Tiffani Kiara

Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM1,075,000
PSF
RM585
Price Size
Period
transactions middle 50% (P25–P75)
1,600 sqft
Condo
RM1,000,000
Level 16
1,615 sqft · RM619 PSF
1,750 sqft
Condo
RM1,150,000
Level 22
1,744 sqft · RM659 PSF
RM920,000
Level 16
1,744 sqft · RM528 PSF
3,650 sqft
Condo
RM2,000,000
Level 8
3,627 sqft · RM551 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM1,075,000

RM585 psf

Median transaction price

Average

Does TIFFANI KIARA rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Perdana Botanical Gardens, 50480 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Tiffani Kiara in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2021, with a median price of RM1.08 million and a median price per square foot (PSF) of RM585.

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 RM1.08 million, with most transactions falling within a stable range of RM920K to RM1.51 million, and a typical market range of RM920K to RM1.56 million.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM585, with most transactions between RM533 and RM638. The usual range is RM557.35 to RM613.35, showing that most units are priced quite close to each other. With an IQR of RM56.00 and MAD of RM53, 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.