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Ambo

City in Huanuco, Peru

Overview

Ambo is a small city set in the Huánuco region of central Peru, offering stunning mountain scenery and a laid-back, authentic Andean atmosphere. Its markets, colonial-era church, and riverside setting make it a charming stop for travelers seeking local culture.

Geographic Context

Jurisdiction
Peru
Region
Huanuco
Population
6,865
Time Zone
America/Lima
Coordinates
-10.13°, -76.20°

Key Metrics

Safety Score · estimate
54
Female Safety
48
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
60
Monthly Cost · estimate
$483
Local Cost
$293
Local Income
$220
Cashless
20
English
15
Temperature
9.7°C
Summer Avg
10.2°C
Winter Avg
8.7°C
Record High
21.4°C
Record Low
-2.7°C
Humidity
81%
Precipitation
652 mm
Internet Speed
95 Mbps
Upload
84 Mbps
Latency
10 ms
City Vibrancy
6
Coworking
0
Cafes
3
Nightlife
0
Parks
3
Transport
1
Walk Score
1
Footways
1.0
Airport
HUU
Distance
28 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 58 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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