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Porech’ye-Rybnoye
City in Yaroslavl, Russia
Overview
Porech'ye-Rybnoye is a small settlement in Yaroslavl region, Russia, situated on the banks of the scenic Volga River. It offers an authentic glimpse into rural Russian life, with charming streets, tranquil natural spaces, and a peaceful atmosphere. The town is popular among outdoor enthusiasts and those seeking a slower pace.
Geographic Context
Jurisdiction
Russia
Administrative Region
Yaroslavl
Population
—
Time Zone
Europe/Moscow
Coordinates
57.10°, 39.38°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$769
Local Cost
$418
Local Income
$250
Cashless
40
English
20
Temperature
3.6°C
Summer Avg
17.0°C
Winter Avg
-10.2°C
Record High
34.1°C
Record Low
-42.8°C
Humidity
88%
Precipitation
736 mm
Internet Speed
62 Mbps
Upload
12 Mbps
Latency
27 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
7
Walk Score
7
Footways
13.0
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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