Veganzones
City in Segovia, Spain
Overview
Veganzones is a charming rural village in Segovia, Spain, with a close-knit community and a tranquil pace of life. Surrounded by scenic countryside, it offers visitors an authentic Castilian experience and a glimpse into traditional Spanish village culture. With its historic buildings and peaceful atmosphere, it's ideal for those seeking relaxation and nature.
Geographic Context
Jurisdiction
Spain
Province
Segovia
Population
197
Time Zone
Europe/Madrid
Coordinates
41.19°, -3.99°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
90
Food Safety
95
Monthly Cost · estimate
$1,155
Local Cost
$732
Local Income
$900
Cashless
40
English
20
Temperature
11.1°C
Summer Avg
20.7°C
Winter Avg
2.8°C
Record High
37.4°C
Record Low
-13.3°C
Humidity
68%
Precipitation
524 mm
Internet Speed
324 Mbps
Upload
343 Mbps
Latency
7 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
3
Walk Score
3
Footways
5.0
Airport
—
Distance
—
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-09.
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 2026-03-23.
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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.