Saujana Impian
Bandar Kajang, 43000 Kajang, Selangor, Malaysia
Bandar Kajang, 43000 Kajang, Selangor, Malaysia
| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 1
|
RM 140,000
|
RM 210
|
667 sqft
|
|
|
|
Level 3
|
RM 150,000
|
RM 226
|
665 sqft
|
|
|
|
Level 4
|
RM 120,000
|
RM 180
|
667 sqft
|
|
|
|
Level 4
|
RM 130,000
|
RM 198
|
657 sqft
|
|
|
Level 4
|
RM 150,000
|
RM 221
|
678 sqft
|
|
|
|
Level 2
|
RM 165,000
|
RM 243
|
678 sqft
|
|
|
|
Level 3
|
RM 110,000
|
RM 162
|
678 sqft
|
|
|
|
Level G
|
RM 180,000
|
RM 265
|
678 sqft
|
|
|
|
Level 1
|
RM 160,000
|
RM 236
|
678 sqft
|
|
|
|
Level 2
|
RM 120,000
|
RM 177
|
678 sqft
|
|
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Market Snapshot
ResidentialRM 150,000
RM 221 psfMedian transaction price
Bandar Kajang, 43000 Kajang, Selangor, Malaysia
MapsSaujana Impian in Hulu Langat, Selangor recorded 17 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM 150K and a median price per square foot (PSF) of RM 221.
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 150K, with most transactions falling within a stable range of RM 123K to RM 177K, and a typical market range of RM 100K to RM 217K.
Within the Low-Cost Flat category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.
The median PSF stands at RM 221, with core pricing between RM 186 and RM 257. Market pricing typically extends from RM 143.70 to RM 298.70, reflecting moderate variation in unit pricing. The spread of RM 155.00 (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.