Taman Delima

Bandar Banting, 42700 Banting, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 1,170,000
PSF
RM 170
Price Size
Period
transactions middle 50% (P25–P75)
5,050 sqft
Bungalow
RM 1,300,000
Jalan Delima 43
5,044 sqft · RM 258 PSF
5,600 sqft
Bungalow
RM 950,000
Jalan Marmar 50 (Pl 539)
5,597 sqft · RM 170 PSF
11,200 sqft
Bungalow
RM 1,170,000
Jalan Marmar 50
11,205 sqft · RM 104 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 1,170,000

RM 170 psf

Median transaction price

RM 650,000

RM 434 psf

Median transaction price

Average

Rental Yield Data

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Taman Delima
© OpenStreetMap · CARTO

Bandar Banting, 42700 Banting, Selangor, Malaysia

Maps

Taman Delima in Kuala Langat, Selangor recorded 3 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 1.17 million and a median price per square foot (PSF) of RM 170.

This area contains both residential and commercial properties. View 40 residential properties or 1 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.17 million, with most transactions falling within a stable range of RM 1.03 million to RM 1.30 million, and a typical market range of RM 1.02 million to RM 1.30 million.

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

Price per square foot shows a median of RM 170, though individual units vary from RM 107 to RM 233 in the core range. The broader market spans RM 113.73 to RM 225.73, indicating diverse property characteristics. A wider spread (IQR: RM 112.00) and deviation (MAD: RM 63) indicate significant PSF variations, likely due to diverse property types or conditions.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.