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Navas

City in Barcelona, Spain

Overview

Navas is a charming small town set in the Barcelona region, known for its rich history, friendly community, and picturesque setting close to the foothills. The town offers a relaxing pace of life and convenient access to natural parks and regional culture.

Geographic Context

Jurisdiction
Spain
Province
Barcelona
Population
6,185
Time Zone
Europe/Madrid
Coordinates
41.42°, 2.19°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
85
Traffic Safety
80
Food Safety
98
Monthly Cost · estimate
$1,548
Local Cost
$1,078
Local Income
$1,650
Cashless
70
English
55
Temperature
15.5°C
Summer Avg
23.8°C
Winter Avg
7.9°C
Record High
38.2°C
Record Low
-4.4°C
Humidity
70%
Precipitation
519 mm
Internet Speed
310 Mbps
Upload
256 Mbps
Latency
5 ms
City Vibrancy
611
Coworking
3
Cafes
262
Nightlife
214
Parks
132
Transport
100
Walk Score
100
Footways
4403.0
Airport
BCN
Distance
16 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 98 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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