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Tot’ma
City in Vologda, Russia
Overview
Tot'ma is a small yet historically rich town in the Vologda region of Russia, famed for its iconic 'Tot'ma Baroque' churches and scenic riverside setting. With a tranquil ambiance and a welcoming community, it offers a glimpse into traditional Russian provincial life for culture seekers and relaxed travelers.
Geographic Context
Jurisdiction
Russia
Administrative Region
Vologda
Population
—
Time Zone
Europe/Moscow
Coordinates
59.97°, 42.76°
Key Metrics
Safety Score · estimate
72
Female Safety
65
LGBTQ+ Safety
30
Traffic Safety
78
Food Safety
55
Monthly Cost · estimate
$728
Local Cost
$420
Local Income
$250
Cashless
55
English
20
Temperature
1.9°C
Summer Avg
15.6°C
Winter Avg
-12.0°C
Record High
34.3°C
Record Low
-44.8°C
Humidity
90%
Precipitation
858 mm
Internet Speed
40 Mbps
Upload
38 Mbps
Latency
19 ms
City Vibrancy
26
Coworking
0
Cafes
9
Nightlife
1
Parks
16
Transport
77
Walk Score
77
Footways
153.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-10.
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 2026-03-21.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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