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Montignano-Marzocca
City in Marche, Italy
Overview
Montignano-Marzocca is a coastal village in the Marche region, renowned for its charming historical center, peaceful beaches, and proximity to Senigallia. With a friendly, local atmosphere, it's favored for relaxing getaways and authentic Italian living.
Geographic Context
Jurisdiction
Italy
Region
Marche
Population
4,590
Time Zone
Europe/Rome
Coordinates
43.67°, 13.29°
Key Metrics
Safety Score · estimate
80
Female Safety
75
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
90
Monthly Cost · estimate
$1,617
Local Cost
$1,022
Local Income
$1,400
Cashless
45
English
30
Temperature
14.6°C
Summer Avg
24.0°C
Winter Avg
6.2°C
Record High
40.3°C
Record Low
-6.3°C
Humidity
74%
Precipitation
753 mm
Internet Speed
244 Mbps
Upload
130 Mbps
Latency
10 ms
City Vibrancy
18
Coworking
0
Cafes
8
Nightlife
3
Parks
7
Transport
44
Walk Score
44
Footways
87.0
Airport
AOI
Distance
9 km
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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