Taman Sri Pandan

81100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

6 subsales grouped by size · LC House →

Median
RM 330,000
PSF
RM 278
Price Size
Period
transactions middle 50% (P25–P75)
1,050 sqft
LC House
RM 250,000
Jalan Kiambang 9
1,044 sqft · RM 239 PSF
RM 320,000
Jalan Kiambang
1,044 sqft · RM 306 PSF
RM 330,000
Jalan Kiambang 5
1,044 sqft · RM 316 PSF
1,250 sqft
LC House
RM 330,000
Jalan Kiambang 8
1,249 sqft · RM 264 PSF
1,550 sqft
LC House
RM 450,000
Jalan Kiambang 8
1,539 sqft · RM 292 PSF
RM 350,000
Jalan Kiambang 4
1,539 sqft · RM 227 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 330,000

RM 278 psf

Median transaction price

Taman Sri Pandan
© OpenStreetMap · CARTO

Taman Sri Pandan, 81100 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Taman Sri Pandan in Johor Bahru, Johor recorded 6 subsale transactions in 2024, with a median price of RM 330K and a median price per square foot (PSF) of RM 278.

This area contains both residential and commercial properties. View 18 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 RM 330K, with most transactions falling within a stable range of RM 271K to RM 389K, and a typical market range of RM 298K to RM 363K.

Most transactions involved low-cost house, with moderate diversity in property types available.

The median PSF stands at RM 278, with core pricing between RM 245 and RM 312. Market pricing typically extends from RM 240.32 to RM 316.32, reflecting moderate variation in unit pricing. With an IQR of RM 76.00 and MAD of RM 33, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.