Taman Keramat

54200 Kuala Lumpur, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

9 subsales grouped by size · LC Flat →

Median
RM 180,000
PSF
RM 367
400 sqft
LC Flat
RM 150,000
Level 3
409 sqft · RM 367 PSF
RM 130,000
Level 4
409 sqft · RM 318 PSF
RM 150,000
Level 2
409 sqft · RM 367 PSF
RM 145,000
Level G
409 sqft · RM 354 PSF
550 sqft
LC Flat
RM 180,000
Level 4
549 sqft · RM 328 PSF
RM 220,000
Level 1
549 sqft · RM 401 PSF
RM 220,000
Level 1
549 sqft · RM 401 PSF
RM 180,000
Level 2
549 sqft · RM 328 PSF
1,550 sqft
Terrace
RM 570,000
Lorong AU3/16A
1,572 sqft · RM 363 PSF
Legend Recent Highest Price Highest PSF

Market Snapshot

Residential

RM 180,000

RM 363 psf

Median transaction price

Taman Keramat
© OpenStreetMap · CARTO

Taman Keramat, 54200 Kuala Lumpur, Selangor, Malaysia

Maps

Taman Keramat in Gombak, Selangor recorded 9 subsale transactions between 2021 and 2026, with a median price of RM 180K and a median price per square foot (PSF) of RM 367.

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 180K, with most transactions falling within a stable range of RM 145K to RM 215K, and a typical market range of RM 145K to RM 215K.

Most transactions involved low-cost flat, though some variety exists in the market.

For price per square foot, the median is RM 367, with most transactions between RM 332 and RM 402. The usual range is RM 347.22 to RM 386.22, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 39.00 and an average deviation (MAD) of RM 35 indicate a highly stable PSF trend across properties.

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.