Balenyà

City in Barcelona, Spain

Overview

Balenyà is a charming small town in the Barcelona province, set amid green hills and scenic Catalan landscapes. It offers local Catalan culture, traditional markets, and direct rail connections to Barcelona, making it a tranquil base for exploring the region.

Geographic Context

Jurisdiction
Spain
Province
Barcelona
Population
4,036
Time Zone
Europe/Madrid
Coordinates
41.46°, 2.18°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
78
Traffic Safety
88
Food Safety
95
Monthly Cost · estimate
$1,725
Local Cost
$1,030
Local Income
$1,700
Cashless
60
English
30
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
City Vibrancy
117
Coworking
1
Cafes
11
Nightlife
36
Parks
69
Transport
100
Walk Score
100
Footways
1475.0
Airport
BCN
Distance
20 km

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Cost of Living
Prices & expenses
Weather & Climate
Temperature & conditions
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Neighborhoods
Local areas & vibes
City Guide
Tips & insights

Data sources

Source-backed data

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: 67/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.