Taman Datuk Ahmad Razali

Jalan Memanda Kecil 1, Taman Dato Ahmad, 68000 Ampang, Selangor, Malaysia

Property Transactions

4 subsales grouped by size

Median
RM 440,000
PSF
RM 287
Price Size
Period
transactions middle 50% (P25–P75)
1,200 sqft
Office
RM 450,000
Level MZ
1,195 sqft · RM 377 PSF
RM 368,000
Level 1
1,421 sqft · RM 259 PSF
RM 430,000
Level 2
1,417 sqft · RM 303 PSF
1,650 sqft
Shop
RM 450,000
Level 2
1,668 sqft · RM 270 PSF
Legend Recent Highest Price Highest PSF

Posts about Taman Datuk Ahmad Razali

What’s happening in Taman Datuk Ahmad Razali?

No posts about Taman Datuk Ahmad Razali yet. Be the first to share what’s happening here.

Market Snapshot

Commercial

RM 440,000

RM 287 psf

Median transaction price

Taman Datuk Ahmad Razali
© OpenStreetMap · CARTO

Jalan Memanda Kecil 1, Taman Dato Ahmad, 68000 Ampang, Selangor, Malaysia

Maps

Taman Datuk Ahmad Razali in Hulu Langat, Selangor recorded 4 subsale transactions in 2022, with a median price of RM 440K and a median price per square foot (PSF) of RM 287.

This area consists exclusively of commercial properties, with no residential listings recorded.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM 440K, with most transactions falling within a stable range of RM 406K to RM 450K, and a typical market range of RM 405K to RM 450K.

Most transactions involved office lot, with moderate diversity in property types available.

The median PSF stands at RM 287, with core pricing between RM 241 and RM 333. Market pricing typically extends from RM 244.09 to RM 329.09, reflecting moderate variation in unit pricing. The spread of RM 85.00 (IQR) and deviation of RM 46 (MAD) suggest moderate price variations reflecting different property features.

Overall, the market in this area appears stable with consistent appreciation, making it an attractive option for both investors and homebuyers. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.