Tiara Sendayan - Presint 13

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

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Terrace
RM300,000
Precint 13
1,302 sqft · RM230 PSF
RM225,000
Tiara Sendayan 13
1,302 sqft · RM173 PSF
RM225,000
Precint 13
1,302 sqft · RM173 PSF
1,400 sqft
Terrace
RM569,000
Precint 13
1,399 sqft · RM407 PSF
RM540,000
Precint 13
1,399 sqft · RM386 PSF
3,000 sqft
Terrace
RM816,000
Precint 13
3,003 sqft · RM272 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM420,000

RM251 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 6 subsale transactions in 2023, with a median price of RM420K and a median price per square foot (PSF) of RM251.

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 RM420K, with most transactions falling within a stable range of RM225K to RM636K, and a typical market range of RM349K to RM491K.

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

Price per square foot shows a median of RM251, though individual units vary from RM157 to RM345 in the core range. The broader market spans RM218.16 to RM283.91, indicating diverse property characteristics. A wider spread (IQR: RM65.75) and deviation (MAD: RM94) indicate significant PSF variations, likely due to diverse property types or conditions.

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.