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Ravda
City in Burgas, Bulgaria
Overview
Ravda is a small seaside village on Bulgaria's southern coast, beloved for its tranquil beaches, affordable dining, and laid-back atmosphere. It offers a relaxed alternative to neighboring resorts, with a mix of traditional charm and modern amenities.
Geographic Context
Jurisdiction
Bulgaria
District
Burgas
Population
3,515
Time Zone
Europe/Sofia
Coordinates
42.64°, 27.68°
Key Metrics
Safety Score · estimate
72
Female Safety
65
LGBTQ+ Safety
55
Traffic Safety
78
Food Safety
85
Monthly Cost · estimate
$945
Local Cost
$572
Local Income
$550
Cashless
56
English
45
Temperature
13.6°C
Summer Avg
23.9°C
Winter Avg
3.8°C
Record High
41.7°C
Record Low
-20.1°C
Humidity
75%
Precipitation
585 mm
Internet Speed
51 Mbps
Upload
31 Mbps
Latency
11 ms
City Vibrancy
15
Coworking
0
Cafes
10
Nightlife
4
Parks
1
Transport
12
Walk Score
12
Footways
24.0
Airport
BOJ
Distance
15 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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