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Pego

City in Santarém, Portugal

Overview

Pego is a small, traditional village in the Santarém region of Portugal, celebrated for its welcoming community, historic architecture, and scenic riverside landscapes. It offers peaceful rural living while retaining authentic Portuguese flavors and hospitality.

Geographic Context

Jurisdiction
Portugal
District
Santarém
Population
2,431
Time Zone
Europe/Lisbon
Coordinates
39.46°, -8.15°

Key Metrics

Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
92
Food Safety
96
Monthly Cost · estimate
$1,325
Local Cost
$778
Local Income
$1,050
Cashless
56
English
50
Temperature
15.7°C
Summer Avg
22.9°C
Winter Avg
8.5°C
Record High
42.7°C
Record Low
-5.0°C
Humidity
71%
Precipitation
687 mm
Internet Speed
335 Mbps
Upload
243 Mbps
Latency
5 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
7
Walk Score
7
Footways
13.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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