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Falzè-Signoressa
City in Veneto, Italy
Overview
Falzè-Signoressa is a tranquil village in the Veneto region, known for its lively local traditions, historic charm, and proximity to scenic countryside. The community offers an authentic slice of Italian small-town life, surrounded by rolling vineyards and friendly locals.
Geographic Context
Jurisdiction
Italy
Region
Veneto
Population
3,417
Time Zone
Europe/Rome
Coordinates
45.75°, 12.11°
Key Metrics
Safety Score · estimate
89
Female Safety
82
LGBTQ+ Safety
74
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,513
Local Cost
$952
Local Income
$1,450
Cashless
58
English
47
Temperature
9.6°C
Summer Avg
19.0°C
Winter Avg
0.2°C
Record High
33.3°C
Record Low
-17.6°C
Humidity
76%
Precipitation
1081 mm
Internet Speed
433 Mbps
Upload
332 Mbps
Latency
13 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
TSF
Distance
13 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: 62/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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