Baw Baw
City in Victoria, Australia
Overview
Baw Baw is a tranquil and close-knit rural community set in the rolling hills of Victoria, Australia. Known for its proximity to the Mount Baw Baw ski fields and its charming farmlands, it's a place for nature lovers seeking a peaceful escape.
Geographic Context
Jurisdiction
Australia
State
Victoria
Population
271
Time Zone
Australia/Sydney
Coordinates
-37.97°, 146.14°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,655
Local Cost
$1,060
Local Income
$2,200
Cashless
70
English
100
Temperature
13.4°C
Summer Avg
18.9°C
Winter Avg
8.0°C
Record High
42.4°C
Record Low
-2.1°C
Humidity
73%
Precipitation
904 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
TGN
Distance
39 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 2026-03-23.
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.