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Santa Maria e São Miguel
City in Guarda, Portugal
Overview
Santa Maria e São Miguel is a charming parish in the city of Guarda, Portugal, celebrated for its historic districts, traditional architecture, and scenic surroundings. Visitors can explore medieval streets, lively local culture, and panoramic views of the Serra da Estrela mountains.
Geographic Context
Jurisdiction
Portugal
District
Guarda
Population
—
Time Zone
Europe/Lisbon
Coordinates
38.80°, -9.38°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
78
Food Safety
98
Monthly Cost · estimate
$1,266
Local Cost
$722
Local Income
$900
Cashless
65
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
321 Mbps
Upload
129 Mbps
Latency
6 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
258.0
Airport
CAT
Distance
9 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 2026-03-22.
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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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