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Corella

City in Navarra, Spain

Overview

Corella, located in southern Navarra, is a charming small city known for its rich Baroque heritage and picturesque streets. With less than 9,000 residents, it offers an authentic local atmosphere, regional cuisine, and easy access to vineyards and nature.

Geographic Context

Jurisdiction
Spain
Province
Navarra
Population
8,712
Time Zone
Europe/Madrid
Coordinates
42.12°, -1.79°

Key Metrics

Safety Score · estimate
82
Female Safety
78
LGBTQ+ Safety
68
Traffic Safety
80
Food Safety
97
Monthly Cost · estimate
$1,438
Local Cost
$930
Local Income
$1,400
Cashless
65
English
35
Temperature
12.0°C
Summer Avg
20.4°C
Winter Avg
4.3°C
Record High
40.4°C
Record Low
-10.5°C
Humidity
70%
Precipitation
457 mm
Internet Speed
213 Mbps
Upload
84 Mbps
Latency
16 ms
City Vibrancy
11
Coworking
0
Cafes
0
Nightlife
1
Parks
10
Transport
96
Walk Score
96
Footways
191.0
Airport
—
Distance
—

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 2025-12-07.
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: 66/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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