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Lages
City in Santa Catarina, Brazil
Overview
Lages, located in the scenic mountains of Santa Catarina, is known for its strong gaucho traditions, extensive green parks, and historical architecture. The city offers a blend of modern amenities and rural charm, with a relaxed atmosphere and a rich calendar of local festivals.
Geographic Context
Jurisdiction
Brazil
State
Santa Catarina
Population
164,676
Time Zone
America/Sao_Paulo
Coordinates
-27.82°, -50.33°
Key Metrics
Safety Score
65
Female Safety
60
LGBTQ+ Safety
55
Traffic Safety
65
Food Safety
70
Monthly Cost
$798
Local Cost
$447
Local Income
$420
Cashless
55
English
20
Temperature
16.0°C
Summer Avg
19.9°C
Winter Avg
11.6°C
Record High
31.5°C
Record Low
-4.9°C
Humidity
85%
Precipitation
1689 mm
Internet Speed
261 Mbps
Upload
185 Mbps
Latency
12 ms
City Vibrancy
37
Coworking
0
Cafes
4
Nightlife
2
Parks
31
Transport
0
Walk Score
0
Footways
—
Airport
LAJ
Distance
6 km
Explore
Neighborhoods
Mapped68 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 68 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 202 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 - 68 source-backed neighborhood entities are available for this city. Updated 2026-03-21.
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 62/100.
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