|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
|---|---|---|---|---|---|
| 2022 | |||||
|
Level 8
|
RM 338,000
|
RM 338
|
1,001 sqft
|
|
Condo |
|
Level 11
|
RM 300,000
|
RM 300
|
1,001 sqft
|
|
Condo |
|
Level 6
|
RM 350,000
|
RM 350
|
1,001 sqft
|
|
Condo |
|
Level 3
|
RM 340,000
|
RM 376
|
903 sqft
|
|
Condo |
|
Level 1
|
RM 350,000
|
RM 378
|
925 sqft
|
|
Condo |
|
Level 2
|
RM 252,000
|
RM 272
|
925 sqft
|
|
Condo |
|
Level 10
|
RM 320,000
|
RM 346
|
925 sqft
|
|
Condo |
|
Level 9
|
RM 400,000
|
RM 338
|
1,184 sqft
|
|
Condo |
|
Level 4
|
RM 343,000
|
RM 371
|
926 sqft
|
|
Condo |
Unlock full transaction history
Sign up free to access all data for Hillview Loft - Tr. 64.
Promote your property to visitors of this page
Market Snapshot
ResidentialRM 340,000
RM 346 psfMedian transaction price
12, Jalan Melur, Kampung Istana, 83000 Batu Pahat, Johor Darul Ta'zim, Malaysia
MapsHillview Loft - Tr. 64 in Batu Pahat, Johor recorded 9 subsale transactions in 2022, with a median price of RM 340K and a median price per square foot (PSF) of RM 346.
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 340K, with most transactions falling within a stable range of RM 302K to RM 378K, and a typical market range of RM 319K to RM 361K.
Most transactions involved condominium/apartment, with minimal variety in property types.
For price per square foot, the median is RM 346, with most transactions between RM 313 and RM 379. The usual range is RM 318.22 to RM 373.72, showing that most units are priced quite close to each other. With an IQR of RM 55.50 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. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.