Macquarie Fields
City in New South Wales, Australia
Overview
Macquarie Fields is a diverse suburban area in Sydney's southwest, known for its parks, multicultural atmosphere, and convenient train links to central Sydney. It offers both residential calm and pockets of local activity with community amenities and a blend of old and new housing. The city is a practical base for exploring greater Sydney while enjoying a quieter lifestyle.
Geographic Context
Jurisdiction
Australia
State
New South Wales
Population
14,023
Time Zone
Australia/Sydney
Coordinates
-33.99°, 150.89°
Key Metrics
Safety Score
58
Female Safety
62
LGBTQ+ Safety
75
Traffic Safety
73
Food Safety
95
Monthly Cost
$2,430
Local Cost
$1,690
Local Income
$2,400
Cashless
95
English
100
Temperature
16.0°C
Summer Avg
22.2°C
Winter Avg
9.5°C
Record High
45.1°C
Record Low
-2.4°C
Humidity
72%
Precipitation
1011 mm
Internet Speed
229 Mbps
Upload
29 Mbps
Latency
11 ms
City Vibrancy
49
Coworking
0
Cafes
0
Nightlife
0
Parks
49
Transport
100
Walk Score
100
Footways
419.0
Airport
BWU
Distance
12 km
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 36 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 68/100.