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Cáceres
City in Mato Grosso, Brazil
Overview
Cáceres is a riverside city in Mato Grosso, renowned for its colonial heritage, lively culture, and access to the Paraguay River. It is a gateway to the Pantanal wetlands, drawing ecotourists and history enthusiasts. The city offers comfortable urban amenities alongside abundant nature.
Geographic Context
Jurisdiction
Brazil
State
Mato Grosso
Population
91,767
Time Zone
America/Sao_Paulo
Coordinates
-16.42°, -57.71°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
40
Food Safety
55
Monthly Cost · estimate
$828
Local Cost
$492
Local Income
$350
Cashless
40
English
20
Temperature
27.8°C
Summer Avg
27.8°C
Winter Avg
26.5°C
Record High
45.6°C
Record Low
8.0°C
Humidity
61%
Precipitation
1088 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
CCX
Distance
43 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 2026-03-22.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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