Taman Tanming Impian

Taman Taming Impian, 43000 Kajang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
2-Sty Terrace
RM800,000
Jalan Taming Impian 2
1,152 sqft · RM695 PSF
1,200 sqft
2-Sty Terrace
RM430,000
Jalan Taming Impian 3
1,216 sqft · RM354 PSF
RM455,000
Jalan Taming Impian 1
1,216 sqft · RM374 PSF
RM499,000
Jalan Taming Impian 5
1,216 sqft · RM410 PSF
RM370,000
Jalan Taming Impian 1
1,216 sqft · RM304 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Tanming Impian? Homes here sold for a median of RM455,000.

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Market Snapshot

Residential

RM455,000

RM374 psf

Median transaction price

Taman Tanming Impian
© OpenStreetMap · CARTO

Taman Taming Impian, 43000 Kajang, Selangor, Malaysia

Maps

Taman Tanming Impian in Hulu Langat, Selangor recorded 5 subsale transactions in 2022, with a median price of RM455K and a median price per square foot (PSF) of RM374.

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 RM455K, with most transactions falling within a stable range of RM370K to RM605K, and a typical market range of RM398K to RM512K.

Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.

Price per square foot shows a median of RM374, though individual units vary from RM236 to RM512 in the core range. The broader market spans RM305.33 to RM442.83, indicating diverse property characteristics. A wider spread (IQR: RM137.50) and deviation (MAD: RM138) indicate significant PSF variations, likely due to diverse property types or conditions.

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.