| LIST.MY · Pangsa Rakyat College Heights (Pajam) | |||||
|---|---|---|---|---|---|
|
Road
|
Price
|
PSF
|
Size
|
Date
|
Type
|
| 2025 | |||||
|
Level 1
|
RM115,000
|
RM187
|
614 sqft
|
|
LC Flat |
|
Level 1
|
RM95,000
|
RM155
|
614 sqft
|
|
LC Flat |
|
Level 1
|
RM90,000
|
RM147
|
614 sqft
|
|
LC Flat |
|
Level 2
|
RM100,000
|
RM163
|
614 sqft
|
|
LC Flat |
|
Level 1
|
RM70,000
|
RM114
|
614 sqft
|
|
LC Flat |
Selling in Pangsa Rakyat College Heights (Pajam)? Homes here sold for a median of RM95,000.
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PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Bandar Mantin Utama
Market Snapshot
ResidentialRM95,000
RM155 psfMedian transaction price
Taman Permai Jaya, 71700 Mantin, Negeri Sembilan, Malaysia
MapsPangsa Rakyat College Heights (Pajam) in Seremban, Negeri Sembilan recorded 5 subsale transactions in 2025, with a median price of RM95K and a median price per square foot (PSF) of RM155.
This area contains both residential and commercial properties. View 85 residential properties or 1 commercial properties separately for more focused analysis.
Price remained flat, and PSF growth was PSF remained flat. The median price is RM95K, with most transactions falling within a stable range of RM80K to RM110K, and a typical market range of RM87K to RM103K.
Most transactions involved low-cost flat, with minimal variety in property types.
The median PSF stands at RM155, with core pricing between RM131 and RM179. Market pricing typically extends from RM141.22 to RM168.47, reflecting moderate variation in unit pricing. The spread of RM27.25 (IQR) and deviation of RM24 (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.