Danau Murni Condominium

Taman Danau Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 300,000
PSF
RM 416
Price Size
700 sqft
Condo
RM 300,000
Level 18
721 sqft · RM 416 PSF
RM 300,000
Level 6
721 sqft · RM 416 PSF
RM 330,000
Level 15
721 sqft · RM 458 PSF
RM 263,000
Level 18
721 sqft · RM 365 PSF
RM 270,000
Level 14
721 sqft · RM 374 PSF
RM 290,000
Level 1
710 sqft · RM 408 PSF
RM 300,000
Level 13
721 sqft · RM 416 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 300,000

RM 416 psf

Median transaction price

Danau Murni Kondominium
© OpenStreetMap · CARTO

Danau Murni Condominium, Taman Danau Desa, 58100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Danau Murni Condominium in Kuala Lumpur, Kuala Lumpur recorded 7 subsale transactions in 2022, with a median price of RM 300K and a median price per square foot (PSF) of RM 416.

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 300K, with most transactions falling within a stable range of RM 279K to RM 321K, and a typical market range of RM 283K to RM 317K.

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

For price per square foot, the median is RM 416, with most transactions between RM 388 and RM 444. The usual range is RM 392.36 to RM 439.61, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 47.25 and an average deviation (MAD) of RM 28 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.