Taman Bukit Sendayan

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

Property Transactions

2 subsales found

Median
RM287,500
PSF
RM221
Price Size
Period
transactions middle 50% (P25–P75)
RM300,000
Jalan Bukit Sendayan 21
1,302 sqft RM230 PSF
RM275,000
Jalan Bukit Sendayan 21
1,302 sqft RM211 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

RM287,500

RM221 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 2026, with a median price of RM288K and a median price per square foot (PSF) of RM221.

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 RM288K, with most transactions falling within a stable range of RM275K to RM300K, and a typical market range of RM275K to RM300K.

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

For price per square foot, the median is RM221, with most transactions between RM211 and RM230. The usual range is RM207.50 to RM233.50, showing that most units are priced quite close to each other. A typical spread (IQR) of RM26.00 and an average deviation (MAD) of RM10 indicate a highly stable PSF trend across properties.

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.