Taman Rashna

41300 Klang, Selangor, Malaysia

Property Transactions

3 subsales grouped by size

Median
RM 1,070,000
PSF
RM 264
Price Size
transactions middle 50% (P25–P75)
1,550 sqft
Terrace
RM 320,000
Jalan Keris 18
1,540 sqft · RM 208 PSF
4,050 sqft
3-Sty Shop
RM 1,070,000
Jalan Batai Laut
4,058 sqft · RM 264 PSF
4,250 sqft
3-Sty Shop
RM 1,280,000
Lorong Dendang
4,241 sqft · RM 302 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Rashna

What’s happening in Taman Rashna?

No posts about Taman Rashna yet. Be the first to share what’s happening here.

Market Snapshot

RM 320,000

RM 208 psf

Median transaction price

RM 1,175,000

RM 283 psf

Median transaction price

Taman Rashna
© OpenStreetMap · CARTO

Taman Rashna, 41300 Klang, Selangor, Malaysia

Maps

Taman Rashna in Klang, Selangor recorded 3 subsale transactions in 2025, with a median price of RM 1.07 million and a median price per square foot (PSF) of RM 264.

This area contains both residential and commercial properties. View 13 residential properties or 10 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 1.07 million, with most transactions falling within a stable range of RM 658K to RM 1.28 million, and a typical market range of RM 816K to RM 1.28 million.

Most transactions involved 3 - 3 1/2 storey shop, with high diversity across multiple property types.

The median PSF stands at RM 264, with core pricing between RM 225 and RM 302. Market pricing typically extends from RM 68.18 to RM 459.18, reflecting moderate variation in unit pricing. With an IQR of RM 391.00 and MAD of RM 39, 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.