Taman Lagenda Mas

Pekan Batu 9 Cheras, 43200 Cheras, Selangor, Malaysia

Property Transactions

8 subsales grouped by size · Townhouse →

Median
RM 444,000
PSF
RM 349
Price Size
1,050 sqft
Townhouse
RM 370,000
Level G
1,066 sqft · RM 347 PSF
RM 373,000
Level G
1,066 sqft · RM 350 PSF
1,150 sqft
Townhouse
RM 518,000
Level 1
1,152 sqft · RM 450 PSF
RM 360,000
Level G
1,163 sqft · RM 310 PSF
1,300 sqft
Townhouse
RM 408,000
Level 3
1,292 sqft · RM 316 PSF
RM 600,000
Level 2
1,324 sqft · RM 453 PSF
1,350 sqft
Townhouse
RM 480,000
Level 2
1,345 sqft · RM 357 PSF
2,550 sqft
Townhouse
RM 800,000
Level 3&5
2,530 sqft · RM 316 PSF
8
transactions

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Market Snapshot

Residential

RM 444,000

RM 349 psf

Median transaction price

Taman Lagenda Mas
© OpenStreetMap · CARTO

Pekan Batu 9 Cheras, 43200 Cheras, Selangor, Malaysia

Maps

Taman Lagenda Mas in Hulu Langat, Selangor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 444K and a median price per square foot (PSF) of RM 349.

This area consists exclusively of residential properties, with no commercial listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 444K, with most transactions falling within a stable range of RM 360K to RM 586K, and a typical market range of RM 389K to RM 499K.

Most transactions involved town house, with moderate diversity in property types available.

The median PSF stands at RM 349, with core pricing between RM 295 and RM 403. Market pricing typically extends from RM 301.00 to RM 396.25, reflecting moderate variation in unit pricing. The spread of RM 95.25 (IQR) and deviation of RM 54 (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.