Ran. Per. Sentul Fasa 3

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

18 subsales grouped by size · LC Flat →

Median
RM180,000
PSF
RM298
Period
transactions middle 50% (P25–P75)
RM180,000
Level 1
560 sqft · RM322 PSF
RM148,000
Level 13
560 sqft · RM264 PSF
RM190,000
Level 3
560 sqft · RM339 PSF
RM160,000
Level 3
560 sqft · RM286 PSF
RM170,000
Level 3
570 sqft · RM298 PSF
RM145,000
Level 15
570 sqft · RM254 PSF
+9 more
RM230,000
Level 6
753 sqft · RM305 PSF
RM220,000
Level 3
753 sqft · RM292 PSF
RM218,000
Level 14
753 sqft · RM289 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM180,000

RM295 psf

Median transaction price

Ran. Per. Sentul Fasa 3
© OpenStreetMap · CARTO

Lorong Penghulu, Gombak Setia, 53100 Kuala Lumpur, Selangor, Malaysia

Maps

Ran. Per. Sentul Fasa 3 in Kuala Lumpur, Kuala Lumpur recorded 18 subsale transactions between 2021 and 2026, with a median price of RM180K and a median price per square foot (PSF) of RM298.

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 RM180K, with most transactions falling within a stable range of RM160K to RM200K, and a typical market range of RM161K to RM199K.

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

For price per square foot, the median is RM298, with most transactions between RM271 and RM325. The usual range is RM272.49 to RM323.49, showing that most units are priced quite close to each other. With an IQR of RM51.00 and MAD of RM27, the PSF demonstrates reasonable consistency across the market.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. The consistent property type and stable pricing make it easier to assess value and compare trends. Limited transaction history suggests carefully evaluating comparable sales data.