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Kakegawa Shi

City in Shizuoka, Japan

Overview

Kakegawa Shi is a charming city in Shizuoka Prefecture, renowned for its historic castle, lush tea plantations, and tranquil atmosphere. Blending modern convenience with cultural heritage, it's a favorite stop on the Tokaido route for travelers exploring central Japan.

Geographic Context

Jurisdiction
Japan
Prefecture
Shizuoka
Population
—
Time Zone
Asia/Tokyo
Coordinates
34.78°, 138.02°

Key Metrics

Safety Score · estimate
92
Female Safety
90
LGBTQ+ Safety
70
Traffic Safety
85
Food Safety
98
Monthly Cost · estimate
$1,285
Local Cost
$800
Local Income
$1,750
Cashless
65
English
40
Temperature
12.7°C
Summer Avg
22.1°C
Winter Avg
2.7°C
Record High
35.0°C
Record Low
-9.0°C
Humidity
82%
Precipitation
1875 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
100
Walk Score
100
Footways
672.0
Airport
FSZ
Distance
16 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 2026-03-21.
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: 75/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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