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Campo Grande
City in Mato Grosso do Sul, Brazil
Overview
Campo Grande is the capital of Mato Grosso do Sul, serving as a key gateway to Brazil's southern Pantanal region. The city combines a laid-back atmosphere with growing urban amenities and cultural attractions, appealing to both tourists and locals.
Geographic Context
Jurisdiction
Brazil
State
Mato Grosso do Sul
Population
8,285
Time Zone
America/Sao_Paulo
Coordinates
-20.44°, -54.65°
Key Metrics
Safety Score · estimate
55
Female Safety
50
LGBTQ+ Safety
40
Traffic Safety
60
Food Safety
65
Monthly Cost · estimate
$930
Local Cost
$507
Local Income
$430
Cashless
30
English
18
Temperature
23.3°C
Summer Avg
25.2°C
Winter Avg
20.1°C
Record High
42.5°C
Record Low
0.4°C
Humidity
71%
Precipitation
1280 mm
Internet Speed
215 Mbps
Upload
104 Mbps
Latency
13 ms
City Vibrancy
14
Coworking
0
Cafes
0
Nightlife
0
Parks
14
Transport
40
Walk Score
40
Footways
80.0
Airport
—
Distance
—
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 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-06.
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 2026-03-22.
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: 46/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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