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Valado de Frades

City in Leiria, Portugal

Overview

Valado de Frades is a tranquil village in Leiria district, Portugal, known for its welcoming community, traditional culture, and laid-back atmosphere. Surrounded by rural landscapes, it offers an authentic local experience for travelers seeking simplicity.

Geographic Context

Jurisdiction
Portugal
District
Leiria
Population
—
Time Zone
Europe/Lisbon
Coordinates
39.58°, -9.02°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,227
Local Cost
$760
Local Income
$950
Cashless
50
English
40
Temperature
15.5°C
Summer Avg
21.1°C
Winter Avg
9.7°C
Record High
41.0°C
Record Low
-3.3°C
Humidity
75%
Precipitation
657 mm
Internet Speed
231 Mbps
Upload
119 Mbps
Latency
12 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
45
Walk Score
45
Footways
90.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 28 tests. Record updated 2025-12-05.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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