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Esporões

City in Braga, Portugal

Overview

Esporões, located in the Braga region of northern Portugal, is a charming village blending rural tranquility with proximity to Braga city. Known for its green hills, traditional stone houses, and friendly residents, it offers an authentic countryside Portuguese experience.

Geographic Context

Jurisdiction
Portugal
District
Braga
Population
1,713
Time Zone
Europe/Lisbon
Coordinates
41.51°, -8.42°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
67
Traffic Safety
82
Food Safety
95
Monthly Cost · estimate
$1,568
Local Cost
$902
Local Income
$950
Cashless
55
English
38
Temperature
13.0°C
Summer Avg
20.2°C
Winter Avg
6.3°C
Record High
40.9°C
Record Low
-4.8°C
Humidity
76%
Precipitation
1033 mm
Internet Speed
274 Mbps
Upload
175 Mbps
Latency
8 ms
City Vibrancy
8
Coworking
0
Cafes
8
Nightlife
0
Parks
0
Transport
3
Walk Score
3
Footways
5.0
Airport
OPO
Distance
36 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 12 tests. Record updated 2025-12-05.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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