Santibáñez de Béjar

City in Salamanca, Spain

Overview

Santibáñez de Béjar is a tranquil village set in the province of Salamanca, Spain, known for its rustic charm, welcoming community, and scenic landscapes. The town offers a slower pace of life, with historic streets and proximity to the Sierra de Béjar mountains.

Geographic Context

Jurisdiction
Spain
Province
Salamanca
Population
444
Time Zone
Europe/Madrid
Coordinates
40.49°, -5.61°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$1,218
Local Cost
$830
Local Income
$1,100
Cashless
25
English
20
Temperature
11.6°C
Summer Avg
21.1°C
Winter Avg
3.5°C
Record High
38.0°C
Record Low
-9.7°C
Humidity
66%
Precipitation
408 mm
Internet Speed
7 Mbps
Upload
4 Mbps
Latency
31 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 tests. Record updated 2025-12-06.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.