Prisma Cheras

Jalan Midah 8a, Taman Midah, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM600K
Size
800 sqft

Property Transactions

4 subsales grouped by size

Median
RM443,500
PSF
RM377
Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
Condo
RM263,000
Level 2
710 sqft · RM370 PSF
1,150 sqft
Condo
RM457,000
Level 3
1,152 sqft · RM397 PSF
1,250 sqft
Condo
RM475,000
Level 10
1,238 sqft · RM384 PSF
RM430,000
Level 9
1,238 sqft · RM347 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM443,500

RM377 psf

Median transaction price

High

Does PRISMA CHERAS rent out well?

Gross yield, median rent and sale psf — worked out from transacted prices and asking rents.

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Prisma Cheras
© OpenStreetMap · CARTO

Jalan Midah 8a, Taman Midah, 56000 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Prisma Cheras in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions in 2021, with a median price of RM444K and a median price per square foot (PSF) of RM377.

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 RM444K, with most transactions falling within a stable range of RM359K to RM475K, and a typical market range of RM401K to RM475K.

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

For price per square foot, the median is RM377, with most transactions between RM359 and RM395. The usual range is RM357.72 to RM396.22, showing that most units are priced quite close to each other. A typical spread (IQR) of RM38.50 and an average deviation (MAD) of RM18 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.