Frannach
City in Styria, Austria
Overview
Frannach is a picturesque rural village in Styria, Austria, surrounded by rolling hills, forests, and vineyards. Its small population, traditional architecture, and peaceful vibe make it an excellent destination for nature-lovers or travelers seeking an authentic Styrian experience away from crowds.
Geographic Context
Jurisdiction
Austria
State
Styria
Population
209
Time Zone
Europe/Vienna
Coordinates
46.91°, 15.63°
Key Metrics
Safety Score · estimate
94
Female Safety
90
LGBTQ+ Safety
75
Traffic Safety
90
Food Safety
99
Monthly Cost · estimate
$1,524
Local Cost
$1,028
Local Income
$1,800
Cashless
70
English
65
Temperature
9.9°C
Summer Avg
20.4°C
Winter Avg
-0.4°C
Record High
39.0°C
Record Low
-22.1°C
Humidity
77%
Precipitation
832 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
4.0
Airport
GRZ
Distance
17 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 2025-12-09.
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: 78/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.