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Living in Nishiyamadai 4-chōme, Osakasayama-shi: rent, safety & local area

Overall score
65
Top 36% in Kansai
🤫 Quietness top 10%

Nishiyamadai 4-chōme is a neighborhood in Osakasayama-shi, Japan, with 40 everyday amenities within walking distance. Nearest station: Kongo (34 min walk). Rent for one or two people runs ¥37K–¥82K. On sonar you can check whether it fits your commute and budget.

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savings

Rent

¥37K–¥82K
Single / couple (Studio–1LDK)

Family (2LDK–3LDK) ¥52K–¥117K

train

Getting around

34 min walk
Kongo Sta. · Nankai Koya Line

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

people

Total population

1,818
Foreign residents 16 (0.9%)
Resident age groupsAvg. age 46.9
19%
9%
11%
15%
13%
12%
23%
~1940s70+

Census 2020 · age groups are for Osakasayama-shi

terrain

Terrain (slopes & elevation)

120m
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 34%
Kansai · 39 pts
🏪
Convenience1
💊
Pharmacy2
🌳
Park13
🏥
Hospital4
Café1
🍴
Dining10

Within walking distance

child_care

Childcare

Top 27%
Kansai · 68 pts
🧒Nurseries3
🏫Schools5
🌳Park13

For families: 3 nurseries/kindergartens, 5 schools, 13 parks nearby.

volume_off

Quiet

Top 10%
Kansai · 100 pts
Road noiseNone
Railway noiseNone
Night noiseIzakaya ×1

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

shield

Safety (crime data)

Top 94%
Kansai · 54 pts · 0.72 per 100 people/yr · 大阪府警察 2024年
CautionArea avgSafe
Snatching / Bike theft13
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 Osakasayama-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.