Taman Segaman

5, Jln Seri Baiduri 2, Bandar Teknologi Kajang, 43500 Kajang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

5 subsales grouped by size

Median
RM 150,000
PSF
RM 204
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC Flat
RM 150,000
Level G
710 sqft · RM 211 PSF
RM 145,000
Level 1
710 sqft · RM 204 PSF
RM 150,000
Level 4
710 sqft · RM 211 PSF
RM 90,000
Level 4
710 sqft · RM 127 PSF
850 sqft
LC Flat
RM 160,000
Level 3
840 sqft · RM 191 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 150,000

RM 204 psf

Median transaction price

Taman Segaman
© OpenStreetMap · CARTO

5, Jln Seri Baiduri 2, Bandar Teknologi Kajang, 43500 Kajang, Selangor, Malaysia

Maps

Taman Segaman in Hulu Langat, Selangor recorded 5 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 204.

This area contains both residential and commercial properties. View 9 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 150K, with most transactions falling within a stable range of RM 125K to RM 160K, and a typical market range of RM 90K to RM 160K.

Within the Low-Cost Flat category, low-cost flat dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 204, with core pricing between RM 172 and RM 236. Market pricing typically extends from RM 138.10 to RM 270.10, reflecting moderate variation in unit pricing. The spread of RM 132.00 (IQR) and deviation of RM 32 (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.