Bandar Seri Putra

43000 Kajang, Selangor, Malaysia

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RM600K
Size
800 sqft

Property Transactions

10 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM850,000
2,271 sqft
RM374 PSF · Semi-D
RM795,000
2,271 sqft
RM350 PSF · Cluster
RM710,000
1,593 sqft
RM446 PSF
RM606,000
1,593 sqft
RM380 PSF
RM500,000
1,593 sqft
RM314 PSF
RM1,100,000
5,543 sqft
RM198 PSF
RM1,275,000
4,402 sqft
RM290 PSF
RM565,000
1,593 sqft
RM355 PSF
RM580,000
1,690 sqft
RM343 PSF
RM650,000
1,528 sqft
RM425 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM500,000

RM329 psf

Median transaction price

High

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Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Bandar Seri Putra
© OpenStreetMap · CARTO

Bandar Seri Putra, 43000 Kajang, Selangor, Malaysia

Maps

Bandar Seri Putra in Hulu Langat, Selangor recorded 19 subsale transactions between 2021 and 2026, with a median price of RM500K and a median price per square foot (PSF) of RM339.

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 RM500K, with most transactions falling within a stable range of RM289K to RM711K, and a typical market range of RM300K to RM700K.

Most transactions involved condominium/apartment, with high diversity across multiple property types.

The median PSF stands at RM339, with core pricing between RM303 and RM375. Market pricing typically extends from RM306.75 to RM371.25, reflecting moderate variation in unit pricing. With an IQR of RM64.50 and MAD of RM36, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.