Taman Makmur

70200 Seremban, Negeri Sembilan, Malaysia

Property Transactions

8 subsales found

Price Size
Period
transactions middle 50% (P25–P75)
RM195,000
Lorong Bijih Timah 14/1
1,195 sqft RM163 PSF
RM200,000
Jalan Bijih Timah 11
1,195 sqft RM167 PSF
RM120,000
Level 3
657 sqft RM183 PSF
RM268,000
Lorong Bijih Timah 10/3
1,765 sqft RM152 PSF
RM82,000
Level G
657 sqft RM125 PSF
RM62,000
Level 4
657 sqft RM94 PSF
RM88,000
Level G
657 sqft RM134 PSF
RM750,000
Jalan Tun Dr Ismail
1,991 sqft RM377 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Makmur? Homes here sold for a median of RM157,500.

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Market Snapshot

Residential

RM157,500

RM158 psf

Median transaction price

Taman Makmur
© OpenStreetMap · CARTO

Taman Makmur, 70200 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Makmur in Seremban, Negeri Sembilan recorded 8 subsale transactions in 2022, with a median price of RM158K and a median price per square foot (PSF) of RM158.

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 RM158K, with most transactions falling within a stable range of RM62K to RM368K, and a typical market range of RM62K to RM272K.

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

Price per square foot shows a median of RM158, though individual units vary from RM77 to RM238 in the core range. The broader market spans RM128.89 to RM186.14, indicating diverse property characteristics. A wider spread (IQR: RM57.25) and deviation (MAD: RM81) 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.