Taman Lipat Kajang Perdana

Kampung Lipat Kajang, 77000 Jasin, Melaka, Malaysia

Property Transactions

3 subsales grouped by size · Terrace →

Median
RM 240,000
PSF
RM 147
Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
Terrace
RM 240,000
Jalan Lkp 8
1,432 sqft · RM 168 PSF
RM 188,000
Jalan Lkp
1,432 sqft · RM 131 PSF
1,750 sqft
Terrace
RM 260,000
Jalan Lkp 8
1,765 sqft · RM 147 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Lipat Kajang Perdana

What’s happening in Taman Lipat Kajang Perdana?

No posts about Taman Lipat Kajang Perdana yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 240,000

RM 147 psf

Median transaction price

Taman Lipat Kajang Perdana
© OpenStreetMap · CARTO

Taman Lipat Kajang Perdana, Kampung Lipat Kajang, 77000 Jasin, Melaka, Malaysia

Maps

Taman Lipat Kajang Perdana in Jasin, Melaka recorded 3 subsale transactions in 2025, with a median price of RM 240K and a median price per square foot (PSF) of RM 147.

This area contains both residential and commercial properties. View 40 residential properties or 2 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 240K, with most transactions falling within a stable range of RM 210K to RM 260K, and a typical market range of RM 223K to RM 258K.

Most transactions involved 1 - 1 1/2 storey terraced, with minimal variety in property types.

The median PSF stands at RM 147, with core pricing between RM 132 and RM 162. Market pricing typically extends from RM 132.54 to RM 162.04, reflecting moderate variation in unit pricing. With an IQR of RM 29.50 and MAD of RM 15, 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.