Hattert
City in Rhineland-Palatinate, Germany
Overview
Hattert is a charming village in Rhineland-Palatinate, Germany, blending rural tranquility with friendly local life. It's surrounded by forests and fields, making it ideal for nature walks and quiet retreats. The community is small, welcoming, and rooted in regional tradition.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,754
Time Zone
Europe/Berlin
Coordinates
50.67°, 7.77°
Key Metrics
Safety Score · estimate
88
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
83
Food Safety
95
Monthly Cost · estimate
$1,537
Local Cost
$970
Local Income
$2,450
Cashless
70
English
55
Temperature
9.2°C
Summer Avg
18.0°C
Winter Avg
0.7°C
Record High
38.7°C
Record Low
-18.6°C
Humidity
82%
Precipitation
785 mm
City Vibrancy
1
Coworking
0
Cafes
0
Nightlife
1
Parks
0
Transport
5
Walk Score
5
Footways
10.0
Airport
SGE
Distance
23 km
Explore
Data sources
Source-backed data
World Air Quality Index - Latest available city-level air quality station measurement. Record updated 2025-12-05.
OpenStreetMap - Nearby amenities counted from OpenStreetMap-derived city extracts. Record updated 2025-12-08.
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.