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São Félix do Xingu
City in Pará, Brazil
Overview
São Félix do Xingu is a growing town located deep in Pará, Brazil, serving as a gateway to the vast Amazon region. The city blends rural charm with important services and is known for its connection to agriculture and nature.
Geographic Context
Jurisdiction
Brazil
State
Pará
Population
65,418
Time Zone
America/Sao_Paulo
Coordinates
-6.64°, -51.99°
Key Metrics
Safety Score · estimate
35
Female Safety
25
LGBTQ+ Safety
30
Traffic Safety
40
Food Safety
40
Monthly Cost · estimate
$800
Local Cost
$333
Local Income
$350
Cashless
20
English
10
Temperature
26.2°C
Summer Avg
25.3°C
Winter Avg
26.2°C
Record High
41.8°C
Record Low
14.7°C
Humidity
78%
Precipitation
1646 mm
Internet Speed
258 Mbps
Upload
99 Mbps
Latency
8 ms
City Vibrancy
4
Coworking
0
Cafes
1
Nightlife
2
Parks
1
Transport
0
Walk Score
0
Footways
—
Airport
SXX
Distance
5 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 2025-12-06.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Record updated 2025-12-05.
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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