Desa Karun Mas

Bandar Kajang, 43000 Kajang, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Median
RM 250,000
PSF
RM 238
Price Size
650 sqft
LC Flat
RM 150,000
Level 1
667 sqft · RM 225 PSF
950 sqft
Condo
RM 180,000
Level 5
970 sqft · RM 186 PSF
1,050 sqft
Condo
RM 290,000
Level 6
1,050 sqft · RM 276 PSF
RM 220,000
Level 1
1,050 sqft · RM 210 PSF
RM 250,000
Level 5
1,050 sqft · RM 238 PSF
1,500 sqft
2-Sty Terrace
RM 450,000
Jalan Karunmas 1
1,496 sqft · RM 301 PSF
2,200 sqft
2-Sty Terrace
RM 630,000
Jalan Karun Mas 3
2,207 sqft · RM 286 PSF
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Market Snapshot

Residential

RM 250,000

RM 238 psf

Median transaction price

Desa Karun Mas
© OpenStreetMap · CARTO

Bandar Kajang, 43000 Kajang, Selangor, Malaysia

Maps

Desa Karun Mas in Hulu Langat, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 250K and a median price per square foot (PSF) of RM 238.

This area contains both residential and commercial properties. View 34 residential properties or 4 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 250K, with most transactions falling within a stable range of RM 150K to RM 409K, and a typical market range of RM 150K to RM 364K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM 238, with core pricing between RM 199 and RM 278. Market pricing typically extends from RM 187.09 to RM 289.09, reflecting moderate variation in unit pricing. The spread of RM 102.00 (IQR) and deviation of RM 40 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.