Green Suria Apartment

Apartment, Jln Green Suria, Tun Hussein Onn, 43200 Cheras, Selangor, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 378,000
PSF
RM 340
Price Size
1,000 sqft
Condo
RM 348,000
Level 9
1,024 sqft · RM 340 PSF
1,050 sqft
Condo
RM 355,000
Level 9
1,027 sqft · RM 346 PSF
1,200 sqft
Condo
RM 410,000
Level 4
1,179 sqft · RM 348 PSF
RM 410,000
Level 2
1,206 sqft · RM 340 PSF
RM 355,000
Level 4
1,206 sqft · RM 294 PSF
RM 378,000
Level 5
1,179 sqft · RM 321 PSF
RM 380,000
Level 8
1,206 sqft · RM 315 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 378,000

RM 340 psf

Median transaction price

Average

Rental Yield Data

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Green Suria Apartment
© OpenStreetMap · CARTO

Apartment, Jln Green Suria, Tun Hussein Onn, 43200 Cheras, Selangor, Malaysia

Maps

Green Suria Apartment in Hulu Langat, Selangor recorded 7 subsale transactions in 2021, with a median price of RM 378K and a median price per square foot (PSF) of RM 340.

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 378K, with most transactions falling within a stable range of RM 354K to RM 402K, and a typical market range of RM 359K to RM 397K.

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

For price per square foot, the median is RM 340, with most transactions between RM 322 and RM 358. The usual range is RM 316.77 to RM 363.02, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 46.25 and an average deviation (MAD) of RM 18 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.