Taman Saga

81000 Kulai, Johor Darul Ta'zim, Malaysia

Property Transactions

9 subsales grouped by size · Terrace →

Median
RM 290,000
PSF
RM 278
Price Size
Period
transactions middle 50% (P25–P75)
RM 300,000
Jalan Saga 6
1,044 sqft · RM 287 PSF
RM 245,000
Jalan Saga 7
1,044 sqft · RM 235 PSF
RM 290,000
Jalan Saga
1,044 sqft · RM 278 PSF
RM 330,000
Jalan Saga 2
1,044 sqft · RM 316 PSF
RM 280,000
Jalan Saga 7
1,044 sqft · RM 268 PSF
RM 310,000
Jalan Saga 5
1,044 sqft · RM 297 PSF
RM 290,000
Jalan Saga 9
1,044 sqft · RM 278 PSF
RM 290,000
Jalan Saga 1
1,044 sqft · RM 278 PSF
2,700 sqft
Terrace
RM 350,000
Jalan Saga 6
2,691 sqft · RM 130 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 290,000

RM 278 psf

Median transaction price

Taman Saga
© OpenStreetMap · CARTO

Taman Saga, 81000 Kulai, Johor Darul Ta'zim, Malaysia

Maps

Taman Saga in Kulai, Johor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 290K and a median price per square foot (PSF) of RM 278.

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 290K, with most transactions falling within a stable range of RM 262K to RM 318K, and a typical market range of RM 255K to RM 325K.

Most transactions involved 1 - 1 1/2 storey terraced, though some variety exists in the market.

The median PSF stands at RM 278, with core pricing between RM 226 and RM 329. Market pricing typically extends from RM 241.75 to RM 313.75, reflecting moderate variation in unit pricing. The spread of RM 72.00 (IQR) and deviation of RM 51 (MAD) suggest moderate price variations reflecting different property features.

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.