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Terbuny

City in Lipetsk, Russia

Overview

Terbuny is a small Russian town in the Lipetsk region, known for its tranquil rural atmosphere and welcoming community. Life in Terbuny centers around local markets, small cafes, and green spaces, offering an authentic slice of provincial Russia.

Geographic Context

Jurisdiction
Russia
Administrative Region
Lipetsk
Population
7,760
Time Zone
Europe/Moscow
Coordinates
52.15°, 38.28°

Key Metrics

Safety Score · estimate
70
Female Safety
55
LGBTQ+ Safety
30
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$648
Local Cost
$360
Local Income
$280
Cashless
50
English
15
Temperature
6.1°C
Summer Avg
19.7°C
Winter Avg
-8.0°C
Record High
40.7°C
Record Low
-38.9°C
Humidity
81%
Precipitation
629 mm
Internet Speed
41 Mbps
Upload
38 Mbps
Latency
20 ms
City Vibrancy
8
Coworking
0
Cafes
4
Nightlife
3
Parks
1
Transport
39
Walk Score
39
Footways
77.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 5 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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