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Inashiki-shi
City in Ibaraki, Japan
Overview
Inashiki-shi is a charming rural city in Ibaraki Prefecture, known for its scenic rice paddies, peaceful shrines, and local cultural festivals. Visitors experience authentic countryside Japan amidst welcoming communities, making it an ideal destination for relaxation and local discovery.
Geographic Context
Jurisdiction
Japan
Prefecture
Ibaraki
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.95°, 140.37°
Key Metrics
Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
75
Food Safety
97
Monthly Cost · estimate
$1,328
Local Cost
$695
Local Income
$1,800
Cashless
60
English
30
Temperature
14.6°C
Summer Avg
23.6°C
Winter Avg
4.8°C
Record High
36.8°C
Record Low
-11.3°C
Humidity
77%
Precipitation
1422 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
NRT
Distance
19 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 2026-03-20.
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: 68/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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