Taman Jalong Utara

Taman Bukit Medan, Sungei Siput, 31100, Kuala Kangsar, Perak, Malaysia

Property Transactions

7 subsales grouped by size

Period
transactions middle 50% (P25–P75)
1,750 sqft
Terrace
RM245,000
Taman Jalong Utara
1,765 sqft · RM139 PSF
RM190,000
Jalan Jalong Utara 1
1,765 sqft · RM108 PSF
RM180,000
Jalong
1,765 sqft · RM102 PSF
1,850 sqft
2-Sty Terrace
RM380,000
Taman Jalong Utara
1,830 sqft · RM208 PSF
2,000 sqft
2-Sty Terrace
RM400,000
Jalan Jalong -Sungai Siput
2,002 sqft · RM200 PSF
RM420,000
Jalan Jalong Utara 3
2,626 sqft · RM160 PSF
RM480,000
Jalan Jalong -Sungai Siput
2,659 sqft · RM181 PSF
Legend Recent Highest Price Highest PSF

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TAMAN JALONG UTARA, Taman Bukit Medan, Sungei Siput, 31100, Kuala Kangsar, Perak, Malaysia

Taman Jalong Utara in Kuala Kangsar, Perak recorded 7 subsale transactions between 2021 and 2026, with a median price of RM380K and a median price per square foot (PSF) of RM160.

This area contains both residential and commercial properties. View 6 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 RM380K, with most transactions falling within a stable range of RM280K to RM480K, and a typical market range of RM284K to RM476K.

Most transactions involved 2 - 2 1/2 storey terraced, with moderate diversity in property types available.

Price per square foot shows a median of RM160, though individual units vary from RM123 to RM197 in the core range. The broader market spans RM107.42 to RM212.42, indicating diverse property characteristics. The spread of RM105.00 (IQR) and deviation of RM37 (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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.