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Vindeln

City in Västerbotten, Sweden

Overview

Vindeln is a picturesque small town in northern Västerbotten, Sweden, famous for its pristine forests and the winding Vindel River. With a strong community atmosphere, it's an ideal base for nature enthusiasts and those seeking tranquility away from urban bustle.

Geographic Context

Jurisdiction
Sweden
County
Västerbotten
Population
2,505
Time Zone
Europe/Stockholm
Coordinates
64.20°, 19.72°

Key Metrics

Safety Score · estimate
93
Female Safety
90
LGBTQ+ Safety
85
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,600
Local Cost
$1,000
Local Income
$2,350
Cashless
95
English
75
Temperature
3.0°C
Summer Avg
14.1°C
Winter Avg
-7.1°C
Record High
31.0°C
Record Low
-31.6°C
Humidity
89%
Precipitation
816 mm
Internet Speed
105 Mbps
Upload
151 Mbps
Latency
12 ms
City Vibrancy
4
Coworking
0
Cafes
2
Nightlife
0
Parks
2
Transport
26
Walk Score
26
Footways
51.0
Airport
—
Distance
—

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 3 tests. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-07.
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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