Casla

City in Segovia, Spain

Overview

Casla is a tranquil village set in the Segovia province, surrounded by rolling countryside and the dramatic peaks of the Sierra de Guadarrama. With just 155 residents, it's an ideal escape for those seeking traditional Spanish rural life and natural beauty.

Geographic Context

Jurisdiction
Spain
Province
Segovia
Population
155
Time Zone
Europe/Madrid
Coordinates
41.17°, -3.66°

Key Metrics

Safety Score · estimate
90
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,192
Local Cost
$805
Local Income
$1,200
Cashless
30
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
140 Mbps
Upload
118 Mbps
Latency
14 ms
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
0
Parks
1
Transport
2
Walk Score
2
Footways
4.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 51 tests. Record updated 2025-12-05.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.