Serracapriola
City in Apulia, Italy
Overview
Serracapriola is a charming small town in Apulia, Italy, set amongst rolling hills and historic churches. With a population of just over 3,600, it offers authentic southern Italian hospitality, medieval architecture, and scenic landscapes.
Geographic Context
Jurisdiction
Italy
Region
Apulia
Population
3,656
Time Zone
Europe/Rome
Coordinates
41.81°, 15.16°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
55
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,520
Local Cost
$858
Local Income
$1,100
Cashless
40
English
30
Temperature
17.2°C
Summer Avg
25.6°C
Winter Avg
9.9°C
Record High
39.4°C
Record Low
-0.7°C
Humidity
70%
Precipitation
571 mm
Internet Speed
67 Mbps
Upload
10 Mbps
Latency
41 ms
City Vibrancy
6
Coworking
0
Cafes
1
Nightlife
5
Parks
0
Transport
25
Walk Score
25
Footways
49.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.