My Habitat

2, Jalan Aman, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM750,000
PSF
RM803
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
Serviced Apt
RM700,000
Level 23
872 sqft · RM803 PSF
RM665,000
Level 24
872 sqft · RM763 PSF
RM750,000
Level 33
850 sqft · RM882 PSF
1,150 sqft
Serviced Apt
RM1,000,000
Level 16
1,141 sqft · RM876 PSF
1,250 sqft
Serviced Apt
RM1,000,000
Level 22
1,259 sqft · RM794 PSF
Legend Recent Highest Price Highest PSF

Selling in My Habitat? Homes here sold for a median of RM750,000.

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Market Snapshot

Residential

RM750,000

RM803 psf

Median transaction price

My Habitat
© OpenStreetMap · CARTO

2, Jalan Aman, Kampung Datuk Keramat, 55000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

My Habitat in Kuala Lumpur, Kuala Lumpur recorded 5 subsale transactions in 2022, with a median price of RM750K and a median price per square foot (PSF) of RM803.

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 RM750K, with most transactions falling within a stable range of RM665K to RM897K, and a typical market range of RM665K to RM917K.

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

For price per square foot, the median is RM803, with most transactions between RM755 and RM850. The usual range is RM755.52 to RM850.02, showing that most units are priced quite close to each other. With an IQR of RM94.50 and MAD of RM47, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.