Taman Delima

Bandar Banting, 42700 Banting, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 585,000
PSF
RM 328
Price Size
Period
transactions middle 50% (P25–P75)
850 sqft
LC House
RM 225,000
Jalan Delima 9
850 sqft · RM 265 PSF
1,450 sqft
2-Sty Terrace
RM 500,000
Jalan Delima 12
1,453 sqft · RM 344 PSF
2,000 sqft
2-Sty Terrace
RM 745,000
Lorong Delima
2,013 sqft · RM 370 PSF
2,150 sqft
2-Sty Terrace
RM 670,000
Jalan Makmur 45
2,142 sqft · RM 313 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 585,000

RM 328 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 4 subsale transactions between 2021 and 2026, with a median price of RM 585K and a median price per square foot (PSF) of RM 328.

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 585K, with most transactions falling within a stable range of RM 385K to RM 745K, and a typical market range of RM 436K to RM 735K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

The median PSF stands at RM 328, with core pricing between RM 289 and RM 368. Market pricing typically extends from RM 272.39 to RM 384.39, reflecting moderate variation in unit pricing. With an IQR of RM 112.00 and MAD of RM 39, the PSF demonstrates reasonable consistency across the market.

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.