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Campo

City in Huesca, Spain

Overview

Campo is a picturesque mountain town in Huesca province, set in the Pyrenees and renowned for its tranquil atmosphere and stunning natural surroundings. With ancient architecture and lively local traditions, it offers an authentic taste of rural Aragonese life.

Geographic Context

Jurisdiction
Spain
Province
Huesca
Population
483
Time Zone
Europe/Madrid
Coordinates
42.41°, 0.40°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,392
Local Cost
$892
Local Income
$1,200
Cashless
35
English
25
Temperature
7.0°C
Summer Avg
15.5°C
Winter Avg
-0.8°C
Record High
30.7°C
Record Low
-19.4°C
Humidity
75%
Precipitation
680 mm
Internet Speed
220 Mbps
Upload
305 Mbps
Latency
25 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 15 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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