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Cervantes
City in Río Negro, Argentina
Overview
Cervantes is a small, peaceful city in Argentina's Río Negro province, surrounded by orchards and scenic views typical of Patagonia's Upper Valley. Renowned for its agricultural heritage and tranquil pace, it offers a genuine local experience for visitors.
Geographic Context
Jurisdiction
Argentina
Province
Río Negro
Population
7,400
Time Zone
America/Argentina/Buenos_Aires
Coordinates
-39.05°, -67.39°
Key Metrics
Safety Score · estimate
65
Female Safety
54
LGBTQ+ Safety
42
Traffic Safety
70
Food Safety
55
Monthly Cost · estimate
$905
Local Cost
$512
Local Income
$250
Cashless
28
English
18
Temperature
14.9°C
Summer Avg
23.6°C
Winter Avg
6.4°C
Record High
42.6°C
Record Low
-6.7°C
Humidity
50%
Precipitation
246 mm
Internet Speed
41 Mbps
Upload
66 Mbps
Latency
9 ms
City Vibrancy
10
Coworking
0
Cafes
0
Nightlife
2
Parks
8
Transport
7
Walk Score
7
Footways
13.0
Airport
GNR
Distance
20 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 2025-12-07.
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: 61/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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