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Vetlanda
City in Jönköping, Sweden
Overview
Vetlanda is a charming small town in southern Sweden, set amid forests and lakes in the Jönköping region. It offers a relaxed pace of life, Scandinavian architecture, and friendly locals, making it an ideal stop for travelers seeking authentic Swedish culture. Despite its smaller size, Vetlanda has a lively town center and quick access to nature.
Geographic Context
Jurisdiction
Sweden
County
Jönköping
Population
13,895
Time Zone
Europe/Stockholm
Coordinates
57.43°, 15.08°
Key Metrics
Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
97
Monthly Cost · estimate
$2,095
Local Cost
$1,067
Local Income
$2,500
Cashless
90
English
70
Temperature
6.2°C
Summer Avg
15.4°C
Winter Avg
-2.4°C
Record High
31.0°C
Record Low
-23.4°C
Humidity
88%
Precipitation
835 mm
Internet Speed
75 Mbps
Upload
80 Mbps
Latency
52 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
100
Walk Score
100
Footways
208.0
Airport
HLF
Distance
46 km
Explore
Data sources
Source-backed data
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-06.
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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