1, Taman Bucida Hijauan

1, Taman Bucida Hijauan, 2, Jalan Bucida Hijauan 1, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size · Condo →

Median
RM 410,000
PSF
RM 393
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Condo
RM 300,000
Level 9
721 sqft · RM 416 PSF
RM 350,000
Level 6
721 sqft · RM 485 PSF
1,050 sqft
Condo
RM 410,000
Level 23
1,044 sqft · RM 393 PSF
1,550 sqft
Condo
RM 520,000
Level 13
1,561 sqft · RM 333 PSF
5,250 sqft
Bungalow
RM 1,600,000
Jalan Bucida Hijauan 1/1
5,253 sqft · RM 305 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 410,000

RM 393 psf

Median transaction price

Taman Bucida Hijauan
© OpenStreetMap · CARTO

1, Taman Bucida Hijauan, 2, Jalan Bucida Hijauan 1, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

1, Taman Bucida Hijauan in Seremban, Negeri Sembilan recorded 5 subsale transactions in 2024, with a median price of RM 410K and a median price per square foot (PSF) of RM 393.

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 410K, with most transactions falling within a stable range of RM 300K to RM 898K, and a typical market range of RM 334K to RM 487K.

Most transactions involved condominium/apartment, with minimal variety in property types.

The median PSF stands at RM 393, with core pricing between RM 329 and RM 456. Market pricing typically extends from RM 293.06 to RM 492.31, reflecting moderate variation in unit pricing. The spread of RM 199.25 (IQR) and deviation of RM 64 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.