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Peno
City in Tver, Russia
Overview
Peno is a peaceful town on the banks of Lake Peno in Tver Oblast, offering a glimpse into rural Russian life with scenic natural surroundings. It is ideal for relaxed getaways, fishing, and immersion into local traditions. The community is small but welcoming, making it an escape from bigger city bustle.
Geographic Context
Jurisdiction
Russia
Administrative Region
Tver
Population
3,359
Time Zone
Europe/Moscow
Coordinates
56.93°, 32.74°
Key Metrics
Safety Score · estimate
65
Female Safety
50
LGBTQ+ Safety
15
Traffic Safety
60
Food Safety
70
Monthly Cost · estimate
$705
Local Cost
$430
Local Income
$270
Cashless
30
English
10
Temperature
4.3°C
Summer Avg
16.4°C
Winter Avg
-8.0°C
Record High
34.0°C
Record Low
-40.1°C
Humidity
89%
Precipitation
896 mm
Internet Speed
53 Mbps
Upload
48 Mbps
Latency
18 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
11.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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