| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 4
|
RM 258,000
|
RM 208
|
1,238 sqft
|
|
|
|
Level 4
|
RM 230,000
|
RM 186
|
1,238 sqft
|
|
|
|
Level 3
|
RM 278,000
|
RM 223
|
1,249 sqft
|
|
|
Level 24
|
RM 440,000
|
RM 264
|
1,668 sqft
|
|
|
|
Level 12
|
RM 430,000
|
RM 258
|
1,668 sqft
|
|
|
|
Level 12
|
RM 430,000
|
RM 258
|
1,668 sqft
|
|
|
|
Level 3
|
RM 495,000
|
RM 297
|
1,668 sqft
|
|
|
|
Level 13
|
RM 498,000
|
RM 298
|
1,668 sqft
|
|
|
Level 10
|
RM 495,000
|
RM 289
|
1,711 sqft
|
|
|
|
Level 12
|
RM 300,000
|
RM 175
|
1,711 sqft
|
|
|
|
Level 3
|
RM 500,000
|
RM 294
|
1,701 sqft
|
|
|
|
Level 2
|
RM 490,000
|
RM 286
|
1,711 sqft
|
|
|
|
Level 25
|
RM 390,000
|
RM 231
|
1,690 sqft
|
|
|
|
Level 6
|
RM 420,000
|
RM 245
|
1,711 sqft
|
|
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Market Snapshot
ResidentialRM 430,000
RM 258 psfMedian transaction price
Aloha Towers, Sri Gelam, 80100 Johor Bahru, Johor Darul Ta'zim, Malaysia
MapsAloha Towers in Johor Bahru, Johor recorded 19 subsale transactions in 2023, with a median price of RM 430K and a median price per square foot (PSF) of RM 258.
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 430K, with most transactions falling within a stable range of RM 344K to RM 500K, and a typical market range of RM 374K to RM 486K.
Most transactions involved condominium/apartment, with minimal variety in property types.
The median PSF stands at RM 258, with core pricing between RM 221 and RM 295. Market pricing typically extends from RM 230.23 to RM 285.23, reflecting moderate variation in unit pricing. With an IQR of RM 55.00 and MAD of RM 37, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.