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Kirchenpingarten

City in Bavaria, Germany

Overview

Kirchenpingarten is a small, idyllic village set in the heart of Upper Franconia, Bavaria. Surrounded by lush forests and rolling fields, it offers tranquility, authentic rural Bavarian culture, and scenic landscapes for outdoor enthusiasts.

Geographic Context

Jurisdiction
Germany
Land
Bavaria
Population
1,283
Time Zone
Europe/Berlin
Coordinates
49.93°, 11.78°

Key Metrics

Safety Score · estimate
92
Female Safety
88
LGBTQ+ Safety
80
Traffic Safety
85
Food Safety
99
Monthly Cost · estimate
$1,465
Local Cost
$940
Local Income
$2,250
Cashless
65
English
55
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
City Vibrancy
2
Coworking
0
Cafes
0
Nightlife
2
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
BYU
Distance
12 km

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: 60/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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