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Campo

City in Porto, Portugal

Overview

Campo is a small and charming town in the Porto district of northern Portugal, boasting a friendly community and picturesque landscapes. With traditional Portuguese architecture, local markets, and nearby river walks, Campo offers a relaxing escape from city life.

Geographic Context

Jurisdiction
Portugal
District
Porto
Population
4,802
Time Zone
Europe/Lisbon
Coordinates
41.19°, -8.46°

Key Metrics

Safety Score · estimate
84
Female Safety
82
LGBTQ+ Safety
75
Traffic Safety
76
Food Safety
96
Monthly Cost · estimate
$1,524
Local Cost
$931
Local Income
$1,100
Cashless
62
English
60
Temperature
15.2°C
Summer Avg
19.5°C
Winter Avg
10.7°C
Record High
35.2°C
Record Low
0.6°C
Humidity
79%
Precipitation
1008 mm
Internet Speed
494 Mbps
Upload
143 Mbps
Latency
6 ms
City Vibrancy
9
Coworking
0
Cafes
6
Nightlife
1
Parks
2
Transport
19
Walk Score
19
Footways
37.0
Airport
OPO
Distance
19 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 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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