Camelia Court

Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

10 subsales grouped by size

Median
RM230,000
PSF
RM304
Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Flat
RM207,000
Level G
750 sqft · RM276 PSF
RM240,000
Level G
764 sqft · RM314 PSF
RM209,000
Level 1
750 sqft · RM279 PSF
RM220,000
Level 3
750 sqft · RM293 PSF
RM160,000
Level 4
750 sqft · RM213 PSF
RM175,000
Level 3
750 sqft · RM233 PSF
850 sqft
Flat
RM280,000
Level G
828 sqft · RM338 PSF
RM280,000
Level 2
828 sqft · RM338 PSF
RM262,000
Level 1
828 sqft · RM316 PSF
RM290,000
Level 2
828 sqft · RM350 PSF
Legend Recent Highest Price Highest PSF

Selling in Camelia Court? Homes here sold for a median of RM230,000.

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Market Snapshot

Residential

RM230,000

RM304 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 RM230K and a median price per square foot (PSF) of RM304.

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 RM230K, with most transactions falling within a stable range of RM187K to RM273K, and a typical market range of RM191K to RM269K.

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

The median PSF stands at RM304, with core pricing between RM260 and RM347. Market pricing typically extends from RM261.06 to RM346.31, reflecting moderate variation in unit pricing. With an IQR of RM85.25 and MAD of RM43, 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.