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Dankov

City in Lipetsk, Russia

Overview

Dankov is a small riverside town in Lipetsk Oblast, Russia, offering a glimpse of authentic provincial life. Its compact size makes it easy to explore historic churches, green parks, and quiet neighborhoods. The Don River adds charm and opportunities for peaceful walks and picnics.

Geographic Context

Jurisdiction
Russia
Administrative Region
Lipetsk
Population
19,726
Time Zone
Europe/Moscow
Coordinates
53.25°, 39.16°

Key Metrics

Safety Score · estimate
68
Female Safety
55
LGBTQ+ Safety
20
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$752
Local Cost
$388
Local Income
$310
Cashless
50
English
25
Temperature
5.2°C
Summer Avg
18.9°C
Winter Avg
-9.0°C
Record High
39.9°C
Record Low
-40.1°C
Humidity
83%
Precipitation
633 mm
Internet Speed
37 Mbps
Upload
43 Mbps
Latency
4 ms
City Vibrancy
14
Coworking
0
Cafes
7
Nightlife
2
Parks
5
Transport
23
Walk Score
23
Footways
46.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 20 tests. Record updated 2025-12-05.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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