Bukit Saujana Apartment

Yahya Awal, 80000 Johor Bahru, Johor Darul Ta'zim, Malaysia

Property Transactions

8 subsales grouped by size

Median
RM 260,000
PSF
RM 238
Price Size
Period
transactions middle 50% (P25–P75)
900 sqft
Condo
RM 230,000
Level 9
904 sqft · RM 254 PSF
RM 200,000
Level 2
904 sqft · RM 221 PSF
1,000 sqft
Condo
RM 250,000
Level 7
1,001 sqft · RM 250 PSF
RM 230,000
Level 8
980 sqft · RM 235 PSF
1,200 sqft
Condo
RM 290,000
Level 12
1,206 sqft · RM 241 PSF
RM 275,000
Level 4
1,206 sqft · RM 228 PSF
RM 270,000
Level 3
1,206 sqft · RM 224 PSF
RM 290,000
Level 2
1,206 sqft · RM 241 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 260,000

RM 238 psf

Median transaction price

Apartment Bkt Saujana
© OpenStreetMap · CARTO

Bukit Saujana Apartment, Yahya Awal, 80000 Johor Bahru, Johor Darul Ta'zim, Malaysia

Maps

Bukit Saujana Apartment in Johor Bahru, Johor recorded 8 subsale transactions in 2021, with a median price of RM 260K and a median price per square foot (PSF) of RM 238.

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 260K, with most transactions falling within a stable range of RM 230K to RM 290K, and a typical market range of RM 243K to RM 278K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM 238, with most transactions between RM 227 and RM 249. The usual range is RM 216.43 to RM 258.93, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 42.50 and an average deviation (MAD) of RM 11 indicate a highly stable PSF trend across properties.

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.