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

6 subsales grouped by size

Median
RM 160,000
PSF
RM 244
Price Size
Period
transactions middle 50% (P25–P75)
650 sqft
LC Flat
RM 150,000
Level 6
657 sqft · RM 228 PSF
RM 158,000
Level 17
657 sqft · RM 241 PSF
RM 160,000
Level 18
657 sqft · RM 244 PSF
RM 160,000
Level 12
657 sqft · RM 244 PSF
RM 170,000
Level 8
657 sqft · RM 259 PSF
RM 175,000
Level 11
657 sqft · RM 267 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 160,000

RM 244 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 6 subsale transactions in 2022, with a median price of RM 160K and a median price per square foot (PSF) of RM 244.

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 160K, with most transactions falling within a stable range of RM 152K to RM 168K, and a typical market range of RM 150K to RM 174K.

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

For price per square foot, the median is RM 244, with most transactions between RM 231 and RM 256. The usual range is RM 222.93 to RM 264.43, 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 12 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.