Kampung Melayu Ampang

68000 Ampang, Selangor, Malaysia

Property Transactions

13 subsales grouped by road

Period
transactions middle 50% (P25–P75)
RM 900,000
8,494 sqft
RM 106 PSF · Bungalow
RM 330,000
850 sqft
RM 388 PSF · LC House
RM 423,000
850 sqft
RM 497 PSF
RM 399,000
850 sqft
RM 469 PSF
RM 440,000
2,842 sqft
RM 155 PSF
RM 650,000
2,874 sqft
RM 226 PSF
RM 430,000
840 sqft
RM 512 PSF
RM 420,000
850 sqft
RM 494 PSF
RM 300,000
861 sqft
RM 348 PSF
RM 450,000
2,842 sqft
RM 158 PSF
RM 420,000
3,194 sqft
RM 132 PSF
RM 615,000
5,400 sqft
RM 114 PSF
RM 480,000
1,785 sqft
RM 269 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 430,000

RM 269 psf

Median transaction price

Kampung Melayu Ampang
© OpenStreetMap · CARTO

Kampung Melayu Ampang, 68000 Ampang, Selangor, Malaysia

Maps

Kampung Melayu Ampang in Hulu Langat, Selangor recorded 13 subsale transactions between 2021 and 2026, with a median price of RM 430K and a median price per square foot (PSF) of RM 269.

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 430K, with most transactions falling within a stable range of RM 399K to RM 461K, and a typical market range of RM 400K to RM 460K.

Most transactions involved detached, though some variety exists in the market.

Price per square foot shows a median of RM 269, though individual units vary from RM 132 to RM 406 in the core range. The broader market spans RM 111.91 to RM 425.91, indicating diverse property characteristics. A wider spread (IQR: RM 314.00) and deviation (MAD: RM 137) indicate significant PSF variations, likely due to diverse property types or conditions.

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.