Mesa Hill Apartment

Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

10 subsales found

Median
RM170,500
PSF
RM486
Price Size
Period
transactions middle 50% (P25–P75)
RM170,000
Level 17
350 sqft RM486 PSF
RM165,000
Level 22
350 sqft RM471 PSF
RM168,000
Level 21
350 sqft RM480 PSF
RM180,000
Level 18
350 sqft RM514 PSF
RM170,000
Level 15
350 sqft RM486 PSF
RM171,000
Level 22
350 sqft RM489 PSF
RM165,000
Level 14
350 sqft RM471 PSF
RM242,000
Level 9
450 sqft RM538 PSF
RM248,000
Level 13
460 sqft RM539 PSF
RM280,000
Level 15
650 sqft RM431 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM170,500

RM486 psf

Median transaction price

Mesa Hill Apartment
© OpenStreetMap · CARTO

Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Mesa Hill Apartment in Seremban, Negeri Sembilan recorded 10 subsale transactions in 2022, with a median price of RM171K and a median price per square foot (PSF) of RM486.

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 RM171K, with most transactions falling within a stable range of RM165K to RM212K, and a typical market range of RM165K to RM229K.

Most transactions involved condominium/apartment, though some variety exists in the market.

For price per square foot, the median is RM486, with most transactions between RM455 and RM517. The usual range is RM462.91 to RM508.41, showing that most units are priced quite close to each other. A typical spread (IQR) of RM45.50 and an average deviation (MAD) of RM31 indicate a highly stable PSF trend across properties.

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.