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Living in Saiwai 3-chōme, Izumi-shi: rent, safety & local area

Overall score
62
Top 47% in Kansai

Saiwai 3-chōme is a neighborhood in Izumi-shi, Japan, with 33 everyday amenities within walking distance. Nearest station: Shinodayama (10 min walk). Rent for one or two people runs ¥34K–¥75K. On sonar you can check whether it fits your commute and budget.

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savings

Rent

¥34K–¥75K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥47K–¥107K

train

Getting around

10 min walk
Shinodayama Sta. · JR Hanwa Line

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

people

Total population

1,043
Foreign residents 98 (9.4%)
Resident age groupsAvg. age 45.9
19%
10%
10%
15%
14%
12%
20%
~1940s70+

Census 2020 · age groups are for Izumi-shi

terrain

Terrain (slopes & elevation)

24m
Hilly
FlatSteep

Notable elevation change, about 13 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 61%
Kansai · 17 pts
🌳
Park17
🏥
Hospital1
Café1
🍴
Dining4

Within walking distance

child_care

Childcare

Top 36%
Kansai · 62 pts
🧒Nurseries5
🏫Schools3
🌳Park17

For families: 5 nurseries/kindergartens, 3 schools, 17 parks nearby.

volume_off

Quiet

Top 14%
Kansai · 100 pts
Road noiseNone
Railway noiseNone
Night noiseIzakaya ×2

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

shield

Safety (crime data)

Top 58%
Kansai · 69 pts · 0.37 per 100 people/yr · 大阪府警察 2024年
CautionArea avgSafe
Snatching / Bike theft4
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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Other areas in Izumi-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.