Taman Sri Jati Low Cost Apartment

Kinrara Low Cost Apartment, Taman Kinrara Seksyen 4, 47190 Puchong, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

10 subsales grouped by size

Median
RM 182,500
PSF
RM 278
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 185,000
Level 2
657 sqft · RM 282 PSF
RM 200,000
Level 1
657 sqft · RM 305 PSF
RM 180,000
Level 4
657 sqft · RM 274 PSF
RM 160,000
Level 16
657 sqft · RM 244 PSF
RM 170,000
Level 12
657 sqft · RM 259 PSF
RM 190,000
Level 13
657 sqft · RM 289 PSF
+4 more
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 182,500

RM 278 psf

Median transaction price

Taman Sri Jati Low Cost Apartment
© OpenStreetMap · CARTO

Kinrara Low Cost Apartment, Taman Kinrara Seksyen 4, 47190 Puchong, Selangor, Malaysia

Maps

Taman Sri Jati Low Cost Apartment in Kuala Lumpur, Kuala Lumpur recorded 10 subsale transactions between 2021 and 2026, with a median price of RM 183K and a median price per square foot (PSF) of RM 278.

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 183K, with most transactions falling within a stable range of RM 166K to RM 199K, and a typical market range of RM 169K to RM 196K.

Most transactions involved low-cost flat, with minimal variety in property types.

For price per square foot, the median is RM 278, with most transactions between RM 253 and RM 303. The usual range is RM 257.32 to RM 298.82, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 41.50 and an average deviation (MAD) of RM 25 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.