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Iwanuma-shi

City in Miyagi, Japan

Overview

Iwanuma-shi is a peaceful city in Miyagi Prefecture, known for its deep historical roots and proximity to Sendai. The city is famed for Takekoma Inari Shrine and its annual festivals, surrounded by rice fields and tradition-filled neighborhoods.

Geographic Context

Jurisdiction
Japan
Prefecture
Miyagi
Population
—
Time Zone
Asia/Tokyo
Coordinates
38.12°, 140.88°

Key Metrics

Safety Score · estimate
87
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,235
Local Cost
$765
Local Income
$1,550
Cashless
70
English
34
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
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
39
Walk Score
39
Footways
77.0
Airport
SDJ
Distance
4 km

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: 61/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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