Perdana College Heights

71700 Nilai, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
2-Sty Terrace
RM330,000
Jalan Pch 7
1,324 sqft · RM249 PSF
1,450 sqft
2-Sty Terrace
RM450,000
Jalan Pch 13
1,432 sqft · RM314 PSF
1,650 sqft
2-Sty Terrace
RM420,000
Jalan Pch 13
1,647 sqft · RM255 PSF
RM520,000
Jalan Pch 12
1,658 sqft · RM314 PSF
RM685,000
Jalan Nilai - Pajam
1,647 sqft · RM416 PSF
RM430,000
Jalan Beringin Jaya 2
1,647 sqft · RM261 PSF
2,350 sqft
2-Sty Terrace
RM475,000
Jalan Pch 19
2,336 sqft · RM203 PSF
Legend Recent Highest Price Highest PSF

Selling in Perdana College Heights? Homes here sold for a median of RM450,000.

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Market Snapshot

Residential

RM450,000

RM261 psf

Median transaction price

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Perdana College Heights, 71700 Nilai, Negeri Sembilan, Malaysia

Maps

Perdana College Heights in Seremban, Negeri Sembilan recorded 7 subsale transactions in 2023, with a median price of RM450K and a median price per square foot (PSF) of RM261.

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 RM450K, with most transactions falling within a stable range of RM348K to RM552K, and a typical market range of RM400K to RM500K.

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

Price per square foot shows a median of RM261, though individual units vary from RM198 to RM325 in the core range. The broader market spans RM226.85 to RM295.35, indicating diverse property characteristics. The spread of RM68.50 (IQR) and deviation of RM63 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.