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Stehag

City in Skåne, Sweden

Overview

Stehag is a charming, tranquil village set in Skåne, southern Sweden, known for its picturesque landscapes and close-knit community. This small locality is popular with families and commuters due to its convenient rail connection to Lund and Malmö.

Geographic Context

Jurisdiction
Sweden
County
Skåne
Population
1,454
Time Zone
Europe/Stockholm
Coordinates
55.90°, 13.40°

Key Metrics

Safety Score · estimate
95
Female Safety
95
LGBTQ+ Safety
90
Traffic Safety
90
Food Safety
100
Monthly Cost · estimate
$1,832
Local Cost
$1,190
Local Income
$2,300
Cashless
90
English
95
Temperature
8.1°C
Summer Avg
16.5°C
Winter Avg
0.3°C
Record High
29.3°C
Record Low
-18.1°C
Humidity
87%
Precipitation
789 mm
Internet Speed
264 Mbps
Upload
226 Mbps
Latency
3 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
15
Walk Score
15
Footways
29.0
Airport
MMX
Distance
41 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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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