Nilai Starz Valley

Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

11 subsales grouped by size

Median
RM 160,000
PSF
RM 462
Price Size
300 sqft
Serviced Apt
RM 145,000
Level 08
323 sqft · RM 449 PSF
RM 160,000
Level 7
301 sqft · RM 531 PSF
RM 145,000
Level 11
301 sqft · RM 481 PSF
350 sqft
Serviced Apt
RM 148,000
Level 08
344 sqft · RM 430 PSF
RM 170,000
Level 8
344 sqft · RM 494 PSF
RM 160,000
Level 11
344 sqft · RM 465 PSF
RM 180,000
Level 2
334 sqft · RM 539 PSF
RM 154,000
Level 7
334 sqft · RM 462 PSF
400 sqft
Serviced Apt
RM 180,000
Level 2
398 sqft · RM 452 PSF
550 sqft
Serviced Apt
RM 202,000
Level 7-8
527 sqft · RM 383 PSF
750 sqft
Serviced Apt
RM 238,000
Level 7
764 sqft · RM 311 PSF
Legend Recent Highest Price Highest PSF

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Nilai Starz Valley
© OpenStreetMap · CARTO

Bandar Nilai Utama, Nilai Impian, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Nilai Starz Valley in Seremban, Negeri Sembilan recorded 11 subsale transactions between 2021 and 2026, with a median price of RM 160K and a median price per square foot (PSF) of RM 462.

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 160K, with most transactions falling within a stable range of RM 145K to RM 187K, and a typical market range of RM 145K to RM 177K.

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

The median PSF stands at RM 462, with core pricing between RM 400 and RM 523. Market pricing typically extends from RM 428.52 to RM 494.52, reflecting moderate variation in unit pricing. With an IQR of RM 66.00 and MAD of RM 62, 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.