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Vale de Figueira

City in Santarém, Portugal

Overview

Vale de Figueira is a small, picturesque parish in the Santarém region of Portugal, surrounded by lush countryside and the River Alviela. With its friendly, close-knit community and charming rural character, it's ideal for travelers seeking authenticity and tranquility.

Geographic Context

Jurisdiction
Portugal
District
Santarém
Population
585
Time Zone
Europe/Lisbon
Coordinates
39.31°, -8.63°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
70
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,189
Local Cost
$822
Local Income
$950
Cashless
50
English
35
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
430 Mbps
Upload
244 Mbps
Latency
9 ms
City Vibrancy
3
Coworking
0
Cafes
3
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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