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Agematsu
City in Kōchi, Japan
Overview
Agematsu is a small, tranquil town set in the Kiso Valley of Kōchi, Japan, known for its historic post town roots and scenic river landscapes. Visitors can enjoy the blend of preserved Edo-period streets, local hospitality, and lush nature.
Geographic Context
Jurisdiction
Japan
Prefecture
Kōchi
Population
4,065
Time Zone
Asia/Tokyo
Coordinates
35.78°, 137.69°
Key Metrics
Safety Score · estimate
85
Female Safety
85
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,068
Local Cost
$662
Local Income
$1,800
Cashless
40
English
30
Temperature
7.6°C
Summer Avg
18.8°C
Winter Avg
-4.1°C
Record High
30.2°C
Record Low
-16.9°C
Humidity
87%
Precipitation
1664 mm
Internet Speed
141 Mbps
Upload
63 Mbps
Latency
12 ms
City Vibrancy
5
Coworking
0
Cafes
2
Nightlife
1
Parks
2
Transport
10
Walk Score
10
Footways
20.0
Airport
MMJ
Distance
47 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 2025-12-07.
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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