Taman Mega Jaya

56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM91,000
PSF
RM134
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC Flat
RM42,000
Level 6
678 sqft · RM62 PSF
RM170,000
Level 2
678 sqft · RM251 PSF
RM140,000
Level 4
678 sqft · RM206 PSF
RM42,000
Level 4
678 sqft · RM62 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Mega Jaya? Homes here sold for a median of RM91,000.

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Market Snapshot

Residential

RM91,000

RM134 psf

Median transaction price

Taman Mega Jaya
© OpenStreetMap · CARTO

Taman Mega Jaya, 56100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Taman Mega Jaya in Hulu Langat, Selangor recorded 4 Low-Cost Flat properties subsale transactions between 2021 and 2026, with a median price of RM91K and a median price per square foot (PSF) of RM134.

This area contains both residential and commercial properties. View 4 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 RM91K, with most transactions falling within a stable range of RM42K to RM148K, and a typical market range of RM42K to RM155K.

Within the Low-Cost Flat category, low-cost flat dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM134, though individual units vary from RM49 to RM219 in the core range. The broader market spans RM39.69 to RM228.69, indicating diverse property characteristics. A wider spread (IQR: RM189.00) and deviation (MAD: RM85) indicate significant PSF variations, likely due to diverse property types or conditions.

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.