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Devnya
City in Varna, Bulgaria
Overview
Devnya is a small town in the Varna region of Bulgaria, known for its rich history and proximity to natural attractions like the Devnya River. With a population of 6,480, it offers visitors an authentic glimpse into Bulgarian provincial life and access to ancient ruins.
Geographic Context
Jurisdiction
Bulgaria
District
Varna
Population
6,480
Time Zone
Europe/Sofia
Coordinates
43.22°, 27.57°
Key Metrics
Safety Score · estimate
65
Female Safety
60
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
80
Monthly Cost · estimate
$799
Local Cost
$500
Local Income
$550
Cashless
40
English
35
Temperature
12.5°C
Summer Avg
23.4°C
Winter Avg
2.0°C
Record High
42.3°C
Record Low
-24.2°C
Humidity
75%
Precipitation
551 mm
Internet Speed
159 Mbps
Upload
33 Mbps
Latency
24 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
5
Walk Score
5
Footways
9.0
Airport
VAR
Distance
21 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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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