Kampung Datok Keramat

Kampung Datuk Keramat, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Property Transactions

6 subsales grouped by size

Median
RM575,000
PSF
RM167
Price Size
Period
transactions middle 50% (P25–P75)
3,200 sqft
Bungalow
RM550,000
Lorong Keramat 13
3,197 sqft · RM172 PSF
3,250 sqft
Bungalow
RM480,000
Lorong Keramat Dalam 5
3,251 sqft · RM148 PSF
3,300 sqft
Bungalow
RM700,000
Lorong Keramat 22
3,305 sqft · RM212 PSF
3,400 sqft
Bungalow
RM550,000
Lorong Keramat 20
3,412 sqft · RM161 PSF
4,050 sqft
Bungalow
RM600,000
Lorong Keramat Dalam 2
4,026 sqft · RM149 PSF
5,250 sqft
Bungalow
RM950,000
Persiaran Keramat Hujung
5,274 sqft · RM180 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM575,000

RM167 psf

Median transaction price

Kampung Datok Keramat
© OpenStreetMap · CARTO

Kampung Datuk Keramat, Kuala Lumpur, Federal Territory of Kuala Lumpur, Malaysia

Maps

Kampung Datok Keramat in Kuala Lumpur, Kuala Lumpur recorded 6 subsale transactions in 2024, with a median price of RM575K and a median price per square foot (PSF) of RM167.

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 RM575K, with most transactions falling within a stable range of RM480K to RM729K, and a typical market range of RM480K to RM691K.

Most transactions involved detached, with minimal variety in property types.

The median PSF stands at RM167, with core pricing between RM145 and RM189. Market pricing typically extends from RM142.50 to RM190.75, reflecting moderate variation in unit pricing. With an IQR of RM48.25 and MAD of RM22, 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.