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Living in Higashinihombashi 3-chōme, Chuo-ku: rent, safety & local area

Overall score
72
Top 34% in Greater Tokyo
🧺 Convenience top 10%

Higashinihombashi 3-chōme is a neighborhood in Chuo-ku, Japan, with 78 everyday amenities within walking distance. Nearest station: Bakuroyokoyama (2 min walk). Rent for one or two people runs ¥81K–¥226K. On sonar you can check whether it fits your commute and budget.

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savings

Rent

¥81K–¥226K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥175K–¥450K

train

Getting around

2 min walk
Bakuroyokoyama Sta. · Toei Shinjuku Line

Add your commute destination to see the commute score for this area

people

Total population

2,290
Foreign residents 84 (3.7%)
Resident age groupsAvg. age 42
16%
10%
19%
21%
15%
8%
11%
~1940s70+

Census 2020 · age groups are for Chuo-ku

terrain

Terrain (slopes & elevation)

4m
Mostly flat
FlatSteep

The ground barely rises, so walking or cycling from the station is easy.

storefront

Local amenities

Top 10%
Greater Tokyo · 89 pts
🛒
Supermarket2
🏪
Convenience11
💊
Pharmacy10
🏥
Hospital12
Café11
🍴
Dining19

Within walking distance

child_care

Childcare

Top 41%
Greater Tokyo · 66 pts
🧒Nurseries2
🏫Schools7
🌳Park0

For families: 7 schools, 3 cram schools nearby.

volume_off

Quiet

Top 86%
Greater Tokyo · 65 pts
Road noiseNone
Railway noiseNone
Night noiseIzakaya ×1

No major road or railway runs nearby, so it stays quiet.

shield

Safety (crime data)

Top 65%
Greater Tokyo · 66 pts · 0.27 per 100 people/yr · 警視庁 2024年
CautionArea avgSafe
Assault / Robbery1Snatching / Bike theft9

Annual total 10

Violent crime (robbery, arson, etc.) was 0 in the latest year; most reports are theft (bicycle theft, shoplifting and the like). Annual counts per neighborhood from National Police Agency open data. Counts run higher where daytime foot traffic is heavy, so for a per-resident view see sonar's safety score (population-normalized).

warning

Disaster risk (hazard map)

2
floodFlood0.5〜1.0m
tsunamiTsunamiNone
landslideLandslideNone
wavesStorm surge〜0.5m
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Scored from police, municipal and OpenStreetMap open data, using the same formula for every neighborhood.

Sources: OpenStreetMap, National Police Agency open data, MLIT hazard maps, and the Real Estate Information Library, aggregated per neighborhood. May differ from current conditions.