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Flores da Cunha
City in Rio Grande do Sul, Brazil
Overview
Flores da Cunha is a charming city in Rio Grande do Sul's Serra Gaúcha region, renowned for its Italian heritage, lively wine culture, and welcoming small-town atmosphere. Visitors come for peaceful streets, storied vineyards, and authentic culinary experiences.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
32,015
Time Zone
America/Sao_Paulo
Coordinates
-29.03°, -51.18°
Key Metrics
Safety Score
70
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
75
Food Safety
75
Monthly Cost
$732
Local Cost
$458
Local Income
$500
Cashless
50
English
25
Temperature
17.2°C
Summer Avg
21.5°C
Winter Avg
12.6°C
Record High
35.7°C
Record Low
-4.9°C
Humidity
82%
Precipitation
1666 mm
Internet Speed
169 Mbps
Upload
113 Mbps
Latency
4 ms
City Vibrancy
10
Coworking
0
Cafes
0
Nightlife
2
Parks
8
Transport
0
Walk Score
0
Footways
—
Airport
CXJ
Distance
19 km
Explore
Neighborhoods
Mapped20 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 20 neighborhoodsFrequently 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 76 tests. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-05.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 20 source-backed neighborhood entities are available for this city. Updated 2026-03-22.
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 60/100.
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