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Natori Shi
City in Miyagi, Japan
Overview
Natori Shi is a city in Miyagi Prefecture, Japan, blending seaside charm, local traditions, and proximity to Sendai. It's known for its lively fish markets, family-friendly neighborhoods, and a resilient spirit following the 2011 tsunami.
Geographic Context
Jurisdiction
Japan
Prefecture
Miyagi
Population
—
Time Zone
Asia/Tokyo
Coordinates
38.17°, 140.87°
Key Metrics
Safety Score · estimate
88
Female Safety
82
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,380
Local Cost
$795
Local Income
$2,000
Cashless
72
English
48
Temperature
10.5°C
Summer Avg
21.5°C
Winter Avg
-0.9°C
Record High
37.0°C
Record Low
-13.9°C
Humidity
85%
Precipitation
1362 mm
Internet Speed
68 Mbps
Upload
26 Mbps
Latency
44 ms
City Vibrancy
65
Coworking
0
Cafes
9
Nightlife
14
Parks
42
Transport
59
Walk Score
59
Footways
117.0
Airport
SDJ
Distance
5 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 2026-03-21.
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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