Sentul Park

Sentul, 51100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

6 subsales grouped by size

Median
RM207,500
PSF
RM266

Property Type

Price Size
Period
transactions middle 50% (P25–P75)
750 sqft
Flat
RM54,000
Level 1
732 sqft · RM74 PSF
RM220,000
Level 5
732 sqft · RM301 PSF
RM282,000
Level 3
733 sqft · RM385 PSF
RM215,000
Level 4
733 sqft · RM293 PSF
850 sqft
Flat
RM160,000
Level 4
840 sqft · RM190 PSF
RM200,000
Level 5
840 sqft · RM238 PSF
Legend Recent Highest Price Highest PSF

Selling in Sentul Park? Homes here sold for a median of RM207,500.

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Market Snapshot

Residential

RM207,500

RM266 psf

Median transaction price

Sentul Park
© OpenStreetMap · CARTO

Sentul Park, Sentul, 51100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Sentul Park in Kuala Lumpur, Kuala Lumpur recorded 6 Flat properties subsale transactions between 2021 and 2026, with a median price of RM208K and a median price per square foot (PSF) of RM266.

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 RM208K, with most transactions falling within a stable range of RM137K to RM278K, and a typical market range of RM188K to RM228K.

Within the Flat category, flats dominated the market, though some variety exists in the market.

Price per square foot shows a median of RM266, though individual units vary from RM168 to RM363 in the core range. The broader market spans RM223.20 to RM308.20, indicating diverse property characteristics. A wider spread (IQR: RM85.00) and deviation (MAD: RM98) 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.