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São Miguel do Guamá
City in Pará, Brazil
Overview
São Miguel do Guamá is a small city in Pará, Brazil, known for its friendly community, local markets, and proximity to the Guamá River. The city offers visitors an authentic experience of Amazonian culture and rural Brazilian life.
Geographic Context
Jurisdiction
Brazil
State
Pará
Population
55,970
Time Zone
America/Sao_Paulo
Coordinates
-1.63°, -47.48°
Key Metrics
Safety Score · estimate
35
Female Safety
40
LGBTQ+ Safety
40
Traffic Safety
45
Food Safety
50
Monthly Cost · estimate
$666
Local Cost
$383
Local Income
$340
Cashless
25
English
10
Temperature
26.3°C
Summer Avg
26.4°C
Winter Avg
25.8°C
Record High
39.2°C
Record Low
19.9°C
Humidity
85%
Precipitation
2508 mm
Internet Speed
239 Mbps
Upload
215 Mbps
Latency
12 ms
City Vibrancy
3
Coworking
0
Cafes
0
Nightlife
0
Parks
3
Transport
1
Walk Score
1
Footways
1.0
Airport
—
Distance
—
Explore
Neighborhoods
EstimatedNeighborhood highlights with vibe, safety, and cost profiles.
View featured neighborhoodsData 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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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