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Novo Horizonte do Norte
City in Mato Grosso, Brazil
Overview
Novo Horizonte do Norte is a small, welcoming town in northern Mato Grosso, Brazil, known for its close community and tranquil rural surroundings. Visitors can experience authentic small-town Brazilian culture, local markets, and simple but hearty regional cuisine.
Geographic Context
Jurisdiction
Brazil
State
Mato Grosso
Population
3,267
Time Zone
America/Sao_Paulo
Coordinates
-11.38°, -57.28°
Key Metrics
Safety Score · estimate
50
Female Safety
40
LGBTQ+ Safety
35
Traffic Safety
45
Food Safety
45
Monthly Cost · estimate
$525
Local Cost
$311
Local Income
$300
Cashless
20
English
10
Temperature
25.3°C
Summer Avg
24.7°C
Winter Avg
25.0°C
Record High
40.8°C
Record Low
11.2°C
Humidity
81%
Precipitation
1726 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
JUA
Distance
30 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 2025-12-07.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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