Santa Fe del Penedès
City in Barcelona, Spain
Overview
Santa Fe del Penedès is a picturesque village located in the heart of Catalonia's wine country, surrounded by rolling vineyards and a tranquil rural landscape. With its small population, the town offers a peaceful escape, authentic Catalan culture, and easy access to nearby regional highlights.
Geographic Context
Jurisdiction
Spain
Province
Barcelona
Population
360
Time Zone
Europe/Madrid
Coordinates
41.38°, 1.72°
Key Metrics
Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
82
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,513
Local Cost
$1,022
Local Income
$1,850
Cashless
65
English
35
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
216 Mbps
Upload
83 Mbps
Latency
28 ms
City Vibrancy
12
Coworking
0
Cafes
1
Nightlife
2
Parks
9
Transport
3
Walk Score
3
Footways
5.0
Airport
BCN
Distance
32 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.