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Bezirk Kulm
City in Aargau, Switzerland
Overview
Bezirk Kulm is a peaceful and picturesque district in the canton of Aargau, Switzerland, comprising several quaint villages set amid rolling hills and green valleys. Known for its rural landscapes, traditional Swiss culture, and excellent access to outdoor activities, it offers a genuine taste of the Swiss countryside away from larger tourist hubs.
Geographic Context
Jurisdiction
Switzerland
Canton
Aargau
Population
—
Time Zone
Europe/Zurich
Coordinates
47.29°, 8.13°
Key Metrics
Safety Score · estimate
96
Female Safety
94
LGBTQ+ Safety
88
Traffic Safety
92
Food Safety
99
Monthly Cost · estimate
$3,080
Local Cost
$2,220
Local Income
$4,200
Cashless
93
English
78
Temperature
9.0°C
Summer Avg
17.9°C
Winter Avg
0.0°C
Record High
32.9°C
Record Low
-19.3°C
Humidity
83%
Precipitation
1164 mm
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
5
Walk Score
5
Footways
9.0
Airport
EML
Distance
25 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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