Taman Segaman

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

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RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,100 sqft
2-Sty Terrace
RM365,000
Jalan Bj 1
1,076 sqft · RM339 PSF
RM420,000
Jalan Bj1
1,076 sqft · RM390 PSF
1,450 sqft
2-Sty Terrace
RM450,000
Jalan Bj 3
1,464 sqft · RM307 PSF
RM480,000
Jalan Bj 3
1,464 sqft · RM328 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM435,000

RM333 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 4 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM435K and a median price per square foot (PSF) of RM333.

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 RM435K, with most transactions falling within a stable range of RM393K to RM477K, and a typical market range of RM365K to RM480K.

Within the Double Storey Terraced category, low-cost flat dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM333, with most transactions between RM303 and RM364. The usual range is RM267.49 to RM399.49, showing that most units are priced quite close to each other. With an IQR of RM132.00 and MAD of RM31, the PSF demonstrates reasonable consistency across the market.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.