Pertiwi Indah Apartment

70, Jalan Pertiwi, Maluri, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

14 subsales grouped by size

Median
RM500,000
PSF
RM390
Price Size
Period
transactions middle 50% (P25–P75)
1,300 sqft
Condo
RM500,000
Level 11
1,281 sqft · RM390 PSF
RM468,000
Level 8
1,281 sqft · RM365 PSF
RM450,000
Level 4
1,281 sqft · RM351 PSF
RM488,000
Level 10
1,281 sqft · RM381 PSF
RM520,000
Level 11
1,281 sqft · RM406 PSF
RM550,000
Level 10
1,281 sqft · RM429 PSF
+8 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM500,000

RM390 psf

Median transaction price

Pertiwi Indah Apartment
© OpenStreetMap · CARTO

70, Jalan Pertiwi, Maluri, 55100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Pertiwi Indah Apartment in Kuala Lumpur, Kuala Lumpur recorded 14 subsale transactions between 2021 and 2026, sized between 1,275 and 1,324 sqft, with a median price of RM500K and a median price per square foot (PSF) of RM390.

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 RM500K, with most transactions falling within a stable range of RM465K to RM535K, and a typical market range of RM450K to RM551K.

Most transactions involved condominium/apartment, with minimal variety in property types.

For price per square foot, the median is RM390, with most transactions between RM363 and RM417. The usual range is RM368.42 to RM411.92, showing that most units are priced quite close to each other. A typical spread (IQR) of RM43.50 and an average deviation (MAD) of RM27 indicate a highly stable PSF trend across properties.

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.