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Hontanares de Eresma

City in Segovia, Spain

Overview

Hontanares de Eresma is a charming small town set in the province of Segovia, Spain, known for its tranquil rural ambiance and friendly community. Its historical sites and proximity to Segovia city make it an ideal base for exploring Castile and León's heartland.

Geographic Context

Jurisdiction
Spain
Province
Segovia
Population
1,662
Time Zone
Europe/Madrid
Coordinates
40.98°, -4.20°

Key Metrics

Safety Score · estimate
90
Female Safety
87
LGBTQ+ Safety
75
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$1,303
Local Cost
$880
Local Income
$1,350
Cashless
50
English
18
Temperature
11.6°C
Summer Avg
20.9°C
Winter Avg
3.3°C
Record High
37.8°C
Record Low
-12.4°C
Humidity
67%
Precipitation
482 mm
Internet Speed
528 Mbps
Upload
571 Mbps
Latency
13 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
1
Parks
2
Transport
62
Walk Score
62
Footways
124.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 2 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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