Bandar Seri Putra

43000 Kajang, Selangor, Malaysia

Property Transactions

2 subsales grouped by size

Median
RM212,500
PSF
RM295
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Condo
RM225,000
Level 1
721 sqft · RM312 PSF
RM200,000
Level 3
721 sqft · RM277 PSF
Legend Recent Highest Price Highest PSF

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Auction Properties

1 auction properties in Bandar Seri Putra

UNIT NO. B-4-17, TINGKAT 5, PANGSAPURI SERI MAWAR, JALAN SERI PUTRA 4, BANDAR SERI PUTRA, 43000, KAJANG, Selangor
43.5% yield
Type Reserve Price Apartment RM90,000
PSF Size Auction Date RM124.83 721 sqft 07 Sep 2026

Market Snapshot

Residential

RM212,500

RM295 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 2 Condo/Apartment properties subsale transactions between 2021 and 2026, with a median price of RM213K and a median price per square foot (PSF) of RM295.

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 RM213K, with most transactions falling within a stable range of RM200K to RM225K, and a typical market range of RM200K to RM225K.

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

For price per square foot, the median is RM295, with most transactions between RM277 and RM312. The usual range is RM289.66 to RM299.66, showing that most units are priced quite close to each other. A typical spread (IQR) of RM10.00 and an average deviation (MAD) of RM17 indicate a highly stable PSF trend across properties.

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.