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Alfoz de Quintanadueñas
City in Burgos, Spain
Overview
Alfoz de Quintanadueñas is a tranquil municipality just outside Burgos, Spain, offering peaceful living, rich local traditions, and beautiful countryside. The town is composed of several small villages, each with its own charm, and is perfect for visitors looking to experience authentic Castilian culture away from urban bustle.
Geographic Context
Jurisdiction
Spain
Province
Burgos
Population
2,139
Time Zone
Europe/Madrid
Coordinates
42.38°, -3.74°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
78
Traffic Safety
88
Food Safety
97
Monthly Cost · estimate
$1,618
Local Cost
$1,020
Local Income
$1,250
Cashless
60
English
35
Temperature
10.2°C
Summer Avg
17.9°C
Winter Avg
3.0°C
Record High
36.7°C
Record Low
-11.1°C
Humidity
77%
Precipitation
631 mm
Internet Speed
0 Mbps
Upload
2 Mbps
Latency
49 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
1
Parks
2
Transport
30
Walk Score
30
Footways
59.0
Airport
RGS
Distance
10 km
Explore
Data sources
Source-backed data
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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