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Living in Keyakidai 4-chōme, Sanda-shi: rent, safety & local area

Overall score
80
Top 4% in Kansai
🛡 Safety top 1%🤫 Quietness top 1%

Keyakidai 4-chōme is a neighborhood in Sanda-shi, Japan, with 31 everyday amenities within walking distance. Nearest station: Woody Town Chuo (12 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

12 min walk
Woody Town Chuo Sta. · Kobe Electric Railway Koen-toshi Line

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

people

Total population

2,014
Foreign residents 5 (0.3%)
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)

204m
Hilly
FlatSteep

Notable elevation change, about 12 m. The walk from the station has real ups and downs, so check the route itself when you view a place.

storefront

Local amenities

Top 12%
Kansai · 65 pts
🛒
Supermarket3
🏪
Convenience1
💊
Pharmacy2
🌳
Park10
🏥
Hospital2
Café1
🍴
Dining5

Within walking distance

child_care

Childcare

Top 47%
Kansai · 54 pts
🧒Nurseries3
🏫Schools2
🌳Park10

For families: 3 nurseries/kindergartens, 2 schools, 10 parks nearby.

volume_off

Quiet

Top 1%
Kansai · 100 pts
Road noiseNone
Railway noiseNone
Night noiseNone

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

shield

Safety (crime data)

Top 1%
Kansai · 100 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.

Violent crime (robbery, arson, etc.) was 0 in the latest year. 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.