Desa Merpati

44000 Kerling, Selangor, Malaysia

Property Transactions

7 subsales grouped by size · LC House →

Median
RM 240,000
PSF
RM 209
Price Size
1,100 sqft
LC House
RM 220,000
Jalan Merpati 3
1,098 sqft · RM 200 PSF
RM 230,000
Jalan Merpati 5
1,098 sqft · RM 209 PSF
RM 230,000
Jalan Merpati 1
1,195 sqft · RM 193 PSF
RM 400,000
Jalan Merpati 10
1,195 sqft · RM 335 PSF
RM 250,000
Jalan Merpati 4
1,195 sqft · RM 209 PSF
1,300 sqft
LC House
RM 240,000
Jalan Merpati 19
1,324 sqft · RM 181 PSF
2,050 sqft
2-Sty Shop
RM 625,000
Jalan Merpati 2
2,056 sqft · RM 304 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 235,000

RM 205 psf

Median transaction price

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Desa Merpati, 44000 Kerling, Selangor, Malaysia

Maps

Desa Merpati in Sepang, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 240K and a median price per square foot (PSF) of RM 209.

This area contains both residential and commercial properties. View 8 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 240K, with most transactions falling within a stable range of RM 220K to RM 380K, and a typical market range of RM 225K to RM 255K.

Most transactions involved low-cost house, though some variety exists in the market.

Price per square foot shows a median of RM 209, though individual units vary from RM 153 to RM 265 in the core range. The broader market spans RM 200.24 to RM 218.24, indicating diverse property characteristics. A wider spread (IQR: RM 18.00) and deviation (MAD: RM 56) indicate significant PSF variations, likely due to diverse property types or conditions.

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.