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Corumbá
City in Mato Grosso do Sul, Brazil
Overview
Corumbá is a lively city in Mato Grosso do Sul, serving as a gateway to the Pantanal, the world's largest tropical wetland. Known for its rich wildlife, colonial architecture, and riverfront setting, Corumbá blends cultural heritage with natural beauty.
Geographic Context
Jurisdiction
Brazil
State
Mato Grosso do Sul
Population
96,520
Time Zone
America/Sao_Paulo
Coordinates
-19.01°, -57.65°
Key Metrics
Safety Score · estimate
55
Female Safety
50
LGBTQ+ Safety
45
Traffic Safety
50
Food Safety
60
Monthly Cost · estimate
$974
Local Cost
$513
Local Income
$320
Cashless
35
English
20
Temperature
27.7°C
Summer Avg
29.2°C
Winter Avg
24.7°C
Record High
45.1°C
Record Low
3.9°C
Humidity
59%
Precipitation
921 mm
Internet Speed
159 Mbps
Upload
105 Mbps
Latency
10 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
CMG
Distance
2 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
Estimates and unverified origins
Oyster List climate data - Climate origins are unverified. Available methods include historical APIs and AI estimates; stored rows do not identify the original dataset, reference period, or model for each value. Treat these summaries as estimates until independently verified. Record updated 2026-03-21.
Oyster List city price estimates - Price origins are unverified. Available generation methods include AI estimates; stored records do not identify a survey, observation period, or model for each price. Record updated 2026-01-14.
Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores include model-assisted estimates. Stored records do not identify supporting observations for each score. Model-reported confidence: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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