Taman Sri Anggerik

4, Lorong Sri Anggerik 2/2, Kampung Rantau, 71200 Rantau, Negeri Sembilan, Malaysia

Property Transactions

5 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM250,000
Lorong Sri Anggerik 2/1B
1,399 sqft RM179 PSF
RM190,000
Jalan Anggerik 2/1B
1,399 sqft RM136 PSF
RM120,000
Lorong Sri Anggerik 2/1A
1,399 sqft RM86 PSF
RM110,000
Jalan Anggerik Utama
1,399 sqft RM79 PSF
RM170,000
Jalan Sri Anggerik Utama
1,399 sqft RM121 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Sri Anggerik? Homes here sold for a median of RM170,000.

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Market Snapshot

Residential

RM170,000

RM121 psf

Median transaction price

Taman Sri Anggerik
© OpenStreetMap · CARTO

Taman Sri Anggerik, 4, Lorong Sri Anggerik 2/2, Kampung Rantau, 71200 Rantau, Negeri Sembilan, Malaysia

Maps

Taman Sri Anggerik in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, sized between 1,375 and 1,424 sqft, with a median price of RM170K and a median price per square foot (PSF) of RM121.

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 RM170K, with most transactions falling within a stable range of RM119K to RM221K, and a typical market range of RM145K to RM195K.

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

Price per square foot shows a median of RM121, though individual units vary from RM85 to RM158 in the core range. The broader market spans RM103.49 to RM139.49, indicating diverse property characteristics. A wider spread (IQR: RM36.00) and deviation (MAD: RM36) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.