
420 sqft RM667 PSF
RM360,000
Level 15
420 sqft RM858 PSF
Legend Recent Highest Price Highest PSF

Selling in 38 Bidara? Homes here sold for a median of RM432,500.

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38 Bidara Service Suite, Jalan Bedara, Bukit Bintang, 50250 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

38 Bidara in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions between 2021 and 2026, with a median price of RM433K and a median price per square foot (PSF) of RM769.

This area contains both residential and commercial properties. View 7 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM433K, with most transactions falling within a stable range of RM348K to RM518K, and a typical market range of RM339K to RM526K.

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

The median PSF stands at RM769, with core pricing between RM686 and RM852. Market pricing typically extends from RM672.10 to RM866.60, reflecting moderate variation in unit pricing. With an IQR of RM194.50 and MAD of RM83, 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.