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Living in Miwa 2-chōme, Sanda-shi: rent, safety & local area

Overall score
75

Miwa 2-chōme is a neighborhood in Sanda-shi, Japan, with 33 everyday amenities within walking distance. Nearest station: Sanda Hommachi (21 min walk). Rent for one or two people runs ¥53K–¥100K. On sonar you can check whether it fits your commute and budget.

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savings

Rent

¥53K–¥100K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥76K–¥143K

train

Getting around

21 min walk
Sanda Hommachi Sta. · Kobe Electric Railway Koen-toshi Line

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

people

Total population

274
Foreign residents 46 (16.8%)
Resident age groupsAvg. age 47
18%
10%
10%
13%
15%
16%
19%
~1940s70+

Census 2020 · age groups are for Sanda-shi

terrain

Terrain (slopes & elevation)

149m
Mostly flat
FlatSteep

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

storefront

Local amenities

69pts
Kansai · 69 pts
🛒
Supermarket3
🏪
Convenience1
💊
Pharmacy6
🌳
Park2
🏥
Hospital5
Café1
🍴
Dining5

Within walking distance

child_care

Childcare

66pts
Kansai · 66 pts
🧒Nurseries4
🏫Schools4
🌳Park2

For families: 4 nurseries/kindergartens, 4 schools nearby.

volume_off

Noise sources nearby

65pts
Kansai · 65 pts
Road noiseNone
Railway noiseVery close to tracks
Night noiseIzakaya ×1

There is a ground-level railway about 19 m away close by. Worth listening for it when you view a place.

shield

Safety (crime data)

100pts
Kansai · 100 pts · 0.09 per 100 people/yr · 兵庫県警察 2024年
CautionArea avgSafe
Snatching / Bike theft1
infoViolent crime isn't disclosed at the neighborhood level, so it isn't reflected in this score.

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).

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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.