Camelia Court

Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

10 subsales grouped by size

Median
RM 230,000
PSF
RM 304
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Flat
RM 207,000
Level G
750 sqft · RM 276 PSF
RM 240,000
Level G
764 sqft · RM 314 PSF
RM 209,000
Level 1
750 sqft · RM 279 PSF
RM 220,000
Level 3
750 sqft · RM 293 PSF
RM 160,000
Level 4
750 sqft · RM 213 PSF
RM 175,000
Level 3
750 sqft · RM 233 PSF
850 sqft
Flat
RM 280,000
Level G
828 sqft · RM 338 PSF
RM 280,000
Level 2
828 sqft · RM 338 PSF
RM 262,000
Level 1
828 sqft · RM 316 PSF
RM 290,000
Level 2
828 sqft · RM 350 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 230,000

RM 304 psf

Median transaction price

Apartment Camelia Court ( Nilai Impian )
© OpenStreetMap · CARTO

Camelia Court, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Camelia Court in Seremban, Negeri Sembilan recorded 10 subsale transactions in 2023, with a median price of RM 230K and a median price per square foot (PSF) of RM 304.

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 230K, with most transactions falling within a stable range of RM 187K to RM 273K, and a typical market range of RM 191K to RM 269K.

Most transactions involved flats, with minimal variety in property types.

The median PSF stands at RM 304, with core pricing between RM 260 and RM 347. Market pricing typically extends from RM 261.06 to RM 346.31, reflecting moderate variation in unit pricing. With an IQR of RM 85.25 and MAD of RM 43, the PSF demonstrates reasonable consistency across the market.

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.