Seri Maya

Jln Jelatek, Kementah, 54200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

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From
RM 600K
Size
800 sqft

Property Transactions

7 subsales grouped by size

Median
RM 500,000
PSF
RM 384
Price Size
Period
transactions middle 50% (P25–P75)
1,150 sqft
Condo
RM 415,000
Level 3
1,163 sqft · RM 357 PSF
1,250 sqft
Condo
RM 500,000
Level 2
1,227 sqft · RM 407 PSF
1,300 sqft
Condo
RM 500,000
Level 8
1,302 sqft · RM 384 PSF
RM 490,000
Level 19
1,302 sqft · RM 376 PSF
1,350 sqft
Condo
RM 545,000
Level 9
1,356 sqft · RM 402 PSF
RM 535,000
Level 28
1,345 sqft · RM 398 PSF
1,950 sqft
Condo
RM 730,000
Level 5
1,938 sqft · RM 377 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM 500,000

RM 384 psf

Median transaction price

Seri Maya
© OpenStreetMap · CARTO

Jln Jelatek, Kementah, 54200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Seri Maya in Gombak, Selangor recorded 7 subsale transactions between 2021 and 2026, with a median price of RM 500K and a median price per square foot (PSF) of RM 384.

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 500K, with most transactions falling within a stable range of RM 415K to RM 590K, and a typical market range of RM 465K to RM 536K.

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

For price per square foot, the median is RM 384, with most transactions between RM 368 and RM 400. The usual range is RM 356.13 to RM 411.88, showing that most units are priced quite close to each other. With an IQR of RM 55.75 and MAD of RM 16, 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. Moderate price stability provides a balanced market for both buyers and sellers. Limited transaction history suggests carefully evaluating comparable sales data.