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Grub

City in Bavaria, Germany

Overview

Grub is a picturesque Bavarian hamlet set in rolling countryside, known for its traditional architecture, quiet atmosphere, and scenic natural surrounds. With just 140 residents, it is perfect for travelers seeking genuine rural charm and a slow-paced lifestyle.

Geographic Context

Jurisdiction
Germany
Land
Bavaria
Population
140
Time Zone
Europe/Berlin
Coordinates
50.10°, 11.93°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
75
Traffic Safety
88
Food Safety
98
Monthly Cost · estimate
$1,595
Local Cost
$908
Local Income
$2,300
Cashless
55
English
40
Temperature
7.7°C
Summer Avg
17.5°C
Winter Avg
-1.8°C
Record High
36.7°C
Record Low
-24.6°C
Humidity
82%
Precipitation
753 mm
Internet Speed
25 Mbps
Upload
18 Mbps
Latency
15 ms
City Vibrancy
1
Coworking
0
Cafes
1
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
HOQ
Distance
21 km

Data sources

Source-backed data

Ookla Open Data - Internet speed aggregates for 2024Q3 from 1 tests. Record updated 2025-12-05.
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 2026-03-23.
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: 55/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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