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Segeltorp
City in Stockholm, Sweden
Overview
Segeltorp is a peaceful suburban area in Stockholm County, Sweden, known for its family-friendly vibe, ample green spaces, and convenient location near shopping centers and the metro. The district is ideal for visitors seeking a quieter stay while being close to Stockholm's city life, offering a blend of residential charm and commercial accessibility.
Geographic Context
Jurisdiction
Sweden
County
Stockholm
Population
—
Time Zone
Europe/Stockholm
Coordinates
59.28°, 17.93°
Key Metrics
Safety Score · estimate
90
Female Safety
88
LGBTQ+ Safety
90
Traffic Safety
85
Food Safety
100
Monthly Cost · estimate
$2,530
Local Cost
$1,600
Local Income
$2,800
Cashless
97
English
93
Temperature
6.8°C
Summer Avg
17.0°C
Winter Avg
-2.3°C
Record High
31.8°C
Record Low
-24.8°C
Humidity
85%
Precipitation
665 mm
Internet Speed
334 Mbps
Upload
165 Mbps
Latency
3 ms
City Vibrancy
31
Coworking
0
Cafes
4
Nightlife
0
Parks
27
Transport
56
Walk Score
56
Footways
112.0
Airport
BMA
Distance
9 km
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 2026-03-22.
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: 80/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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