Oliva de la Frontera

City in Badajoz, Spain

Overview

Oliva de la Frontera is a charming small town in Badajoz, Spain, known for its friendly community, traditional architecture, and rich local culture. Surrounded by olive groves and countryside, it offers a peaceful rural escape with authentic Spanish hospitality.

Geographic Context

Jurisdiction
Spain
Province
Badajoz
Population
4,936
Time Zone
Europe/Madrid
Coordinates
38.28°, -6.92°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,225
Local Cost
$670
Local Income
$1,100
Cashless
50
English
30
Temperature
16.4°C
Summer Avg
25.7°C
Winter Avg
8.1°C
Record High
45.4°C
Record Low
-5.9°C
Humidity
65%
Precipitation
491 mm
Internet Speed
108 Mbps
Upload
85 Mbps
Latency
18 ms
City Vibrancy
34
Coworking
0
Cafes
8
Nightlife
9
Parks
17
Transport
49
Walk Score
49
Footways
98.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 20 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.