Villafranca de los Barros
City in Badajoz, Spain
Overview
Villafranca de los Barros is a charming small city located in Extremadura, Spain, known for its wine production, local festivals, and friendly atmosphere. Its historic center offers picturesque streets, traditional Spanish squares, and a glimpse of authentic rural life.
Geographic Context
Jurisdiction
Spain
Province
Badajoz
Population
12,362
Time Zone
Europe/Madrid
Coordinates
38.56°, -6.34°
Key Metrics
Safety Score
80
Female Safety
73
LGBTQ+ Safety
68
Traffic Safety
78
Food Safety
90
Monthly Cost
$1,282
Local Cost
$790
Local Income
$1,300
Cashless
55
English
45
Temperature
16.0°C
Summer Avg
25.9°C
Winter Avg
7.3°C
Record High
45.0°C
Record Low
-5.9°C
Humidity
64%
Precipitation
454 mm
Internet Speed
80 Mbps
Upload
150 Mbps
Latency
16 ms
City Vibrancy
65
Coworking
0
Cafes
5
Nightlife
22
Parks
38
Transport
11
Walk Score
11
Footways
21.0
Airport
—
Distance
—
Explore
Neighborhoods
PartialCoverage is incomplete — additional neighborhoods are being added as more source data is processed.
Coverage is incomplete — more neighborhoods are being added.
View all 3 neighborhoodsFrequently Asked Questions
Data sources
Source-backed data
NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 4 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 3 source-backed neighborhood entities are available for this city. Updated 2026-03-25.
Estimated data
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 62/100.