Taman Jalong Baru

Taman Happy, Sungei Siput, 31100, Kuala Kangsar, Perak, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
2,450 sqft
2-Sty Shop
RM475,000
Jalong-Lintang
2,454 sqft · RM194 PSF
RM480,000
Jalan Jalong
2,454 sqft · RM196 PSF
3,050 sqft
2-Sty Shop
RM420,000
Jalan Tjb 6
3,057 sqft · RM137 PSF
RM450,000
Jalan Tjb 6
3,057 sqft · RM147 PSF
RM438,000
Taman Jalong Baru
3,057 sqft · RM143 PSF
4,850 sqft
2-Sty Shop
RM830,000
Jalan Dato See Khoon Lim
4,855 sqft · RM171 PSF
Legend Recent Highest Price Highest PSF

Selling in Taman Jalong Baru? Homes here sold for a median of RM462,500.

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TAMAN JALONG BARU, Taman Happy, Sungei Siput, 31100, Kuala Kangsar, Perak, Malaysia

Taman Jalong Baru in Kuala Kangsar, Perak recorded 6 Double Storey Shop properties subsale transactions between 2021 and 2026, with a median price of RM463K and a median price per square foot (PSF) of RM159.

This area contains both residential and commercial properties. View 5 residential properties or 6 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM463K, with most transactions falling within a stable range of RM420K to RM605K, and a typical market range of RM420K to RM555K.

Within the Double Storey Shop category, 2 - 2 1/2 storey shop dominated the market, with moderate diversity in property types available.

The median PSF stands at RM159, with core pricing between RM136 and RM183. Market pricing typically extends from RM95.59 to RM222.59, reflecting moderate variation in unit pricing. With an IQR of RM127.00 and MAD of RM24, the PSF demonstrates reasonable consistency across the market.

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.