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Krasnyy Bor

City in Leningrad, Russia

Overview

Krasnyy Bor is a small, quiet settlement in the Leningrad region, best known for its green pine forests, local markets, and proximity to St. Petersburg. The town offers a peaceful rural atmosphere and affordable living standards, making it attractive for travelers seeking a relaxed base near the city. While it lacks grand sights, its local charm and nature walks are inviting.

Geographic Context

Jurisdiction
Russia
Administrative Region
Leningrad
Population
—
Time Zone
Europe/Moscow
Coordinates
59.68°, 30.67°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
50
Food Safety
70
Monthly Cost · estimate
$908
Local Cost
$580
Local Income
$450
Cashless
50
English
25
Temperature
4.2°C
Summer Avg
16.2°C
Winter Avg
-7.8°C
Record High
32.4°C
Record Low
-44.5°C
Humidity
89%
Precipitation
813 mm
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
4
Walk Score
4
Footways
7.0
Airport
LED
Distance
26 km

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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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