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Piracanjuba
City in Goiás, Brazil
Overview
Piracanjuba is a charming small city in Goiás, Brazil, known for its friendly community, colonial history, and proximity to nature. Its relaxed pace of life makes it an ideal spot for travelers looking to experience authentic Brazilian interior culture.
Geographic Context
Jurisdiction
Brazil
State
Goiás
Population
24,883
Time Zone
America/Sao_Paulo
Coordinates
-17.30°, -49.02°
Key Metrics
Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
35
Traffic Safety
65
Food Safety
65
Monthly Cost · estimate
$738
Local Cost
$413
Local Income
$350
Cashless
30
English
25
Temperature
23.5°C
Summer Avg
24.0°C
Winter Avg
21.7°C
Record High
42.0°C
Record Low
5.0°C
Humidity
68%
Precipitation
1211 mm
Internet Speed
241 Mbps
Upload
175 Mbps
Latency
6 ms
City Vibrancy
17
Coworking
0
Cafes
0
Nightlife
0
Parks
17
Transport
5
Walk Score
5
Footways
10.0
Airport
—
Distance
—
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 2025-12-06.
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: 57/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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