100 Residensi

2-0, 14, Jalan Prima Setapak 7, Taman Setapak, 53000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

9 subsales found

Median
RM850,000
PSF
RM516
Period
transactions middle 50% (P25–P75)
RM850,000
Level 11
1,819 sqft RM467 PSF
RM750,000
Level 16
1,453 sqft RM516 PSF
RM750,000
Level 20
1,453 sqft RM516 PSF
RM994,000
Level 10
1,819 sqft RM546 PSF
RM850,000
Level 13
1,819 sqft RM467 PSF
RM730,000
Level 18
1,453 sqft RM502 PSF
RM931,000
Level 20
1,453 sqft RM641 PSF
RM900,000
Level 16
1,819 sqft RM495 PSF
RM931,000
Level 19
1,453 sqft RM641 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM850,000

RM516 psf

Median transaction price

100 Residensi
© OpenStreetMap · CARTO

2-0, 14, Jalan Prima Setapak 7, Taman Setapak, 53000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

100 Residensi in Kuala Lumpur, Kuala Lumpur recorded 9 subsale transactions between 2021 and 2026, with a median price of RM850K and a median price per square foot (PSF) of RM516.

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 RM850K, with most transactions falling within a stable range of RM769K to RM931K, and a typical market range of RM760K to RM941K.

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

For price per square foot, the median is RM516, with most transactions between RM486 and RM546. The usual range is RM490.63 to RM541.63, showing that most units are priced quite close to each other. With an IQR of RM51.00 and MAD of RM30, 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.