Espeja de San Marcelino

City in Soria, Spain

Overview

Espeja de San Marcelino is a tiny rural municipality in Soria, Spain, renowned for its tranquil atmosphere, historical stone buildings, and beautiful natural landscapes. It's an ideal destination for those seeking authentic Spanish village life and access to nearby natural parks.

Geographic Context

Jurisdiction
Spain
Province
Soria
Population
151
Time Zone
Europe/Madrid
Coordinates
41.80°, -3.22°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,210
Local Cost
$800
Local Income
$1,150
Cashless
30
English
30
Temperature
9.1°C
Summer Avg
17.5°C
Winter Avg
1.5°C
Record High
35.0°C
Record Low
-14.8°C
Humidity
74%
Precipitation
537 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
1
Walk Score
1
Footways
2.0
Airport
—
Distance
—

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Prices & expenses
Weather & Climate
Temperature & conditions
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Neighborhoods
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City Guide
Tips & insights

Data sources

Source-backed data

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 2026-03-23.
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: 40/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.