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Campo Grande
City in Guarda, Portugal
Overview
Campo Grande in Guarda, Portugal, blends quiet residential life with a taste of traditional Portuguese culture. Its proximity to historic landmarks and charming town squares makes it a pleasant stop in the inland region of northern Portugal, ideal for travelers seeking authenticity over crowds.
Geographic Context
Jurisdiction
Portugal
District
Guarda
Population
—
Time Zone
Europe/Lisbon
Coordinates
38.76°, -9.15°
Key Metrics
Safety Score · estimate
87
Female Safety
84
LGBTQ+ Safety
89
Traffic Safety
77
Food Safety
96
Monthly Cost · estimate
$1,177
Local Cost
$697
Local Income
$1,050
Cashless
76
English
70
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
149 Mbps
Upload
238 Mbps
Latency
3 ms
City Vibrancy
210
Coworking
2
Cafes
128
Nightlife
25
Parks
55
Transport
100
Walk Score
100
Footways
800.0
Airport
LIS
Distance
3 km
Explore
Data sources
Source-backed data
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 2026-03-21.
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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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