Taman Serintin

LOT 853 862, BATU 12 Jalan, 71700 Mantin, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,500 sqft
2-Sty Terrace
RM638,000
Jalan Surian 3
1,518 sqft · RM420 PSF
RM505,000
Jalan Surian 2
1,518 sqft · RM333 PSF
2,700 sqft
2-Sty Shop
RM950,000
Jalan Surian 11
2,680 sqft · RM354 PSF
3,450 sqft
2-Sty Shop
RM1,294,000
Jalan Surian 11
3,466 sqft · RM373 PSF
RM1,399,000
Jalan Surian 11
3,434 sqft · RM407 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Serintin? Homes here sold for a median of RM950,000.

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Market Snapshot

Residential

RM571,500

RM377 psf

Median transaction price

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LOT 853 862, BATU 12 Jalan, 71700 Mantin, Negeri Sembilan, Malaysia

Maps

Taman Serintin in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, with a median price of RM950K and a median price per square foot (PSF) of RM373.

This area contains both residential and commercial properties. View 8 residential properties or 5 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM950K, with most transactions falling within a stable range of RM599K to RM1.30 million, and a typical market range of RM667K to RM1.23 million.

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

For price per square foot, the median is RM373, with most transactions between RM340 and RM406. The usual range is RM268.00 to RM478.00, showing that most units are priced quite close to each other. With an IQR of RM210.00 and MAD of RM33, the PSF demonstrates reasonable consistency across the market.

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.