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Niederlenz
City in Aargau, Switzerland
Overview
Niederlenz is a quaint, residential town in the canton of Aargau, Switzerland, well-connected by train and known for its family-friendly atmosphere. The town offers a peaceful lifestyle with easy access to recreation and everyday amenities. Its close proximity to larger cities like Lenzburg makes it ideal for both locals and visitors seeking serenity and convenience.
Geographic Context
Jurisdiction
Switzerland
Canton
Aargau
Population
4,896
Time Zone
Europe/Zurich
Coordinates
47.40°, 8.18°
Key Metrics
Safety Score · estimate
95
Female Safety
92
LGBTQ+ Safety
87
Traffic Safety
93
Food Safety
99
Monthly Cost · estimate
$3,075
Local Cost
$2,280
Local Income
$5,100
Cashless
93
English
72
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
Internet Speed
336 Mbps
Upload
129 Mbps
Latency
8 ms
City Vibrancy
28
Coworking
1
Cafes
9
Nightlife
10
Parks
8
Transport
100
Walk Score
100
Footways
451.0
Airport
ZRH
Distance
29 km
Explore
Data sources
Source-backed data
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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