Taman Bukit Sendayan

79, Jln Bukit Sendayan 13, Taman Bukit Sendayan, 71950 Seremban, Negeri Sembilan, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM260,000
PSF
RM200
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Terrace
RM220,000
Jalan Bukit Sendayan 21
1,302 sqft · RM169 PSF
RM300,000
Jalan Bukit Sendayan 5
1,302 sqft · RM230 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Taman Bukit Sendayan

No. 526, Jalan Bukit Sendayan 20, Taman Bukit Sendayan, 71900, Labu, Negeri Sembilan
Type Reserve Price Terrace RM168,000
PSF Size Auction Date RM128.99 1,302 sqft 26 Aug 2026

Market Snapshot

Residential

RM260,000

RM200 psf

Median transaction price

Taman Bukit Sendayan
© OpenStreetMap · CARTO

79, Jln Bukit Sendayan 13, Taman Bukit Sendayan, 71950 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Bukit Sendayan in Seremban, Negeri Sembilan recorded 2 subsale transactions in 2025, with a median price of RM260K and a median price per square foot (PSF) of RM200.

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 RM260K, with most transactions falling within a stable range of RM220K to RM300K, and a typical market range of RM245K to RM275K.

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

The median PSF stands at RM200, with core pricing between RM169 and RM230. Market pricing typically extends from RM186.50 to RM212.50, reflecting moderate variation in unit pricing. The spread of RM26.00 (IQR) and deviation of RM31 (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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.