Bukit Anggerik

Jalan 7/154, Taman Bukit Anggerik, 43200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Property Transactions

4 subsales grouped by size

Price Size
Period
transactions middle 50% (P25–P75)
700 sqft
LC House
RM330,000
Jalan 19/154
689 sqft · RM479 PSF
1,450 sqft
2-Sty Terrace
RM630,000
Jalan 28/154
1,442 sqft · RM437 PSF
1,900 sqft
2-Sty Terrace
RM663,000
Jalan 29/154
1,894 sqft · RM350 PSF
4,400 sqft
Terrace
RM815,000
Jalan 27/154
4,402 sqft · RM185 PSF
Legend Recent Highest Price Highest PSF

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Market Snapshot

Residential

RM646,500

RM393 psf

Median transaction price

Bukit Anggerik
© OpenStreetMap · CARTO

Jalan 7/154, Taman Bukit Anggerik, 43200 Kuala Lumpur, Wilayah Persekutuan Kuala Lumpur, Malaysia

Maps

Bukit Anggerik in Kuala Lumpur, Kuala Lumpur recorded 4 subsale transactions between 2021 and 2026, with a median price of RM647K and a median price per square foot (PSF) of RM393.

This area contains both residential and commercial properties. View 54 residential properties or 3 commercial properties separately for more focused analysis.

Price remained flat, and PSF growth was PSF remained flat. The median price is RM647K, with most transactions falling within a stable range of RM471K to RM815K, and a typical market range of RM532K to RM762K.

Most transactions involved low-cost house, with high diversity across multiple property types.

Price per square foot shows a median of RM393, though individual units vary from RM281 to RM506 in the core range. The broader market spans RM309.38 to RM477.38, indicating diverse property characteristics. A wider spread (IQR: RM168.00) and deviation (MAD: RM113) indicate significant PSF variations, likely due to diverse property types or conditions.

While the area has shown positive growth trends, price variations suggest a more dynamic market. This presents opportunities for investors comfortable with moderate volatility. Some price volatility exists, making thorough market research essential before transacting. Limited transaction history suggests carefully evaluating comparable sales data.