| Road | Price | PSF | Size | Date | Type |
|---|
|
Level 9
|
RM230,000
|
RM243
|
947 sqft
|
|
|
|
Level 4
|
RM260,000
|
RM274
|
947 sqft
|
|
|
Jalan Te 4
|
RM498,000
|
RM280
|
1,776 sqft
|
|
|
|
Jalan Te 1
|
RM560,000
|
RM315
|
1,776 sqft
|
|
|
|
Jalan Te 1
|
RM675,000
|
RM380
|
1,776 sqft
|
|
|
|
Jalan Te 4
|
RM555,000
|
RM312
|
1,776 sqft
|
|
|
|
Jalan Te 1
|
RM670,000
|
RM377
|
1,776 sqft
|
|
Selling in Taman Tiara East (Semenyih)? Homes here sold for a median of RM555,000.
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Taman Tiara East (Semenyih)
Marketplace listings
PSF median price per sq ft · 12m its change over the past 12 months
Most-traded areas in this mukim, by number of recorded subsale transactions. See every area in Semenyih
Market Snapshot
ResidentialRM555,000
RM312 psfMedian transaction price
Malaysia, Selangor, Semenyih, Tiara East, JALAN TE1, TAMAN30, 43500
MapsTaman Tiara East (Semenyih) in Hulu Langat, Selangor recorded 7 subsale transactions in 2024, with a median price of RM555K and a median price per square foot (PSF) of RM312.
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 RM555K, with most transactions falling within a stable range of RM388K to RM675K, and a typical market range of RM388K to RM675K.
Most transactions involved 2 - 2 1/2 storey terraced, though some variety exists in the market.
The median PSF stands at RM312, with core pricing between RM265 and RM360. Market pricing typically extends from RM279.49 to RM345.49, reflecting moderate variation in unit pricing. The spread of RM66.00 (IQR) and deviation of RM48 (MAD) suggest moderate price variations reflecting different property features.
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.