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Lenin District

City in Sevastopol, Ukraine

Overview

Lenin District is a dynamic urban area in Ukraine known for its blend of Soviet architecture, busy streets, and community parks. Both workday hustle and pockets of local culture offer visitors a window into everyday Ukrainian life.

Geographic Context

Jurisdiction
Ukraine
City
Sevastopol
Population
—
Time Zone
Europe/Kiev
Coordinates
44.60°, 33.53°

Key Metrics

Safety Score · estimate
20
Female Safety
30
LGBTQ+ Safety
20
Traffic Safety
40
Food Safety
60
Monthly Cost · estimate
$914
Local Cost
$430
Local Income
$350
Cashless
40
English
15
Temperature
12.5°C
Summer Avg
22.8°C
Winter Avg
3.3°C
Record High
35.2°C
Record Low
-16.0°C
Humidity
77%
Precipitation
556 mm
Internet Speed
96 Mbps
Upload
88 Mbps
Latency
3 ms
City Vibrancy
146
Coworking
0
Cafes
89
Nightlife
20
Parks
37
Transport
100
Walk Score
100
Footways
303.0
Airport
UKS
Distance
10 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 16 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 35/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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