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Bocaiúva do Sul

City in Paraná, Brazil

Overview

Bocaiúva do Sul is a small, peaceful town in Paraná, Brazil, surrounded by lush forests and rural landscapes. It offers a slower pace, with warm local hospitality and traditional Brazilian small-town charm.

Geographic Context

Jurisdiction
Brazil
State
Paraná
Population
13,405
Time Zone
America/Sao_Paulo
Coordinates
-25.10°, -48.87°

Key Metrics

Safety Score
55
Female Safety
45
LGBTQ+ Safety
35
Traffic Safety
60
Food Safety
65
Monthly Cost
$564
Local Cost
$302
Local Income
$350
Cashless
25
English
10
Temperature
18.9°C
Summer Avg
22.1°C
Winter Avg
15.4°C
Record High
37.5°C
Record Low
-1.9°C
Humidity
84%
Precipitation
1481 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BFH
Distance
50 km

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Cost of Living
Prices & expenses
Weather & Climate
Temperature & conditions
Alternatives
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Neighborhoods
1 areas mapped
City Guide
Tips & insights

Neighborhoods

Partial

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

Coverage is incomplete — more neighborhoods are being added.

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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 2025-12-06.
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 - 1 source-backed neighborhood entities are available for this city. Updated 2026-04-05.

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 70/100.

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