Großniedesheim
City in Rhineland-Palatinate, Germany
Overview
Großniedesheim is a charming small village in Rhineland-Palatinate, Germany, known for its close-knit community, rural landscapes, and traditional German ambiance. Its tranquil streets and agricultural surroundings offer an authentic taste of local life near the larger cities of Worms and Frankenthal.
Geographic Context
Jurisdiction
Germany
Land
Rhineland-Palatinate
Population
1,408
Time Zone
Europe/Berlin
Coordinates
49.58°, 8.31°
Key Metrics
Safety Score · estimate
91
Female Safety
88
LGBTQ+ Safety
82
Traffic Safety
90
Food Safety
98
Monthly Cost · estimate
$1,755
Local Cost
$1,124
Local Income
$2,700
Cashless
70
English
58
Temperature
10.1°C
Summer Avg
19.7°C
Winter Avg
1.1°C
Record High
39.5°C
Record Low
-20.7°C
Humidity
79%
Precipitation
677 mm
Internet Speed
165 Mbps
Upload
100 Mbps
Latency
7 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
6
Walk Score
6
Footways
12.0
Airport
MHG
Distance
18 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: 63/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.