Taman Cempaka

Ampang, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM 247,000
PSF
RM 447
Price Size
Period
transactions middle 50% (P25–P75)
400 sqft
Serviced Apt
RM 175,000
Level 7
398 sqft · RM 439 PSF
550 sqft
Serviced Apt
RM 270,000
Level 7
555 sqft · RM 486 PSF
RM 230,000
Level 6
561 sqft · RM 410 PSF
600 sqft
Serviced Apt
RM 264,000
Level 6
581 sqft · RM 454 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

RM 247,000

RM 447 psf

Median transaction price

RM 229,000

RM 932 psf

Median transaction price

High

Rental Yield Data

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Taman Cempaka
© OpenStreetMap · CARTO

Taman Cempaka, Ampang, Selangor, Malaysia

Maps

Taman Cempaka in Hulu Langat, Selangor recorded 4 Serviced Apt properties subsale transactions between 2021 and 2026, with a median price of RM 247K and a median price per square foot (PSF) of RM 447.

This area contains both residential and commercial properties. View 81 residential properties or 9 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 247K, with most transactions falling within a stable range of RM 209K to RM 270K, and a typical market range of RM 175K to RM 270K.

Within the Serviced Apt category, condominium/apartment dominated the market, with high diversity across multiple property types.

For price per square foot, the median is RM 447, with most transactions between RM 419 and RM 475. The usual range is RM 371.31 to RM 522.56, showing that most units are priced quite close to each other. With an IQR of RM 151.25 and MAD of RM 28, 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. Significant price variations suggest comparing multiple properties and timing the market carefully. Limited transaction history suggests carefully evaluating comparable sales data.