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Canto del Llano

City in Veraguas, Panama

Overview

Canto del Llano is a small city in Veraguas, Panama, known for its tranquil lifestyle, friendly people, and authentic Panamanian charm. Its location offers easy access to both urban amenities and nearby nature spots.

Geographic Context

Jurisdiction
Panama
Province
Veraguas
Population
—
Time Zone
America/Panama
Coordinates
8.12°, -80.96°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
55
Food Safety
65
Monthly Cost · estimate
$761
Local Cost
$480
Local Income
$350
Cashless
20
English
25
Temperature
26.5°C
Summer Avg
26.3°C
Winter Avg
25.9°C
Record High
39.1°C
Record Low
18.4°C
Humidity
82%
Precipitation
1936 mm
Internet Speed
234 Mbps
Upload
11 Mbps
Latency
14 ms
City Vibrancy
49
Coworking
0
Cafes
2
Nightlife
8
Parks
39
Transport
27
Walk Score
27
Footways
53.0
Airport
SYP
Distance
5 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 47 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 2026-03-22.
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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