Taman Chempedak Indah

Kedah, Yan, Bandar Guar Chempedak

Property Transactions

13 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM328,000
2,562 sqft
RM128 PSF · Semi-D
RM238,000
1,399 sqft
RM170 PSF · Terrace
RM309,000
2,562 sqft
RM121 PSF · Semi-D
RM309,000
2,562 sqft
RM121 PSF · Semi-D
RM328,000
2,562 sqft
RM128 PSF
RM309,000
2,562 sqft
RM121 PSF
RM328,000
2,562 sqft
RM128 PSF
RM309,000
2,562 sqft
RM121 PSF
RM309,000
2,562 sqft
RM121 PSF
RM309,000
2,562 sqft
RM121 PSF
RM328,000
2,508 sqft
RM131 PSF
RM515,000
2,260 sqft
RM228 PSF
RM410,000
3,251 sqft
RM126 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM238,000

RM170 psf

Median transaction price

Taman Chempedak Indah
© OpenStreetMap · CARTO

Taman Chempedak Indah, Yan, Kedah

Taman Chempedak Indah in Yan, Kedah recorded 13 subsale transactions between 2021 and 2026, with a median price of RM309K and a median price per square foot (PSF) of RM126.

This area contains both residential and commercial properties. View 1 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 RM309K, with most transactions falling within a stable range of RM290K to RM328K, and a typical market range of RM300K to RM319K.

Most transactions involved 1 - 1 1/2 storey semi-detached, though some variety exists in the market.

For price per square foot, the median is RM126, with most transactions between RM121 and RM131. The usual range is RM122.63 to RM129.63, showing that most units are priced quite close to each other. A typical spread (IQR) of RM7.00 and an average deviation (MAD) of RM5 indicate a highly stable PSF trend across properties.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.