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Ançã
City in Coimbra, Portugal
Overview
Ançã is a charming, traditional Portuguese village in the Coimbra region, famed for its historical architecture, natural springs, and tranquil rural lifestyle. The village's cobbled streets, heritage buildings, and surrounding wetlands offer visitors an authentic taste of small-town life in central Portugal.
Geographic Context
Jurisdiction
Portugal
District
Coimbra
Population
2,451
Time Zone
Europe/Lisbon
Coordinates
40.27°, -8.52°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
80
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,171
Local Cost
$800
Local Income
$950
Cashless
35
English
35
Temperature
15.4°C
Summer Avg
20.3°C
Winter Avg
10.5°C
Record High
38.4°C
Record Low
-1.2°C
Humidity
78%
Precipitation
930 mm
Internet Speed
366 Mbps
Upload
215 Mbps
Latency
6 ms
City Vibrancy
4
Coworking
0
Cafes
3
Nightlife
1
Parks
0
Transport
15
Walk Score
15
Footways
30.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
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 2026-03-22.
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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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