Taman Paling Jaya

43500 Semenyih, Selangor, Malaysia

Property Transactions

9 subsales grouped by size

Period
transactions middle 50% (P25–P75)
850 sqft
LC House
RM 300,000
Jalan Kenari
829 sqft · RM 362 PSF
RM 295,000
Jalan Kenari
829 sqft · RM 356 PSF
RM 399,000
Jalan Kenari
829 sqft · RM 481 PSF
RM 250,000
Jalan Kenari
829 sqft · RM 302 PSF
RM 480,000
Jalan Kemunting
1,410 sqft · RM 340 PSF
RM 265,000
Jalan Kekabu
1,399 sqft · RM 189 PSF
RM 420,000
Jalan Kekabu.
1,399 sqft · RM 300 PSF
RM 400,000
Jalan Kenari
1,406 sqft · RM 285 PSF
2,300 sqft
2-Sty Shop
RM 1,200,000
Jalan Paling Jaya 1
2,314 sqft · RM 519 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 349,500

RM 321 psf

Median transaction price

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Taman Paling Jaya, 43500 Semenyih, Selangor, Malaysia

Maps

Taman Paling Jaya in Hulu Langat, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 399K and a median price per square foot (PSF) of RM 340.

This area contains both residential and commercial properties. View 8 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 399K, with most transactions falling within a stable range of RM 300K to RM 498K, and a typical market range of RM 337K to RM 462K.

Most transactions involved low-cost house, with high diversity across multiple property types.

The median PSF stands at RM 340, with core pricing between RM 300 and RM 380. Market pricing typically extends from RM 309.41 to RM 371.41, reflecting moderate variation in unit pricing. With an IQR of RM 62.00 and MAD of RM 40, 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.