Taman Meranti Jaya

47100 Puchong, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM2,533,500
PSF
RM534
Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
2-Sty Terrace
RM680,000
Jalan Meranti Jaya 1/7
1,679 sqft · RM405 PSF
2,700 sqft
Terrace Factory
RM1,567,000
Jalan Meranti Jaya 8
2,723 sqft · RM575 PSF
5,150 sqft
Terrace Factory
RM3,500,000
Jalan Meranti Jaya 11
5,167 sqft · RM677 PSF
10,150 sqft
Semi-D Factory
RM5,000,000
Jalan Tpm 1
10,172 sqft · RM492 PSF
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Market Snapshot

RM680,000

RM405 psf

Median transaction price

RM3,500,000

RM575 psf

Median transaction price

Taman Meranti Jaya
© OpenStreetMap · CARTO

Taman Meranti Jaya, 47100 Puchong, Selangor, Malaysia

Maps

Taman Meranti Jaya in Sepang, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM2.53 million and a median price per square foot (PSF) of RM534.

This area contains both residential and commercial properties. View 40 residential properties or 29 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM2.53 million, with most transactions falling within a stable range of RM853K to RM4.21 million, and a typical market range of RM2.28 million to RM2.78 million.

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

The median PSF stands at RM534, with core pricing between RM433 and RM634. Market pricing typically extends from RM452.50 to RM614.50, reflecting moderate variation in unit pricing. The spread of RM162.00 (IQR) and deviation of RM101 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.