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Campo Limpo de Goiás
City in Goiás, Brazil
Overview
Campo Limpo de Goiás is a small, tranquil city in central Brazil, known for its friendly locals and laid-back pace. Surrounded by open countryside, it's ideal for those seeking an authentic small-town experience away from busy tourist centers.
Geographic Context
Jurisdiction
Brazil
State
Goiás
Population
8,579
Time Zone
America/Sao_Paulo
Coordinates
-16.30°, -49.09°
Key Metrics
Safety Score · estimate
45
Female Safety
40
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
60
Monthly Cost · estimate
$560
Local Cost
$315
Local Income
$320
Cashless
25
English
10
Temperature
23.1°C
Summer Avg
23.4°C
Winter Avg
21.5°C
Record High
41.5°C
Record Low
6.2°C
Humidity
69%
Precipitation
1397 mm
Internet Speed
226 Mbps
Upload
92 Mbps
Latency
4 ms
City Vibrancy
5
Coworking
0
Cafes
0
Nightlife
0
Parks
5
Transport
0
Walk Score
0
Footways
—
Airport
APS
Distance
19 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: 52/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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