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Hato Montaña

City in Panamá Oeste, Panama

Overview

Hato Montaña is a growing town located in Panamá Oeste, offering a blend of local culture, convenience, and easy access to both Panama City and the Pacific coast. It's known for its affordable living, friendly communities, and scenic surroundings.

Geographic Context

Jurisdiction
Panama
Province
Panamá Oeste
Population
—
Time Zone
America/Panama
Coordinates
8.92°, -79.74°

Key Metrics

Safety Score · estimate
50
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$880
Local Cost
$540
Local Income
$600
Cashless
25
English
35
Temperature
26.6°C
Summer Avg
26.7°C
Winter Avg
26.1°C
Record High
35.2°C
Record Low
21.9°C
Humidity
83%
Precipitation
1912 mm
Internet Speed
287 Mbps
Upload
12 Mbps
Latency
11 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
3
Walk Score
3
Footways
6.0
Airport
BLB
Distance
15 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 119 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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 2026-03-21.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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