Taman Pinggiran Mahkota (Cheras)

Jalan Taman Pinggiran, 43000 Kajang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
2-Sty Terrace
RM638,000
Jalan Mahkota 3
1,313 sqft · RM486 PSF
RM490,000
Jalan Mahkota 3
1,313 sqft · RM373 PSF
RM470,000
Jalan Mahkota 2
1,313 sqft · RM358 PSF
RM850,000
Jalan Mahkota 3
1,313 sqft · RM647 PSF
1,500 sqft
2-Sty Terrace
RM650,000
Jalan Mahkota 7
1,518 sqft · RM428 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM638,000

RM428 psf

Median transaction price

Taman Pinggiran Mahkota (Cheras)
© OpenStreetMap · CARTO

Jalan Taman Pinggiran, 43000 Kajang, Selangor, Malaysia

Maps

Taman Pinggiran Mahkota (Cheras) in Hulu Langat, Selangor recorded 5 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM638K and a median price per square foot (PSF) of RM428.

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 RM638K, with most transactions falling within a stable range of RM501K to RM775K, and a typical market range of RM470K to RM850K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey semi-detached dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM428, though individual units vary from RM324 to RM533 in the core range. The broader market spans RM328.28 to RM528.28, indicating diverse property characteristics. The spread of RM200.00 (IQR) and deviation of RM105 (MAD) suggest moderate price variations reflecting different property features.

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.