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Distrito de Chame

City in Panamá Oeste, Panama

Overview

Distrito de Chame, located in Panamá Oeste, is a coastal region renowned for its stunning beaches, relaxed towns, and blend of local culture with an emerging expat scene. Known for its laid-back lifestyle, Chame is a gateway to Pacific beach adventures and nature escapes.

Geographic Context

Jurisdiction
Panama
Province
Panamá Oeste
Population
31,373
Time Zone
America/Panama
Coordinates
8.60°, -79.92°

Key Metrics

Safety Score · estimate
70
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
75
Monthly Cost · estimate
$1,150
Local Cost
$620
Local Income
$550
Cashless
35
English
35
Temperature
26.4°C
Summer Avg
26.6°C
Winter Avg
25.9°C
Record High
34.6°C
Record Low
21.1°C
Humidity
84%
Precipitation
2138 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
RIH
Distance
34 km

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Neighborhoods
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Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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