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Olivares de Duero

City in Valladolid, Spain

Overview

Olivares de Duero is a picturesque village set in the heart of Spain's renowned Ribera del Duero wine region. Known for its warm hospitality, historic church, and stunning vineyard landscape, it offers an authentic glimpse of rural Castilian life.

Geographic Context

Jurisdiction
Spain
Province
Valladolid
Population
327
Time Zone
Europe/Madrid
Coordinates
41.64°, -4.37°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,407
Local Cost
$880
Local Income
$1,100
Cashless
45
English
35
Temperature
12.1°C
Summer Avg
21.2°C
Winter Avg
4.0°C
Record High
38.6°C
Record Low
-9.7°C
Humidity
67%
Precipitation
485 mm
Internet Speed
34 Mbps
Upload
34 Mbps
Latency
9 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
2
Parks
1
Transport
11
Walk Score
11
Footways
21.0
Airport
VLL
Distance
41 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 5 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 2026-03-23.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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