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São Luiz do Paraitinga

City in São Paulo, Brazil

Overview

São Luiz do Paraitinga is a picturesque colonial town set in the hills of São Paulo state, famous for its lively traditional festivals, colorful architecture, and laid-back countryside charm. The town is a gateway to breathtaking nature and cultural traditions, perfect for those seeking authenticity and tranquility.

Geographic Context

Jurisdiction
Brazil
State
São Paulo
Population
10,487
Time Zone
America/Sao_Paulo
Coordinates
-23.26°, -45.23°

Key Metrics

Safety Score
65
Female Safety
60
LGBTQ+ Safety
45
Traffic Safety
75
Food Safety
75
Monthly Cost
$727
Local Cost
$525
Local Income
$400
Cashless
30
English
25
Temperature
22.2°C
Summer Avg
24.4°C
Winter Avg
20.0°C
Record High
35.7°C
Record Low
11.5°C
Humidity
82%
Precipitation
1566 mm
City Vibrancy
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
Airport
UBT
Distance
25 km

Neighborhoods

Partial

Coverage is incomplete — additional neighborhoods are being added as more source data is processed.

Coverage is incomplete — more neighborhoods are being added.

View all 3 neighborhoods

Frequently Asked Questions

Data sources

Source-backed data

NASA POWER - Climate normals and monthly weather measurements rendered as city weather metrics. Updated 2026-03-22.
World Air Quality Index - Latest available city-level air quality station measurement. Updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Updated 2025-12-07.
OpenStreetMap transport extract - Walkability, footway density, and airport access metrics derived from mapped transport features. Updated 2025-12-06.
Oyster List city price model - City price estimates calibrated from local price surveys and jurisdiction-level cost signals. Updated 2026-01-14.
Overture Maps and OpenStreetMap - 3 source-backed neighborhood entities are available for this city. Updated 2026-03-25.

Estimated data

Oyster List AI-assisted estimates - Safety, lifestyle, income, and practical scores are model-assisted estimates derived from source-backed country and city signals. Confidence 60/100.

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