Navarcles

City in Barcelona, Spain

Overview

Navarcles is a small town in the Barcelona region, known for its Catalan charm, historic sites, and tranquil riverside paths. Visitors enjoy a relaxed pace of life, scenic landscapes, and authentic local culture away from busy tourist routes.

Geographic Context

Jurisdiction
Spain
Province
Barcelona
Population
6,160
Time Zone
Europe/Madrid
Coordinates
41.75°, 1.90°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
85
Traffic Safety
90
Food Safety
97
Monthly Cost · estimate
$1,458
Local Cost
$880
Local Income
$1,400
Cashless
60
English
50
Temperature
12.6°C
Summer Avg
21.7°C
Winter Avg
4.3°C
Record High
37.8°C
Record Low
-10.5°C
Humidity
66%
Precipitation
553 mm
Internet Speed
324 Mbps
Upload
314 Mbps
Latency
7 ms
City Vibrancy
9
Coworking
0
Cafes
0
Nightlife
1
Parks
8
Transport
11
Walk Score
11
Footways
22.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 27 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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.