Residensi Camelia & Lavender, Sungai Long

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

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 398,000
PSF
RM 377
Price Size
Period
transactions middle 50% (P25–P75)
1,050 sqft
Condo
RM 375,000
Level 10
1,055 sqft · RM 355 PSF
RM 398,000
Level 16
1,055 sqft · RM 377 PSF
RM 420,000
Level 9
1,055 sqft · RM 398 PSF
RM 385,000
Level 15
1,055 sqft · RM 365 PSF
RM 400,000
Level 12
1,055 sqft · RM 379 PSF
RM 390,000
Level 13
1,055 sqft · RM 370 PSF
RM 420,000
Level 17
1,055 sqft · RM 398 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 398,000

RM 377 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 7 subsale transactions in 2024, with a median price of RM 398K and a median price per square foot (PSF) of RM 377.

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 398K, with most transactions falling within a stable range of RM 382K to RM 414K, and a typical market range of RM 382K to RM 414K.

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

For price per square foot, the median is RM 377, with most transactions between RM 362 and RM 392. The usual range is RM 362.30 to RM 392.30, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 30.00 and an average deviation (MAD) of RM 15 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.