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Colorado

City in Rio Grande do Sul, Brazil

Overview

Colorado is a small, welcoming city in Rio Grande do Sul, Brazil, known for its agricultural heritage and laid-back lifestyle. The community is tight-knit, with local traditions and events shaping the city's rhythm. Visitors will find a charming blend of rural tranquility and small city amenities.

Geographic Context

Jurisdiction
Brazil
State
Rio Grande do Sul
Population
22,896
Time Zone
America/Sao_Paulo
Coordinates
-28.48°, -52.99°

Key Metrics

Safety Score
60
Female Safety
55
LGBTQ+ Safety
45
Traffic Safety
65
Food Safety
75
Monthly Cost
$673
Local Cost
$395
Local Income
$520
Cashless
35
English
15
Temperature
18.6°C
Summer Avg
23.0°C
Winter Avg
13.6°C
Record High
38.5°C
Record Low
-3.5°C
Humidity
81%
Precipitation
1735 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0

Explore

Cost of Living
Prices & expenses
Weather & Climate
Temperature & conditions
Alternatives
Similar cities worldwide
Compare
Side-by-side comparison
Neighborhoods
1 areas mapped
City Guide
Tips & insights

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Vista Alegre

Coverage is incomplete — more neighborhoods are being added.

View all 1 neighborhoods

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.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. 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.
Overture Maps and OpenStreetMap - 1 source-backed neighborhood entities are available for this city. Updated 2026-03-23.

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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