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Syntul

City in Ryazan, Russia

Overview

Syntul is a tranquil rural village located in the Ryazan region of Russia, offering visitors a glimpse into traditional Russian countryside life. With a small population and idyllic river views, it's an ideal spot for a relaxing break away from urban bustle.

Geographic Context

Jurisdiction
Russia
Administrative Region
Ryazan
Population
1,515
Time Zone
Europe/Moscow
Coordinates
55.00°, 41.30°

Key Metrics

Safety Score · estimate
67
Female Safety
50
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
55
Monthly Cost · estimate
$783
Local Cost
$372
Local Income
$200
Cashless
30
English
10
Temperature
4.6°C
Summer Avg
18.5°C
Winter Avg
-9.9°C
Record High
39.9°C
Record Low
-39.7°C
Humidity
85%
Precipitation
674 mm
Internet Speed
61 Mbps
Upload
71 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
4
Walk Score
4
Footways
8.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 45/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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