Taman Ampang Jaya

taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
1,400 sqft
2-Sty Terrace
RM660,000
Jalan 5
1,421 sqft · RM465 PSF
RM670,000
Jalan 5
1,421 sqft · RM472 PSF
RM915,000
Jalan 5
1,421 sqft · RM644 PSF
1,500 sqft
2-Sty Terrace
RM650,000
Jalan 14
1,496 sqft · RM434 PSF
RM550,000
Jalan 16
1,496 sqft · RM368 PSF
1,550 sqft
2-Sty Terrace
RM550,000
Jalan 8
1,539 sqft · RM357 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM655,000

RM449 psf

Median transaction price

Taman Ampang Jaya
© OpenStreetMap · CARTO

taman, Jalan Bunga Melati 16, Taman Seraya, 56100 Ampang Jaya, Selangor, Malaysia

Maps

Taman Ampang Jaya in Hulu Langat, Selangor recorded 6 Double Storey Terraced properties subsale transactions between 2021 and 2026, with a median price of RM655K and a median price per square foot (PSF) of RM449.

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 RM655K, with most transactions falling within a stable range of RM550K to RM777K, and a typical market range of RM609K to RM701K.

Within the Double Storey Terraced category, 2 - 2 1/2 storey terraced dominated the market, with minimal variety in property types.

Price per square foot shows a median of RM449, though individual units vary from RM355 to RM544 in the core range. The broader market spans RM407.36 to RM491.61, indicating diverse property characteristics. The spread of RM84.25 (IQR) and deviation of RM95 (MAD) suggest moderate price variations reflecting different property features.

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.