Taman Kota Seriemas

Kota Seriemas, 71800 Nilai, Negeri Sembilan, Malaysia

Property Transactions

3 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM420,000
Jalan Laman Bakawali A/3
1,109 sqft · RM379 PSF
RM400,000
Laman Bakawali A/7
1,076 sqft · RM372 PSF
RM350,000
Jalan Laman Bakawali A/13
1,076 sqft · RM325 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Taman Kota Seriemas

No. 218, Jalan Laman Mawar A/10, Taman Kota Seriemas, 71800, Nilai, Negeri Sembilan
Type Reserve Price Terrace RM389,000
PSF Size Auction Date RM278.06 1,399 sqft 15 Sep 2026

Market Snapshot

Residential

RM400,000

RM372 psf

Median transaction price

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Kota Seriemas, 71800 Nilai, Negeri Sembilan, Malaysia

Maps

Taman Kota Seriemas in Seremban, Negeri Sembilan recorded 3 subsale transactions between 2021 and 2026, sized between 1,075 and 1,124 sqft, with a median price of RM400K and a median price per square foot (PSF) of RM372.

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 RM400K, with most transactions falling within a stable range of RM371K to RM420K, and a typical market range of RM350K to RM420K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

For price per square foot, the median is RM372, with most transactions between RM348 and RM395. The usual range is RM299.11 to RM444.11, showing that most units are priced quite close to each other. With an IQR of RM145.00 and MAD of RM24, 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.