Taman Bukit Nuri Indah

36, Jln Nuri Indah 9, Taman bukit Nuri infah, 70300 Seremban, Negeri Sembilan, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 1,104,000
PSF
RM 203
Price Size
Period
transactions middle 50% (P25–P75)
4,850 sqft
Semi-D
RM 1,049,000
Jalan Nuri Indah 9
4,869 sqft · RM 215 PSF
5,300 sqft
Semi-D
RM 1,184,000
Jalan Nuri Indah 9
5,278 sqft · RM 224 PSF
5,750 sqft
Semi-D
RM 1,097,000
Jalan Nuri Indah 9
5,737 sqft · RM 191 PSF
6,000 sqft
Semi-D
RM 1,111,000
Jalan Nuri Indah 9
6,023 sqft · RM 184 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 1,104,000

RM 203 psf

Median transaction price

Taman Bukit Nuri Indah
© OpenStreetMap · CARTO

36, Jln Nuri Indah 9, Taman bukit Nuri infah, 70300 Seremban, Negeri Sembilan, Malaysia

Maps

Taman Bukit Nuri Indah in Seremban, Negeri Sembilan recorded 4 subsale transactions in 2024, with a median price of RM 1.10 million and a median price per square foot (PSF) of RM 203.

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 RM 1.10 million, with most transactions falling within a stable range of RM 1.06 million to RM 1.15 million, and a typical market range of RM 1.08 million to RM 1.13 million.

Most transactions involved 2 - 2 1/2 storey semi-detached, with minimal variety in property types.

For price per square foot, the median is RM 203, with most transactions between RM 187 and RM 220. The usual range is RM 189.34 to RM 217.34, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 28.00 and an average deviation (MAD) of RM 17 indicate a highly stable PSF trend across properties.

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.