Taman Lipat Kajang Perdana

Kampung Lipat Kajang, 77000 Jasin, Melaka, Malaysia

Property Transactions

7 subsales grouped by size · Terrace →

Median
RM 210,000
PSF
RM 147
Price Size
Period
transactions middle 50% (P25–P75)
1,450 sqft
Terrace
RM 210,000
Jalan Lkp 7
1,432 sqft · RM 147 PSF
RM 190,000
Jalan Lkp 3
1,432 sqft · RM 133 PSF
RM 220,000
Jalan Lkp 9
1,432 sqft · RM 154 PSF
RM 220,000
Jalan Lkp 3
1,432 sqft · RM 154 PSF
RM 230,000
Jalan Lkp 1
1,442 sqft · RM 159 PSF
RM 205,000
Jalan Lkp 6
1,432 sqft · RM 143 PSF
1,900 sqft
Terrace
RM 205,000
Jalan Lkp 9
1,884 sqft · RM 109 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 210,000

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 7 subsale transactions in 2021, with a median price of RM 210K 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 210K, with most transactions falling within a stable range of RM 198K to RM 222K, and a typical market range of RM 193K to RM 228K.

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 131 and RM 163. Market pricing typically extends from RM 131.94 to RM 161.44, reflecting moderate variation in unit pricing. With an IQR of RM 29.50 and MAD of RM 16, 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.