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Echunga
City in South Australia, Australia
Overview
Echunga is a small, historic town set in the Adelaide Hills of South Australia. Known for its rural charm, friendly locals, and proximity to nature, it's an ideal base for exploring the region's vineyards and scenic landscapes.
Geographic Context
Jurisdiction
Australia
State
South Australia
Population
1,219
Time Zone
Australia/Adelaide
Coordinates
-35.10°, 138.80°
Key Metrics
Safety Score · estimate
90
Female Safety
86
LGBTQ+ Safety
80
Traffic Safety
92
Food Safety
97
Monthly Cost · estimate
$1,960
Local Cost
$1,380
Local Income
$2,950
Cashless
80
English
100
Temperature
16.0°C
Summer Avg
21.6°C
Winter Avg
10.2°C
Record High
45.1°C
Record Low
-0.3°C
Humidity
65%
Precipitation
431 mm
Internet Speed
215 Mbps
Upload
18 Mbps
Latency
50 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
1
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
ADL
Distance
30 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 2025-12-08.
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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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