| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 8
|
RM 225,000
|
RM 536
|
420 sqft
|
|
|
|
Level 7
|
RM 205,000
|
RM 488
|
420 sqft
|
|
|
Level 4
|
RM 220,000
|
RM 499
|
441 sqft
|
|
|
|
Level 2
|
RM 240,000
|
RM 544
|
441 sqft
|
|
|
Level 8
|
RM 243,000
|
RM 461
|
527 sqft
|
|
|
|
Level 5
|
RM 260,000
|
RM 493
|
527 sqft
|
|
|
Level 20
|
RM 400,000
|
RM 422
|
947 sqft
|
|
|
|
Level 19
|
RM 400,000
|
RM 413
|
969 sqft
|
|
|
|
Level 17
|
RM 370,000
|
RM 382
|
969 sqft
|
|
Posts about Pangsapuri Kebun Teh
No posts about Pangsapuri Kebun Teh yet. Be the first to share what’s happening here.
Other Areas in Bandar Johor Bahru
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 243,000
RM 488 psfMedian transaction price
Pangsapuri Fasa, 13, Jln Padi Malinja, Bandar Baru Uda, 81200 Johor Bahru, Johor Darul Ta'zim, Malaysia
MapsPangsapuri Kebun Teh in Johor Bahru, Johor recorded 9 subsale transactions in 2024, with a median price of RM 243K and a median price per square foot (PSF) of RM 488.
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 243K, with most transactions falling within a stable range of RM 205K to RM 319K, and a typical market range of RM 205K to RM 326K.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 488, with core pricing between RM 436 and RM 541. Market pricing typically extends from RM 435.34 to RM 541.34, reflecting moderate variation in unit pricing. With an IQR of RM 106.00 and MAD of RM 53, the PSF demonstrates reasonable consistency across the market.
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.