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Campelos

City in Lisbon, Portugal

Overview

Campelos is a picturesque small town in the Lisbon region of Portugal, known for its tranquil rural landscapes and strong sense of community. Visitors enjoy its traditional architecture, weekly markets, and easy access to green spaces and nearby wineries.

Geographic Context

Jurisdiction
Portugal
District
Lisbon
Population
3,667
Time Zone
Europe/Lisbon
Coordinates
39.20°, -9.24°

Key Metrics

Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,266
Local Cost
$840
Local Income
$950
Cashless
60
English
55
Temperature
16.0°C
Summer Avg
19.9°C
Winter Avg
11.8°C
Record High
36.3°C
Record Low
0.0°C
Humidity
80%
Precipitation
574 mm
Internet Speed
305 Mbps
Upload
96 Mbps
Latency
6 ms
City Vibrancy
2
Coworking
0
Cafes
2
Nightlife
0
Parks
0
Transport
13
Walk Score
13
Footways
25.0
Airport
LIS
Distance
47 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 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: 56/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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