Tiara Sendayan - Presint 13

Jalan Tiara Sendayan 13/9, Taman Tiara, 71900 Sendayan, Negeri Sembilan, Malaysia

Property Transactions

15 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
RM330,000
Jalan Tiara Sendayan 13/5
1,302 sqft · RM253 PSF
RM250,000
Precint 13 (Ayana)
1,302 sqft · RM192 PSF
RM250,000
Precint 13
1,302 sqft · RM192 PSF
RM330,000
Jalan Tiara Sendayan 13/5
1,302 sqft · RM253 PSF
RM380,000
Precint 13
1,302 sqft · RM292 PSF
RM300,000
Precint 13
1,302 sqft · RM230 PSF
+9 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM250,000

RM192 psf

Median transaction price

Tiara Sendayan - Presint 13
© OpenStreetMap · CARTO

Jalan Tiara Sendayan 13/9, Taman Tiara, 71900 Sendayan, Negeri Sembilan, Malaysia

Maps

Tiara Sendayan - Presint 13 in Seremban, Negeri Sembilan recorded 15 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM250K and a median price per square foot (PSF) of RM192.

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 RM250K, with most transactions falling within a stable range of RM225K to RM298K, and a typical market range of RM225K to RM321K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM192, with core pricing between RM155 and RM229. Market pricing typically extends from RM159.08 to RM224.83, reflecting moderate variation in unit pricing. The spread of RM65.75 (IQR) and deviation of RM37 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.