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Is Shioya 3-chōme (Sumoto-shi) safe? Crime data, rent & livability

Overall score
54

How safe is Shioya 3-chōme? No crimes were reported in 2024. With so few incidents, the score is statistically smoothed toward the average, giving a safety score of 92/100.

Shioya 3-chōme is a neighborhood in Sumoto-shi, Japan, with 3 everyday amenities within walking distance. Nearest station: Kada (313 min walk). Rent for one or two people runs ¥30K–¥68K.

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savings

Rent

¥30K–¥68K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥52K–¥97K

train

Getting around

313 min walk
Kada Sta. · Nankai Kada Line

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

people

Total population

82
Foreign residents 0 (0.0%)
Resident age groupsAvg. age 52.3
15%
7%
8%
13%
13%
15%
29%
~1940s70+

Census 2020 · age groups are for Sumoto-shi

terrain

Terrain (slopes & elevation)

6m
Gentle slopes
FlatSteep

Gentle slopes, about 4 m of relief. The walk takes a little longer than the same distance on flat ground.

storefront

Local amenities

1pts
Kansai · 1 pts

Within walking distance

child_care

Childcare

24pts
Kansai · 24 pts
🧒Nurseries0
🏫Schools2
🌳Park0

For families: 2 schools nearby.

volume_off

Quiet

100pts
Kansai · 100 pts
Road noiseNone
Railway noiseNone
Night noiseNone

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

shield

Safety (crime data)

92pts
Kansai · 92 pts · 0.00 per 100 people/yr · 兵庫県警察 2024年
CautionArea avgSafe

Annual total 0

infoViolent crime isn't disclosed at the neighborhood level, so it isn't reflected in this score.

The local force publishes only a total for this block, without a breakdown by offence type. Annual counts per neighborhood from Metropolitan and prefectural police open data. Counts run higher where daytime foot traffic is heavy, so for a per-resident view see sonar's safety score (population-normalized). See the Kansai safety ranking →

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Other areas in Sumoto-shi

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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.