Porangatu
City in Goiás, Brazil
Overview
Porangatu is a welcoming city in northern Goiás, known for its tranquil ambiance, lively local culture, and role as a regional economic hub. With its friendly communities and access to natural attractions, it offers an authentic experience of rural Brazil.
Geographic Context
Jurisdiction
Brazil
State
Goiás
Population
45,512
Time Zone
America/Sao_Paulo
Coordinates
-13.44°, -49.15°
Key Metrics
Safety Score · estimate
55
Female Safety
45
LGBTQ+ Safety
32
Traffic Safety
50
Food Safety
65
Monthly Cost · estimate
$845
Local Cost
$451
Local Income
$375
Cashless
35
English
15
Temperature
27.0°C
Summer Avg
26.1°C
Winter Avg
26.9°C
Record High
43.9°C
Record Low
13.6°C
Humidity
63%
Precipitation
1233 mm
Internet Speed
236 Mbps
Upload
158 Mbps
Latency
11 ms
City Vibrancy
22
Coworking
0
Cafes
0
Nightlife
4
Parks
18
Transport
37
Walk Score
37
Footways
73.0
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.