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Rossoshanskiy Rayon

City in Voronezh, Russia

Overview

Rossoshanskiy Rayon, set in the southern part of Voronezh Oblast, is characterized by rural charm, a modest town life, and proximity to agricultural landscapes. Visitors will find a restful pace and authentic Russian culture, with easy access to nature and the Don River. While not touristic, it offers a glimpse into everyday life in this region.

Geographic Context

Jurisdiction
Russia
Administrative Region
Voronezh
Population
—
Time Zone
Europe/Moscow
Coordinates
50.17°, 39.58°

Key Metrics

Safety Score · estimate
65
Female Safety
45
LGBTQ+ Safety
15
Traffic Safety
50
Food Safety
68
Monthly Cost · estimate
$746
Local Cost
$342
Local Income
$260
Cashless
40
English
18
Temperature
7.6°C
Summer Avg
21.6°C
Winter Avg
-6.8°C
Record High
41.1°C
Record Low
-36.8°C
Humidity
77%
Precipitation
574 mm
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

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: 48/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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