Taman Andalas

113, Jln Andalas 2, Mantin, Negeri Sembilan, Malaysia

Property Transactions

8 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM42,000
Level 2
646 sqft · RM65 PSF
RM25,000
Level 3
646 sqft · RM39 PSF
1,200 sqft
Terrace
RM265,000
Jalan Andalas 4
1,195 sqft · RM222 PSF
1,300 sqft
Terrace
RM268,000
Jalan Andalas 1
1,302 sqft · RM206 PSF
RM225,000
Jalan Andalas
1,302 sqft · RM173 PSF
RM230,000
Jalan Andalas 1
1,302 sqft · RM177 PSF
RM265,000
Jalan Andalas 2
1,302 sqft · RM203 PSF
2,400 sqft
Terrace
RM360,000
Jalan Andalas 1
2,411 sqft · RM149 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM247,500

RM175 psf

Median transaction price

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113, Jln Andalas 2, Mantin, Negeri Sembilan, Malaysia

Maps

Taman Andalas in Seremban, Negeri Sembilan recorded 8 subsale transactions in 2022, with a median price of RM248K and a median price per square foot (PSF) of RM175.

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 RM248K, with most transactions falling within a stable range of RM139K to RM356K, and a typical market range of RM226K to RM269K.

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

Price per square foot shows a median of RM175, though individual units vary from RM112 to RM238 in the core range. The broader market spans RM140.17 to RM209.17, indicating diverse property characteristics. A wider spread (IQR: RM69.00) and deviation (MAD: RM63) 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.