Taman Cermai Impian

Jln Cermai Impian 3, Kampung Gadong Jaya, 71800 Labu, Negeri Sembilan, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM407,500
PSF
RM265
Period
transactions middle 50% (P25–P75)
1,600 sqft
2-Sty Terrace
RM455,000
Jalan Cermai Impian 3
1,582 sqft · RM288 PSF
RM500,000
Jalan Cermai Impian 3
1,582 sqft · RM316 PSF
RM420,000
Jalan Cermai Impian 2
1,582 sqft · RM265 PSF
1,850 sqft
2-Sty Terrace
RM395,000
Jalan Cermai Impian 4
1,830 sqft · RM216 PSF
RM350,000
Jalan Cermai Impian 2
1,830 sqft · RM191 PSF
RM375,000
Jalan Cermai Impian 2
1,830 sqft · RM205 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM407,500

RM296 psf

Median transaction price

Taman Cermai Impian
© OpenStreetMap · CARTO

Jln Cermai Impian 3, Kampung Gadong Jaya, 71800 Labu, Negeri Sembilan, Malaysia

Maps

Taman Cermai Impian in Seremban, Negeri Sembilan recorded 6 subsale transactions between 2021 and 2026, with a median price of RM408K and a median price per square foot (PSF) of RM265.

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 RM408K, with most transactions falling within a stable range of RM368K to RM448K, and a typical market range of RM374K to RM441K.

Most transactions involved 2 - 2 1/2 storey terraced, with minimal variety in property types.

For price per square foot, the median is RM265, with most transactions between RM239 and RM292. The usual range is RM243.69 to RM287.19, showing that most units are priced quite close to each other. A typical spread (IQR) of RM43.50 and an average deviation (MAD) of RM27 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.