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Pangsaria

Taman Desa Petaling, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

8 subsales grouped by size

Median
RM 237,500
PSF
RM 279
Group by
Size List
6M 1Y 2Y 3Y
All Years 2026
1
2025
2
2024
9
2023
5
2022
8
2021
2
Price Size
850 sqft
Condo
RM 240,000
Level 8
850 sqft · RM 282 PSF
RM 230,000
Level 3
850 sqft · RM 270 PSF
RM 223,000
Level 1
850 sqft · RM 262 PSF
RM 240,000
Level 6
850 sqft · RM 282 PSF
RM 235,000
Level 2
850 sqft · RM 276 PSF
RM 270,000
Level 6
850 sqft · RM 318 PSF
RM 210,000
Level 9
850 sqft · RM 247 PSF
RM 280,000
Level 2
850 sqft · RM 329 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 237,500

RM 279 psf

Median transaction price

High

Rental Yield Data

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Pangsaria, Taman Desa Petaling, 57100 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Pangsaria in Kuala Lumpur, Kuala Lumpur recorded 8 subsale transactions in 2022, with a median price of RM 238K and a median price per square foot (PSF) of RM 279.

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 238K, with most transactions falling within a stable range of RM 216K to RM 259K, and a typical market range of RM 219K to RM 256K.

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

For price per square foot, the median is RM 279, with most transactions between RM 254 and RM 305. The usual range is RM 256.05 to RM 302.55, showing that most units are priced quite close to each other. A typical spread (IQR) of RM 46.50 and an average deviation (MAD) of RM 26 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.