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Simancas
City in Valladolid, Spain
Overview
Simancas is a charming small town in Valladolid, Spain, known for its historic castle and peaceful riverside setting. With its blend of medieval heritage and laid-back village life, Simancas invites visitors seeking authenticity and tranquility. The town is ideal for history lovers, nature enthusiasts, and those wishing to experience Castilian hospitality.
Geographic Context
Jurisdiction
Spain
Province
Valladolid
Population
5,538
Time Zone
Europe/Madrid
Coordinates
41.59°, -4.83°
Key Metrics
Safety Score · estimate
92
Female Safety
87
LGBTQ+ Safety
78
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,510
Local Cost
$932
Local Income
$1,350
Cashless
65
English
22
Temperature
12.4°C
Summer Avg
21.4°C
Winter Avg
4.3°C
Record High
39.2°C
Record Low
-8.2°C
Humidity
68%
Precipitation
422 mm
Internet Speed
168 Mbps
Upload
191 Mbps
Latency
11 ms
City Vibrancy
12
Coworking
0
Cafes
0
Nightlife
5
Parks
7
Transport
48
Walk Score
48
Footways
95.0
Airport
VLL
Distance
13 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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: 71/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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