| Road | Price | PSF | Size | Date | Type |
|---|
|
Jalan Bestari 12/3
|
RM 400,000
|
RM 286
|
1,399 sqft
|
|
Terrace |
|
Jalan Bestari 24/2
|
RM 520,000
|
RM 372
|
1,399 sqft
|
|
Terrace |
|
Jalan Bestari 67/2
|
RM 580,000
|
RM 411
|
1,410 sqft
|
|
2-Sty Terrace |
|
Jalan Bestari 12/2
|
RM 554,000
|
RM 322
|
1,722 sqft
|
|
|
|
Jalan Bestari 9/2
|
RM 720,000
|
RM 418
|
1,722 sqft
|
|
|
Jalan Bestari
|
RM 965,000
|
RM 527
|
1,830 sqft
|
|
|
|
Jalan Bestari 48/2
|
RM 595,000
|
RM 325
|
1,830 sqft
|
|
|
Jalan Bestari 63/2
|
RM 640,000
|
RM 236
|
2,713 sqft
|
|
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Market Snapshot
RM 580,000
RM 372 psfMedian transaction price
RM 640,000
RM 236 psfMedian transaction price
Taman Bestari Indah 1, Ulu Tiram, Johor, Malaysia
MapsTaman Bestari Indah 1 in Johor Bahru, Johor recorded 8 subsale transactions between 2021 and 2026, with a median price of RM 588K and a median price per square foot (PSF) of RM 349.
This area contains both residential and commercial properties. View 379 residential properties or 14 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM 588K, with most transactions falling within a stable range of RM 432K to RM 743K, and a typical market range of RM 408K to RM 767K.
Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.
Price per square foot shows a median of RM 349, though individual units vary from RM 264 to RM 433 in the core range. The broader market spans RM 267.50 to RM 429.50, indicating diverse property characteristics. The spread of RM 162.00 (IQR) and deviation of RM 85 (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.