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Ferdinand
City in Indiana, United States
Overview
Ferdinand, Indiana is a picturesque small town set amid rolling hills in southern Indiana. Famous for the Monastery Immaculate Conception, it offers quiet charm, a close-knit community, and easy access to nature.
Geographic Context
Jurisdiction
United States
State
Indiana
Population
2,157
Time Zone
America/New_York
Coordinates
38.22°, -86.86°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
60
Traffic Safety
75
Food Safety
95
Monthly Cost · estimate
$1,690
Local Cost
$1,047
Local Income
$2,800
Cashless
75
English
95
Temperature
13.3°C
Summer Avg
24.5°C
Winter Avg
1.2°C
Record High
42.0°C
Record Low
-23.1°C
Humidity
79%
Precipitation
1300 mm
Internet Speed
243 Mbps
Upload
52 Mbps
Latency
4 ms
City Vibrancy
5
Coworking
0
Cafes
1
Nightlife
0
Parks
4
Transport
16
Walk Score
16
Footways
31.0
Airport
HNB
Distance
8 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.
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