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Viver

City in Castellón, Spain

Overview

Viver is a picturesque small town set in the mountainous interior of Castellón, Spain. Known for its fresh springs, historic old town, and scenic landscapes, it offers a tranquil retreat into rural Spanish life. Viver is ideal for those seeking authenticity, history, and nature.

Geographic Context

Jurisdiction
Spain
Province
Castellón
Population
1,680
Time Zone
Europe/Madrid
Coordinates
39.92°, -0.60°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,275
Local Cost
$800
Local Income
$1,250
Cashless
60
English
25
Temperature
13.8°C
Summer Avg
22.8°C
Winter Avg
5.8°C
Record High
40.5°C
Record Low
-8.8°C
Humidity
63%
Precipitation
408 mm
Internet Speed
895 Mbps
Upload
719 Mbps
Latency
7 ms
City Vibrancy
7
Coworking
0
Cafes
0
Nightlife
4
Parks
3
Transport
5
Walk Score
5
Footways
9.0
Airport
VLC
Distance
49 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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