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Bugul’ma

City in Tatarstan, Russia

Overview

Bugul'ma is a small industrial city in Tatarstan, Russia, known for its oil heritage, tranquil parks, and welcoming atmosphere. The city offers a blend of Soviet-era architecture and green spaces, making it an appealing stop for regional travelers.

Geographic Context

Jurisdiction
Russia
Republic
Tatarstan
Population
—
Time Zone
Europe/Moscow
Coordinates
54.54°, 52.80°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
25
Traffic Safety
50
Food Safety
70
Monthly Cost · estimate
$814
Local Cost
$430
Local Income
$400
Cashless
60
English
20
Temperature
2.9°C
Summer Avg
18.1°C
Winter Avg
-13.4°C
Record High
39.0°C
Record Low
-41.0°C
Humidity
83%
Precipitation
586 mm
Internet Speed
105 Mbps
Upload
122 Mbps
Latency
16 ms
City Vibrancy
19
Coworking
0
Cafes
8
Nightlife
1
Parks
10
Transport
90
Walk Score
90
Footways
180.0
Airport
UUA
Distance
11 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 tests. Record updated 2025-12-05.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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