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Distrito de Natá

City in Coclé, Panama

Overview

Distrito de Natá, located in the Coclé province of Panama, is one of the country's oldest settlements, blending colonial history with rural charm. It's renowned for the Natá de los Caballeros church and a relaxed local lifestyle, making it a pleasant destination for cultural and nature-oriented travel.

Geographic Context

Jurisdiction
Panama
Province
Coclé
Population
18,465
Time Zone
America/Panama
Coordinates
8.34°, -80.61°

Key Metrics

Safety Score · estimate
65
Female Safety
52
LGBTQ+ Safety
38
Traffic Safety
62
Food Safety
58
Monthly Cost · estimate
$880
Local Cost
$470
Local Income
$450
Cashless
22
English
18
Temperature
25.0°C
Summer Avg
25.0°C
Winter Avg
24.3°C
Record High
37.6°C
Record Low
18.3°C
Humidity
86%
Precipitation
1857 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CTD
Distance
45 km

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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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