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Living in Sengoku Higashimachi, Kadoma-shi: rent, safety & local area

Overall score
81
Top 4% in Kansai
🧒 Childcare top 3%🤫 Quietness top 1%

Sengoku Higashimachi is a neighborhood in Kadoma-shi, Japan, with 33 everyday amenities within walking distance. Nearest station: Kadoma-Minami (29 min walk). Rent for one or two people runs ¥34K–¥76K. On sonar you can check whether it fits your commute and budget.

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savings

Rent

¥34K–¥76K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥48K–¥108K

train

Getting around

29 min walk
Kadoma-Minami Sta. · Osaka Metro Nagahori Tsurumi-ryokuchi Line

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

people

Total population

2,815
Foreign residents 214 (7.6%)
Resident age groupsAvg. age 48.9
15%
11%
10%
15%
15%
11%
24%
~1940s70+

Census 2020 · age groups are for Kadoma-shi

terrain

Terrain (slopes & elevation)

3m
Mostly flat
FlatSteep

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

storefront

Local amenities

Top 18%
Kansai · 56 pts
🛒
Supermarket2
🏪
Convenience2
💊
Pharmacy3
🌳
Park6
🏥
Hospital3
Café1

Within walking distance

child_care

Childcare

Top 3%
Kansai · 89 pts
🧒Nurseries6
🏫Schools10
🌳Park6

For families: 6 nurseries/kindergartens, 10 schools, 6 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 50%
Kansai · 77 pts · 0.27 per 100 people/yr · 大阪府警察 2024年
CautionArea avgSafe
Snatching / Bike theft8
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.