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Bluefields
City in South Caribbean Coast, Nicaragua
Overview
Bluefields, the capital of Nicaragua's South Caribbean Coast region, is a culturally diverse port city blending Afro-Caribbean, indigenous, and Creole influences. Colorful wooden houses line the waterfront, while lively music and local markets reflect the city's lively personality.
Geographic Context
Jurisdiction
Nicaragua
Autonomous Region
South Caribbean Coast
Population
44,373
Time Zone
America/Managua
Coordinates
12.01°, -83.76°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
35
Food Safety
55
Monthly Cost · estimate
$845
Local Cost
$426
Local Income
$200
Cashless
25
English
30
Temperature
26.4°C
Summer Avg
26.7°C
Winter Avg
25.4°C
Record High
34.4°C
Record Low
19.1°C
Humidity
85%
Precipitation
2744 mm
Internet Speed
57 Mbps
Upload
17 Mbps
Latency
22 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BEF
Distance
3 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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