Taman Anggerik

81200 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 460,000
PSF
RM 324
Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
2-Sty Terrace
RM 500,000
Jalan Anggerik 1/5
1,410 sqft · RM 355 PSF
RM 730,000
Jalan Anggerik 5/9
1,410 sqft · RM 518 PSF
1,450 sqft
Terrace
RM 370,000
Jalan Anggerik 5/6
1,432 sqft · RM 258 PSF
RM 420,000
Jalan Anggerik 5/4
1,432 sqft · RM 293 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 460,000

RM 324 psf

Median transaction price

RM 800,000

RM 285 psf

Median transaction price

Taman Anggerik
© OpenStreetMap · CARTO

Taman Anggerik, 81200 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Taman Anggerik in Johor Bahru, Johor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 460K and a median price per square foot (PSF) of RM 324.

This area contains both residential and commercial properties. View 53 residential properties or 10 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 460K, with most transactions falling within a stable range of RM 370K to RM 598K, and a typical market range of RM 378K to RM 542K.

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 324, though individual units vary from RM 224 to RM 424 in the core range. The broader market spans RM 276.75 to RM 371.25, indicating diverse property characteristics. A wider spread (IQR: RM 94.50) and deviation (MAD: RM 100) 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.