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Tomioka-shi

City in Gunma, Japan

Overview

Tomioka-shi is a charming city in Gunma Prefecture, most famous for the UNESCO World Heritage Tomioka Silk Mill, a symbol of Japan's industrial modernization. The city blends historical significance, natural beauty, and local community spirit, offering visitors both cultural and outdoor experiences.

Geographic Context

Jurisdiction
Japan
Prefecture
Gunma
Population
Time Zone
Asia/Tokyo
Coordinates
36.25°, 138.88°

Key Metrics

Safety Score · estimate
90
Female Safety
85
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,078
Local Cost
$690
Local Income
$1,850
Cashless
55
English
30
Temperature
8.0°C
Summer Avg
19.2°C
Winter Avg
-3.6°C
Record High
30.3°C
Record Low
-15.3°C
Humidity
87%
Precipitation
1433 mm
City Vibrancy
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
76
Walk Score
76
Footways
152.0
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: 70/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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