Central Park @ Seremban 2

1218, Lorong S2 A29/1, Central Park, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM230,000
PSF
RM242

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
800 sqft
Condo
RM230,000
Level G
818 sqft · RM281 PSF
RM230,000
Level 2
818 sqft · RM281 PSF
1,000 sqft
Condo
RM230,000
Level 3
980 sqft · RM235 PSF
RM179,000
Level 1
980 sqft · RM183 PSF
1,100 sqft
Townhouse
RM260,000
Level 1
1,076 sqft · RM242 PSF
Legend Recent Highest Price Highest PSF

Selling in Central Park @ Seremban 2? Homes here sold for a median of RM230,000.

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Market Snapshot

Residential

RM230,000

RM242 psf

Median transaction price

Central Park @ Seremban 2
© OpenStreetMap · CARTO

1218, Lorong S2 A29/1, Central Park, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

Central Park @ Seremban 2 in Seremban, Negeri Sembilan recorded 5 subsale transactions between 2021 and 2026, with a median price of RM230K and a median price per square foot (PSF) of RM242.

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 RM230K, with most transactions falling within a stable range of RM204K to RM256K, and a typical market range of RM210K to RM250K.

Most transactions involved condominium/apartment, with minimal variety in property types.

The median PSF stands at RM242, with core pricing between RM206 and RM278. Market pricing typically extends from RM232.50 to RM251.50, reflecting moderate variation in unit pricing. The spread of RM19.00 (IQR) and deviation of RM36 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.