Warisan City View Apartment

Warisan Cityview, 55100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

9 subsales grouped by size

Median
RM 450,000
PSF
RM 494
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM 450,000
Level 8
910 sqft · RM 494 PSF
RM 450,000
Level 16
910 sqft · RM 494 PSF
RM 480,000
Level 9
910 sqft · RM 527 PSF
RM 500,000
Level 7
910 sqft · RM 549 PSF
RM 450,000
Level 16
911 sqft · RM 494 PSF
RM 450,000
Level 18
910 sqft · RM 494 PSF
RM 410,000
Level 6
910 sqft · RM 451 PSF
RM 410,000
Level 17
910 sqft · RM 450 PSF
1,050 sqft
Condo
RM 450,000
Level 9
1,055 sqft · RM 427 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 450,000

RM 494 psf

Median transaction price

Warisan City View Apartment
© OpenStreetMap · CARTO

Warisan Cityview, 55100 Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Warisan City View Apartment in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions in 2022, with a median price of RM 450K and a median price per square foot (PSF) of RM 494.

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 RM 450K, with most transactions falling within a stable range of RM 423K to RM 477K, and a typical market range of RM 419K to RM 482K.

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

For price per square foot, the median is RM 494, with most transactions between RM 458 and RM 531. The usual range is RM 470.28 to RM 518.53, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 48.25 and an average deviation (MAD) of RM 37 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.