Taman Seri Keramat (AU2A)

177, Jalan AU 2a, Kampung Datuk Keramat, 54200 Kuala Lumpur, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 689,000
PSF
RM 400
Price Size
Period
transactions middle 50% (P25–P75)
1,550 sqft
2-Sty Terrace
RM 628,000
Jalan AU 2A
1,539 sqft · RM 408 PSF
RM 615,000
Jalan AU 2A
1,539 sqft · RM 400 PSF
1,850 sqft
2-Sty Terrace
RM 750,000
Jalan AU2A/14
1,873 sqft · RM 400 PSF
1,900 sqft
2-Sty Terrace
RM 750,000
Jalan AU 2A/3
1,894 sqft · RM 396 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 689,000

RM 400 psf

Median transaction price

Taman Seri Keramat (AU2A)
© OpenStreetMap · CARTO

177, Jalan AU 2a, Kampung Datuk Keramat, 54200 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Seri Keramat (AU2A) in Gombak, Selangor recorded 4 subsale transactions between 2021 and 2026, with a median price of RM 689K and a median price per square foot (PSF) of RM 400.

This area contains both residential and commercial properties. View 18 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 RM 689K, with most transactions falling within a stable range of RM 625K to RM 750K, and a typical market range of RM 615K to RM 750K.

Most transactions involved 2 - 2 1/2 storey terraced, with high diversity across multiple property types.

For price per square foot, the median is RM 400, with most transactions between RM 395 and RM 404. The usual range is RM 343.40 to RM 456.15, showing that most units are priced quite close to each other. With an IQR of RM 112.75 and MAD of RM 4, 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. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.