Taman Lagenda, Labis

Taman Lagenda, 85300 Labis, Johor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 400,000
PSF
RM 159
Price Size
Period
transactions middle 50% (P25–P75)
1,700 sqft
Terrace
RM 235,000
Jalan Lagenda 5
1,711 sqft · RM 137 PSF
RM 260,000
Jalan Lagenda 6
1,711 sqft · RM 152 PSF
1,850 sqft
2-Sty Terrace
RM 530,000
Jalan Lagenda
1,873 sqft · RM 283 PSF
RM 613,000
Jalan Lagenda
1,873 sqft · RM 327 PSF
2,700 sqft
Semi-D
RM 450,000
Jalan Lagenda 2
2,713 sqft · RM 166 PSF
3,450 sqft
Terrace
RM 350,000
Jalan Lagenda 5
3,455 sqft · RM 101 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 400,000

RM 159 psf

Median transaction price

Taman Lagenda, Labis
© OpenStreetMap · CARTO

Taman Lagenda, 85300 Labis, Johor, Malaysia

Maps

Taman Lagenda, Labis in Segamat, Johor recorded 6 subsale transactions in 2024, with a median price of RM 400K and a median price per square foot (PSF) of RM 159.

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 400K, with most transactions falling within a stable range of RM 262K to RM 538K, and a typical market range of RM 304K to RM 496K.

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

Price per square foot shows a median of RM 159, though individual units vary from RM 77 to RM 241 in the core range. The broader market spans RM 125.91 to RM 191.91, indicating diverse property characteristics. A wider spread (IQR: RM 66.00) and deviation (MAD: RM 82) 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.