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Sambu-gun

City in Chiba, Japan

Overview

Sambu-gun is a rural district in Chiba Prefecture, Japan, characterized by peaceful towns, lush countryside, and easy access to Narita International Airport. Its tranquil pace and abundance of nature make it an ideal spot for travelers seeking authentic Japanese rural life away from urban crowds.

Geographic Context

Jurisdiction
Japan
Prefecture
Chiba
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.69°, 140.45°

Key Metrics

Safety Score · estimate
85
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
80
Food Safety
95
Monthly Cost · estimate
$1,215
Local Cost
$820
Local Income
$1,800
Cashless
55
English
35
Temperature
17.1°C
Summer Avg
24.0°C
Winter Avg
9.4°C
Record High
33.7°C
Record Low
0.7°C
Humidity
78%
Precipitation
1659 mm
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
0
Walk Score
0
Footways
—
Airport
NRT
Distance
12 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: 65/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.

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