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Ironbark
City in Victoria, Australia
Overview
Ironbark is a quaint rural town in Victoria, Australia, known for its friendly community and scenic countryside. With a blend of local history, art, and nature, it's ideal for visitors seeking a relaxing regional experience.
Geographic Context
Jurisdiction
Australia
State
Victoria
Population
1,173
Time Zone
Australia/Sydney
Coordinates
-36.75°, 144.26°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
78
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$2,030
Local Cost
$1,326
Local Income
$2,900
Cashless
82
English
100
Temperature
13.7°C
Summer Avg
20.3°C
Winter Avg
7.3°C
Record High
44.5°C
Record Low
-2.5°C
Humidity
69%
Precipitation
522 mm
Internet Speed
164 Mbps
Upload
25 Mbps
Latency
15 ms
City Vibrancy
55
Coworking
0
Cafes
21
Nightlife
17
Parks
17
Transport
100
Walk Score
100
Footways
1036.0
Airport
BXG
Distance
6 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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