| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Nuri Indah 19
|
RM 189,000
|
RM 158
|
1,195 sqft
|
|
LC House |
|
Jalan Nuri Indah 11/1
|
RM 250,000
|
RM 209
|
1,195 sqft
|
|
Terrace |
|
Jalan Nuri Indah 19
|
RM 200,000
|
RM 167
|
1,195 sqft
|
|
LC House |
|
Jalan Nuri Indah 19
|
RM 200,000
|
RM 167
|
1,195 sqft
|
|
LC House |
|
Jalan Nuri Indah 3
|
RM 420,000
|
RM 247
|
1,701 sqft
|
|
|
Lorong Nuri Indah 1/1
|
RM 430,000
|
RM 244
|
1,765 sqft
|
|
2-Sty Terrace |
|
Jalan Nuri Indah 14
|
RM 300,000
|
RM 170
|
1,765 sqft
|
|
Terrace |
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Market Snapshot
ResidentialRM 250,000
RM 170 psfMedian transaction price
36, Jln Nuri Indah 9, Taman bukit Nuri infah, 70300 Seremban, Negeri Sembilan, Malaysia
MapsTaman Bukit Nuri Indah in Seremban, Negeri Sembilan recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 250K and a median price per square foot (PSF) of RM 170.
This area contains both residential and commercial properties. View 40 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 250K, with most transactions falling within a stable range of RM 189K to RM 346K, and a typical market range of RM 189K to RM 351K.
Most transactions involved 1 - 1 1/2 storey terraced, with high diversity across multiple property types.
Price per square foot shows a median of RM 170, though individual units vary from RM 135 to RM 205 in the core range. The broader market spans RM 132.44 to RM 207.44, indicating diverse property characteristics. The spread of RM 75.00 (IQR) and deviation of RM 35 (MAD) suggest moderate price variations reflecting different property features.
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.