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Zelenodolsk
City in Tatarstan, Russia
Overview
Zelenodolsk is a mid-sized city in Tatarstan, Russia, known for its scenic riverside setting and industrial heritage. The city combines Soviet-era charm with modern developments, making it a balanced destination for work and leisure. Visitors enjoy easy access to the Volga river and a variety of local parks and cafés.
Geographic Context
Jurisdiction
Russia
Republic
Tatarstan
Population
98,888
Time Zone
Europe/Moscow
Coordinates
55.84°, 48.52°
Key Metrics
Safety Score · estimate
70
Female Safety
60
LGBTQ+ Safety
20
Traffic Safety
65
Food Safety
80
Monthly Cost · estimate
$1,069
Local Cost
$491
Local Income
$360
Cashless
40
English
20
Temperature
3.2°C
Summer Avg
18.1°C
Winter Avg
-12.6°C
Record High
37.6°C
Record Low
-40.7°C
Humidity
86%
Precipitation
639 mm
Internet Speed
75 Mbps
Upload
80 Mbps
Latency
6 ms
City Vibrancy
16
Coworking
0
Cafes
8
Nightlife
1
Parks
7
Transport
82
Walk Score
82
Footways
164.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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