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Lucas do Rio Verde
City in Mato Grosso, Brazil
Overview
Lucas do Rio Verde is a lively agribusiness hub in Mato Grosso, Brazil, known for its modern infrastructure and welcoming community. The city offers a clean, organized environment with a blend of rural charm and urban convenience.
Geographic Context
Jurisdiction
Brazil
State
Mato Grosso
Population
95,792
Time Zone
America/Sao_Paulo
Coordinates
-13.04°, -56.16°
Key Metrics
Safety Score · estimate
56
Female Safety
52
LGBTQ+ Safety
35
Traffic Safety
55
Food Safety
70
Monthly Cost · estimate
$950
Local Cost
$540
Local Income
$400
Cashless
52
English
22
Temperature
25.5°C
Summer Avg
25.1°C
Winter Avg
24.7°C
Record High
42.7°C
Record Low
9.1°C
Humidity
74%
Precipitation
1561 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
LVR
Distance
22 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: 76/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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