Residensi Camelia & Lavender, Sungai Long

Jalan Kiara, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Median
RM398,000
PSF
RM377
Period
transactions middle 50% (P25–P75)
1,050 sqft
Condo
RM430,000
Level 8
1,055 sqft · RM408 PSF
RM375,000
Level 10
1,055 sqft · RM355 PSF
RM398,000
Level 16
1,055 sqft · RM377 PSF
RM420,000
Level 9
1,055 sqft · RM398 PSF
RM385,000
Level 15
1,055 sqft · RM365 PSF
RM400,000
Level 12
1,055 sqft · RM379 PSF
+3 more
Legend Recent Highest Price Highest PSF

Selling in Residensi Camelia & Lavender, Sungai Long? Homes here sold for a median of RM398,000.

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Market Snapshot

Residential

RM398,000

RM377 psf

Median transaction price

Residensi Camelia & Lavender, Sungai Long
© OpenStreetMap · CARTO

Jalan Kiara, Bandar Sungai Long, 43000 Kajang, Selangor, Malaysia

Maps

Residensi Camelia & Lavender, Sungai Long in Hulu Langat, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM398K and a median price per square foot (PSF) of RM377.

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 RM398K, with most transactions falling within a stable range of RM385K to RM411K, and a typical market range of RM382K to RM414K.

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

For price per square foot, the median is RM377, with most transactions between RM365 and RM389. The usual range is RM362.30 to RM392.30, showing that most units are priced quite close to each other. A typical spread (IQR) of RM30.00 and an average deviation (MAD) of RM12 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.