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Konan-shi

City in Shiga, Japan

Overview

Konan-shi is a tranquil city located in southern Shiga Prefecture, embraced by natural beauty and reflecting the authentic pace of Japanese rural life. Its friendly neighborhoods and proximity to historic sites make it an appealing destination for those seeking a glimpse of local culture.

Geographic Context

Jurisdiction
Japan
Prefecture
Shiga
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.02°, 136.08°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
68
Traffic Safety
92
Food Safety
98
Monthly Cost · estimate
$1,225
Local Cost
$782
Local Income
$1,800
Cashless
62
English
30
Temperature
13.0°C
Summer Avg
23.3°C
Winter Avg
2.4°C
Record High
33.6°C
Record Low
-7.2°C
Humidity
85%
Precipitation
1673 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
11
Walk Score
11
Footways
22.0
Airport
—
Distance
—

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 2026-03-22.
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: 74/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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