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Satsumasendai Shi
City in Kagoshima, Japan
Overview
Satsumasendai Shi is a welcoming city in Kagoshima Prefecture known for its blend of tradition, natural beauty, and friendly local culture. With historic temples, quiet neighborhoods, and access to beautiful countryside, it offers a slower pace and authentic Japanese experiences.
Geographic Context
Jurisdiction
Japan
Prefecture
Kagoshima
Population
—
Time Zone
Asia/Tokyo
Coordinates
31.82°, 130.26°
Key Metrics
Safety Score · estimate
89
Female Safety
84
LGBTQ+ Safety
58
Traffic Safety
82
Food Safety
98
Monthly Cost · estimate
$1,175
Local Cost
$715
Local Income
$1,700
Cashless
54
English
30
Temperature
19.0°C
Summer Avg
25.9°C
Winter Avg
11.6°C
Record High
34.0°C
Record Low
2.0°C
Humidity
78%
Precipitation
2056 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
2
Walk Score
2
Footways
3.0
Airport
KOJ
Distance
44 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 2026-03-22.
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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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