Skim Perumahan Desa Changkat Lada

Perak, Perak Tengah, Pasir Salak

Property Transactions

10 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,400 sqft
LC House
RM95,000
Persiaran Lada 4
1,399 sqft · RM68 PSF
RM90,000
Persiaran Lada
1,399 sqft · RM64 PSF
RM76,000
Persiaran Lada 1
1,399 sqft · RM54 PSF
RM180,000
Persiaran Lada 13
2,100 sqft · RM86 PSF
RM100,000
Persiaran Lada 1
2,099 sqft · RM48 PSF
RM120,000
Persiaran Lada 22
2,099 sqft · RM57 PSF
3,200 sqft
Semi-D
RM280,000
Persiaran Lada 7
3,197 sqft · RM88 PSF
RM155,000
Persiaran Lada 15
3,197 sqft · RM48 PSF
RM255,000
Persiaran Lada 1
3,197 sqft · RM80 PSF
6,150 sqft
Semi-D
RM200,000
Persiaran Lada 13
6,168 sqft · RM32 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM95,000

RM64 psf

Median transaction price

Skim Perumahan Desa Changkat Lada in Perak Tengah, Perak recorded 10 subsale transactions between 2021 and 2026, with a median price of RM138K and a median price per square foot (PSF) of RM64.

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 RM138K, with most transactions falling within a stable range of RM93K to RM183K, and a typical market range of RM88K to RM187K.

Most transactions involved low-cost house, with moderate diversity in property types available.

The median PSF stands at RM64, with core pricing between RM52 and RM77. Market pricing typically extends from RM50.57 to RM78.07, reflecting moderate variation in unit pricing. The spread of RM27.50 (IQR) and deviation of RM13 (MAD) suggest moderate price variations reflecting different property features.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.