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Nova Hartz
City in Rio Grande do Sul, Brazil
Overview
Nova Hartz is a small, thriving city in Rio Grande do Sul, best known for its tight-knit community feel and a blend of urban and rural lifestyles. Its walkable center, inviting parks, and proximity to regional nature make it a relaxed destination for visitors seeking authentic local culture.
Geographic Context
Jurisdiction
Brazil
State
Rio Grande do Sul
Population
20,558
Time Zone
America/Sao_Paulo
Coordinates
-29.60°, -50.91°
Key Metrics
Safety Score
72
Female Safety
68
LGBTQ+ Safety
62
Traffic Safety
60
Food Safety
66
Monthly Cost
$815
Local Cost
$472
Local Income
$400
Cashless
52
English
32
Temperature
17.3°C
Summer Avg
21.5°C
Winter Avg
13.0°C
Record High
35.3°C
Record Low
-2.9°C
Humidity
83%
Precipitation
1568 mm
Internet Speed
124 Mbps
Upload
97 Mbps
Latency
5 ms
City Vibrancy
8
Coworking
0
Cafes
0
Nightlife
0
Parks
8
Transport
0
Walk Score
0
Footways
—
Airport
QCN
Distance
26 km
Explore
Neighborhoods
Mapped8 neighborhoods sourced from Overture Maps and OpenStreetMap.
View all 8 neighborhoodsFrequently 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.
Ookla Open Data - Internet speed aggregates for 2024Q3 from 20 tests. 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 2025-12-05.
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 - 8 source-backed neighborhood entities are available for this city. Updated 2026-03-23.
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 63/100.
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