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Gastão Vidigal

City in São Paulo, Brazil

Overview

Gastão Vidigal is a small rural town in the northwest of São Paulo state, embodying a peaceful agricultural atmosphere and tight-knit community life. It's an authentic spot for experiencing daily life in Brazil's countryside, where traditions remain strong and visitors are greeted with hospitality.

Geographic Context

Jurisdiction
Brazil
State
São Paulo
Population
3,203
Time Zone
America/Sao_Paulo
Coordinates
-20.81°, -50.19°

Key Metrics

Safety Score · estimate
60
Female Safety
55
LGBTQ+ Safety
40
Traffic Safety
65
Food Safety
70
Monthly Cost · estimate
$604
Local Cost
$322
Local Income
$320
Cashless
30
English
10
Temperature
24.2°C
Summer Avg
25.9°C
Winter Avg
21.1°C
Record High
44.2°C
Record Low
4.1°C
Humidity
69%
Precipitation
1191 mm
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
0
Parks
2
Transport
1
Walk Score
1
Footways
1.0
Airport
VOT
Distance
43 km

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: 50/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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