Middle Swan
City in Western Australia, Australia
Overview
Middle Swan is a semi-rural suburb set in Western Australia's famous Swan Valley, renowned for its scenic landscapes, wineries, and relaxed pace of life. With a close-knit population, it offers easy access to Perth yet feels worlds away thanks to its vineyards, walking trails, and heritage sites.
Geographic Context
Jurisdiction
Australia
State
Western Australia
Population
2,852
Time Zone
Australia/Sydney
Coordinates
-31.85°, 116.02°
Key Metrics
Safety Score · estimate
68
Female Safety
70
LGBTQ+ Safety
70
Traffic Safety
60
Food Safety
90
Monthly Cost · estimate
$2,527
Local Cost
$1,590
Local Income
$2,850
Cashless
80
English
100
Temperature
17.7°C
Summer Avg
24.5°C
Winter Avg
11.5°C
Record High
44.8°C
Record Low
0.5°C
Humidity
63%
Precipitation
610 mm
Internet Speed
107 Mbps
Upload
18 Mbps
Latency
11 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
PER
Distance
11 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-22.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.