Taman Rasa Sayang 1 & 2

Taman Rasa Sayang, Bandar Bedong, Kuala Muda, Kedah, Malaysia

Property Transactions

5 subsales grouped by size · Semi-D →

Median
RM 401,000
PSF
RM 167
Price Size
Period
transactions middle 50% (P25–P75)
2,350 sqft
Semi-D
RM 400,000
Lorong 3
2,336 sqft · RM 171 PSF
2,400 sqft
Semi-D
RM 401,000
Lorong 5
2,400 sqft · RM 167 PSF
RM 401,000
Lorong 5
2,400 sqft · RM 167 PSF
RM 401,000
Lorong 3
2,400 sqft · RM 167 PSF
3,100 sqft
Terrace
RM 350,000
Jalan 1
3,122 sqft · RM 112 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Rasa Sayang 1 & 2

What’s happening in Taman Rasa Sayang 1 & 2?

No posts about Taman Rasa Sayang 1 & 2 yet. Be the first to share what’s happening here.

Market Snapshot

Residential

RM 401,000

RM 167 psf

Median transaction price

Loading map...

TAMAN RASA SAYANG 1 & 2, Taman Rasa Sayang, Bandar Bedong, Kuala Muda, Kedah, Malaysia

Taman Rasa Sayang 1 & 2 in Kuala Muda, Kedah recorded 5 subsale transactions in 2025, with a median price of RM 401K and a median price per square foot (PSF) of RM 167.

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 RM 401K, with most transactions falling within a stable range of RM 381K to RM 401K, and a typical market range of RM 350K to RM 401K.

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

The median PSF stands at RM 167, with core pricing between RM 145 and RM 190. Market pricing typically extends from RM 140.56 to RM 193.56, reflecting moderate variation in unit pricing. With an IQR of RM 53.00 and MAD of RM 23, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.