Taman Bunga Raya, 41000 Klang, Selangor, Malaysia

Property Transactions

5 subsales grouped by size

Median
RM 630,000
PSF
RM 468
Price Size
1,350 sqft
2-Sty Terrace
RM 630,000
Jalan Haji Yaakob 2, Seksyen 1
1,345 sqft · RM 468 PSF
RM 630,000
Seksyen 1
1,345 sqft · RM 468 PSF
RM 630,000
Jalan Bukit Kapar 2 Di Jalan A
1,345 sqft · RM 468 PSF
RM 630,000
Seksyen 1
1,345 sqft · RM 468 PSF
RM 548,000
Jalan Bukit Kapar 2 Di Jalan A
1,345 sqft · RM 407 PSF
Legend Recent Highest Price Highest PSF
Selling in Taman Saga 3? Post a Free Ad

Market Snapshot

Residential

RM 630,000

RM 468 psf

Median transaction price

Taman Saga 3
© OpenStreetMap · CARTO

Taman Saga 3, Taman Bunga Raya, 41000 Klang, Selangor, Malaysia

Maps

Taman Saga 3 in Klang, Selangor recorded 5 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM 630K and a median price per square foot (PSF) of RM 468.

This area contains both residential and commercial properties. View 12 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 RM 630K, with most transactions falling within a stable range of RM 597K to RM 630K, and a typical market range of RM 609K to RM 630K.

Within the Double Storey Terraced category, cluster house dominated the market, with moderate diversity in property types available.

For price per square foot, the median is RM 468, with most transactions between RM 444 and RM 493. The usual range is RM 330.23 to RM 606.23, showing that most units are priced quite close to each other. With an IQR of RM 276.00 and MAD of RM 24, 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. Despite diverse property types, prices remain relatively stable, offering options for different buyer preferences. Limited transaction history suggests carefully evaluating comparable sales data.