Taman Putra Impian

Bandar Seri Putra, 43000 Kajang, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM327,500
PSF
RM317
Price Size
Period
transactions middle 50% (P25–P75)
950 sqft
Condo
RM335,000
Level 5
958 sqft · RM350 PSF
RM300,000
Level 12
958 sqft · RM313 PSF
RM285,000
Level 6
958 sqft · RM297 PSF
1,050 sqft
Condo
RM336,000
Level 7
1,044 sqft · RM322 PSF
RM320,000
Level 13
1,044 sqft · RM306 PSF
RM300,000
Level 16
1,044 sqft · RM287 PSF
RM380,000
Level 6
1,044 sqft · RM364 PSF
RM365,000
Level 9
1,044 sqft · RM350 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Putra Impian? Homes here sold for a median of RM327,500.

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Market Snapshot

Residential

RM327,500

RM317 psf

Median transaction price

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Taman Putra Impian, Bandar Seri Putra, 43000 Kajang, Selangor, Malaysia

Maps

Taman Putra Impian in Hulu Langat, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM328K and a median price per square foot (PSF) of RM317.

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 RM328K, with most transactions falling within a stable range of RM297K to RM358K, and a typical market range of RM298K to RM358K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM317, with most transactions between RM292 and RM343. The usual range is RM293.48 to RM341.48, showing that most units are priced quite close to each other. A typical spread (IQR) of RM48.00 and an average deviation (MAD) of RM26 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.