Perdana College Heights

71700 Nilai, Negeri Sembilan, Malaysia

Property Transactions

7 subsales grouped by size · 2-Sty Terrace →

Median
RM 450,000
PSF
RM 261
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
2-Sty Terrace
RM 330,000
Jalan Pch 7
1,324 sqft · RM 249 PSF
1,450 sqft
2-Sty Terrace
RM 450,000
Jalan Pch 13
1,432 sqft · RM 314 PSF
1,650 sqft
2-Sty Terrace
RM 420,000
Jalan Pch 13
1,647 sqft · RM 255 PSF
RM 520,000
Jalan Pch 12
1,658 sqft · RM 314 PSF
RM 685,000
Jalan Nilai - Pajam
1,647 sqft · RM 416 PSF
RM 430,000
Jalan Beringin Jaya 2
1,647 sqft · RM 261 PSF
2,350 sqft
2-Sty Terrace
RM 475,000
Jalan Pch 19
2,336 sqft · RM 203 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 450,000

RM 261 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 RM 450K and a median price per square foot (PSF) of RM 261.

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 450K, with most transactions falling within a stable range of RM 348K to RM 552K, and a typical market range of RM 400K to RM 500K.

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

Price per square foot shows a median of RM 261, though individual units vary from RM 198 to RM 325 in the core range. The broader market spans RM 226.85 to RM 295.35, indicating diverse property characteristics. The spread of RM 68.50 (IQR) and deviation of RM 63 (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.