Is Musile di Piave safe?

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How fast is internet in Musile di Piave?

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Musile di Piave

City in Veneto, Italy

Overview

Musile di Piave is a small, peaceful town in the Veneto region, located just a short drive from the beaches of the Adriatic and the historic city of Venice. It boasts scenic riverbanks, authentic Italian culture, and a welcoming local community.

Geographic Context

Jurisdiction

Italy

Region

Veneto

Population

11,372

Time Zone

Europe/Rome

Coordinates

45.62°, 12.54°

Key Metrics

Safety Score

Female Safety

LGBTQ+ Safety

Traffic Safety

Food Safety

Monthly Cost

$1,872

Local Cost

$1,050

Local Income

$1,650

Cashless

English

Temperature

15.1°C

Summer Avg

24.5°C

Winter Avg

6.0°C

Record High

35.8°C

Record Low

-5.2°C

Humidity

73%

Precipitation

942 mm

Internet Speed

95 Mbps

Upload

14 Mbps

Latency

16 ms

City Vibrancy

Coworking

Cafes

Nightlife

Parks

Transport

Walk Score

Footways

26.0

Airport

VCE

Distance

20 km

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Cost of Living

Prices & expenses

Weather & Climate

Temperature & conditions

Alternatives

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Neighborhoods

Estimated

Neighborhood highlights with vibe, safety, and cost profiles.

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Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.

World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.

Ookla Open Data - Internet speed aggregates for 2024Q3 from 8 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.

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 76/100.

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