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Rondonópolis
City in Mato Grosso, Brazil
Overview
Rondonópolis is a thriving city in Mato Grosso known for its dynamic agribusiness sector and emerging urban culture. While industry shapes the economy, the city offers leafy parks, regional cuisine, and an authentic Brazilian small-city vibe.
Geographic Context
Jurisdiction
Brazil
State
Mato Grosso
Population
259,167
Time Zone
America/Sao_Paulo
Coordinates
-16.47°, -54.64°
Key Metrics
Safety Score · estimate
52
Female Safety
50
LGBTQ+ Safety
38
Traffic Safety
45
Food Safety
65
Monthly Cost · estimate
$921
Local Cost
$495
Local Income
$420
Cashless
48
English
25
Temperature
26.2°C
Summer Avg
26.4°C
Winter Avg
24.6°C
Record High
45.3°C
Record Low
8.0°C
Humidity
68%
Precipitation
1403 mm
Internet Speed
174 Mbps
Upload
104 Mbps
Latency
11 ms
City Vibrancy
17
Coworking
0
Cafes
0
Nightlife
1
Parks
16
Transport
0
Walk Score
0
Footways
—
Airport
ROO
Distance
16 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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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