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Ageoshimo
City in Saitama, Japan
Overview
Ageoshimo, a district within Ageo City in Saitama Prefecture, offers a blend of familiar suburban comforts and easy urban access. While it serves primarily as a residential area, visitors can enjoy local parks, shrines, and authentic Japanese dining close to Tokyo.
Geographic Context
Jurisdiction
Japan
Prefecture
Saitama
Population
—
Time Zone
Asia/Tokyo
Coordinates
35.97°, 139.61°
Key Metrics
Safety Score · estimate
84
Female Safety
80
LGBTQ+ Safety
65
Traffic Safety
76
Food Safety
96
Monthly Cost · estimate
$1,425
Local Cost
$935
Local Income
$2,250
Cashless
74
English
40
Temperature
13.2°C
Summer Avg
23.7°C
Winter Avg
2.3°C
Record High
36.6°C
Record Low
-8.1°C
Humidity
79%
Precipitation
1448 mm
Internet Speed
165 Mbps
Upload
167 Mbps
Latency
8 ms
City Vibrancy
—
Coworking
0
Cafes
0
Nightlife
0
Parks
0
Transport
21
Walk Score
21
Footways
41.0
Airport
OKO
Distance
34 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: 73/100; this is not a measured accuracy score. Model: derived+gpt-4.1. Record updated 2026-03-26.
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