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Capreol
City in Ontario, Canada
Overview
Capreol is a small, welcoming town in Northern Ontario, originally founded as a railway community. It retains its rustic charm with a laid-back atmosphere, local businesses, and easy access to nature and the Vermilion River.
Geographic Context
Jurisdiction
Canada
Province
Ontario
Population
—
Time Zone
America/Toronto
Coordinates
46.71°, -80.92°
Key Metrics
Safety Score · estimate
80
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,779
Local Cost
$1,262
Local Income
$0
Cashless
75
English
100
Temperature
4.1°C
Summer Avg
17.8°C
Winter Avg
-10.8°C
Record High
34.7°C
Record Low
-45.0°C
Humidity
84%
Precipitation
847 mm
Internet Speed
351 Mbps
Upload
286 Mbps
Latency
9 ms
City Vibrancy
7
Coworking
0
Cafes
1
Nightlife
0
Parks
6
Transport
0
Walk Score
0
Footways
—
Airport
YSB
Distance
13 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 2025-12-09.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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