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Monto
City in Queensland, Australia
Overview
Monto is a welcoming rural town in Queensland, featuring heritage architecture, friendly locals, and easy access to nature. Small in size but big on country charm, it's well-known for its proximity to the spectacular Cania Gorge National Park.
Geographic Context
Jurisdiction
Australia
State
Queensland
Population
1,156
Time Zone
Australia/Brisbane
Coordinates
-24.86°, 151.12°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
95
Monthly Cost · estimate
$1,833
Local Cost
$1,160
Local Income
$1,800
Cashless
65
English
98
Temperature
20.5°C
Summer Avg
25.2°C
Winter Avg
14.9°C
Record High
42.6°C
Record Low
-0.9°C
Humidity
67%
Precipitation
723 mm
Internet Speed
118 Mbps
Upload
21 Mbps
Latency
30 ms
City Vibrancy
12
Coworking
0
Cafes
3
Nightlife
2
Parks
7
Transport
50
Walk Score
50
Footways
100.0
Airport
MNQ
Distance
4 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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