Taman Keramat

54200 Kuala Lumpur, Selangor, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM 740,000
PSF
RM 147
Price Size
Period
transactions middle 50% (P25–P75)
4,350 sqft
Bungalow
RM 890,000
Jalan Enggang
4,373 sqft · RM 204 PSF
4,400 sqft
Bungalow
RM 650,000
Lorong Enggang 15
4,390 sqft · RM 148 PSF
RM 570,000
Lorong Enggang 19
4,413 sqft · RM 129 PSF
4,450 sqft
Bungalow
RM 650,000
Jalan Enggang 15
4,457 sqft · RM 146 PSF
4,900 sqft
Bungalow
RM 830,000
Lorong Enggang 11
4,905 sqft · RM 169 PSF
6,550 sqft
Bungalow
RM 850,000
Lorong Enggang 15
6,555 sqft · RM 130 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 740,000

RM 147 psf

Median transaction price

Taman Keramat
© OpenStreetMap · CARTO

Taman Keramat, 54200 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Keramat in Gombak, Selangor recorded 6 Bungalow properties subsale transactions between 2021 and 2026, with a median price of RM 740K and a median price per square foot (PSF) of RM 147.

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 740K, with most transactions falling within a stable range of RM 619K to RM 861K, and a typical market range of RM 570K to RM 890K.

Within the Bungalow category, 1 - 1 1/2 storey terraced dominated the market, with moderate diversity in property types available.

The median PSF stands at RM 147, with core pricing between RM 121 and RM 173. Market pricing typically extends from RM 87.96 to RM 205.96, reflecting moderate variation in unit pricing. The spread of RM 118.00 (IQR) and deviation of RM 26 (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.