Bandar Saujana Putra

Jenjarom, Selangor, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
650 sqft
Flat
RM195,000
Level 1
635 sqft · RM307 PSF
RM150,000
Level 1
635 sqft · RM236 PSF
RM180,000
Level 1
635 sqft · RM283 PSF
750 sqft
Flat
RM200,000
Level 4
743 sqft · RM269 PSF
RM195,000
Level 4
743 sqft · RM263 PSF
RM200,000
Level 3
743 sqft · RM269 PSF
RM32,000
Level 4
743 sqft · RM43 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM195,000

RM269 psf

Median transaction price

RM400,000

RM303 psf

Median transaction price

Bandar Saujana Putra
© OpenStreetMap · CARTO

Bandar Saujana Putra, Jenjarom, Selangor, Malaysia

Maps

Bandar Saujana Putra in Kuala Langat, Selangor recorded 7 Flat properties subsale transactions between 2021 and 2026, with a median price of RM195K and a median price per square foot (PSF) of RM269.

This area contains both residential and commercial properties. View 641 residential properties or 75 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM195K, with most transactions falling within a stable range of RM138K to RM200K, and a typical market range of RM90K to RM200K.

Within the Flat category, 2 - 2 1/2 storey terraced dominated the market, with high diversity across multiple property types.

Price per square foot shows a median of RM269, though individual units vary from RM187 to RM352 in the core range. The broader market spans RM200.28 to RM338.28, indicating diverse property characteristics. A wider spread (IQR: RM138.00) and deviation (MAD: RM82) 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.