Taman Sri Lekir (P/L 1534,1535,1540,1541)

Perak, Manjung, Lekir

Property Transactions

7 subsales grouped by size · Terrace →

Median
RM 320,000
PSF
RM 200
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
Terrace
RM 320,000
Jalan Lekir
1,399 sqft · RM 229 PSF
RM 320,000
Laluan Sri Lekir 17
1,399 sqft · RM 229 PSF
1,450 sqft
Terrace
RM 322,000
Jalan Beringin
1,432 sqft · RM 225 PSF
1,550 sqft
Terrace
RM 200,000
Jalan Seri Lekir 12
1,539 sqft · RM 130 PSF
1,650 sqft
Terrace
RM 331,000
Jalan Lekir
1,658 sqft · RM 200 PSF
2,700 sqft
Semi-D
RM 340,000
Laluan Seri Lekir 18
2,723 sqft · RM 125 PSF
2,800 sqft
Semi-D
RM 300,000
Laluan Seri Lekir 7
2,799 sqft · RM 107 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 320,000

RM 200 psf

Median transaction price

Taman Sri Lekir (P/L 1534,1535,1540,1541) in Manjung, Perak recorded 7 subsale transactions in 2025, with a median price of RM 320K and a median price per square foot (PSF) of RM 200.

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 320K, with most transactions falling within a stable range of RM 276K to RM 340K, and a typical market range of RM 300K to RM 340K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM 200, though individual units vary from RM 149 to RM 250 in the core range. The broader market spans RM 149.68 to RM 249.68, indicating diverse property characteristics. A wider spread (IQR: RM 100.00) and deviation (MAD: RM 51) indicate significant PSF variations, likely due to diverse property types or conditions.

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.