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Lajeado
City in Rio Grande do Sul, Brazil
Overview
Lajeado is a lively mid-size city in southern Brazil, located on the banks of the Taquari River and surrounded by lush countryside. Known for its strong German heritage, friendly atmosphere, and thriving local businesses, the city balances urban convenience with scenic streets.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
96,879
Time Zone
America/Sao_Paulo
Coordinates
-29.47°, -51.96°
Key Metrics
Safety Score
70
Female Safety
65
LGBTQ+ Safety
50
Traffic Safety
60
Food Safety
80
Monthly Cost
$945
Local Cost
$478
Local Income
$470
Cashless
60
English
25
Temperature
19.0°C
Summer Avg
23.8°C
Winter Avg
13.9°C
Record High
40.6°C
Record Low
-2.5°C
Humidity
82%
Precipitation
1577 mm
Internet Speed
245 Mbps
Upload
140 Mbps
Latency
13 ms
City Vibrancy
37
Coworking
0
Cafes
3
Nightlife
9
Parks
25
Transport
0
Walk Score
0
Footways
—
Airport
CSU
Distance
50 km
Explore
Neighborhoods
Mapped34 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 34 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 52 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 - 34 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 70/100.
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