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Granucillo

City in Zamora, Spain

Overview

Granucillo is a peaceful rural village in the Zamora province with a tight-knit community and traditional Spanish charm. Surrounded by rolling fields and ancient stone homes, it's an ideal spot for those looking to experience authentic Castilian countryside.

Geographic Context

Jurisdiction
Spain
Province
Zamora
Population
104
Time Zone
Europe/Madrid
Coordinates
42.05°, -5.93°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
95
Food Safety
95
Monthly Cost · estimate
$955
Local Cost
$620
Local Income
$1,100
Cashless
35
English
20
Temperature
11.9°C
Summer Avg
20.6°C
Winter Avg
4.0°C
Record High
38.5°C
Record Low
-8.7°C
Humidity
71%
Precipitation
464 mm
Internet Speed
331 Mbps
Upload
274 Mbps
Latency
8 ms
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
8
Walk Score
8
Footways
15.0
Airport
Distance

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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